diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,13530 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 3.0, + "eval_steps": 500, + "global_step": 2250, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 2.9411764705882355e-06, + "loss": 1.5025, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 5.882352941176471e-06, + "loss": 1.2014, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 8.823529411764707e-06, + "loss": 1.4268, + "step": 3 + }, + { + "epoch": 0.01, + "learning_rate": 1.1764705882352942e-05, + "loss": 1.4108, + "step": 4 + }, + { + "epoch": 0.01, + "learning_rate": 1.4705882352941177e-05, + "loss": 1.6487, + "step": 5 + }, + { + "epoch": 0.01, + "learning_rate": 1.7647058823529414e-05, + "loss": 1.3116, + "step": 6 + }, + { + "epoch": 0.01, + "learning_rate": 2.058823529411765e-05, + "loss": 1.4292, + "step": 7 + }, + { + "epoch": 0.01, + "learning_rate": 2.3529411764705884e-05, + "loss": 1.6753, + "step": 8 + }, + { + "epoch": 0.01, + "learning_rate": 2.647058823529412e-05, + "loss": 1.5403, + "step": 9 + }, + { + "epoch": 0.01, + "learning_rate": 2.9411764705882354e-05, + "loss": 1.4638, + "step": 10 + }, + { + "epoch": 0.01, + "learning_rate": 3.235294117647059e-05, + "loss": 1.3273, + "step": 11 + }, + { + "epoch": 0.02, + "learning_rate": 3.529411764705883e-05, + "loss": 1.4748, + "step": 12 + }, + { + "epoch": 0.02, + "learning_rate": 3.8235294117647055e-05, + "loss": 1.4437, + "step": 13 + }, + { + "epoch": 0.02, + "learning_rate": 4.11764705882353e-05, + "loss": 1.3585, + "step": 14 + }, + { + "epoch": 0.02, + "learning_rate": 4.411764705882353e-05, + "loss": 1.3907, + "step": 15 + }, + { + "epoch": 0.02, + "learning_rate": 4.705882352941177e-05, + "loss": 1.3003, + "step": 16 + }, + { + "epoch": 0.02, + "learning_rate": 5e-05, + "loss": 1.2613, + "step": 17 + }, + { + "epoch": 0.02, + "learning_rate": 5.294117647058824e-05, + "loss": 1.3386, + "step": 18 + }, + { + "epoch": 0.03, + "learning_rate": 5.588235294117647e-05, + "loss": 1.4603, + "step": 19 + }, + { + "epoch": 0.03, + "learning_rate": 5.882352941176471e-05, + "loss": 1.3109, + "step": 20 + }, + { + "epoch": 0.03, + "learning_rate": 6.176470588235295e-05, + "loss": 1.4869, + "step": 21 + }, + { + "epoch": 0.03, + "learning_rate": 6.470588235294118e-05, + "loss": 1.3065, + "step": 22 + }, + { + "epoch": 0.03, + "learning_rate": 6.764705882352942e-05, + "loss": 1.2601, + "step": 23 + }, + { + "epoch": 0.03, + "learning_rate": 7.058823529411765e-05, + "loss": 1.2743, + "step": 24 + }, + { + "epoch": 0.03, + "learning_rate": 7.352941176470589e-05, + "loss": 1.1704, + "step": 25 + }, + { + "epoch": 0.03, + "learning_rate": 7.647058823529411e-05, + "loss": 1.1551, + "step": 26 + }, + { + "epoch": 0.04, + "learning_rate": 7.941176470588235e-05, + "loss": 1.076, + "step": 27 + }, + { + "epoch": 0.04, + "learning_rate": 8.23529411764706e-05, + "loss": 1.3218, + "step": 28 + }, + { + "epoch": 0.04, + "learning_rate": 8.529411764705883e-05, + "loss": 1.3355, + "step": 29 + }, + { + "epoch": 0.04, + "learning_rate": 8.823529411764706e-05, + "loss": 1.2501, + "step": 30 + }, + { + "epoch": 0.04, + "learning_rate": 9.11764705882353e-05, + "loss": 1.3899, + "step": 31 + }, + { + "epoch": 0.04, + "learning_rate": 9.411764705882353e-05, + "loss": 1.1938, + "step": 32 + }, + { + "epoch": 0.04, + "learning_rate": 9.705882352941177e-05, + "loss": 1.2665, + "step": 33 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001, + "loss": 1.271, + "step": 34 + }, + { + "epoch": 0.05, + "learning_rate": 0.00010294117647058823, + "loss": 1.2366, + "step": 35 + }, + { + "epoch": 0.05, + "learning_rate": 0.00010588235294117647, + "loss": 1.2666, + "step": 36 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001088235294117647, + "loss": 1.4364, + "step": 37 + }, + { + "epoch": 0.05, + "learning_rate": 0.00011176470588235294, + "loss": 1.4345, + "step": 38 + }, + { + "epoch": 0.05, + "learning_rate": 0.00011470588235294118, + "loss": 1.3346, + "step": 39 + }, + { + "epoch": 0.05, + "learning_rate": 0.00011764705882352942, + "loss": 1.1571, + "step": 40 + }, + { + "epoch": 0.05, + "learning_rate": 0.00012058823529411765, + "loss": 1.1369, + "step": 41 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001235294117647059, + "loss": 1.3395, + "step": 42 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001264705882352941, + "loss": 1.2814, + "step": 43 + }, + { + "epoch": 0.06, + "learning_rate": 0.00012941176470588237, + "loss": 1.2829, + "step": 44 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001323529411764706, + "loss": 1.4144, + "step": 45 + }, + { + "epoch": 0.06, + "learning_rate": 0.00013529411764705884, + "loss": 1.3002, + "step": 46 + }, + { + "epoch": 0.06, + "learning_rate": 0.00013823529411764707, + "loss": 1.2688, + "step": 47 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001411764705882353, + "loss": 1.2941, + "step": 48 + }, + { + "epoch": 0.07, + "learning_rate": 0.00014411764705882354, + "loss": 1.2342, + "step": 49 + }, + { + "epoch": 0.07, + "learning_rate": 0.00014705882352941178, + "loss": 1.2505, + "step": 50 + }, + { + "epoch": 0.07, + "learning_rate": 0.00015000000000000001, + "loss": 1.2876, + "step": 51 + }, + { + "epoch": 0.07, + "learning_rate": 0.00015294117647058822, + "loss": 1.2052, + "step": 52 + }, + { + "epoch": 0.07, + "learning_rate": 0.00015588235294117648, + "loss": 1.247, + "step": 53 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001588235294117647, + "loss": 1.279, + "step": 54 + }, + { + "epoch": 0.07, + "learning_rate": 0.00016176470588235295, + "loss": 1.4225, + "step": 55 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001647058823529412, + "loss": 1.2783, + "step": 56 + }, + { + "epoch": 0.08, + "learning_rate": 0.00016764705882352942, + "loss": 1.2701, + "step": 57 + }, + { + "epoch": 0.08, + "learning_rate": 0.00017058823529411766, + "loss": 1.2143, + "step": 58 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001735294117647059, + "loss": 1.1219, + "step": 59 + }, + { + "epoch": 0.08, + "learning_rate": 0.00017647058823529413, + "loss": 1.3058, + "step": 60 + }, + { + "epoch": 0.08, + "learning_rate": 0.00017941176470588236, + "loss": 1.2263, + "step": 61 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001823529411764706, + "loss": 1.1908, + "step": 62 + }, + { + "epoch": 0.08, + "learning_rate": 0.00018529411764705883, + "loss": 1.1254, + "step": 63 + }, + { + "epoch": 0.09, + "learning_rate": 0.00018823529411764707, + "loss": 1.2616, + "step": 64 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001911764705882353, + "loss": 1.3775, + "step": 65 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019411764705882354, + "loss": 1.2668, + "step": 66 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019705882352941177, + "loss": 1.3207, + "step": 67 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.2348, + "step": 68 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001999998963521776, + "loss": 1.1503, + "step": 69 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019999958540892524, + "loss": 1.3631, + "step": 70 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001999990671708875, + "loss": 1.0743, + "step": 71 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019999834163913867, + "loss": 1.2555, + "step": 72 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001999974088151827, + "loss": 1.3937, + "step": 73 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019999626870095333, + "loss": 1.3183, + "step": 74 + }, + { + "epoch": 0.1, + "learning_rate": 0.000199994921298814, + "loss": 1.3611, + "step": 75 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001999933666115578, + "loss": 1.1843, + "step": 76 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019999160464240746, + "loss": 1.2158, + "step": 77 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019998963539501557, + "loss": 1.1974, + "step": 78 + }, + { + "epoch": 0.11, + "learning_rate": 0.0001999874588734642, + "loss": 1.2118, + "step": 79 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019998507508226524, + "loss": 1.5406, + "step": 80 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019998248402636017, + "loss": 1.2299, + "step": 81 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019997968571112013, + "loss": 1.2328, + "step": 82 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019997668014234594, + "loss": 1.2574, + "step": 83 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019997346732626795, + "loss": 1.4479, + "step": 84 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019997004726954624, + "loss": 1.1921, + "step": 85 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019996641997927043, + "loss": 1.2451, + "step": 86 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019996258546295975, + "loss": 1.3283, + "step": 87 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001999585437285629, + "loss": 1.2803, + "step": 88 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019995429478445834, + "loss": 1.0761, + "step": 89 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019994983863945388, + "loss": 1.3816, + "step": 90 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019994517530278686, + "loss": 1.5228, + "step": 91 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001999403047841243, + "loss": 1.2743, + "step": 92 + }, + { + "epoch": 0.12, + "learning_rate": 0.0001999352270935625, + "loss": 1.2417, + "step": 93 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019992994224162728, + "loss": 1.3346, + "step": 94 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019992445023927396, + "loss": 1.125, + "step": 95 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001999187510978872, + "loss": 1.3414, + "step": 96 + }, + { + "epoch": 0.13, + "learning_rate": 0.000199912844829281, + "loss": 1.0922, + "step": 97 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019990673144569892, + "loss": 1.1706, + "step": 98 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019990041095981363, + "loss": 1.2406, + "step": 99 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001998938833847273, + "loss": 1.348, + "step": 100 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019988714873397128, + "loss": 1.1514, + "step": 101 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019988020702150618, + "loss": 1.2221, + "step": 102 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019987305826172193, + "loss": 1.328, + "step": 103 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019986570246943754, + "loss": 1.216, + "step": 104 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001998581396599013, + "loss": 1.3349, + "step": 105 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019985036984879052, + "loss": 1.5557, + "step": 106 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001998423930522117, + "loss": 1.2588, + "step": 107 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019983420928670044, + "loss": 1.1504, + "step": 108 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019982581856922127, + "loss": 1.227, + "step": 109 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019981722091716783, + "loss": 1.314, + "step": 110 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019980841634836266, + "loss": 1.2199, + "step": 111 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019979940488105722, + "loss": 1.4525, + "step": 112 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019979018653393192, + "loss": 1.2992, + "step": 113 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019978076132609599, + "loss": 1.126, + "step": 114 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019977112927708744, + "loss": 1.0355, + "step": 115 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019976129040687318, + "loss": 1.2737, + "step": 116 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019975124473584863, + "loss": 1.3793, + "step": 117 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001997409922848381, + "loss": 1.0846, + "step": 118 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019973053307509452, + "loss": 1.1315, + "step": 119 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019971986712829932, + "loss": 1.2724, + "step": 120 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019970899446656253, + "loss": 1.0398, + "step": 121 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001996979151124227, + "loss": 1.2935, + "step": 122 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019968662908884693, + "loss": 1.1611, + "step": 123 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019967513641923056, + "loss": 1.3912, + "step": 124 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019966343712739742, + "loss": 1.2514, + "step": 125 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019965153123759966, + "loss": 1.1017, + "step": 126 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019963941877451763, + "loss": 1.1546, + "step": 127 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019962709976326, + "loss": 1.2507, + "step": 128 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019961457422936353, + "loss": 1.5428, + "step": 129 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019960184219879303, + "loss": 1.3692, + "step": 130 + }, + { + "epoch": 0.17, + "learning_rate": 0.0001995889036979415, + "loss": 1.2622, + "step": 131 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019957575875362993, + "loss": 1.4149, + "step": 132 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019956240739310715, + "loss": 1.6812, + "step": 133 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019954884964404996, + "loss": 1.1218, + "step": 134 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019953508553456303, + "loss": 1.0271, + "step": 135 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001995211150931787, + "loss": 1.0883, + "step": 136 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001995069383488571, + "loss": 1.2352, + "step": 137 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019949255533098604, + "loss": 1.091, + "step": 138 + }, + { + "epoch": 0.19, + "learning_rate": 0.00019947796606938084, + "loss": 1.1082, + "step": 139 + }, + { + "epoch": 0.19, + "learning_rate": 0.00019946317059428448, + "loss": 1.3496, + "step": 140 + }, + { + "epoch": 0.19, + "learning_rate": 0.00019944816893636725, + "loss": 1.1616, + "step": 141 + }, + { + "epoch": 0.19, + "learning_rate": 0.00019943296112672696, + "loss": 1.3368, + "step": 142 + }, + { + "epoch": 0.19, + "learning_rate": 0.00019941754719688873, + "loss": 1.4931, + "step": 143 + }, + { + "epoch": 0.19, + "learning_rate": 0.00019940192717880502, + "loss": 1.3244, + "step": 144 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001993861011048554, + "loss": 1.343, + "step": 145 + }, + { + "epoch": 0.19, + "learning_rate": 0.00019937006900784665, + "loss": 1.2344, + "step": 146 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019935383092101257, + "loss": 1.3948, + "step": 147 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019933738687801403, + "loss": 1.2921, + "step": 148 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019932073691293886, + "loss": 1.278, + "step": 149 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019930388106030166, + "loss": 1.4108, + "step": 150 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001992868193550439, + "loss": 1.2094, + "step": 151 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019926955183253374, + "loss": 1.2681, + "step": 152 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019925207852856597, + "loss": 1.374, + "step": 153 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019923439947936204, + "loss": 1.1233, + "step": 154 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019921651472156986, + "loss": 1.2079, + "step": 155 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019919842429226372, + "loss": 1.3164, + "step": 156 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019918012822894428, + "loss": 1.1898, + "step": 157 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001991616265695385, + "loss": 1.2872, + "step": 158 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019914291935239952, + "loss": 1.3129, + "step": 159 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019912400661630658, + "loss": 1.4318, + "step": 160 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019910488840046498, + "loss": 1.2104, + "step": 161 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019908556474450593, + "loss": 1.6828, + "step": 162 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001990660356884865, + "loss": 1.3609, + "step": 163 + }, + { + "epoch": 0.22, + "learning_rate": 0.0001990463012728896, + "loss": 1.3114, + "step": 164 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019902636153862382, + "loss": 1.4224, + "step": 165 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019900621652702336, + "loss": 1.0479, + "step": 166 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019898586627984795, + "loss": 1.2699, + "step": 167 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019896531083928273, + "loss": 1.3086, + "step": 168 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001989445502479383, + "loss": 1.2605, + "step": 169 + }, + { + "epoch": 0.23, + "learning_rate": 0.00019892358454885042, + "loss": 1.1689, + "step": 170 + }, + { + "epoch": 0.23, + "learning_rate": 0.00019890241378548007, + "loss": 1.2177, + "step": 171 + }, + { + "epoch": 0.23, + "learning_rate": 0.00019888103800171333, + "loss": 1.184, + "step": 172 + }, + { + "epoch": 0.23, + "learning_rate": 0.00019885945724186125, + "loss": 1.2892, + "step": 173 + }, + { + "epoch": 0.23, + "learning_rate": 0.00019883767155065986, + "loss": 1.3962, + "step": 174 + }, + { + "epoch": 0.23, + "learning_rate": 0.00019881568097326988, + "loss": 1.2394, + "step": 175 + }, + { + "epoch": 0.23, + "learning_rate": 0.00019879348555527687, + "loss": 1.2743, + "step": 176 + }, + { + "epoch": 0.24, + "learning_rate": 0.00019877108534269093, + "loss": 1.1979, + "step": 177 + }, + { + "epoch": 0.24, + "learning_rate": 0.00019874848038194673, + "loss": 1.1101, + "step": 178 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001987256707199034, + "loss": 1.2632, + "step": 179 + }, + { + "epoch": 0.24, + "learning_rate": 0.00019870265640384435, + "loss": 1.0411, + "step": 180 + }, + { + "epoch": 0.24, + "learning_rate": 0.00019867943748147726, + "loss": 1.1618, + "step": 181 + }, + { + "epoch": 0.24, + "learning_rate": 0.00019865601400093395, + "loss": 1.2277, + "step": 182 + }, + { + "epoch": 0.24, + "learning_rate": 0.00019863238601077024, + "loss": 1.222, + "step": 183 + }, + { + "epoch": 0.25, + "learning_rate": 0.000198608553559966, + "loss": 1.2081, + "step": 184 + }, + { + "epoch": 0.25, + "learning_rate": 0.00019858451669792478, + "loss": 1.109, + "step": 185 + }, + { + "epoch": 0.25, + "learning_rate": 0.000198560275474474, + "loss": 1.2588, + "step": 186 + }, + { + "epoch": 0.25, + "learning_rate": 0.00019853582993986467, + "loss": 1.3575, + "step": 187 + }, + { + "epoch": 0.25, + "learning_rate": 0.00019851118014477126, + "loss": 1.3443, + "step": 188 + }, + { + "epoch": 0.25, + "learning_rate": 0.00019848632614029174, + "loss": 1.2647, + "step": 189 + }, + { + "epoch": 0.25, + "learning_rate": 0.00019846126797794743, + "loss": 1.5478, + "step": 190 + }, + { + "epoch": 0.25, + "learning_rate": 0.00019843600570968275, + "loss": 1.6041, + "step": 191 + }, + { + "epoch": 0.26, + "learning_rate": 0.00019841053938786534, + "loss": 1.418, + "step": 192 + }, + { + "epoch": 0.26, + "learning_rate": 0.00019838486906528574, + "loss": 1.3145, + "step": 193 + }, + { + "epoch": 0.26, + "learning_rate": 0.00019835899479515737, + "loss": 1.2885, + "step": 194 + }, + { + "epoch": 0.26, + "learning_rate": 0.00019833291663111653, + "loss": 1.1609, + "step": 195 + }, + { + "epoch": 0.26, + "learning_rate": 0.00019830663462722207, + "loss": 1.203, + "step": 196 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001982801488379555, + "loss": 1.2469, + "step": 197 + }, + { + "epoch": 0.26, + "learning_rate": 0.00019825345931822068, + "loss": 1.2714, + "step": 198 + }, + { + "epoch": 0.27, + "learning_rate": 0.0001982265661233438, + "loss": 1.2025, + "step": 199 + }, + { + "epoch": 0.27, + "learning_rate": 0.00019819946930907332, + "loss": 1.2784, + "step": 200 + }, + { + "epoch": 0.27, + "learning_rate": 0.00019817216893157968, + "loss": 1.2476, + "step": 201 + }, + { + "epoch": 0.27, + "learning_rate": 0.00019814466504745548, + "loss": 1.2354, + "step": 202 + }, + { + "epoch": 0.27, + "learning_rate": 0.000198116957713715, + "loss": 1.2886, + "step": 203 + }, + { + "epoch": 0.27, + "learning_rate": 0.00019808904698779433, + "loss": 1.1855, + "step": 204 + }, + { + "epoch": 0.27, + "learning_rate": 0.00019806093292755125, + "loss": 1.4307, + "step": 205 + }, + { + "epoch": 0.27, + "learning_rate": 0.00019803261559126492, + "loss": 1.4193, + "step": 206 + }, + { + "epoch": 0.28, + "learning_rate": 0.00019800409503763602, + "loss": 1.191, + "step": 207 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001979753713257863, + "loss": 1.1737, + "step": 208 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001979464445152589, + "loss": 1.243, + "step": 209 + }, + { + "epoch": 0.28, + "learning_rate": 0.00019791731466601773, + "loss": 1.3641, + "step": 210 + }, + { + "epoch": 0.28, + "learning_rate": 0.00019788798183844775, + "loss": 1.2523, + "step": 211 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001978584460933546, + "loss": 1.2865, + "step": 212 + }, + { + "epoch": 0.28, + "learning_rate": 0.00019782870749196466, + "loss": 1.2455, + "step": 213 + }, + { + "epoch": 0.29, + "learning_rate": 0.00019779876609592471, + "loss": 1.4786, + "step": 214 + }, + { + "epoch": 0.29, + "learning_rate": 0.00019776862196730193, + "loss": 1.1267, + "step": 215 + }, + { + "epoch": 0.29, + "learning_rate": 0.00019773827516858386, + "loss": 1.1323, + "step": 216 + }, + { + "epoch": 0.29, + "learning_rate": 0.000197707725762678, + "loss": 1.2483, + "step": 217 + }, + { + "epoch": 0.29, + "learning_rate": 0.00019767697381291202, + "loss": 1.2256, + "step": 218 + }, + { + "epoch": 0.29, + "learning_rate": 0.00019764601938303334, + "loss": 1.3446, + "step": 219 + }, + { + "epoch": 0.29, + "learning_rate": 0.00019761486253720915, + "loss": 1.3073, + "step": 220 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001975835033400262, + "loss": 1.1838, + "step": 221 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001975519418564908, + "loss": 1.3249, + "step": 222 + }, + { + "epoch": 0.3, + "learning_rate": 0.00019752017815202847, + "loss": 1.1298, + "step": 223 + }, + { + "epoch": 0.3, + "learning_rate": 0.00019748821229248405, + "loss": 1.2469, + "step": 224 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001974560443441213, + "loss": 1.2255, + "step": 225 + }, + { + "epoch": 0.3, + "learning_rate": 0.00019742367437362306, + "loss": 1.258, + "step": 226 + }, + { + "epoch": 0.3, + "learning_rate": 0.00019739110244809083, + "loss": 1.2485, + "step": 227 + }, + { + "epoch": 0.3, + "learning_rate": 0.00019735832863504476, + "loss": 1.3442, + "step": 228 + }, + { + "epoch": 0.31, + "learning_rate": 0.00019732535300242358, + "loss": 1.2349, + "step": 229 + }, + { + "epoch": 0.31, + "learning_rate": 0.00019729217561858433, + "loss": 1.2588, + "step": 230 + }, + { + "epoch": 0.31, + "learning_rate": 0.00019725879655230227, + "loss": 1.4712, + "step": 231 + }, + { + "epoch": 0.31, + "learning_rate": 0.00019722521587277076, + "loss": 1.2458, + "step": 232 + }, + { + "epoch": 0.31, + "learning_rate": 0.00019719143364960105, + "loss": 1.1906, + "step": 233 + }, + { + "epoch": 0.31, + "learning_rate": 0.00019715744995282234, + "loss": 1.1116, + "step": 234 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001971232648528812, + "loss": 1.1613, + "step": 235 + }, + { + "epoch": 0.31, + "learning_rate": 0.00019708887842064194, + "loss": 1.0521, + "step": 236 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001970542907273861, + "loss": 1.2548, + "step": 237 + }, + { + "epoch": 0.32, + "learning_rate": 0.0001970195018448125, + "loss": 1.2323, + "step": 238 + }, + { + "epoch": 0.32, + "learning_rate": 0.00019698451184503693, + "loss": 1.4259, + "step": 239 + }, + { + "epoch": 0.32, + "learning_rate": 0.00019694932080059217, + "loss": 1.1325, + "step": 240 + }, + { + "epoch": 0.32, + "learning_rate": 0.00019691392878442776, + "loss": 1.3215, + "step": 241 + }, + { + "epoch": 0.32, + "learning_rate": 0.00019687833586990973, + "loss": 1.2291, + "step": 242 + }, + { + "epoch": 0.32, + "learning_rate": 0.00019684254213082065, + "loss": 1.2551, + "step": 243 + }, + { + "epoch": 0.33, + "learning_rate": 0.00019680654764135945, + "loss": 1.292, + "step": 244 + }, + { + "epoch": 0.33, + "learning_rate": 0.00019677035247614105, + "loss": 1.2922, + "step": 245 + }, + { + "epoch": 0.33, + "learning_rate": 0.00019673395671019654, + "loss": 1.0648, + "step": 246 + }, + { + "epoch": 0.33, + "learning_rate": 0.00019669736041897268, + "loss": 1.2305, + "step": 247 + }, + { + "epoch": 0.33, + "learning_rate": 0.00019666056367833204, + "loss": 1.0777, + "step": 248 + }, + { + "epoch": 0.33, + "learning_rate": 0.00019662356656455264, + "loss": 1.1057, + "step": 249 + }, + { + "epoch": 0.33, + "learning_rate": 0.00019658636915432788, + "loss": 1.3594, + "step": 250 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001965489715247664, + "loss": 1.2858, + "step": 251 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001965113737533918, + "loss": 1.2562, + "step": 252 + }, + { + "epoch": 0.34, + "learning_rate": 0.00019647357591814273, + "loss": 1.075, + "step": 253 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001964355780973723, + "loss": 1.1668, + "step": 254 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001963973803698485, + "loss": 1.1547, + "step": 255 + }, + { + "epoch": 0.34, + "learning_rate": 0.00019635898281475346, + "loss": 1.1131, + "step": 256 + }, + { + "epoch": 0.34, + "learning_rate": 0.0001963203855116836, + "loss": 1.3103, + "step": 257 + }, + { + "epoch": 0.34, + "learning_rate": 0.00019628158854064956, + "loss": 1.2497, + "step": 258 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001962425919820757, + "loss": 1.15, + "step": 259 + }, + { + "epoch": 0.35, + "learning_rate": 0.00019620339591680023, + "loss": 1.2833, + "step": 260 + }, + { + "epoch": 0.35, + "learning_rate": 0.00019616400042607487, + "loss": 1.0163, + "step": 261 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001961244055915647, + "loss": 1.2938, + "step": 262 + }, + { + "epoch": 0.35, + "learning_rate": 0.00019608461149534816, + "loss": 1.0977, + "step": 263 + }, + { + "epoch": 0.35, + "learning_rate": 0.00019604461821991667, + "loss": 0.9078, + "step": 264 + }, + { + "epoch": 0.35, + "learning_rate": 0.00019600442584817454, + "loss": 1.1471, + "step": 265 + }, + { + "epoch": 0.35, + "learning_rate": 0.00019596403446343877, + "loss": 1.5221, + "step": 266 + }, + { + "epoch": 0.36, + "learning_rate": 0.00019592344414943896, + "loss": 1.3637, + "step": 267 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001958826549903171, + "loss": 1.1906, + "step": 268 + }, + { + "epoch": 0.36, + "learning_rate": 0.0001958416670706273, + "loss": 1.0934, + "step": 269 + }, + { + "epoch": 0.36, + "learning_rate": 0.00019580048047533578, + "loss": 1.2012, + "step": 270 + }, + { + "epoch": 0.36, + "learning_rate": 0.00019575909528982046, + "loss": 1.2908, + "step": 271 + }, + { + "epoch": 0.36, + "learning_rate": 0.00019571751159987115, + "loss": 1.2466, + "step": 272 + }, + { + "epoch": 0.36, + "learning_rate": 0.00019567572949168892, + "loss": 0.9926, + "step": 273 + }, + { + "epoch": 0.37, + "learning_rate": 0.00019563374905188637, + "loss": 1.2018, + "step": 274 + }, + { + "epoch": 0.37, + "learning_rate": 0.000195591570367487, + "loss": 1.2056, + "step": 275 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001955491935259255, + "loss": 1.2208, + "step": 276 + }, + { + "epoch": 0.37, + "learning_rate": 0.00019550661861504715, + "loss": 1.233, + "step": 277 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001954638457231079, + "loss": 1.2352, + "step": 278 + }, + { + "epoch": 0.37, + "learning_rate": 