diff --git "a/weights/model-base/trainer_state.json" "b/weights/model-base/trainer_state.json" new file mode 100644--- /dev/null +++ "b/weights/model-base/trainer_state.json" @@ -0,0 +1,6019 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.1333333333333333, + "eval_steps": 500, + "global_step": 1000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 0.0, + "loss": 2.7245, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 9.527570621338671e-07, + "loss": 2.1803, + "step": 2 + }, + { + "epoch": 0.01, + "learning_rate": 1.5100842157794359e-06, + "loss": 2.6594, + "step": 3 + }, + { + "epoch": 0.01, + "learning_rate": 1.9055141242677342e-06, + "loss": 2.2048, + "step": 4 + }, + { + "epoch": 0.01, + "learning_rate": 2.21223339017097e-06, + "loss": 2.5195, + "step": 5 + }, + { + "epoch": 0.01, + "learning_rate": 2.6747272279066545e-06, + "loss": 2.0442, + "step": 6 + }, + { + "epoch": 0.01, + "learning_rate": 2.858271186401601e-06, + "loss": 2.2307, + "step": 7 + }, + { + "epoch": 0.02, + "learning_rate": 3.0201684315588718e-06, + "loss": 2.1833, + "step": 8 + }, + { + "epoch": 0.02, + "learning_rate": 3.1649904523048373e-06, + "loss": 2.1968, + "step": 9 + }, + { + "epoch": 0.02, + "learning_rate": 3.29599790562588e-06, + "loss": 1.8093, + "step": 10 + }, + { + "epoch": 0.02, + "learning_rate": 3.4155983400471703e-06, + "loss": 1.707, + "step": 11 + }, + { + "epoch": 0.03, + "learning_rate": 3.525620074459582e-06, + "loss": 1.6357, + "step": 12 + }, + { + "epoch": 0.03, + "learning_rate": 3.627484290040521e-06, + "loss": 1.6422, + "step": 13 + }, + { + "epoch": 0.03, + "learning_rate": 3.7223176059504063e-06, + "loss": 1.4509, + "step": 14 + }, + { + "epoch": 0.03, + "learning_rate": 3.8110282485354684e-06, + "loss": 1.4365, + "step": 15 + }, + { + "epoch": 0.03, + "learning_rate": 3.972925493692739e-06, + "loss": 1.2501, + "step": 16 + }, + { + "epoch": 0.04, + "learning_rate": 4.047242937866133e-06, + "loss": 1.367, + "step": 17 + }, + { + "epoch": 0.04, + "learning_rate": 4.117747514438704e-06, + "loss": 1.2649, + "step": 18 + }, + { + "epoch": 0.04, + "learning_rate": 4.18481144368609e-06, + "loss": 1.2291, + "step": 19 + }, + { + "epoch": 0.04, + "learning_rate": 4.2487549677597476e-06, + "loss": 1.3057, + "step": 20 + }, + { + "epoch": 0.04, + "learning_rate": 4.309855599633408e-06, + "loss": 1.2616, + "step": 21 + }, + { + "epoch": 0.05, + "learning_rate": 4.368355402181037e-06, + "loss": 1.3009, + "step": 22 + }, + { + "epoch": 0.05, + "learning_rate": 4.42446678034194e-06, + "loss": 1.0197, + "step": 23 + }, + { + "epoch": 0.05, + "learning_rate": 4.478377136593449e-06, + "loss": 1.3199, + "step": 24 + }, + { + "epoch": 0.05, + "learning_rate": 4.580241352174388e-06, + "loss": 1.1128, + "step": 25 + }, + { + "epoch": 0.06, + "learning_rate": 4.628475700819906e-06, + "loss": 1.1533, + "step": 26 + }, + { + "epoch": 0.06, + "learning_rate": 4.675074668084273e-06, + "loss": 1.1834, + "step": 27 + }, + { + "epoch": 0.06, + "learning_rate": 4.720145521918643e-06, + "loss": 1.0839, + "step": 28 + }, + { + "epoch": 0.06, + "learning_rate": 4.763785310669335e-06, + "loss": 1.1704, + "step": 29 + }, + { + "epoch": 0.06, + "learning_rate": 4.806082121405316e-06, + "loss": 1.1539, + "step": 30 + }, + { + "epoch": 0.07, + "learning_rate": 4.84711615034489e-06, + "loss": 1.0536, + "step": 31 + }, + { + "epoch": 0.07, + "learning_rate": 4.886960618077624e-06, + "loss": 1.0446, + "step": 32 + }, + { + "epoch": 0.07, + "learning_rate": 4.9256825558266055e-06, + "loss": 1.0363, + "step": 33 + }, + { + "epoch": 0.07, + "learning_rate": 4.9633434839600245e-06, + "loss": 0.9855, + "step": 34 + }, + { + "epoch": 0.07, + "learning_rate": 5e-06, + "loss": 1.0568, + "step": 35 + }, + { + "epoch": 0.08, + "learning_rate": 5e-06, + "loss": 1.0199, + "step": 36 + }, + { + "epoch": 0.08, + "learning_rate": 5e-06, + "loss": 1.0988, + "step": 37 + }, + { + "epoch": 0.08, + "learning_rate": 5e-06, + "loss": 1.0265, + "step": 38 + }, + { + "epoch": 0.08, + "learning_rate": 5e-06, + "loss": 0.9715, + "step": 39 + }, + { + "epoch": 0.09, + "learning_rate": 5e-06, + "loss": 0.9809, + "step": 40 + }, + { + "epoch": 0.09, + "learning_rate": 5e-06, + "loss": 1.0484, + "step": 41 + }, + { + "epoch": 0.09, + "learning_rate": 5e-06, + "loss": 1.0399, + "step": 42 + }, + { + "epoch": 0.09, + "learning_rate": 5e-06, + "loss": 1.0575, + "step": 43 + }, + { + "epoch": 0.09, + "learning_rate": 5e-06, + "loss": 1.1035, + "step": 44 + }, + { + "epoch": 0.1, + "learning_rate": 5e-06, + "loss": 0.9413, + "step": 45 + }, + { + "epoch": 0.1, + "learning_rate": 5e-06, + "loss": 1.0296, + "step": 46 + }, + { + "epoch": 0.1, + "learning_rate": 5e-06, + "loss": 1.0274, + "step": 47 + }, + { + "epoch": 0.1, + "learning_rate": 5e-06, + "loss": 0.9839, + "step": 48 + }, + { + "epoch": 0.1, + "learning_rate": 5e-06, + "loss": 0.984, + "step": 49 + }, + { + "epoch": 0.11, + "learning_rate": 5e-06, + "loss": 0.964, + "step": 50 + }, + { + "epoch": 0.11, + "learning_rate": 5e-06, + "loss": 0.8514, + "step": 51 + }, + { + "epoch": 0.11, + "learning_rate": 5e-06, + "loss": 0.9202, + "step": 52 + }, + { + "epoch": 0.11, + "learning_rate": 5e-06, + "loss": 0.9631, + "step": 53 + }, + { + "epoch": 0.12, + "learning_rate": 5e-06, + "loss": 0.8791, + "step": 54 + }, + { + "epoch": 0.12, + "learning_rate": 5e-06, + "loss": 0.9179, + "step": 55 + }, + { + "epoch": 0.12, + "learning_rate": 5e-06, + "loss": 0.9444, + "step": 56 + }, + { + "epoch": 0.12, + "learning_rate": 5e-06, + "loss": 0.9955, + "step": 57 + }, + { + "epoch": 0.12, + "learning_rate": 5e-06, + "loss": 0.7711, + "step": 58 + }, + { + "epoch": 0.13, + "learning_rate": 5e-06, + "loss": 0.908, + "step": 59 + }, + { + "epoch": 0.13, + "learning_rate": 5e-06, + "loss": 0.9389, + "step": 60 + }, + { + "epoch": 0.13, + "learning_rate": 5e-06, + "loss": 0.9576, + "step": 61 + }, + { + "epoch": 0.13, + "learning_rate": 5e-06, + "loss": 0.8092, + "step": 62 + }, + { + "epoch": 0.13, + "learning_rate": 5e-06, + "loss": 1.0091, + "step": 63 + }, + { + "epoch": 0.14, + "learning_rate": 5e-06, + "loss": 0.8951, + "step": 64 + }, + { + "epoch": 0.14, + "learning_rate": 5e-06, + "loss": 0.971, + "step": 65 + }, + { + "epoch": 0.14, + "learning_rate": 5e-06, + "loss": 0.9817, + "step": 66 + }, + { + "epoch": 0.14, + "learning_rate": 5e-06, + "loss": 0.8937, + "step": 67 + }, + { + "epoch": 0.15, + "learning_rate": 5e-06, + "loss": 0.9479, + "step": 68 + }, + { + "epoch": 0.15, + "learning_rate": 5e-06, + "loss": 0.9326, + "step": 69 + }, + { + "epoch": 0.15, + "learning_rate": 5e-06, + "loss": 0.8633, + "step": 70 + }, + { + "epoch": 0.15, + "learning_rate": 5e-06, + "loss": 0.9969, + "step": 71 + }, + { + "epoch": 0.15, + "learning_rate": 5e-06, + "loss": 0.7864, + "step": 72 + }, + { + "epoch": 0.16, + "learning_rate": 5e-06, + "loss": 0.8292, + "step": 73 + }, + { + "epoch": 0.16, + "learning_rate": 5e-06, + "loss": 0.848, + "step": 74 + }, + { + "epoch": 0.16, + "learning_rate": 5e-06, + "loss": 0.8667, + "step": 75 + }, + { + "epoch": 0.16, + "learning_rate": 5e-06, + "loss": 0.9081, + "step": 76 + }, + { + "epoch": 0.16, + "learning_rate": 5e-06, + "loss": 0.8571, + "step": 77 + }, + { + "epoch": 0.17, + "learning_rate": 5e-06, + "loss": 0.8555, + "step": 78 + }, + { + "epoch": 0.17, + "learning_rate": 5e-06, + "loss": 1.0347, + "step": 79 + }, + { + "epoch": 0.17, + "learning_rate": 5e-06, + "loss": 0.8916, + "step": 80 + }, + { + "epoch": 0.17, + "learning_rate": 5e-06, + "loss": 0.9043, + "step": 81 + }, + { + "epoch": 0.17, + "learning_rate": 5e-06, + "loss": 0.9539, + "step": 82 + }, + { + "epoch": 0.18, + "learning_rate": 5e-06, + "loss": 0.834, + "step": 83 + }, + { + "epoch": 0.18, + "learning_rate": 5e-06, + "loss": 0.9133, + "step": 84 + }, + { + "epoch": 0.18, + "learning_rate": 5e-06, + "loss": 0.8902, + "step": 85 + }, + { + "epoch": 0.18, + "learning_rate": 5e-06, + "loss": 0.9883, + "step": 86 + }, + { + "epoch": 0.19, + "learning_rate": 5e-06, + "loss": 0.8168, + "step": 87 + }, + { + "epoch": 0.19, + "learning_rate": 5e-06, + "loss": 0.887, + "step": 88 + }, + { + "epoch": 0.19, + "learning_rate": 5e-06, + "loss": 0.8416, + "step": 89 + }, + { + "epoch": 0.19, + "learning_rate": 5e-06, + "loss": 0.8718, + "step": 90 + }, + { + "epoch": 0.19, + "learning_rate": 5e-06, + "loss": 0.9709, + "step": 91 + }, + { + "epoch": 0.2, + "learning_rate": 5e-06, + "loss": 0.8788, + "step": 92 + }, + { + "epoch": 0.2, + "learning_rate": 5e-06, + "loss": 0.8702, + "step": 93 + }, + { + "epoch": 0.2, + "learning_rate": 5e-06, + "loss": 0.8478, + "step": 94 + }, + { + "epoch": 0.2, + "learning_rate": 5e-06, + "loss": 0.8489, + "step": 95 + }, + { + "epoch": 0.2, + "learning_rate": 5e-06, + "loss": 0.9661, + "step": 96 + }, + { + "epoch": 0.21, + "learning_rate": 5e-06, + "loss": 0.878, + "step": 97 + }, + { + "epoch": 0.21, + "learning_rate": 5e-06, + "loss": 0.8501, + "step": 98 + }, + { + "epoch": 0.21, + "learning_rate": 5e-06, + "loss": 0.8409, + "step": 99 + }, + { + "epoch": 0.21, + "learning_rate": 5e-06, + "loss": 0.969, + "step": 100 + }, + { + "epoch": 0.22, + "learning_rate": 5e-06, + "loss": 0.9025, + "step": 101 + }, + { + "epoch": 0.22, + "learning_rate": 5e-06, + "loss": 0.9762, + "step": 102 + }, + { + "epoch": 0.22, + "learning_rate": 5e-06, + "loss": 0.911, + "step": 103 + }, + { + "epoch": 0.22, + "learning_rate": 5e-06, + "loss": 0.9844, + "step": 104 + }, + { + "epoch": 0.22, + "learning_rate": 5e-06, + "loss": 0.8977, + "step": 105 + }, + { + "epoch": 0.23, + "learning_rate": 5e-06, + "loss": 0.8984, + "step": 106 + }, + { + "epoch": 0.23, + "learning_rate": 5e-06, + "loss": 0.8466, + "step": 107 + }, + { + "epoch": 0.23, + "learning_rate": 5e-06, + "loss": 0.8538, + "step": 108 + }, + { + "epoch": 0.23, + "learning_rate": 5e-06, + "loss": 0.8805, + "step": 109 + }, + { + "epoch": 0.23, + "learning_rate": 5e-06, + "loss": 0.8249, + "step": 110 + }, + { + "epoch": 0.24, + "learning_rate": 5e-06, + "loss": 0.7971, + "step": 111 + }, + { + "epoch": 0.24, + "learning_rate": 5e-06, + "loss": 0.8538, + "step": 112 + }, + { + "epoch": 0.24, + "learning_rate": 5e-06, + "loss": 0.904, + "step": 113 + }, + { + "epoch": 0.24, + "learning_rate": 5e-06, + "loss": 0.9772, + "step": 114 + }, + { + "epoch": 0.25, + "learning_rate": 5e-06, + "loss": 0.8674, + "step": 115 + }, + { + "epoch": 0.25, + "learning_rate": 5e-06, + "loss": 0.8733, + "step": 116 + }, + { + "epoch": 0.25, + "learning_rate": 5e-06, + "loss": 0.874, + "step": 117 + }, + { + "epoch": 0.25, + "learning_rate": 