0.00019542087493877412, + "loss": 1.2703, + "step": 279 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001953777063511223, + "loss": 1.1301, + "step": 280 + }, + { + "epoch": 0.37, + "learning_rate": 0.00019533434004963913, + "loss": 1.3666, + "step": 281 + }, + { + "epoch": 0.38, + "learning_rate": 0.00019529077612422103, + "loss": 1.4975, + "step": 282 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001952470146651741, + "loss": 1.2801, + "step": 283 + }, + { + "epoch": 0.38, + "learning_rate": 0.00019520305576321395, + "loss": 1.2487, + "step": 284 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001951588995094655, + "loss": 1.2448, + "step": 285 + }, + { + "epoch": 0.38, + "learning_rate": 0.00019511454599546268, + "loss": 1.3375, + "step": 286 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001950699953131484, + "loss": 1.4203, + "step": 287 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001950252475548744, + "loss": 1.3922, + "step": 288 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001949803028134007, + "loss": 1.0548, + "step": 289 + }, + { + "epoch": 0.39, + "learning_rate": 0.00019493516118189582, + "loss": 1.1612, + "step": 290 + }, + { + "epoch": 0.39, + "learning_rate": 0.00019488982275393642, + "loss": 1.2329, + "step": 291 + }, + { + "epoch": 0.39, + "learning_rate": 0.00019484428762350708, + "loss": 1.4126, + "step": 292 + }, + { + "epoch": 0.39, + "learning_rate": 0.00019479855588500015, + "loss": 1.2791, + "step": 293 + }, + { + "epoch": 0.39, + "learning_rate": 0.00019475262763321552, + "loss": 1.2292, + "step": 294 + }, + { + "epoch": 0.39, + "learning_rate": 0.00019470650296336047, + "loss": 1.3843, + "step": 295 + }, + { + "epoch": 0.39, + "learning_rate": 0.00019466018197104946, + "loss": 1.1819, + "step": 296 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001946136647523038, + "loss": 1.2131, + "step": 297 + }, + { + "epoch": 0.4, + "learning_rate": 0.00019456695140355172, + "loss": 1.3227, + "step": 298 + }, + { + "epoch": 0.4, + "learning_rate": 0.00019452004202162796, + "loss": 1.1234, + "step": 299 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001944729367037736, + "loss": 1.1919, + "step": 300 + }, + { + "epoch": 0.4, + "learning_rate": 0.00019442563554763594, + "loss": 1.1428, + "step": 301 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001943781386512682, + "loss": 1.2858, + "step": 302 + }, + { + "epoch": 0.4, + "learning_rate": 0.00019433044611312937, + "loss": 1.1808, + "step": 303 + }, + { + "epoch": 0.41, + "learning_rate": 0.000194282558032084, + "loss": 1.2501, + "step": 304 + }, + { + "epoch": 0.41, + "learning_rate": 0.000194234474507402, + "loss": 1.6441, + "step": 305 + }, + { + "epoch": 0.41, + "learning_rate": 0.0001941861956387585, + "loss": 1.0559, + "step": 306 + }, + { + "epoch": 0.41, + "learning_rate": 0.00019413772152623336, + "loss": 1.1148, + "step": 307 + }, + { + "epoch": 0.41, + "learning_rate": 0.00019408905227031142, + "loss": 1.3489, + "step": 308 + }, + { + "epoch": 0.41, + "learning_rate": 0.00019404018797188183, + "loss": 1.2785, + "step": 309 + }, + { + "epoch": 0.41, + "learning_rate": 0.00019399112873223824, + "loss": 1.0916, + "step": 310 + }, + { + "epoch": 0.41, + "learning_rate": 0.00019394187465307828, + "loss": 1.0787, + "step": 311 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001938924258365035, + "loss": 1.1702, + "step": 312 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001938427823850191, + "loss": 1.2588, + "step": 313 + }, + { + "epoch": 0.42, + "learning_rate": 0.00019379294440153392, + "loss": 1.1058, + "step": 314 + }, + { + "epoch": 0.42, + "learning_rate": 0.00019374291198935982, + "loss": 1.2069, + "step": 315 + }, + { + "epoch": 0.42, + "learning_rate": 0.00019369268525221185, + "loss": 1.343, + "step": 316 + }, + { + "epoch": 0.42, + "learning_rate": 0.00019364226429420783, + "loss": 1.3341, + "step": 317 + }, + { + "epoch": 0.42, + "learning_rate": 0.00019359164921986825, + "loss": 1.0451, + "step": 318 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001935408401341159, + "loss": 1.0893, + "step": 319 + }, + { + "epoch": 0.43, + "learning_rate": 0.00019348983714227583, + "loss": 1.2213, + "step": 320 + }, + { + "epoch": 0.43, + "learning_rate": 0.00019343864035007506, + "loss": 1.3557, + "step": 321 + }, + { + "epoch": 0.43, + "learning_rate": 0.00019338724986364222, + "loss": 1.1327, + "step": 322 + }, + { + "epoch": 0.43, + "learning_rate": 0.00019333566578950764, + "loss": 0.999, + "step": 323 + }, + { + "epoch": 0.43, + "learning_rate": 0.00019328388823460283, + "loss": 1.5289, + "step": 324 + }, + { + "epoch": 0.43, + "learning_rate": 0.00019323191730626036, + "loss": 1.1509, + "step": 325 + }, + { + "epoch": 0.43, + "learning_rate": 0.00019317975311221373, + "loss": 1.2142, + "step": 326 + }, + { + "epoch": 0.44, + "learning_rate": 0.00019312739576059711, + "loss": 1.2386, + "step": 327 + }, + { + "epoch": 0.44, + "learning_rate": 0.00019307484535994492, + "loss": 1.1913, + "step": 328 + }, + { + "epoch": 0.44, + "learning_rate": 0.00019302210201919186, + "loss": 1.2473, + "step": 329 + }, + { + "epoch": 0.44, + "learning_rate": 0.00019296916584767262, + "loss": 1.2853, + "step": 330 + }, + { + "epoch": 0.44, + "learning_rate": 0.00019291603695512156, + "loss": 1.309, + "step": 331 + }, + { + "epoch": 0.44, + "learning_rate": 0.00019286271545167254, + "loss": 1.1103, + "step": 332 + }, + { + "epoch": 0.44, + "learning_rate": 0.00019280920144785878, + "loss": 1.2968, + "step": 333 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001927554950546124, + "loss": 1.1975, + "step": 334 + }, + { + "epoch": 0.45, + "learning_rate": 0.00019270159638326443, + "loss": 1.3768, + "step": 335 + }, + { + "epoch": 0.45, + "learning_rate": 0.00019264750554554453, + "loss": 1.3442, + "step": 336 + }, + { + "epoch": 0.45, + "learning_rate": 0.00019259322265358057, + "loss": 1.337, + "step": 337 + }, + { + "epoch": 0.45, + "learning_rate": 0.00019253874781989864, + "loss": 1.0822, + "step": 338 + }, + { + "epoch": 0.45, + "learning_rate": 0.00019248408115742275, + "loss": 1.2629, + "step": 339 + }, + { + "epoch": 0.45, + "learning_rate": 0.00019242922277947448, + "loss": 1.1279, + "step": 340 + }, + { + "epoch": 0.45, + "learning_rate": 0.00019237417279977285, + "loss": 1.3107, + "step": 341 + }, + { + "epoch": 0.46, + "learning_rate": 0.00019231893133243405, + "loss": 1.242, + "step": 342 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001922634984919713, + "loss": 1.3852, + "step": 343 + }, + { + "epoch": 0.46, + "learning_rate": 0.00019220787439329438, + "loss": 1.0776, + "step": 344 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001921520591517097, + "loss": 1.2565, + "step": 345 + }, + { + "epoch": 0.46, + "learning_rate": 0.00019209605288291978, + "loss": 1.2397, + "step": 346 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001920398557030232, + "loss": 1.3005, + "step": 347 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001919834677285142, + "loss": 1.1842, + "step": 348 + }, + { + "epoch": 0.47, + "learning_rate": 0.00019192688907628273, + "loss": 1.2918, + "step": 349 + }, + { + "epoch": 0.47, + "learning_rate": 0.00019187011986361374, + "loss": 1.1246, + "step": 350 + }, + { + "epoch": 0.47, + "learning_rate": 0.00019181316020818742, + "loss": 1.333, + "step": 351 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001917560102280786, + "loss": 1.1095, + "step": 352 + }, + { + "epoch": 0.47, + "learning_rate": 0.00019169867004175675, + "loss": 1.1898, + "step": 353 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001916411397680855, + "loss": 1.2508, + "step": 354 + }, + { + "epoch": 0.47, + "learning_rate": 0.00019158341952632272, + "loss": 1.0398, + "step": 355 + }, + { + "epoch": 0.47, + "learning_rate": 0.00019152550943611987, + "loss": 1.2314, + "step": 356 + }, + { + "epoch": 0.48, + "learning_rate": 0.00019146740961752202, + "loss": 1.2817, + "step": 357 + }, + { + "epoch": 0.48, + "learning_rate": 0.00019140912019096766, + "loss": 1.1854, + "step": 358 + }, + { + "epoch": 0.48, + "learning_rate": 0.00019135064127728818, + "loss": 1.0569, + "step": 359 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001912919729977078, + "loss": 1.3705, + "step": 360 + }, + { + "epoch": 0.48, + "learning_rate": 0.00019123311547384331, + "loss": 1.1581, + "step": 361 + }, + { + "epoch": 0.48, + "learning_rate": 0.00019117406882770388, + "loss": 1.0548, + "step": 362 + }, + { + "epoch": 0.48, + "learning_rate": 0.00019111483318169054, + "loss": 1.3073, + "step": 363 + }, + { + "epoch": 0.49, + "learning_rate": 0.00019105540865859623, + "loss": 1.1966, + "step": 364 + }, + { + "epoch": 0.49, + "learning_rate": 0.00019099579538160542, + "loss": 1.1336, + "step": 365 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001909359934742938, + "loss": 1.1724, + "step": 366 + }, + { + "epoch": 0.49, + "learning_rate": 0.00019087600306062817, + "loss": 1.239, + "step": 367 + }, + { + "epoch": 0.49, + "learning_rate": 0.00019081582426496598, + "loss": 1.0797, + "step": 368 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001907554572120553, + "loss": 1.3036, + "step": 369 + }, + { + "epoch": 0.49, + "learning_rate": 0.00019069490202703438, + "loss": 1.2149, + "step": 370 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001906341588354315, + "loss": 1.281, + "step": 371 + }, + { + "epoch": 0.5, + "learning_rate": 0.00019057322776316467, + "loss": 1.2726, + "step": 372 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001905121089365413, + "loss": 1.2523, + "step": 373 + }, + { + "epoch": 0.5, + "learning_rate": 0.00019045080248225805, + "loss": 1.1704, + "step": 374 + }, + { + "epoch": 0.5, + "learning_rate": 0.00019038930852740058, + "loss": 1.1653, + "step": 375 + }, + { + "epoch": 0.5, + "learning_rate": 0.00019032762719944316, + "loss": 1.1893, + "step": 376 + }, + { + "epoch": 0.5, + "learning_rate": 0.00019026575862624844, + "loss": 1.2504, + "step": 377 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001902037029360674, + "loss": 1.3984, + "step": 378 + }, + { + "epoch": 0.51, + "learning_rate": 0.0001901414602575387, + "loss": 1.2521, + "step": 379 + }, + { + "epoch": 0.51, + "learning_rate": 0.00019007903071968868, + "loss": 1.2099, + "step": 380 + }, + { + "epoch": 0.51, + "learning_rate": 0.0001900164144519311, + "loss": 1.0739, + "step": 381 + }, + { + "epoch": 0.51, + "learning_rate": 0.00018995361158406676, + "loss": 1.2888, + "step": 382 + }, + { + "epoch": 0.51, + "learning_rate": 0.00018989062224628324, + "loss": 1.2413, + "step": 383 + }, + { + "epoch": 0.51, + "learning_rate": 0.00018982744656915475, + "loss": 1.2772, + "step": 384 + }, + { + "epoch": 0.51, + "learning_rate": 0.00018976408468364162, + "loss": 1.0562, + "step": 385 + }, + { + "epoch": 0.51, + "learning_rate": 0.00018970053672109037, + "loss": 1.2799, + "step": 386 + }, + { + "epoch": 0.52, + "learning_rate": 0.0001896368028132331, + "loss": 1.2495, + "step": 387 + }, + { + "epoch": 0.52, + "learning_rate": 0.00018957288309218745, + "loss": 1.1946, + "step": 388 + }, + { + "epoch": 0.52, + "learning_rate": 0.00018950877769045624, + "loss": 1.1901, + "step": 389 + }, + { + "epoch": 0.52, + "learning_rate": 0.00018944448674092714, + "loss": 1.0915, + "step": 390 + }, + { + "epoch": 0.52, + "learning_rate": 0.0001893800103768725, + "loss": 1.3027, + "step": 391 + }, + { + "epoch": 0.52, + "learning_rate": 0.000189315348731949, + "loss": 1.4335, + "step": 392 + }, + { + "epoch": 0.52, + "learning_rate": 0.00018925050194019746, + "loss": 1.094, + "step": 393 + }, + { + "epoch": 0.53, + "learning_rate": 0.0001891854701360424, + "loss": 1.26, + "step": 394 + }, + { + "epoch": 0.53, + "learning_rate": 0.00018912025345429196, + "loss": 1.1428, + "step": 395 + }, + { + "epoch": 0.53, + "learning_rate": 0.00018905485203013744, + "loss": 1.1153, + "step": 396 + }, + { + "epoch": 0.53, + "learning_rate": 0.00018898926599915318, + "loss": 1.39, + "step": 397 + }, + { + "epoch": 0.53, + "learning_rate": 0.00018892349549729615, + "loss": 1.3712, + "step": 398 + }, + { + "epoch": 0.53, + "learning_rate": 0.00018885754066090576, + "loss": 1.1251, + "step": 399 + }, + { + "epoch": 0.53, + "learning_rate": 0.00018879140162670347, + "loss": 1.5685, + "step": 400 + }, + { + "epoch": 0.53, + "learning_rate": 0.00018872507853179263, + "loss": 1.249, + "step": 401 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018865857151365814, + "loss": 1.1222, + "step": 402 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018859188071016617, + "loss": 1.346, + "step": 403 + }, + { + "epoch": 0.54, + "learning_rate": 0.0001885250062595638, + "loss": 1.2928, + "step": 404 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018845794830047892, + "loss": 1.0523, + "step": 405 + }, + { + "epoch": 0.54, + "learning_rate": 0.0001883907069719197, + "loss": 1.124, + "step": 406 + }, + { + "epoch": 0.54, + "learning_rate": 0.0001883232824132745, + "loss": 1.1903, + "step": 407 + }, + { + "epoch": 0.54, + "learning_rate": 0.0001882556747643115, + "loss": 1.2598, + "step": 408 + }, + { + "epoch": 0.55, + "learning_rate": 0.00018818788416517844, + "loss": 1.1623, + "step": 409 + }, + { + "epoch": 0.55, + "learning_rate": 0.00018811991075640223, + "loss": 1.2127, + "step": 410 + }, + { + "epoch": 0.55, + "learning_rate": 0.0001880517546788888, + "loss": 1.4151, + "step": 411 + }, + { + "epoch": 0.55, + "learning_rate": 0.00018798341607392276, + "loss": 1.2056, + "step": 412 + }, + { + "epoch": 0.55, + "learning_rate": 0.00018791489508316703, + "loss": 1.0462, + "step": 413 + }, + { + "epoch": 0.55, + "learning_rate": 0.00018784619184866267, + "loss": 1.2483, + "step": 414 + }, + { + "epoch": 0.55, + "learning_rate": 0.00018777730651282847, + "loss": 1.3236, + "step": 415 + }, + { + "epoch": 0.55, + "learning_rate": 0.0001877082392184607, + "loss": 1.1879, + "step": 416 + }, + { + "epoch": 0.56, + "learning_rate": 0.0001876389901087329, + "loss": 1.1049, + "step": 417 + }, + { + "epoch": 0.56, + "learning_rate": 0.00018756955932719546, + "loss": 1.0995, + "step": 418 + }, + { + "epoch": 0.56, + "learning_rate": 0.00018749994701777536, + "loss": 1.063, + "step": 419 + }, + { + "epoch": 0.56, + "learning_rate": 0.00018743015332477588, + "loss": 1.1434, + "step": 420 + }, + { + "epoch": 0.56, + "learning_rate": 0.00018736017839287629, + "loss": 1.2464, + "step": 421 + }, + { + "epoch": 0.56, + "learning_rate": 0.0001872900223671316, + "loss": 1.1707, + "step": 422 + }, + { + "epoch": 0.56, + "learning_rate": 0.00018721968539297217, + "loss": 1.2639, + "step": 423 + }, + { + "epoch": 0.57, + "learning_rate": 0.0001871491676162035, + "loss": 1.2609, + "step": 424 + }, + { + "epoch": 0.57, + "learning_rate": 0.0001870784691830059, + "loss": 1.1206, + "step": 425 + }, + { + "epoch": 0.57, + "learning_rate": 0.0001870075902399341, + "loss": 1.1779, + "step": 426 + }, + { + "epoch": 0.57, + "learning_rate": 0.00018693653093391704, + "loss": 1.2995, + "step": 427 + }, + { + "epoch": 0.57, + "learning_rate": 0.00018686529141225767, + "loss": 1.0957, + "step": 428 + }, + { + "epoch": 0.57, + "learning_rate": 0.0001867938718226323, + "loss": 0.993, + "step": 429 + }, + { + "epoch": 0.57, + "learning_rate": 0.00018672227231309068, + "loss": 1.2656, + "step": 430 + }, + { + "epoch": 0.57, + "learning_rate": 0.00018665049303205549, + "loss": 1.3583, + "step": 431 + }, + { + "epoch": 0.58, + "learning_rate": 0.00018657853412832202, + "loss": 1.1753, + "step": 432 + }, + { + "epoch": 0.58, + "learning_rate": 0.00018650639575105798, + "loss": 1.0839, + "step": 433 + }, + { + "epoch": 0.58, + "learning_rate": 0.00018643407804980303, + "loss": 1.0579, + "step": 434 + }, + { + "epoch": 0.58, + "learning_rate": 0.0001863615811744687, + "loss": 1.1339, + "step": 435 + }, + { + "epoch": 0.58, + "learning_rate": 0.00018628890527533777, + "loss": 1.5151, + "step": 436 + }, + { + "epoch": 0.58, + "learning_rate": 0.00018621605050306422, + "loss": 1.1033, + "step": 437 + }, + { + "epoch": 0.58, + "learning_rate": 0.00018614301700867287, + "loss": 1.2376, + "step": 438 + }, + { + "epoch": 0.59, + "learning_rate": 0.00018606980494355896, + "loss": 1.2995, + "step": 439 + }, + { + "epoch": 0.59, + "learning_rate": 0.0001859964144594879, + "loss": 1.1819, + "step": 440 + }, + { + "epoch": 0.59, + "learning_rate": 0.00018592284570859496, + "loss": 1.2063, + "step": 441 + }, + { + "epoch": 0.59, + "learning_rate": 0.000185849098843385, + "loss": 1.2484, + "step": 442 + }, + { + "epoch": 0.59, + "learning_rate": 0.000185775174016732, + "loss": 1.0711, + "step": 443 + }, + { + "epoch": 0.59, + "learning_rate": 0.00018570107138187893, + "loss": 1.1875, + "step": 444 + }, + { + "epoch": 0.59, + "learning_rate": 0.00018562679109243731, + "loss": 1.4785, + "step": 445 + }, + { + "epoch": 0.59, + "learning_rate": 0.000185552333302387, + "loss": 1.4187, + "step": 446 + }, + { + "epoch": 0.6, + "learning_rate": 0.0001854776981660757, + "loss": 1.1621, + "step": 447 + }, + { + "epoch": 0.6, + "learning_rate": 0.00018540288583821882, + "loss": 1.1524, + "step": 448 + }, + { + "epoch": 0.6, + "learning_rate": 0.00018532789647389904, + "loss": 1.2599, + "step": 449 + }, + { + "epoch": 0.6, + "learning_rate": 0.00018525273022856607, + "loss": 1.097, + "step": 450 + }, + { + "epoch": 0.6, + "learning_rate": 0.00018517738725803626, + "loss": 1.2165, + "step": 451 + }, + { + "epoch": 0.6, + "learning_rate": 0.0001851018677184923, + "loss": 1.2315, + "step": 452 + }, + { + "epoch": 0.6, + "learning_rate": 0.0001850261717664829, + "loss": 0.9369, + "step": 453 + }, + { + "epoch": 0.61, + "learning_rate": 0.00018495029955892248, + "loss": 1.2465, + "step": 454 + }, + { + "epoch": 0.61, + "learning_rate": 0.00018487425125309078, + "loss": 1.2831, + "step": 455 + }, + { + "epoch": 0.61, + "learning_rate": 0.00018479802700663268, + "loss": 1.2577, + "step": 456 + }, + { + "epoch": 0.61, + "learning_rate": 0.00018472162697755776, + "loss": 1.1233, + "step": 457 + }, + { + "epoch": 0.61, + "learning_rate": 0.00018464505132423983, + "loss": 1.203, + "step": 458 + }, + { + "epoch": 0.61, + "learning_rate": 0.000184568300205417, + "loss": 1.1508, + "step": 459 + }, + { + "epoch": 0.61, + "learning_rate": 0.00018449137378019094, + "loss": 1.1357, + "step": 460 + }, + { + "epoch": 0.61, + "learning_rate": 0.0001844142722080268, + "loss": 1.2458, + "step": 461 + }, + { + "epoch": 0.62, + "learning_rate": 0.00018433699564875274, + "loss": 1.3916, + "step": 462 + }, + { + "epoch": 0.62, + "learning_rate": 0.00018425954426255978, + "loss": 1.1561, + "step": 463 + }, + { + "epoch": 0.62, + "learning_rate": 0.0001841819182100012, + "loss": 1.1037, + "step": 464 + }, + { + "epoch": 0.62, + "learning_rate": 0.00018410411765199243, + "loss": 1.3372, + "step": 465 + }, + { + "epoch": 0.62, + "learning_rate": 0.00018402614274981073, + "loss": 1.3155, + "step": 466 + }, + { + "epoch": 0.62, + "learning_rate": 0.00018394799366509452, + "loss": 1.2639, + "step": 467 + }, + { + "epoch": 0.62, + "learning_rate": 0.0001838696705598436, + "loss": 1.1655, + "step": 468 + }, + { + "epoch": 0.63, + "learning_rate": 0.00018379117359641824, + "loss": 1.0399, + "step": 469 + }, + { + "epoch": 0.63, + "learning_rate": 0.0001837125029375393, + "loss": 1.0648, + "step": 470 + }, + { + "epoch": 0.63, + "learning_rate": 0.0001836336587462876, + "loss": 1.4474, + "step": 471 + }, + { + "epoch": 0.63, + "learning_rate": 0.00018355464118610372, + "loss": 1.2198, + "step": 472 + }, + { + "epoch": 0.63, + "learning_rate": 0.0001834754504207876, + "loss": 1.2475, + "step": 473 + }, + { + "epoch": 0.63, + "learning_rate": 0.00018339608661449832, + "loss": 0.9374, + "step": 474 + }, + { + "epoch": 0.63, + "learning_rate": 0.0001833165499317535, + "loss": 1.1665, + "step": 475 + }, + { + "epoch": 0.63, + "learning_rate": 0.00018323684053742932, + "loss": 1.1142, + "step": 476 + }, + { + "epoch": 0.64, + "learning_rate": 0.00018315695859675977, + "loss": 1.277, + "step": 477 + }, + { + "epoch": 0.64, + "learning_rate": 0.00018307690427533672, + "loss": 1.216, + "step": 478 + }, + { + "epoch": 0.64, + "learning_rate": 0.00018299667773910924, + "loss": 1.5161, + "step": 479 + }, + { + "epoch": 0.64, + "learning_rate": 0.00018291627915438348, + "loss": 1.4463, + "step": 480 + }, + { + "epoch": 0.64, + "learning_rate": 0.0001828357086878222, + "loss": 1.154, + "step": 481 + }, + { + "epoch": 0.64, + "learning_rate": 0.00018275496650644444, + "loss": 1.0791, + "step": 482 + }, + { + "epoch": 0.64, + "learning_rate": 0.00018267405277762525, + "loss": 1.2681, + "step": 483 + }, + { + "epoch": 0.65, + "learning_rate": 0.00018259296766909527, + "loss": 1.0295, + "step": 484 + }, + { + "epoch": 0.65, + "learning_rate": 0.0001825117113489404, + "loss": 1.1922, + "step": 485 + }, + { + "epoch": 0.65, + "learning_rate": 0.00018243028398560142, + "loss": 0.9604, + "step": 486 + }, + { + "epoch": 0.65, + "learning_rate": 0.00018234868574787372, + "loss": 1.1175, + "step": 487 + }, + { + "epoch": 0.65, + "learning_rate": 0.00018226691680490694, + "loss": 1.0906, + "step": 488 + }, + { + "epoch": 0.65, + "learning_rate": 0.0001821849773262045, + "loss": 1.2605, + "step": 489 + }, + { + "epoch": 0.65, + "learning_rate": 0.00018210286748162336, + "loss": 1.1885, + "step": 490 + }, + { + "epoch": 0.65, + "learning_rate": 0.00018202058744137364, + "loss": 1.06, + "step": 491 + }, + { + "epoch": 0.66, + "learning_rate": 0.00018193813737601834, + "loss": 1.2855, + "step": 492 + }, + { + "epoch": 0.66, + "learning_rate": 0.0001818555174564728, + "loss": 1.1235, + "step": 493 + }, + { + "epoch": 0.66, + "learning_rate": 0.00018177272785400455, + "loss": 1.2737, + "step": 494 + }, + { + "epoch": 0.66, + "learning_rate": 0.0001816897687402328, + "loss": 1.1921, + "step": 495 + }, + { + "epoch": 0.66, + "learning_rate": 0.0001816066402871282, + "loss": 1.063, + "step": 496 + }, + { + "epoch": 0.66, + "learning_rate": 0.0001815233426670124, + "loss": 1.3188, + "step": 497 + }, + { + "epoch": 0.66, + "learning_rate": 0.00018143987605255774, + "loss": 1.1964, + "step": 498 + }, + { + "epoch": 0.67, + "learning_rate": 0.0001813562406167869, + "loss": 1.2531, + "step": 499 + }, + { + "epoch": 0.67, + "learning_rate": 0.00018127243653307248, + "loss": 1.118, + "step": 500 + }, + { + "epoch": 0.67, + "learning_rate": 0.00018118846397513665, + "loss": 1.0987, + "step": 501 + }, + { + "epoch": 0.67, + "learning_rate": 0.00018110432311705096, + "loss": 1.3884, + "step": 502 + }, + { + "epoch": 0.67, + "learning_rate": 0.00018102001413323565, + "loss": 1.4359, + "step": 503 + }, + { + "epoch": 0.67, + "learning_rate": 0.00018093553719845967, + "loss": 1.045, + "step": 504 + }, + { + "epoch": 0.67, + "learning_rate": 0.0001808508924878399, + "loss": 1.0859, + "step": 505 + }, + { + "epoch": 0.67, + "learning_rate": 0.00018076608017684128, + "loss": 1.2478, + "step": 506 + }, + { + "epoch": 0.68, + "learning_rate": 0.00018068110044127593, + "loss": 1.0507, + "step": 507 + }, + { + "epoch": 0.68, + "learning_rate": 0.00018059595345730318, + "loss": 1.2064, + "step": 508 + }, + { + "epoch": 0.68, + "learning_rate": 0.000180510639401429, + "loss": 1.2447, + "step": 509 + }, + { + "epoch": 0.68, + "learning_rate": 0.00018042515845050576, + "loss": 1.4431, + "step": 510 + }, + { + "epoch": 0.68, + "learning_rate": 0.0001803395107817317, + "loss": 1.2119, + "step": 511 + }, + { + "epoch": 0.68, + "learning_rate": 0.00018025369657265075, + "loss": 1.0663, + "step": 512 + }, + { + "epoch": 0.68, + "learning_rate": 0.000180167716001152, + "loss": 1.1376, + "step": 513 + }, + { + "epoch": 0.69, + "learning_rate": 0.0001800815692454694, + "loss": 1.0241, + "step": 514 + }, + { + "epoch": 0.69, + "learning_rate": 0.0001799952564841815, + "loss": 1.2796, + "step": 515 + }, + { + "epoch": 0.69, + "learning_rate": 0.00017990877789621082, + "loss": 1.2575, + "step": 516 + }, + { + "epoch": 0.69, + "learning_rate": 0.00017982213366082373, + "loss": 1.1562, + "step": 517 + }, + { + "epoch": 0.69, + "learning_rate": 0.00017973532395763, + "loss": 1.2806, + "step": 518 + }, + { + "epoch": 0.69, + "learning_rate": 0.0001796483489665823, + "loss": 1.1232, + "step": 519 + }, + { + "epoch": 0.69, + "learning_rate": 0.00017956120886797604, + "loss": 1.2081, + "step": 520 + }, + { + "epoch": 0.69, + "learning_rate": 0.0001794739038424488, + "loss": 1.361, + "step": 521 + }, + { + "epoch": 0.7, + "learning_rate": 0.0001793864340709802, + "loss": 1.0471, + "step": 522 + }, + { + "epoch": 0.7, + "learning_rate": 0.00017929879973489115, + "loss": 0.994, + "step": 523 + }, + { + "epoch": 0.7, + "learning_rate": 0.00017921100101584388, + "loss": 1.1898, + "step": 524 + }, + { + "epoch": 0.7, + "learning_rate": 0.00017912303809584126, + "loss": 1.2885, + "step": 525 + }, + { + "epoch": 0.7, + "learning_rate": 0.00017903491115722666, + "loss": 1.3112, + "step": 526 + }, + { + "epoch": 0.7, + "learning_rate": 0.00017894662038268333, + "loss": 1.115, + "step": 527 + }, + { + "epoch": 0.7, + "learning_rate": 0.00017885816595523423, + "loss": 1.3407, + "step": 528 + }, + { + "epoch": 0.71, + "learning_rate": 0.0001787695480582415, + "loss": 1.2152, + "step": 529 + }, + { + "epoch": 0.71, + "learning_rate": 0.00017868076687540624, + "loss": 1.1489, + "step": 530 + }, + { + "epoch": 0.71, + "learning_rate": 0.00017859182259076793, + "loss": 1.1711, + "step": 531 + }, + { + "epoch": 0.71, + "learning_rate": 0.00017850271538870423, + "loss": 1.1491, + "step": 532 + }, + { + "epoch": 0.71, + "learning_rate": 0.00017841344545393043, + "loss": 1.4032, + "step": 533 + }, + { + "epoch": 0.71, + "learning_rate": 0.00017832401297149928, + "loss": 1.2209, + "step": 534 + }, + { + "epoch": 0.71, + "learning_rate": 0.0001782344181268004, + "loss": 1.2372, + "step": 535 + }, + { + "epoch": 0.71, + "learning_rate": 0.00017814466110555998, + "loss": 1.1747, + "step": 536 + }, + { + "epoch": 0.72, + "learning_rate": 0.00017805474209384045, + "loss": 1.2833, + "step": 537 + }, + { + "epoch": 0.72, + "learning_rate": 0.00017796466127804, + "loss": 1.0638, + "step": 538 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001778744188448922, + "loss": 1.3156, + "step": 539 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001777840149814657, + "loss": 1.346, + "step": 540 + }, + { + "epoch": 0.72, + "learning_rate": 0.00017769344987516382, + "loss": 1.2409, + "step": 541 + }, + { + "epoch": 0.72, + "learning_rate": 0.00017760272371372402, + "loss": 1.0615, + "step": 542 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001775118366852177, + "loss": 1.2862, + "step": 543 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017742078897804974, + "loss": 1.0227, + "step": 544 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017732958078095804, + "loss": 1.1639, + "step": 545 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017723821228301322, + "loss": 1.4482, + "step": 546 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017714668367361825, + "loss": 1.1363, + "step": 547 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017705499514250784, + "loss": 1.3087, + "step": 548 + }, + { + "epoch": 0.73, + "learning_rate": 0.00017696314687974844, + "loss": 1.3111, + "step": 549 + }, + { + "epoch": 0.73, + "learning_rate": 0.0001768711390757374, + "loss": 1.2013, + "step": 550 + }, + { + "epoch": 0.73, + "learning_rate": 0.000176778971921203, + "loss": 1.2325, + "step": 551 + }, + { + "epoch": 0.74, + "learning_rate": 0.0001766866456072036, + "loss": 0.998, + "step": 552 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017659416032512776, + "loss": 1.3358, + "step": 553 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017650151626669337, + "loss": 1.2797, + "step": 554 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017640871362394753, + "loss": 1.1523, + "step": 555 + }, + { + "epoch": 0.74, + "learning_rate": 0.0001763157525892661, + "loss": 1.0524, + "step": 556 + }, + { + "epoch": 0.74, + "learning_rate": 0.00017622263335535324, + "loss": 1.1988, + "step": 557 + }, + { + "epoch": 0.74, + "learning_rate": 0.0001761293561152411, + "loss": 1.0297, + "step": 558 + }, + { + "epoch": 0.75, + "learning_rate": 0.00017603592106228927, + "loss": 1.2259, + "step": 559 + }, + { + "epoch": 0.75, + "learning_rate": 0.0001759423283901846, + "loss": 0.9118, + "step": 560 + }, + { + "epoch": 0.75, + "learning_rate": 