5e-06, + "loss": 0.944, + "step": 118 + }, + { + "epoch": 0.25, + "learning_rate": 5e-06, + "loss": 0.9016, + "step": 119 + }, + { + "epoch": 0.26, + "learning_rate": 5e-06, + "loss": 0.8858, + "step": 120 + }, + { + "epoch": 0.26, + "learning_rate": 5e-06, + "loss": 0.8547, + "step": 121 + }, + { + "epoch": 0.26, + "learning_rate": 5e-06, + "loss": 0.8012, + "step": 122 + }, + { + "epoch": 0.26, + "learning_rate": 5e-06, + "loss": 0.7712, + "step": 123 + }, + { + "epoch": 0.26, + "learning_rate": 5e-06, + "loss": 0.8255, + "step": 124 + }, + { + "epoch": 0.27, + "learning_rate": 5e-06, + "loss": 0.8307, + "step": 125 + }, + { + "epoch": 0.27, + "learning_rate": 5e-06, + "loss": 0.8892, + "step": 126 + }, + { + "epoch": 0.27, + "learning_rate": 5e-06, + "loss": 0.899, + "step": 127 + }, + { + "epoch": 0.27, + "learning_rate": 5e-06, + "loss": 0.8566, + "step": 128 + }, + { + "epoch": 0.28, + "learning_rate": 5e-06, + "loss": 0.807, + "step": 129 + }, + { + "epoch": 0.28, + "learning_rate": 5e-06, + "loss": 0.8177, + "step": 130 + }, + { + "epoch": 0.28, + "learning_rate": 5e-06, + "loss": 0.8705, + "step": 131 + }, + { + "epoch": 0.28, + "learning_rate": 5e-06, + "loss": 0.7446, + "step": 132 + }, + { + "epoch": 0.28, + "learning_rate": 5e-06, + "loss": 0.8639, + "step": 133 + }, + { + "epoch": 0.29, + "learning_rate": 5e-06, + "loss": 0.8176, + "step": 134 + }, + { + "epoch": 0.29, + "learning_rate": 5e-06, + "loss": 0.8843, + "step": 135 + }, + { + "epoch": 0.29, + "learning_rate": 5e-06, + "loss": 0.8807, + "step": 136 + }, + { + "epoch": 0.29, + "learning_rate": 5e-06, + "loss": 0.8815, + "step": 137 + }, + { + "epoch": 0.29, + "learning_rate": 5e-06, + "loss": 0.8774, + "step": 138 + }, + { + "epoch": 0.3, + "learning_rate": 5e-06, + "loss": 0.8063, + "step": 139 + }, + { + "epoch": 0.3, + "learning_rate": 5e-06, + "loss": 0.8184, + "step": 140 + }, + { + "epoch": 0.3, + "learning_rate": 5e-06, + "loss": 0.7814, + "step": 141 + }, + { + "epoch": 0.3, + "learning_rate": 5e-06, + "loss": 0.9093, + "step": 142 + }, + { + "epoch": 0.31, + "learning_rate": 5e-06, + "loss": 0.8119, + "step": 143 + }, + { + "epoch": 0.31, + "learning_rate": 5e-06, + "loss": 0.8116, + "step": 144 + }, + { + "epoch": 0.31, + "learning_rate": 5e-06, + "loss": 0.8736, + "step": 145 + }, + { + "epoch": 0.31, + "learning_rate": 5e-06, + "loss": 0.8226, + "step": 146 + }, + { + "epoch": 0.31, + "learning_rate": 5e-06, + "loss": 0.8339, + "step": 147 + }, + { + "epoch": 0.32, + "learning_rate": 5e-06, + "loss": 0.7903, + "step": 148 + }, + { + "epoch": 0.32, + "learning_rate": 5e-06, + "loss": 0.8177, + "step": 149 + }, + { + "epoch": 0.32, + "learning_rate": 5e-06, + "loss": 0.8505, + "step": 150 + }, + { + "epoch": 0.32, + "learning_rate": 5e-06, + "loss": 0.8066, + "step": 151 + }, + { + "epoch": 0.32, + "learning_rate": 5e-06, + "loss": 0.8478, + "step": 152 + }, + { + "epoch": 0.33, + "learning_rate": 5e-06, + "loss": 0.8183, + "step": 153 + }, + { + "epoch": 0.33, + "learning_rate": 5e-06, + "loss": 0.8489, + "step": 154 + }, + { + "epoch": 0.33, + "learning_rate": 5e-06, + "loss": 0.8301, + "step": 155 + }, + { + "epoch": 0.33, + "learning_rate": 5e-06, + "loss": 0.8546, + "step": 156 + }, + { + "epoch": 0.33, + "learning_rate": 5e-06, + "loss": 0.7771, + "step": 157 + }, + { + "epoch": 0.34, + "learning_rate": 5e-06, + "loss": 0.808, + "step": 158 + }, + { + "epoch": 0.34, + "learning_rate": 5e-06, + "loss": 0.896, + "step": 159 + }, + { + "epoch": 0.34, + "learning_rate": 5e-06, + "loss": 0.8946, + "step": 160 + }, + { + "epoch": 0.34, + "learning_rate": 5e-06, + "loss": 0.9003, + "step": 161 + }, + { + "epoch": 0.35, + "learning_rate": 5e-06, + "loss": 0.8551, + "step": 162 + }, + { + "epoch": 0.35, + "learning_rate": 5e-06, + "loss": 0.8998, + "step": 163 + }, + { + "epoch": 0.35, + "learning_rate": 5e-06, + "loss": 0.8363, + "step": 164 + }, + { + "epoch": 0.35, + "learning_rate": 5e-06, + "loss": 0.8494, + "step": 165 + }, + { + "epoch": 0.35, + "learning_rate": 5e-06, + "loss": 0.8651, + "step": 166 + }, + { + "epoch": 0.36, + "learning_rate": 5e-06, + "loss": 0.816, + "step": 167 + }, + { + "epoch": 0.36, + "learning_rate": 5e-06, + "loss": 0.8236, + "step": 168 + }, + { + "epoch": 0.36, + "learning_rate": 5e-06, + "loss": 0.8982, + "step": 169 + }, + { + "epoch": 0.36, + "learning_rate": 5e-06, + "loss": 0.8074, + "step": 170 + }, + { + "epoch": 0.36, + "learning_rate": 5e-06, + "loss": 0.8012, + "step": 171 + }, + { + "epoch": 0.37, + "learning_rate": 5e-06, + "loss": 0.8539, + "step": 172 + }, + { + "epoch": 0.37, + "learning_rate": 5e-06, + "loss": 0.8164, + "step": 173 + }, + { + "epoch": 0.37, + "learning_rate": 5e-06, + "loss": 0.8505, + "step": 174 + }, + { + "epoch": 0.37, + "learning_rate": 5e-06, + "loss": 0.8541, + "step": 175 + }, + { + "epoch": 0.38, + "learning_rate": 5e-06, + "loss": 0.9559, + "step": 176 + }, + { + "epoch": 0.38, + "learning_rate": 5e-06, + "loss": 0.7716, + "step": 177 + }, + { + "epoch": 0.38, + "learning_rate": 5e-06, + "loss": 0.781, + "step": 178 + }, + { + "epoch": 0.38, + "learning_rate": 5e-06, + "loss": 0.8176, + "step": 179 + }, + { + "epoch": 0.38, + "learning_rate": 5e-06, + "loss": 0.8437, + "step": 180 + }, + { + "epoch": 0.39, + "learning_rate": 5e-06, + "loss": 0.7996, + "step": 181 + }, + { + "epoch": 0.39, + "learning_rate": 5e-06, + "loss": 0.7764, + "step": 182 + }, + { + "epoch": 0.39, + "learning_rate": 5e-06, + "loss": 0.8984, + "step": 183 + }, + { + "epoch": 0.39, + "learning_rate": 5e-06, + "loss": 0.9123, + "step": 184 + }, + { + "epoch": 0.39, + "learning_rate": 5e-06, + "loss": 0.8965, + "step": 185 + }, + { + "epoch": 0.4, + "learning_rate": 5e-06, + "loss": 0.825, + "step": 186 + }, + { + "epoch": 0.4, + "learning_rate": 5e-06, + "loss": 0.9136, + "step": 187 + }, + { + "epoch": 0.4, + "learning_rate": 5e-06, + "loss": 0.8742, + "step": 188 + }, + { + "epoch": 0.4, + "learning_rate": 5e-06, + "loss": 0.8452, + "step": 189 + }, + { + "epoch": 0.41, + "learning_rate": 5e-06, + "loss": 0.8612, + "step": 190 + }, + { + "epoch": 0.41, + "learning_rate": 5e-06, + "loss": 0.8185, + "step": 191 + }, + { + "epoch": 0.41, + "learning_rate": 5e-06, + "loss": 0.8671, + "step": 192 + }, + { + "epoch": 0.41, + "learning_rate": 5e-06, + "loss": 0.8548, + "step": 193 + }, + { + "epoch": 0.41, + "learning_rate": 5e-06, + "loss": 0.8687, + "step": 194 + }, + { + "epoch": 0.42, + "learning_rate": 5e-06, + "loss": 0.8321, + "step": 195 + }, + { + "epoch": 0.42, + "learning_rate": 5e-06, + "loss": 0.7973, + "step": 196 + }, + { + "epoch": 0.42, + "learning_rate": 5e-06, + "loss": 0.8885, + "step": 197 + }, + { + "epoch": 0.42, + "learning_rate": 5e-06, + "loss": 0.8577, + "step": 198 + }, + { + "epoch": 0.42, + "learning_rate": 5e-06, + "loss": 0.8114, + "step": 199 + }, + { + "epoch": 0.43, + "learning_rate": 5e-06, + "loss": 0.7769, + "step": 200 + }, + { + "epoch": 0.43, + "learning_rate": 5e-06, + "loss": 0.8875, + "step": 201 + }, + { + "epoch": 0.43, + "learning_rate": 5e-06, + "loss": 0.7767, + "step": 202 + }, + { + "epoch": 0.43, + "learning_rate": 5e-06, + "loss": 0.8299, + "step": 203 + }, + { + "epoch": 0.44, + "learning_rate": 5e-06, + "loss": 0.8233, + "step": 204 + }, + { + "epoch": 0.44, + "learning_rate": 5e-06, + "loss": 0.8327, + "step": 205 + }, + { + "epoch": 0.44, + "learning_rate": 5e-06, + "loss": 0.8867, + "step": 206 + }, + { + "epoch": 0.44, + "learning_rate": 5e-06, + "loss": 0.7686, + "step": 207 + }, + { + "epoch": 0.44, + "learning_rate": 5e-06, + "loss": 0.7699, + "step": 208 + }, + { + "epoch": 0.45, + "learning_rate": 5e-06, + "loss": 0.7803, + "step": 209 + }, + { + "epoch": 0.45, + "learning_rate": 5e-06, + "loss": 0.8683, + "step": 210 + }, + { + "epoch": 0.45, + "learning_rate": 5e-06, + "loss": 0.768, + "step": 211 + }, + { + "epoch": 0.45, + "learning_rate": 5e-06, + "loss": 0.9081, + "step": 212 + }, + { + "epoch": 0.45, + "learning_rate": 5e-06, + "loss": 0.881, + "step": 213 + }, + { + "epoch": 0.46, + "learning_rate": 5e-06, + "loss": 0.8392, + "step": 214 + }, + { + "epoch": 0.46, + "learning_rate": 5e-06, + "loss": 0.8253, + "step": 215 + }, + { + "epoch": 0.46, + "learning_rate": 5e-06, + "loss": 0.7927, + "step": 216 + }, + { + "epoch": 0.46, + "learning_rate": 5e-06, + "loss": 0.7847, + "step": 217 + }, + { + "epoch": 0.47, + "learning_rate": 5e-06, + "loss": 0.7971, + "step": 218 + }, + { + "epoch": 0.47, + "learning_rate": 5e-06, + "loss": 0.7791, + "step": 219 + }, + { + "epoch": 0.47, + "learning_rate": 5e-06, + "loss": 0.9004, + "step": 220 + }, + { + "epoch": 0.47, + "learning_rate": 5e-06, + "loss": 0.7701, + "step": 221 + }, + { + "epoch": 0.47, + "learning_rate": 5e-06, + "loss": 0.851, + "step": 222 + }, + { + "epoch": 0.48, + "learning_rate": 5e-06, + "loss": 0.8141, + "step": 223 + }, + { + "epoch": 0.48, + "learning_rate": 5e-06, + "loss": 0.8577, + "step": 224 + }, + { + "epoch": 0.48, + "learning_rate": 5e-06, + "loss": 0.8316, + "step": 225 + }, + { + "epoch": 0.48, + "learning_rate": 5e-06, + "loss": 0.8024, + "step": 226 + }, + { + "epoch": 0.48, + "learning_rate": 5e-06, + "loss": 0.8621, + "step": 227 + }, + { + "epoch": 0.49, + "learning_rate": 5e-06, + "loss": 0.8171, + "step": 228 + }, + { + "epoch": 0.49, + "learning_rate": 5e-06, + "loss": 0.9156, + "step": 229 + }, + { + "epoch": 0.49, + "learning_rate": 5e-06, + "loss": 0.7921, + "step": 230 + }, + { + "epoch": 0.49, + "learning_rate": 5e-06, + "loss": 0.8667, + "step": 231 + }, + { + "epoch": 0.49, + "learning_rate": 5e-06, + "loss": 0.7824, + "step": 232 + }, + { + "epoch": 0.5, + "learning_rate": 5e-06, + "loss": 0.7559, + "step": 233 + }, + { + "epoch": 0.5, + "learning_rate": 5e-06, + "loss": 0.8283, + "step": 234 + }, + { + "epoch": 0.5, + "learning_rate": 5e-06, + "loss": 0.8411, + "step": 235 + }, + { + "epoch": 0.5, + "learning_rate": 5e-06, + "loss": 0.7826, + "step": 236 + }, + { + "epoch": 0.51, + "learning_rate": 5e-06, + "loss": 0.7758, + "step": 237 + }, + { + "epoch": 0.51, + "learning_rate": 5e-06, + "loss": 0.7793, + "step": 238 + }, + { + "epoch": 0.51, + "learning_rate": 5e-06, + "loss": 0.821, + "step": 239 + }, + { + "epoch": 0.51, + "learning_rate": 5e-06, + "loss": 0.8918, + "step": 240 + }, + { + "epoch": 0.51, + "learning_rate": 5e-06, + "loss": 0.7602, + "step": 241 + }, + { + "epoch": 0.52, + "learning_rate": 5e-06, + "loss": 0.7801, + "step": 242 + }, + { + "epoch": 0.52, + "learning_rate": 5e-06, + "loss": 0.8424, + "step": 243 + }, + { + "epoch": 0.52, + "learning_rate": 5e-06, + "loss": 0.8459, + "step": 244 + }, + { + "epoch": 0.52, + "learning_rate": 5e-06, + "loss": 0.8942, + "step": 245 + }, + { + "epoch": 0.52, + "learning_rate": 5e-06, + "loss": 0.8498, + "step": 246 + }, + { + "epoch": 0.53, + "learning_rate": 5e-06, + "loss": 0.8518, + "step": 247 + }, + { + "epoch": 0.53, + "learning_rate": 5e-06, + "loss": 0.8608, + "step": 248 + }, + { + "epoch": 0.53, + "learning_rate": 5e-06, + "loss": 0.7739, + "step": 249 + }, + { + "epoch": 0.53, + "learning_rate": 5e-06, + "loss": 0.801, + "step": 250 + }, + { + "epoch": 0.54, + "learning_rate": 5e-06, + "loss": 0.7802, + "step": 251 + }, + { + "epoch": 0.54, + "learning_rate": 5e-06, + "loss": 0.8428, + "step": 252 + }, + { + "epoch": 0.54, + "learning_rate": 5e-06, + "loss": 0.8491, + "step": 253 + }, + { + "epoch": 0.54, + "learning_rate": 5e-06, + "loss": 0.8621, + "step": 254 + }, + { + "epoch": 0.54, + "learning_rate": 5e-06, + "loss": 0.8286, + "step": 255 + }, + { + "epoch": 0.55, + "learning_rate": 5e-06, + "loss": 0.7941, + "step": 256 + }, + { + "epoch": 0.55, + "learning_rate": 5e-06, + "loss": 0.8012, + "step": 257 + }, + { + "epoch": 0.55, + "learning_rate": 5e-06, + "loss": 0.8377, + "step": 258 + }, + { + "epoch": 0.55, + "learning_rate": 5e-06, + "loss": 0.8161, + "step": 259 + }, + { + "epoch": 0.55, + "learning_rate": 5e-06, + "loss": 0.8678, + "step": 260 + }, + { + "epoch": 0.56, + "learning_rate": 5e-06, + "loss": 0.8201, + "step": 261 + }, + { + "epoch": 0.56, + "learning_rate": 5e-06, + "loss": 0.7687, + "step": 262 + }, + { + "epoch": 0.56, + "learning_rate": 5e-06, + "loss": 0.8941, + "step": 263 + }, + { + "epoch": 0.56, + "learning_rate": 5e-06, + "loss": 0.8022, + "step": 264 + }, + { + "epoch": 0.57, + "learning_rate": 5e-06, + "loss": 0.7848, + "step": 265 + }, + { + "epoch": 0.57, + "learning_rate": 5e-06, + "loss": 0.7773, + "step": 266 + }, + { + "epoch": 0.57, + "learning_rate": 5e-06, + "loss": 0.7948, + "step": 267 + }, + { + "epoch": 0.57, + "learning_rate": 5e-06, + "loss": 0.7199, + "step": 268 + }, + { + "epoch": 0.57, + "learning_rate": 5e-06, + "loss": 0.749, + "step": 269 + }, + { + "epoch": 0.58, + "learning_rate": 5e-06, + "loss": 0.7476, + "step": 270 + }, + { + "epoch": 0.58, + "learning_rate": 5e-06, + "loss": 0.8641, + "step": 271 + }, + { + "epoch": 0.58, + "learning_rate": 5e-06, + "loss": 0.7909, + "step": 272 + }, + { + "epoch": 0.58, + "learning_rate": 5e-06, + "loss": 0.7109, + "step": 273 + }, + { + "epoch": 0.58, + "learning_rate": 5e-06, + "loss": 0.7805, + "step": 274 + }, + { + "epoch": 0.59, + "learning_rate": 5e-06, + "loss": 0.7702, + "step": 275 + }, + { + "epoch": 0.59, + "learning_rate": 5e-06, + "loss": 0.7731, + "step": 276 + }, + { + "epoch": 0.59, + "learning_rate": 5e-06, + "loss": 0.7864, + "step": 277 + }, + { + "epoch": 0.59, + "learning_rate": 5e-06, + "loss": 0.8503, + "step": 278 + }, + { + "epoch": 0.6, + "learning_rate": 5e-06, + "loss": 0.7806, + "step": 279 + }, + { + "epoch": 0.6, + "learning_rate": 5e-06, + "loss": 0.7456, + "step": 280 + }, + { + "epoch": 0.6, + "learning_rate": 5e-06, + "loss": 0.796, + "step": 281 + }, + { + "epoch": 0.6, + "learning_rate": 5e-06, + "loss": 0.8074, + "step": 282 + }, + { + "epoch": 0.6, + "learning_rate": 5e-06, + "loss": 0.7386, + "step": 283 + }, + { + "epoch": 0.61, + "learning_rate": 5e-06, + "loss": 0.8755, + "step": 284 + }, + { + "epoch": 0.61, + "learning_rate": 5e-06, + "loss": 0.778, + "step": 285 + }, + { + "epoch": 0.61, + "learning_rate": 5e-06, + "loss": 0.8379, + "step": 286 + }, + { + "epoch": 0.61, + "learning_rate": 5e-06, + "loss": 0.8333, + "step": 287 + }, + { + "epoch": 0.61, + "learning_rate": 5e-06, + "loss": 0.8542, + "step": 288 + }, + { + "epoch": 0.62, + "learning_rate": 5e-06, + "loss": 0.8313, + "step": 289 + }, + { + "epoch": 0.62, + "learning_rate": 5e-06, + "loss": 0.8217, + "step": 290 + }, + { + "epoch": 0.62, + "learning_rate": 5e-06, + "loss": 0.7527, + "step": 291 + }, + { + "epoch": 0.62, + "learning_rate": 5e-06, + "loss": 0.8289, + "step": 292 + }, + { + "epoch": 0.63, + "learning_rate": 5e-06, + "loss": 0.8188, + "step": 293 + }, + { + "epoch": 0.63, + "learning_rate": 5e-06, + "loss": 0.788, + "step": 294 + }, + { + "epoch": 0.63, + "learning_rate": 5e-06, + "loss": 0.8625, + "step": 295 + }, + { + "epoch": 0.63, + "learning_rate": 5e-06, + "loss": 0.8349, + "step": 296 + }, + { + "epoch": 0.63, + "learning_rate": 5e-06, + "loss": 0.7633, + "step": 297 + }, + { + "epoch": 0.64, + "learning_rate": 5e-06, + "loss": 0.8316, + "step": 298 + }, + { + "epoch": 0.64, + "learning_rate": 5e-06, + "loss": 0.8268, + "step": 299 + }, + { + "epoch": 0.64, + "learning_rate": 5e-06, + "loss": 0.7911, + "step": 300 + }, + { + "epoch": 0.64, + "learning_rate": 5e-06, + "loss": 0.8755, + "step": 301 + }, + { + "epoch": 0.64, + "learning_rate": 5e-06, + "loss": 0.8246, + "step": 302 + }, + { + "epoch": 0.65, + "learning_rate": 5e-06, + "loss": 0.8712, + "step": 303 + }, + { + "epoch": 0.65, + "learning_rate": 5e-06, + "loss": 0.8298, + "step": 304 + }, + { + "epoch": 0.65, + "learning_rate": 5e-06, + "loss": 0.6828, + "step": 305 + }, + { + "epoch": 0.65, + "learning_rate": 5e-06, + "loss": 0.8095, + "step": 306 + }, + { + "epoch": 0.65, + "learning_rate": 5e-06, + "loss": 0.7864, + "step": 307 + }, + { + "epoch": 0.66, + "learning_rate": 5e-06, + "loss": 0.9315, + "step": 308 + }, + { + "epoch": 0.66, + "learning_rate": 5e-06, + "loss": 0.8837, + "step": 309 + }, + { + "epoch": 0.66, + "learning_rate": 5e-06, + "loss": 0.8142, + "step": 310 + }, + { + "epoch": 0.66, + "learning_rate": 5e-06, + "loss": 0.7912, + "step": 311 + }, + { + "epoch": 0.67, + "learning_rate": 5e-06, + "loss": 0.7876, + "step": 312 + }, + { + "epoch": 0.67, + "learning_rate": 5e-06, + "loss": 0.8222, + "step": 313 + }, + { + "epoch": 0.67, + "learning_rate": 5e-06, + "loss": 0.8174, + "step": 314 + }, + { + "epoch": 0.67, + "learning_rate": 5e-06, + "loss": 0.7928, + "step": 315 + }, + { + "epoch": 0.67, + "learning_rate": 5e-06, + "loss": 0.8431, + "step": 316 + }, + { + "epoch": 0.68, + "learning_rate": 5e-06, + "loss": 0.7816, + "step": 317 + }, + { + "epoch": 0.68, + "learning_rate": 5e-06, + "loss": 0.7582, + "step": 318 + }, + { + "epoch": 0.68, + "learning_rate": 5e-06, + "loss": 0.7574, + "step": 319 + }, + { + "epoch": 0.68, + "learning_rate": 5e-06, + "loss": 0.7906, + "step": 320 + }, + { + "epoch": 0.68, + "learning_rate": 5e-06, + "loss": 0.7769, + "step": 321 + }, + { + "epoch": 0.69, + "learning_rate": 5e-06, + "loss": 0.7402, + "step": 322 + }, + { + "epoch": 0.69, + "learning_rate": 5e-06, + "loss": 0.766, + "step": 323 + }, + { + "epoch": 0.69, + "learning_rate": 5e-06, + "loss": 0.7896, + "step": 324 + }, + { + "epoch": 0.69, + "learning_rate": 5e-06, + "loss": 0.8332, + "step": 325 + }, + { + "epoch": 0.7, + "learning_rate": 5e-06, + "loss": 0.8729, + "step": 326 + }, + { + "epoch": 0.7, + "learning_rate": 5e-06, + "loss": 0.8006, + "step": 327 + }, + { + "epoch": 0.7, + "learning_rate": 5e-06, + "loss": 0.7927, + "step": 328 + }, + { + "epoch": 0.7, + "learning_rate": 5e-06, + "loss": 0.8015, + "step": 329 + }, + { + "epoch": 0.7, + "learning_rate": 5e-06, + "loss": 0.7774, + "step": 330 + }, + { + "epoch": 0.71, + "learning_rate": 5e-06, + "loss": 0.8244, + "step": 331 + }, + { + "epoch": 0.71, + "learning_rate": 5e-06, + "loss": 0.7924, + "step": 332 + }, + { + "epoch": 0.71, + "learning_rate": 5e-06, + "loss": 0.8237, + "step": 333 + }, + { + "epoch": 0.71, + "learning_rate": 5e-06, + "loss": 0.8378, + "step": 334 + }, + { + "epoch": 0.71, + "learning_rate": 5e-06, + "loss": 0.8893, + "step": 335 + }, + { + "epoch": 0.72, + "learning_rate": 5e-06, + "loss": 0.8416, + "step": 336 + }, + { + "epoch": 0.72, + "learning_rate": 5e-06, + "loss": 0.7577, + "step": 337 + }, + { + "epoch": 0.72, + "learning_rate": 5e-06, + "loss": 0.8068, + "step": 338 + }, + { + "epoch": 0.72, + "learning_rate": 5e-06, + "loss": 0.7592, + "step": 339 + }, + { + "epoch": 0.73, + "learning_rate": 5e-06, + "loss": 0.8397, + "step": 340 + }, + { + "epoch": 0.73, + "learning_rate": 5e-06, + "loss": 0.8228, + "step": 341 + }, + { + "epoch": 0.73, + "learning_rate": 5e-06, + "loss": 0.7523, + "step": 342 + }, + { + "epoch": 0.73, + "learning_rate": 5e-06, + "loss": 0.7865, + "step": 343 + }, + { + "epoch": 0.73, + "learning_rate": 5e-06, + "loss": 0.7838, + "step": 344 + }, + { + "epoch": 0.74, + "learning_rate": 5e-06, + "loss": 0.7967, + "step": 345 + }, + { + "epoch": 0.74, + "learning_rate": 5e-06, + "loss": 0.7741, + "step": 346 + }, + { + "epoch": 0.74, + "learning_rate": 5e-06, + "loss": 0.7083, + "step": 347 + }, + { + "epoch": 0.74, + "learning_rate": 5e-06, + "loss": 0.7266, + "step": 348 + }, + { + "epoch": 0.74, + "learning_rate": 5e-06, + "loss": 0.7531, + "step": 349 + }, + { + "epoch": 0.75, + "learning_rate": 5e-06, + "loss": 0.7957, + "step": 350 + }, + { + "epoch": 0.75, + "learning_rate": 5e-06, + "loss": 0.7978, + "step": 351 + }, + { + "epoch": 0.75, + "learning_rate": 5e-06, + "loss": 0.8337, + "step": 352 + }, + { + "epoch": 0.75, + "learning_rate": 5e-06, + "loss": 0.8267, + "step": 353 + }, + { + "epoch": 0.76, + "learning_rate": 5e-06, + "loss": 0.8636, + "step": 354 + }, + { + "epoch": 0.76, + "learning_rate": 5e-06, + "loss": 0.8135, + "step": 355 + }, + { + "epoch": 0.76, + "learning_rate": 5e-06, + "loss": 0.7759, + "step": 356 + }, + { + "epoch": 0.76, + "learning_rate": 5e-06, + "loss": 0.8248, + "step": 357 + }, + { + "epoch": 0.76, + "learning_rate": 5e-06, + "loss": 0.7732, + "step": 358 + }, + { + "epoch": 0.77, + "learning_rate": 5e-06, + "loss": 0.8346, + "step": 359 + }, + { + "epoch": 0.77, + "learning_rate": 5e-06, + "loss": 0.7553, + "step": 360 + }, + { + "epoch": 0.77, + "learning_rate": 5e-06, + "loss": 0.846, + "step": 361 + }, + { + "epoch": 0.77, + "learning_rate": 5e-06, + "loss": 0.8738, + "step": 362 + }, + { + "epoch": 0.77, + "learning_rate": 5e-06, + "loss": 0.8929, + "step": 363 + }, + { + "epoch": 0.78, + "learning_rate": 5e-06, + "loss": 0.7838, + "step": 364 + }, + { + "epoch": 0.78, + "learning_rate": 5e-06, + "loss": 0.7575, + "step": 365 + }, + { + "epoch": 0.78, + "learning_rate": 5e-06, + "loss": 0.8056, + "step": 366 + }, + { + "epoch": 0.78, + "learning_rate": 5e-06, + "loss": 0.7482, + "step": 367 + }, + { + "epoch": 0.79, + "learning_rate": 5e-06, + "loss": 0.8213, + "step": 368 + }, + { + "epoch": 0.79, + "learning_rate": 5e-06, + "loss": 0.7903, + "step": 369 + }, + { + "epoch": 0.79, + "learning_rate": 5e-06, + "loss": 0.753, + "step": 370 + }, + { + "epoch": 