0.00017584857829294062, + "loss": 1.2517, + "step": 561 + }, + { + "epoch": 0.75, + "learning_rate": 0.00017575467096489717, + "loss": 1.1667, + "step": 562 + }, + { + "epoch": 0.75, + "learning_rate": 0.00017566060660072008, + "loss": 1.1651, + "step": 563 + }, + { + "epoch": 0.75, + "learning_rate": 0.00017556638539540067, + "loss": 1.3498, + "step": 564 + }, + { + "epoch": 0.75, + "learning_rate": 0.0001754720075442554, + "loss": 1.2504, + "step": 565 + }, + { + "epoch": 0.75, + "learning_rate": 0.00017537747324292542, + "loss": 1.0148, + "step": 566 + }, + { + "epoch": 0.76, + "learning_rate": 0.00017528278268737625, + "loss": 1.2432, + "step": 567 + }, + { + "epoch": 0.76, + "learning_rate": 0.00017518793607389723, + "loss": 1.2598, + "step": 568 + }, + { + "epoch": 0.76, + "learning_rate": 0.00017509293359910136, + "loss": 1.2264, + "step": 569 + }, + { + "epoch": 0.76, + "learning_rate": 0.00017499777545992452, + "loss": 1.1781, + "step": 570 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001749024618536255, + "loss": 1.1941, + "step": 571 + }, + { + "epoch": 0.76, + "learning_rate": 0.00017480699297778518, + "loss": 1.0549, + "step": 572 + }, + { + "epoch": 0.76, + "learning_rate": 0.00017471136903030637, + "loss": 1.2401, + "step": 573 + }, + { + "epoch": 0.77, + "learning_rate": 0.00017461559020941341, + "loss": 1.1683, + "step": 574 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001745196567136516, + "loss": 1.281, + "step": 575 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001744235687418869, + "loss": 1.1068, + "step": 576 + }, + { + "epoch": 0.77, + "learning_rate": 0.00017432732649330548, + "loss": 1.1492, + "step": 577 + }, + { + "epoch": 0.77, + "learning_rate": 0.00017423093016741333, + "loss": 1.3113, + "step": 578 + }, + { + "epoch": 0.77, + "learning_rate": 0.00017413437996403582, + "loss": 1.1857, + "step": 579 + }, + { + "epoch": 0.77, + "learning_rate": 0.00017403767608331733, + "loss": 1.1321, + "step": 580 + }, + { + "epoch": 0.77, + "learning_rate": 0.00017394081872572082, + "loss": 1.3185, + "step": 581 + }, + { + "epoch": 0.78, + "learning_rate": 0.00017384380809202737, + "loss": 1.2783, + "step": 582 + }, + { + "epoch": 0.78, + "learning_rate": 0.00017374664438333577, + "loss": 1.1044, + "step": 583 + }, + { + "epoch": 0.78, + "learning_rate": 0.00017364932780106212, + "loss": 1.1475, + "step": 584 + }, + { + "epoch": 0.78, + "learning_rate": 0.00017355185854693955, + "loss": 1.1435, + "step": 585 + }, + { + "epoch": 0.78, + "learning_rate": 0.00017345423682301755, + "loss": 1.3367, + "step": 586 + }, + { + "epoch": 0.78, + "learning_rate": 0.00017335646283166164, + "loss": 1.1303, + "step": 587 + }, + { + "epoch": 0.78, + "learning_rate": 0.00017325853677555312, + "loss": 0.9936, + "step": 588 + }, + { + "epoch": 0.79, + "learning_rate": 0.0001731604588576884, + "loss": 1.1361, + "step": 589 + }, + { + "epoch": 0.79, + "learning_rate": 0.00017306222928137875, + "loss": 1.375, + "step": 590 + }, + { + "epoch": 0.79, + "learning_rate": 0.0001729638482502498, + "loss": 1.0961, + "step": 591 + }, + { + "epoch": 0.79, + "learning_rate": 0.00017286531596824112, + "loss": 1.2328, + "step": 592 + }, + { + "epoch": 0.79, + "learning_rate": 0.00017276663263960586, + "loss": 1.2422, + "step": 593 + }, + { + "epoch": 0.79, + "learning_rate": 0.00017266779846891029, + "loss": 1.1101, + "step": 594 + }, + { + "epoch": 0.79, + "learning_rate": 0.00017256881366103328, + "loss": 1.1748, + "step": 595 + }, + { + "epoch": 0.79, + "learning_rate": 0.00017246967842116605, + "loss": 1.3677, + "step": 596 + }, + { + "epoch": 0.8, + "learning_rate": 0.00017237039295481168, + "loss": 0.9986, + "step": 597 + }, + { + "epoch": 0.8, + "learning_rate": 0.00017227095746778456, + "loss": 1.2788, + "step": 598 + }, + { + "epoch": 0.8, + "learning_rate": 0.00017217137216621016, + "loss": 1.1473, + "step": 599 + }, + { + "epoch": 0.8, + "learning_rate": 0.00017207163725652445, + "loss": 1.0596, + "step": 600 + }, + { + "epoch": 0.8, + "learning_rate": 0.00017197175294547353, + "loss": 1.176, + "step": 601 + }, + { + "epoch": 0.8, + "learning_rate": 0.00017187171944011329, + "loss": 1.1753, + "step": 602 + }, + { + "epoch": 0.8, + "learning_rate": 0.00017177153694780879, + "loss": 0.9697, + "step": 603 + }, + { + "epoch": 0.81, + "learning_rate": 0.000171671205676234, + "loss": 1.431, + "step": 604 + }, + { + "epoch": 0.81, + "learning_rate": 0.00017157072583337123, + "loss": 1.0762, + "step": 605 + }, + { + "epoch": 0.81, + "learning_rate": 0.00017147009762751085, + "loss": 1.4879, + "step": 606 + }, + { + "epoch": 0.81, + "learning_rate": 0.00017136932126725078, + "loss": 1.1397, + "step": 607 + }, + { + "epoch": 0.81, + "learning_rate": 0.00017126839696149596, + "loss": 1.2918, + "step": 608 + }, + { + "epoch": 0.81, + "learning_rate": 0.0001711673249194581, + "loss": 1.27, + "step": 609 + }, + { + "epoch": 0.81, + "learning_rate": 0.00017106610535065517, + "loss": 1.2839, + "step": 610 + }, + { + "epoch": 0.81, + "learning_rate": 0.0001709647384649109, + "loss": 1.1277, + "step": 611 + }, + { + "epoch": 0.82, + "learning_rate": 0.0001708632244723545, + "loss": 1.2451, + "step": 612 + }, + { + "epoch": 0.82, + "learning_rate": 0.0001707615635834199, + "loss": 1.224, + "step": 613 + }, + { + "epoch": 0.82, + "learning_rate": 0.00017065975600884584, + "loss": 1.1693, + "step": 614 + }, + { + "epoch": 0.82, + "learning_rate": 0.0001705578019596749, + "loss": 1.1604, + "step": 615 + }, + { + "epoch": 0.82, + "learning_rate": 0.00017045570164725348, + "loss": 1.1424, + "step": 616 + }, + { + "epoch": 0.82, + "learning_rate": 0.000170353455283231, + "loss": 1.1361, + "step": 617 + }, + { + "epoch": 0.82, + "learning_rate": 0.00017025106307955973, + "loss": 1.3433, + "step": 618 + }, + { + "epoch": 0.83, + "learning_rate": 0.00017014852524849426, + "loss": 1.198, + "step": 619 + }, + { + "epoch": 0.83, + "learning_rate": 0.00017004584200259107, + "loss": 1.3421, + "step": 620 + }, + { + "epoch": 0.83, + "learning_rate": 0.000169943013554708, + "loss": 1.3464, + "step": 621 + }, + { + "epoch": 0.83, + "learning_rate": 0.00016984004011800404, + "loss": 1.1094, + "step": 622 + }, + { + "epoch": 0.83, + "learning_rate": 0.0001697369219059385, + "loss": 1.114, + "step": 623 + }, + { + "epoch": 0.83, + "learning_rate": 0.0001696336591322711, + "loss": 1.0978, + "step": 624 + }, + { + "epoch": 0.83, + "learning_rate": 0.00016953025201106093, + "loss": 1.2654, + "step": 625 + }, + { + "epoch": 0.83, + "learning_rate": 0.00016942670075666656, + "loss": 1.4481, + "step": 626 + }, + { + "epoch": 0.84, + "learning_rate": 0.00016932300558374514, + "loss": 1.13, + "step": 627 + }, + { + "epoch": 0.84, + "learning_rate": 0.00016921916670725233, + "loss": 1.1954, + "step": 628 + }, + { + "epoch": 0.84, + "learning_rate": 0.00016911518434244155, + "loss": 1.145, + "step": 629 + }, + { + "epoch": 0.84, + "learning_rate": 0.00016901105870486372, + "loss": 1.2081, + "step": 630 + }, + { + "epoch": 0.84, + "learning_rate": 0.00016890679001036677, + "loss": 1.2189, + "step": 631 + }, + { + "epoch": 0.84, + "learning_rate": 0.00016880237847509514, + "loss": 1.2548, + "step": 632 + }, + { + "epoch": 0.84, + "learning_rate": 0.0001686978243154894, + "loss": 1.0769, + "step": 633 + }, + { + "epoch": 0.85, + "learning_rate": 0.00016859312774828578, + "loss": 1.207, + "step": 634 + }, + { + "epoch": 0.85, + "learning_rate": 0.00016848828899051568, + "loss": 1.2526, + "step": 635 + }, + { + "epoch": 0.85, + "learning_rate": 0.0001683833082595053, + "loss": 1.3437, + "step": 636 + }, + { + "epoch": 0.85, + "learning_rate": 0.00016827818577287511, + "loss": 1.2119, + "step": 637 + }, + { + "epoch": 0.85, + "learning_rate": 0.0001681729217485395, + "loss": 0.9382, + "step": 638 + }, + { + "epoch": 0.85, + "learning_rate": 0.0001680675164047061, + "loss": 1.2919, + "step": 639 + }, + { + "epoch": 0.85, + "learning_rate": 0.0001679619699598757, + "loss": 1.2436, + "step": 640 + }, + { + "epoch": 0.85, + "learning_rate": 0.00016785628263284142, + "loss": 1.058, + "step": 641 + }, + { + "epoch": 0.86, + "learning_rate": 0.00016775045464268855, + "loss": 1.077, + "step": 642 + }, + { + "epoch": 0.86, + "learning_rate": 0.00016764448620879382, + "loss": 1.126, + "step": 643 + }, + { + "epoch": 0.86, + "learning_rate": 0.00016753837755082527, + "loss": 1.1716, + "step": 644 + }, + { + "epoch": 0.86, + "learning_rate": 0.00016743212888874144, + "loss": 0.9635, + "step": 645 + }, + { + "epoch": 0.86, + "learning_rate": 0.00016732574044279122, + "loss": 0.8972, + "step": 646 + }, + { + "epoch": 0.86, + "learning_rate": 0.00016721921243351324, + "loss": 1.2346, + "step": 647 + }, + { + "epoch": 0.86, + "learning_rate": 0.0001671125450817354, + "loss": 1.2805, + "step": 648 + }, + { + "epoch": 0.87, + "learning_rate": 0.00016700573860857452, + "loss": 1.1036, + "step": 649 + }, + { + "epoch": 0.87, + "learning_rate": 0.00016689879323543566, + "loss": 1.1667, + "step": 650 + }, + { + "epoch": 0.87, + "learning_rate": 0.00016679170918401204, + "loss": 1.2651, + "step": 651 + }, + { + "epoch": 0.87, + "learning_rate": 0.00016668448667628418, + "loss": 1.1998, + "step": 652 + }, + { + "epoch": 0.87, + "learning_rate": 0.00016657712593451965, + "loss": 1.0381, + "step": 653 + }, + { + "epoch": 0.87, + "learning_rate": 0.00016646962718127264, + "loss": 1.1996, + "step": 654 + }, + { + "epoch": 0.87, + "learning_rate": 0.00016636199063938337, + "loss": 1.1794, + "step": 655 + }, + { + "epoch": 0.87, + "learning_rate": 0.00016625421653197766, + "loss": 0.9635, + "step": 656 + }, + { + "epoch": 0.88, + "learning_rate": 0.00016614630508246658, + "loss": 0.9963, + "step": 657 + }, + { + "epoch": 0.88, + "learning_rate": 0.00016603825651454588, + "loss": 1.228, + "step": 658 + }, + { + "epoch": 0.88, + "learning_rate": 0.0001659300710521955, + "loss": 1.167, + "step": 659 + }, + { + "epoch": 0.88, + "learning_rate": 0.0001658217489196792, + "loss": 1.3202, + "step": 660 + }, + { + "epoch": 0.88, + "learning_rate": 0.00016571329034154405, + "loss": 1.0456, + "step": 661 + }, + { + "epoch": 0.88, + "learning_rate": 0.00016560469554262, + "loss": 1.2181, + "step": 662 + }, + { + "epoch": 0.88, + "learning_rate": 0.00016549596474801925, + "loss": 1.2705, + "step": 663 + }, + { + "epoch": 0.89, + "learning_rate": 0.00016538709818313604, + "loss": 1.1535, + "step": 664 + }, + { + "epoch": 0.89, + "learning_rate": 0.00016527809607364607, + "loss": 1.0159, + "step": 665 + }, + { + "epoch": 0.89, + "learning_rate": 0.0001651689586455059, + "loss": 1.1508, + "step": 666 + }, + { + "epoch": 0.89, + "learning_rate": 0.0001650596861249527, + "loss": 1.0439, + "step": 667 + }, + { + "epoch": 0.89, + "learning_rate": 0.0001649502787385036, + "loss": 1.3048, + "step": 668 + }, + { + "epoch": 0.89, + "learning_rate": 0.00016484073671295543, + "loss": 1.3086, + "step": 669 + }, + { + "epoch": 0.89, + "learning_rate": 0.00016473106027538393, + "loss": 1.1795, + "step": 670 + }, + { + "epoch": 0.89, + "learning_rate": 0.00016462124965314372, + "loss": 1.1655, + "step": 671 + }, + { + "epoch": 0.9, + "learning_rate": 0.0001645113050738673, + "loss": 1.1816, + "step": 672 + }, + { + "epoch": 0.9, + "learning_rate": 0.00016440122676546505, + "loss": 1.1037, + "step": 673 + }, + { + "epoch": 0.9, + "learning_rate": 0.00016429101495612453, + "loss": 1.3513, + "step": 674 + }, + { + "epoch": 0.9, + "learning_rate": 0.00016418066987430998, + "loss": 1.1256, + "step": 675 + }, + { + "epoch": 0.9, + "learning_rate": 0.00016407019174876196, + "loss": 1.0347, + "step": 676 + }, + { + "epoch": 0.9, + "learning_rate": 0.00016395958080849684, + "loss": 1.0716, + "step": 677 + }, + { + "epoch": 0.9, + "learning_rate": 0.00016384883728280626, + "loss": 1.1002, + "step": 678 + }, + { + "epoch": 0.91, + "learning_rate": 0.00016373796140125674, + "loss": 0.9785, + "step": 679 + }, + { + "epoch": 0.91, + "learning_rate": 0.00016362695339368913, + "loss": 1.107, + "step": 680 + }, + { + "epoch": 0.91, + "learning_rate": 0.0001635158134902182, + "loss": 1.3126, + "step": 681 + }, + { + "epoch": 0.91, + "learning_rate": 0.00016340454192123217, + "loss": 1.1347, + "step": 682 + }, + { + "epoch": 0.91, + "learning_rate": 0.00016329313891739209, + "loss": 1.1564, + "step": 683 + }, + { + "epoch": 0.91, + "learning_rate": 0.00016318160470963158, + "loss": 1.1214, + "step": 684 + }, + { + "epoch": 0.91, + "learning_rate": 0.00016306993952915617, + "loss": 1.0821, + "step": 685 + }, + { + "epoch": 0.91, + "learning_rate": 0.00016295814360744296, + "loss": 1.0957, + "step": 686 + }, + { + "epoch": 0.92, + "learning_rate": 0.00016284621717623998, + "loss": 1.178, + "step": 687 + }, + { + "epoch": 0.92, + "learning_rate": 0.00016273416046756585, + "loss": 1.1498, + "step": 688 + }, + { + "epoch": 0.92, + "learning_rate": 0.00016262197371370927, + "loss": 1.2957, + "step": 689 + }, + { + "epoch": 0.92, + "learning_rate": 0.0001625096571472285, + "loss": 0.9348, + "step": 690 + }, + { + "epoch": 0.92, + "learning_rate": 0.00016239721100095084, + "loss": 1.2325, + "step": 691 + }, + { + "epoch": 0.92, + "learning_rate": 0.00016228463550797234, + "loss": 1.0739, + "step": 692 + }, + { + "epoch": 0.92, + "learning_rate": 0.00016217193090165702, + "loss": 1.3574, + "step": 693 + }, + { + "epoch": 0.93, + "learning_rate": 0.00016205909741563663, + "loss": 1.1554, + "step": 694 + }, + { + "epoch": 0.93, + "learning_rate": 0.0001619461352838101, + "loss": 1.0253, + "step": 695 + }, + { + "epoch": 0.93, + "learning_rate": 0.00016183304474034303, + "loss": 1.0506, + "step": 696 + }, + { + "epoch": 0.93, + "learning_rate": 0.0001617198260196671, + "loss": 1.3249, + "step": 697 + }, + { + "epoch": 0.93, + "learning_rate": 0.00016160647935647987, + "loss": 1.1862, + "step": 698 + }, + { + "epoch": 0.93, + "learning_rate": 0.00016149300498574402, + "loss": 1.2605, + "step": 699 + }, + { + "epoch": 0.93, + "learning_rate": 0.00016137940314268695, + "loss": 1.0166, + "step": 700 + }, + { + "epoch": 0.93, + "learning_rate": 0.00016126567406280038, + "loss": 1.1251, + "step": 701 + }, + { + "epoch": 0.94, + "learning_rate": 0.00016115181798183968, + "loss": 1.1132, + "step": 702 + }, + { + "epoch": 0.94, + "learning_rate": 0.0001610378351358236, + "loss": 1.0725, + "step": 703 + }, + { + "epoch": 0.94, + "learning_rate": 0.00016092372576103362, + "loss": 1.038, + "step": 704 + }, + { + "epoch": 0.94, + "learning_rate": 0.00016080949009401345, + "loss": 1.0443, + "step": 705 + }, + { + "epoch": 0.94, + "learning_rate": 0.00016069512837156867, + "loss": 1.2413, + "step": 706 + }, + { + "epoch": 0.94, + "learning_rate": 0.00016058064083076618, + "loss": 1.2521, + "step": 707 + }, + { + "epoch": 0.94, + "learning_rate": 0.00016046602770893365, + "loss": 1.0743, + "step": 708 + }, + { + "epoch": 0.95, + "learning_rate": 0.00016035128924365906, + "loss": 1.4178, + "step": 709 + }, + { + "epoch": 0.95, + "learning_rate": 0.00016023642567279033, + "loss": 1.211, + "step": 710 + }, + { + "epoch": 0.95, + "learning_rate": 0.00016012143723443452, + "loss": 1.1634, + "step": 711 + }, + { + "epoch": 0.95, + "learning_rate": 0.00016000632416695782, + "loss": 0.9715, + "step": 712 + }, + { + "epoch": 0.95, + "learning_rate": 0.00015989108670898443, + "loss": 1.1186, + "step": 713 + }, + { + "epoch": 0.95, + "learning_rate": 0.0001597757250993967, + "loss": 1.2126, + "step": 714 + }, + { + "epoch": 0.95, + "learning_rate": 0.00015966023957733415, + "loss": 1.2035, + "step": 715 + }, + { + "epoch": 0.95, + "learning_rate": 0.0001595446303821933, + "loss": 1.2056, + "step": 716 + }, + { + "epoch": 0.96, + "learning_rate": 0.00015942889775362695, + "loss": 1.2331, + "step": 717 + }, + { + "epoch": 0.96, + "learning_rate": 0.00015931304193154375, + "loss": 1.1868, + "step": 718 + }, + { + "epoch": 0.96, + "learning_rate": 0.00015919706315610787, + "loss": 1.2837, + "step": 719 + }, + { + "epoch": 0.96, + "learning_rate": 0.00015908096166773817, + "loss": 1.338, + "step": 720 + }, + { + "epoch": 0.96, + "learning_rate": 0.00015896473770710807, + "loss": 1.0693, + "step": 721 + }, + { + "epoch": 0.96, + "learning_rate": 0.0001588483915151447, + "loss": 1.4525, + "step": 722 + }, + { + "epoch": 0.96, + "learning_rate": 0.0001587319233330287, + "loss": 1.3511, + "step": 723 + }, + { + "epoch": 0.97, + "learning_rate": 0.00015861533340219347, + "loss": 1.1161, + "step": 724 + }, + { + "epoch": 0.97, + "learning_rate": 0.00015849862196432493, + "loss": 1.0558, + "step": 725 + }, + { + "epoch": 0.97, + "learning_rate": 0.00015838178926136078, + "loss": 1.0671, + "step": 726 + }, + { + "epoch": 0.97, + "learning_rate": 0.00015826483553549014, + "loss": 1.1497, + "step": 727 + }, + { + "epoch": 0.97, + "learning_rate": 0.00015814776102915295, + "loss": 1.2442, + "step": 728 + }, + { + "epoch": 0.97, + "learning_rate": 0.0001580305659850396, + "loss": 1.2528, + "step": 729 + }, + { + "epoch": 0.97, + "learning_rate": 0.0001579132506460903, + "loss": 1.1791, + "step": 730 + }, + { + "epoch": 0.97, + "learning_rate": 0.00015779581525549467, + "loss": 1.1496, + "step": 731 + }, + { + "epoch": 0.98, + "learning_rate": 0.0001576782600566911, + "loss": 1.0973, + "step": 732 + }, + { + "epoch": 0.98, + "learning_rate": 0.00015756058529336646, + "loss": 1.2501, + "step": 733 + }, + { + "epoch": 0.98, + "learning_rate": 0.00015744279120945534, + "loss": 1.236, + "step": 734 + }, + { + "epoch": 0.98, + "learning_rate": 0.00015732487804913977, + "loss": 0.9319, + "step": 735 + }, + { + "epoch": 0.98, + "learning_rate": 0.00015720684605684864, + "loss": 1.1089, + "step": 736 + }, + { + "epoch": 0.98, + "learning_rate": 0.0001570886954772571, + "loss": 1.2369, + "step": 737 + }, + { + "epoch": 0.98, + "learning_rate": 0.00015697042655528617, + "loss": 1.033, + "step": 738 + }, + { + "epoch": 0.99, + "learning_rate": 0.00015685203953610214, + "loss": 0.9563, + "step": 739 + }, + { + "epoch": 0.99, + "learning_rate": 0.00015673353466511618, + "loss": 1.1874, + "step": 740 + }, + { + "epoch": 0.99, + "learning_rate": 0.0001566149121879837, + "loss": 1.0652, + "step": 741 + }, + { + "epoch": 0.99, + "learning_rate": 0.00015649617235060395, + "loss": 0.9729, + "step": 742 + }, + { + "epoch": 0.99, + "learning_rate": 0.0001563773153991194, + "loss": 1.1644, + "step": 743 + }, + { + "epoch": 0.99, + "learning_rate": 0.0001562583415799154, + "loss": 1.1626, + "step": 744 + }, + { + "epoch": 0.99, + "learning_rate": 0.00015613925113961943, + "loss": 1.1397, + "step": 745 + }, + { + "epoch": 0.99, + "learning_rate": 0.00015602004432510084, + "loss": 1.2284, + "step": 746 + }, + { + "epoch": 1.0, + "learning_rate": 0.00015590072138347013, + "loss": 1.2414, + "step": 747 + }, + { + "epoch": 1.0, + "learning_rate": 0.00015578128256207857, + "loss": 1.0592, + "step": 748 + }, + { + "epoch": 1.0, + "learning_rate": 0.00015566172810851765, + "loss": 1.2382, + "step": 749 + }, + { + "epoch": 1.0, + "learning_rate": 0.00015554205827061855, + "loss": 1.2809, + "step": 750 + }, + { + "epoch": 1.0, + "learning_rate": 0.00015542227329645155, + "loss": 0.8668, + "step": 751 + }, + { + "epoch": 1.0, + "learning_rate": 0.0001553023734343258, + "loss": 0.6818, + "step": 752 + }, + { + "epoch": 1.0, + "learning_rate": 0.00015518235893278846, + "loss": 0.6771, + "step": 753 + }, + { + "epoch": 1.01, + "learning_rate": 0.00015506223004062427, + "loss": 0.7074, + "step": 754 + }, + { + "epoch": 1.01, + "learning_rate": 0.00015494198700685536, + "loss": 0.6281, + "step": 755 + }, + { + "epoch": 1.01, + "learning_rate": 0.00015482163008074016, + "loss": 0.6755, + "step": 756 + }, + { + "epoch": 1.01, + "learning_rate": 0.00015470115951177343, + "loss": 0.6752, + "step": 757 + }, + { + "epoch": 1.01, + "learning_rate": 0.00015458057554968533, + "loss": 0.5428, + "step": 758 + }, + { + "epoch": 1.01, + "learning_rate": 0.0001544598784444412, + "loss": 0.7003, + "step": 759 + }, + { + "epoch": 1.01, + "learning_rate": 0.0001543390684462409, + "loss": 0.506, + "step": 760 + }, + { + "epoch": 1.01, + "learning_rate": 0.00015421814580551826, + "loss": 0.5807, + "step": 761 + }, + { + "epoch": 1.02, + "learning_rate": 0.00015409711077294066, + "loss": 0.7003, + "step": 762 + }, + { + "epoch": 1.02, + "learning_rate": 0.0001539759635994085, + "loss": 0.6965, + "step": 763 + }, + { + "epoch": 1.02, + "learning_rate": 0.00015385470453605456, + "loss": 0.7081, + "step": 764 + }, + { + "epoch": 1.02, + "learning_rate": 0.00015373333383424353, + "loss": 0.717, + "step": 765 + }, + { + "epoch": 1.02, + "learning_rate": 0.0001536118517455717, + "loss": 0.6623, + "step": 766 + }, + { + "epoch": 1.02, + "learning_rate": 0.00015349025852186605, + "loss": 0.7523, + "step": 767 + }, + { + "epoch": 1.02, + "learning_rate": 0.00015336855441518414, + "loss": 0.8403, + "step": 768 + }, + { + "epoch": 1.03, + "learning_rate": 0.00015324673967781317, + "loss": 0.5041, + "step": 769 + }, + { + "epoch": 1.03, + "learning_rate": 0.00015312481456226986, + "loss": 0.659, + "step": 770 + }, + { + "epoch": 1.03, + "learning_rate": 0.00015300277932129967, + "loss": 0.6952, + "step": 771 + }, + { + "epoch": 1.03, + "learning_rate": 0.0001528806342078763, + "loss": 0.591, + "step": 772 + }, + { + "epoch": 1.03, + "learning_rate": 0.0001527583794752013, + "loss": 0.5676, + "step": 773 + }, + { + "epoch": 1.03, + "learning_rate": 0.00015263601537670332, + "loss": 0.8915, + "step": 774 + }, + { + "epoch": 1.03, + "learning_rate": 0.00015251354216603793, + "loss": 0.6137, + "step": 775 + }, + { + "epoch": 1.03, + "learning_rate": 0.00015239096009708665, + "loss": 0.6979, + "step": 776 + }, + { + "epoch": 1.04, + "learning_rate": 0.0001522682694239568, + "loss": 0.6997, + "step": 777 + }, + { + "epoch": 1.04, + "learning_rate": 0.00015214547040098082, + "loss": 0.557, + "step": 778 + }, + { + "epoch": 1.04, + "learning_rate": 0.00015202256328271575, + "loss": 0.7591, + "step": 779 + }, + { + "epoch": 1.04, + "learning_rate": 0.00015189954832394266, + "loss": 0.7054, + "step": 780 + }, + { + "epoch": 1.04, + "learning_rate": 0.00015177642577966625, + "loss": 0.6023, + "step": 781 + }, + { + "epoch": 1.04, + "learning_rate": 0.00015165319590511412, + "loss": 0.513, + "step": 782 + }, + { + "epoch": 1.04, + "learning_rate": 0.00015152985895573647, + "loss": 0.5737, + "step": 783 + }, + { + "epoch": 1.05, + "learning_rate": 0.00015140641518720545, + "loss": 0.6392, + "step": 784 + }, + { + "epoch": 1.05, + "learning_rate": 0.00015128286485541459, + "loss": 0.5861, + "step": 785 + }, + { + "epoch": 1.05, + "learning_rate": 0.00015115920821647834, + "loss": 0.6899, + "step": 786 + }, + { + "epoch": 1.05, + "learning_rate": 0.00015103544552673155, + "loss": 0.6122, + "step": 787 + }, + { + "epoch": 1.05, + "learning_rate": 0.00015091157704272886, + "loss": 0.6617, + "step": 788 + }, + { + "epoch": 1.05, + "learning_rate": 0.00015078760302124423, + "loss": 0.8937, + "step": 789 + }, + { + "epoch": 1.05, + "learning_rate": 0.00015066352371927047, + "loss": 0.6895, + "step": 790 + }, + { + "epoch": 1.05, + "learning_rate": 0.00015053933939401852, + "loss": 0.5034, + "step": 791 + }, + { + "epoch": 1.06, + "learning_rate": 0.0001504150503029171, + "loss": 0.5446, + "step": 792 + }, + { + "epoch": 1.06, + "learning_rate": 0.00015029065670361203, + "loss": 0.6034, + "step": 793 + }, + { + "epoch": 1.06, + "learning_rate": 0.0001501661588539659, + "loss": 0.6286, + "step": 794 + }, + { + "epoch": 1.06, + "learning_rate": 0.0001500415570120573, + "loss": 0.6943, + "step": 795 + }, + { + "epoch": 1.06, + "learning_rate": 0.00014991685143618042, + "loss": 0.6186, + "step": 796 + }, + { + "epoch": 1.06, + "learning_rate": 0.00014979204238484446, + "loss": 0.5498, + "step": 797 + }, + { + "epoch": 1.06, + "learning_rate": 0.00014966713011677318, + "loss": 0.5775, + "step": 798 + }, + { + "epoch": 1.07, + "learning_rate": 0.00014954211489090426, + "loss": 0.6028, + "step": 799 + }, + { + "epoch": 1.07, + "learning_rate": 0.00014941699696638887, + "loss": 0.6215, + "step": 800 + }, + { + "epoch": 1.07, + "learning_rate": 0.00014929177660259093, + "loss": 0.6362, + "step": 801 + }, + { + "epoch": 1.07, + "learning_rate": 0.00014916645405908683, + "loss": 0.5457, + "step": 802 + }, + { + "epoch": 1.07, + "learning_rate": 0.00014904102959566477, + "loss": 0.6612, + "step": 803 + }, + { + "epoch": 1.07, + "learning_rate": 0.0001489155034723242, + "loss": 0.6341, + "step": 804 + }, + { + "epoch": 1.07, + "learning_rate": 0.00014878987594927527, + "loss": 0.6023, + "step": 805 + }, + { + "epoch": 1.07, + "learning_rate": 0.00014866414728693838, + "loss": 0.5799, + "step": 806 + }, + { + "epoch": 1.08, + "learning_rate": 0.00014853831774594363, + "loss": 0.7384, + "step": 807 + }, + { + "epoch": 1.08, + "learning_rate": 0.00014841238758713006, + "loss": 0.6398, + "step": 808 + }, + { + "epoch": 1.08, + "learning_rate": 0.00014828635707154553, + "loss": 0.595, + "step": 809 + }, + { + "epoch": 1.08, + "learning_rate": 0.0001481602264604457, + "loss": 0.65, + "step": 810 + }, + { + "epoch": 1.08, + "learning_rate": 0.00014803399601529395, + "loss": 0.6335, + "step": 811 + }, + { + "epoch": 1.08, + "learning_rate": 0.00014790766599776038, + "loss": 0.6416, + "step": 812 + }, + { + "epoch": 1.08, + "learning_rate": 0.00014778123666972173, + "loss": 0.6757, + "step": 813 + }, + { + "epoch": 1.09, + "learning_rate": 0.00014765470829326033, + "loss": 0.6103, + "step": 814 + }, + { + "epoch": 1.09, + "learning_rate": 0.00014752808113066413, + "loss": 0.7826, + "step": 815 + }, + { + "epoch": 1.09, + "learning_rate": 0.0001474013554444257, + "loss": 0.8057, + "step": 816 + }, + { + "epoch": 1.09, + "learning_rate": 0.00014727453149724183, + "loss": 0.7562, + "step": 817 + }, + { + "epoch": 1.09, + "learning_rate": 0.00014714760955201306, + "loss": 0.6032, + "step": 818 + }, + { + "epoch": 1.09, + "learning_rate": 0.0001470205898718431, + "loss": 0.9197, + "step": 819 + }, + { + "epoch": 1.09, + "learning_rate": 0.00014689347272003813, + "loss": 0.639, + "step": 820 + }, + { + "epoch": 1.09, + "learning_rate": 0.0001467662583601065, + "loss": 0.6899, + "step": 821 + }, + { + "epoch": 1.1, + "learning_rate": 0.0001466389470557581, + "loss": 0.4985, + "step": 822 + }, + { + "epoch": 1.1, + "learning_rate": 0.0001465115390709036, + "loss": 0.5338, + "step": 823 + }, + { + "epoch": 1.1, + "learning_rate": 0.0001463840346696543, + "loss": 0.6577, + "step": 824 + }, + { + "epoch": 1.1, + "learning_rate": 0.00014625643411632125, + "loss": 0.5817, + "step": 825 + }, + { + "epoch": 1.1, + "learning_rate": 0.00014612873767541485, + "loss": 0.508, + "step": 826 + }, + { + "epoch": 1.1, + "learning_rate": 0.0001460009456116442, + "loss": 0.5341, + "step": 827 + }, + { + "epoch": 1.1, + "learning_rate": 0.00014587305818991673, + "loss": 0.5713, + "step": 828 + }, + { + "epoch": 1.11, + "learning_rate": 0.00014574507567533752, + "loss": 0.5807, + "step": 829 + }, + { + "epoch": 1.11, + "learning_rate": 0.0001456169983332087, + "loss": 0.6298, + "step": 830 + }, + { + "epoch": 1.11, + "learning_rate": 0.00014548882642902898, + "loss": 1.9463, + "step": 831 + }, + { + "epoch": 1.11, + "learning_rate": 0.00014536056022849327, + "loss": 0.7911, + "step": 832 + }, + { + "epoch": 1.11, + "learning_rate": 0.00014523219999749173, + "loss": 0.7806, + "step": 833 + }, + { + "epoch": 1.11, + "learning_rate": 0.00014510374600210953, + "loss": 0.6927, + "step": 834 + }, + { + "epoch": 1.11, + "learning_rate": 0.00014497519850862624, + "loss": 0.6821, + "step": 835 + }, + { + "epoch": 1.11, + "learning_rate": 0.0001448465577835152, + "loss": 0.5841, + "step": 836 + }, + { + "epoch": 1.12, + "learning_rate": 0.000144717824093443, + "loss": 0.5784, + "step": 837 + }, + { + "epoch": 1.12, + "learning_rate": 0.000144588997705269, + "loss": 0.6407, + "step": 838 + }, + { + "epoch": 1.12, + "learning_rate": 0.0001444600788860447, + "loss": 0.6555, + "step": 839 + }, + { + "epoch": 1.12, + "learning_rate": 0.0001443310679030132, + "loss": 0.5664, + "step": 840 + }, + { + "epoch": 1.12, + "learning_rate": 0.00014420196502360863, + "loss": 0.5717, + "step": 841 + }, + { + "epoch": 1.12, + "learning_rate": 0.00014407277051545564, + "loss": 0.5176, + "step": 842 + }, + { + "epoch": 1.12, + "learning_rate": 0.00014394348464636883, + "loss": 0.6081, + "step": 843 + }, + { + "epoch": 1.13, + "learning_rate": 0.00014381410768435216, + "loss": 0.7215, + "step": 844 + }, + { + "epoch": 1.13, + "learning_rate": 0.00014368463989759847, + "loss": 0.6465, + "step": 845 + }, + { + "epoch": 1.13, + "learning_rate": 0.0001435550815544888, + "loss": 0.6049, + "step": 846 + }, + { + "epoch": 1.13, + "learning_rate": 0.00014342543292359197, + "loss": 0.7839, + "step": 847 + }, + { + "epoch": 1.13, + "learning_rate": 0.00014329569427366394, + "loss": 0.5071, + "step": 848 + }, + { + "epoch": 1.13, + "learning_rate": 0.00014316586587364728, + "loss": 0.5441, + "step": 849 + }, + { + "epoch": 1.13, + "learning_rate": 0.00014303594799267065, + "loss": 0.7512, + "step": 850 + }, + { + "epoch": 1.13, + "learning_rate": 0.00014290594090004812, + "loss": 0.7631, + "step": 851 + }, + { + "epoch": 1.14, + "learning_rate": 0.00014277584486527872, + "loss": 0.6088, + "step": 852 + }, + { + "epoch": 1.14, + "learning_rate": 0.00014264566015804593, + "loss": 0.6284, + "step": 853 + }, + { + "epoch": 1.14, + "learning_rate": 0.0001425153870482169, + "loss": 0.7256, + "step": 854 + }, + { + "epoch": 1.14, + "learning_rate": 0.0001423850258058421, + "loss": 0.7163, + "step": 855 + }, + { + "epoch": 1.14, + "learning_rate": 0.00014225457670115482, + "loss": 0.6409, + "step": 856 + }, + { + "epoch": 1.14, + "learning_rate": 0.00014212404000457028, + "loss": 0.6952, + "step": 857 + }, + { + "epoch": 1.14, + "learning_rate": 0.00014199341598668537, + "loss": 0.5267, + "step": 858 + }, + { + "epoch": 1.15, + "learning_rate": 0.00014186270491827805, + "loss": 0.6278, + "step": 859 + }, + { + "epoch": 1.15, + "learning_rate": 0.0001417319070703066, + "loss": 0.5684, + "step": 860 + }, + { + "epoch": 1.15, + "learning_rate": 0.00014160102271390933, + "loss": 0.5782, + "step": 861 + }, + { + "epoch": 1.15, + "learning_rate": 0.00014147005212040374, + "loss": 0.6022, + "step": 862 + }, + { + "epoch": 1.15, + "learning_rate": 0.00014133899556128624, + "loss": 0.7854, + "step": 863 + }, + { + "epoch": 1.15, + "learning_rate": 0.00014120785330823128, + "loss": 0.6847, + "step": 864 + }, + { + "epoch": 1.15, + "learning_rate": 0.00014107662563309114, + "loss": 0.6651, + "step": 865 + }, + { + "epoch": 1.15, + "learning_rate": 0.000140945312807895, + "loss": 0.6497, + "step": 866 + }, + { + "epoch": 1.16, + "learning_rate": 0.00014081391510484864, + "loss": 0.6519, + "step": 867 + }, + { + "epoch": 1.16, + "learning_rate": 0.0001406824327963338, + "loss": 0.5676, + "step": 868 + }, + { + "epoch": 1.16, + "learning_rate": 0.0001405508661549076, + "loss": 0.7146, + "step": 869 + }, + { + "epoch": 1.16, + "learning_rate": 0.00014041921545330193, + "loss": 0.6473, + "step": 870 + }, + { + "epoch": 1.16, + "learning_rate": 0.00014028748096442292, + "loss": 0.5938, + "step": 871 + }, + { + "epoch": 1.16, + "learning_rate": 0.00014015566296135047, + "loss": 0.6573, + "step": 872 + }, + { + "epoch": 1.16, + "learning_rate": 0.00014002376171733759, + "loss": 0.5073, + "step": 873 + }, + { + "epoch": 1.17, + "learning_rate": 0.00013989177750580974, + "loss": 0.8486, + "step": 874 + }, + { + "epoch": 1.17, + "learning_rate": 0.0001397597106003645, + "loss": 0.6166, + "step": 875 + }, + { + "epoch": 1.17, + "learning_rate": 0.00013962756127477077, + "loss": 0.5624, + "step": 876 + }, + { + "epoch": 1.17, + "learning_rate": 0.00013949532980296841, + "loss": 0.6444, + "step": 877 + }, + { + "epoch": 1.17, + "learning_rate": 0.00013936301645906744, + "loss": 0.6191, + "step": 878 + }, + { + "epoch": 1.17, + "learning_rate": 0.00013923062151734769, + "loss": 0.4869, + "step": 879 + }, + { + "epoch": 1.17, + "learning_rate": 0.0001390981452522581, + "loss": 0.6693, + "step": 880 + }, + { + "epoch": 1.17, + "learning_rate": 0.00013896558793841622, + "loss": 0.608, + "step": 881 + }, + { + "epoch": 1.18, + "learning_rate": 0.00013883294985060754, + "loss": 0.5686, + "step": 882 + }, + { + "epoch": 1.18, + "learning_rate": 0.0001387002312637851, + "loss": 0.6524, + "step": 883 + }, + { + "epoch": 1.18, + "learning_rate": 0.00013856743245306867, + "loss": 0.6816, + "step": 884 + }, + { + "epoch": 1.18, + "learning_rate": 0.00013843455369374447, + "loss": 0.6014, + "step": 885 + }, + { + "epoch": 1.18, + "learning_rate": 0.0001383015952612644, + "loss": 0.6389, + "step": 886 + }, + { + "epoch": 1.18, + "learning_rate": 0.0001381685574312454, + "loss": 0.7432, + "step": 887 + }, + { + "epoch": 1.18, + "learning_rate": 0.00013803544047946917, + "loss": 0.5692, + "step": 888 + }, + { + "epoch": 1.19, + "learning_rate": 0.00013790224468188136, + "loss": 0.8574, + "step": 889 + }, + { + "epoch": 1.19, + "learning_rate": 0.00013776897031459104, + "loss": 0.6702, + "step": 890 + }, + { + "epoch": 1.19, + "learning_rate": 0.00013763561765387015, + "loss": 0.7442, + "step": 891 + }, + { + "epoch": 1.19, + "learning_rate": 0.00013750218697615297, + "loss": 0.652, + "step": 892 + }, + { + "epoch": 1.19, + "learning_rate": 0.0001373686785580355, + "loss": 0.746, + "step": 893 + }, + { + "epoch": 1.19, + "learning_rate": 0.00013723509267627479, + "loss": 0.7589, + "step": 894 + }, + { + "epoch": 1.19, + "learning_rate": 0.0001371014296077887, + "loss": 0.5822, + "step": 895 + }, + { + "epoch": 1.19, + "learning_rate": 0.0001369676896296548, + "loss": 0.5692, + "step": 896 + }, + { + "epoch": 1.2, + "learning_rate": 0.00013683387301911037, + "loss": 0.6453, + "step": 897 + }, + { + "epoch": 1.2, + "learning_rate": 0.0001366999800535513, + "loss": 0.5916, + "step": 898 + }, + { + "epoch": 1.2, + "learning_rate": 0.000136566011010532, + "loss": 0.7739, + "step": 899 + }, + { + "epoch": 1.2, + "learning_rate": 0.00013643196616776432, + "loss": 0.5407, + "step": 900 + }, + { + "epoch": 1.2, + "learning_rate": 0.0001362978458031175, + "loss": 0.4962, + "step": 901 + }, + { + "epoch": 1.2, + "learning_rate": 0.00013616365019461716, + "loss": 0.8785, + "step": 902 + }, + { + "epoch": 1.2, + "learning_rate": 0.00013602937962044496, + "loss": 0.5731, + "step": 903 + }, + { + "epoch": 1.21, + "learning_rate": 0.00013589503435893792, + "loss": 0.5532, + "step": 904 + }, + { + "epoch": 1.21, + "learning_rate": 0.000135760614688588, + "loss": 0.6762, + "step": 905 + }, + { + "epoch": 1.21, + "learning_rate": 0.00013562612088804127, + "loss": 0.6163, + "step": 906 + }, + { + "epoch": 1.21, + "learning_rate": 0.0001354915532360975, + "loss": 0.5938, + "step": 907 + }, + { + "epoch": 1.21, + "learning_rate": 0.00013535691201170958, + "loss": 0.7454, + "step": 908 + }, + { + "epoch": 1.21, + "learning_rate": 0.00013522219749398295, + "loss": 0.5695, + "step": 909 + }, + { + "epoch": 1.21, + "learning_rate": 0.00013508740996217493, + "loss": 0.7036, + "step": 910 + }, + { + "epoch": 1.21, + "learning_rate": 0.00013495254969569413, + "loss": 0.5777, + "step": 911 + }, + { + "epoch": 1.22, + "learning_rate": 0.00013481761697410009, + "loss": 0.5765, + "step": 912 + }, + { + "epoch": 1.22, + "learning_rate": 0.00013468261207710242, + "loss": 0.6484, + "step": 913 + }, + { + "epoch": 1.22, + "learning_rate": 0.00013454753528456038, + "loss": 0.6945, + "step": 914 + }, + { + "epoch": 1.22, + "learning_rate": 0.00013441238687648236, + "loss": 0.632, + "step": 915 + }, + { + "epoch": 1.22, + "learning_rate": 0.00013427716713302506, + "loss": 0.7317, + "step": 916 + }, + { + "epoch": 1.22, + "learning_rate": 0.00013414187633449312, + "loss": 0.8531, + "step": 917 + }, + { + "epoch": 1.22, + "learning_rate": 0.00013400651476133844, + "loss": 0.5767, + "step": 918 + }, + { + "epoch": 1.23, + "learning_rate": 0.00013387108269415977, + "loss": 0.5668, + "step": 919 + }, + { + "epoch": 1.23, + "learning_rate": 0.00013373558041370178, + "loss": 0.6109, + "step": 920 + }, + { + "epoch": 1.23, + "learning_rate": 0.00013360000820085484, + "loss": 0.7598, + "step": 921 + }, + { + "epoch": 1.23, + "learning_rate": 0.00013346436633665428, + "loss": 0.6683, + "step": 922 + }, + { + "epoch": 1.23, + "learning_rate": 0.0001333286551022797, + "loss": 0.6422, + "step": 923 + }, + { + "epoch": 1.23, + "learning_rate": 0.00013319287477905464, + "loss": 0.5122, + "step": 924 + }, + { + "epoch": 1.23, + "learning_rate": 0.00013305702564844578, + "loss": 0.7089, + "step": 925 + }, + { + "epoch": 1.23, + "learning_rate": 0.00013292110799206243, + "loss": 0.4886, + "step": 926 + }, + { + "epoch": 1.24, + "learning_rate": 0.00013278512209165602, + "loss": 0.6161, + "step": 927 + }, + { + "epoch": 1.24, + "learning_rate": 0.0001326490682291193, + "loss": 0.534, + "step": 928 + }, + { + "epoch": 1.24, + "learning_rate": 0.00013251294668648611, + "loss": 0.5081, + "step": 929 + }, + { + "epoch": 1.24, + "learning_rate": 0.00013237675774593045, + "loss": 0.6817, + "step": 930 + }, + { + "epoch": 1.24, + "learning_rate": 0.00013224050168976606, + "loss": 0.5695, + "step": 931 + }, + { + "epoch": 1.24, + "learning_rate": 0.0001321041788004458, + "loss": 0.4673, + "step": 932 + }, + { + "epoch": 1.24, + "learning_rate": 0.00013196778936056105, + "loss": 0.5672, + "step": 933 + }, + { + "epoch": 1.25, + "learning_rate": 0.00013183133365284123, + "loss": 0.6797, + "step": 934 + }, + { + "epoch": 1.25, + "learning_rate": 0.00013169481196015305, + "loss": 0.6979, + "step": 935 + }, + { + "epoch": 1.25, + "learning_rate": 0.00013155822456550006, + "loss": 0.7084, + "step": 936 + }, + { + "epoch": 1.25, + "learning_rate": 0.00013142157175202198, + "loss": 0.6153, + "step": 937 + }, + { + "epoch": 1.25, + "learning_rate": 0.00013128485380299408, + "loss": 0.5626, + "step": 938 + }, + { + "epoch": 1.25, + "learning_rate": 0.00013114807100182677, + "loss": 0.7549, + "step": 939 + }, + { + "epoch": 1.25, + "learning_rate": 0.00013101122363206488, + "loss": 0.7096, + "step": 940 + }, + { + "epoch": 1.25, + "learning_rate": 0.00013087431197738694, + "loss": 0.7002, + "step": 941 + }, + { + "epoch": 1.26, + "learning_rate": 0.00013073733632160494, + "loss": 0.7507, + "step": 942 + }, + { + "epoch": 1.26, + "learning_rate": 0.00013060029694866342, + "loss": 0.4978, + "step": 943 + }, + { + "epoch": 1.26, + "learning_rate": 0.00013046319414263902, + "loss": 0.6454, + "step": 944 + }, + { + "epoch": 1.26, + "learning_rate": 0.00013032602818773985, + "loss": 0.8764, + "step": 945 + }, + { + "epoch": 1.26, + "learning_rate": 0.00013018879936830505, + "loss": 0.591, + "step": 946 + }, + { + "epoch": 1.26, + "learning_rate": 0.0001300515079688039, + "loss": 0.587, + "step": 947 + }, + { + "epoch": 1.26, + "learning_rate": 0.00012991415427383556, + "loss": 0.7213, + "step": 948 + }, + { + "epoch": 1.27, + "learning_rate": 0.0001297767385681282, + "loss": 0.6097, + "step": 949 + }, + { + "epoch": 1.27, + "learning_rate": 0.00012963926113653863, + "loss": 0.6996, + "step": 950 + }, + { + "epoch": 1.27, + "learning_rate": 0.0001295017222640516, + "loss": 0.7174, + "step": 951 + }, + { + "epoch": 1.27, + "learning_rate": 0.00012936412223577915, + "loss": 0.7143, + "step": 952 + }, + { + "epoch": 1.27, + "learning_rate": 0.00012922646133696017, + "loss": 0.5663, + "step": 953 + }, + { + "epoch": 1.27, + "learning_rate": 0.00012908873985295968, + "loss": 0.7875, + "step": 954 + }, + { + "epoch": 1.27, + "learning_rate": 0.00012895095806926836, + "loss": 0.4114, + "step": 955 + }, + { + "epoch": 1.27, + "learning_rate": 0.00012881311627150187, + "loss": 0.5148, + "step": 956 + }, + { + "epoch": 1.28, + "learning_rate": 0.00012867521474540017, + "loss": 0.5049, + "step": 957 + }, + { + "epoch": 1.28, + "learning_rate": 0.00012853725377682718, + "loss": 0.6965, + "step": 958 + }, + { + "epoch": 1.28, + "learning_rate": 0.00012839923365176993, + "loss": 0.6105, + "step": 959 + }, + { + "epoch": 1.28, + "learning_rate": 0.0001282611546563382, + "loss": 0.6577, + "step": 960 + }, + { + "epoch": 1.28, + "learning_rate": 0.00012812301707676367, + "loss": 0.6559, + "step": 961 + }, + { + "epoch": 1.28, + "learning_rate": 0.00012798482119939956, + "loss": 0.6486, + "step": 962 + }, + { + "epoch": 1.28, + "learning_rate": 0.0001278465673107199, + "loss": 0.7116, + "step": 963 + }, + { + "epoch": 1.29, + "learning_rate": 0.00012770825569731895, + "loss": 0.489, + "step": 964 + }, + { + "epoch": 1.29, + "learning_rate": 0.0001275698866459107, + "loss": 0.4855, + "step": 965 + }, + { + "epoch": 1.29, + "learning_rate": 0.00012743146044332817, + "loss": 0.7555, + "step": 966 + }, + { + "epoch": 1.29, + "learning_rate": 0.00012729297737652283, + "loss": 0.5122, + "step": 967 + }, + { + "epoch": 1.29, + "learning_rate": 0.00012715443773256402, + "loss": 0.5268, + "step": 968 + }, + { + "epoch": 1.29, + "learning_rate": 0.00012701584179863843, + "loss": 0.6619, + "step": 969 + }, + { + "epoch": 1.29, + "learning_rate": 0.0001268771898620494, + "loss": 0.5818, + "step": 970 + }, + { + "epoch": 1.29, + "learning_rate": 0.00012673848221021633, + "loss": 0.6126, + "step": 971 + }, + { + "epoch": 1.3, + "learning_rate": 0.00012659971913067414, + "loss": 0.6435, + "step": 972 + }, + { + "epoch": 1.3, + "learning_rate": 0.00012646090091107266, + "loss": 0.6286, + "step": 973 + }, + { + "epoch": 1.3, + "learning_rate": 0.000126322027839176, + "loss": 0.4635, + "step": 974 + }, + { + "epoch": 1.3, + "learning_rate": 0.00012618310020286202, + "loss": 0.6147, + "step": 975 + }, + { + "epoch": 1.3, + "learning_rate": 0.00012604411829012166, + "loss": 0.7019, + "step": 976 + }, + { + "epoch": 1.3, + "learning_rate": 0.00012590508238905833, + "loss": 0.6354, + "step": 977 + }, + { + "epoch": 1.3, + "learning_rate": 0.00012576599278788742, + "loss": 0.7266, + "step": 978 + }, + { + "epoch": 1.31, + "learning_rate": 0.0001256268497749356, + "loss": 0.5729, + "step": 979 + }, + { + "epoch": 1.31, + "learning_rate": 0.00012548765363864036, + "loss": 0.4397, + "step": 980 + }, + { + "epoch": 1.31, + "learning_rate": 0.00012534840466754912, + "loss": 0.656, + "step": 981 + }, + { + "epoch": 1.31, + "learning_rate": 0.00012520910315031895, + "loss": 0.6567, + "step": 982 + }, + { + "epoch": 1.31, + "learning_rate": 0.0001250697493757159, + "loss": 0.5867, + "step": 983 + }, + { + "epoch": 1.31, + "learning_rate": 0.0001249303436326142, + "loss": 0.701, + "step": 984 + }, + { + "epoch": 1.31, + "learning_rate": 0.00012479088620999593, + "loss": 0.6854, + "step": 985 + }, + { + "epoch": 1.31, + "learning_rate": 0.0001246513773969502, + "loss": 0.5732, + "step": 986 + }, + { + "epoch": 1.32, + "learning_rate": 0.0001245118174826728, + "loss": 0.7276, + "step": 987 + }, + { + "epoch": 1.32, + "learning_rate": 0.00012437220675646523, + "loss": 0.6758, + "step": 988 + }, + { + "epoch": 1.32, + "learning_rate": 0.00012423254550773458, + "loss": 0.5307, + "step": 989 + }, + { + "epoch": 1.32, + "learning_rate": 0.00012409283402599238, + "loss": 0.6631, + "step": 990 + }, + { + "epoch": 1.32, + "learning_rate": 0.00012395307260085458, + "loss": 0.5795, + "step": 991 + }, + { + "epoch": 1.32, + "learning_rate": 0.0001238132615220405, + "loss": 0.477, + "step": 992 + }, + { + "epoch": 1.32, + "learning_rate": 0.00012367340107937236, + "loss": 0.621, + "step": 993 + }, + { + "epoch": 1.33, + "learning_rate": 0.0001235334915627748, + "loss": 0.6521, + "step": 994 + }, + { + "epoch": 1.33, + "learning_rate": 0.0001233935332622742, + "loss": 0.6035, + "step": 995 + }, + { + "epoch": 1.33, + "learning_rate": 0.00012325352646799795, + "loss": 0.5742, + "step": 996 + }, + { + "epoch": 1.33, + "learning_rate": 0.00012311347147017407, + "loss": 0.638, + "step": 997 + }, + { + "epoch": 1.33, + "learning_rate": 0.00012297336855913047, + "loss": 0.7119, + "step": 998 + }, + { + "epoch": 1.33, + "learning_rate": 0.00012283321802529436, + "loss": 0.6114, + "step": 999 + }, + { + "epoch": 1.33, + "learning_rate": 0.00012269302015919172, + "loss": 0.6364, + "step": 1000 + }, + { + "epoch": 1.33, + "learning_rate": 0.00012255277525144664, + "loss": 0.7205, + "step": 1001 + }, + { + "epoch": 1.34, + "learning_rate": 0.00012241248359278064, + "loss": 0.5875, + "step": 1002 + }, + { + "epoch": 1.34, + "learning_rate": 0.0001222721454740123, + "loss": 0.6314, + "step": 1003 + }, + { + "epoch": 1.34, + "learning_rate": 0.00012213176118605637, + "loss": 0.6022, + "step": 1004 + }, + { + "epoch": 1.34, + "learning_rate": 0.00012199133101992339, + "loss": 0.6624, + "step": 1005 + }, + { + "epoch": 1.34, + "learning_rate": 0.00012185085526671893, + "loss": 0.5933, + "step": 1006 + }, + { + "epoch": 1.34, + "learning_rate": 0.0001217103342176432, + "loss": 0.6812, + "step": 1007 + }, + { + "epoch": 1.34, + "learning_rate": 0.00012156976816399013, + "loss": 0.64, + "step": 1008 + }, + { + "epoch": 1.35, + "learning_rate": 0.00012142915739714707, + "loss": 0.5847, + "step": 1009 + }, + { + "epoch": 1.35, + "learning_rate": 0.00012128850220859397, + "loss": 0.4929, + "step": 1010 + }, + { + "epoch": 1.35, + "learning_rate": 0.00012114780288990297, + "loss": 0.6001, + "step": 1011 + }, + { + "epoch": 1.35, + "learning_rate": 0.00012100705973273765, + "loss": 0.6169, + "step": 1012 + }, + { + "epoch": 1.35, + "learning_rate": 0.00012086627302885234, + "loss": 0.6945, + "step": 1013 + }, + { + "epoch": 1.35, + "learning_rate": 0.00012072544307009184, + "loss": 0.6537, + "step": 1014 + }, + { + "epoch": 1.35, + "learning_rate": 0.00012058457014839046, + "loss": 0.626, + "step": 1015 + }, + { + "epoch": 1.35, + "learning_rate": 0.00012044365455577171, + "loss": 0.6657, + "step": 1016 + }, + { + "epoch": 1.36, + "learning_rate": 0.00012030269658434739, + "loss": 0.6808, + "step": 1017 + }, + { + "epoch": 1.36, + "learning_rate": 0.00012016169652631726, + "loss": 0.5208, + "step": 1018 + }, + { + "epoch": 1.36, + "learning_rate": 0.00012002065467396832, + "loss": 0.5952, + "step": 1019 + }, + { + "epoch": 1.36, + "learning_rate": 0.00011987957131967418, + "loss": 0.6806, + "step": 1020 + }, + { + "epoch": 1.36, + "learning_rate": 0.0001197384467558945, + "loss": 0.6073, + "step": 1021 + }, + { + "epoch": 1.36, + "learning_rate": 0.00011959728127517434, + "loss": 0.5898, + "step": 1022 + }, + { + "epoch": 1.36, + "learning_rate": 0.00011945607517014356, + "loss": 0.6778, + "step": 1023 + }, + { + "epoch": 1.37, + "learning_rate": 0.00011931482873351632, + "loss": 0.5788, + "step": 1024 + }, + { + "epoch": 1.37, + "learning_rate": 0.00011917354225809034, + "loss": 0.7229, + "step": 1025 + }, + { + "epoch": 1.37, + "learning_rate": 0.00011903221603674628, + "loss": 0.5356, + "step": 1026 + }, + { + "epoch": 1.37, + "learning_rate": 0.00011889085036244723, + "loss": 0.5517, + "step": 1027 + }, + { + "epoch": 1.37, + "learning_rate": 0.00011874944552823817, + "loss": 0.7379, + "step": 1028 + }, + { + "epoch": 1.37, + "learning_rate": 0.00011860800182724507, + "loss": 0.4891, + "step": 1029 + }, + { + "epoch": 1.37, + "learning_rate": 0.00011846651955267463, + "loss": 0.6063, + "step": 1030 + }, + { + "epoch": 1.37, + "learning_rate": 0.00011832499899781333, + "loss": 0.5974, + "step": 1031 + }, + { + "epoch": 1.38, + "learning_rate": 0.00011818344045602727, + "loss": 0.7582, + "step": 1032 + }, + { + "epoch": 1.38, + "learning_rate": 0.00011804184422076105, + "loss": 0.5445, + "step": 1033 + }, + { + "epoch": 1.38, + "learning_rate": 0.00011790021058553751, + "loss": 0.6351, + "step": 1034 + }, + { + "epoch": 1.38, + "learning_rate": 0.00011775853984395699, + "loss": 0.7757, + "step": 1035 + }, + { + "epoch": 1.38, + "learning_rate": 0.00011761683228969682, + "loss": 0.5035, + "step": 1036 + }, + { + "epoch": 1.38, + "learning_rate": 0.00011747508821651059, + "loss": 0.6516, + "step": 1037 + }, + { + "epoch": 1.38, + "learning_rate": 0.00011733330791822749, + "loss": 0.6328, + "step": 1038 + }, + { + "epoch": 1.39, + "learning_rate": 0.00011719149168875203, + "loss": 0.5434, + "step": 1039 + }, + { + "epoch": 1.39, + "learning_rate": 0.00011704963982206299, + "loss": 0.6575, + "step": 1040 + }, + { + "epoch": 1.39, + "learning_rate": 0.00011690775261221316, + "loss": 0.5159, + "step": 1041 + }, + { + "epoch": 1.39, + "learning_rate": 0.00011676583035332853, + "loss": 0.641, + "step": 1042 + }, + { + "epoch": 1.39, + "learning_rate": 0.00011662387333960774, + "loss": 0.6043, + "step": 1043 + }, + { + "epoch": 1.39, + "learning_rate": 0.00011648188186532154, + "loss": 0.779, + "step": 1044 + }, + { + "epoch": 1.39, + "learning_rate": 0.00011633985622481202, + "loss": 0.7303, + "step": 1045 + }, + { + "epoch": 1.39, + "learning_rate": 0.00011619779671249223, + "loss": 0.7594, + "step": 1046 + }, + { + "epoch": 1.4, + "learning_rate": 0.00011605570362284524, + "loss": 0.5406, + "step": 1047 + }, + { + "epoch": 1.4, + "learning_rate": 0.00011591357725042393, + "loss": 0.591, + "step": 1048 + }, + { + "epoch": 1.4, + "learning_rate": 0.00011577141788985004, + "loss": 0.7236, + "step": 1049 + }, + { + "epoch": 1.4, + "learning_rate": 0.00011562922583581375, + "loss": 0.4595, + "step": 1050 + }, + { + "epoch": 1.4, + "learning_rate": 0.00011548700138307294, + "loss": 0.6517, + "step": 1051 + }, + { + "epoch": 1.4, + "learning_rate": 0.0001153447448264528, + "loss": 0.7733, + "step": 1052 + }, + { + "epoch": 1.4, + "learning_rate": 0.00011520245646084491, + "loss": 0.793, + "step": 1053 + }, + { + "epoch": 1.41, + "learning_rate": 0.00011506013658120687, + "loss": 0.6748, + "step": 1054 + }, + { + "epoch": 1.41, + "learning_rate": 0.00011491778548256157, + "loss": 0.5877, + "step": 1055 + }, + { + "epoch": 1.41, + "learning_rate": 0.00011477540345999669, + "loss": 0.7135, + "step": 1056 + }, + { + "epoch": 1.41, + "learning_rate": 0.00011463299080866397, + "loss": 0.6537, + "step": 1057 + }, + { + "epoch": 1.41, + "learning_rate": 0.00011449054782377855, + "loss": 0.5969, + "step": 1058 + }, + { + "epoch": 1.41, + "learning_rate": 0.00011434807480061858, + "loss": 0.6718, + "step": 1059 + }, + { + "epoch": 1.41, + "learning_rate": 0.00011420557203452444, + "loss": 0.6952, + "step": 1060 + }, + { + "epoch": 1.41, + "learning_rate": 0.00011406303982089816, + "loss": 0.6231, + "step": 1061 + }, + { + "epoch": 1.42, + "learning_rate": 0.00011392047845520282, + "loss": 0.6124, + "step": 1062 + }, + { + "epoch": 1.42, + "learning_rate": 0.00011377788823296186, + "loss": 0.5751, + "step": 1063 + }, + { + "epoch": 1.42, + "learning_rate": 0.00011363526944975867, + "loss": 0.6537, + "step": 1064 + }, + { + "epoch": 1.42, + "learning_rate": 0.00011349262240123575, + "loss": 0.698, + "step": 1065 + }, + { + "epoch": 1.42, + "learning_rate": 0.00011334994738309423, + "loss": 0.732, + "step": 1066 + }, + { + "epoch": 1.42, + "learning_rate": 0.00011320724469109321, + "loss": 0.6665, + "step": 1067 + }, + { + "epoch": 1.42, + "learning_rate": 0.00011306451462104912, + "loss": 0.5394, + "step": 1068 + }, + { + "epoch": 1.43, + "learning_rate": 0.0001129217574688352, + "loss": 0.5519, + "step": 1069 + }, + { + "epoch": 1.43, + "learning_rate": 0.00011277897353038085, + "loss": 0.5069, + "step": 1070 + }, + { + "epoch": 1.43, + "learning_rate": 0.00011263616310167089, + "loss": 0.735, + "step": 1071 + }, + { + "epoch": 1.43, + "learning_rate": 0.00011249332647874513, + "loss": 0.6731, + "step": 1072 + }, + { + "epoch": 1.43, + "learning_rate": 0.00011235046395769772, + "loss": 0.4655, + "step": 1073 + }, + { + "epoch": 1.43, + "learning_rate": 0.00011220757583467643, + "loss": 0.5297, + "step": 1074 + }, + { + "epoch": 1.43, + "learning_rate": 0.00011206466240588208, + "loss": 0.641, + "step": 1075 + }, + { + "epoch": 1.43, + "learning_rate": 0.00011192172396756797, + "loss": 0.5489, + "step": 1076 + }, + { + "epoch": 1.44, + "learning_rate": 0.00011177876081603933, + "loss": 0.6024, + "step": 1077 + }, + { + "epoch": 1.44, + "learning_rate": 0.00011163577324765248, + "loss": 0.598, + "step": 1078 + }, + { + "epoch": 1.44, + "learning_rate": 0.00011149276155881445, + "loss": 0.5836, + "step": 1079 + }, + { + "epoch": 1.44, + "learning_rate": 0.00011134972604598224, + "loss": 0.6395, + "step": 1080 + }, + { + "epoch": 1.44, + "learning_rate": 0.00011120666700566224, + "loss": 0.6359, + "step": 1081 + }, + { + "epoch": 1.44, + "learning_rate": 0.00011106358473440963, + "loss": 0.5316, + "step": 1082 + }, + { + "epoch": 1.44, + "learning_rate": 0.00011092047952882767, + "loss": 0.511, + "step": 1083 + }, + { + "epoch": 1.45, + "learning_rate": 0.00011077735168556729, + "loss": 0.6941, + "step": 1084 + }, + { + "epoch": 1.45, + "learning_rate": 0.0001106342015013262, + "loss": 0.429, + "step": 1085 + }, + { + "epoch": 1.45, + "learning_rate": 0.00011049102927284857, + "loss": 0.6474, + "step": 1086 + }, + { + "epoch": 1.45, + "learning_rate": 0.00011034783529692416, + "loss": 0.7696, + "step": 1087 + }, + { + "epoch": 1.45, + "learning_rate": 0.00011020461987038781, + "loss": 0.5363, + "step": 1088 + }, + { + "epoch": 1.45, + "learning_rate": 0.00011006138329011895, + "loss": 0.569, + "step": 1089 + }, + { + "epoch": 1.45, + "learning_rate": 0.00010991812585304069, + "loss": 0.6635, + "step": 1090 + }, + { + "epoch": 1.45, + "learning_rate": 0.00010977484785611951, + "loss": 0.6465, + "step": 1091 + }, + { + "epoch": 1.46, + "learning_rate": 0.00010963154959636438, + "loss": 0.4752, + "step": 1092 + }, + { + "epoch": 1.46, + "learning_rate": 0.00010948823137082649, + "loss": 0.5174, + "step": 1093 + }, + { + "epoch": 1.46, + "learning_rate": 0.00010934489347659816, + "loss": 0.4826, + "step": 1094 + }, + { + "epoch": 1.46, + "learning_rate": 0.00010920153621081264, + "loss": 0.6196, + "step": 1095 + }, + { + "epoch": 1.46, + "learning_rate": 0.00010905815987064328, + "loss": 0.7292, + "step": 1096 + }, + { + "epoch": 1.46, + "learning_rate": 0.00010891476475330302, + "loss": 0.8333, + "step": 1097 + }, + { + "epoch": 1.46, + "learning_rate": 0.00010877135115604372, + "loss": 0.4909, + "step": 1098 + }, + { + "epoch": 1.47, + "learning_rate": 0.00010862791937615544, + "loss": 0.6642, + "step": 1099 + }, + { + "epoch": 1.47, + "learning_rate": 0.00010848446971096606, + "loss": 0.5732, + "step": 1100 + }, + { + "epoch": 1.47, + "learning_rate": 0.00010834100245784049, + "loss": 0.6713, + "step": 1101 + }, + { + "epoch": 1.47, + "learning_rate": 0.00010819751791418011, + "loss": 0.6065, + "step": 1102 + }, + { + "epoch": 1.47, + "learning_rate": 0.00010805401637742208, + "loss": 0.7532, + "step": 1103 + }, + { + "epoch": 1.47, + "learning_rate": 0.00010791049814503888, + "loss": 0.6216, + "step": 1104 + }, + { + "epoch": 1.47, + "learning_rate": 0.00010776696351453755, + "loss": 0.6085, + "step": 1105 + }, + { + "epoch": 1.47, + "learning_rate": 0.00010762341278345909, + "loss": 0.6474, + "step": 1106 + }, + { + "epoch": 1.48, + "learning_rate": 0.00010747984624937799, + "loss": 0.5874, + "step": 1107 + }, + { + "epoch": 1.48, + "learning_rate": 0.00010733626420990134, + "loss": 0.7047, + "step": 1108 + }, + { + "epoch": 1.48, + "learning_rate": 0.0001071926669626685, + "loss": 0.7304, + "step": 1109 + }, + { + "epoch": 1.48, + "learning_rate": 0.0001070490548053503, + "loss": 0.6759, + "step": 1110 + }, + { + "epoch": 1.48, + "learning_rate": 0.00010690542803564852, + "loss": 0.6558, + "step": 1111 + }, + { + "epoch": 1.48, + "learning_rate": 0.00010676178695129513, + "loss": 0.6651, + "step": 1112 + }, + { + "epoch": 1.48, + "learning_rate": 0.00010661813185005187, + "loss": 0.6029, + "step": 1113 + }, + { + "epoch": 1.49, + "learning_rate": 0.00010647446302970954, + "loss": 0.6244, + "step": 1114 + }, + { + "epoch": 1.49, + "learning_rate": 0.00010633078078808731, + "loss": 0.5587, + "step": 1115 + }, + { + "epoch": 1.49, + "learning_rate": 0.00010618708542303226, + "loss": 0.6508, + "step": 1116 + }, + { + "epoch": 1.49, + "learning_rate": 0.00010604337723241853, + "loss": 0.5252, + "step": 1117 + }, + { + "epoch": 1.49, + "learning_rate": 0.00010589965651414704, + "loss": 0.5962, + "step": 1118 + }, + { + "epoch": 1.49, + "learning_rate": 0.00010575592356614452, + "loss": 0.6492, + "step": 1119 + }, + { + "epoch": 1.49, + "learning_rate": 0.00010561217868636313, + "loss": 0.5548, + "step": 1120 + }, + { + "epoch": 1.49, + "learning_rate": 0.00010546842217277974, + "loss": 0.5842, + "step": 1121 + }, + { + "epoch": 1.5, + "learning_rate": 0.00010532465432339538, + "loss": 0.4654, + "step": 1122 + }, + { + "epoch": 1.5, + "learning_rate": 0.00010518087543623447, + "loss": 0.7025, + "step": 1123 + }, + { + "epoch": 1.5, + "learning_rate": 0.00010503708580934442, + "loss": 0.7613, + "step": 1124 + }, + { + "epoch": 1.5, + "learning_rate": 0.00010489328574079486, + "loss": 0.6232, + "step": 1125 + }, + { + "epoch": 1.5, + "learning_rate": 0.00010474947552867706, + "loss": 0.5128, + "step": 