0.79, + "learning_rate": 5e-06, + "loss": 0.7563, + "step": 371 + }, + { + "epoch": 0.79, + "learning_rate": 5e-06, + "loss": 0.7936, + "step": 372 + }, + { + "epoch": 0.8, + "learning_rate": 5e-06, + "loss": 0.8055, + "step": 373 + }, + { + "epoch": 0.8, + "learning_rate": 5e-06, + "loss": 0.8705, + "step": 374 + }, + { + "epoch": 0.8, + "learning_rate": 5e-06, + "loss": 0.8474, + "step": 375 + }, + { + "epoch": 0.8, + "learning_rate": 5e-06, + "loss": 0.8214, + "step": 376 + }, + { + "epoch": 0.8, + "learning_rate": 5e-06, + "loss": 0.7324, + "step": 377 + }, + { + "epoch": 0.81, + "learning_rate": 5e-06, + "loss": 0.8092, + "step": 378 + }, + { + "epoch": 0.81, + "learning_rate": 5e-06, + "loss": 0.8466, + "step": 379 + }, + { + "epoch": 0.81, + "learning_rate": 5e-06, + "loss": 0.7637, + "step": 380 + }, + { + "epoch": 0.81, + "learning_rate": 5e-06, + "loss": 0.7973, + "step": 381 + }, + { + "epoch": 0.81, + "learning_rate": 5e-06, + "loss": 0.744, + "step": 382 + }, + { + "epoch": 0.82, + "learning_rate": 5e-06, + "loss": 0.7448, + "step": 383 + }, + { + "epoch": 0.82, + "learning_rate": 5e-06, + "loss": 0.8724, + "step": 384 + }, + { + "epoch": 0.82, + "learning_rate": 5e-06, + "loss": 0.7428, + "step": 385 + }, + { + "epoch": 0.82, + "learning_rate": 5e-06, + "loss": 0.785, + "step": 386 + }, + { + "epoch": 0.83, + "learning_rate": 5e-06, + "loss": 0.8281, + "step": 387 + }, + { + "epoch": 0.83, + "learning_rate": 5e-06, + "loss": 0.7321, + "step": 388 + }, + { + "epoch": 0.83, + "learning_rate": 5e-06, + "loss": 0.8579, + "step": 389 + }, + { + "epoch": 0.83, + "learning_rate": 5e-06, + "loss": 0.7277, + "step": 390 + }, + { + "epoch": 0.83, + "learning_rate": 5e-06, + "loss": 0.8282, + "step": 391 + }, + { + "epoch": 0.84, + "learning_rate": 5e-06, + "loss": 0.768, + "step": 392 + }, + { + "epoch": 0.84, + "learning_rate": 5e-06, + "loss": 0.7111, + "step": 393 + }, + { + "epoch": 0.84, + "learning_rate": 5e-06, + "loss": 0.6998, + "step": 394 + }, + { + "epoch": 0.84, + "learning_rate": 5e-06, + "loss": 0.7843, + "step": 395 + }, + { + "epoch": 0.84, + "learning_rate": 5e-06, + "loss": 0.8226, + "step": 396 + }, + { + "epoch": 0.85, + "learning_rate": 5e-06, + "loss": 0.7771, + "step": 397 + }, + { + "epoch": 0.85, + "learning_rate": 5e-06, + "loss": 0.8156, + "step": 398 + }, + { + "epoch": 0.85, + "learning_rate": 5e-06, + "loss": 0.8372, + "step": 399 + }, + { + "epoch": 0.85, + "learning_rate": 5e-06, + "loss": 0.7327, + "step": 400 + }, + { + "epoch": 0.86, + "learning_rate": 5e-06, + "loss": 0.7285, + "step": 401 + }, + { + "epoch": 0.86, + "learning_rate": 5e-06, + "loss": 0.8282, + "step": 402 + }, + { + "epoch": 0.86, + "learning_rate": 5e-06, + "loss": 0.7456, + "step": 403 + }, + { + "epoch": 0.86, + "learning_rate": 5e-06, + "loss": 0.8208, + "step": 404 + }, + { + "epoch": 0.86, + "learning_rate": 5e-06, + "loss": 0.7944, + "step": 405 + }, + { + "epoch": 0.87, + "learning_rate": 5e-06, + "loss": 0.8016, + "step": 406 + }, + { + "epoch": 0.87, + "learning_rate": 5e-06, + "loss": 0.8129, + "step": 407 + }, + { + "epoch": 0.87, + "learning_rate": 5e-06, + "loss": 0.836, + "step": 408 + }, + { + "epoch": 0.87, + "learning_rate": 5e-06, + "loss": 0.7911, + "step": 409 + }, + { + "epoch": 0.87, + "learning_rate": 5e-06, + "loss": 0.7055, + "step": 410 + }, + { + "epoch": 0.88, + "learning_rate": 5e-06, + "loss": 0.7654, + "step": 411 + }, + { + "epoch": 0.88, + "learning_rate": 5e-06, + "loss": 0.8321, + "step": 412 + }, + { + "epoch": 0.88, + "learning_rate": 5e-06, + "loss": 0.7992, + "step": 413 + }, + { + "epoch": 0.88, + "learning_rate": 5e-06, + "loss": 0.7052, + "step": 414 + }, + { + "epoch": 0.89, + "learning_rate": 5e-06, + "loss": 0.7529, + "step": 415 + }, + { + "epoch": 0.89, + "learning_rate": 5e-06, + "loss": 0.8075, + "step": 416 + }, + { + "epoch": 0.89, + "learning_rate": 5e-06, + "loss": 0.7658, + "step": 417 + }, + { + "epoch": 0.89, + "learning_rate": 5e-06, + "loss": 0.7378, + "step": 418 + }, + { + "epoch": 0.89, + "learning_rate": 5e-06, + "loss": 0.8025, + "step": 419 + }, + { + "epoch": 0.9, + "learning_rate": 5e-06, + "loss": 0.7537, + "step": 420 + }, + { + "epoch": 0.9, + "learning_rate": 5e-06, + "loss": 0.7587, + "step": 421 + }, + { + "epoch": 0.9, + "learning_rate": 5e-06, + "loss": 0.6687, + "step": 422 + }, + { + "epoch": 0.9, + "learning_rate": 5e-06, + "loss": 0.8163, + "step": 423 + }, + { + "epoch": 0.9, + "learning_rate": 5e-06, + "loss": 0.8552, + "step": 424 + }, + { + "epoch": 0.91, + "learning_rate": 5e-06, + "loss": 0.8588, + "step": 425 + }, + { + "epoch": 0.91, + "learning_rate": 5e-06, + "loss": 0.7736, + "step": 426 + }, + { + "epoch": 0.91, + "learning_rate": 5e-06, + "loss": 0.7352, + "step": 427 + }, + { + "epoch": 0.91, + "learning_rate": 5e-06, + "loss": 0.8178, + "step": 428 + }, + { + "epoch": 0.92, + "learning_rate": 5e-06, + "loss": 0.7304, + "step": 429 + }, + { + "epoch": 0.92, + "learning_rate": 5e-06, + "loss": 0.7813, + "step": 430 + }, + { + "epoch": 0.92, + "learning_rate": 5e-06, + "loss": 0.7663, + "step": 431 + }, + { + "epoch": 0.92, + "learning_rate": 5e-06, + "loss": 0.7887, + "step": 432 + }, + { + "epoch": 0.92, + "learning_rate": 5e-06, + "loss": 0.7523, + "step": 433 + }, + { + "epoch": 0.93, + "learning_rate": 5e-06, + "loss": 0.8281, + "step": 434 + }, + { + "epoch": 0.93, + "learning_rate": 5e-06, + "loss": 0.7809, + "step": 435 + }, + { + "epoch": 0.93, + "learning_rate": 5e-06, + "loss": 0.7834, + "step": 436 + }, + { + "epoch": 0.93, + "learning_rate": 5e-06, + "loss": 0.6889, + "step": 437 + }, + { + "epoch": 0.93, + "learning_rate": 5e-06, + "loss": 0.7652, + "step": 438 + }, + { + "epoch": 0.94, + "learning_rate": 5e-06, + "loss": 0.7642, + "step": 439 + }, + { + "epoch": 0.94, + "learning_rate": 5e-06, + "loss": 0.7627, + "step": 440 + }, + { + "epoch": 0.94, + "learning_rate": 5e-06, + "loss": 0.7787, + "step": 441 + }, + { + "epoch": 0.94, + "learning_rate": 5e-06, + "loss": 0.7556, + "step": 442 + }, + { + "epoch": 0.95, + "learning_rate": 5e-06, + "loss": 0.8139, + "step": 443 + }, + { + "epoch": 0.95, + "learning_rate": 5e-06, + "loss": 0.8316, + "step": 444 + }, + { + "epoch": 0.95, + "learning_rate": 5e-06, + "loss": 0.8217, + "step": 445 + }, + { + "epoch": 0.95, + "learning_rate": 5e-06, + "loss": 0.8204, + "step": 446 + }, + { + "epoch": 0.95, + "learning_rate": 5e-06, + "loss": 0.7111, + "step": 447 + }, + { + "epoch": 0.96, + "learning_rate": 5e-06, + "loss": 0.7921, + "step": 448 + }, + { + "epoch": 0.96, + "learning_rate": 5e-06, + "loss": 0.8636, + "step": 449 + }, + { + "epoch": 0.96, + "learning_rate": 5e-06, + "loss": 0.8228, + "step": 450 + }, + { + "epoch": 0.96, + "learning_rate": 5e-06, + "loss": 0.7645, + "step": 451 + }, + { + "epoch": 0.96, + "learning_rate": 5e-06, + "loss": 0.8344, + "step": 452 + }, + { + "epoch": 0.97, + "learning_rate": 5e-06, + "loss": 0.7324, + "step": 453 + }, + { + "epoch": 0.97, + "learning_rate": 5e-06, + "loss": 0.7615, + "step": 454 + }, + { + "epoch": 0.97, + "learning_rate": 5e-06, + "loss": 0.7093, + "step": 455 + }, + { + "epoch": 0.97, + "learning_rate": 5e-06, + "loss": 0.8116, + "step": 456 + }, + { + "epoch": 0.97, + "learning_rate": 5e-06, + "loss": 0.8422, + "step": 457 + }, + { + "epoch": 0.98, + "learning_rate": 5e-06, + "loss": 0.869, + "step": 458 + }, + { + "epoch": 0.98, + "learning_rate": 5e-06, + "loss": 0.8294, + "step": 459 + }, + { + "epoch": 0.98, + "learning_rate": 5e-06, + "loss": 0.8462, + "step": 460 + }, + { + "epoch": 0.98, + "learning_rate": 5e-06, + "loss": 0.8183, + "step": 461 + }, + { + "epoch": 0.99, + "learning_rate": 5e-06, + "loss": 0.7341, + "step": 462 + }, + { + "epoch": 0.99, + "learning_rate": 5e-06, + "loss": 0.8502, + "step": 463 + }, + { + "epoch": 0.99, + "learning_rate": 5e-06, + "loss": 0.7854, + "step": 464 + }, + { + "epoch": 0.99, + "learning_rate": 5e-06, + "loss": 0.8084, + "step": 465 + }, + { + "epoch": 0.99, + "learning_rate": 5e-06, + "loss": 0.8429, + "step": 466 + }, + { + "epoch": 1.0, + "learning_rate": 5e-06, + "loss": 0.7495, + "step": 467 + }, + { + "epoch": 1.0, + "learning_rate": 5e-06, + "loss": 0.8141, + "step": 468 + }, + { + "epoch": 1.0, + "learning_rate": 5e-06, + "loss": 0.7564, + "step": 469 + }, + { + "epoch": 1.0, + "learning_rate": 5e-06, + "loss": 0.7033, + "step": 470 + }, + { + "epoch": 1.0, + "learning_rate": 5e-06, + "loss": 0.6497, + "step": 471 + }, + { + "epoch": 1.01, + "learning_rate": 5e-06, + "loss": 0.6674, + "step": 472 + }, + { + "epoch": 1.01, + "learning_rate": 5e-06, + "loss": 0.7164, + "step": 473 + }, + { + "epoch": 1.01, + "learning_rate": 5e-06, + "loss": 0.6981, + "step": 474 + }, + { + "epoch": 1.01, + "learning_rate": 5e-06, + "loss": 0.7134, + "step": 475 + }, + { + "epoch": 1.02, + "learning_rate": 5e-06, + "loss": 0.7195, + "step": 476 + }, + { + "epoch": 1.02, + "learning_rate": 5e-06, + "loss": 0.6963, + "step": 477 + }, + { + "epoch": 1.02, + "learning_rate": 5e-06, + "loss": 0.6705, + "step": 478 + }, + { + "epoch": 1.02, + "learning_rate": 5e-06, + "loss": 0.7127, + "step": 479 + }, + { + "epoch": 1.02, + "learning_rate": 5e-06, + "loss": 0.6365, + "step": 480 + }, + { + "epoch": 1.03, + "learning_rate": 5e-06, + "loss": 0.6688, + "step": 481 + }, + { + "epoch": 1.03, + "learning_rate": 5e-06, + "loss": 0.6255, + "step": 482 + }, + { + "epoch": 1.03, + "learning_rate": 5e-06, + "loss": 0.6971, + "step": 483 + }, + { + "epoch": 1.03, + "learning_rate": 5e-06, + "loss": 0.6423, + "step": 484 + }, + { + "epoch": 1.03, + "learning_rate": 5e-06, + "loss": 0.6201, + "step": 485 + }, + { + "epoch": 1.04, + "learning_rate": 5e-06, + "loss": 0.6894, + "step": 486 + }, + { + "epoch": 1.04, + "learning_rate": 5e-06, + "loss": 0.7204, + "step": 487 + }, + { + "epoch": 1.04, + "learning_rate": 5e-06, + "loss": 0.6654, + "step": 488 + }, + { + "epoch": 1.04, + "learning_rate": 5e-06, + "loss": 0.5703, + "step": 489 + }, + { + "epoch": 1.05, + "learning_rate": 5e-06, + "loss": 0.6826, + "step": 490 + }, + { + "epoch": 1.05, + "learning_rate": 5e-06, + "loss": 0.6701, + "step": 491 + }, + { + "epoch": 1.05, + "learning_rate": 5e-06, + "loss": 0.6855, + "step": 492 + }, + { + "epoch": 1.05, + "learning_rate": 5e-06, + "loss": 0.7323, + "step": 493 + }, + { + "epoch": 1.05, + "learning_rate": 5e-06, + "loss": 0.6687, + "step": 494 + }, + { + "epoch": 1.06, + "learning_rate": 5e-06, + "loss": 0.7448, + "step": 495 + }, + { + "epoch": 1.06, + "learning_rate": 5e-06, + "loss": 0.6393, + "step": 496 + }, + { + "epoch": 1.06, + "learning_rate": 