1126 + }, + { + "epoch": 1.5, + "learning_rate": 0.0001046056554711034, + "loss": 0.6643, + "step": 1127 + }, + { + "epoch": 1.5, + "learning_rate": 0.00010446182586620648, + "loss": 0.5394, + "step": 1128 + }, + { + "epoch": 1.51, + "learning_rate": 0.00010431798701213886, + "loss": 0.6618, + "step": 1129 + }, + { + "epoch": 1.51, + "learning_rate": 0.00010417413920707222, + "loss": 0.6952, + "step": 1130 + }, + { + "epoch": 1.51, + "learning_rate": 0.00010403028274919682, + "loss": 0.6442, + "step": 1131 + }, + { + "epoch": 1.51, + "learning_rate": 0.00010388641793672078, + "loss": 0.624, + "step": 1132 + }, + { + "epoch": 1.51, + "learning_rate": 0.00010374254506786962, + "loss": 0.5736, + "step": 1133 + }, + { + "epoch": 1.51, + "learning_rate": 0.00010359866444088555, + "loss": 0.6099, + "step": 1134 + }, + { + "epoch": 1.51, + "learning_rate": 0.0001034547763540268, + "loss": 0.5952, + "step": 1135 + }, + { + "epoch": 1.51, + "learning_rate": 0.00010331088110556717, + "loss": 0.633, + "step": 1136 + }, + { + "epoch": 1.52, + "learning_rate": 0.00010316697899379515, + "loss": 0.654, + "step": 1137 + }, + { + "epoch": 1.52, + "learning_rate": 0.00010302307031701364, + "loss": 0.5691, + "step": 1138 + }, + { + "epoch": 1.52, + "learning_rate": 0.000102879155373539, + "loss": 0.6231, + "step": 1139 + }, + { + "epoch": 1.52, + "learning_rate": 0.0001027352344617007, + "loss": 0.6383, + "step": 1140 + }, + { + "epoch": 1.52, + "learning_rate": 0.00010259130787984043, + "loss": 0.5586, + "step": 1141 + }, + { + "epoch": 1.52, + "learning_rate": 0.00010244737592631181, + "loss": 0.5455, + "step": 1142 + }, + { + "epoch": 1.52, + "learning_rate": 0.0001023034388994795, + "loss": 0.5995, + "step": 1143 + }, + { + "epoch": 1.53, + "learning_rate": 0.00010215949709771866, + "loss": 0.7648, + "step": 1144 + }, + { + "epoch": 1.53, + "learning_rate": 0.00010201555081941439, + "loss": 0.6018, + "step": 1145 + }, + { + "epoch": 1.53, + "learning_rate": 0.00010187160036296103, + "loss": 0.5134, + "step": 1146 + }, + { + "epoch": 1.53, + "learning_rate": 0.00010172764602676166, + "loss": 0.6937, + "step": 1147 + }, + { + "epoch": 1.53, + "learning_rate": 0.00010158368810922729, + "loss": 0.5815, + "step": 1148 + }, + { + "epoch": 1.53, + "learning_rate": 0.00010143972690877646, + "loss": 0.6674, + "step": 1149 + }, + { + "epoch": 1.53, + "learning_rate": 0.00010129576272383445, + "loss": 0.6097, + "step": 1150 + }, + { + "epoch": 1.53, + "learning_rate": 0.00010115179585283273, + "loss": 0.8013, + "step": 1151 + }, + { + "epoch": 1.54, + "learning_rate": 0.0001010078265942084, + "loss": 0.6637, + "step": 1152 + }, + { + "epoch": 1.54, + "learning_rate": 0.0001008638552464034, + "loss": 0.617, + "step": 1153 + }, + { + "epoch": 1.54, + "learning_rate": 0.00010071988210786411, + "loss": 0.7793, + "step": 1154 + }, + { + "epoch": 1.54, + "learning_rate": 0.00010057590747704058, + "loss": 0.528, + "step": 1155 + }, + { + "epoch": 1.54, + "learning_rate": 0.00010043193165238591, + "loss": 0.5632, + "step": 1156 + }, + { + "epoch": 1.54, + "learning_rate": 0.00010028795493235575, + "loss": 0.5385, + "step": 1157 + }, + { + "epoch": 1.54, + "learning_rate": 0.00010014397761540755, + "loss": 0.6662, + "step": 1158 + }, + { + "epoch": 1.55, + "learning_rate": 0.0001, + "loss": 0.487, + "step": 1159 + }, + { + "epoch": 1.55, + "learning_rate": 9.985602238459247e-05, + "loss": 0.5168, + "step": 1160 + }, + { + "epoch": 1.55, + "learning_rate": 9.971204506764427e-05, + "loss": 0.5498, + "step": 1161 + }, + { + "epoch": 1.55, + "learning_rate": 9.956806834761411e-05, + "loss": 0.6681, + "step": 1162 + }, + { + "epoch": 1.55, + "learning_rate": 9.942409252295946e-05, + "loss": 0.547, + "step": 1163 + }, + { + "epoch": 1.55, + "learning_rate": 9.92801178921359e-05, + "loss": 0.5374, + "step": 1164 + }, + { + "epoch": 1.55, + "learning_rate": 9.913614475359662e-05, + "loss": 0.6526, + "step": 1165 + }, + { + "epoch": 1.55, + "learning_rate": 9.899217340579164e-05, + "loss": 0.7272, + "step": 1166 + }, + { + "epoch": 1.56, + "learning_rate": 9.884820414716728e-05, + "loss": 0.5324, + "step": 1167 + }, + { + "epoch": 1.56, + "learning_rate": 9.870423727616558e-05, + "loss": 0.8317, + "step": 1168 + }, + { + "epoch": 1.56, + "learning_rate": 9.856027309122355e-05, + "loss": 0.7425, + "step": 1169 + }, + { + "epoch": 1.56, + "learning_rate": 9.841631189077269e-05, + "loss": 0.5217, + "step": 1170 + }, + { + "epoch": 1.56, + "learning_rate": 9.827235397323839e-05, + "loss": 0.5789, + "step": 1171 + }, + { + "epoch": 1.56, + "learning_rate": 9.812839963703899e-05, + "loss": 0.6686, + "step": 1172 + }, + { + "epoch": 1.56, + "learning_rate": 9.798444918058563e-05, + "loss": 0.6336, + "step": 1173 + }, + { + "epoch": 1.57, + "learning_rate": 9.784050290228134e-05, + "loss": 0.4526, + "step": 1174 + }, + { + "epoch": 1.57, + "learning_rate": 9.769656110052053e-05, + "loss": 0.5258, + "step": 1175 + }, + { + "epoch": 1.57, + "learning_rate": 9.75526240736882e-05, + "loss": 0.3994, + "step": 1176 + }, + { + "epoch": 1.57, + "learning_rate": 9.740869212015958e-05, + "loss": 0.6213, + "step": 1177 + }, + { + "epoch": 1.57, + "learning_rate": 9.726476553829932e-05, + "loss": 0.6058, + "step": 1178 + }, + { + "epoch": 1.57, + "learning_rate": 9.712084462646098e-05, + "loss": 0.5478, + "step": 1179 + }, + { + "epoch": 1.57, + "learning_rate": 9.69769296829864e-05, + "loss": 0.5626, + "step": 1180 + }, + { + "epoch": 1.57, + "learning_rate": 9.683302100620487e-05, + "loss": 0.5561, + "step": 1181 + }, + { + "epoch": 1.58, + "learning_rate": 9.668911889443285e-05, + "loss": 0.4083, + "step": 1182 + }, + { + "epoch": 1.58, + "learning_rate": 9.654522364597319e-05, + "loss": 0.6723, + "step": 1183 + }, + { + "epoch": 1.58, + "learning_rate": 9.640133555911449e-05, + "loss": 0.7471, + "step": 1184 + }, + { + "epoch": 1.58, + "learning_rate": 9.62574549321304e-05, + "loss": 0.7165, + "step": 1185 + }, + { + "epoch": 1.58, + "learning_rate": 9.611358206327923e-05, + "loss": 0.5743, + "step": 1186 + }, + { + "epoch": 1.58, + "learning_rate": 9.596971725080319e-05, + "loss": 0.6884, + "step": 1187 + }, + { + "epoch": 1.58, + "learning_rate": 9.582586079292778e-05, + "loss": 0.5175, + "step": 1188 + }, + { + "epoch": 1.59, + "learning_rate": 9.568201298786119e-05, + "loss": 0.5781, + "step": 1189 + }, + { + "epoch": 1.59, + "learning_rate": 9.553817413379356e-05, + "loss": 0.6548, + "step": 1190 + }, + { + "epoch": 1.59, + "learning_rate": 9.539434452889664e-05, + "loss": 0.6108, + "step": 1191 + }, + { + "epoch": 1.59, + "learning_rate": 9.525052447132294e-05, + "loss": 0.609, + "step": 1192 + }, + { + "epoch": 1.59, + "learning_rate": 9.510671425920516e-05, + "loss": 0.728, + "step": 1193 + }, + { + "epoch": 1.59, + "learning_rate": 9.496291419065561e-05, + "loss": 0.5119, + "step": 1194 + }, + { + "epoch": 1.59, + "learning_rate": 9.481912456376555e-05, + "loss": 0.5221, + "step": 1195 + }, + { + "epoch": 1.59, + "learning_rate": 9.467534567660466e-05, + "loss": 0.6592, + "step": 1196 + }, + { + "epoch": 1.6, + "learning_rate": 9.453157782722027e-05, + "loss": 0.5713, + "step": 1197 + }, + { + "epoch": 1.6, + "learning_rate": 9.43878213136369e-05, + "loss": 0.7426, + "step": 1198 + }, + { + "epoch": 1.6, + "learning_rate": 9.42440764338555e-05, + "loss": 0.6154, + "step": 1199 + }, + { + "epoch": 1.6, + "learning_rate": 9.410034348585298e-05, + "loss": 0.6424, + "step": 1200 + }, + { + "epoch": 1.6, + "learning_rate": 9.395662276758147e-05, + "loss": 0.5176, + "step": 1201 + }, + { + "epoch": 1.6, + "learning_rate": 9.381291457696779e-05, + "loss": 0.6709, + "step": 1202 + }, + { + "epoch": 1.6, + "learning_rate": 9.36692192119127e-05, + "loss": 0.658, + "step": 1203 + }, + { + "epoch": 1.61, + "learning_rate": 9.352553697029048e-05, + "loss": 0.5497, + "step": 1204 + }, + { + "epoch": 1.61, + "learning_rate": 9.338186814994814e-05, + "loss": 0.823, + "step": 1205 + }, + { + "epoch": 1.61, + "learning_rate": 9.323821304870489e-05, + "loss": 0.7548, + "step": 1206 + }, + { + "epoch": 1.61, + "learning_rate": 9.309457196435153e-05, + "loss": 0.5285, + "step": 1207 + }, + { + "epoch": 1.61, + "learning_rate": 9.295094519464972e-05, + "loss": 0.5574, + "step": 1208 + }, + { + "epoch": 1.61, + "learning_rate": 9.280733303733151e-05, + "loss": 0.6371, + "step": 1209 + }, + { + "epoch": 1.61, + "learning_rate": 9.266373579009867e-05, + "loss": 0.7519, + "step": 1210 + }, + { + "epoch": 1.61, + "learning_rate": 9.252015375062206e-05, + "loss": 0.6185, + "step": 1211 + }, + { + "epoch": 1.62, + "learning_rate": 9.237658721654092e-05, + "loss": 0.5116, + "step": 1212 + }, + { + "epoch": 1.62, + "learning_rate": 9.223303648546249e-05, + "loss": 0.5602, + "step": 1213 + }, + { + "epoch": 1.62, + "learning_rate": 9.208950185496114e-05, + "loss": 0.5772, + "step": 1214 + }, + { + "epoch": 1.62, + "learning_rate": 9.194598362257791e-05, + "loss": 0.6236, + "step": 1215 + }, + { + "epoch": 1.62, + "learning_rate": 9.180248208581994e-05, + "loss": 0.6236, + "step": 1216 + }, + { + "epoch": 1.62, + "learning_rate": 9.165899754215955e-05, + "loss": 0.6082, + "step": 1217 + }, + { + "epoch": 1.62, + "learning_rate": 9.151553028903396e-05, + "loss": 0.728, + "step": 1218 + }, + { + "epoch": 1.63, + "learning_rate": 9.137208062384456e-05, + "loss": 0.6393, + "step": 1219 + }, + { + "epoch": 1.63, + "learning_rate": 9.122864884395633e-05, + "loss": 0.6315, + "step": 1220 + }, + { + "epoch": 1.63, + "learning_rate": 9.1085235246697e-05, + "loss": 0.6592, + "step": 1221 + }, + { + "epoch": 1.63, + "learning_rate": 9.094184012935674e-05, + "loss": 0.5673, + "step": 1222 + }, + { + "epoch": 1.63, + "learning_rate": 9.079846378918737e-05, + "loss": 0.5315, + "step": 1223 + }, + { + "epoch": 1.63, + "learning_rate": 9.065510652340185e-05, + "loss": 0.6109, + "step": 1224 + }, + { + "epoch": 1.63, + "learning_rate": 9.051176862917356e-05, + "loss": 0.6455, + "step": 1225 + }, + { + "epoch": 1.63, + "learning_rate": 9.036845040363562e-05, + "loss": 0.6155, + "step": 1226 + }, + { + "epoch": 1.64, + "learning_rate": 9.022515214388053e-05, + "loss": 0.7635, + "step": 1227 + }, + { + "epoch": 1.64, + "learning_rate": 9.008187414695932e-05, + "loss": 0.4373, + "step": 1228 + }, + { + "epoch": 1.64, + "learning_rate": 8.993861670988111e-05, + "loss": 0.6805, + "step": 1229 + }, + { + "epoch": 1.64, + "learning_rate": 8.979538012961221e-05, + "loss": 0.6403, + "step": 1230 + }, + { + "epoch": 1.64, + "learning_rate": 8.965216470307587e-05, + "loss": 0.731, + "step": 1231 + }, + { + "epoch": 1.64, + "learning_rate": 8.950897072715144e-05, + "loss": 0.6969, + "step": 1232 + }, + { + "epoch": 1.64, + "learning_rate": 8.93657984986738e-05, + "loss": 0.719, + "step": 1233 + }, + { + "epoch": 1.65, + "learning_rate": 8.922264831443274e-05, + "loss": 0.585, + "step": 1234 + }, + { + "epoch": 1.65, + "learning_rate": 8.907952047117234e-05, + "loss": 0.7855, + "step": 1235 + }, + { + "epoch": 1.65, + "learning_rate": 8.89364152655904e-05, + "loss": 0.648, + "step": 1236 + }, + { + "epoch": 1.65, + "learning_rate": 8.879333299433777e-05, + "loss": 0.8423, + "step": 1237 + }, + { + "epoch": 1.65, + "learning_rate": 8.865027395401778e-05, + "loss": 0.6295, + "step": 1238 + }, + { + "epoch": 1.65, + "learning_rate": 8.850723844118556e-05, + "loss": 0.5245, + "step": 1239 + }, + { + "epoch": 1.65, + "learning_rate": 8.836422675234754e-05, + "loss": 0.5022, + "step": 1240 + }, + { + "epoch": 1.65, + "learning_rate": 8.82212391839607e-05, + "loss": 0.5885, + "step": 1241 + }, + { + "epoch": 1.66, + "learning_rate": 8.807827603243204e-05, + "loss": 0.5466, + "step": 1242 + }, + { + "epoch": 1.66, + "learning_rate": 8.793533759411796e-05, + "loss": 0.4989, + "step": 1243 + }, + { + "epoch": 1.66, + "learning_rate": 8.779242416532361e-05, + "loss": 0.5479, + "step": 1244 + }, + { + "epoch": 1.66, + "learning_rate": 8.764953604230229e-05, + "loss": 0.6424, + "step": 1245 + }, + { + "epoch": 1.66, + "learning_rate": 8.750667352125487e-05, + "loss": 0.5221, + "step": 1246 + }, + { + "epoch": 1.66, + "learning_rate": 8.736383689832914e-05, + "loss": 0.5971, + "step": 1247 + }, + { + "epoch": 1.66, + "learning_rate": 8.722102646961919e-05, + "loss": 0.4959, + "step": 1248 + }, + { + "epoch": 1.67, + "learning_rate": 8.707824253116481e-05, + "loss": 0.3366, + "step": 1249 + }, + { + "epoch": 1.67, + "learning_rate": 8.69354853789509e-05, + "loss": 0.3726, + "step": 1250 + }, + { + "epoch": 1.67, + "learning_rate": 8.679275530890681e-05, + "loss": 0.4428, + "step": 1251 + }, + { + "epoch": 1.67, + "learning_rate": 8.665005261690579e-05, + "loss": 0.5772, + "step": 1252 + }, + { + "epoch": 1.67, + "learning_rate": 8.650737759876427e-05, + "loss": 0.6104, + "step": 1253 + }, + { + "epoch": 1.67, + "learning_rate": 8.636473055024134e-05, + "loss": 0.6651, + "step": 1254 + }, + { + "epoch": 1.67, + "learning_rate": 8.622211176703815e-05, + "loss": 0.6323, + "step": 1255 + }, + { + "epoch": 1.67, + "learning_rate": 8.607952154479723e-05, + "loss": 0.6176, + "step": 1256 + }, + { + "epoch": 1.68, + "learning_rate": 8.593696017910186e-05, + "loss": 0.5383, + "step": 1257 + }, + { + "epoch": 1.68, + "learning_rate": 8.579442796547558e-05, + "loss": 0.6834, + "step": 1258 + }, + { + "epoch": 1.68, + "learning_rate": 8.565192519938145e-05, + "loss": 0.5084, + "step": 1259 + }, + { + "epoch": 1.68, + "learning_rate": 8.550945217622146e-05, + "loss": 0.4672, + "step": 1260 + }, + { + "epoch": 1.68, + "learning_rate": 8.536700919133609e-05, + "loss": 0.5449, + "step": 1261 + }, + { + "epoch": 1.68, + "learning_rate": 8.522459654000332e-05, + "loss": 0.5759, + "step": 1262 + }, + { + "epoch": 1.68, + "learning_rate": 8.508221451743844e-05, + "loss": 0.4519, + "step": 1263 + }, + { + "epoch": 1.69, + "learning_rate": 8.493986341879314e-05, + "loss": 0.55, + "step": 1264 + }, + { + "epoch": 1.69, + "learning_rate": 8.479754353915514e-05, + "loss": 0.4691, + "step": 1265 + }, + { + "epoch": 1.69, + "learning_rate": 8.465525517354724e-05, + "loss": 0.7719, + "step": 1266 + }, + { + "epoch": 1.69, + "learning_rate": 8.451299861692707e-05, + "loss": 0.5472, + "step": 1267 + }, + { + "epoch": 1.69, + "learning_rate": 8.437077416418627e-05, + "loss": 0.5773, + "step": 1268 + }, + { + "epoch": 1.69, + "learning_rate": 8.422858211014997e-05, + "loss": 0.6816, + "step": 1269 + }, + { + "epoch": 1.69, + "learning_rate": 8.408642274957612e-05, + "loss": 0.6567, + "step": 1270 + }, + { + "epoch": 1.69, + "learning_rate": 8.39442963771548e-05, + "loss": 0.4218, + "step": 1271 + }, + { + "epoch": 1.7, + "learning_rate": 8.380220328750781e-05, + "loss": 0.8275, + "step": 1272 + }, + { + "epoch": 1.7, + "learning_rate": 8.366014377518799e-05, + "loss": 0.52, + "step": 1273 + }, + { + "epoch": 1.7, + "learning_rate": 8.351811813467851e-05, + "loss": 0.5299, + "step": 1274 + }, + { + "epoch": 1.7, + "learning_rate": 8.337612666039227e-05, + "loss": 0.7501, + "step": 1275 + }, + { + "epoch": 1.7, + "learning_rate": 8.32341696466715e-05, + "loss": 0.5759, + "step": 1276 + }, + { + "epoch": 1.7, + "learning_rate": 8.309224738778685e-05, + "loss": 0.6248, + "step": 1277 + }, + { + "epoch": 1.7, + "learning_rate": 8.295036017793702e-05, + "loss": 0.521, + "step": 1278 + }, + { + "epoch": 1.71, + "learning_rate": 8.2808508311248e-05, + "loss": 0.6641, + "step": 1279 + }, + { + "epoch": 1.71, + "learning_rate": 8.266669208177252e-05, + "loss": 0.6625, + "step": 1280 + }, + { + "epoch": 1.71, + "learning_rate": 8.252491178348945e-05, + "loss": 0.6409, + "step": 1281 + }, + { + "epoch": 1.71, + "learning_rate": 8.238316771030318e-05, + "loss": 0.6664, + "step": 1282 + }, + { + "epoch": 1.71, + "learning_rate": 8.224146015604302e-05, + "loss": 0.7011, + "step": 1283 + }, + { + "epoch": 1.71, + "learning_rate": 8.209978941446252e-05, + "loss": 0.756, + "step": 1284 + }, + { + "epoch": 1.71, + "learning_rate": 8.195815577923897e-05, + "loss": 0.6714, + "step": 1285 + }, + { + "epoch": 1.71, + "learning_rate": 8.181655954397275e-05, + "loss": 0.4277, + "step": 1286 + }, + { + "epoch": 1.72, + "learning_rate": 8.167500100218666e-05, + "loss": 0.5623, + "step": 1287 + }, + { + "epoch": 1.72, + "learning_rate": 8.153348044732543e-05, + "loss": 0.6501, + "step": 1288 + }, + { + "epoch": 1.72, + "learning_rate": 8.139199817275496e-05, + "loss": 0.5333, + "step": 1289 + }, + { + "epoch": 1.72, + "learning_rate": 8.125055447176186e-05, + "loss": 0.505, + "step": 1290 + }, + { + "epoch": 1.72, + "learning_rate": 8.110914963755277e-05, + "loss": 0.6359, + "step": 1291 + }, + { + "epoch": 1.72, + "learning_rate": 8.096778396325377e-05, + "loss": 0.5734, + "step": 1292 + }, + { + "epoch": 1.72, + "learning_rate": 8.082645774190971e-05, + "loss": 0.4936, + "step": 1293 + }, + { + "epoch": 1.73, + "learning_rate": 8.068517126648369e-05, + "loss": 0.5992, + "step": 1294 + }, + { + "epoch": 1.73, + "learning_rate": 8.054392482985646e-05, + "loss": 0.3389, + "step": 1295 + }, + { + "epoch": 1.73, + "learning_rate": 8.04027187248257e-05, + "loss": 0.4518, + "step": 1296 + }, + { + "epoch": 1.73, + "learning_rate": 8.026155324410555e-05, + "loss": 0.5322, + "step": 1297 + }, + { + "epoch": 1.73, + "learning_rate": 8.012042868032585e-05, + "loss": 0.5758, + "step": 1298 + }, + { + "epoch": 1.73, + "learning_rate": 7.99793453260317e-05, + "loss": 0.8122, + "step": 1299 + }, + { + "epoch": 1.73, + "learning_rate": 7.983830347368276e-05, + "loss": 0.5451, + "step": 1300 + }, + { + "epoch": 1.73, + "learning_rate": 7.969730341565262e-05, + "loss": 0.7109, + "step": 1301 + }, + { + "epoch": 1.74, + "learning_rate": 7.955634544422834e-05, + "loss": 0.5986, + "step": 1302 + }, + { + "epoch": 1.74, + "learning_rate": 7.941542985160955e-05, + "loss": 0.5262, + "step": 1303 + }, + { + "epoch": 1.74, + "learning_rate": 7.927455692990818e-05, + "loss": 0.587, + "step": 1304 + }, + { + "epoch": 1.74, + "learning_rate": 7.913372697114764e-05, + "loss": 0.5661, + "step": 1305 + }, + { + "epoch": 1.74, + "learning_rate": 7.899294026726241e-05, + "loss": 0.6228, + "step": 1306 + }, + { + "epoch": 1.74, + "learning_rate": 7.885219711009704e-05, + "loss": 0.5837, + "step": 1307 + }, + { + "epoch": 1.74, + "learning_rate": 7.871149779140604e-05, + "loss": 0.6917, + "step": 1308 + }, + { + "epoch": 1.75, + "learning_rate": 7.857084260285294e-05, + "loss": 0.6235, + "step": 1309 + }, + { + "epoch": 1.75, + "learning_rate": 7.843023183600988e-05, + "loss": 0.5925, + "step": 1310 + }, + { + "epoch": 1.75, + "learning_rate": 7.828966578235685e-05, + "loss": 0.4964, + "step": 1311 + }, + { + "epoch": 1.75, + "learning_rate": 7.81491447332811e-05, + "loss": 0.5553, + "step": 1312 + }, + { + "epoch": 1.75, + "learning_rate": 7.800866898007663e-05, + "loss": 0.6669, + "step": 1313 + }, + { + "epoch": 1.75, + "learning_rate": 7.786823881394364e-05, + "loss": 0.4613, + "step": 1314 + }, + { + "epoch": 1.75, + "learning_rate": 7.772785452598774e-05, + "loss": 0.6099, + "step": 1315 + }, + { + "epoch": 1.75, + "learning_rate": 7.758751640721937e-05, + "loss": 0.6317, + "step": 1316 + }, + { + "epoch": 1.76, + "learning_rate": 7.744722474855336e-05, + "loss": 0.7409, + "step": 1317 + }, + { + "epoch": 1.76, + "learning_rate": 7.730697984080827e-05, + "loss": 0.6339, + "step": 1318 + }, + { + "epoch": 1.76, + "learning_rate": 7.716678197470564e-05, + "loss": 0.46, + "step": 1319 + }, + { + "epoch": 1.76, + "learning_rate": 7.702663144086957e-05, + "loss": 0.6124, + "step": 1320 + }, + { + "epoch": 1.76, + "learning_rate": 7.688652852982595e-05, + "loss": 0.6611, + "step": 1321 + }, + { + "epoch": 1.76, + "learning_rate": 7.674647353200208e-05, + "loss": 0.5532, + "step": 1322 + }, + { + "epoch": 1.76, + "learning_rate": 7.660646673772582e-05, + "loss": 0.4256, + "step": 1323 + }, + { + "epoch": 1.77, + "learning_rate": 7.64665084372252e-05, + "loss": 0.5391, + "step": 1324 + }, + { + "epoch": 1.77, + "learning_rate": 7.632659892062765e-05, + "loss": 0.2778, + "step": 1325 + }, + { + "epoch": 1.77, + "learning_rate": 7.618673847795953e-05, + "loss": 0.6374, + "step": 1326 + }, + { + "epoch": 1.77, + "learning_rate": 7.604692739914542e-05, + "loss": 0.589, + "step": 1327 + }, + { + "epoch": 1.77, + "learning_rate": 7.590716597400761e-05, + "loss": 0.5692, + "step": 1328 + }, + { + "epoch": 1.77, + "learning_rate": 7.576745449226547e-05, + "loss": 0.6065, + "step": 1329 + }, + { + "epoch": 1.77, + "learning_rate": 7.562779324353477e-05, + "loss": 0.588, + "step": 1330 + }, + { + "epoch": 1.77, + "learning_rate": 7.548818251732723e-05, + "loss": 0.732, + "step": 1331 + }, + { + "epoch": 1.78, + "learning_rate": 7.53486226030498e-05, + "loss": 0.6655, + "step": 1332 + }, + { + "epoch": 1.78, + "learning_rate": 7.52091137900041e-05, + "loss": 0.4851, + "step": 1333 + }, + { + "epoch": 1.78, + "learning_rate": 7.506965636738583e-05, + "loss": 0.5523, + "step": 1334 + }, + { + "epoch": 1.78, + "learning_rate": 7.493025062428413e-05, + "loss": 0.4606, + "step": 1335 + }, + { + "epoch": 1.78, + "learning_rate": 7.479089684968106e-05, + "loss": 0.5971, + "step": 1336 + }, + { + "epoch": 1.78, + "learning_rate": 7.46515953324509e-05, + "loss": 0.3929, + "step": 1337 + }, + { + "epoch": 1.78, + "learning_rate": 7.451234636135969e-05, + "loss": 0.6812, + "step": 1338 + }, + { + "epoch": 1.79, + "learning_rate": 7.437315022506439e-05, + "loss": 0.6789, + "step": 1339 + }, + { + "epoch": 1.79, + "learning_rate": 7.42340072121126e-05, + "loss": 0.4871, + "step": 1340 + }, + { + "epoch": 1.79, + "learning_rate": 7.40949176109417e-05, + "loss": 0.4723, + "step": 1341 + }, + { + "epoch": 1.79, + "learning_rate": 7.395588170987839e-05, + "loss": 0.5882, + "step": 1342 + }, + { + "epoch": 1.79, + "learning_rate": 7.381689979713799e-05, + "loss": 0.6154, + "step": 1343 + }, + { + "epoch": 1.79, + "learning_rate": 7.367797216082402e-05, + "loss": 0.4924, + "step": 1344 + }, + { + "epoch": 1.79, + "learning_rate": 7.353909908892736e-05, + "loss": 0.6011, + "step": 1345 + }, + { + "epoch": 1.79, + "learning_rate": 7.340028086932587e-05, + "loss": 0.619, + "step": 1346 + }, + { + "epoch": 1.8, + "learning_rate": 7.326151778978372e-05, + "loss": 0.5211, + "step": 1347 + }, + { + "epoch": 1.8, + "learning_rate": 7.312281013795064e-05, + "loss": 0.2716, + "step": 1348 + }, + { + "epoch": 1.8, + "learning_rate": 7.298415820136159e-05, + "loss": 0.4895, + "step": 1349 + }, + { + "epoch": 1.8, + "learning_rate": 7.284556226743598e-05, + "loss": 0.5577, + "step": 1350 + }, + { + "epoch": 1.8, + "learning_rate": 7.270702262347722e-05, + "loss": 0.6368, + "step": 1351 + }, + { + "epoch": 1.8, + "learning_rate": 7.256853955667187e-05, + "loss": 0.4952, + "step": 1352 + }, + { + "epoch": 1.8, + "learning_rate": 7.243011335408931e-05, + "loss": 0.5676, + "step": 1353 + }, + { + "epoch": 1.81, + "learning_rate": 7.229174430268104e-05, + "loss": 0.5283, + "step": 1354 + }, + { + "epoch": 1.81, + "learning_rate": 7.215343268928012e-05, + "loss": 0.6, + "step": 1355 + }, + { + "epoch": 1.81, + "learning_rate": 7.201517880060049e-05, + "loss": 0.5529, + "step": 1356 + }, + { + "epoch": 1.81, + "learning_rate": 7.187698292323638e-05, + "loss": 0.6129, + "step": 1357 + }, + { + "epoch": 1.81, + "learning_rate": 7.173884534366182e-05, + "loss": 0.6357, + "step": 1358 + }, + { + "epoch": 1.81, + "learning_rate": 7.160076634823007e-05, + "loss": 0.5877, + "step": 1359 + }, + { + "epoch": 1.81, + "learning_rate": 7.146274622317288e-05, + "loss": 0.7829, + "step": 1360 + }, + { + "epoch": 1.81, + "learning_rate": 7.132478525459985e-05, + "loss": 0.3495, + "step": 1361 + }, + { + "epoch": 1.82, + "learning_rate": 7.118688372849815e-05, + "loss": 0.6815, + "step": 1362 + }, + { + "epoch": 1.82, + "learning_rate": 7.104904193073164e-05, + "loss": 0.6667, + "step": 1363 + }, + { + "epoch": 1.82, + "learning_rate": 7.091126014704032e-05, + "loss": 0.5822, + "step": 1364 + }, + { + "epoch": 1.82, + "learning_rate": 7.077353866303987e-05, + "loss": 0.5527, + "step": 1365 + }, + { + "epoch": 1.82, + "learning_rate": 7.063587776422088e-05, + "loss": 0.5849, + "step": 1366 + }, + { + "epoch": 1.82, + "learning_rate": 7.049827773594842e-05, + "loss": 0.4935, + "step": 1367 + }, + { + "epoch": 1.82, + "learning_rate": 7.036073886346138e-05, + "loss": 0.6335, + "step": 1368 + }, + { + "epoch": 1.83, + "learning_rate": 7.022326143187182e-05, + "loss": 0.6772, + "step": 1369 + }, + { + "epoch": 1.83, + "learning_rate": 7.008584572616448e-05, + "loss": 0.5518, + "step": 1370 + }, + { + "epoch": 1.83, + "learning_rate": 6.994849203119612e-05, + "loss": 0.4049, + "step": 1371 + }, + { + "epoch": 1.83, + "learning_rate": 6.981120063169499e-05, + "loss": 0.6957, + "step": 1372 + }, + { + "epoch": 1.83, + "learning_rate": 6.967397181226016e-05, + "loss": 0.455, + "step": 1373 + }, + { + "epoch": 1.83, + "learning_rate": 6.953680585736105e-05, + "loss": 0.5583, + "step": 1374 + }, + { + "epoch": 1.83, + "learning_rate": 6.939970305133663e-05, + "loss": 0.5528, + "step": 1375 + }, + { + "epoch": 1.83, + "learning_rate": 6.926266367839508e-05, + "loss": 0.6318, + "step": 1376 + }, + { + "epoch": 1.84, + "learning_rate": 6.912568802261307e-05, + "loss": 0.6801, + "step": 1377 + }, + { + "epoch": 1.84, + "learning_rate": 6.898877636793517e-05, + "loss": 0.4815, + "step": 1378 + }, + { + "epoch": 1.84, + "learning_rate": 6.885192899817324e-05, + "loss": 0.3488, + "step": 1379 + }, + { + "epoch": 1.84, + "learning_rate": 6.871514619700594e-05, + "loss": 0.6275, + "step": 1380 + }, + { + "epoch": 1.84, + "learning_rate": 6.857842824797806e-05, + "loss": 0.6648, + "step": 1381 + }, + { + "epoch": 1.84, + "learning_rate": 6.844177543449997e-05, + "loss": 0.5768, + "step": 1382 + }, + { + "epoch": 1.84, + "learning_rate": 6.830518803984698e-05, + "loss": 0.6883, + "step": 1383 + }, + { + "epoch": 1.85, + "learning_rate": 6.816866634715881e-05, + "loss": 0.6354, + "step": 1384 + }, + { + "epoch": 1.85, + "learning_rate": 6.803221063943898e-05, + "loss": 0.5715, + "step": 1385 + }, + { + "epoch": 1.85, + "learning_rate": 6.789582119955424e-05, + "loss": 0.6387, + "step": 1386 + }, + { + "epoch": 1.85, + "learning_rate": 6.775949831023398e-05, + "loss": 0.5986, + "step": 1387 + }, + { + "epoch": 1.85, + "learning_rate": 6.762324225406957e-05, + "loss": 0.5175, + "step": 1388 + }, + { + "epoch": 1.85, + "learning_rate": 6.74870533135139e-05, + "loss": 0.3076, + "step": 1389 + }, + { + "epoch": 1.85, + "learning_rate": 6.73509317708807e-05, + "loss": 0.4861, + "step": 1390 + }, + { + "epoch": 1.85, + "learning_rate": 6.7214877908344e-05, + "loss": 0.5329, + "step": 1391 + }, + { + "epoch": 1.86, + "learning_rate": 6.70788920079376e-05, + "loss": 0.6205, + "step": 1392 + }, + { + "epoch": 1.86, + "learning_rate": 6.694297435155426e-05, + "loss": 0.4511, + "step": 1393 + }, + { + "epoch": 1.86, + "learning_rate": 6.680712522094537e-05, + "loss": 0.6649, + "step": 1394 + }, + { + "epoch": 1.86, + "learning_rate": 6.667134489772029e-05, + "loss": 0.5394, + "step": 1395 + }, + { + "epoch": 1.86, + "learning_rate": 6.653563366334577e-05, + "loss": 0.5804, + "step": 1396 + }, + { + "epoch": 1.86, + "learning_rate": 6.639999179914518e-05, + "loss": 0.5859, + "step": 1397 + }, + { + "epoch": 1.86, + "learning_rate": 6.626441958629826e-05, + "loss": 0.4855, + "step": 1398 + }, + { + "epoch": 1.87, + "learning_rate": 6.612891730584026e-05, + "loss": 0.6424, + "step": 1399 + }, + { + "epoch": 1.87, + "learning_rate": 6.599348523866155e-05, + "loss": 0.4478, + "step": 1400 + }, + { + "epoch": 1.87, + "learning_rate": 6.585812366550694e-05, + "loss": 0.508, + "step": 1401 + }, + { + "epoch": 1.87, + "learning_rate": 6.572283286697496e-05, + "loss": 0.6592, + "step": 1402 + }, + { + "epoch": 1.87, + "learning_rate": 6.558761312351765e-05, + "loss": 0.5251, + "step": 1403 + }, + { + "epoch": 1.87, + "learning_rate": 6.54524647154396e-05, + "loss": 0.5836, + "step": 1404 + }, + { + "epoch": 1.87, + "learning_rate": 6.531738792289763e-05, + "loss": 0.4265, + "step": 1405 + }, + { + "epoch": 1.87, + "learning_rate": 6.518238302589994e-05, + "loss": 0.6757, + "step": 1406 + }, + { + "epoch": 1.88, + "learning_rate": 6.504745030430588e-05, + "loss": 0.5816, + "step": 1407 + }, + { + "epoch": 1.88, + "learning_rate": 6.491259003782511e-05, + "loss": 0.6513, + "step": 1408 + }, + { + "epoch": 1.88, + "learning_rate": 6.477780250601704e-05, + "loss": 0.4129, + "step": 1409 + }, + { + "epoch": 1.88, + "learning_rate": 6.464308798829043e-05, + "loss": 0.5116, + "step": 1410 + }, + { + "epoch": 1.88, + "learning_rate": 6.450844676390252e-05, + "loss": 0.5739, + "step": 1411 + }, + { + "epoch": 1.88, + "learning_rate": 6.437387911195875e-05, + "loss": 0.4302, + "step": 1412 + }, + { + "epoch": 1.88, + "learning_rate": 6.4239385311412e-05, + "loss": 0.4259, + "step": 1413 + }, + { + "epoch": 1.89, + "learning_rate": 6.410496564106207e-05, + "loss": 0.4294, + "step": 1414 + }, + { + "epoch": 1.89, + "learning_rate": 6.397062037955507e-05, + "loss": 0.5428, + "step": 1415 + }, + { + "epoch": 1.89, + "learning_rate": 6.383634980538286e-05, + "loss": 0.6312, + "step": 1416 + }, + { + "epoch": 1.89, + "learning_rate": 6.370215419688252e-05, + "loss": 0.5246, + "step": 1417 + }, + { + "epoch": 1.89, + "learning_rate": 6.356803383223569e-05, + "loss": 0.5685, + "step": 1418 + }, + { + "epoch": 1.89, + "learning_rate": 6.343398898946805e-05, + "loss": 0.5887, + "step": 1419 + }, + { + "epoch": 1.89, + "learning_rate": 6.33000199464487e-05, + "loss": 0.6911, + "step": 1420 + }, + { + "epoch": 1.89, + "learning_rate": 6.316612698088967e-05, + "loss": 0.6935, + "step": 1421 + }, + { + "epoch": 1.9, + "learning_rate": 6.30323103703452e-05, + "loss": 0.4703, + "step": 1422 + }, + { + "epoch": 1.9, + "learning_rate": 6.289857039221135e-05, + "loss": 0.6793, + "step": 1423 + }, + { + "epoch": 1.9, + "learning_rate": 6.276490732372522e-05, + "loss": 0.4813, + "step": 1424 + }, + { + "epoch": 1.9, + "learning_rate": 6.263132144196455e-05, + "loss": 0.5421, + "step": 1425 + }, + { + "epoch": 1.9, + "learning_rate": 6.249781302384705e-05, + "loss": 0.6866, + "step": 1426 + }, + { + "epoch": 1.9, + "learning_rate": 6.236438234612987e-05, + "loss": 0.4021, + "step": 1427 + }, + { + "epoch": 1.9, + "learning_rate": 6.2231029685409e-05, + "loss": 0.48, + "step": 1428 + }, + { + "epoch": 1.91, + "learning_rate": 6.209775531811868e-05, + "loss": 0.5798, + "step": 1429 + }, + { + "epoch": 1.91, + "learning_rate": 6.196455952053084e-05, + "loss": 0.577, + "step": 1430 + }, + { + "epoch": 1.91, + "learning_rate": 6.183144256875462e-05, + "loss": 0.3458, + "step": 1431 + }, + { + "epoch": 1.91, + "learning_rate": 6.169840473873565e-05, + "loss": 0.5413, + "step": 1432 + }, + { + "epoch": 1.91, + "learning_rate": 6.156544630625555e-05, + "loss": 0.5556, + "step": 1433 + }, + { + "epoch": 1.91, + "learning_rate": 6.143256754693134e-05, + "loss": 0.5008, + "step": 1434 + }, + { + "epoch": 1.91, + "learning_rate": 6.129976873621494e-05, + "loss": 0.5195, + "step": 1435 + }, + { + "epoch": 1.91, + "learning_rate": 6.116705014939246e-05, + "loss": 0.6053, + "step": 1436 + }, + { + "epoch": 1.92, + "learning_rate": 6.103441206158382e-05, + "loss": 0.5239, + "step": 1437 + }, + { + "epoch": 1.92, + "learning_rate": 6.090185474774192e-05, + "loss": 0.5045, + "step": 1438 + }, + { + "epoch": 1.92, + "learning_rate": 6.076937848265233e-05, + "loss": 0.6813, + "step": 1439 + }, + { + "epoch": 1.92, + "learning_rate": 6.063698354093255e-05, + "loss": 0.5776, + "step": 1440 + }, + { + "epoch": 1.92, + "learning_rate": 6.0504670197031635e-05, + "loss": 0.6314, + "step": 1441 + }, + { + "epoch": 1.92, + "learning_rate": 6.037243872522924e-05, + "loss": 0.4862, + "step": 1442 + }, + { + "epoch": 1.92, + "learning_rate": 6.024028939963552e-05, + "loss": 0.5236, + "step": 1443 + }, + { + "epoch": 1.93, + "learning_rate": 6.010822249419027e-05, + "loss": 0.6815, + "step": 1444 + }, + { + "epoch": 1.93, + "learning_rate": 5.997623828266243e-05, + "loss": 0.5533, + "step": 1445 + }, + { + "epoch": 1.93, + "learning_rate": 5.984433703864956e-05, + "loss": 0.5213, + "step": 1446 + }, + { + "epoch": 1.93, + "learning_rate": 5.9712519035577105e-05, + "loss": 0.4664, + "step": 1447 + }, + { + "epoch": 1.93, + "learning_rate": 5.95807845466981e-05, + "loss": 0.5657, + "step": 1448 + }, + { + "epoch": 1.93, + "learning_rate": 5.944913384509241e-05, + "loss": 0.53, + "step": 1449 + }, + { + "epoch": 1.93, + "learning_rate": 5.931756720366621e-05, + "loss": 0.4287, + "step": 1450 + }, + { + "epoch": 1.93, + "learning_rate": 5.918608489515136e-05, + "loss": 0.6259, + "step": 1451 + }, + { + "epoch": 1.94, + "learning_rate": 5.9054687192105026e-05, + "loss": 0.5912, + "step": 1452 + }, + { + "epoch": 1.94, + "learning_rate": 5.892337436690889e-05, + "loss": 0.5173, + "step": 1453 + }, + { + "epoch": 1.94, + "learning_rate": 5.8792146691768726e-05, + "loss": 0.7255, + "step": 1454 + }, + { + "epoch": 1.94, + "learning_rate": 5.866100443871381e-05, + "loss": 0.6497, + "step": 1455 + }, + { + "epoch": 1.94, + "learning_rate": 5.852994787959628e-05, + "loss": 0.6155, + "step": 1456 + }, + { + "epoch": 1.94, + "learning_rate": 5.839897728609071e-05, + "loss": 0.43, + "step": 1457 + }, + { + "epoch": 1.94, + "learning_rate": 5.8268092929693405e-05, + "loss": 0.703, + "step": 1458 + }, + { + "epoch": 1.95, + "learning_rate": 5.8137295081721986e-05, + "loss": 0.5811, + "step": 1459 + }, + { + "epoch": 1.95, + "learning_rate": 5.800658401331467e-05, + "loss": 0.5184, + "step": 1460 + }, + { + "epoch": 1.95, + "learning_rate": 5.787595999542974e-05, + "loss": 0.6068, + "step": 1461 + }, + { + "epoch": 1.95, + "learning_rate": 5.774542329884518e-05, + "loss": 0.6412, + "step": 1462 + }, + { + "epoch": 1.95, + "learning_rate": 5.761497419415789e-05, + "loss": 0.6069, + "step": 1463 + }, + { + "epoch": 1.95, + "learning_rate": 5.748461295178315e-05, + "loss": 0.3996, + "step": 1464 + }, + { + "epoch": 1.95, + "learning_rate": 5.735433984195413e-05, + "loss": 0.4652, + "step": 1465 + }, + { + "epoch": 1.95, + "learning_rate": 5.722415513472128e-05, + "loss": 0.6558, + "step": 1466 + }, + { + "epoch": 1.96, + "learning_rate": 5.709405909995187e-05, + "loss": 0.8196, + "step": 1467 + }, + { + "epoch": 1.96, + "learning_rate": 5.696405200732939e-05, + "loss": 0.5282, + "step": 1468 + }, + { + "epoch": 1.96, + "learning_rate": 5.683413412635272e-05, + "loss": 0.6799, + "step": 1469 + }, + { + "epoch": 1.96, + "learning_rate": 5.670430572633607e-05, + "loss": 0.6125, + "step": 1470 + }, + { + "epoch": 1.96, + "learning_rate": 5.657456707640806e-05, + "loss": 0.4694, + "step": 1471 + }, + { + "epoch": 1.96, + "learning_rate": 5.644491844551121e-05, + "loss": 0.6762, + "step": 1472 + }, + { + "epoch": 1.96, + "learning_rate": 5.631536010240159e-05, + "loss": 0.5733, + "step": 1473 + }, + { + "epoch": 1.97, + "learning_rate": 5.6185892315647856e-05, + "loss": 0.528, + "step": 1474 + }, + { + "epoch": 1.97, + "learning_rate": 5.605651535363117e-05, + "loss": 0.7113, + "step": 1475 + }, + { + "epoch": 1.97, + "learning_rate": 5.592722948454437e-05, + "loss": 0.6064, + "step": 1476 + }, + { + "epoch": 1.97, + "learning_rate": 5.57980349763914e-05, + "loss": 0.5652, + "step": 1477 + }, + { + "epoch": 1.97, + "learning_rate": 5.56689320969868e-05, + "loss": 0.721, + "step": 1478 + }, + { + "epoch": 1.97, + "learning_rate": 5.553992111395532e-05, + "loss": 0.6228, + "step": 1479 + }, + { + "epoch": 1.97, + "learning_rate": 5.5411002294730996e-05, + "loss": 0.444, + "step": 1480 + }, + { + "epoch": 1.97, + "learning_rate": 5.528217590655702e-05, + "loss": 0.6434, + "step": 1481 + }, + { + "epoch": 1.98, + "learning_rate": 5.515344221648484e-05, + "loss": 0.6018, + "step": 1482 + }, + { + "epoch": 1.98, + "learning_rate": 5.5024801491373765e-05, + "loss": 0.603, + "step": 1483 + }, + { + "epoch": 1.98, + "learning_rate": 5.489625399789048e-05, + "loss": 0.6296, + "step": 1484 + }, + { + "epoch": 1.98, + "learning_rate": 5.4767800002508276e-05, + "loss": 0.5766, + "step": 1485 + }, + { + "epoch": 1.98, + "learning_rate": 5.463943977150674e-05, + "loss": 0.5813, + "step": 1486 + }, + { + "epoch": 1.98, + "learning_rate": 5.451117357097103e-05, + "loss": 0.6493, + "step": 1487 + }, + { + "epoch": 1.98, + "learning_rate": 5.438300166679134e-05, + "loss": 0.6133, + "step": 1488 + }, + { + "epoch": 1.99, + "learning_rate": 5.425492432466254e-05, + "loss": 0.5598, + "step": 1489 + }, + { + "epoch": 1.99, + "learning_rate": 5.412694181008329e-05, + "loss": 0.532, + "step": 1490 + }, + { + "epoch": 1.99, + "learning_rate": 5.399905438835584e-05, + "loss": 0.4597, + "step": 1491 + }, + { + "epoch": 1.99, + "learning_rate": 5.387126232458522e-05, + "loss": 0.5993, + "step": 1492 + }, + { + "epoch": 1.99, + "learning_rate": 5.374356588367877e-05, + "loss": 0.7077, + "step": 1493 + }, + { + "epoch": 1.99, + "learning_rate": 5.3615965330345716e-05, + "loss": 0.6094, + "step": 1494 + }, + { + "epoch": 1.99, + "learning_rate": 5.348846092909643e-05, + "loss": 0.5547, + "step": 1495 + }, + { + "epoch": 1.99, + "learning_rate": 5.336105294424194e-05, + "loss": 0.6686, + "step": 1496 + }, + { + "epoch": 2.0, + "learning_rate": 5.323374163989352e-05, + "loss": 0.6638, + "step": 1497 + }, + { + "epoch": 2.0, + "learning_rate": 5.310652727996188e-05, + "loss": 0.7447, + "step": 1498 + }, + { + "epoch": 2.0, + "learning_rate": 5.29794101281569e-05, + "loss": 0.4319, + "step": 1499 + }, + { + "epoch": 2.0, + "learning_rate": 5.285239044798695e-05, + "loss": 0.6549, + "step": 1500 + }, + { + "epoch": 2.0, + "learning_rate": 5.272546850275817e-05, + "loss": 0.2075, + "step": 1501 + }, + { + "epoch": 2.0, + "learning_rate": 5.2598644555574326e-05, + "loss": 0.2402, + "step": 1502 + }, + { + "epoch": 2.0, + "learning_rate": 5.247191886933587e-05, + "loss": 0.2263, + "step": 1503 + }, + { + "epoch": 2.01, + "learning_rate": 5.2345291706739684e-05, + "loss": 0.1424, + "step": 1504 + }, + { + "epoch": 2.01, + "learning_rate": 5.2218763330278354e-05, + "loss": 0.1403, + "step": 1505 + }, + { + "epoch": 2.01, + "learning_rate": 5.209233400223963e-05, + "loss": 0.2413, + "step": 1506 + }, + { + "epoch": 2.01, + "learning_rate": 5.196600398470605e-05, + "loss": 0.2223, + "step": 1507 + }, + { + "epoch": 2.01, + "learning_rate": 5.183977353955427e-05, + "loss": 0.232, + "step": 1508 + }, + { + "epoch": 2.01, + "learning_rate": 5.1713642928454485e-05, + "loss": 0.1117, + "step": 1509 + }, + { + "epoch": 2.01, + "learning_rate": 5.1587612412869954e-05, + "loss": 0.1926, + "step": 1510 + }, + { + "epoch": 2.01, + "learning_rate": 5.14616822540564e-05, + "loss": 0.2347, + "step": 1511 + }, + { + "epoch": 2.02, + "learning_rate": 5.1335852713061594e-05, + "loss": 0.3358, + "step": 1512 + }, + { + "epoch": 2.02, + "learning_rate": 5.121012405072478e-05, + "loss": 0.2393, + "step": 1513 + }, + { + "epoch": 2.02, + "learning_rate": 5.108449652767584e-05, + "loss": 0.2168, + "step": 1514 + }, + { + "epoch": 2.02, + "learning_rate": 5.095897040433524e-05, + "loss": 0.1965, + "step": 1515 + }, + { + "epoch": 2.02, + "learning_rate": 5.0833545940913183e-05, + "loss": 0.2803, + "step": 1516 + }, + { + "epoch": 2.02, + "learning_rate": 5.070822339740908e-05, + "loss": 0.2326, + "step": 1517 + }, + { + "epoch": 2.02, + "learning_rate": 5.0583003033611163e-05, + "loss": 0.3001, + "step": 1518 + }, + { + "epoch": 2.03, + "learning_rate": 5.0457885109095745e-05, + "loss": 0.1457, + "step": 1519 + }, + { + "epoch": 2.03, + "learning_rate": 5.0332869883226817e-05, + "loss": 0.2022, + "step": 1520 + }, + { + "epoch": 2.03, + "learning_rate": 5.020795761515556e-05, + "loss": 0.2256, + "step": 1521 + }, + { + "epoch": 2.03, + "learning_rate": 5.008314856381963e-05, + "loss": 0.1564, + "step": 1522 + }, + { + "epoch": 2.03, + "learning_rate": 4.995844298794271e-05, + "loss": 0.2224, + "step": 1523 + }, + { + "epoch": 2.03, + "learning_rate": 4.983384114603412e-05, + "loss": 0.2162, + "step": 1524 + }, + { + "epoch": 2.03, + "learning_rate": 4.9709343296387954e-05, + "loss": 0.1737, + "step": 1525 + }, + { + "epoch": 2.03, + "learning_rate": 4.9584949697082936e-05, + "loss": 0.2902, + "step": 1526 + }, + { + "epoch": 2.04, + "learning_rate": 4.9460660605981515e-05, + "loss": 0.2317, + "step": 1527 + }, + { + "epoch": 2.04, + "learning_rate": 4.933647628072954e-05, + "loss": 0.1597, + "step": 1528 + }, + { + "epoch": 2.04, + "learning_rate": 4.921239697875578e-05, + "loss": 0.1488, + "step": 1529 + }, + { + "epoch": 2.04, + "learning_rate": 4.9088422957271164e-05, + "loss": 0.1171, + "step": 1530 + }, + { + "epoch": 2.04, + "learning_rate": 4.896455447326849e-05, + "loss": 0.1866, + "step": 1531 + }, + { + "epoch": 2.04, + "learning_rate": 4.88407917835217e-05, + "loss": 0.2093, + "step": 1532 + }, + { + "epoch": 2.04, + "learning_rate": 4.8717135144585425e-05, + "loss": 0.1584, + "step": 1533 + }, + { + "epoch": 2.05, + "learning_rate": 4.859358481279458e-05, + "loss": 0.2144, + "step": 1534 + }, + { + "epoch": 2.05, + "learning_rate": 4.847014104426353e-05, + "loss": 0.1768, + "step": 1535 + }, + { + "epoch": 2.05, + "learning_rate": 4.83468040948859e-05, + "loss": 0.1824, + "step": 1536 + }, + { + "epoch": 2.05, + "learning_rate": 4.82235742203338e-05, + "loss": 0.1205, + "step": 1537 + }, + { + "epoch": 2.05, + "learning_rate": 4.8100451676057345e-05, + "loss": 0.0895, + "step": 1538 + }, + { + "epoch": 2.05, + "learning_rate": 4.7977436717284275e-05, + "loss": 0.2723, + "step": 1539 + }, + { + "epoch": 2.05, + "learning_rate": 4.7854529599019213e-05, + "loss": 0.1985, + "step": 1540 + }, + { + "epoch": 2.05, + "learning_rate": 4.773173057604322e-05, + "loss": 0.0592, + "step": 1541 + }, + { + "epoch": 2.06, + "learning_rate": 4.76090399029134e-05, + "loss": 0.128, + "step": 1542 + }, + { + "epoch": 2.06, + "learning_rate": 4.748645783396209e-05, + "loss": 0.1907, + "step": 1543 + }, + { + "epoch": 2.06, + "learning_rate": 4.736398462329664e-05, + "loss": 0.2264, + "step": 1544 + }, + { + "epoch": 2.06, + "learning_rate": 4.7241620524798744e-05, + "loss": 0.1575, + "step": 1545 + }, + { + "epoch": 2.06, + "learning_rate": 4.711936579212369e-05, + "loss": 0.2068, + "step": 1546 + }, + { + "epoch": 2.06, + "learning_rate": 4.699722067870035e-05, + "loss": 0.2262, + "step": 1547 + }, + { + "epoch": 2.06, + "learning_rate": 4.687518543773013e-05, + "loss": 0.1572, + "step": 1548 + }, + { + "epoch": 2.07, + "learning_rate": 4.675326032218684e-05, + "loss": 0.203, + "step": 1549 + }, + { + "epoch": 2.07, + "learning_rate": 4.6631445584815926e-05, + "loss": 0.1292, + "step": 1550 + }, + { + "epoch": 2.07, + "learning_rate": 4.650974147813396e-05, + "loss": 0.162, + "step": 1551 + }, + { + "epoch": 2.07, + "learning_rate": 4.638814825442832e-05, + "loss": 0.1844, + "step": 1552 + }, + { + "epoch": 2.07, + "learning_rate": 4.6266666165756476e-05, + "loss": 0.1906, + "step": 1553 + }, + { + "epoch": 2.07, + "learning_rate": 4.614529546394549e-05, + "loss": 0.1858, + "step": 1554 + }, + { + "epoch": 2.07, + "learning_rate": 4.6024036400591544e-05, + "loss": 0.2224, + "step": 1555 + }, + { + "epoch": 2.07, + "learning_rate": 4.5902889227059345e-05, + "loss": 0.2398, + "step": 1556 + }, + { + "epoch": 2.08, + "learning_rate": 4.578185419448173e-05, + "loss": 0.1705, + "step": 1557 + }, + { + "epoch": 2.08, + "learning_rate": 4.566093155375916e-05, + "loss": 0.1614, + "step": 1558 + }, + { + "epoch": 2.08, + "learning_rate": 4.554012155555883e-05, + "loss": 0.1217, + "step": 1559 + }, + { + "epoch": 2.08, + "learning_rate": 4.54194244503147e-05, + "loss": 0.1815, + "step": 1560 + }, + { + "epoch": 2.08, + "learning_rate": 4.529884048822661e-05, + "loss": 0.2684, + "step": 1561 + }, + { + "epoch": 2.08, + "learning_rate": 4.5178369919259836e-05, + "loss": 0.219, + "step": 1562 + }, + { + "epoch": 2.08, + "learning_rate": 4.505801299314466e-05, + "loss": 0.184, + "step": 1563 + }, + { + "epoch": 2.09, + "learning_rate": 4.493776995937573e-05, + "loss": 0.2357, + "step": 1564 + }, + { + "epoch": 2.09, + "learning_rate": 4.481764106721157e-05, + "loss": 0.0447, + "step": 1565 + }, + { + "epoch": 2.09, + "learning_rate": 4.4697626565674225e-05, + "loss": 0.1686, + "step": 1566 + }, + { + "epoch": 2.09, + "learning_rate": 4.457772670354847e-05, + "loss": 0.1212, + "step": 1567 + }, + { + "epoch": 2.09, + "learning_rate": 4.445794172938149e-05, + "loss": 0.209, + "step": 1568 + }, + { + "epoch": 2.09, + "learning_rate": 4.4338271891482386e-05, + "loss": 0.1299, + "step": 1569 + }, + { + "epoch": 2.09, + "learning_rate": 4.4218717437921445e-05, + "loss": 0.1193, + "step": 1570 + }, + { + "epoch": 2.09, + "learning_rate": 4.4099278616529905e-05, + "loss": 0.1653, + "step": 1571 + }, + { + "epoch": 2.1, + "learning_rate": 4.397995567489921e-05, + "loss": 0.1601, + "step": 1572 + }, + { + "epoch": 2.1, + "learning_rate": 4.3860748860380584e-05, + "loss": 0.1412, + "step": 1573 + }, + { + "epoch": 2.1, + "learning_rate": 4.374165842008464e-05, + "loss": 0.1582, + "step": 1574 + }, + { + "epoch": 2.1, + "learning_rate": 4.36226846008806e-05, + "loss": 0.1059, + "step": 1575 + }, + { + "epoch": 2.1, + "learning_rate": 4.350382764939609e-05, + "loss": 0.2172, + "step": 1576 + }, + { + "epoch": 2.1, + "learning_rate": 4.3385087812016344e-05, + "loss": 0.098, + "step": 1577 + }, + { + "epoch": 2.1, + "learning_rate": 4.326646533488384e-05, + "loss": 0.1376, + "step": 1578 + }, + { + "epoch": 2.11, + "learning_rate": 4.3147960463897887e-05, + "loss": 0.2369, + "step": 1579 + }, + { + "epoch": 2.11, + "learning_rate": 4.302957344471383e-05, + "loss": 0.0564, + "step": 1580 + }, + { + "epoch": 2.11, + "learning_rate": 4.29113045227429e-05, + "loss": 0.1114, + "step": 1581 + }, + { + "epoch": 2.11, + "learning_rate": 4.279315394315137e-05, + "loss": 0.2155, + "step": 1582 + }, + { + "epoch": 2.11, + "learning_rate": 4.267512195086022e-05, + "loss": 0.1469, + "step": 1583 + }, + { + "epoch": 2.11, + "learning_rate": 4.255720879054469e-05, + "loss": 0.2586, + "step": 1584 + }, + { + "epoch": 2.11, + "learning_rate": 4.2439414706633574e-05, + "loss": 0.1411, + "step": 1585 + }, + { + "epoch": 2.11, + "learning_rate": 4.2321739943308926e-05, + "loss": 0.2663, + "step": 1586 + }, + { + "epoch": 2.12, + "learning_rate": 4.220418474450537e-05, + "loss": 0.2812, + "step": 1587 + }, + { + "epoch": 2.12, + "learning_rate": 4.2086749353909704e-05, + "loss": 0.2008, + "step": 1588 + }, + { + "epoch": 2.12, + "learning_rate": 4.196943401496038e-05, + "loss": 0.1116, + "step": 1589 + }, + { + "epoch": 2.12, + "learning_rate": 4.185223897084709e-05, + "loss": 0.2693, + "step": 1590 + }, + { + "epoch": 2.12, + "learning_rate": 4.173516446450989e-05, + "loss": 0.1844, + "step": 1591 + }, + { + "epoch": 2.12, + "learning_rate": 4.1618210738639254e-05, + "loss": 0.2502, + "step": 1592 + }, + { + "epoch": 2.12, + "learning_rate": 4.1501378035675085e-05, + "loss": 0.1648, + "step": 1593 + }, + { + "epoch": 2.13, + "learning_rate": 4.1384666597806524e-05, + "loss": 0.2325, + "step": 1594 + }, + { + "epoch": 2.13, + "learning_rate": 4.126807666697137e-05, + "loss": 0.1698, + "step": 1595 + }, + { + "epoch": 2.13, + "learning_rate": 4.115160848485532e-05, + "loss": 0.2528, + "step": 1596 + }, + { + "epoch": 2.13, + "learning_rate": 4.103526229289193e-05, + "loss": 0.1592, + "step": 1597 + }, + { + "epoch": 2.13, + "learning_rate": 4.0919038332261816e-05, + "loss": 0.1795, + "step": 1598 + }, + { + "epoch": 2.13, + "learning_rate": 4.0802936843892156e-05, + "loss": 0.1912, + "step": 1599 + }, + { + "epoch": 2.13, + "learning_rate": 4.068695806845624e-05, + "loss": 0.0952, + "step": 1600 + }, + { + "epoch": 2.13, + "learning_rate": 4.0571102246373086e-05, + "loss": 0.0548, + "step": 1601 + }, + { + "epoch": 2.14, + "learning_rate": 4.04553696178067e-05, + "loss": 0.1872, + "step": 1602 + }, + { + "epoch": 2.14, + "learning_rate": 4.033976042266585e-05, + "loss": 0.1603, + "step": 1603 + }, + { + "epoch": 2.14, + "learning_rate": 4.0224274900603345e-05, + "loss": 0.2009, + "step": 1604 + }, + { + "epoch": 2.14, + "learning_rate": 4.010891329101557e-05, + "loss": 0.211, + "step": 1605 + }, + { + "epoch": 2.14, + "learning_rate": 3.999367583304222e-05, + "loss": 0.1152, + "step": 1606 + }, + { + "epoch": 2.14, + "learning_rate": 3.9878562765565444e-05, + "loss": 0.1698, + "step": 1607 + }, + { + "epoch": 2.14, + "learning_rate": 3.9763574327209683e-05, + "loss": 0.1565, + "step": 1608 + }, + { + "epoch": 2.15, + "learning_rate": 3.9648710756340946e-05, + "loss": 0.1223, + "step": 1609 + }, + { + "epoch": 2.15, + "learning_rate": 3.953397229106636e-05, + "loss": 0.1409, + "step": 1610 + }, + { + "epoch": 2.15, + "learning_rate": 3.941935916923384e-05, + "loss": 0.1594, + "step": 1611 + }, + { + "epoch": 2.15, + "learning_rate": 3.930487162843132e-05, + "loss": 0.1366, + "step": 1612 + }, + { + "epoch": 2.15, + "learning_rate": 3.919050990598657e-05, + "loss": 0.2584, + "step": 1613 + }, + { + "epoch": 2.15, + "learning_rate": 3.907627423896641e-05, + "loss": 0.2114, + "step": 1614 + }, + { + "epoch": 2.15, + "learning_rate": 3.8962164864176385e-05, + "loss": 0.1434, + "step": 1615 + }, + { + "epoch": 2.15, + "learning_rate": 3.8848182018160314e-05, + "loss": 0.2167, + "step": 1616 + }, + { + "epoch": 2.16, + "learning_rate": 3.873432593719965e-05, + "loss": 0.2628, + "step": 1617 + }, + { + "epoch": 2.16, + "learning_rate": 3.8620596857313044e-05, + "loss": 0.2052, + "step": 1618 + }, + { + "epoch": 2.16, + "learning_rate": 3.8506995014256e-05, + "loss": 0.0812, + "step": 1619 + }, + { + "epoch": 2.16, + "learning_rate": 3.839352064352012e-05, + "loss": 0.1117, + "step": 1620 + }, + { + "epoch": 2.16, + "learning_rate": 3.8280173980332914e-05, + "loss": 0.1139, + "step": 1621 + }, + { + "epoch": 2.16, + "learning_rate": 3.816695525965702e-05, + "loss": 0.1336, + "step": 1622 + }, + { + "epoch": 2.16, + "learning_rate": 3.8053864716189904e-05, + "loss": 0.2297, + "step": 1623 + }, + { + "epoch": 2.17, + "learning_rate": 3.794090258436338e-05, + "loss": 0.1739, + "step": 1624 + }, + { + "epoch": 2.17, + "learning_rate": 3.782806909834299e-05, + "loss": 0.1639, + "step": 1625 + }, + { + "epoch": 2.17, + "learning_rate": 3.771536449202768e-05, + "loss": 0.1151, + "step": 1626 + }, + { + "epoch": 2.17, + "learning_rate": 3.760278899904916e-05, + "loss": 0.2025, + "step": 1627 + }, + { + "epoch": 2.17, + "learning_rate": 3.749034285277152e-05, + "loss": 0.1424, + "step": 1628 + }, + { + "epoch": 2.17, + "learning_rate": 3.7378026286290744e-05, + "loss": 0.1672, + "step": 1629 + }, + { + "epoch": 2.17, + "learning_rate": 3.7265839532434155e-05, + "loss": 0.1375, + "step": 1630 + }, + { + "epoch": 2.17, + "learning_rate": 3.7153782823760054e-05, + "loss": 0.2604, + "step": 1631 + }, + { + "epoch": 2.18, + "learning_rate": 3.704185639255708e-05, + "loss": 0.2279, + "step": 1632 + }, + { + "epoch": 2.18, + "learning_rate": 3.693006047084383e-05, + "loss": 0.139, + "step": 1633 + }, + { + "epoch": 2.18, + "learning_rate": 3.681839529036841e-05, + "loss": 0.1923, + "step": 1634 + }, + { + "epoch": 2.18, + "learning_rate": 3.670686108260796e-05, + "loss": 0.2188, + "step": 1635 + }, + { + "epoch": 2.18, + "learning_rate": 3.659545807876786e-05, + "loss": 0.0851, + "step": 1636 + }, + { + "epoch": 2.18, + "learning_rate": 3.6484186509781826e-05, + "loss": 0.1516, + "step": 1637 + }, + { + "epoch": 2.18, + "learning_rate": 3.637304660631088e-05, + "loss": 0.1967, + "step": 1638 + }, + { + "epoch": 2.19, + "learning_rate": 3.6262038598743254e-05, + "loss": 0.1945, + "step": 1639 + }, + { + "epoch": 2.19, + "learning_rate": 3.615116271719378e-05, + "loss": 0.2479, + "step": 1640 + }, + { + "epoch": 2.19, + "learning_rate": 3.604041919150317e-05, + "loss": 0.2543, + "step": 1641 + }, + { + "epoch": 2.19, + "learning_rate": 3.592980825123803e-05, + "loss": 0.1208, + "step": 1642 + }, + { + "epoch": 2.19, + "learning_rate": 3.581933012569004e-05, + "loss": 0.1305, + "step": 1643 + }, + { + "epoch": 2.19, + "learning_rate": 3.5708985043875506e-05, + "loss": 0.315, + "step": 1644 + }, + { + "epoch": 2.19, + "learning_rate": 3.5598773234534954e-05, + "loss": 0.0882, + "step": 1645 + }, + { + "epoch": 2.19, + "learning_rate": 3.548869492613273e-05, + "loss": 0.218, + "step": 1646 + }, + { + "epoch": 2.2, + "learning_rate": 3.5378750346856296e-05, + "loss": 0.1408, + "step": 1647 + }, + { + "epoch": 2.2, + "learning_rate": 3.5268939724616056e-05, + "loss": 0.2152, + "step": 1648 + }, + { + "epoch": 2.2, + "learning_rate": 3.51592632870446e-05, + "loss": 0.1806, + "step": 1649 + }, + { + "epoch": 2.2, + "learning_rate": 3.504972126149639e-05, + "loss": 0.1673, + "step": 1650 + }, + { + "epoch": 2.2, + "learning_rate": 3.4940313875047326e-05, + "loss": 0.1574, + "step": 1651 + }, + { + "epoch": 2.2, + "learning_rate": 3.48310413544941e-05, + "loss": 0.1591, + "step": 1652 + }, + { + "epoch": 2.2, + "learning_rate": 3.472190392635395e-05, + "loss": 0.0993, + "step": 1653 + }, + { + "epoch": 2.21, + "learning_rate": 3.4612901816863976e-05, + "loss": 0.1947, + "step": 1654 + }, + { + "epoch": 2.21, + "learning_rate": 3.450403525198076e-05, + "loss": 0.2988, + "step": 1655 + }, + { + "epoch": 2.21, + "learning_rate": 3.439530445738004e-05, + "loss": 0.1762, + "step": 1656 + }, + { + "epoch": 2.21, + "learning_rate": 3.428670965845594e-05, + "loss": 0.1564, + "step": 1657 + }, + { + "epoch": 2.21, + "learning_rate": 3.417825108032081e-05, + "loss": 0.1369, + "step": 1658 + }, + { + "epoch": 2.21, + "learning_rate": 3.406992894780453e-05, + "loss": 0.2366, + "step": 1659 + }, + { + "epoch": 2.21, + "learning_rate": 3.396174348545413e-05, + "loss": 0.1994, + "step": 1660 + }, + { + "epoch": 2.21, + "learning_rate": 3.385369491753344e-05, + "loss": 0.105, + "step": 1661 + }, + { + "epoch": 2.22, + "learning_rate": 3.374578346802239e-05, + "loss": 0.1239, + "step": 1662 + }, + { + "epoch": 2.22, + "learning_rate": 3.3638009360616664e-05, + "loss": 0.2729, + "step": 1663 + }, + { + "epoch": 2.22, + "learning_rate": 3.353037281872739e-05, + "loss": 0.1813, + "step": 1664 + }, + { + "epoch": 2.22, + "learning_rate": 3.3422874065480346e-05, + "loss": 0.2376, + "step": 1665 + }, + { + "epoch": 2.22, + "learning_rate": 3.331551332371585e-05, + "loss": 0.1415, + "step": 1666 + }, + { + "epoch": 2.22, + "learning_rate": 3.3208290815987995e-05, + "loss": 0.1443, + "step": 1667 + }, + { + "epoch": 2.22, + "learning_rate": 3.310120676456434e-05, + "loss": 0.1476, + "step": 1668 + }, + { + "epoch": 2.23, + "learning_rate": 3.299426139142553e-05, + "loss": 0.0924, + "step": 1669 + }, + { + "epoch": 2.23, + "learning_rate": 3.288745491826459e-05, + "loss": 0.2135, + "step": 1670 + }, + { + "epoch": 2.23, + "learning_rate": 3.278078756648677e-05, + "loss": 0.1864, + "step": 1671 + }, + { + "epoch": 2.23, + "learning_rate": 3.267425955720881e-05, + "loss": 0.1661, + "step": 1672 + }, + { + "epoch": 2.23, + "learning_rate": 3.2567871111258575e-05, + "loss": 0.1443, + "step": 1673 + }, + { + "epoch": 2.23, + "learning_rate": 3.2461622449174777e-05, + "loss": 0.2244, + "step": 1674 + }, + { + "epoch": 2.23, + "learning_rate": 3.235551379120618e-05, + "loss": 0.2088, + "step": 1675 + }, + { + "epoch": 2.23, + "learning_rate": 3.2249545357311484e-05, + "loss": 0.2101, + "step": 1676 + }, + { + "epoch": 2.24, + "learning_rate": 3.2143717367158596e-05, + "loss": 0.1162, + "step": 1677 + }, + { + "epoch": 2.24, + "learning_rate": 3.2038030040124326e-05, + "loss": 0.084, + "step": 1678 + }, + { + "epoch": 2.24, + "learning_rate": 3.1932483595293895e-05, + "loss": 0.1421, + "step": 1679 + }, + { + "epoch": 2.24, + "learning_rate": 3.182707825146056e-05, + "loss": 0.1702, + "step": 1680 + }, + { + "epoch": 2.24, + "learning_rate": 3.17218142271249e-05, + "loss": 0.1205, + "step": 1681 + }, + { + "epoch": 2.24, + "learning_rate": 3.161669174049474e-05, + "loss": 0.1662, + "step": 1682 + }, + { + "epoch": 2.24, + "learning_rate": 3.1511711009484345e-05, + "loss": 0.113, + "step": 1683 + }, + { + "epoch": 2.25, + "learning_rate": 3.1406872251714234e-05, + "loss": 0.1627, + "step": 1684 + }, + { + "epoch": 2.25, + "learning_rate": 3.130217568451065e-05, + "loss": 0.2975, + "step": 1685 + }, + { + "epoch": 2.25, + "learning_rate": 3.1197621524904886e-05, + "loss": 0.2312, + "step": 1686 + }, + { + "epoch": 2.25, + "learning_rate": 3.1093209989633235e-05, + "loss": 0.0597, + "step": 1687 + }, + { + "epoch": 2.25, + "learning_rate": 3.098894129513629e-05, + "loss": 0.1278, + "step": 1688 + }, + { + "epoch": 2.25, + "learning_rate": 3.0884815657558474e-05, + "loss": 0.2307, + "step": 1689 + }, + { + "epoch": 2.25, + "learning_rate": 3.078083329274767e-05, + "loss": 0.1417, + "step": 1690 + }, + { + "epoch": 2.25, + "learning_rate": 3.0676994416254855e-05, + "loss": 0.2378, + "step": 1691 + }, + { + "epoch": 