5e-06, + "loss": 0.6808, + "step": 497 + }, + { + "epoch": 1.06, + "learning_rate": 5e-06, + "loss": 0.641, + "step": 498 + }, + { + "epoch": 1.06, + "learning_rate": 5e-06, + "loss": 0.6673, + "step": 499 + }, + { + "epoch": 1.07, + "learning_rate": 5e-06, + "loss": 0.7313, + "step": 500 + }, + { + "epoch": 1.07, + "learning_rate": 5e-06, + "loss": 0.6547, + "step": 501 + }, + { + "epoch": 1.07, + "learning_rate": 5e-06, + "loss": 0.655, + "step": 502 + }, + { + "epoch": 1.07, + "learning_rate": 5e-06, + "loss": 0.5551, + "step": 503 + }, + { + "epoch": 1.08, + "learning_rate": 5e-06, + "loss": 0.6753, + "step": 504 + }, + { + "epoch": 1.08, + "learning_rate": 5e-06, + "loss": 0.7242, + "step": 505 + }, + { + "epoch": 1.08, + "learning_rate": 5e-06, + "loss": 0.6142, + "step": 506 + }, + { + "epoch": 1.08, + "learning_rate": 5e-06, + "loss": 0.648, + "step": 507 + }, + { + "epoch": 1.08, + "learning_rate": 5e-06, + "loss": 0.6885, + "step": 508 + }, + { + "epoch": 1.09, + "learning_rate": 5e-06, + "loss": 0.7129, + "step": 509 + }, + { + "epoch": 1.09, + "learning_rate": 5e-06, + "loss": 0.6982, + "step": 510 + }, + { + "epoch": 1.09, + "learning_rate": 5e-06, + "loss": 0.6454, + "step": 511 + }, + { + "epoch": 1.09, + "learning_rate": 5e-06, + "loss": 0.6995, + "step": 512 + }, + { + "epoch": 1.09, + "learning_rate": 5e-06, + "loss": 0.7527, + "step": 513 + }, + { + "epoch": 1.1, + "learning_rate": 5e-06, + "loss": 0.6924, + "step": 514 + }, + { + "epoch": 1.1, + "learning_rate": 5e-06, + "loss": 0.6735, + "step": 515 + }, + { + "epoch": 1.1, + "learning_rate": 5e-06, + "loss": 0.6562, + "step": 516 + }, + { + "epoch": 1.1, + "learning_rate": 5e-06, + "loss": 0.6838, + "step": 517 + }, + { + "epoch": 1.11, + "learning_rate": 5e-06, + "loss": 0.6035, + "step": 518 + }, + { + "epoch": 1.11, + "learning_rate": 5e-06, + "loss": 0.6733, + "step": 519 + }, + { + "epoch": 1.11, + "learning_rate": 5e-06, + "loss": 0.6837, + "step": 520 + }, + { + "epoch": 1.11, + "learning_rate": 5e-06, + "loss": 0.6671, + "step": 521 + }, + { + "epoch": 1.11, + "learning_rate": 5e-06, + "loss": 0.6022, + "step": 522 + }, + { + "epoch": 1.12, + "learning_rate": 5e-06, + "loss": 0.667, + "step": 523 + }, + { + "epoch": 1.12, + "learning_rate": 5e-06, + "loss": 0.6588, + "step": 524 + }, + { + "epoch": 1.12, + "learning_rate": 5e-06, + "loss": 0.7055, + "step": 525 + }, + { + "epoch": 1.12, + "learning_rate": 5e-06, + "loss": 0.6032, + "step": 526 + }, + { + "epoch": 1.12, + "learning_rate": 5e-06, + "loss": 0.6499, + "step": 527 + }, + { + "epoch": 1.13, + "learning_rate": 5e-06, + "loss": 0.7225, + "step": 528 + }, + { + "epoch": 1.13, + "learning_rate": 5e-06, + "loss": 0.6977, + "step": 529 + }, + { + "epoch": 1.13, + "learning_rate": 5e-06, + "loss": 0.6654, + "step": 530 + }, + { + "epoch": 1.13, + "learning_rate": 5e-06, + "loss": 0.6506, + "step": 531 + }, + { + "epoch": 1.13, + "learning_rate": 5e-06, + "loss": 0.6521, + "step": 532 + }, + { + "epoch": 1.14, + "learning_rate": 5e-06, + "loss": 0.6549, + "step": 533 + }, + { + "epoch": 1.14, + "learning_rate": 5e-06, + "loss": 0.69, + "step": 534 + }, + { + "epoch": 1.14, + "learning_rate": 5e-06, + "loss": 0.5976, + "step": 535 + }, + { + "epoch": 1.14, + "learning_rate": 5e-06, + "loss": 0.6404, + "step": 536 + }, + { + "epoch": 1.15, + "learning_rate": 5e-06, + "loss": 0.62, + "step": 537 + }, + { + "epoch": 1.15, + "learning_rate": 5e-06, + "loss": 0.6177, + "step": 538 + }, + { + "epoch": 1.15, + "learning_rate": 5e-06, + "loss": 0.6351, + "step": 539 + }, + { + "epoch": 1.15, + "learning_rate": 5e-06, + "loss": 0.6842, + "step": 540 + }, + { + "epoch": 1.15, + "learning_rate": 5e-06, + "loss": 0.6395, + "step": 541 + }, + { + "epoch": 1.16, + "learning_rate": 5e-06, + "loss": 0.6735, + "step": 542 + }, + { + "epoch": 1.16, + "learning_rate": 5e-06, + "loss": 0.6535, + "step": 543 + }, + { + "epoch": 1.16, + "learning_rate": 5e-06, + "loss": 0.6653, + "step": 544 + }, + { + "epoch": 1.16, + "learning_rate": 5e-06, + "loss": 0.6591, + "step": 545 + }, + { + "epoch": 1.16, + "learning_rate": 5e-06, + "loss": 0.6358, + "step": 546 + }, + { + "epoch": 1.17, + "learning_rate": 5e-06, + "loss": 0.6487, + "step": 547 + }, + { + "epoch": 1.17, + "learning_rate": 5e-06, + "loss": 0.6429, + "step": 548 + }, + { + "epoch": 1.17, + "learning_rate": 5e-06, + "loss": 0.6356, + "step": 549 + }, + { + "epoch": 1.17, + "learning_rate": 5e-06, + "loss": 0.6677, + "step": 550 + }, + { + "epoch": 1.18, + "learning_rate": 5e-06, + "loss": 0.5777, + "step": 551 + }, + { + "epoch": 1.18, + "learning_rate": 5e-06, + "loss": 0.7143, + "step": 552 + }, + { + "epoch": 1.18, + "learning_rate": 5e-06, + "loss": 0.6865, + "step": 553 + }, + { + "epoch": 1.18, + "learning_rate": 5e-06, + "loss": 0.5947, + "step": 554 + }, + { + "epoch": 1.18, + "learning_rate": 5e-06, + "loss": 0.6978, + "step": 555 + }, + { + "epoch": 1.19, + "learning_rate": 5e-06, + "loss": 0.6896, + "step": 556 + }, + { + "epoch": 1.19, + "learning_rate": 5e-06, + "loss": 0.6635, + "step": 557 + }, + { + "epoch": 1.19, + "learning_rate": 5e-06, + "loss": 0.6268, + "step": 558 + }, + { + "epoch": 1.19, + "learning_rate": 5e-06, + "loss": 0.6805, + "step": 559 + }, + { + "epoch": 1.19, + "learning_rate": 5e-06, + "loss": 0.6478, + "step": 560 + }, + { + "epoch": 1.2, + "learning_rate": 5e-06, + "loss": 0.6484, + "step": 561 + }, + { + "epoch": 1.2, + "learning_rate": 5e-06, + "loss": 0.7277, + "step": 562 + }, + { + "epoch": 1.2, + "learning_rate": 5e-06, + "loss": 0.6331, + "step": 563 + }, + { + "epoch": 1.2, + "learning_rate": 5e-06, + "loss": 0.697, + "step": 564 + }, + { + "epoch": 1.21, + "learning_rate": 5e-06, + "loss": 0.642, + "step": 565 + }, + { + "epoch": 1.21, + "learning_rate": 5e-06, + "loss": 0.6726, + "step": 566 + }, + { + "epoch": 1.21, + "learning_rate": 5e-06, + "loss": 0.6104, + "step": 567 + }, + { + "epoch": 1.21, + "learning_rate": 5e-06, + "loss": 0.6138, + "step": 568 + }, + { + "epoch": 1.21, + "learning_rate": 5e-06, + "loss": 0.6973, + "step": 569 + }, + { + "epoch": 1.22, + "learning_rate": 5e-06, + "loss": 0.7026, + "step": 570 + }, + { + "epoch": 1.22, + "learning_rate": 5e-06, + "loss": 0.6633, + "step": 571 + }, + { + "epoch": 1.22, + "learning_rate": 5e-06, + "loss": 0.6828, + "step": 572 + }, + { + "epoch": 1.22, + "learning_rate": 5e-06, + "loss": 0.681, + "step": 573 + }, + { + "epoch": 1.22, + "learning_rate": 5e-06, + "loss": 0.6458, + "step": 574 + }, + { + "epoch": 1.23, + "learning_rate": 5e-06, + "loss": 0.6628, + "step": 575 + }, + { + "epoch": 1.23, + "learning_rate": 5e-06, + "loss": 0.6173, + "step": 576 + }, + { + "epoch": 1.23, + "learning_rate": 5e-06, + "loss": 0.6867, + "step": 577 + }, + { + "epoch": 1.23, + "learning_rate": 5e-06, + "loss": 0.716, + "step": 578 + }, + { + "epoch": 1.24, + "learning_rate": 5e-06, + "loss": 0.6416, + "step": 579 + }, + { + "epoch": 1.24, + "learning_rate": 5e-06, + "loss": 0.6347, + "step": 580 + }, + { + "epoch": 1.24, + "learning_rate": 5e-06, + "loss": 0.6404, + "step": 581 + }, + { + "epoch": 1.24, + "learning_rate": 5e-06, + "loss": 0.56, + "step": 582 + }, + { + "epoch": 1.24, + "learning_rate": 5e-06, + "loss": 0.6515, + "step": 583 + }, + { + "epoch": 1.25, + "learning_rate": 5e-06, + "loss": 0.5962, + "step": 584 + }, + { + "epoch": 1.25, + "learning_rate": 5e-06, + "loss": 0.6112, + "step": 585 + }, + { + "epoch": 1.25, + "learning_rate": 5e-06, + "loss": 0.6787, + "step": 586 + }, + { + "epoch": 1.25, + "learning_rate": 5e-06, + "loss": 0.6346, + "step": 587 + }, + { + "epoch": 1.25, + "learning_rate": 5e-06, + "loss": 0.6425, + "step": 588 + }, + { + "epoch": 1.26, + "learning_rate": 5e-06, + "loss": 0.606, + "step": 589 + }, + { + "epoch": 1.26, + "learning_rate": 5e-06, + "loss": 0.6786, + "step": 590 + }, + { + "epoch": 1.26, + "learning_rate": 5e-06, + "loss": 0.6199, + "step": 591 + }, + { + "epoch": 1.26, + "learning_rate": 5e-06, + "loss": 0.6363, + "step": 592 + }, + { + "epoch": 1.27, + "learning_rate": 5e-06, + "loss": 0.6251, + "step": 593 + }, + { + "epoch": 1.27, + "learning_rate": 5e-06, + "loss": 0.7168, + "step": 594 + }, + { + "epoch": 1.27, + "learning_rate": 5e-06, + "loss": 0.6583, + "step": 595 + }, + { + "epoch": 1.27, + "learning_rate": 5e-06, + "loss": 0.6378, + "step": 596 + }, + { + "epoch": 1.27, + "learning_rate": 5e-06, + "loss": 0.6597, + "step": 597 + }, + { + "epoch": 1.28, + "learning_rate": 5e-06, + "loss": 0.6476, + "step": 598 + }, + { + "epoch": 1.28, + "learning_rate": 5e-06, + "loss": 0.6476, + "step": 599 + }, + { + "epoch": 1.28, + "learning_rate": 5e-06, + "loss": 0.6243, + "step": 600 + }, + { + "epoch": 1.28, + "learning_rate": 5e-06, + "loss": 0.6337, + "step": 601 + }, + { + "epoch": 1.28, + "learning_rate": 5e-06, + "loss": 0.6993, + "step": 602 + }, + { + "epoch": 1.29, + "learning_rate": 5e-06, + "loss": 0.7012, + "step": 603 + }, + { + "epoch": 1.29, + "learning_rate": 5e-06, + "loss": 0.7175, + "step": 604 + }, + { + "epoch": 1.29, + "learning_rate": 5e-06, + "loss": 0.6601, + "step": 605 + }, + { + "epoch": 1.29, + "learning_rate": 5e-06, + "loss": 0.682, + "step": 606 + }, + { + "epoch": 1.29, + "learning_rate": 5e-06, + "loss": 0.7013, + "step": 607 + }, + { + "epoch": 1.3, + "learning_rate": 5e-06, + "loss": 0.5771, + "step": 608 + }, + { + "epoch": 1.3, + "learning_rate": 5e-06, + "loss": 0.6549, + "step": 609 + }, + { + "epoch": 1.3, + "learning_rate": 5e-06, + "loss": 0.6877, + "step": 610 + }, + { + "epoch": 1.3, + "learning_rate": 5e-06, + "loss": 0.6741, + "step": 611 + }, + { + "epoch": 1.31, + "learning_rate": 5e-06, + "loss": 0.6715, + "step": 612 + }, + { + "epoch": 1.31, + "learning_rate": 5e-06, + "loss": 0.6248, + "step": 613 + }, + { + "epoch": 1.31, + "learning_rate": 5e-06, + "loss": 0.7372, + "step": 614 + }, + { + "epoch": 1.31, + "learning_rate": 5e-06, + "loss": 0.6817, + "step": 615 + }, + { + "epoch": 1.31, + "learning_rate": 5e-06, + "loss": 0.6559, + "step": 616 + }, + { + "epoch": 1.32, + "learning_rate": 5e-06, + "loss": 0.6401, + "step": 617 + }, + { + "epoch": 1.32, + "learning_rate": 5e-06, + "loss": 0.619, + "step": 618 + }, + { + "epoch": 1.32, + "learning_rate": 5e-06, + "loss": 0.6453, + "step": 619 + }, + { + "epoch": 1.32, + "learning_rate": 5e-06, + "loss": 0.6353, + "step": 620 + }, + { + "epoch": 1.32, + "learning_rate": 5e-06, + "loss": 0.608, + "step": 621 + }, + { + "epoch": 1.33, + "learning_rate": 5e-06, + "loss": 0.6197, + "step": 622 + }, + { + "epoch": 1.33, + "learning_rate": 5e-06, + "loss": 0.6352, + "step": 623 + }, + { + "epoch": 1.33, + "learning_rate": 5e-06, + "loss": 0.6752, + "step": 624 + }, + { + "epoch": 1.33, + "learning_rate": 5e-06, + "loss": 0.7124, + "step": 625 + }, + { + "epoch": 1.34, + "learning_rate": 5e-06, + "loss": 0.6074, + "step": 626 + }, + { + "epoch": 1.34, + "learning_rate": 5e-06, + "loss": 0.5985, + "step": 627 + }, + { + "epoch": 1.34, + "learning_rate": 5e-06, + "loss": 0.6955, + "step": 628 + }, + { + "epoch": 1.34, + "learning_rate": 5e-06, + "loss": 0.6544, + "step": 629 + }, + { + "epoch": 1.34, + "learning_rate": 5e-06, + "loss": 0.6722, + "step": 630 + }, + { + "epoch": 1.35, + "learning_rate": 5e-06, + "loss": 0.6422, + "step": 631 + }, + { + "epoch": 1.35, + "learning_rate": 5e-06, + "loss": 0.6611, + "step": 632 + }, + { + "epoch": 1.35, + "learning_rate": 5e-06, + "loss": 0.6698, + "step": 633 + }, + { + "epoch": 1.35, + "learning_rate": 5e-06, + "loss": 0.6299, + "step": 634 + }, + { + "epoch": 1.35, + "learning_rate": 5e-06, + "loss": 0.6641, + "step": 635 + }, + { + "epoch": 1.36, + "learning_rate": 5e-06, + "loss": 0.5547, + "step": 636 + }, + { + "epoch": 1.36, + "learning_rate": 5e-06, + "loss": 0.6695, + "step": 637 + }, + { + "epoch": 1.36, + "learning_rate": 5e-06, + "loss": 0.6563, + "step": 638 + }, + { + "epoch": 1.36, + "learning_rate": 5e-06, + "loss": 0.5838, + "step": 639 + }, + { + "epoch": 1.37, + "learning_rate": 5e-06, + "loss": 0.7056, + "step": 640 + }, + { + "epoch": 1.37, + "learning_rate": 5e-06, + "loss": 0.6545, + "step": 641 + }, + { + "epoch": 1.37, + "learning_rate": 5e-06, + "loss": 0.6671, + "step": 642 + }, + { + "epoch": 1.37, + "learning_rate": 5e-06, + "loss": 0.6916, + "step": 643 + }, + { + "epoch": 1.37, + "learning_rate": 5e-06, + "loss": 0.7028, + "step": 644 + }, + { + "epoch": 1.38, + "learning_rate": 5e-06, + "loss": 0.6374, + "step": 645 + }, + { + "epoch": 1.38, + "learning_rate": 5e-06, + "loss": 0.7019, + "step": 646 + }, + { + "epoch": 1.38, + "learning_rate": 5e-06, + "loss": 0.6289, + "step": 647 + }, + { + "epoch": 1.38, + "learning_rate": 5e-06, + "loss": 0.7065, + "step": 648 + }, + { + "epoch": 1.38, + "learning_rate": 5e-06, + "loss": 0.6515, + "step": 649 + }, + { + "epoch": 1.39, + "learning_rate": 5e-06, + "loss": 0.6206, + "step": 650 + }, + { + "epoch": 1.39, + "learning_rate": 5e-06, + "loss": 0.6995, + "step": 651 + }, + { + "epoch": 1.39, + "learning_rate": 5e-06, + "loss": 0.6437, + "step": 652 + }, + { + "epoch": 1.39, + "learning_rate": 5e-06, + "loss": 0.7256, + "step": 653 + }, + { + "epoch": 1.4, + "learning_rate": 5e-06, + "loss": 0.6417, + "step": 654 + }, + { + "epoch": 1.4, + "learning_rate": 5e-06, + "loss": 0.6212, + "step": 655 + }, + { + "epoch": 1.4, + "learning_rate": 5e-06, + "loss": 0.679, + "step": 656 + }, + { + "epoch": 1.4, + "learning_rate": 5e-06, + "loss": 0.7172, + "step": 657 + }, + { + "epoch": 1.4, + "learning_rate": 5e-06, + "loss": 0.67, + "step": 658 + }, + { + "epoch": 1.41, + "learning_rate": 5e-06, + "loss": 0.7212, + "step": 659 + }, + { + "epoch": 1.41, + "learning_rate": 5e-06, + "loss": 0.6787, + "step": 660 + }, + { + "epoch": 1.41, + "learning_rate": 5e-06, + "loss": 0.6826, + "step": 661 + }, + { + "epoch": 1.41, + "learning_rate": 5e-06, + "loss": 0.6982, + "step": 662 + }, + { + "epoch": 1.41, + "learning_rate": 5e-06, + "loss": 0.6329, + "step": 663 + }, + { + "epoch": 1.42, + "learning_rate": 5e-06, + "loss": 0.6791, + "step": 664 + }, + { + "epoch": 1.42, + "learning_rate": 5e-06, + "loss": 0.6931, + "step": 665 + }, + { + "epoch": 1.42, + "learning_rate": 5e-06, + "loss": 0.7053, + "step": 666 + }, + { + "epoch": 1.42, + "learning_rate": 5e-06, + "loss": 0.6428, + "step": 667 + }, + { + "epoch": 1.43, + "learning_rate": 5e-06, + "loss": 0.6975, + "step": 668 + }, + { + "epoch": 1.43, + "learning_rate": 5e-06, + "loss": 0.7014, + "step": 669 + }, + { + "epoch": 1.43, + "learning_rate": 5e-06, + "loss": 0.6394, + "step": 670 + }, + { + "epoch": 1.43, + "learning_rate": 5e-06, + "loss": 0.674, + "step": 671 + }, + { + "epoch": 1.43, + "learning_rate": 5e-06, + "loss": 0.7004, + "step": 672 + }, + { + "epoch": 1.44, + "learning_rate": 5e-06, + "loss": 0.6573, + "step": 673 + }, + { + "epoch": 1.44, + "learning_rate": 5e-06, + "loss": 0.6101, + "step": 674 + }, + { + "epoch": 1.44, + "learning_rate": 5e-06, + "loss": 0.5865, + "step": 675 + }, + { + "epoch": 1.44, + "learning_rate": 5e-06, + "loss": 0.6688, + "step": 676 + }, + { + "epoch": 1.44, + "learning_rate": 5e-06, + "loss": 0.7086, + "step": 677 + }, + { + "epoch": 1.45, + "learning_rate": 5e-06, + "loss": 0.6607, + "step": 678 + }, + { + "epoch": 1.45, + "learning_rate": 5e-06, + "loss": 0.6057, + "step": 679 + }, + { + "epoch": 1.45, + "learning_rate": 5e-06, + "loss": 0.6317, + "step": 680 + }, + { + "epoch": 1.45, + "learning_rate": 5e-06, + "loss": 0.6438, + "step": 681 + }, + { + "epoch": 1.45, + "learning_rate": 5e-06, + "loss": 0.6601, + "step": 682 + }, + { + "epoch": 1.46, + "learning_rate": 5e-06, + "loss": 0.5958, + "step": 683 + }, + { + "epoch": 1.46, + "learning_rate": 5e-06, + "loss": 0.7044, + "step": 684 + }, + { + "epoch": 1.46, + "learning_rate": 5e-06, + "loss": 0.6376, + "step": 685 + }, + { + "epoch": 1.46, + "learning_rate": 5e-06, + "loss": 0.7003, + "step": 686 + }, + { + "epoch": 1.47, + "learning_rate": 5e-06, + "loss": 0.6902, + "step": 687 + }, + { + "epoch": 1.47, + "learning_rate": 5e-06, + "loss": 0.6356, + "step": 688 + }, + { + "epoch": 1.47, + "learning_rate": 5e-06, + "loss": 0.6639, + "step": 689 + }, + { + "epoch": 1.47, + "learning_rate": 5e-06, + "loss": 0.6478, + "step": 690 + }, + { + "epoch": 1.47, + "learning_rate": 5e-06, + "loss": 0.6927, + "step": 691 + }, + { + "epoch": 1.48, + "learning_rate": 5e-06, + "loss": 0.6603, + "step": 692 + }, + { + "epoch": 1.48, + "learning_rate": 5e-06, + "loss": 0.597, + "step": 693 + }, + { + "epoch": 1.48, + "learning_rate": 5e-06, + "loss": 0.7114, + "step": 694 + }, + { + "epoch": 1.48, + "learning_rate": 5e-06, + "loss": 0.6883, + "step": 695 + }, + { + "epoch": 1.48, + "learning_rate": 5e-06, + "loss": 0.6049, + "step": 696 + }, + { + "epoch": 1.49, + "learning_rate": 5e-06, + "loss": 0.6745, + "step": 697 + }, + { + "epoch": 1.49, + "learning_rate": 5e-06, + "loss": 0.7301, + "step": 698 + }, + { + "epoch": 1.49, + "learning_rate": 5e-06, + "loss": 0.6386, + "step": 699 + }, + { + "epoch": 1.49, + "learning_rate": 5e-06, + "loss": 0.687, + "step": 700 + }, + { + "epoch": 1.5, + "learning_rate": 5e-06, + "loss": 0.6799, + "step": 701 + }, + { + "epoch": 1.5, + "learning_rate": 5e-06, + "loss": 0.7321, + "step": 702 + }, + { + "epoch": 1.5, + "learning_rate": 5e-06, + "loss": 0.6444, + "step": 703 + }, + { + "epoch": 1.5, + "learning_rate": 5e-06, + "loss": 0.7091, + "step": 704 + }, + { + "epoch": 1.5, + "learning_rate": 5e-06, + "loss": 0.7048, + "step": 705 + }, + { + "epoch": 1.51, + "learning_rate": 5e-06, + "loss": 0.6787, + "step": 706 + }, + { + "epoch": 1.51, + "learning_rate": 5e-06, + "loss": 0.7037, + "step": 707 + }, + { + "epoch": 1.51, + "learning_rate": 5e-06, + "loss": 0.704, + "step": 708 + }, + { + "epoch": 1.51, + "learning_rate": 5e-06, + "loss": 0.6792, + "step": 709 + }, + { + "epoch": 1.51, + "learning_rate": 5e-06, + "loss": 0.6202, + "step": 710 + }, + { + "epoch": 1.52, + "learning_rate": 5e-06, + "loss": 0.707, + "step": 711 + }, + { + "epoch": 1.52, + "learning_rate": 5e-06, + "loss": 0.6656, + "step": 712 + }, + { + "epoch": 1.52, + "learning_rate": 5e-06, + "loss": 0.7435, + "step": 713 + }, + { + "epoch": 1.52, + "learning_rate": 5e-06, + "loss": 0.6696, + "step": 714 + }, + { + "epoch": 1.53, + "learning_rate": 5e-06, + "loss": 0.6318, + "step": 715 + }, + { + "epoch": 1.53, + "learning_rate": 5e-06, + "loss": 0.6409, + "step": 716 + }, + { + "epoch": 1.53, + "learning_rate": 5e-06, + "loss": 0.6747, + "step": 717 + }, + { + "epoch": 1.53, + "learning_rate": 5e-06, + "loss": 0.6485, + "step": 718 + }, + { + "epoch": 1.53, + "learning_rate": 5e-06, + "loss": 0.6788, + "step": 719 + }, + { + "epoch": 1.54, + "learning_rate": 5e-06, + "loss": 0.6411, + "step": 720 + }, + { + "epoch": 1.54, + "learning_rate": 5e-06, + "loss": 0.617, + "step": 721 + }, + { + "epoch": 1.54, + "learning_rate": 5e-06, + "loss": 0.648, + "step": 722 + }, + { + "epoch": 1.54, + "learning_rate": 5e-06, + "loss": 0.6382, + "step": 723 + }, + { + "epoch": 1.54, + "learning_rate": 5e-06, + "loss": 0.5992, + "step": 724 + }, + { + "epoch": 1.55, + "learning_rate": 5e-06, + "loss": 0.6955, + "step": 725 + }, + { + "epoch": 1.55, + "learning_rate": 5e-06, + "loss": 0.7319, + "step": 726 + }, + { + "epoch": 1.55, + "learning_rate": 5e-06, + "loss": 0.7246, + "step": 727 + }, + { + "epoch": 1.55, + "learning_rate": 5e-06, + "loss": 0.7442, + "step": 728 + }, + { + "epoch": 1.56, + "learning_rate": 5e-06, + "loss": 0.7032, + "step": 729 + }, + { + "epoch": 1.56, + "learning_rate": 5e-06, + "loss": 0.6187, + "step": 730 + }, + { + "epoch": 1.56, + "learning_rate": 5e-06, + "loss": 0.6505, + "step": 731 + }, + { + "epoch": 1.56, + "learning_rate": 5e-06, + "loss": 0.6716, + "step": 732 + }, + { + "epoch": 1.56, + "learning_rate": 5e-06, + "loss": 0.6385, + "step": 733 + }, + { + "epoch": 1.57, + "learning_rate": 5e-06, + "loss": 0.685, + "step": 734 + }, + { + "epoch": 1.57, + "learning_rate": 5e-06, + "loss": 0.6434, + "step": 735 + }, + { + "epoch": 1.57, + "learning_rate": 5e-06, + "loss": 0.6803, + "step": 736 + }, + { + "epoch": 1.57, + "learning_rate": 5e-06, + "loss": 0.6362, + "step": 737 + }, + { + "epoch": 1.57, + "learning_rate": 5e-06, + "loss": 0.7028, + "step": 738 + }, + { + "epoch": 1.58, + "learning_rate": 5e-06, + "loss": 0.6736, + "step": 739 + }, + { + "epoch": 1.58, + "learning_rate": 5e-06, + "loss": 0.7004, + "step": 740 + }, + { + "epoch": 1.58, + "learning_rate": 5e-06, + "loss": 0.688, + "step": 741 + }, + { + "epoch": 1.58, + "learning_rate": 5e-06, + "loss": 0.6202, + "step": 742 + }, + { + "epoch": 1.59, + "learning_rate": 5e-06, + "loss": 0.6794, + "step": 743 + }, + { + "epoch": 1.59, + "learning_rate": 5e-06, + "loss": 0.6959, + "step": 744 + }, + { + "epoch": 1.59, + "learning_rate": 5e-06, + "loss": 0.6825, + "step": 745 + }, + { + "epoch": 1.59, + "learning_rate": 5e-06, + "loss": 0.6811, + "step": 746 + }, + { + "epoch": 1.59, + "learning_rate": 5e-06, + "loss": 0.6419, + "step": 747 + }, + { + "epoch": 1.6, + "learning_rate": 5e-06, + "loss": 0.6952, + "step": 748 + }, + { + "epoch": 1.6, + "learning_rate": 5e-06, + "loss": 0.5878, + "step": 749 + }, + { + "epoch": 1.6, + "learning_rate": 5e-06, + "loss": 0.6662, + "step": 750 + }, + { + "epoch": 1.6, + "learning_rate": 5e-06, + "loss": 0.633, + "step": 751 + }, + { + "epoch": 1.6, + "learning_rate": 5e-06, + "loss": 0.6257, + "step": 752 + }, + { + "epoch": 1.61, + "learning_rate": 5e-06, + "loss": 0.6676, + "step": 753 + }, + { + "epoch": 1.61, + "learning_rate": 5e-06, + "loss": 0.6126, + "step": 754 + }, + { + "epoch": 1.61, + "learning_rate": 5e-06, + "loss": 0.7211, + "step": 755 + }, + { + "epoch": 1.61, + "learning_rate": 5e-06, + "loss": 0.6555, + "step": 756 + }, + { + "epoch": 1.61, + "learning_rate": 5e-06, + "loss": 0.6537, + "step": 757 + }, + { + "epoch": 1.62, + "learning_rate": 5e-06, + "loss": 0.7181, + "step": 758 + }, + { + "epoch": 1.62, + "learning_rate": 5e-06, + "loss": 0.6001, + "step": 759 + }, + { + "epoch": 1.62, + "learning_rate": 5e-06, + "loss": 0.6627, + "step": 760 + }, + { + "epoch": 1.62, + "learning_rate": 5e-06, + "loss": 0.6386, + "step": 761 + }, + { + "epoch": 1.63, + "learning_rate": 5e-06, + "loss": 0.613, + "step": 762 + }, + { + "epoch": 1.63, + "learning_rate": 5e-06, + "loss": 0.7076, + "step": 763 + }, + { + "epoch": 1.63, + "learning_rate": 5e-06, + "loss": 0.6191, + "step": 764 + }, + { + "epoch": 1.63, + "learning_rate": 5e-06, + "loss": 0.6729, + "step": 765 + }, + { + "epoch": 1.63, + "learning_rate": 5e-06, + "loss": 0.6373, + "step": 766 + }, + { + "epoch": 1.64, + "learning_rate": 5e-06, + "loss": 0.6052, + "step": 767 + }, + { + "epoch": 1.64, + "learning_rate": 5e-06, + "loss": 0.6561, + "step": 768 + }, + { + "epoch": 1.64, + "learning_rate": 5e-06, + "loss": 0.619, + "step": 769 + }, + { + "epoch": 1.64, + "learning_rate": 5e-06, + "loss": 0.7382, + "step": 770 + }, + { + "epoch": 1.64, + "learning_rate": 5e-06, + "loss": 0.6352, + "step": 771 + }, + { + "epoch": 1.65, + "learning_rate": 5e-06, + "loss": 0.6813, + "step": 772 + }, + { + "epoch": 1.65, + "learning_rate": 5e-06, + "loss": 0.667, + "step": 773 + }, + { + "epoch": 1.65, + "learning_rate": 5e-06, + "loss": 0.7465, + "step": 774 + }, + { + "epoch": 1.65, + "learning_rate": 5e-06, + "loss": 0.6699, + "step": 775 + }, + { + "epoch": 1.66, + "learning_rate": 5e-06, + "loss": 0.6768, + "step": 776 + }, + { + "epoch": 1.66, + "learning_rate": 5e-06, + "loss": 0.6493, + "step": 777 + }, + { + "epoch": 1.66, + "learning_rate": 5e-06, + "loss": 0.6459, + "step": 778 + }, + { + "epoch": 1.66, + "learning_rate": 5e-06, + "loss": 0.6794, + "step": 779 + }, + { + "epoch": 1.66, + "learning_rate": 5e-06, + "loss": 0.6765, + "step": 780 + }, + { + "epoch": 1.67, + "learning_rate": 5e-06, + "loss": 0.654, + "step": 781 + }, + { + "epoch": 1.67, + "learning_rate": 5e-06, + "loss": 0.6116, + "step": 782 + }, + { + "epoch": 1.67, + "learning_rate": 5e-06, + "loss": 0.6778, + "step": 783 + }, + { + "epoch": 1.67, + "learning_rate": 5e-06, + "loss": 0.6864, + "step": 784 + }, + { + "epoch": 1.67, + "learning_rate": 5e-06, + "loss": 0.7155, + "step": 785 + }, + { + "epoch": 1.68, + "learning_rate": 5e-06, + "loss": 0.6075, + "step": 786 + }, + { + "epoch": 1.68, + "learning_rate": 5e-06, + "loss": 0.7276, + "step": 787 + }, + { + "epoch": 1.68, + "learning_rate": 5e-06, + "loss": 0.6361, + "step": 788 + }, + { + "epoch": 1.68, + "learning_rate": 5e-06, + "loss": 0.6892, + "step": 789 + }, + { + "epoch": 1.69, + "learning_rate": 5e-06, + "loss": 0.6267, + "step": 790 + }, + { + "epoch": 1.69, + "learning_rate": 5e-06, + "loss": 0.7546, + "step": 791 + }, + { + "epoch": 1.69, + "learning_rate": 5e-06, + "loss": 0.6671, + "step": 792 + }, + { + "epoch": 1.69, + "learning_rate": 5e-06, + "loss": 0.6924, + "step": 793 + }, + { + "epoch": 1.69, + "learning_rate": 5e-06, + "loss": 0.7384, + "step": 794 + }, + { + "epoch": 1.7, + "learning_rate": 5e-06, + "loss": 0.6468, + "step": 795 + }, + { + "epoch": 1.7, + "learning_rate": 5e-06, + "loss": 0.6513, + "step": 796 + }, + { + "epoch": 1.7, + "learning_rate": 5e-06, + "loss": 0.6565, + "step": 797 + }, + { + "epoch": 1.7, + "learning_rate": 5e-06, + "loss": 0.7515, + "step": 798 + }, + { + "epoch": 1.7, + "learning_rate": 5e-06, + "loss": 0.6423, + "step": 799 + }, + { + "epoch": 1.71, + "learning_rate": 5e-06, + "loss": 0.6139, + "step": 800 + }, + { + "epoch": 1.71, + "learning_rate": 5e-06, + "loss": 0.6632, + "step": 801 + }, + { + "epoch": 1.71, + "learning_rate": 5e-06, + "loss": 0.6741, + "step": 802 + }, + { + "epoch": 1.71, + "learning_rate": 5e-06, + "loss": 0.6358, + "step": 803 + }, + { + "epoch": 1.72, + "learning_rate": 5e-06, + "loss": 0.6303, + "step": 804 + }, + { + "epoch": 1.72, + "learning_rate": 5e-06, + "loss": 0.6295, + "step": 805 + }, + { + "epoch": 1.72, + "learning_rate": 5e-06, + "loss": 0.6687, + "step": 806 + }, + { + "epoch": 1.72, + "learning_rate": 5e-06, + "loss": 0.5648, + "step": 807 + }, + { + "epoch": 1.72, + "learning_rate": 5e-06, + "loss": 0.6721, + "step": 808 + }, + { + "epoch": 1.73, + "learning_rate": 5e-06, + "loss": 0.6527, + "step": 809 + }, + { + "epoch": 1.73, + "learning_rate": 5e-06, + "loss": 0.7354, + "step": 810 + }, + { + "epoch": 1.73, + "learning_rate": 5e-06, + "loss": 0.6099, + "step": 811 + }, + { + "epoch": 1.73, + "learning_rate": 5e-06, + "loss": 0.7045, + "step": 812 + }, + { + "epoch": 1.73, + "learning_rate": 5e-06, + "loss": 0.661, + "step": 813 + }, + { + "epoch": 1.74, + "learning_rate": 5e-06, + "loss": 0.6575, + "step": 814 + }, + { + "epoch": 1.74, + "learning_rate": 5e-06, + "loss": 0.6982, + "step": 815 + }, + { + "epoch": 1.74, + "learning_rate": 5e-06, + "loss": 0.6495, + "step": 816 + }, + { + "epoch": 1.74, + "learning_rate": 5e-06, + "loss": 0.626, + "step": 817 + }, + { + "epoch": 1.75, + "learning_rate": 5e-06, + "loss": 0.6524, + "step": 818 + }, + { + "epoch": 1.75, + "learning_rate": 5e-06, + "loss": 0.6283, + "step": 819 + }, + { + "epoch": 1.75, + "learning_rate": 5e-06, + "loss": 0.7343, + "step": 820 + }, + { + "epoch": 1.75, + "learning_rate": 5e-06, + "loss": 0.6777, + "step": 821 + }, + { + "epoch": 1.75, + "learning_rate": 5e-06, + "loss": 0.6922, + "step": 822 + }, + { + "epoch": 1.76, + "learning_rate": 5e-06, + "loss": 0.6522, + "step": 823 + }, + { + "epoch": 1.76, + "learning_rate": 5e-06, + "loss": 0.5868, + "step": 824 + }, + { + "epoch": 1.76, + "learning_rate": 5e-06, + "loss": 0.6213, + "step": 825 + }, + { + "epoch": 1.76, + "learning_rate": 5e-06, + "loss": 0.5686, + "step": 826 + }, + { + "epoch": 1.76, + "learning_rate": 5e-06, + "loss": 0.6395, + "step": 827 + }, + { + "epoch": 1.77, + "learning_rate": 5e-06, + "loss": 0.583, + "step": 828 + }, + { + "epoch": 1.77, + "learning_rate": 5e-06, + "loss": 0.7285, + "step": 829 + }, + { + "epoch": 1.77, + "learning_rate": 5e-06, + "loss": 0.6323, + "step": 830 + }, + { + "epoch": 1.77, + "learning_rate": 5e-06, + "loss": 0.6937, + "step": 831 + }, + { + "epoch": 1.77, + "learning_rate": 5e-06, + "loss": 0.6779, + "step": 832 + }, + { + "epoch": 1.78, + "learning_rate": 5e-06, + "loss": 0.6587, + "step": 833 + }, + { + "epoch": 1.78, + "learning_rate": 5e-06, + "loss": 0.6876, + "step": 834 + }, + { + "epoch": 1.78, + "learning_rate": 5e-06, + "loss": 0.624, + "step": 835 + }, + { + "epoch": 1.78, + "learning_rate": 5e-06, + "loss": 0.5833, + "step": 836 + }, + { + "epoch": 1.79, + "learning_rate": 5e-06, + "loss": 0.6241, + "step": 837 + }, + { + "epoch": 1.79, + "learning_rate": 5e-06, + "loss": 0.6034, + "step": 838 + }, + { + "epoch": 1.79, + "learning_rate": 5e-06, + "loss": 0.6813, + "step": 839 + }, + { + "epoch": 1.79, + "learning_rate": 5e-06, + "loss": 0.6554, + "step": 840 + }, + { + "epoch": 1.79, + "learning_rate": 5e-06, + "loss": 0.6334, + "step": 841 + }, + { + "epoch": 1.8, + "learning_rate": 5e-06, + "loss": 0.6501, + "step": 842 + }, + { + "epoch": 1.8, + "learning_rate": 5e-06, + "loss": 0.6495, + "step": 843 + }, + { + "epoch": 1.8, + "learning_rate": 5e-06, + "loss": 0.6817, + "step": 844 + }, + { + "epoch": 1.8, + "learning_rate": 5e-06, + "loss": 0.6359, + "step": 845 + }, + { + "epoch": 1.8, + "learning_rate": 5e-06, + "loss": 0.709, + "step": 846 + }, + { + "epoch": 1.81, + "learning_rate": 5e-06, + "loss": 0.7104, + "step": 847 + }, + { + "epoch": 1.81, + "learning_rate": 5e-06, + "loss": 0.6433, + "step": 848 + }, + { + "epoch": 1.81, + "learning_rate": 5e-06, + "loss": 0.7394, + "step": 849 + }, + { + "epoch": 1.81, + "learning_rate": 5e-06, + "loss": 0.6313, + "step": 850 + }, + { + "epoch": 1.82, + "learning_rate": 5e-06, + "loss": 0.714, + "step": 851 + }, + { + "epoch": 1.82, + "learning_rate": 5e-06, + "loss": 0.6563, + "step": 852 + }, + { + "epoch": 1.82, + "learning_rate": 5e-06, + "loss": 0.6482, + "step": 853 + }, + { + "epoch": 1.82, + "learning_rate": 5e-06, + "loss": 0.6478, + "step": 854 + }, + { + "epoch": 1.82, + "learning_rate": 5e-06, + "loss": 0.681, + "step": 855 + }, + { + "epoch": 1.83, + "learning_rate": 5e-06, + "loss": 0.602, + "step": 856 + }, + { + "epoch": 1.83, + "learning_rate": 5e-06, + "loss": 0.6192, + "step": 857 + }, + { + "epoch": 1.83, + "learning_rate": 5e-06, + "loss": 0.6472, + "step": 858 + }, + { + "epoch": 1.83, + "learning_rate": 5e-06, + "loss": 0.6767, + "step": 859 + }, + { + "epoch": 1.83, + "learning_rate": 5e-06, + "loss": 0.6588, + "step": 860 + }, + { + "epoch": 1.84, + "learning_rate": 5e-06, + "loss": 0.665, + "step": 861 + }, + { + "epoch": 1.84, + "learning_rate": 5e-06, + "loss": 0.6688, + "step": 862 + }, + { + "epoch": 1.84, + "learning_rate": 5e-06, + "loss": 0.5669, + "step": 863 + }, + { + "epoch": 1.84, + "learning_rate": 5e-06, + "loss": 0.6826, + "step": 864 + }, + { + "epoch": 1.85, + "learning_rate": 5e-06, + "loss": 0.619, + "step": 865 + }, + { + "epoch": 1.85, + "learning_rate": 5e-06, + "loss": 0.6268, + "step": 866 + }, + { + "epoch": 1.85, + "learning_rate": 5e-06, + "loss": 0.6319, + "step": 867 + }, + { + "epoch": 1.85, + "learning_rate": 5e-06, + "loss": 0.6852, + "step": 868 + }, + { + "epoch": 1.85, + "learning_rate": 5e-06, + "loss": 0.6543, + "step": 869 + }, + { + "epoch": 1.86, + "learning_rate": 5e-06, + "loss": 0.5947, + "step": 870 + }, + { + "epoch": 1.86, + "learning_rate": 5e-06, + "loss": 0.668, + "step": 871 + }, + { + "epoch": 1.86, + "learning_rate": 5e-06, + "loss": 0.6297, + "step": 872 + }, + { + "epoch": 1.86, + "learning_rate": 5e-06, + "loss": 0.5856, + "step": 873 + }, + { + "epoch": 1.86, + "learning_rate": 5e-06, + "loss": 0.6924, + "step": 874 + }, + { + "epoch": 1.87, + "learning_rate": 5e-06, + "loss": 0.6611, + "step": 875 + }, + { + "epoch": 1.87, + "learning_rate": 5e-06, + "loss": 0.6887, + "step": 876 + }, + { + "epoch": 1.87, + "learning_rate": 5e-06, + "loss": 0.6502, + "step": 877 + }, + { + "epoch": 1.87, + "learning_rate": 5e-06, + "loss": 0.6269, + "step": 878 + }, + { + "epoch": 1.88, + "learning_rate": 5e-06, + "loss": 0.6166, + "step": 879 + }, + { + "epoch": 1.88, + "learning_rate": 5e-06, + "loss": 0.7394, + "step": 880 + }, + { + "epoch": 1.88, + "learning_rate": 5e-06, + "loss": 0.6479, + "step": 881 + }, + { + "epoch": 1.88, + "learning_rate": 5e-06, + "loss": 0.6558, + "step": 882 + }, + { + "epoch": 1.88, + "learning_rate": 5e-06, + "loss": 0.6866, + "step": 883 + }, + { + "epoch": 1.89, + "learning_rate": 5e-06, + "loss": 0.6439, + "step": 884 + }, + { + "epoch": 1.89, + "learning_rate": 5e-06, + "loss": 0.6577, + "step": 885 + }, + { + "epoch": 1.89, + "learning_rate": 5e-06, + "loss": 0.7388, + "step": 886 + }, + { + "epoch": 1.89, + "learning_rate": 5e-06, + "loss": 0.7518, + "step": 887 + }, + { + "epoch": 1.89, + "learning_rate": 5e-06, + "loss": 0.6439, + "step": 888 + }, + { + "epoch": 1.9, + "learning_rate": 5e-06, + "loss": 0.6509, + "step": 889 + }, + { + "epoch": 1.9, + "learning_rate": 5e-06, + "loss": 0.658, + "step": 890 + }, + { + "epoch": 1.9, + "learning_rate": 5e-06, + "loss": 0.6729, + "step": 891 + }, + { + "epoch": 1.9, + "learning_rate": 5e-06, + "loss": 0.6712, + "step": 892 + }, + { + "epoch": 1.91, + "learning_rate": 5e-06, + "loss": 0.7011, + "step": 893 + }, + { + "epoch": 1.91, + "learning_rate": 5e-06, + "loss": 0.6966, + "step": 894 + }, + { + "epoch": 1.91, + "learning_rate": 5e-06, + "loss": 0.6344, + "step": 895 + }, + { + "epoch": 1.91, + "learning_rate": 5e-06, + "loss": 0.6276, + "step": 896 + }, + { + "epoch": 1.91, + "learning_rate": 5e-06, + "loss": 0.684, + "step": 897 + }, + { + "epoch": 1.92, + "learning_rate": 5e-06, + "loss": 0.6803, + "step": 898 + }, + { + "epoch": 1.92, + "learning_rate": 5e-06, + "loss": 0.68, + "step": 899 + }, + { + "epoch": 1.92, + "learning_rate": 5e-06, + "loss": 0.6628, + "step": 900 + }, + { + "epoch": 1.92, + "learning_rate": 5e-06, + "loss": 0.6333, + "step": 901 + }, + { + "epoch": 1.92, + "learning_rate": 5e-06, + "loss": 0.5684, + "step": 902 + }, + { + "epoch": 1.93, + "learning_rate": 5e-06, + "loss": 0.6721, + "step": 903 + }, + { + "epoch": 1.93, + "learning_rate": 5e-06, + "loss": 0.69, + "step": 904 + }, + { + "epoch": 1.93, + "learning_rate": 5e-06, + "loss": 0.6724, + "step": 905 + }, + { + "epoch": 1.93, + "learning_rate": 5e-06, + "loss": 0.6217, + "step": 906 + }, + { + "epoch": 1.93, + "learning_rate": 5e-06, + "loss": 0.715, + "step": 907 + }, + { + "epoch": 1.94, + "learning_rate": 5e-06, + "loss": 0.6323, + "step": 908 + }, + { + "epoch": 1.94, + "learning_rate": 5e-06, + "loss": 0.5879, + "step": 909 + }, + { + "epoch": 1.94, + "learning_rate": 5e-06, + "loss": 0.6679, + "step": 910 + }, + { + "epoch": 1.94, + "learning_rate": 5e-06, + "loss": 0.6374, + "step": 911 + }, + { + "epoch": 1.95, + "learning_rate": 5e-06, + "loss": 0.6286, + "step": 912 + }, + { + "epoch": 1.95, + "learning_rate": 5e-06, + "loss": 0.5938, + "step": 913 + }, + { + "epoch": 1.95, + "learning_rate": 5e-06, + "loss": 0.6596, + "step": 914 + }, + { + "epoch": 1.95, + "learning_rate": 5e-06, + "loss": 0.7006, + "step": 915 + }, + { + "epoch": 1.95, + "learning_rate": 5e-06, + "loss": 0.6663, + "step": 916 + }, + { + "epoch": 1.96, + "learning_rate": 5e-06, + "loss": 0.6291, + "step": 917 + }, + { + "epoch": 1.96, + "learning_rate": 5e-06, + "loss": 0.6638, + "step": 918 + }, + { + "epoch": 1.96, + "learning_rate": 5e-06, + "loss": 0.6641, + "step": 919 + }, + { + "epoch": 1.96, + "learning_rate": 5e-06, + "loss": 0.6743, + "step": 920 + }, + { + "epoch": 1.96, + "learning_rate": 5e-06, + "loss": 0.675, + "step": 921 + }, + { + "epoch": 1.97, + "learning_rate": 5e-06, + "loss": 0.6395, + "step": 922 + }, + { + "epoch": 1.97, + "learning_rate": 5e-06, + "loss": 0.6489, + "step": 923 + }, + { + "epoch": 1.97, + "learning_rate": 5e-06, + "loss": 0.6081, + "step": 924 + }, + { + "epoch": 1.97, + "learning_rate": 5e-06, + "loss": 0.6611, + "step": 925 + }, + { + "epoch": 1.98, + "learning_rate": 5e-06, + "loss": 0.6118, + "step": 926 + }, + { + "epoch": 1.98, + "learning_rate": 5e-06, + "loss": 0.5995, + "step": 927 + }, + { + "epoch": 1.98, + "learning_rate": 5e-06, + "loss": 0.6284, + "step": 928 + }, + { + "epoch": 1.98, + "learning_rate": 5e-06, + "loss": 0.5616, + "step": 929 + }, + { + "epoch": 1.98, + "learning_rate": 5e-06, + "loss": 0.6686, + "step": 930 + }, + { + "epoch": 1.99, + "learning_rate": 5e-06, + "loss": 0.6133, + "step": 931 + }, + { + "epoch": 1.99, + "learning_rate": 5e-06, + "loss": 0.6482, + "step": 932 + }, + { + "epoch": 1.99, + "learning_rate": 5e-06, + "loss": 0.6703, + "step": 933 + }, + { + "epoch": 1.99, + "learning_rate": 5e-06, + "loss": 0.6462, + "step": 934 + }, + { + "epoch": 1.99, + "learning_rate": 5e-06, + "loss": 0.5937, + "step": 935 + }, + { + "epoch": 2.0, + "learning_rate": 5e-06, + "loss": 0.679, + "step": 936 + }, + { + "epoch": 2.0, + "learning_rate": 5e-06, + "loss": 0.6658, + "step": 937 + }, + { + "epoch": 2.0, + "learning_rate": 5e-06, + "loss": 0.6225, + "step": 938 + }, + { + "epoch": 2.0, + "learning_rate": 5e-06, + "loss": 0.5104, + "step": 939 + }, + { + "epoch": 2.01, + "learning_rate": 5e-06, + "loss": 0.4632, + "step": 940 + }, + { + "epoch": 2.01, + "learning_rate": 5e-06, + "loss": 0.4713, + "step": 941 + }, + { + "epoch": 2.01, + "learning_rate": 5e-06, + "loss": 0.4562, + "step": 942 + }, + { + "epoch": 2.01, + "learning_rate": 5e-06, + "loss": 0.5048, + "step": 943 + }, + { + "epoch": 2.01, + "learning_rate": 5e-06, + "loss": 0.4529, + "step": 944 + }, + { + "epoch": 2.02, + "learning_rate": 5e-06, + "loss": 0.5007, + "step": 945 + }, + { + "epoch": 2.02, + "learning_rate": 5e-06, + "loss": 0.4808, + "step": 946 + }, + { + "epoch": 2.02, + "learning_rate": 5e-06, + "loss": 0.4504, + "step": 947 + }, + { + "epoch": 2.02, + "learning_rate": 5e-06, + "loss": 0.4919, + "step": 948 + }, + { + "epoch": 2.02, + "learning_rate": 5e-06, + "loss": 0.4911, + "step": 949 + }, + { + "epoch": 2.03, + "learning_rate": 5e-06, + "loss": 0.4432, + "step": 950 + }, + { + "epoch": 2.03, + "learning_rate": 5e-06, + "loss": 0.469, + "step": 951 + }, + { + "epoch": 2.03, + "learning_rate": 5e-06, + "loss": 0.4923, + "step": 952 + }, + { + "epoch": 2.03, + "learning_rate": 5e-06, + "loss": 0.4578, + "step": 953 + }, + { + "epoch": 2.04, + "learning_rate": 5e-06, + "loss": 0.4947, + "step": 954 + }, + { + "epoch": 2.04, + "learning_rate": 5e-06, + "loss": 0.4264, + "step": 955 + }, + { + "epoch": 2.04, + "learning_rate": 5e-06, + "loss": 0.4309, + "step": 956 + }, + { + "epoch": 2.04, + "learning_rate": 5e-06, + "loss": 0.4866, + "step": 957 + }, + { + "epoch": 2.04, + "learning_rate": 5e-06, + "loss": 0.493, + "step": 958 + }, + { + "epoch": 2.05, + "learning_rate": 5e-06, + "loss": 0.4002, + "step": 959 + }, + { + "epoch": 2.05, + "learning_rate": 5e-06, + "loss": 0.4199, + "step": 960 + }, + { + "epoch": 2.05, + "learning_rate": 5e-06, + "loss": 0.4693, + "step": 961 + }, + { + "epoch": 2.05, + "learning_rate": 5e-06, + "loss": 0.4943, + "step": 962 + }, + { + "epoch": 2.05, + "learning_rate": 5e-06, + "loss": 0.497, + "step": 963 + }, + { + "epoch": 2.06, + "learning_rate": 5e-06, + "loss": 0.421, + "step": 964 + }, + { + "epoch": 2.06, + "learning_rate": 5e-06, + "loss": 0.4072, + "step": 965 + }, + { + "epoch": 2.06, + "learning_rate": 5e-06, + "loss": 0.4544, + "step": 966 + }, + { + "epoch": 2.06, + "learning_rate": 5e-06, + "loss": 0.4661, + "step": 967 + }, + { + "epoch": 2.07, + "learning_rate": 5e-06, + "loss": 0.4485, + "step": 968 + }, + { + "epoch": 2.07, + "learning_rate": 5e-06, + "loss": 0.438, + "step": 969 + }, + { + "epoch": 2.07, + "learning_rate": 5e-06, + "loss": 0.4142, + "step": 970 + }, + { + "epoch": 2.07, + "learning_rate": 5e-06, + "loss": 0.4532, + "step": 971 + }, + { + "epoch": 2.07, + "learning_rate": 5e-06, + "loss": 0.4182, + "step": 972 + }, + { + "epoch": 2.08, + "learning_rate": 5e-06, + "loss": 0.4515, + "step": 973 + }, + { + "epoch": 2.08, + "learning_rate": 5e-06, + "loss": 0.4963, + "step": 974 + }, + { + "epoch": 2.08, + "learning_rate": 5e-06, + "loss": 0.4475, + "step": 975 + }, + { + "epoch": 2.08, + "learning_rate": 5e-06, + "loss": 0.4708, + "step": 976 + }, + { + "epoch": 2.08, + "learning_rate": 5e-06, + "loss": 0.5019, + "step": 977 + }, + { + "epoch": 2.09, + "learning_rate": 5e-06, + "loss": 0.4483, + "step": 978 + }, + { + "epoch": 2.09, + "learning_rate": 5e-06, + "loss": 0.4666, + "step": 979 + }, + { + "epoch": 2.09, + "learning_rate": 5e-06, + "loss": 0.3958, + "step": 980 + }, + { + "epoch": 2.09, + "learning_rate": 5e-06, + "loss": 0.4056, + "step": 981 + }, + { + "epoch": 2.09, + "learning_rate": 5e-06, + "loss": 0.4519, + "step": 982 + }, + { + "epoch": 2.1, + "learning_rate": 5e-06, + "loss": 0.4274, + "step": 983 + }, + { + "epoch": 2.1, + "learning_rate": 5e-06, + "loss": 0.5147, + "step": 984 + }, + { + "epoch": 2.1, + "learning_rate": 5e-06, + "loss": 0.4513, + "step": 985 + }, + { + "epoch": 2.1, + "learning_rate": 5e-06, + "loss": 0.4441, + "step": 986 + }, + { + "epoch": 2.11, + "learning_rate": 5e-06, + "loss": 0.4566, + "step": 987 + }, + { + "epoch": 2.11, + "learning_rate": 5e-06, + "loss": 0.4696, + "step": 988 + }, + { + "epoch": 2.11, + "learning_rate": 5e-06, + "loss": 0.4535, + "step": 989 + }, + { + "epoch": 2.11, + "learning_rate": 5e-06, + "loss": 0.4788, + "step": 990 + }, + { + "epoch": 2.11, + "learning_rate": 5e-06, + "loss": 0.4302, + "step": 991 + }, + { + "epoch": 2.12, + "learning_rate": 5e-06, + "loss": 0.4414, + "step": 992 + }, + { + "epoch": 2.12, + "learning_rate": 5e-06, + "loss": 0.4807, + "step": 993 + }, + { + "epoch": 2.12, + "learning_rate": 5e-06, + "loss": 0.4952, + "step": 994 + }, + { + "epoch": 2.12, + "learning_rate": 5e-06, + "loss": 0.4783, + "step": 995 + }, + { + "epoch": 2.12, + "learning_rate": 5e-06, + "loss": 0.4265, + "step": 996 + }, + { + "epoch": 2.13, + "learning_rate": 5e-06, + "loss": 0.4712, + "step": 997 + }, + { + "epoch": 2.13, + "learning_rate": 5e-06, + "loss": 0.4672, + "step": 998 + }, + { + "epoch": 2.13, + "learning_rate": 5e-06, + "loss": 0.4801, + "step": 999 + }, + { + "epoch": 2.13, + "learning_rate": 5e-06, + "loss": 0.4601, + "step": 1000 + } + ], + "logging_steps": 1.0, + "max_steps": 3744, + "num_train_epochs": 8, + "save_steps": 500, + "total_flos": 5.75975864622121e+16, + "trial_name": null, + "trial_params": null +}