2.26, + "learning_rate": 3.0573299243333455e-05, + "loss": 0.2388, + "step": 1692 + }, + { + "epoch": 2.26, + "learning_rate": 3.046974798893908e-05, + "loss": 0.1793, + "step": 1693 + }, + { + "epoch": 2.26, + "learning_rate": 3.0366340867728947e-05, + "loss": 0.1946, + "step": 1694 + }, + { + "epoch": 2.26, + "learning_rate": 3.0263078094061492e-05, + "loss": 0.1877, + "step": 1695 + }, + { + "epoch": 2.26, + "learning_rate": 3.0159959881996e-05, + "loss": 0.1541, + "step": 1696 + }, + { + "epoch": 2.26, + "learning_rate": 3.005698644529199e-05, + "loss": 0.1258, + "step": 1697 + }, + { + "epoch": 2.26, + "learning_rate": 2.995415799740896e-05, + "loss": 0.1686, + "step": 1698 + }, + { + "epoch": 2.27, + "learning_rate": 2.985147475150577e-05, + "loss": 0.0873, + "step": 1699 + }, + { + "epoch": 2.27, + "learning_rate": 2.9748936920440286e-05, + "loss": 0.0979, + "step": 1700 + }, + { + "epoch": 2.27, + "learning_rate": 2.9646544716769033e-05, + "loss": 0.2048, + "step": 1701 + }, + { + "epoch": 2.27, + "learning_rate": 2.9544298352746524e-05, + "loss": 0.0607, + "step": 1702 + }, + { + "epoch": 2.27, + "learning_rate": 2.9442198040325086e-05, + "loss": 0.2336, + "step": 1703 + }, + { + "epoch": 2.27, + "learning_rate": 2.9340243991154192e-05, + "loss": 0.1492, + "step": 1704 + }, + { + "epoch": 2.27, + "learning_rate": 2.9238436416580107e-05, + "loss": 0.2008, + "step": 1705 + }, + { + "epoch": 2.27, + "learning_rate": 2.9136775527645554e-05, + "loss": 0.189, + "step": 1706 + }, + { + "epoch": 2.28, + "learning_rate": 2.903526153508912e-05, + "loss": 0.1416, + "step": 1707 + }, + { + "epoch": 2.28, + "learning_rate": 2.893389464934484e-05, + "loss": 0.1223, + "step": 1708 + }, + { + "epoch": 2.28, + "learning_rate": 2.8832675080541914e-05, + "loss": 0.1855, + "step": 1709 + }, + { + "epoch": 2.28, + "learning_rate": 2.873160303850405e-05, + "loss": 0.1812, + "step": 1710 + }, + { + "epoch": 2.28, + "learning_rate": 2.863067873274925e-05, + "loss": 0.1614, + "step": 1711 + }, + { + "epoch": 2.28, + "learning_rate": 2.852990237248917e-05, + "loss": 0.1872, + "step": 1712 + }, + { + "epoch": 2.28, + "learning_rate": 2.8429274166628783e-05, + "loss": 0.1898, + "step": 1713 + }, + { + "epoch": 2.29, + "learning_rate": 2.8328794323766038e-05, + "loss": 0.2472, + "step": 1714 + }, + { + "epoch": 2.29, + "learning_rate": 2.822846305219121e-05, + "loss": 0.1822, + "step": 1715 + }, + { + "epoch": 2.29, + "learning_rate": 2.8128280559886733e-05, + "loss": 0.1428, + "step": 1716 + }, + { + "epoch": 2.29, + "learning_rate": 2.80282470545265e-05, + "loss": 0.0876, + "step": 1717 + }, + { + "epoch": 2.29, + "learning_rate": 2.7928362743475588e-05, + "loss": 0.1814, + "step": 1718 + }, + { + "epoch": 2.29, + "learning_rate": 2.782862783378989e-05, + "loss": 0.201, + "step": 1719 + }, + { + "epoch": 2.29, + "learning_rate": 2.7729042532215456e-05, + "loss": 0.1873, + "step": 1720 + }, + { + "epoch": 2.29, + "learning_rate": 2.7629607045188343e-05, + "loss": 0.1411, + "step": 1721 + }, + { + "epoch": 2.3, + "learning_rate": 2.753032157883397e-05, + "loss": 0.2571, + "step": 1722 + }, + { + "epoch": 2.3, + "learning_rate": 2.743118633896674e-05, + "loss": 0.2074, + "step": 1723 + }, + { + "epoch": 2.3, + "learning_rate": 2.733220153108973e-05, + "loss": 0.0418, + "step": 1724 + }, + { + "epoch": 2.3, + "learning_rate": 2.723336736039418e-05, + "loss": 0.1441, + "step": 1725 + }, + { + "epoch": 2.3, + "learning_rate": 2.7134684031758907e-05, + "loss": 0.1844, + "step": 1726 + }, + { + "epoch": 2.3, + "learning_rate": 2.7036151749750227e-05, + "loss": 0.2149, + "step": 1727 + }, + { + "epoch": 2.3, + "learning_rate": 2.693777071862128e-05, + "loss": 0.1859, + "step": 1728 + }, + { + "epoch": 2.31, + "learning_rate": 2.6839541142311596e-05, + "loss": 0.1287, + "step": 1729 + }, + { + "epoch": 2.31, + "learning_rate": 2.6741463224446926e-05, + "loss": 0.1693, + "step": 1730 + }, + { + "epoch": 2.31, + "learning_rate": 2.6643537168338374e-05, + "loss": 0.19, + "step": 1731 + }, + { + "epoch": 2.31, + "learning_rate": 2.6545763176982474e-05, + "loss": 0.2565, + "step": 1732 + }, + { + "epoch": 2.31, + "learning_rate": 2.6448141453060458e-05, + "loss": 0.2097, + "step": 1733 + }, + { + "epoch": 2.31, + "learning_rate": 2.6350672198937887e-05, + "loss": 0.1507, + "step": 1734 + }, + { + "epoch": 2.31, + "learning_rate": 2.6253355616664253e-05, + "loss": 0.0695, + "step": 1735 + }, + { + "epoch": 2.31, + "learning_rate": 2.615619190797266e-05, + "loss": 0.0732, + "step": 1736 + }, + { + "epoch": 2.32, + "learning_rate": 2.6059181274279176e-05, + "loss": 0.2003, + "step": 1737 + }, + { + "epoch": 2.32, + "learning_rate": 2.5962323916682674e-05, + "loss": 0.2118, + "step": 1738 + }, + { + "epoch": 2.32, + "learning_rate": 2.5865620035964212e-05, + "loss": 0.1346, + "step": 1739 + }, + { + "epoch": 2.32, + "learning_rate": 2.576906983258669e-05, + "loss": 0.2382, + "step": 1740 + }, + { + "epoch": 2.32, + "learning_rate": 2.5672673506694555e-05, + "loss": 0.1172, + "step": 1741 + }, + { + "epoch": 2.32, + "learning_rate": 2.5576431258113097e-05, + "loss": 0.1653, + "step": 1742 + }, + { + "epoch": 2.32, + "learning_rate": 2.5480343286348407e-05, + "loss": 0.0919, + "step": 1743 + }, + { + "epoch": 2.33, + "learning_rate": 2.5384409790586595e-05, + "loss": 0.2602, + "step": 1744 + }, + { + "epoch": 2.33, + "learning_rate": 2.5288630969693617e-05, + "loss": 0.2001, + "step": 1745 + }, + { + "epoch": 2.33, + "learning_rate": 2.5193007022214855e-05, + "loss": 0.1939, + "step": 1746 + }, + { + "epoch": 2.33, + "learning_rate": 2.5097538146374512e-05, + "loss": 0.221, + "step": 1747 + }, + { + "epoch": 2.33, + "learning_rate": 2.500222454007548e-05, + "loss": 0.1127, + "step": 1748 + }, + { + "epoch": 2.33, + "learning_rate": 2.4907066400898683e-05, + "loss": 0.182, + "step": 1749 + }, + { + "epoch": 2.33, + "learning_rate": 2.481206392610278e-05, + "loss": 0.1913, + "step": 1750 + }, + { + "epoch": 2.33, + "learning_rate": 2.47172173126238e-05, + "loss": 0.2412, + "step": 1751 + }, + { + "epoch": 2.34, + "learning_rate": 2.4622526757074628e-05, + "loss": 0.1501, + "step": 1752 + }, + { + "epoch": 2.34, + "learning_rate": 2.452799245574463e-05, + "loss": 0.2613, + "step": 1753 + }, + { + "epoch": 2.34, + "learning_rate": 2.4433614604599366e-05, + "loss": 0.1139, + "step": 1754 + }, + { + "epoch": 2.34, + "learning_rate": 2.433939339927992e-05, + "loss": 0.159, + "step": 1755 + }, + { + "epoch": 2.34, + "learning_rate": 2.4245329035102837e-05, + "loss": 0.2473, + "step": 1756 + }, + { + "epoch": 2.34, + "learning_rate": 2.415142170705941e-05, + "loss": 0.0628, + "step": 1757 + }, + { + "epoch": 2.34, + "learning_rate": 2.4057671609815403e-05, + "loss": 0.1261, + "step": 1758 + }, + { + "epoch": 2.35, + "learning_rate": 2.3964078937710744e-05, + "loss": 0.1136, + "step": 1759 + }, + { + "epoch": 2.35, + "learning_rate": 2.3870643884758913e-05, + "loss": 0.163, + "step": 1760 + }, + { + "epoch": 2.35, + "learning_rate": 2.3777366644646758e-05, + "loss": 0.2006, + "step": 1761 + }, + { + "epoch": 2.35, + "learning_rate": 2.3684247410733918e-05, + "loss": 0.2255, + "step": 1762 + }, + { + "epoch": 2.35, + "learning_rate": 2.3591286376052468e-05, + "loss": 0.1282, + "step": 1763 + }, + { + "epoch": 2.35, + "learning_rate": 2.3498483733306654e-05, + "loss": 0.2877, + "step": 1764 + }, + { + "epoch": 2.35, + "learning_rate": 2.3405839674872242e-05, + "loss": 0.1005, + "step": 1765 + }, + { + "epoch": 2.35, + "learning_rate": 2.3313354392796395e-05, + "loss": 0.1354, + "step": 1766 + }, + { + "epoch": 2.36, + "learning_rate": 2.3221028078797046e-05, + "loss": 0.139, + "step": 1767 + }, + { + "epoch": 2.36, + "learning_rate": 2.3128860924262598e-05, + "loss": 0.1864, + "step": 1768 + }, + { + "epoch": 2.36, + "learning_rate": 2.3036853120251568e-05, + "loss": 0.2124, + "step": 1769 + }, + { + "epoch": 2.36, + "learning_rate": 2.294500485749218e-05, + "loss": 0.1658, + "step": 1770 + }, + { + "epoch": 2.36, + "learning_rate": 2.2853316326381792e-05, + "loss": 0.1196, + "step": 1771 + }, + { + "epoch": 2.36, + "learning_rate": 2.276178771698676e-05, + "loss": 0.1507, + "step": 1772 + }, + { + "epoch": 2.36, + "learning_rate": 2.2670419219041962e-05, + "loss": 0.1981, + "step": 1773 + }, + { + "epoch": 2.37, + "learning_rate": 2.257921102195024e-05, + "loss": 0.1559, + "step": 1774 + }, + { + "epoch": 2.37, + "learning_rate": 2.2488163314782317e-05, + "loss": 0.1011, + "step": 1775 + }, + { + "epoch": 2.37, + "learning_rate": 2.2397276286275992e-05, + "loss": 0.1573, + "step": 1776 + }, + { + "epoch": 2.37, + "learning_rate": 2.230655012483619e-05, + "loss": 0.2254, + "step": 1777 + }, + { + "epoch": 2.37, + "learning_rate": 2.22159850185343e-05, + "loss": 0.1251, + "step": 1778 + }, + { + "epoch": 2.37, + "learning_rate": 2.212558115510783e-05, + "loss": 0.1653, + "step": 1779 + }, + { + "epoch": 2.37, + "learning_rate": 2.203533872196003e-05, + "loss": 0.1458, + "step": 1780 + }, + { + "epoch": 2.37, + "learning_rate": 2.1945257906159578e-05, + "loss": 0.1383, + "step": 1781 + }, + { + "epoch": 2.38, + "learning_rate": 2.1855338894440024e-05, + "loss": 0.1346, + "step": 1782 + }, + { + "epoch": 2.38, + "learning_rate": 2.1765581873199626e-05, + "loss": 0.0505, + "step": 1783 + }, + { + "epoch": 2.38, + "learning_rate": 2.1675987028500743e-05, + "loss": 0.2208, + "step": 1784 + }, + { + "epoch": 2.38, + "learning_rate": 2.158655454606957e-05, + "loss": 0.1791, + "step": 1785 + }, + { + "epoch": 2.38, + "learning_rate": 2.14972846112958e-05, + "loss": 0.1589, + "step": 1786 + }, + { + "epoch": 2.38, + "learning_rate": 2.1408177409232066e-05, + "loss": 0.218, + "step": 1787 + }, + { + "epoch": 2.38, + "learning_rate": 2.1319233124593764e-05, + "loss": 0.1795, + "step": 1788 + }, + { + "epoch": 2.39, + "learning_rate": 2.12304519417585e-05, + "loss": 0.1443, + "step": 1789 + }, + { + "epoch": 2.39, + "learning_rate": 2.1141834044765774e-05, + "loss": 0.1797, + "step": 1790 + }, + { + "epoch": 2.39, + "learning_rate": 2.1053379617316684e-05, + "loss": 0.0949, + "step": 1791 + }, + { + "epoch": 2.39, + "learning_rate": 2.0965088842773338e-05, + "loss": 0.2004, + "step": 1792 + }, + { + "epoch": 2.39, + "learning_rate": 2.0876961904158743e-05, + "loss": 0.1335, + "step": 1793 + }, + { + "epoch": 2.39, + "learning_rate": 2.078899898415616e-05, + "loss": 0.1295, + "step": 1794 + }, + { + "epoch": 2.39, + "learning_rate": 2.0701200265108865e-05, + "loss": 0.1275, + "step": 1795 + }, + { + "epoch": 2.39, + "learning_rate": 2.061356592901984e-05, + "loss": 0.1496, + "step": 1796 + }, + { + "epoch": 2.4, + "learning_rate": 2.052609615755121e-05, + "loss": 0.1381, + "step": 1797 + }, + { + "epoch": 2.4, + "learning_rate": 2.0438791132023983e-05, + "loss": 0.2132, + "step": 1798 + }, + { + "epoch": 2.4, + "learning_rate": 2.035165103341773e-05, + "loss": 0.1589, + "step": 1799 + }, + { + "epoch": 2.4, + "learning_rate": 2.0264676042370025e-05, + "loss": 0.1602, + "step": 1800 + }, + { + "epoch": 2.4, + "learning_rate": 2.0177866339176287e-05, + "loss": 0.1821, + "step": 1801 + }, + { + "epoch": 2.4, + "learning_rate": 2.009122210378922e-05, + "loss": 0.1271, + "step": 1802 + }, + { + "epoch": 2.4, + "learning_rate": 2.0004743515818538e-05, + "loss": 0.1783, + "step": 1803 + }, + { + "epoch": 2.41, + "learning_rate": 1.9918430754530625e-05, + "loss": 0.1455, + "step": 1804 + }, + { + "epoch": 2.41, + "learning_rate": 1.9832283998848035e-05, + "loss": 0.2656, + "step": 1805 + }, + { + "epoch": 2.41, + "learning_rate": 1.9746303427349277e-05, + "loss": 0.0839, + "step": 1806 + }, + { + "epoch": 2.41, + "learning_rate": 1.9660489218268318e-05, + "loss": 0.1602, + "step": 1807 + }, + { + "epoch": 2.41, + "learning_rate": 1.957484154949426e-05, + "loss": 0.1787, + "step": 1808 + }, + { + "epoch": 2.41, + "learning_rate": 1.9489360598571015e-05, + "loss": 0.1282, + "step": 1809 + }, + { + "epoch": 2.41, + "learning_rate": 1.940404654269684e-05, + "loss": 0.1209, + "step": 1810 + }, + { + "epoch": 2.41, + "learning_rate": 1.93188995587241e-05, + "loss": 0.2305, + "step": 1811 + }, + { + "epoch": 2.42, + "learning_rate": 1.9233919823158776e-05, + "loss": 0.0888, + "step": 1812 + }, + { + "epoch": 2.42, + "learning_rate": 1.9149107512160103e-05, + "loss": 0.1048, + "step": 1813 + }, + { + "epoch": 2.42, + "learning_rate": 1.9064462801540362e-05, + "loss": 0.2054, + "step": 1814 + }, + { + "epoch": 2.42, + "learning_rate": 1.8979985866764383e-05, + "loss": 0.19, + "step": 1815 + }, + { + "epoch": 2.42, + "learning_rate": 1.8895676882949076e-05, + "loss": 0.2425, + "step": 1816 + }, + { + "epoch": 2.42, + "learning_rate": 1.881153602486335e-05, + "loss": 0.1186, + "step": 1817 + }, + { + "epoch": 2.42, + "learning_rate": 1.8727563466927568e-05, + "loss": 0.2041, + "step": 1818 + }, + { + "epoch": 2.43, + "learning_rate": 1.864375938321311e-05, + "loss": 0.1984, + "step": 1819 + }, + { + "epoch": 2.43, + "learning_rate": 1.8560123947442298e-05, + "loss": 0.2162, + "step": 1820 + }, + { + "epoch": 2.43, + "learning_rate": 1.8476657332987633e-05, + "loss": 0.1362, + "step": 1821 + }, + { + "epoch": 2.43, + "learning_rate": 1.8393359712871816e-05, + "loss": 0.1964, + "step": 1822 + }, + { + "epoch": 2.43, + "learning_rate": 1.831023125976722e-05, + "loss": 0.1386, + "step": 1823 + }, + { + "epoch": 2.43, + "learning_rate": 1.8227272145995487e-05, + "loss": 0.1393, + "step": 1824 + }, + { + "epoch": 2.43, + "learning_rate": 1.8144482543527208e-05, + "loss": 0.0633, + "step": 1825 + }, + { + "epoch": 2.43, + "learning_rate": 1.8061862623981684e-05, + "loss": 0.1506, + "step": 1826 + }, + { + "epoch": 2.44, + "learning_rate": 1.7979412558626352e-05, + "loss": 0.2416, + "step": 1827 + }, + { + "epoch": 2.44, + "learning_rate": 1.789713251837667e-05, + "loss": 0.1409, + "step": 1828 + }, + { + "epoch": 2.44, + "learning_rate": 1.7815022673795534e-05, + "loss": 0.1661, + "step": 1829 + }, + { + "epoch": 2.44, + "learning_rate": 1.7733083195093058e-05, + "loss": 0.2365, + "step": 1830 + }, + { + "epoch": 2.44, + "learning_rate": 1.7651314252126282e-05, + "loss": 0.0904, + "step": 1831 + }, + { + "epoch": 2.44, + "learning_rate": 1.7569716014398584e-05, + "loss": 0.2067, + "step": 1832 + }, + { + "epoch": 2.44, + "learning_rate": 1.7488288651059627e-05, + "loss": 0.1365, + "step": 1833 + }, + { + "epoch": 2.45, + "learning_rate": 1.740703233090475e-05, + "loss": 0.253, + "step": 1834 + }, + { + "epoch": 2.45, + "learning_rate": 1.732594722237475e-05, + "loss": 0.2576, + "step": 1835 + }, + { + "epoch": 2.45, + "learning_rate": 1.7245033493555573e-05, + "loss": 0.0996, + "step": 1836 + }, + { + "epoch": 2.45, + "learning_rate": 1.7164291312177818e-05, + "loss": 0.1921, + "step": 1837 + }, + { + "epoch": 2.45, + "learning_rate": 1.7083720845616534e-05, + "loss": 0.2055, + "step": 1838 + }, + { + "epoch": 2.45, + "learning_rate": 1.7003322260890776e-05, + "loss": 0.1972, + "step": 1839 + }, + { + "epoch": 2.45, + "learning_rate": 1.6923095724663297e-05, + "loss": 0.2182, + "step": 1840 + }, + { + "epoch": 2.45, + "learning_rate": 1.6843041403240246e-05, + "loss": 0.1489, + "step": 1841 + }, + { + "epoch": 2.46, + "learning_rate": 1.67631594625707e-05, + "loss": 0.2591, + "step": 1842 + }, + { + "epoch": 2.46, + "learning_rate": 1.6683450068246485e-05, + "loss": 0.0749, + "step": 1843 + }, + { + "epoch": 2.46, + "learning_rate": 1.66039133855017e-05, + "loss": 0.0718, + "step": 1844 + }, + { + "epoch": 2.46, + "learning_rate": 1.652454957921238e-05, + "loss": 0.1761, + "step": 1845 + }, + { + "epoch": 2.46, + "learning_rate": 1.6445358813896295e-05, + "loss": 0.1137, + "step": 1846 + }, + { + "epoch": 2.46, + "learning_rate": 1.6366341253712438e-05, + "loss": 0.2232, + "step": 1847 + }, + { + "epoch": 2.46, + "learning_rate": 1.6287497062460722e-05, + "loss": 0.2448, + "step": 1848 + }, + { + "epoch": 2.47, + "learning_rate": 1.6208826403581788e-05, + "loss": 0.2006, + "step": 1849 + }, + { + "epoch": 2.47, + "learning_rate": 1.6130329440156432e-05, + "loss": 0.1753, + "step": 1850 + }, + { + "epoch": 2.47, + "learning_rate": 1.6052006334905468e-05, + "loss": 0.1844, + "step": 1851 + }, + { + "epoch": 2.47, + "learning_rate": 1.5973857250189326e-05, + "loss": 0.158, + "step": 1852 + }, + { + "epoch": 2.47, + "learning_rate": 1.589588234800756e-05, + "loss": 0.1319, + "step": 1853 + }, + { + "epoch": 2.47, + "learning_rate": 1.5818081789998805e-05, + "loss": 0.1131, + "step": 1854 + }, + { + "epoch": 2.47, + "learning_rate": 1.574045573744023e-05, + "loss": 0.1311, + "step": 1855 + }, + { + "epoch": 2.47, + "learning_rate": 1.5663004351247257e-05, + "loss": 0.1514, + "step": 1856 + }, + { + "epoch": 2.48, + "learning_rate": 1.5585727791973237e-05, + "loss": 0.0816, + "step": 1857 + }, + { + "epoch": 2.48, + "learning_rate": 1.5508626219809065e-05, + "loss": 0.2285, + "step": 1858 + }, + { + "epoch": 2.48, + "learning_rate": 1.5431699794582997e-05, + "loss": 0.2171, + "step": 1859 + }, + { + "epoch": 2.48, + "learning_rate": 1.535494867576016e-05, + "loss": 0.2423, + "step": 1860 + }, + { + "epoch": 2.48, + "learning_rate": 1.5278373022442272e-05, + "loss": 0.101, + "step": 1861 + }, + { + "epoch": 2.48, + "learning_rate": 1.5201972993367309e-05, + "loss": 0.243, + "step": 1862 + }, + { + "epoch": 2.48, + "learning_rate": 1.512574874690923e-05, + "loss": 0.2244, + "step": 1863 + }, + { + "epoch": 2.49, + "learning_rate": 1.5049700441077541e-05, + "loss": 0.09, + "step": 1864 + }, + { + "epoch": 2.49, + "learning_rate": 1.4973828233517152e-05, + "loss": 0.1776, + "step": 1865 + }, + { + "epoch": 2.49, + "learning_rate": 1.4898132281507727e-05, + "loss": 0.2435, + "step": 1866 + }, + { + "epoch": 2.49, + "learning_rate": 1.4822612741963737e-05, + "loss": 0.1071, + "step": 1867 + }, + { + "epoch": 2.49, + "learning_rate": 1.4747269771433936e-05, + "loss": 0.1704, + "step": 1868 + }, + { + "epoch": 2.49, + "learning_rate": 1.4672103526100945e-05, + "loss": 0.2241, + "step": 1869 + }, + { + "epoch": 2.49, + "learning_rate": 1.4597114161781188e-05, + "loss": 0.1322, + "step": 1870 + }, + { + "epoch": 2.49, + "learning_rate": 1.4522301833924312e-05, + "loss": 0.1724, + "step": 1871 + }, + { + "epoch": 2.5, + "learning_rate": 1.4447666697613004e-05, + "loss": 0.2187, + "step": 1872 + }, + { + "epoch": 2.5, + "learning_rate": 1.4373208907562686e-05, + "loss": 0.2054, + "step": 1873 + }, + { + "epoch": 2.5, + "learning_rate": 1.4298928618121098e-05, + "loss": 0.0707, + "step": 1874 + }, + { + "epoch": 2.5, + "learning_rate": 1.422482598326802e-05, + "loss": 0.1538, + "step": 1875 + }, + { + "epoch": 2.5, + "learning_rate": 1.4150901156615026e-05, + "loss": 0.1654, + "step": 1876 + }, + { + "epoch": 2.5, + "learning_rate": 1.4077154291405027e-05, + "loss": 0.0816, + "step": 1877 + }, + { + "epoch": 2.5, + "learning_rate": 1.400358554051211e-05, + "loss": 0.1066, + "step": 1878 + }, + { + "epoch": 2.51, + "learning_rate": 1.3930195056441053e-05, + "loss": 0.1396, + "step": 1879 + }, + { + "epoch": 2.51, + "learning_rate": 1.3856982991327128e-05, + "loss": 0.1524, + "step": 1880 + }, + { + "epoch": 2.51, + "learning_rate": 1.3783949496935788e-05, + "loss": 0.2058, + "step": 1881 + }, + { + "epoch": 2.51, + "learning_rate": 1.3711094724662255e-05, + "loss": 0.2274, + "step": 1882 + }, + { + "epoch": 2.51, + "learning_rate": 1.363841882553134e-05, + "loss": 0.2599, + "step": 1883 + }, + { + "epoch": 2.51, + "learning_rate": 1.356592195019698e-05, + "loss": 0.2293, + "step": 1884 + }, + { + "epoch": 2.51, + "learning_rate": 1.3493604248942038e-05, + "loss": 0.1307, + "step": 1885 + }, + { + "epoch": 2.51, + "learning_rate": 1.3421465871677995e-05, + "loss": 0.1733, + "step": 1886 + }, + { + "epoch": 2.52, + "learning_rate": 1.3349506967944513e-05, + "loss": 0.1953, + "step": 1887 + }, + { + "epoch": 2.52, + "learning_rate": 1.3277727686909324e-05, + "loss": 0.2122, + "step": 1888 + }, + { + "epoch": 2.52, + "learning_rate": 1.3206128177367727e-05, + "loss": 0.2113, + "step": 1889 + }, + { + "epoch": 2.52, + "learning_rate": 1.3134708587742362e-05, + "loss": 0.114, + "step": 1890 + }, + { + "epoch": 2.52, + "learning_rate": 1.3063469066082956e-05, + "loss": 0.0906, + "step": 1891 + }, + { + "epoch": 2.52, + "learning_rate": 1.2992409760065937e-05, + "loss": 0.1669, + "step": 1892 + }, + { + "epoch": 2.52, + "learning_rate": 1.292153081699412e-05, + "loss": 0.1893, + "step": 1893 + }, + { + "epoch": 2.53, + "learning_rate": 1.2850832383796519e-05, + "loss": 0.2138, + "step": 1894 + }, + { + "epoch": 2.53, + "learning_rate": 1.2780314607027844e-05, + "loss": 0.228, + "step": 1895 + }, + { + "epoch": 2.53, + "learning_rate": 1.2709977632868409e-05, + "loss": 0.1707, + "step": 1896 + }, + { + "epoch": 2.53, + "learning_rate": 1.2639821607123748e-05, + "loss": 0.1182, + "step": 1897 + }, + { + "epoch": 2.53, + "learning_rate": 1.2569846675224139e-05, + "loss": 0.1208, + "step": 1898 + }, + { + "epoch": 2.53, + "learning_rate": 1.2500052982224641e-05, + "loss": 0.1804, + "step": 1899 + }, + { + "epoch": 2.53, + "learning_rate": 1.2430440672804545e-05, + "loss": 0.1045, + "step": 1900 + }, + { + "epoch": 2.53, + "learning_rate": 1.2361009891267105e-05, + "loss": 0.1706, + "step": 1901 + }, + { + "epoch": 2.54, + "learning_rate": 1.229176078153933e-05, + "loss": 0.1813, + "step": 1902 + }, + { + "epoch": 2.54, + "learning_rate": 1.2222693487171565e-05, + "loss": 0.1992, + "step": 1903 + }, + { + "epoch": 2.54, + "learning_rate": 1.2153808151337343e-05, + "loss": 0.143, + "step": 1904 + }, + { + "epoch": 2.54, + "learning_rate": 1.2085104916832978e-05, + "loss": 0.1989, + "step": 1905 + }, + { + "epoch": 2.54, + "learning_rate": 1.2016583926077264e-05, + "loss": 0.1973, + "step": 1906 + }, + { + "epoch": 2.54, + "learning_rate": 1.1948245321111207e-05, + "loss": 0.2126, + "step": 1907 + }, + { + "epoch": 2.54, + "learning_rate": 1.1880089243597792e-05, + "loss": 0.1621, + "step": 1908 + }, + { + "epoch": 2.55, + "learning_rate": 1.181211583482158e-05, + "loss": 0.1857, + "step": 1909 + }, + { + "epoch": 2.55, + "learning_rate": 1.1744325235688536e-05, + "loss": 0.192, + "step": 1910 + }, + { + "epoch": 2.55, + "learning_rate": 1.1676717586725527e-05, + "loss": 0.1756, + "step": 1911 + }, + { + "epoch": 2.55, + "learning_rate": 1.1609293028080326e-05, + "loss": 0.1627, + "step": 1912 + }, + { + "epoch": 2.55, + "learning_rate": 1.1542051699521118e-05, + "loss": 0.1832, + "step": 1913 + }, + { + "epoch": 2.55, + "learning_rate": 1.1474993740436202e-05, + "loss": 0.1893, + "step": 1914 + }, + { + "epoch": 2.55, + "learning_rate": 1.1408119289833851e-05, + "loss": 0.1302, + "step": 1915 + }, + { + "epoch": 2.55, + "learning_rate": 1.1341428486341876e-05, + "loss": 0.1583, + "step": 1916 + }, + { + "epoch": 2.56, + "learning_rate": 1.1274921468207389e-05, + "loss": 0.1764, + "step": 1917 + }, + { + "epoch": 2.56, + "learning_rate": 1.1208598373296564e-05, + "loss": 0.095, + "step": 1918 + }, + { + "epoch": 2.56, + "learning_rate": 1.114245933909428e-05, + "loss": 0.127, + "step": 1919 + }, + { + "epoch": 2.56, + "learning_rate": 1.1076504502703867e-05, + "loss": 0.2093, + "step": 1920 + }, + { + "epoch": 2.56, + "learning_rate": 1.1010734000846846e-05, + "loss": 0.2249, + "step": 1921 + }, + { + "epoch": 2.56, + "learning_rate": 1.0945147969862569e-05, + "loss": 0.2376, + "step": 1922 + }, + { + "epoch": 2.56, + "learning_rate": 1.0879746545708069e-05, + "loss": 0.1395, + "step": 1923 + }, + { + "epoch": 2.57, + "learning_rate": 1.0814529863957623e-05, + "loss": 0.2722, + "step": 1924 + }, + { + "epoch": 2.57, + "learning_rate": 1.0749498059802554e-05, + "loss": 0.1084, + "step": 1925 + }, + { + "epoch": 2.57, + "learning_rate": 1.0684651268051005e-05, + "loss": 0.2496, + "step": 1926 + }, + { + "epoch": 2.57, + "learning_rate": 1.0619989623127512e-05, + "loss": 0.2025, + "step": 1927 + }, + { + "epoch": 2.57, + "learning_rate": 1.0555513259072868e-05, + "loss": 0.1628, + "step": 1928 + }, + { + "epoch": 2.57, + "learning_rate": 1.049122230954378e-05, + "loss": 0.1598, + "step": 1929 + }, + { + "epoch": 2.57, + "learning_rate": 1.042711690781254e-05, + "loss": 0.1731, + "step": 1930 + }, + { + "epoch": 2.57, + "learning_rate": 1.0363197186766904e-05, + "loss": 0.1869, + "step": 1931 + }, + { + "epoch": 2.58, + "learning_rate": 1.0299463278909637e-05, + "loss": 0.2014, + "step": 1932 + }, + { + "epoch": 2.58, + "learning_rate": 1.023591531635838e-05, + "loss": 0.2335, + "step": 1933 + }, + { + "epoch": 2.58, + "learning_rate": 1.0172553430845289e-05, + "loss": 0.2102, + "step": 1934 + }, + { + "epoch": 2.58, + "learning_rate": 1.0109377753716753e-05, + "loss": 0.2466, + "step": 1935 + }, + { + "epoch": 2.58, + "learning_rate": 1.0046388415933228e-05, + "loss": 0.1863, + "step": 1936 + }, + { + "epoch": 2.58, + "learning_rate": 9.983585548068907e-06, + "loss": 0.1664, + "step": 1937 + }, + { + "epoch": 2.58, + "learning_rate": 9.920969280311331e-06, + "loss": 0.1887, + "step": 1938 + }, + { + "epoch": 2.59, + "learning_rate": 9.858539742461337e-06, + "loss": 0.192, + "step": 1939 + }, + { + "epoch": 2.59, + "learning_rate": 9.796297063932614e-06, + "loss": 0.1731, + "step": 1940 + }, + { + "epoch": 2.59, + "learning_rate": 9.734241373751541e-06, + "loss": 0.2196, + "step": 1941 + }, + { + "epoch": 2.59, + "learning_rate": 9.672372800556884e-06, + "loss": 0.1072, + "step": 1942 + }, + { + "epoch": 2.59, + "learning_rate": 9.610691472599442e-06, + "loss": 0.0923, + "step": 1943 + }, + { + "epoch": 2.59, + "learning_rate": 9.549197517741959e-06, + "loss": 0.1198, + "step": 1944 + }, + { + "epoch": 2.59, + "learning_rate": 9.487891063458743e-06, + "loss": 0.0631, + "step": 1945 + }, + { + "epoch": 2.59, + "learning_rate": 9.426772236835368e-06, + "loss": 0.0938, + "step": 1946 + }, + { + "epoch": 2.6, + "learning_rate": 9.365841164568523e-06, + "loss": 0.1634, + "step": 1947 + }, + { + "epoch": 2.6, + "learning_rate": 9.305097972965627e-06, + "loss": 0.1544, + "step": 1948 + }, + { + "epoch": 2.6, + "learning_rate": 9.24454278794471e-06, + "loss": 0.1718, + "step": 1949 + }, + { + "epoch": 2.6, + "learning_rate": 9.18417573503404e-06, + "loss": 0.1294, + "step": 1950 + }, + { + "epoch": 2.6, + "learning_rate": 9.12399693937187e-06, + "loss": 0.1612, + "step": 1951 + }, + { + "epoch": 2.6, + "learning_rate": 9.064006525706214e-06, + "loss": 0.1779, + "step": 1952 + }, + { + "epoch": 2.6, + "learning_rate": 9.004204618394608e-06, + "loss": 0.2281, + "step": 1953 + }, + { + "epoch": 2.61, + "learning_rate": 8.944591341403774e-06, + "loss": 0.2067, + "step": 1954 + }, + { + "epoch": 2.61, + "learning_rate": 8.885166818309499e-06, + "loss": 0.1126, + "step": 1955 + }, + { + "epoch": 2.61, + "learning_rate": 8.825931172296142e-06, + "loss": 0.0746, + "step": 1956 + }, + { + "epoch": 2.61, + "learning_rate": 8.76688452615667e-06, + "loss": 0.171, + "step": 1957 + }, + { + "epoch": 2.61, + "learning_rate": 8.708027002292218e-06, + "loss": 0.1874, + "step": 1958 + }, + { + "epoch": 2.61, + "learning_rate": 8.649358722711832e-06, + "loss": 0.1327, + "step": 1959 + }, + { + "epoch": 2.61, + "learning_rate": 8.590879809032349e-06, + "loss": 0.0973, + "step": 1960 + }, + { + "epoch": 2.61, + "learning_rate": 8.53259038247798e-06, + "loss": 0.0494, + "step": 1961 + }, + { + "epoch": 2.62, + "learning_rate": 8.474490563880156e-06, + "loss": 0.1366, + "step": 1962 + }, + { + "epoch": 2.62, + "learning_rate": 8.416580473677304e-06, + "loss": 0.1786, + "step": 1963 + }, + { + "epoch": 2.62, + "learning_rate": 8.3588602319145e-06, + "loss": 0.2326, + "step": 1964 + }, + { + "epoch": 2.62, + "learning_rate": 8.301329958243276e-06, + "loss": 0.1871, + "step": 1965 + }, + { + "epoch": 2.62, + "learning_rate": 8.243989771921412e-06, + "loss": 0.1743, + "step": 1966 + }, + { + "epoch": 2.62, + "learning_rate": 8.186839791812595e-06, + "loss": 0.1257, + "step": 1967 + }, + { + "epoch": 2.62, + "learning_rate": 8.129880136386259e-06, + "loss": 0.0886, + "step": 1968 + }, + { + "epoch": 2.63, + "learning_rate": 8.073110923717298e-06, + "loss": 0.0945, + "step": 1969 + }, + { + "epoch": 2.63, + "learning_rate": 8.016532271485789e-06, + "loss": 0.1153, + "step": 1970 + }, + { + "epoch": 2.63, + "learning_rate": 7.960144296976835e-06, + "loss": 0.0851, + "step": 1971 + }, + { + "epoch": 2.63, + "learning_rate": 7.903947117080236e-06, + "loss": 0.1931, + "step": 1972 + }, + { + "epoch": 2.63, + "learning_rate": 7.847940848290325e-06, + "loss": 0.1901, + "step": 1973 + }, + { + "epoch": 2.63, + "learning_rate": 7.792125606705635e-06, + "loss": 0.1522, + "step": 1974 + }, + { + "epoch": 2.63, + "learning_rate": 7.736501508028726e-06, + "loss": 0.1807, + "step": 1975 + }, + { + "epoch": 2.63, + "learning_rate": 7.68106866756596e-06, + "loss": 0.0504, + "step": 1976 + }, + { + "epoch": 2.64, + "learning_rate": 7.625827200227164e-06, + "loss": 0.2197, + "step": 1977 + }, + { + "epoch": 2.64, + "learning_rate": 7.570777220525538e-06, + "loss": 0.2584, + "step": 1978 + }, + { + "epoch": 2.64, + "learning_rate": 7.515918842577263e-06, + "loss": 0.1839, + "step": 1979 + }, + { + "epoch": 2.64, + "learning_rate": 7.461252180101352e-06, + "loss": 0.1973, + "step": 1980 + }, + { + "epoch": 2.64, + "learning_rate": 7.406777346419436e-06, + "loss": 0.1304, + "step": 1981 + }, + { + "epoch": 2.64, + "learning_rate": 7.3524944544555164e-06, + "loss": 0.2238, + "step": 1982 + }, + { + "epoch": 2.64, + "learning_rate": 7.298403616735583e-06, + "loss": 0.1172, + "step": 1983 + }, + { + "epoch": 2.65, + "learning_rate": 7.244504945387631e-06, + "loss": 0.1165, + "step": 1984 + }, + { + "epoch": 2.65, + "learning_rate": 7.190798552141253e-06, + "loss": 0.186, + "step": 1985 + }, + { + "epoch": 2.65, + "learning_rate": 7.13728454832745e-06, + "loss": 0.1662, + "step": 1986 + }, + { + "epoch": 2.65, + "learning_rate": 7.083963044878472e-06, + "loss": 0.2221, + "step": 1987 + }, + { + "epoch": 2.65, + "learning_rate": 7.0308341523273925e-06, + "loss": 0.1421, + "step": 1988 + }, + { + "epoch": 2.65, + "learning_rate": 6.977897980808146e-06, + "loss": 0.174, + "step": 1989 + }, + { + "epoch": 2.65, + "learning_rate": 6.92515464005511e-06, + "loss": 0.1804, + "step": 1990 + }, + { + "epoch": 2.65, + "learning_rate": 6.872604239402924e-06, + "loss": 0.2031, + "step": 1991 + }, + { + "epoch": 2.66, + "learning_rate": 6.820246887786274e-06, + "loss": 0.1743, + "step": 1992 + }, + { + "epoch": 2.66, + "learning_rate": 6.768082693739663e-06, + "loss": 0.2484, + "step": 1993 + }, + { + "epoch": 2.66, + "learning_rate": 6.7161117653971926e-06, + "loss": 0.1365, + "step": 1994 + }, + { + "epoch": 2.66, + "learning_rate": 6.6643342104923736e-06, + "loss": 0.1966, + "step": 1995 + }, + { + "epoch": 2.66, + "learning_rate": 6.612750136357782e-06, + "loss": 0.1438, + "step": 1996 + }, + { + "epoch": 2.66, + "learning_rate": 6.561359649924958e-06, + "loss": 0.2006, + "step": 1997 + }, + { + "epoch": 2.66, + "learning_rate": 6.510162857724167e-06, + "loss": 0.1715, + "step": 1998 + }, + { + "epoch": 2.67, + "learning_rate": 6.459159865884101e-06, + "loss": 0.1857, + "step": 1999 + }, + { + "epoch": 2.67, + "learning_rate": 6.408350780131778e-06, + "loss": 0.086, + "step": 2000 + }, + { + "epoch": 2.67, + "learning_rate": 6.35773570579219e-06, + "loss": 0.1806, + "step": 2001 + }, + { + "epoch": 2.67, + "learning_rate": 6.3073147477881624e-06, + "loss": 0.1882, + "step": 2002 + }, + { + "epoch": 2.67, + "learning_rate": 6.2570880106401995e-06, + "loss": 0.1298, + "step": 2003 + }, + { + "epoch": 2.67, + "learning_rate": 6.207055598466094e-06, + "loss": 0.1974, + "step": 2004 + }, + { + "epoch": 2.67, + "learning_rate": 6.157217614980881e-06, + "loss": 0.1158, + "step": 2005 + }, + { + "epoch": 2.67, + "learning_rate": 6.1075741634965326e-06, + "loss": 0.2265, + "step": 2006 + }, + { + "epoch": 2.68, + "learning_rate": 6.0581253469217395e-06, + "loss": 0.2109, + "step": 2007 + }, + { + "epoch": 2.68, + "learning_rate": 6.008871267761762e-06, + "loss": 0.1994, + "step": 2008 + }, + { + "epoch": 2.68, + "learning_rate": 5.959812028118172e-06, + "loss": 0.1711, + "step": 2009 + }, + { + "epoch": 2.68, + "learning_rate": 5.910947729688598e-06, + "loss": 0.1619, + "step": 2010 + }, + { + "epoch": 2.68, + "learning_rate": 5.862278473766636e-06, + "loss": 0.0628, + "step": 2011 + }, + { + "epoch": 2.68, + "learning_rate": 5.813804361241515e-06, + "loss": 0.2139, + "step": 2012 + }, + { + "epoch": 2.68, + "learning_rate": 5.76552549259799e-06, + "loss": 0.1859, + "step": 2013 + }, + { + "epoch": 2.69, + "learning_rate": 5.717441967916026e-06, + "loss": 0.0586, + "step": 2014 + }, + { + "epoch": 2.69, + "learning_rate": 5.66955388687066e-06, + "loss": 0.1411, + "step": 2015 + }, + { + "epoch": 2.69, + "learning_rate": 5.6218613487318385e-06, + "loss": 0.2069, + "step": 2016 + }, + { + "epoch": 2.69, + "learning_rate": 5.574364452364078e-06, + "loss": 0.1582, + "step": 2017 + }, + { + "epoch": 2.69, + "learning_rate": 5.52706329622642e-06, + "loss": 0.2217, + "step": 2018 + }, + { + "epoch": 2.69, + "learning_rate": 5.479957978372063e-06, + "loss": 0.1043, + "step": 2019 + }, + { + "epoch": 2.69, + "learning_rate": 5.433048596448287e-06, + "loss": 0.1895, + "step": 2020 + }, + { + "epoch": 2.69, + "learning_rate": 5.386335247696217e-06, + "loss": 0.0719, + "step": 2021 + }, + { + "epoch": 2.7, + "learning_rate": 5.3398180289505606e-06, + "loss": 0.242, + "step": 2022 + }, + { + "epoch": 2.7, + "learning_rate": 5.293497036639517e-06, + "loss": 0.1627, + "step": 2023 + }, + { + "epoch": 2.7, + "learning_rate": 5.247372366784475e-06, + "loss": 0.201, + "step": 2024 + }, + { + "epoch": 2.7, + "learning_rate": 5.201444114999842e-06, + "loss": 0.1653, + "step": 2025 + }, + { + "epoch": 2.7, + "learning_rate": 5.155712376492905e-06, + "loss": 0.1695, + "step": 2026 + }, + { + "epoch": 2.7, + "learning_rate": 5.1101772460635966e-06, + "loss": 0.194, + "step": 2027 + }, + { + "epoch": 2.7, + "learning_rate": 5.0648388181042005e-06, + "loss": 0.2193, + "step": 2028 + }, + { + "epoch": 2.71, + "learning_rate": 5.019697186599337e-06, + "loss": 0.1011, + "step": 2029 + }, + { + "epoch": 2.71, + "learning_rate": 4.97475244512563e-06, + "loss": 0.2071, + "step": 2030 + }, + { + "epoch": 2.71, + "learning_rate": 4.930004686851574e-06, + "loss": 0.1582, + "step": 2031 + }, + { + "epoch": 2.71, + "learning_rate": 4.88545400453736e-06, + "loss": 0.167, + "step": 2032 + }, + { + "epoch": 2.71, + "learning_rate": 4.841100490534545e-06, + "loss": 0.0922, + "step": 2033 + }, + { + "epoch": 2.71, + "learning_rate": 4.796944236786061e-06, + "loss": 0.2243, + "step": 2034 + }, + { + "epoch": 2.71, + "learning_rate": 4.752985334825921e-06, + "loss": 0.0929, + "step": 2035 + }, + { + "epoch": 2.71, + "learning_rate": 4.709223875779001e-06, + "loss": 0.1261, + "step": 2036 + }, + { + "epoch": 2.72, + "learning_rate": 4.66565995036089e-06, + "loss": 0.099, + "step": 2037 + }, + { + "epoch": 2.72, + "learning_rate": 4.622293648877696e-06, + "loss": 0.2375, + "step": 2038 + }, + { + "epoch": 2.72, + "learning_rate": 4.579125061225897e-06, + "loss": 0.2126, + "step": 2039 + }, + { + "epoch": 2.72, + "learning_rate": 4.5361542768921015e-06, + "loss": 0.2117, + "step": 2040 + }, + { + "epoch": 2.72, + "learning_rate": 4.493381384952855e-06, + "loss": 0.139, + "step": 2041 + }, + { + "epoch": 2.72, + "learning_rate": 4.4508064740744985e-06, + "loss": 0.2711, + "step": 2042 + }, + { + "epoch": 2.72, + "learning_rate": 4.408429632512989e-06, + "loss": 0.118, + "step": 2043 + }, + { + "epoch": 2.73, + "learning_rate": 4.3662509481136485e-06, + "loss": 0.2073, + "step": 2044 + }, + { + "epoch": 2.73, + "learning_rate": 4.324270508311068e-06, + "loss": 0.1873, + "step": 2045 + }, + { + "epoch": 2.73, + "learning_rate": 4.2824884001288705e-06, + "loss": 0.1212, + "step": 2046 + }, + { + "epoch": 2.73, + "learning_rate": 4.240904710179539e-06, + "loss": 0.0597, + "step": 2047 + }, + { + "epoch": 2.73, + "learning_rate": 4.199519524664253e-06, + "loss": 0.2244, + "step": 2048 + }, + { + "epoch": 2.73, + "learning_rate": 4.1583329293726996e-06, + "loss": 0.1768, + "step": 2049 + }, + { + "epoch": 2.73, + "learning_rate": 4.117345009682916e-06, + "loss": 0.1463, + "step": 2050 + }, + { + "epoch": 2.73, + "learning_rate": 4.076555850561048e-06, + "loss": 0.0881, + "step": 2051 + }, + { + "epoch": 2.74, + "learning_rate": 4.035965536561248e-06, + "loss": 0.1154, + "step": 2052 + }, + { + "epoch": 2.74, + "learning_rate": 3.995574151825498e-06, + "loss": 0.0852, + "step": 2053 + }, + { + "epoch": 2.74, + "learning_rate": 3.9553817800833555e-06, + "loss": 0.1523, + "step": 2054 + }, + { + "epoch": 2.74, + "learning_rate": 3.91538850465184e-06, + "loss": 0.0451, + "step": 2055 + }, + { + "epoch": 2.74, + "learning_rate": 3.875594408435312e-06, + "loss": 0.2029, + "step": 2056 + }, + { + "epoch": 2.74, + "learning_rate": 3.835999573925153e-06, + "loss": 0.1682, + "step": 2057 + }, + { + "epoch": 2.74, + "learning_rate": 3.796604083199784e-06, + "loss": 0.1837, + "step": 2058 + }, + { + "epoch": 2.75, + "learning_rate": 3.7574080179243022e-06, + "loss": 0.2174, + "step": 2059 + }, + { + "epoch": 2.75, + "learning_rate": 3.718411459350446e-06, + "loss": 0.095, + "step": 2060 + }, + { + "epoch": 2.75, + "learning_rate": 3.6796144883163964e-06, + "loss": 0.1086, + "step": 2061 + }, + { + "epoch": 2.75, + "learning_rate": 3.641017185246576e-06, + "loss": 0.1637, + "step": 2062 + }, + { + "epoch": 2.75, + "learning_rate": 3.602619630151527e-06, + "loss": 0.1904, + "step": 2063 + }, + { + "epoch": 2.75, + "learning_rate": 3.5644219026276905e-06, + "loss": 0.1992, + "step": 2064 + }, + { + "epoch": 2.75, + "learning_rate": 3.5264240818573047e-06, + "loss": 0.2215, + "step": 2065 + }, + { + "epoch": 2.75, + "learning_rate": 3.488626246608184e-06, + "loss": 0.2001, + "step": 2066 + }, + { + "epoch": 2.76, + "learning_rate": 3.4510284752336084e-06, + "loss": 0.2316, + "step": 2067 + }, + { + "epoch": 2.76, + "learning_rate": 3.413630845672122e-06, + "loss": 0.1056, + "step": 2068 + }, + { + "epoch": 2.76, + "learning_rate": 3.3764334354473793e-06, + "loss": 0.1036, + "step": 2069 + }, + { + "epoch": 2.76, + "learning_rate": 3.3394363216679656e-06, + "loss": 0.1307, + "step": 2070 + }, + { + "epoch": 2.76, + "learning_rate": 3.3026395810273116e-06, + "loss": 0.1814, + "step": 2071 + }, + { + "epoch": 2.76, + "learning_rate": 3.2660432898034886e-06, + "loss": 0.1007, + "step": 2072 + }, + { + "epoch": 2.76, + "learning_rate": 3.2296475238589474e-06, + "loss": 0.1687, + "step": 2073 + }, + { + "epoch": 2.77, + "learning_rate": 3.1934523586405807e-06, + "loss": 0.114, + "step": 2074 + }, + { + "epoch": 2.77, + "learning_rate": 3.1574578691793476e-06, + "loss": 0.1167, + "step": 2075 + }, + { + "epoch": 2.77, + "learning_rate": 3.121664130090285e-06, + "loss": 0.1974, + "step": 2076 + }, + { + "epoch": 2.77, + "learning_rate": 3.0860712155722617e-06, + "loss": 0.1641, + "step": 2077 + }, + { + "epoch": 2.77, + "learning_rate": 3.0506791994078132e-06, + "loss": 0.176, + "step": 2078 + }, + { + "epoch": 2.77, + "learning_rate": 3.015488154963053e-06, + "loss": 0.1685, + "step": 2079 + }, + { + "epoch": 2.77, + "learning_rate": 2.9804981551875054e-06, + "loss": 0.1343, + "step": 2080 + }, + { + "epoch": 2.77, + "learning_rate": 2.9457092726139055e-06, + "loss": 0.1998, + "step": 2081 + }, + { + "epoch": 2.78, + "learning_rate": 2.911121579358089e-06, + "loss": 0.2121, + "step": 2082 + }, + { + "epoch": 2.78, + "learning_rate": 2.876735147118814e-06, + "loss": 0.2184, + "step": 2083 + }, + { + "epoch": 2.78, + "learning_rate": 2.8425500471776832e-06, + "loss": 0.0813, + "step": 2084 + }, + { + "epoch": 2.78, + "learning_rate": 2.8085663503989333e-06, + "loss": 0.1482, + "step": 2085 + }, + { + "epoch": 2.78, + "learning_rate": 2.7747841272292683e-06, + "loss": 0.1727, + "step": 2086 + }, + { + "epoch": 2.78, + "learning_rate": 2.741203447697749e-06, + "loss": 0.1709, + "step": 2087 + }, + { + "epoch": 2.78, + "learning_rate": 2.707824381415702e-06, + "loss": 0.1735, + "step": 2088 + }, + { + "epoch": 2.79, + "learning_rate": 2.6746469975764355e-06, + "loss": 0.1088, + "step": 2089 + }, + { + "epoch": 2.79, + "learning_rate": 2.641671364955256e-06, + "loss": 0.1853, + "step": 2090 + }, + { + "epoch": 2.79, + "learning_rate": 2.6088975519092063e-06, + "loss": 0.1165, + "step": 2091 + }, + { + "epoch": 2.79, + "learning_rate": 2.576325626376952e-06, + "loss": 0.143, + "step": 2092 + }, + { + "epoch": 2.79, + "learning_rate": 2.5439556558786936e-06, + "loss": 0.204, + "step": 2093 + }, + { + "epoch": 2.79, + "learning_rate": 2.511787707515967e-06, + "loss": 0.0883, + "step": 2094 + }, + { + "epoch": 2.79, + "learning_rate": 2.479821847971542e-06, + "loss": 0.1628, + "step": 2095 + }, + { + "epoch": 2.79, + "learning_rate": 2.448058143509235e-06, + "loss": 0.1388, + "step": 2096 + }, + { + "epoch": 2.8, + "learning_rate": 2.4164966599738104e-06, + "loss": 0.1333, + "step": 2097 + }, + { + "epoch": 2.8, + "learning_rate": 2.3851374627908874e-06, + "loss": 0.0304, + "step": 2098 + }, + { + "epoch": 2.8, + "learning_rate": 2.353980616966689e-06, + "loss": 0.0816, + "step": 2099 + }, + { + "epoch": 2.8, + "learning_rate": 2.3230261870879956e-06, + "loss": 0.1857, + "step": 2100 + }, + { + "epoch": 2.8, + "learning_rate": 2.292274237322012e-06, + "loss": 0.1848, + "step": 2101 + }, + { + "epoch": 2.8, + "learning_rate": 2.2617248314161675e-06, + "loss": 0.1506, + "step": 2102 + }, + { + "epoch": 2.8, + "learning_rate": 2.2313780326980727e-06, + "loss": 0.1497, + "step": 2103 + }, + { + "epoch": 2.81, + "learning_rate": 2.2012339040753173e-06, + "loss": 0.1939, + "step": 2104 + }, + { + "epoch": 2.81, + "learning_rate": 2.1712925080353384e-06, + "loss": 0.1327, + "step": 2105 + }, + { + "epoch": 2.81, + "learning_rate": 2.141553906645388e-06, + "loss": 0.1985, + "step": 2106 + }, + { + "epoch": 2.81, + "learning_rate": 2.112018161552254e-06, + "loss": 0.2242, + "step": 2107 + }, + { + "epoch": 2.81, + "learning_rate": 2.0826853339822817e-06, + "loss": 0.2347, + "step": 2108 + }, + { + "epoch": 2.81, + "learning_rate": 2.053555484741121e-06, + "loss": 0.2318, + "step": 2109 + }, + { + "epoch": 2.81, + "learning_rate": 2.0246286742136913e-06, + "loss": 0.1718, + "step": 2110 + }, + { + "epoch": 2.81, + "learning_rate": 1.9959049623640148e-06, + "loss": 0.1051, + "step": 2111 + }, + { + "epoch": 2.82, + "learning_rate": 1.9673844087350736e-06, + "loss": 0.142, + "step": 2112 + }, + { + "epoch": 2.82, + "learning_rate": 1.9390670724487638e-06, + "loss": 0.0418, + "step": 2113 + }, + { + "epoch": 2.82, + "learning_rate": 1.9109530122056742e-06, + "loss": 0.0855, + "step": 2114 + }, + { + "epoch": 2.82, + "learning_rate": 1.8830422862850305e-06, + "loss": 0.1675, + "step": 2115 + }, + { + "epoch": 2.82, + "learning_rate": 1.8553349525445407e-06, + "loss": 0.1598, + "step": 2116 + }, + { + "epoch": 2.82, + "learning_rate": 1.8278310684203159e-06, + "loss": 0.1136, + "step": 2117 + }, + { + "epoch": 2.82, + "learning_rate": 1.8005306909267162e-06, + "loss": 0.1005, + "step": 2118 + }, + { + "epoch": 2.83, + "learning_rate": 1.7734338766562164e-06, + "loss": 0.2437, + "step": 2119 + }, + { + "epoch": 2.83, + "learning_rate": 1.7465406817793296e-06, + "loss": 0.1532, + "step": 2120 + }, + { + "epoch": 2.83, + "learning_rate": 1.7198511620444946e-06, + "loss": 0.212, + "step": 2121 + }, + { + "epoch": 2.83, + "learning_rate": 1.693365372777922e-06, + "loss": 0.2266, + "step": 2122 + }, + { + "epoch": 2.83, + "learning_rate": 1.667083368883482e-06, + "loss": 0.0443, + "step": 2123 + }, + { + "epoch": 2.83, + "learning_rate": 1.6410052048426384e-06, + "loss": 0.2466, + "step": 2124 + }, + { + "epoch": 2.83, + "learning_rate": 1.615130934714304e-06, + "loss": 0.1958, + "step": 2125 + }, + { + "epoch": 2.83, + "learning_rate": 1.5894606121346745e-06, + "loss": 0.2137, + "step": 2126 + }, + { + "epoch": 2.84, + "learning_rate": 1.56399429031725e-06, + "loss": 0.1757, + "step": 2127 + }, + { + "epoch": 2.84, + "learning_rate": 1.5387320220525803e-06, + "loss": 0.1702, + "step": 2128 + }, + { + "epoch": 2.84, + "learning_rate": 1.5136738597082645e-06, + "loss": 0.1383, + "step": 2129 + }, + { + "epoch": 2.84, + "learning_rate": 1.4888198552287624e-06, + "loss": 0.1478, + "step": 2130 + }, + { + "epoch": 2.84, + "learning_rate": 1.4641700601353725e-06, + "loss": 0.1514, + "step": 2131 + }, + { + "epoch": 2.84, + "learning_rate": 1.4397245255260095e-06, + "loss": 0.1681, + "step": 2132 + }, + { + "epoch": 2.84, + "learning_rate": 1.4154833020752267e-06, + "loss": 0.1874, + "step": 2133 + }, + { + "epoch": 2.85, + "learning_rate": 1.3914464400340167e-06, + "loss": 0.1489, + "step": 2134 + }, + { + "epoch": 2.85, + "learning_rate": 1.3676139892297546e-06, + "loss": 0.205, + "step": 2135 + }, + { + "epoch": 2.85, + "learning_rate": 1.3439859990660776e-06, + "loss": 0.0865, + "step": 2136 + }, + { + "epoch": 2.85, + "learning_rate": 1.3205625185227499e-06, + "loss": 0.1647, + "step": 2137 + }, + { + "epoch": 2.85, + "learning_rate": 1.2973435961556646e-06, + "loss": 0.2638, + "step": 2138 + }, + { + "epoch": 2.85, + "learning_rate": 1.274329280096609e-06, + "loss": 0.2224, + "step": 2139 + }, + { + "epoch": 2.85, + "learning_rate": 1.251519618053265e-06, + "loss": 0.1054, + "step": 2140 + }, + { + "epoch": 2.85, + "learning_rate": 1.2289146573090882e-06, + "loss": 0.1336, + "step": 2141 + }, + { + "epoch": 2.86, + "learning_rate": 1.206514444723139e-06, + "loss": 0.1323, + "step": 2142 + }, + { + "epoch": 2.86, + "learning_rate": 1.1843190267301297e-06, + "loss": 0.188, + "step": 2143 + }, + { + "epoch": 2.86, + "learning_rate": 1.1623284493401443e-06, + "loss": 0.1766, + "step": 2144 + }, + { + "epoch": 2.86, + "learning_rate": 1.1405427581387406e-06, + "loss": 0.0598, + "step": 2145 + }, + { + "epoch": 2.86, + "learning_rate": 1.1189619982866828e-06, + "loss": 0.1208, + "step": 2146 + }, + { + "epoch": 2.86, + "learning_rate": 1.09758621451993e-06, + "loss": 0.1602, + "step": 2147 + }, + { + "epoch": 2.86, + "learning_rate": 1.0764154511495928e-06, + "loss": 0.1424, + "step": 2148 + }, + { + "epoch": 2.87, + "learning_rate": 1.055449752061699e-06, + "loss": 0.1674, + "step": 2149 + }, + { + "epoch": 2.87, + "learning_rate": 1.0346891607172614e-06, + "loss": 0.1832, + "step": 2150 + }, + { + "epoch": 2.87, + "learning_rate": 1.0141337201520662e-06, + "loss": 0.1935, + "step": 2151 + }, + { + "epoch": 2.87, + "learning_rate": 9.937834729766392e-07, + "loss": 0.1571, + "step": 2152 + }, + { + "epoch": 2.87, + "learning_rate": 9.736384613761806e-07, + "loss": 0.1727, + "step": 2153 + }, + { + "epoch": 2.87, + "learning_rate": 9.53698727110408e-07, + "loss": 0.1787, + "step": 2154 + }, + { + "epoch": 2.87, + "learning_rate": 9.339643115135133e-07, + "loss": 0.2011, + "step": 2155 + }, + { + "epoch": 2.87, + "learning_rate": 9.144352554940949e-07, + "loss": 0.1262, + "step": 2156 + }, + { + "epoch": 2.88, + "learning_rate": 8.951115995350368e-07, + "loss": 0.1385, + "step": 2157 + }, + { + "epoch": 2.88, + "learning_rate": 8.759933836934186e-07, + "loss": 0.2013, + "step": 2158 + }, + { + "epoch": 2.88, + "learning_rate": 8.570806476004945e-07, + "loss": 0.0793, + "step": 2159 + }, + { + "epoch": 2.88, + "learning_rate": 8.383734304615143e-07, + "loss": 0.0962, + "step": 2160 + }, + { + "epoch": 2.88, + "learning_rate": 8.198717710557358e-07, + "loss": 0.1692, + "step": 2161 + }, + { + "epoch": 2.88, + "learning_rate": 8.015757077363129e-07, + "loss": 0.1492, + "step": 2162 + }, + { + "epoch": 2.88, + "learning_rate": 7.834852784301628e-07, + "loss": 0.1879, + "step": 2163 + }, + { + "epoch": 2.89, + "learning_rate": 7.656005206379657e-07, + "loss": 0.0905, + "step": 2164 + }, + { + "epoch": 2.89, + "learning_rate": 7.479214714340432e-07, + "loss": 0.0722, + "step": 2165 + }, + { + "epoch": 2.89, + "learning_rate": 7.304481674662911e-07, + "loss": 0.2238, + "step": 2166 + }, + { + "epoch": 2.89, + "learning_rate": 7.13180644956124e-07, + "loss": 0.1032, + "step": 2167 + }, + { + "epoch": 2.89, + "learning_rate": 6.961189396983537e-07, + "loss": 0.1071, + "step": 2168 + }, + { + "epoch": 2.89, + "learning_rate": 6.792630870611439e-07, + "loss": 0.1748, + "step": 2169 + }, + { + "epoch": 2.89, + "learning_rate": 6.626131219859555e-07, + "loss": 0.0571, + "step": 2170 + }, + { + "epoch": 2.89, + "learning_rate": 6.461690789874352e-07, + "loss": 0.1636, + "step": 2171 + }, + { + "epoch": 2.9, + "learning_rate": 6.299309921533714e-07, + "loss": 0.1034, + "step": 2172 + }, + { + "epoch": 2.9, + "learning_rate": 6.138988951446045e-07, + "loss": 0.0938, + "step": 2173 + }, + { + "epoch": 2.9, + "learning_rate": 5.980728211949837e-07, + "loss": 0.1749, + "step": 2174 + }, + { + "epoch": 2.9, + "learning_rate": 5.824528031112553e-07, + "loss": 0.1304, + "step": 2175 + }, + { + "epoch": 2.9, + "learning_rate": 5.670388732730625e-07, + "loss": 0.154, + "step": 2176 + }, + { + "epoch": 2.9, + "learning_rate": 5.518310636327794e-07, + "loss": 0.104, + "step": 2177 + }, + { + "epoch": 2.9, + "learning_rate": 5.368294057155554e-07, + "loss": 0.1674, + "step": 2178 + }, + { + "epoch": 2.91, + "learning_rate": 5.22033930619159e-07, + "loss": 0.1406, + "step": 2179 + }, + { + "epoch": 2.91, + "learning_rate": 5.07444669013979e-07, + "loss": 0.0565, + "step": 2180 + }, + { + "epoch": 2.91, + "learning_rate": 4.93061651142912e-07, + "loss": 0.0616, + "step": 2181 + }, + { + "epoch": 2.91, + "learning_rate": 4.788849068213197e-07, + "loss": 0.2057, + "step": 2182 + }, + { + "epoch": 2.91, + "learning_rate": 4.6491446543700526e-07, + "loss": 0.2318, + "step": 2183 + }, + { + "epoch": 2.91, + "learning_rate": 4.511503559500474e-07, + "loss": 0.1345, + "step": 2184 + }, + { + "epoch": 2.91, + "learning_rate": 4.375926068928671e-07, + "loss": 0.1608, + "step": 2185 + }, + { + "epoch": 2.91, + "learning_rate": 4.24241246370094e-07, + "loss": 0.0932, + "step": 2186 + }, + { + "epoch": 2.92, + "learning_rate": 4.1109630205848906e-07, + "loss": 0.1836, + "step": 2187 + }, + { + "epoch": 2.92, + "learning_rate": 3.9815780120697756e-07, + "loss": 0.2273, + "step": 2188 + }, + { + "epoch": 2.92, + "learning_rate": 3.854257706364939e-07, + "loss": 0.1791, + "step": 2189 + }, + { + "epoch": 2.92, + "learning_rate": 3.729002367399925e-07, + "loss": 0.2305, + "step": 2190 + }, + { + "epoch": 2.92, + "learning_rate": 3.605812254823593e-07, + "loss": 0.1529, + "step": 2191 + }, + { + "epoch": 2.92, + "learning_rate": 3.484687624003447e-07, + "loss": 0.1679, + "step": 2192 + }, + { + "epoch": 2.92, + "learning_rate": 3.36562872602586e-07, + "loss": 0.1778, + "step": 2193 + }, + { + "epoch": 2.93, + "learning_rate": 3.248635807694744e-07, + "loss": 0.1135, + "step": 2194 + }, + { + "epoch": 2.93, + "learning_rate": 3.133709111530991e-07, + "loss": 0.1459, + "step": 2195 + }, + { + "epoch": 2.93, + "learning_rate": 3.0208488757730304e-07, + "loss": 0.11, + "step": 2196 + }, + { + "epoch": 2.93, + "learning_rate": 2.9100553343749395e-07, + "loss": 0.2145, + "step": 2197 + }, + { + "epoch": 2.93, + "learning_rate": 2.801328717007001e-07, + "loss": 0.2216, + "step": 2198 + }, + { + "epoch": 2.93, + "learning_rate": 2.694669249054926e-07, + "loss": 0.1492, + "step": 2199 + }, + { + "epoch": 2.93, + "learning_rate": 2.5900771516188527e-07, + "loss": 0.1949, + "step": 2200 + }, + { + "epoch": 2.93, + "learning_rate": 2.4875526415137907e-07, + "loss": 0.1104, + "step": 2201 + }, + { + "epoch": 2.94, + "learning_rate": 2.3870959312685123e-07, + "loss": 0.1878, + "step": 2202 + }, + { + "epoch": 2.94, + "learning_rate": 2.288707229125553e-07, + "loss": 0.1504, + "step": 2203 + }, + { + "epoch": 2.94, + "learning_rate": 2.1923867390403197e-07, + "loss": 0.1732, + "step": 2204 + }, + { + "epoch": 2.94, + "learning_rate": 2.0981346606809838e-07, + "loss": 0.2556, + "step": 2205 + }, + { + "epoch": 2.94, + "learning_rate": 2.0059511894279236e-07, + "loss": 0.1782, + "step": 2206 + }, + { + "epoch": 2.94, + "learning_rate": 1.9158365163736146e-07, + "loss": 0.1403, + "step": 2207 + }, + { + "epoch": 2.94, + "learning_rate": 1.8277908283217404e-07, + "loss": 0.1491, + "step": 2208 + }, + { + "epoch": 2.95, + "learning_rate": 1.741814307787304e-07, + "loss": 0.1186, + "step": 2209 + }, + { + "epoch": 2.95, + "learning_rate": 1.6579071329957395e-07, + "loss": 0.1553, + "step": 2210 + }, + { + "epoch": 2.95, + "learning_rate": 1.5760694778830242e-07, + "loss": 0.1199, + "step": 2211 + }, + { + "epoch": 2.95, + "learning_rate": 1.4963015120950107e-07, + "loss": 0.1342, + "step": 2212 + }, + { + "epoch": 2.95, + "learning_rate": 1.418603400987317e-07, + "loss": 0.1508, + "step": 2213 + }, + { + "epoch": 2.95, + "learning_rate": 1.3429753056246608e-07, + "loss": 0.1853, + "step": 2214 + }, + { + "epoch": 2.95, + "learning_rate": 1.2694173827807465e-07, + "loss": 0.1363, + "step": 2215 + }, + { + "epoch": 2.95, + "learning_rate": 1.1979297849381565e-07, + "loss": 0.1357, + "step": 2216 + }, + { + "epoch": 2.96, + "learning_rate": 1.1285126602873508e-07, + "loss": 0.1523, + "step": 2217 + }, + { + "epoch": 2.96, + "learning_rate": 1.061166152727111e-07, + "loss": 0.2478, + "step": 2218 + }, + { + "epoch": 2.96, + "learning_rate": 9.958904018637638e-08, + "loss": 0.2049, + "step": 2219 + }, + { + "epoch": 2.96, + "learning_rate": 9.326855430110692e-08, + "loss": 0.1381, + "step": 2220 + }, + { + "epoch": 2.96, + "learning_rate": 8.715517071899992e-08, + "loss": 0.0901, + "step": 2221 + }, + { + "epoch": 2.96, + "learning_rate": 8.124890211284042e-08, + "loss": 0.1667, + "step": 2222 + }, + { + "epoch": 2.96, + "learning_rate": 7.554976072605691e-08, + "loss": 0.223, + "step": 2223 + }, + { + "epoch": 2.97, + "learning_rate": 7.005775837272132e-08, + "loss": 0.1666, + "step": 2224 + }, + { + "epoch": 2.97, + "learning_rate": 6.477290643751577e-08, + "loss": 0.1381, + "step": 2225 + }, + { + "epoch": 2.97, + "learning_rate": 5.969521587571026e-08, + "loss": 0.2423, + "step": 2226 + }, + { + "epoch": 2.97, + "learning_rate": 5.482469721312944e-08, + "loss": 0.1153, + "step": 2227 + }, + { + "epoch": 2.97, + "learning_rate": 5.016136054616372e-08, + "loss": 0.1775, + "step": 2228 + }, + { + "epoch": 2.97, + "learning_rate": 4.570521554168039e-08, + "loss": 0.1897, + "step": 2229 + }, + { + "epoch": 2.97, + "learning_rate": 4.14562714371014e-08, + "loss": 0.1159, + "step": 2230 + }, + { + "epoch": 2.97, + "learning_rate": 3.74145370402812e-08, + "loss": 0.1498, + "step": 2231 + }, + { + "epoch": 2.98, + "learning_rate": 3.3580020729573333e-08, + "loss": 0.1637, + "step": 2232 + }, + { + "epoch": 2.98, + "learning_rate": 2.99527304537639e-08, + "loss": 0.2599, + "step": 2233 + }, + { + "epoch": 2.98, + "learning_rate": 2.6532673732049262e-08, + "loss": 0.0656, + "step": 2234 + }, + { + "epoch": 2.98, + "learning_rate": 2.3319857654080513e-08, + "loss": 0.2193, + "step": 2235 + }, + { + "epoch": 2.98, + "learning_rate": 2.0314288879874633e-08, + "loss": 0.0867, + "step": 2236 + }, + { + "epoch": 2.98, + "learning_rate": 1.7515973639836702e-08, + "loss": 0.232, + "step": 2237 + }, + { + "epoch": 2.98, + "learning_rate": 1.4924917734771005e-08, + "loss": 0.0731, + "step": 2238 + }, + { + "epoch": 2.99, + "learning_rate": 1.2541126535814408e-08, + "loss": 0.1749, + "step": 2239 + }, + { + "epoch": 2.99, + "learning_rate": 1.036460498445857e-08, + "loss": 0.1313, + "step": 2240 + }, + { + "epoch": 2.99, + "learning_rate": 8.395357592538844e-09, + "loss": 0.1749, + "step": 2241 + }, + { + "epoch": 2.99, + "learning_rate": 6.633388442223165e-09, + "loss": 0.0854, + "step": 2242 + }, + { + "epoch": 2.99, + "learning_rate": 5.078701186000956e-09, + "loss": 0.1896, + "step": 2243 + }, + { + "epoch": 2.99, + "learning_rate": 3.731299046660919e-09, + "loss": 0.1032, + "step": 2244 + }, + { + "epoch": 2.99, + "learning_rate": 2.5911848173132414e-09, + "loss": 0.0912, + "step": 2245 + }, + { + "epoch": 2.99, + "learning_rate": 1.6583608613562895e-09, + "loss": 0.1549, + "step": 2246 + }, + { + "epoch": 3.0, + "learning_rate": 9.328291125099143e-10, + "loss": 0.2782, + "step": 2247 + }, + { + "epoch": 3.0, + "learning_rate": 4.145910747710424e-10, + "loss": 0.1912, + "step": 2248 + }, + { + "epoch": 3.0, + "learning_rate": 1.0364782240257498e-10, + "loss": 0.1935, + "step": 2249 + }, + { + "epoch": 3.0, + "learning_rate": 0.0, + "loss": 0.1588, + "step": 2250 + }, + { + "epoch": 3.0, + "step": 2250, + "total_flos": 6.879030907659878e+17, + "train_loss": 0.667836711179879, + "train_runtime": 31107.2234, + "train_samples_per_second": 1.157, + "train_steps_per_second": 0.072 + } + ], + "logging_steps": 1.0, + "max_steps": 2250, + "num_input_tokens_seen": 0, + "num_train_epochs": 3, + "save_steps": 50000, + "total_flos": 6.879030907659878e+17, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +}