diff --git "a/checkpoint-2000/trainer_state.json" "b/checkpoint-2000/trainer_state.json" new file mode 100644--- /dev/null +++ "b/checkpoint-2000/trainer_state.json" @@ -0,0 +1,12019 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.5797941730685606, + "eval_steps": 500, + "global_step": 2000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 4.000000000000001e-06, + "loss": 1.5832, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 8.000000000000001e-06, + "loss": 1.516, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 1.2e-05, + "loss": 1.6493, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 1.6000000000000003e-05, + "loss": 1.7471, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 2e-05, + "loss": 1.7788, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 2.4e-05, + "loss": 1.6985, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 2.8000000000000003e-05, + "loss": 1.6358, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 3.2000000000000005e-05, + "loss": 1.7444, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 3.6e-05, + "loss": 1.8029, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 4e-05, + "loss": 1.633, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 4.4000000000000006e-05, + "loss": 1.6036, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 4.8e-05, + "loss": 1.7389, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 5.2000000000000004e-05, + "loss": 1.5451, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 5.6000000000000006e-05, + "loss": 1.5136, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 6e-05, + "loss": 1.4915, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 6.400000000000001e-05, + "loss": 1.5161, + "step": 16 + }, + { + "epoch": 0.0, + "learning_rate": 6.800000000000001e-05, + "loss": 1.5376, + "step": 17 + }, + { + "epoch": 0.01, + "learning_rate": 7.2e-05, + "loss": 1.5323, + "step": 18 + }, + { + "epoch": 0.01, + "learning_rate": 7.6e-05, + "loss": 1.5795, + "step": 19 + }, + { + "epoch": 0.01, + "learning_rate": 8e-05, + "loss": 1.5304, + "step": 20 + }, + { + "epoch": 0.01, + "learning_rate": 8.4e-05, + "loss": 1.736, + "step": 21 + }, + { + "epoch": 0.01, + "learning_rate": 8.800000000000001e-05, + "loss": 1.4172, + "step": 22 + }, + { + "epoch": 0.01, + "learning_rate": 9.200000000000001e-05, + "loss": 1.4842, + "step": 23 + }, + { + "epoch": 0.01, + "learning_rate": 9.6e-05, + "loss": 1.5846, + "step": 24 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001, + "loss": 1.419, + "step": 25 + }, + { + "epoch": 0.01, + "learning_rate": 0.00010400000000000001, + "loss": 1.5319, + "step": 26 + }, + { + "epoch": 0.01, + "learning_rate": 0.00010800000000000001, + "loss": 1.5199, + "step": 27 + }, + { + "epoch": 0.01, + "learning_rate": 0.00011200000000000001, + "loss": 1.5843, + "step": 28 + }, + { + "epoch": 0.01, + "learning_rate": 0.000116, + "loss": 1.3958, + "step": 29 + }, + { + "epoch": 0.01, + "learning_rate": 0.00012, + "loss": 1.3748, + "step": 30 + }, + { + "epoch": 0.01, + "learning_rate": 0.000124, + "loss": 1.5378, + "step": 31 + }, + { + "epoch": 0.01, + "learning_rate": 0.00012800000000000002, + "loss": 1.5137, + "step": 32 + }, + { + "epoch": 0.01, + "learning_rate": 0.000132, + "loss": 1.5762, + "step": 33 + }, + { + "epoch": 0.01, + "learning_rate": 0.00013600000000000003, + "loss": 1.4164, + "step": 34 + }, + { + "epoch": 0.01, + "learning_rate": 0.00014, + "loss": 1.5456, + "step": 35 + }, + { + "epoch": 0.01, + "learning_rate": 0.000144, + "loss": 1.4421, + "step": 36 + }, + { + "epoch": 0.01, + "learning_rate": 0.000148, + "loss": 1.341, + "step": 37 + }, + { + "epoch": 0.01, + "learning_rate": 0.000152, + "loss": 1.4324, + "step": 38 + }, + { + "epoch": 0.01, + "learning_rate": 0.00015600000000000002, + "loss": 1.5214, + "step": 39 + }, + { + "epoch": 0.01, + "learning_rate": 0.00016, + "loss": 1.2637, + "step": 40 + }, + { + "epoch": 0.01, + "learning_rate": 0.000164, + "loss": 1.5638, + "step": 41 + }, + { + "epoch": 0.01, + "learning_rate": 0.000168, + "loss": 1.3309, + "step": 42 + }, + { + "epoch": 0.01, + "learning_rate": 0.000172, + "loss": 1.3436, + "step": 43 + }, + { + "epoch": 0.01, + "learning_rate": 0.00017600000000000002, + "loss": 1.5341, + "step": 44 + }, + { + "epoch": 0.01, + "learning_rate": 0.00018, + "loss": 1.3339, + "step": 45 + }, + { + "epoch": 0.01, + "learning_rate": 0.00018400000000000003, + "loss": 1.3667, + "step": 46 + }, + { + "epoch": 0.01, + "learning_rate": 0.000188, + "loss": 1.3897, + "step": 47 + }, + { + "epoch": 0.01, + "learning_rate": 0.000192, + "loss": 1.3349, + "step": 48 + }, + { + "epoch": 0.01, + "learning_rate": 0.000196, + "loss": 1.4463, + "step": 49 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.3309, + "step": 50 + }, + { + "epoch": 0.01, + "learning_rate": 0.00020400000000000003, + "loss": 1.4589, + "step": 51 + }, + { + "epoch": 0.02, + "learning_rate": 0.00020800000000000001, + "loss": 1.421, + "step": 52 + }, + { + "epoch": 0.02, + "learning_rate": 0.00021200000000000003, + "loss": 1.399, + "step": 53 + }, + { + "epoch": 0.02, + "learning_rate": 0.00021600000000000002, + "loss": 1.3131, + "step": 54 + }, + { + "epoch": 0.02, + "learning_rate": 0.00022000000000000003, + "loss": 1.2907, + "step": 55 + }, + { + "epoch": 0.02, + "learning_rate": 0.00022400000000000002, + "loss": 1.443, + "step": 56 + }, + { + "epoch": 0.02, + "learning_rate": 0.00022799999999999999, + "loss": 1.5236, + "step": 57 + }, + { + "epoch": 0.02, + "learning_rate": 0.000232, + "loss": 1.3018, + "step": 58 + }, + { + "epoch": 0.02, + "learning_rate": 0.000236, + "loss": 1.4164, + "step": 59 + }, + { + "epoch": 0.02, + "learning_rate": 0.00024, + "loss": 1.3918, + "step": 60 + }, + { + "epoch": 0.02, + "learning_rate": 0.000244, + "loss": 1.5658, + "step": 61 + }, + { + "epoch": 0.02, + "learning_rate": 0.000248, + "loss": 1.3968, + "step": 62 + }, + { + "epoch": 0.02, + "learning_rate": 0.000252, + "loss": 1.4089, + "step": 63 + }, + { + "epoch": 0.02, + "learning_rate": 0.00025600000000000004, + "loss": 1.3224, + "step": 64 + }, + { + "epoch": 0.02, + "learning_rate": 0.00026000000000000003, + "loss": 1.5052, + "step": 65 + }, + { + "epoch": 0.02, + "learning_rate": 0.000264, + "loss": 1.4618, + "step": 66 + }, + { + "epoch": 0.02, + "learning_rate": 0.000268, + "loss": 1.405, + "step": 67 + }, + { + "epoch": 0.02, + "learning_rate": 0.00027200000000000005, + "loss": 1.3175, + "step": 68 + }, + { + "epoch": 0.02, + "learning_rate": 0.000276, + "loss": 1.2401, + "step": 69 + }, + { + "epoch": 0.02, + "learning_rate": 0.00028, + "loss": 1.3094, + "step": 70 + }, + { + "epoch": 0.02, + "learning_rate": 0.000284, + "loss": 1.2717, + "step": 71 + }, + { + "epoch": 0.02, + "learning_rate": 0.000288, + "loss": 1.2567, + "step": 72 + }, + { + "epoch": 0.02, + "learning_rate": 0.000292, + "loss": 1.4094, + "step": 73 + }, + { + "epoch": 0.02, + "learning_rate": 0.000296, + "loss": 1.3668, + "step": 74 + }, + { + "epoch": 0.02, + "learning_rate": 0.00030000000000000003, + "loss": 1.2809, + "step": 75 + }, + { + "epoch": 0.02, + "learning_rate": 0.000304, + "loss": 1.6195, + "step": 76 + }, + { + "epoch": 0.02, + "learning_rate": 0.000308, + "loss": 1.5164, + "step": 77 + }, + { + "epoch": 0.02, + "learning_rate": 0.00031200000000000005, + "loss": 1.3275, + "step": 78 + }, + { + "epoch": 0.02, + "learning_rate": 0.00031600000000000004, + "loss": 1.3314, + "step": 79 + }, + { + "epoch": 0.02, + "learning_rate": 0.00032, + "loss": 1.4825, + "step": 80 + }, + { + "epoch": 0.02, + "learning_rate": 0.000324, + "loss": 1.4019, + "step": 81 + }, + { + "epoch": 0.02, + "learning_rate": 0.000328, + "loss": 1.3452, + "step": 82 + }, + { + "epoch": 0.02, + "learning_rate": 0.000332, + "loss": 1.279, + "step": 83 + }, + { + "epoch": 0.02, + "learning_rate": 0.000336, + "loss": 1.4439, + "step": 84 + }, + { + "epoch": 0.02, + "learning_rate": 0.00034, + "loss": 1.3839, + "step": 85 + }, + { + "epoch": 0.02, + "learning_rate": 0.000344, + "loss": 1.2913, + "step": 86 + }, + { + "epoch": 0.03, + "learning_rate": 0.000348, + "loss": 1.3672, + "step": 87 + }, + { + "epoch": 0.03, + "learning_rate": 0.00035200000000000005, + "loss": 1.4193, + "step": 88 + }, + { + "epoch": 0.03, + "learning_rate": 0.00035600000000000003, + "loss": 1.4455, + "step": 89 + }, + { + "epoch": 0.03, + "learning_rate": 0.00036, + "loss": 1.2722, + "step": 90 + }, + { + "epoch": 0.03, + "learning_rate": 0.000364, + "loss": 1.5172, + "step": 91 + }, + { + "epoch": 0.03, + "learning_rate": 0.00036800000000000005, + "loss": 1.4723, + "step": 92 + }, + { + "epoch": 0.03, + "learning_rate": 0.00037200000000000004, + "loss": 1.2708, + "step": 93 + }, + { + "epoch": 0.03, + "learning_rate": 0.000376, + "loss": 1.4163, + "step": 94 + }, + { + "epoch": 0.03, + "learning_rate": 0.00038, + "loss": 1.4054, + "step": 95 + }, + { + "epoch": 0.03, + "learning_rate": 0.000384, + "loss": 1.3794, + "step": 96 + }, + { + "epoch": 0.03, + "learning_rate": 0.000388, + "loss": 1.3473, + "step": 97 + }, + { + "epoch": 0.03, + "learning_rate": 0.000392, + "loss": 1.5271, + "step": 98 + }, + { + "epoch": 0.03, + "learning_rate": 0.00039600000000000003, + "loss": 1.4365, + "step": 99 + }, + { + "epoch": 0.03, + "learning_rate": 0.0004, + "loss": 1.5053, + "step": 100 + }, + { + "epoch": 0.03, + "learning_rate": 0.0003999999120026855, + "loss": 1.3237, + "step": 101 + }, + { + "epoch": 0.03, + "learning_rate": 0.00039999964801081954, + "loss": 1.5015, + "step": 102 + }, + { + "epoch": 0.03, + "learning_rate": 0.0003999992080246343, + "loss": 1.2449, + "step": 103 + }, + { + "epoch": 0.03, + "learning_rate": 0.0003999985920445171, + "loss": 1.4435, + "step": 104 + }, + { + "epoch": 0.03, + "learning_rate": 0.0003999978000710098, + "loss": 1.4326, + "step": 105 + }, + { + "epoch": 0.03, + "learning_rate": 0.0003999968321048095, + "loss": 1.4118, + "step": 106 + }, + { + "epoch": 0.03, + "learning_rate": 0.0003999956881467678, + "loss": 1.4152, + "step": 107 + }, + { + "epoch": 0.03, + "learning_rate": 0.00039999436819789153, + "loss": 1.3995, + "step": 108 + }, + { + "epoch": 0.03, + "learning_rate": 0.0003999928722593421, + "loss": 1.3273, + "step": 109 + }, + { + "epoch": 0.03, + "learning_rate": 0.000399991200332436, + "loss": 1.2412, + "step": 110 + }, + { + "epoch": 0.03, + "learning_rate": 0.0003999893524186444, + "loss": 1.404, + "step": 111 + }, + { + "epoch": 0.03, + "learning_rate": 0.0003999873285195934, + "loss": 1.4241, + "step": 112 + }, + { + "epoch": 0.03, + "learning_rate": 0.000399985128637064, + "loss": 1.3263, + "step": 113 + }, + { + "epoch": 0.03, + "learning_rate": 0.000399982752772992, + "loss": 1.4066, + "step": 114 + }, + { + "epoch": 0.03, + "learning_rate": 0.00039998020092946824, + "loss": 1.4737, + "step": 115 + }, + { + "epoch": 0.03, + "learning_rate": 0.0003999774731087381, + "loss": 1.3736, + "step": 116 + }, + { + "epoch": 0.03, + "learning_rate": 0.0003999745693132021, + "loss": 1.3962, + "step": 117 + }, + { + "epoch": 0.03, + "learning_rate": 0.00039997148954541543, + "loss": 1.4497, + "step": 118 + }, + { + "epoch": 0.03, + "learning_rate": 0.00039996823380808824, + "loss": 1.3684, + "step": 119 + }, + { + "epoch": 0.03, + "learning_rate": 0.0003999648021040855, + "loss": 1.396, + "step": 120 + }, + { + "epoch": 0.04, + "learning_rate": 0.000399961194436427, + "loss": 1.4098, + "step": 121 + }, + { + "epoch": 0.04, + "learning_rate": 0.00039995741080828734, + "loss": 1.4442, + "step": 122 + }, + { + "epoch": 0.04, + "learning_rate": 0.0003999534512229961, + "loss": 1.3268, + "step": 123 + }, + { + "epoch": 0.04, + "learning_rate": 0.00039994931568403764, + "loss": 1.4533, + "step": 124 + }, + { + "epoch": 0.04, + "learning_rate": 0.000399945004195051, + "loss": 1.2902, + "step": 125 + }, + { + "epoch": 0.04, + "learning_rate": 0.0003999405167598303, + "loss": 1.3231, + "step": 126 + }, + { + "epoch": 0.04, + "learning_rate": 0.0003999358533823242, + "loss": 1.4404, + "step": 127 + }, + { + "epoch": 0.04, + "learning_rate": 0.0003999310140666365, + "loss": 1.5074, + "step": 128 + }, + { + "epoch": 0.04, + "learning_rate": 0.00039992599881702554, + "loss": 1.5619, + "step": 129 + }, + { + "epoch": 0.04, + "learning_rate": 0.00039992080763790475, + "loss": 1.4426, + "step": 130 + }, + { + "epoch": 0.04, + "learning_rate": 0.00039991544053384213, + "loss": 1.2351, + "step": 131 + }, + { + "epoch": 0.04, + "learning_rate": 0.00039990989750956064, + "loss": 1.3252, + "step": 132 + }, + { + "epoch": 0.04, + "learning_rate": 0.00039990417856993794, + "loss": 1.4116, + "step": 133 + }, + { + "epoch": 0.04, + "learning_rate": 0.00039989828372000657, + "loss": 1.3452, + "step": 134 + }, + { + "epoch": 0.04, + "learning_rate": 0.0003998922129649538, + "loss": 1.3856, + "step": 135 + }, + { + "epoch": 0.04, + "learning_rate": 0.0003998859663101218, + "loss": 1.3277, + "step": 136 + }, + { + "epoch": 0.04, + "learning_rate": 0.0003998795437610074, + "loss": 1.4707, + "step": 137 + }, + { + "epoch": 0.04, + "learning_rate": 0.00039987294532326233, + "loss": 1.4154, + "step": 138 + }, + { + "epoch": 0.04, + "learning_rate": 0.000399866171002693, + "loss": 1.4648, + "step": 139 + }, + { + "epoch": 0.04, + "learning_rate": 0.00039985922080526065, + "loss": 1.3241, + "step": 140 + }, + { + "epoch": 0.04, + "learning_rate": 0.0003998520947370812, + "loss": 1.3787, + "step": 141 + }, + { + "epoch": 0.04, + "learning_rate": 0.0003998447928044255, + "loss": 1.1477, + "step": 142 + }, + { + "epoch": 0.04, + "learning_rate": 0.000399837315013719, + "loss": 1.4423, + "step": 143 + }, + { + "epoch": 0.04, + "learning_rate": 0.00039982966137154193, + "loss": 1.4003, + "step": 144 + }, + { + "epoch": 0.04, + "learning_rate": 0.0003998218318846293, + "loss": 1.3892, + "step": 145 + }, + { + "epoch": 0.04, + "learning_rate": 0.00039981382655987095, + "loss": 1.4127, + "step": 146 + }, + { + "epoch": 0.04, + "learning_rate": 0.00039980564540431125, + "loss": 1.4172, + "step": 147 + }, + { + "epoch": 0.04, + "learning_rate": 0.00039979728842514935, + "loss": 1.3198, + "step": 148 + }, + { + "epoch": 0.04, + "learning_rate": 0.00039978875562973927, + "loss": 1.3332, + "step": 149 + }, + { + "epoch": 0.04, + "learning_rate": 0.00039978004702558966, + "loss": 1.4563, + "step": 150 + }, + { + "epoch": 0.04, + "learning_rate": 0.0003997711626203637, + "loss": 1.4628, + "step": 151 + }, + { + "epoch": 0.04, + "learning_rate": 0.00039976210242187964, + "loss": 1.358, + "step": 152 + }, + { + "epoch": 0.04, + "learning_rate": 0.00039975286643811, + "loss": 1.2227, + "step": 153 + }, + { + "epoch": 0.04, + "learning_rate": 0.0003997434546771824, + "loss": 1.4093, + "step": 154 + }, + { + "epoch": 0.04, + "learning_rate": 0.0003997338671473787, + "loss": 1.3938, + "step": 155 + }, + { + "epoch": 0.05, + "learning_rate": 0.0003997241038571359, + "loss": 1.2654, + "step": 156 + }, + { + "epoch": 0.05, + "learning_rate": 0.00039971416481504536, + "loss": 1.3301, + "step": 157 + }, + { + "epoch": 0.05, + "learning_rate": 0.0003997040500298531, + "loss": 1.4287, + "step": 158 + }, + { + "epoch": 0.05, + "learning_rate": 0.00039969375951045985, + "loss": 1.5021, + "step": 159 + }, + { + "epoch": 0.05, + "learning_rate": 0.00039968329326592117, + "loss": 1.3404, + "step": 160 + }, + { + "epoch": 0.05, + "learning_rate": 0.0003996726513054469, + "loss": 1.3392, + "step": 161 + }, + { + "epoch": 0.05, + "learning_rate": 0.0003996618336384017, + "loss": 1.4043, + "step": 162 + }, + { + "epoch": 0.05, + "learning_rate": 0.00039965084027430487, + "loss": 1.2441, + "step": 163 + }, + { + "epoch": 0.05, + "learning_rate": 0.00039963967122283033, + "loss": 1.442, + "step": 164 + }, + { + "epoch": 0.05, + "learning_rate": 0.00039962832649380635, + "loss": 1.3297, + "step": 165 + }, + { + "epoch": 0.05, + "learning_rate": 0.00039961680609721626, + "loss": 1.3974, + "step": 166 + }, + { + "epoch": 0.05, + "learning_rate": 0.00039960511004319746, + "loss": 1.4026, + "step": 167 + }, + { + "epoch": 0.05, + "learning_rate": 0.0003995932383420423, + "loss": 1.4038, + "step": 168 + }, + { + "epoch": 0.05, + "learning_rate": 0.0003995811910041975, + "loss": 1.2948, + "step": 169 + }, + { + "epoch": 0.05, + "learning_rate": 0.0003995689680402644, + "loss": 1.504, + "step": 170 + }, + { + "epoch": 0.05, + "learning_rate": 0.00039955656946099894, + "loss": 1.2047, + "step": 171 + }, + { + "epoch": 0.05, + "learning_rate": 0.0003995439952773114, + "loss": 1.328, + "step": 172 + }, + { + "epoch": 0.05, + "learning_rate": 0.0003995312455002669, + "loss": 1.3518, + "step": 173 + }, + { + "epoch": 0.05, + "learning_rate": 0.0003995183201410848, + "loss": 1.4515, + "step": 174 + }, + { + "epoch": 0.05, + "learning_rate": 0.000399505219211139, + "loss": 1.3857, + "step": 175 + }, + { + "epoch": 0.05, + "learning_rate": 0.0003994919427219581, + "loss": 1.4068, + "step": 176 + }, + { + "epoch": 0.05, + "learning_rate": 0.000399478490685225, + "loss": 1.2225, + "step": 177 + }, + { + "epoch": 0.05, + "learning_rate": 0.0003994648631127772, + "loss": 1.3794, + "step": 178 + }, + { + "epoch": 0.05, + "learning_rate": 0.0003994510600166065, + "loss": 1.4642, + "step": 179 + }, + { + "epoch": 0.05, + "learning_rate": 0.00039943708140885925, + "loss": 1.2692, + "step": 180 + }, + { + "epoch": 0.05, + "learning_rate": 0.00039942292730183625, + "loss": 1.3233, + "step": 181 + }, + { + "epoch": 0.05, + "learning_rate": 0.0003994085977079928, + "loss": 1.2888, + "step": 182 + }, + { + "epoch": 0.05, + "learning_rate": 0.00039939409263993854, + "loss": 1.4167, + "step": 183 + }, + { + "epoch": 0.05, + "learning_rate": 0.0003993794121104375, + "loss": 1.3193, + "step": 184 + }, + { + "epoch": 0.05, + "learning_rate": 0.0003993645561324082, + "loss": 1.4016, + "step": 185 + }, + { + "epoch": 0.05, + "learning_rate": 0.0003993495247189235, + "loss": 1.3544, + "step": 186 + }, + { + "epoch": 0.05, + "learning_rate": 0.0003993343178832106, + "loss": 1.4277, + "step": 187 + }, + { + "epoch": 0.05, + "learning_rate": 0.00039931893563865115, + "loss": 1.4128, + "step": 188 + }, + { + "epoch": 0.05, + "learning_rate": 0.00039930337799878103, + "loss": 1.3224, + "step": 189 + }, + { + "epoch": 0.06, + "learning_rate": 0.0003992876449772907, + "loss": 1.4007, + "step": 190 + }, + { + "epoch": 0.06, + "learning_rate": 0.0003992717365880246, + "loss": 1.2749, + "step": 191 + }, + { + "epoch": 0.06, + "learning_rate": 0.00039925565284498185, + "loss": 1.3118, + "step": 192 + }, + { + "epoch": 0.06, + "learning_rate": 0.00039923939376231563, + "loss": 1.2867, + "step": 193 + }, + { + "epoch": 0.06, + "learning_rate": 0.00039922295935433346, + "loss": 1.3441, + "step": 194 + }, + { + "epoch": 0.06, + "learning_rate": 0.0003992063496354973, + "loss": 1.3888, + "step": 195 + }, + { + "epoch": 0.06, + "learning_rate": 0.0003991895646204232, + "loss": 1.405, + "step": 196 + }, + { + "epoch": 0.06, + "learning_rate": 0.00039917260432388146, + "loss": 1.4234, + "step": 197 + }, + { + "epoch": 0.06, + "learning_rate": 0.0003991554687607968, + "loss": 1.4004, + "step": 198 + }, + { + "epoch": 0.06, + "learning_rate": 0.000399138157946248, + "loss": 1.4156, + "step": 199 + }, + { + "epoch": 0.06, + "learning_rate": 0.000399120671895468, + "loss": 1.4495, + "step": 200 + }, + { + "epoch": 0.06, + "learning_rate": 0.0003991030106238442, + "loss": 1.4346, + "step": 201 + }, + { + "epoch": 0.06, + "learning_rate": 0.000399085174146918, + "loss": 1.2202, + "step": 202 + }, + { + "epoch": 0.06, + "learning_rate": 0.00039906716248038507, + "loss": 1.473, + "step": 203 + }, + { + "epoch": 0.06, + "learning_rate": 0.0003990489756400951, + "loss": 1.3089, + "step": 204 + }, + { + "epoch": 0.06, + "learning_rate": 0.0003990306136420521, + "loss": 1.3049, + "step": 205 + }, + { + "epoch": 0.06, + "learning_rate": 0.0003990120765024141, + "loss": 1.3764, + "step": 206 + }, + { + "epoch": 0.06, + "learning_rate": 0.0003989933642374933, + "loss": 1.272, + "step": 207 + }, + { + "epoch": 0.06, + "learning_rate": 0.0003989744768637559, + "loss": 1.3248, + "step": 208 + }, + { + "epoch": 0.06, + "learning_rate": 0.0003989554143978224, + "loss": 1.3713, + "step": 209 + }, + { + "epoch": 0.06, + "learning_rate": 0.0003989361768564673, + "loss": 1.5846, + "step": 210 + }, + { + "epoch": 0.06, + "learning_rate": 0.000398916764256619, + "loss": 1.3624, + "step": 211 + }, + { + "epoch": 0.06, + "learning_rate": 0.00039889717661536003, + "loss": 1.3555, + "step": 212 + }, + { + "epoch": 0.06, + "learning_rate": 0.00039887741394992713, + "loss": 1.2427, + "step": 213 + }, + { + "epoch": 0.06, + "learning_rate": 0.0003988574762777108, + "loss": 1.4018, + "step": 214 + }, + { + "epoch": 0.06, + "learning_rate": 0.0003988373636162558, + "loss": 1.3019, + "step": 215 + }, + { + "epoch": 0.06, + "learning_rate": 0.0003988170759832605, + "loss": 1.3403, + "step": 216 + }, + { + "epoch": 0.06, + "learning_rate": 0.00039879661339657776, + "loss": 1.3435, + "step": 217 + }, + { + "epoch": 0.06, + "learning_rate": 0.0003987759758742138, + "loss": 1.4053, + "step": 218 + }, + { + "epoch": 0.06, + "learning_rate": 0.00039875516343432937, + "loss": 1.4096, + "step": 219 + }, + { + "epoch": 0.06, + "learning_rate": 0.00039873417609523863, + "loss": 1.4866, + "step": 220 + }, + { + "epoch": 0.06, + "learning_rate": 0.00039871301387541, + "loss": 1.4622, + "step": 221 + }, + { + "epoch": 0.06, + "learning_rate": 0.00039869167679346573, + "loss": 1.3574, + "step": 222 + }, + { + "epoch": 0.06, + "learning_rate": 0.0003986701648681817, + "loss": 1.4224, + "step": 223 + }, + { + "epoch": 0.06, + "learning_rate": 0.000398648478118488, + "loss": 1.3927, + "step": 224 + }, + { + "epoch": 0.07, + "learning_rate": 0.00039862661656346816, + "loss": 1.3708, + "step": 225 + }, + { + "epoch": 0.07, + "learning_rate": 0.00039860458022236, + "loss": 1.2435, + "step": 226 + }, + { + "epoch": 0.07, + "learning_rate": 0.0003985823691145548, + "loss": 1.2099, + "step": 227 + }, + { + "epoch": 0.07, + "learning_rate": 0.0003985599832595977, + "loss": 1.3541, + "step": 228 + }, + { + "epoch": 0.07, + "learning_rate": 0.00039853742267718776, + "loss": 1.3682, + "step": 229 + }, + { + "epoch": 0.07, + "learning_rate": 0.00039851468738717765, + "loss": 1.3608, + "step": 230 + }, + { + "epoch": 0.07, + "learning_rate": 0.00039849177740957373, + "loss": 1.4069, + "step": 231 + }, + { + "epoch": 0.07, + "learning_rate": 0.00039846869276453624, + "loss": 1.7075, + "step": 232 + }, + { + "epoch": 0.07, + "learning_rate": 0.000398445433472379, + "loss": 1.257, + "step": 233 + }, + { + "epoch": 0.07, + "learning_rate": 0.0003984219995535697, + "loss": 1.3831, + "step": 234 + }, + { + "epoch": 0.07, + "learning_rate": 0.00039839839102872936, + "loss": 1.3522, + "step": 235 + }, + { + "epoch": 0.07, + "learning_rate": 0.00039837460791863297, + "loss": 1.4216, + "step": 236 + }, + { + "epoch": 0.07, + "learning_rate": 0.000398350650244209, + "loss": 1.3535, + "step": 237 + }, + { + "epoch": 0.07, + "learning_rate": 0.0003983265180265396, + "loss": 1.3365, + "step": 238 + }, + { + "epoch": 0.07, + "learning_rate": 0.0003983022112868604, + "loss": 1.4763, + "step": 239 + }, + { + "epoch": 0.07, + "learning_rate": 0.0003982777300465608, + "loss": 1.3085, + "step": 240 + }, + { + "epoch": 0.07, + "learning_rate": 0.0003982530743271834, + "loss": 1.3435, + "step": 241 + }, + { + "epoch": 0.07, + "learning_rate": 0.0003982282441504248, + "loss": 1.1607, + "step": 242 + }, + { + "epoch": 0.07, + "learning_rate": 0.0003982032395381348, + "loss": 1.3848, + "step": 243 + }, + { + "epoch": 0.07, + "learning_rate": 0.00039817806051231685, + "loss": 1.5452, + "step": 244 + }, + { + "epoch": 0.07, + "learning_rate": 0.0003981527070951277, + "loss": 1.4223, + "step": 245 + }, + { + "epoch": 0.07, + "learning_rate": 0.00039812717930887777, + "loss": 1.5239, + "step": 246 + }, + { + "epoch": 0.07, + "learning_rate": 0.0003981014771760307, + "loss": 1.4098, + "step": 247 + }, + { + "epoch": 0.07, + "learning_rate": 0.0003980756007192039, + "loss": 1.2477, + "step": 248 + }, + { + "epoch": 0.07, + "learning_rate": 0.00039804954996116774, + "loss": 1.2293, + "step": 249 + }, + { + "epoch": 0.07, + "learning_rate": 0.0003980233249248463, + "loss": 1.2934, + "step": 250 + }, + { + "epoch": 0.07, + "learning_rate": 0.00039799692563331686, + "loss": 1.2993, + "step": 251 + }, + { + "epoch": 0.07, + "learning_rate": 0.0003979703521098102, + "loss": 1.4085, + "step": 252 + }, + { + "epoch": 0.07, + "learning_rate": 0.00039794360437771015, + "loss": 1.2628, + "step": 253 + }, + { + "epoch": 0.07, + "learning_rate": 0.00039791668246055406, + "loss": 1.4072, + "step": 254 + }, + { + "epoch": 0.07, + "learning_rate": 0.0003978895863820325, + "loss": 1.3316, + "step": 255 + }, + { + "epoch": 0.07, + "learning_rate": 0.00039786231616598935, + "loss": 1.3214, + "step": 256 + }, + { + "epoch": 0.07, + "learning_rate": 0.00039783487183642154, + "loss": 1.3406, + "step": 257 + }, + { + "epoch": 0.07, + "learning_rate": 0.00039780725341747946, + "loss": 1.5058, + "step": 258 + }, + { + "epoch": 0.08, + "learning_rate": 0.0003977794609334665, + "loss": 1.2867, + "step": 259 + }, + { + "epoch": 0.08, + "learning_rate": 0.00039775149440883934, + "loss": 1.3296, + "step": 260 + }, + { + "epoch": 0.08, + "learning_rate": 0.0003977233538682077, + "loss": 1.3374, + "step": 261 + }, + { + "epoch": 0.08, + "learning_rate": 0.0003976950393363346, + "loss": 1.3311, + "step": 262 + }, + { + "epoch": 0.08, + "learning_rate": 0.00039766655083813603, + "loss": 1.3599, + "step": 263 + }, + { + "epoch": 0.08, + "learning_rate": 0.0003976378883986811, + "loss": 1.2804, + "step": 264 + }, + { + "epoch": 0.08, + "learning_rate": 0.000397609052043192, + "loss": 1.2712, + "step": 265 + }, + { + "epoch": 0.08, + "learning_rate": 0.00039758004179704393, + "loss": 1.3557, + "step": 266 + }, + { + "epoch": 0.08, + "learning_rate": 0.0003975508576857651, + "loss": 1.2742, + "step": 267 + }, + { + "epoch": 0.08, + "learning_rate": 0.0003975214997350368, + "loss": 1.5171, + "step": 268 + }, + { + "epoch": 0.08, + "learning_rate": 0.00039749196797069316, + "loss": 1.4556, + "step": 269 + }, + { + "epoch": 0.08, + "learning_rate": 0.0003974622624187215, + "loss": 1.2967, + "step": 270 + }, + { + "epoch": 0.08, + "learning_rate": 0.00039743238310526173, + "loss": 1.3242, + "step": 271 + }, + { + "epoch": 0.08, + "learning_rate": 0.0003974023300566069, + "loss": 1.2761, + "step": 272 + }, + { + "epoch": 0.08, + "learning_rate": 0.0003973721032992029, + "loss": 1.3672, + "step": 273 + }, + { + "epoch": 0.08, + "learning_rate": 0.0003973417028596485, + "loss": 1.3849, + "step": 274 + }, + { + "epoch": 0.08, + "learning_rate": 0.00039731112876469527, + "loss": 1.3892, + "step": 275 + }, + { + "epoch": 0.08, + "learning_rate": 0.0003972803810412475, + "loss": 1.3909, + "step": 276 + }, + { + "epoch": 0.08, + "learning_rate": 0.0003972494597163625, + "loss": 1.407, + "step": 277 + }, + { + "epoch": 0.08, + "learning_rate": 0.00039721836481725, + "loss": 1.3331, + "step": 278 + }, + { + "epoch": 0.08, + "learning_rate": 0.00039718709637127285, + "loss": 1.4107, + "step": 279 + }, + { + "epoch": 0.08, + "learning_rate": 0.00039715565440594637, + "loss": 1.3444, + "step": 280 + }, + { + "epoch": 0.08, + "learning_rate": 0.00039712403894893875, + "loss": 1.3164, + "step": 281 + }, + { + "epoch": 0.08, + "learning_rate": 0.0003970922500280706, + "loss": 1.4395, + "step": 282 + }, + { + "epoch": 0.08, + "learning_rate": 0.00039706028767131545, + "loss": 1.4244, + "step": 283 + }, + { + "epoch": 0.08, + "learning_rate": 0.00039702815190679916, + "loss": 1.2813, + "step": 284 + }, + { + "epoch": 0.08, + "learning_rate": 0.00039699584276280044, + "loss": 1.427, + "step": 285 + }, + { + "epoch": 0.08, + "learning_rate": 0.00039696336026775043, + "loss": 1.1327, + "step": 286 + }, + { + "epoch": 0.08, + "learning_rate": 0.000396930704450233, + "loss": 1.3982, + "step": 287 + }, + { + "epoch": 0.08, + "learning_rate": 0.00039689787533898414, + "loss": 1.3648, + "step": 288 + }, + { + "epoch": 0.08, + "learning_rate": 0.0003968648729628927, + "loss": 1.3662, + "step": 289 + }, + { + "epoch": 0.08, + "learning_rate": 0.00039683169735099997, + "loss": 1.3564, + "step": 290 + }, + { + "epoch": 0.08, + "learning_rate": 0.00039679834853249954, + "loss": 1.3171, + "step": 291 + }, + { + "epoch": 0.08, + "learning_rate": 0.0003967648265367374, + "loss": 1.4295, + "step": 292 + }, + { + "epoch": 0.08, + "learning_rate": 0.00039673113139321217, + "loss": 1.2965, + "step": 293 + }, + { + "epoch": 0.09, + "learning_rate": 0.00039669726313157447, + "loss": 1.6415, + "step": 294 + }, + { + "epoch": 0.09, + "learning_rate": 0.00039666322178162763, + "loss": 1.2551, + "step": 295 + }, + { + "epoch": 0.09, + "learning_rate": 0.00039662900737332695, + "loss": 1.3234, + "step": 296 + }, + { + "epoch": 0.09, + "learning_rate": 0.0003965946199367804, + "loss": 1.3994, + "step": 297 + }, + { + "epoch": 0.09, + "learning_rate": 0.0003965600595022478, + "loss": 1.206, + "step": 298 + }, + { + "epoch": 0.09, + "learning_rate": 0.0003965253261001416, + "loss": 1.2827, + "step": 299 + }, + { + "epoch": 0.09, + "learning_rate": 0.0003964904197610261, + "loss": 1.3162, + "step": 300 + }, + { + "epoch": 0.09, + "learning_rate": 0.000396455340515618, + "loss": 1.5978, + "step": 301 + }, + { + "epoch": 0.09, + "learning_rate": 0.00039642008839478615, + "loss": 1.3232, + "step": 302 + }, + { + "epoch": 0.09, + "learning_rate": 0.0003963846634295513, + "loss": 1.2778, + "step": 303 + }, + { + "epoch": 0.09, + "learning_rate": 0.00039634906565108667, + "loss": 1.3913, + "step": 304 + }, + { + "epoch": 0.09, + "learning_rate": 0.00039631329509071724, + "loss": 1.2894, + "step": 305 + }, + { + "epoch": 0.09, + "learning_rate": 0.00039627735177992024, + "loss": 1.3261, + "step": 306 + }, + { + "epoch": 0.09, + "learning_rate": 0.0003962412357503246, + "loss": 1.3329, + "step": 307 + }, + { + "epoch": 0.09, + "learning_rate": 0.00039620494703371175, + "loss": 1.3168, + "step": 308 + }, + { + "epoch": 0.09, + "learning_rate": 0.00039616848566201453, + "loss": 1.3801, + "step": 309 + }, + { + "epoch": 0.09, + "learning_rate": 0.00039613185166731814, + "loss": 1.3349, + "step": 310 + }, + { + "epoch": 0.09, + "learning_rate": 0.00039609504508185937, + "loss": 1.2949, + "step": 311 + }, + { + "epoch": 0.09, + "learning_rate": 0.00039605806593802714, + "loss": 1.1931, + "step": 312 + }, + { + "epoch": 0.09, + "learning_rate": 0.00039602091426836205, + "loss": 1.5426, + "step": 313 + }, + { + "epoch": 0.09, + "learning_rate": 0.0003959835901055566, + "loss": 1.4269, + "step": 314 + }, + { + "epoch": 0.09, + "learning_rate": 0.00039594609348245506, + "loss": 1.3779, + "step": 315 + }, + { + "epoch": 0.09, + "learning_rate": 0.00039590842443205335, + "loss": 1.3227, + "step": 316 + }, + { + "epoch": 0.09, + "learning_rate": 0.0003958705829874994, + "loss": 1.331, + "step": 317 + }, + { + "epoch": 0.09, + "learning_rate": 0.0003958325691820925, + "loss": 1.2632, + "step": 318 + }, + { + "epoch": 0.09, + "learning_rate": 0.00039579438304928385, + "loss": 1.3223, + "step": 319 + }, + { + "epoch": 0.09, + "learning_rate": 0.0003957560246226763, + "loss": 1.396, + "step": 320 + }, + { + "epoch": 0.09, + "learning_rate": 0.00039571749393602405, + "loss": 1.3239, + "step": 321 + }, + { + "epoch": 0.09, + "learning_rate": 0.0003956787910232332, + "loss": 1.4516, + "step": 322 + }, + { + "epoch": 0.09, + "learning_rate": 0.00039563991591836127, + "loss": 1.3951, + "step": 323 + }, + { + "epoch": 0.09, + "learning_rate": 0.0003956008686556172, + "loss": 1.3145, + "step": 324 + }, + { + "epoch": 0.09, + "learning_rate": 0.0003955616492693617, + "loss": 1.298, + "step": 325 + }, + { + "epoch": 0.09, + "learning_rate": 0.0003955222577941067, + "loss": 1.3131, + "step": 326 + }, + { + "epoch": 0.09, + "learning_rate": 0.00039548269426451557, + "loss": 1.2039, + "step": 327 + }, + { + "epoch": 0.1, + "learning_rate": 0.0003954429587154032, + "loss": 1.3435, + "step": 328 + }, + { + "epoch": 0.1, + "learning_rate": 0.0003954030511817359, + "loss": 1.4773, + "step": 329 + }, + { + "epoch": 0.1, + "learning_rate": 0.0003953629716986311, + "loss": 1.4621, + "step": 330 + }, + { + "epoch": 0.1, + "learning_rate": 0.0003953227203013577, + "loss": 1.4583, + "step": 331 + }, + { + "epoch": 0.1, + "learning_rate": 0.0003952822970253359, + "loss": 1.4588, + "step": 332 + }, + { + "epoch": 0.1, + "learning_rate": 0.0003952417019061371, + "loss": 1.3788, + "step": 333 + }, + { + "epoch": 0.1, + "learning_rate": 0.0003952009349794838, + "loss": 1.3653, + "step": 334 + }, + { + "epoch": 0.1, + "learning_rate": 0.0003951599962812499, + "loss": 1.2425, + "step": 335 + }, + { + "epoch": 0.1, + "learning_rate": 0.00039511888584746035, + "loss": 1.2731, + "step": 336 + }, + { + "epoch": 0.1, + "learning_rate": 0.00039507760371429126, + "loss": 1.3504, + "step": 337 + }, + { + "epoch": 0.1, + "learning_rate": 0.0003950361499180697, + "loss": 1.3654, + "step": 338 + }, + { + "epoch": 0.1, + "learning_rate": 0.00039499452449527395, + "loss": 1.3129, + "step": 339 + }, + { + "epoch": 0.1, + "learning_rate": 0.00039495272748253326, + "loss": 1.4244, + "step": 340 + }, + { + "epoch": 0.1, + "learning_rate": 0.00039491075891662794, + "loss": 1.41, + "step": 341 + }, + { + "epoch": 0.1, + "learning_rate": 0.00039486861883448907, + "loss": 1.2094, + "step": 342 + }, + { + "epoch": 0.1, + "learning_rate": 0.00039482630727319883, + "loss": 1.5471, + "step": 343 + }, + { + "epoch": 0.1, + "learning_rate": 0.0003947838242699904, + "loss": 1.2915, + "step": 344 + }, + { + "epoch": 0.1, + "learning_rate": 0.0003947411698622475, + "loss": 1.3057, + "step": 345 + }, + { + "epoch": 0.1, + "learning_rate": 0.000394698344087505, + "loss": 1.374, + "step": 346 + }, + { + "epoch": 0.1, + "learning_rate": 0.00039465534698344826, + "loss": 1.3786, + "step": 347 + }, + { + "epoch": 0.1, + "learning_rate": 0.0003946121785879138, + "loss": 1.4415, + "step": 348 + }, + { + "epoch": 0.1, + "learning_rate": 0.00039456883893888845, + "loss": 1.2374, + "step": 349 + }, + { + "epoch": 0.1, + "learning_rate": 0.00039452532807451006, + "loss": 1.3662, + "step": 350 + }, + { + "epoch": 0.1, + "learning_rate": 0.0003944816460330669, + "loss": 1.2629, + "step": 351 + }, + { + "epoch": 0.1, + "learning_rate": 0.00039443779285299824, + "loss": 1.2885, + "step": 352 + }, + { + "epoch": 0.1, + "learning_rate": 0.0003943937685728934, + "loss": 1.3265, + "step": 353 + }, + { + "epoch": 0.1, + "learning_rate": 0.00039434957323149277, + "loss": 1.2861, + "step": 354 + }, + { + "epoch": 0.1, + "learning_rate": 0.00039430520686768695, + "loss": 1.27, + "step": 355 + }, + { + "epoch": 0.1, + "learning_rate": 0.0003942606695205172, + "loss": 1.1879, + "step": 356 + }, + { + "epoch": 0.1, + "learning_rate": 0.0003942159612291752, + "loss": 1.4018, + "step": 357 + }, + { + "epoch": 0.1, + "learning_rate": 0.000394171082033003, + "loss": 1.3663, + "step": 358 + }, + { + "epoch": 0.1, + "learning_rate": 0.0003941260319714932, + "loss": 1.2719, + "step": 359 + }, + { + "epoch": 0.1, + "learning_rate": 0.00039408081108428843, + "loss": 1.3557, + "step": 360 + }, + { + "epoch": 0.1, + "learning_rate": 0.0003940354194111821, + "loss": 1.251, + "step": 361 + }, + { + "epoch": 0.1, + "learning_rate": 0.0003939898569921175, + "loss": 1.4242, + "step": 362 + }, + { + "epoch": 0.11, + "learning_rate": 0.0003939441238671884, + "loss": 1.464, + "step": 363 + }, + { + "epoch": 0.11, + "learning_rate": 0.00039389822007663866, + "loss": 1.279, + "step": 364 + }, + { + "epoch": 0.11, + "learning_rate": 0.0003938521456608625, + "loss": 1.4705, + "step": 365 + }, + { + "epoch": 0.11, + "learning_rate": 0.000393805900660404, + "loss": 1.2939, + "step": 366 + }, + { + "epoch": 0.11, + "learning_rate": 0.0003937594851159577, + "loss": 1.3762, + "step": 367 + }, + { + "epoch": 0.11, + "learning_rate": 0.00039371289906836793, + "loss": 1.504, + "step": 368 + }, + { + "epoch": 0.11, + "learning_rate": 0.00039366614255862916, + "loss": 1.1273, + "step": 369 + }, + { + "epoch": 0.11, + "learning_rate": 0.00039361921562788594, + "loss": 1.2929, + "step": 370 + }, + { + "epoch": 0.11, + "learning_rate": 0.0003935721183174326, + "loss": 1.461, + "step": 371 + }, + { + "epoch": 0.11, + "learning_rate": 0.00039352485066871355, + "loss": 1.2933, + "step": 372 + }, + { + "epoch": 0.11, + "learning_rate": 0.0003934774127233231, + "loss": 1.2856, + "step": 373 + }, + { + "epoch": 0.11, + "learning_rate": 0.0003934298045230053, + "loss": 1.3504, + "step": 374 + }, + { + "epoch": 0.11, + "learning_rate": 0.0003933820261096541, + "loss": 1.3782, + "step": 375 + }, + { + "epoch": 0.11, + "learning_rate": 0.00039333407752531333, + "loss": 1.2738, + "step": 376 + }, + { + "epoch": 0.11, + "learning_rate": 0.00039328595881217625, + "loss": 1.4028, + "step": 377 + }, + { + "epoch": 0.11, + "learning_rate": 0.0003932376700125862, + "loss": 1.3697, + "step": 378 + }, + { + "epoch": 0.11, + "learning_rate": 0.000393189211169036, + "loss": 1.471, + "step": 379 + }, + { + "epoch": 0.11, + "learning_rate": 0.0003931405823241681, + "loss": 1.4331, + "step": 380 + }, + { + "epoch": 0.11, + "learning_rate": 0.00039309178352077455, + "loss": 1.3678, + "step": 381 + }, + { + "epoch": 0.11, + "learning_rate": 0.0003930428148017971, + "loss": 1.2892, + "step": 382 + }, + { + "epoch": 0.11, + "learning_rate": 0.00039299367621032673, + "loss": 1.381, + "step": 383 + }, + { + "epoch": 0.11, + "learning_rate": 0.0003929443677896042, + "loss": 1.255, + "step": 384 + }, + { + "epoch": 0.11, + "learning_rate": 0.00039289488958301963, + "loss": 1.5373, + "step": 385 + }, + { + "epoch": 0.11, + "learning_rate": 0.0003928452416341124, + "loss": 1.4048, + "step": 386 + }, + { + "epoch": 0.11, + "learning_rate": 0.0003927954239865715, + "loss": 1.3485, + "step": 387 + }, + { + "epoch": 0.11, + "learning_rate": 0.00039274543668423495, + "loss": 1.3841, + "step": 388 + }, + { + "epoch": 0.11, + "learning_rate": 0.00039269527977109044, + "loss": 1.2156, + "step": 389 + }, + { + "epoch": 0.11, + "learning_rate": 0.0003926449532912746, + "loss": 1.4647, + "step": 390 + }, + { + "epoch": 0.11, + "learning_rate": 0.00039259445728907327, + "loss": 1.3239, + "step": 391 + }, + { + "epoch": 0.11, + "learning_rate": 0.0003925437918089218, + "loss": 1.2882, + "step": 392 + }, + { + "epoch": 0.11, + "learning_rate": 0.00039249295689540426, + "loss": 1.3821, + "step": 393 + }, + { + "epoch": 0.11, + "learning_rate": 0.00039244195259325416, + "loss": 1.1908, + "step": 394 + }, + { + "epoch": 0.11, + "learning_rate": 0.00039239077894735383, + "loss": 1.1618, + "step": 395 + }, + { + "epoch": 0.11, + "learning_rate": 0.0003923394360027347, + "loss": 1.3317, + "step": 396 + }, + { + "epoch": 0.12, + "learning_rate": 0.0003922879238045773, + "loss": 1.5053, + "step": 397 + }, + { + "epoch": 0.12, + "learning_rate": 0.00039223624239821073, + "loss": 1.3213, + "step": 398 + }, + { + "epoch": 0.12, + "learning_rate": 0.0003921843918291135, + "loss": 1.1913, + "step": 399 + }, + { + "epoch": 0.12, + "learning_rate": 0.0003921323721429126, + "loss": 1.3521, + "step": 400 + }, + { + "epoch": 0.12, + "learning_rate": 0.00039208018338538386, + "loss": 1.4003, + "step": 401 + }, + { + "epoch": 0.12, + "learning_rate": 0.0003920278256024522, + "loss": 1.2853, + "step": 402 + }, + { + "epoch": 0.12, + "learning_rate": 0.00039197529884019096, + "loss": 1.6179, + "step": 403 + }, + { + "epoch": 0.12, + "learning_rate": 0.00039192260314482223, + "loss": 1.3391, + "step": 404 + }, + { + "epoch": 0.12, + "learning_rate": 0.00039186973856271683, + "loss": 1.3379, + "step": 405 + }, + { + "epoch": 0.12, + "learning_rate": 0.0003918167051403943, + "loss": 1.2994, + "step": 406 + }, + { + "epoch": 0.12, + "learning_rate": 0.00039176350292452244, + "loss": 1.3591, + "step": 407 + }, + { + "epoch": 0.12, + "learning_rate": 0.00039171013196191793, + "loss": 1.259, + "step": 408 + }, + { + "epoch": 0.12, + "learning_rate": 0.00039165659229954566, + "loss": 1.402, + "step": 409 + }, + { + "epoch": 0.12, + "learning_rate": 0.00039160288398451906, + "loss": 1.2868, + "step": 410 + }, + { + "epoch": 0.12, + "learning_rate": 0.0003915490070641002, + "loss": 1.4592, + "step": 411 + }, + { + "epoch": 0.12, + "learning_rate": 0.00039149496158569924, + "loss": 1.3848, + "step": 412 + }, + { + "epoch": 0.12, + "learning_rate": 0.0003914407475968746, + "loss": 1.292, + "step": 413 + }, + { + "epoch": 0.12, + "learning_rate": 0.0003913863651453333, + "loss": 1.2964, + "step": 414 + }, + { + "epoch": 0.12, + "learning_rate": 0.00039133181427893044, + "loss": 1.2426, + "step": 415 + }, + { + "epoch": 0.12, + "learning_rate": 0.0003912770950456693, + "loss": 1.3032, + "step": 416 + }, + { + "epoch": 0.12, + "learning_rate": 0.00039122220749370125, + "loss": 1.427, + "step": 417 + }, + { + "epoch": 0.12, + "learning_rate": 0.00039116715167132593, + "loss": 1.1978, + "step": 418 + }, + { + "epoch": 0.12, + "learning_rate": 0.00039111192762699093, + "loss": 1.3663, + "step": 419 + }, + { + "epoch": 0.12, + "learning_rate": 0.00039105653540929197, + "loss": 1.2532, + "step": 420 + }, + { + "epoch": 0.12, + "learning_rate": 0.00039100097506697276, + "loss": 1.2392, + "step": 421 + }, + { + "epoch": 0.12, + "learning_rate": 0.00039094524664892483, + "loss": 1.2665, + "step": 422 + }, + { + "epoch": 0.12, + "learning_rate": 0.00039088935020418776, + "loss": 1.2964, + "step": 423 + }, + { + "epoch": 0.12, + "learning_rate": 0.0003908332857819488, + "loss": 1.3515, + "step": 424 + }, + { + "epoch": 0.12, + "learning_rate": 0.0003907770534315433, + "loss": 1.4667, + "step": 425 + }, + { + "epoch": 0.12, + "learning_rate": 0.00039072065320245415, + "loss": 1.2508, + "step": 426 + }, + { + "epoch": 0.12, + "learning_rate": 0.000390664085144312, + "loss": 1.1843, + "step": 427 + }, + { + "epoch": 0.12, + "learning_rate": 0.0003906073493068952, + "loss": 1.2708, + "step": 428 + }, + { + "epoch": 0.12, + "learning_rate": 0.0003905504457401299, + "loss": 1.2819, + "step": 429 + }, + { + "epoch": 0.12, + "learning_rate": 0.00039049337449408955, + "loss": 1.3026, + "step": 430 + }, + { + "epoch": 0.12, + "learning_rate": 0.0003904361356189954, + "loss": 1.3789, + "step": 431 + }, + { + "epoch": 0.13, + "learning_rate": 0.00039037872916521614, + "loss": 1.324, + "step": 432 + }, + { + "epoch": 0.13, + "learning_rate": 0.0003903211551832678, + "loss": 1.4777, + "step": 433 + }, + { + "epoch": 0.13, + "learning_rate": 0.0003902634137238141, + "loss": 1.3832, + "step": 434 + }, + { + "epoch": 0.13, + "learning_rate": 0.00039020550483766583, + "loss": 1.2534, + "step": 435 + }, + { + "epoch": 0.13, + "learning_rate": 0.0003901474285757813, + "loss": 1.3532, + "step": 436 + }, + { + "epoch": 0.13, + "learning_rate": 0.0003900891849892661, + "loss": 1.1942, + "step": 437 + }, + { + "epoch": 0.13, + "learning_rate": 0.000390030774129373, + "loss": 1.3259, + "step": 438 + }, + { + "epoch": 0.13, + "learning_rate": 0.00038997219604750195, + "loss": 1.3383, + "step": 439 + }, + { + "epoch": 0.13, + "learning_rate": 0.00038991345079520014, + "loss": 1.3872, + "step": 440 + }, + { + "epoch": 0.13, + "learning_rate": 0.00038985453842416183, + "loss": 1.2964, + "step": 441 + }, + { + "epoch": 0.13, + "learning_rate": 0.0003897954589862282, + "loss": 1.4885, + "step": 442 + }, + { + "epoch": 0.13, + "learning_rate": 0.00038973621253338776, + "loss": 1.1836, + "step": 443 + }, + { + "epoch": 0.13, + "learning_rate": 0.0003896767991177757, + "loss": 1.3709, + "step": 444 + }, + { + "epoch": 0.13, + "learning_rate": 0.0003896172187916741, + "loss": 1.3361, + "step": 445 + }, + { + "epoch": 0.13, + "learning_rate": 0.0003895574716075123, + "loss": 1.4199, + "step": 446 + }, + { + "epoch": 0.13, + "learning_rate": 0.00038949755761786604, + "loss": 1.3185, + "step": 447 + }, + { + "epoch": 0.13, + "learning_rate": 0.0003894374768754581, + "loss": 1.4701, + "step": 448 + }, + { + "epoch": 0.13, + "learning_rate": 0.0003893772294331578, + "loss": 1.2512, + "step": 449 + }, + { + "epoch": 0.13, + "learning_rate": 0.00038931681534398147, + "loss": 1.4217, + "step": 450 + }, + { + "epoch": 0.13, + "learning_rate": 0.00038925623466109176, + "loss": 1.393, + "step": 451 + }, + { + "epoch": 0.13, + "learning_rate": 0.00038919548743779803, + "loss": 1.4419, + "step": 452 + }, + { + "epoch": 0.13, + "learning_rate": 0.00038913457372755626, + "loss": 1.2372, + "step": 453 + }, + { + "epoch": 0.13, + "learning_rate": 0.0003890734935839688, + "loss": 1.4241, + "step": 454 + }, + { + "epoch": 0.13, + "learning_rate": 0.0003890122470607847, + "loss": 1.3903, + "step": 455 + }, + { + "epoch": 0.13, + "learning_rate": 0.00038895083421189904, + "loss": 1.1638, + "step": 456 + }, + { + "epoch": 0.13, + "learning_rate": 0.00038888925509135365, + "loss": 1.3148, + "step": 457 + }, + { + "epoch": 0.13, + "learning_rate": 0.00038882750975333645, + "loss": 1.3197, + "step": 458 + }, + { + "epoch": 0.13, + "learning_rate": 0.00038876559825218164, + "loss": 1.3027, + "step": 459 + }, + { + "epoch": 0.13, + "learning_rate": 0.0003887035206423697, + "loss": 1.2378, + "step": 460 + }, + { + "epoch": 0.13, + "learning_rate": 0.0003886412769785273, + "loss": 1.2874, + "step": 461 + }, + { + "epoch": 0.13, + "learning_rate": 0.0003885788673154272, + "loss": 1.3247, + "step": 462 + }, + { + "epoch": 0.13, + "learning_rate": 0.0003885162917079881, + "loss": 1.4948, + "step": 463 + }, + { + "epoch": 0.13, + "learning_rate": 0.00038845355021127495, + "loss": 1.3641, + "step": 464 + }, + { + "epoch": 0.13, + "learning_rate": 0.0003883906428804986, + "loss": 1.2692, + "step": 465 + }, + { + "epoch": 0.14, + "learning_rate": 0.00038832756977101574, + "loss": 1.2695, + "step": 466 + }, + { + "epoch": 0.14, + "learning_rate": 0.00038826433093832913, + "loss": 1.3523, + "step": 467 + }, + { + "epoch": 0.14, + "learning_rate": 0.0003882009264380871, + "loss": 1.4101, + "step": 468 + }, + { + "epoch": 0.14, + "learning_rate": 0.0003881373563260841, + "loss": 1.1302, + "step": 469 + }, + { + "epoch": 0.14, + "learning_rate": 0.0003880736206582599, + "loss": 1.4, + "step": 470 + }, + { + "epoch": 0.14, + "learning_rate": 0.0003880097194907003, + "loss": 1.2677, + "step": 471 + }, + { + "epoch": 0.14, + "learning_rate": 0.00038794565287963653, + "loss": 1.2799, + "step": 472 + }, + { + "epoch": 0.14, + "learning_rate": 0.00038788142088144566, + "loss": 1.4191, + "step": 473 + }, + { + "epoch": 0.14, + "learning_rate": 0.00038781702355264995, + "loss": 1.1316, + "step": 474 + }, + { + "epoch": 0.14, + "learning_rate": 0.00038775246094991734, + "loss": 1.3546, + "step": 475 + }, + { + "epoch": 0.14, + "learning_rate": 0.0003876877331300613, + "loss": 1.2596, + "step": 476 + }, + { + "epoch": 0.14, + "learning_rate": 0.0003876228401500404, + "loss": 1.5291, + "step": 477 + }, + { + "epoch": 0.14, + "learning_rate": 0.0003875577820669589, + "loss": 1.4081, + "step": 478 + }, + { + "epoch": 0.14, + "learning_rate": 0.0003874925589380661, + "loss": 1.2045, + "step": 479 + }, + { + "epoch": 0.14, + "learning_rate": 0.0003874271708207565, + "loss": 1.3115, + "step": 480 + }, + { + "epoch": 0.14, + "learning_rate": 0.00038736161777257004, + "loss": 1.3006, + "step": 481 + }, + { + "epoch": 0.14, + "learning_rate": 0.00038729589985119156, + "loss": 1.2511, + "step": 482 + }, + { + "epoch": 0.14, + "learning_rate": 0.0003872300171144511, + "loss": 1.3153, + "step": 483 + }, + { + "epoch": 0.14, + "learning_rate": 0.00038716396962032364, + "loss": 1.5334, + "step": 484 + }, + { + "epoch": 0.14, + "learning_rate": 0.00038709775742692927, + "loss": 1.3983, + "step": 485 + }, + { + "epoch": 0.14, + "learning_rate": 0.0003870313805925329, + "loss": 1.2143, + "step": 486 + }, + { + "epoch": 0.14, + "learning_rate": 0.0003869648391755444, + "loss": 1.3641, + "step": 487 + }, + { + "epoch": 0.14, + "learning_rate": 0.00038689813323451836, + "loss": 1.4607, + "step": 488 + }, + { + "epoch": 0.14, + "learning_rate": 0.0003868312628281543, + "loss": 1.2097, + "step": 489 + }, + { + "epoch": 0.14, + "learning_rate": 0.0003867642280152963, + "loss": 1.2142, + "step": 490 + }, + { + "epoch": 0.14, + "learning_rate": 0.0003866970288549333, + "loss": 1.1171, + "step": 491 + }, + { + "epoch": 0.14, + "learning_rate": 0.0003866296654061986, + "loss": 1.3582, + "step": 492 + }, + { + "epoch": 0.14, + "learning_rate": 0.00038656213772837045, + "loss": 1.2705, + "step": 493 + }, + { + "epoch": 0.14, + "learning_rate": 0.00038649444588087115, + "loss": 1.0947, + "step": 494 + }, + { + "epoch": 0.14, + "learning_rate": 0.00038642658992326794, + "loss": 1.3349, + "step": 495 + }, + { + "epoch": 0.14, + "learning_rate": 0.00038635856991527204, + "loss": 1.3444, + "step": 496 + }, + { + "epoch": 0.14, + "learning_rate": 0.0003862903859167393, + "loss": 1.2091, + "step": 497 + }, + { + "epoch": 0.14, + "learning_rate": 0.00038622203798766984, + "loss": 1.3876, + "step": 498 + }, + { + "epoch": 0.14, + "learning_rate": 0.000386153526188208, + "loss": 1.3659, + "step": 499 + }, + { + "epoch": 0.14, + "learning_rate": 0.00038608485057864227, + "loss": 1.3617, + "step": 500 + }, + { + "epoch": 0.15, + "learning_rate": 0.0003860160112194054, + "loss": 1.3491, + "step": 501 + }, + { + "epoch": 0.15, + "learning_rate": 0.00038594700817107415, + "loss": 1.2504, + "step": 502 + }, + { + "epoch": 0.15, + "learning_rate": 0.0003858778414943694, + "loss": 1.297, + "step": 503 + }, + { + "epoch": 0.15, + "learning_rate": 0.00038580851125015583, + "loss": 1.4889, + "step": 504 + }, + { + "epoch": 0.15, + "learning_rate": 0.0003857390174994424, + "loss": 1.3215, + "step": 505 + }, + { + "epoch": 0.15, + "learning_rate": 0.00038566936030338153, + "loss": 1.336, + "step": 506 + }, + { + "epoch": 0.15, + "learning_rate": 0.00038559953972326985, + "loss": 1.4424, + "step": 507 + }, + { + "epoch": 0.15, + "learning_rate": 0.0003855295558205475, + "loss": 1.3839, + "step": 508 + }, + { + "epoch": 0.15, + "learning_rate": 0.00038545940865679845, + "loss": 1.4157, + "step": 509 + }, + { + "epoch": 0.15, + "learning_rate": 0.00038538909829375034, + "loss": 1.3802, + "step": 510 + }, + { + "epoch": 0.15, + "learning_rate": 0.0003853186247932744, + "loss": 1.4247, + "step": 511 + }, + { + "epoch": 0.15, + "learning_rate": 0.0003852479882173854, + "loss": 1.2501, + "step": 512 + }, + { + "epoch": 0.15, + "learning_rate": 0.00038517718862824166, + "loss": 1.3293, + "step": 513 + }, + { + "epoch": 0.15, + "learning_rate": 0.00038510622608814486, + "loss": 1.3841, + "step": 514 + }, + { + "epoch": 0.15, + "learning_rate": 0.00038503510065954026, + "loss": 1.3453, + "step": 515 + }, + { + "epoch": 0.15, + "learning_rate": 0.00038496381240501614, + "loss": 1.2539, + "step": 516 + }, + { + "epoch": 0.15, + "learning_rate": 0.0003848923613873044, + "loss": 1.2811, + "step": 517 + }, + { + "epoch": 0.15, + "learning_rate": 0.00038482074766927997, + "loss": 1.3435, + "step": 518 + }, + { + "epoch": 0.15, + "learning_rate": 0.0003847489713139609, + "loss": 1.2876, + "step": 519 + }, + { + "epoch": 0.15, + "learning_rate": 0.00038467703238450864, + "loss": 1.185, + "step": 520 + }, + { + "epoch": 0.15, + "learning_rate": 0.00038460493094422734, + "loss": 1.196, + "step": 521 + }, + { + "epoch": 0.15, + "learning_rate": 0.0003845326670565645, + "loss": 1.3964, + "step": 522 + }, + { + "epoch": 0.15, + "learning_rate": 0.0003844602407851103, + "loss": 1.4147, + "step": 523 + }, + { + "epoch": 0.15, + "learning_rate": 0.0003843876521935979, + "loss": 1.352, + "step": 524 + }, + { + "epoch": 0.15, + "learning_rate": 0.00038431490134590337, + "loss": 1.2607, + "step": 525 + }, + { + "epoch": 0.15, + "learning_rate": 0.0003842419883060454, + "loss": 1.2796, + "step": 526 + }, + { + "epoch": 0.15, + "learning_rate": 0.0003841689131381856, + "loss": 1.3396, + "step": 527 + }, + { + "epoch": 0.15, + "learning_rate": 0.0003840956759066282, + "loss": 1.4369, + "step": 528 + }, + { + "epoch": 0.15, + "learning_rate": 0.0003840222766758198, + "loss": 1.5503, + "step": 529 + }, + { + "epoch": 0.15, + "learning_rate": 0.00038394871551035003, + "loss": 1.3106, + "step": 530 + }, + { + "epoch": 0.15, + "learning_rate": 0.0003838749924749505, + "loss": 1.3839, + "step": 531 + }, + { + "epoch": 0.15, + "learning_rate": 0.00038380110763449563, + "loss": 1.3257, + "step": 532 + }, + { + "epoch": 0.15, + "learning_rate": 0.00038372706105400207, + "loss": 1.4503, + "step": 533 + }, + { + "epoch": 0.15, + "learning_rate": 0.00038365285279862876, + "loss": 1.2723, + "step": 534 + }, + { + "epoch": 0.16, + "learning_rate": 0.000383578482933677, + "loss": 1.4161, + "step": 535 + }, + { + "epoch": 0.16, + "learning_rate": 0.0003835039515245904, + "loss": 1.1735, + "step": 536 + }, + { + "epoch": 0.16, + "learning_rate": 0.0003834292586369545, + "loss": 1.2848, + "step": 537 + }, + { + "epoch": 0.16, + "learning_rate": 0.00038335440433649693, + "loss": 1.3721, + "step": 538 + }, + { + "epoch": 0.16, + "learning_rate": 0.00038327938868908763, + "loss": 1.3287, + "step": 539 + }, + { + "epoch": 0.16, + "learning_rate": 0.00038320421176073823, + "loss": 1.5261, + "step": 540 + }, + { + "epoch": 0.16, + "learning_rate": 0.0003831288736176025, + "loss": 1.3888, + "step": 541 + }, + { + "epoch": 0.16, + "learning_rate": 0.000383053374325976, + "loss": 1.3134, + "step": 542 + }, + { + "epoch": 0.16, + "learning_rate": 0.00038297771395229594, + "loss": 1.3813, + "step": 543 + }, + { + "epoch": 0.16, + "learning_rate": 0.00038290189256314156, + "loss": 1.2592, + "step": 544 + }, + { + "epoch": 0.16, + "learning_rate": 0.00038282591022523356, + "loss": 1.2625, + "step": 545 + }, + { + "epoch": 0.16, + "learning_rate": 0.0003827497670054344, + "loss": 1.2192, + "step": 546 + }, + { + "epoch": 0.16, + "learning_rate": 0.0003826734629707481, + "loss": 1.2154, + "step": 547 + }, + { + "epoch": 0.16, + "learning_rate": 0.0003825969981883201, + "loss": 1.3196, + "step": 548 + }, + { + "epoch": 0.16, + "learning_rate": 0.00038252037272543734, + "loss": 1.3649, + "step": 549 + }, + { + "epoch": 0.16, + "learning_rate": 0.0003824435866495282, + "loss": 1.2522, + "step": 550 + }, + { + "epoch": 0.16, + "learning_rate": 0.00038236664002816244, + "loss": 1.2861, + "step": 551 + }, + { + "epoch": 0.16, + "learning_rate": 0.00038228953292905094, + "loss": 1.3513, + "step": 552 + }, + { + "epoch": 0.16, + "learning_rate": 0.0003822122654200458, + "loss": 1.2638, + "step": 553 + }, + { + "epoch": 0.16, + "learning_rate": 0.0003821348375691405, + "loss": 1.2824, + "step": 554 + }, + { + "epoch": 0.16, + "learning_rate": 0.0003820572494444694, + "loss": 1.4368, + "step": 555 + }, + { + "epoch": 0.16, + "learning_rate": 0.00038197950111430794, + "loss": 1.3823, + "step": 556 + }, + { + "epoch": 0.16, + "learning_rate": 0.00038190159264707267, + "loss": 1.4946, + "step": 557 + }, + { + "epoch": 0.16, + "learning_rate": 0.00038182352411132085, + "loss": 1.3771, + "step": 558 + }, + { + "epoch": 0.16, + "learning_rate": 0.0003817452955757507, + "loss": 1.367, + "step": 559 + }, + { + "epoch": 0.16, + "learning_rate": 0.00038166690710920124, + "loss": 1.2109, + "step": 560 + }, + { + "epoch": 0.16, + "learning_rate": 0.00038158835878065225, + "loss": 1.1682, + "step": 561 + }, + { + "epoch": 0.16, + "learning_rate": 0.0003815096506592241, + "loss": 1.2641, + "step": 562 + }, + { + "epoch": 0.16, + "learning_rate": 0.0003814307828141779, + "loss": 1.4155, + "step": 563 + }, + { + "epoch": 0.16, + "learning_rate": 0.00038135175531491515, + "loss": 1.4218, + "step": 564 + }, + { + "epoch": 0.16, + "learning_rate": 0.00038127256823097794, + "loss": 1.198, + "step": 565 + }, + { + "epoch": 0.16, + "learning_rate": 0.00038119322163204886, + "loss": 1.3554, + "step": 566 + }, + { + "epoch": 0.16, + "learning_rate": 0.00038111371558795064, + "loss": 1.1691, + "step": 567 + }, + { + "epoch": 0.16, + "learning_rate": 0.0003810340501686466, + "loss": 1.326, + "step": 568 + }, + { + "epoch": 0.16, + "learning_rate": 0.0003809542254442401, + "loss": 1.4071, + "step": 569 + }, + { + "epoch": 0.17, + "learning_rate": 0.0003808742414849748, + "loss": 1.3133, + "step": 570 + }, + { + "epoch": 0.17, + "learning_rate": 0.0003807940983612344, + "loss": 1.3361, + "step": 571 + }, + { + "epoch": 0.17, + "learning_rate": 0.0003807137961435427, + "loss": 1.2362, + "step": 572 + }, + { + "epoch": 0.17, + "learning_rate": 0.00038063333490256354, + "loss": 1.431, + "step": 573 + }, + { + "epoch": 0.17, + "learning_rate": 0.00038055271470910053, + "loss": 1.2436, + "step": 574 + }, + { + "epoch": 0.17, + "learning_rate": 0.00038047193563409744, + "loss": 1.2789, + "step": 575 + }, + { + "epoch": 0.17, + "learning_rate": 0.00038039099774863754, + "loss": 1.2921, + "step": 576 + }, + { + "epoch": 0.17, + "learning_rate": 0.00038030990112394413, + "loss": 1.2558, + "step": 577 + }, + { + "epoch": 0.17, + "learning_rate": 0.0003802286458313799, + "loss": 1.3656, + "step": 578 + }, + { + "epoch": 0.17, + "learning_rate": 0.00038014723194244746, + "loss": 1.2975, + "step": 579 + }, + { + "epoch": 0.17, + "learning_rate": 0.0003800656595287888, + "loss": 1.3769, + "step": 580 + }, + { + "epoch": 0.17, + "learning_rate": 0.0003799839286621855, + "loss": 1.4537, + "step": 581 + }, + { + "epoch": 0.17, + "learning_rate": 0.0003799020394145584, + "loss": 1.2094, + "step": 582 + }, + { + "epoch": 0.17, + "learning_rate": 0.0003798199918579679, + "loss": 1.3608, + "step": 583 + }, + { + "epoch": 0.17, + "learning_rate": 0.0003797377860646138, + "loss": 1.2369, + "step": 584 + }, + { + "epoch": 0.17, + "learning_rate": 0.00037965542210683474, + "loss": 1.3911, + "step": 585 + }, + { + "epoch": 0.17, + "learning_rate": 0.000379572900057109, + "loss": 1.292, + "step": 586 + }, + { + "epoch": 0.17, + "learning_rate": 0.0003794902199880536, + "loss": 1.3406, + "step": 587 + }, + { + "epoch": 0.17, + "learning_rate": 0.0003794073819724249, + "loss": 1.2936, + "step": 588 + }, + { + "epoch": 0.17, + "learning_rate": 0.0003793243860831181, + "loss": 1.529, + "step": 589 + }, + { + "epoch": 0.17, + "learning_rate": 0.0003792412323931673, + "loss": 1.2615, + "step": 590 + }, + { + "epoch": 0.17, + "learning_rate": 0.00037915792097574557, + "loss": 1.2682, + "step": 591 + }, + { + "epoch": 0.17, + "learning_rate": 0.0003790744519041647, + "loss": 1.4804, + "step": 592 + }, + { + "epoch": 0.17, + "learning_rate": 0.00037899082525187525, + "loss": 1.2158, + "step": 593 + }, + { + "epoch": 0.17, + "learning_rate": 0.0003789070410924664, + "loss": 1.3411, + "step": 594 + }, + { + "epoch": 0.17, + "learning_rate": 0.00037882309949966597, + "loss": 1.2307, + "step": 595 + }, + { + "epoch": 0.17, + "learning_rate": 0.00037873900054734034, + "loss": 1.2769, + "step": 596 + }, + { + "epoch": 0.17, + "learning_rate": 0.00037865474430949427, + "loss": 1.4223, + "step": 597 + }, + { + "epoch": 0.17, + "learning_rate": 0.00037857033086027104, + "loss": 1.2942, + "step": 598 + }, + { + "epoch": 0.17, + "learning_rate": 0.0003784857602739522, + "loss": 1.2689, + "step": 599 + }, + { + "epoch": 0.17, + "learning_rate": 0.0003784010326249576, + "loss": 1.3241, + "step": 600 + }, + { + "epoch": 0.17, + "learning_rate": 0.00037831614798784525, + "loss": 1.222, + "step": 601 + }, + { + "epoch": 0.17, + "learning_rate": 0.0003782311064373114, + "loss": 1.3674, + "step": 602 + }, + { + "epoch": 0.17, + "learning_rate": 0.0003781459080481903, + "loss": 1.4221, + "step": 603 + }, + { + "epoch": 0.18, + "learning_rate": 0.0003780605528954543, + "loss": 1.4172, + "step": 604 + }, + { + "epoch": 0.18, + "learning_rate": 0.0003779750410542136, + "loss": 1.3146, + "step": 605 + }, + { + "epoch": 0.18, + "learning_rate": 0.0003778893725997163, + "loss": 1.2114, + "step": 606 + }, + { + "epoch": 0.18, + "learning_rate": 0.00037780354760734837, + "loss": 1.2844, + "step": 607 + }, + { + "epoch": 0.18, + "learning_rate": 0.0003777175661526336, + "loss": 1.3779, + "step": 608 + }, + { + "epoch": 0.18, + "learning_rate": 0.0003776314283112331, + "loss": 1.0988, + "step": 609 + }, + { + "epoch": 0.18, + "learning_rate": 0.0003775451341589461, + "loss": 1.3803, + "step": 610 + }, + { + "epoch": 0.18, + "learning_rate": 0.00037745868377170907, + "loss": 1.1517, + "step": 611 + }, + { + "epoch": 0.18, + "learning_rate": 0.000377372077225596, + "loss": 1.2965, + "step": 612 + }, + { + "epoch": 0.18, + "learning_rate": 0.00037728531459681826, + "loss": 1.4926, + "step": 613 + }, + { + "epoch": 0.18, + "learning_rate": 0.00037719839596172476, + "loss": 1.4066, + "step": 614 + }, + { + "epoch": 0.18, + "learning_rate": 0.00037711132139680155, + "loss": 1.3498, + "step": 615 + }, + { + "epoch": 0.18, + "learning_rate": 0.00037702409097867186, + "loss": 1.4738, + "step": 616 + }, + { + "epoch": 0.18, + "learning_rate": 0.00037693670478409607, + "loss": 1.3854, + "step": 617 + }, + { + "epoch": 0.18, + "learning_rate": 0.00037684916288997176, + "loss": 1.2015, + "step": 618 + }, + { + "epoch": 0.18, + "learning_rate": 0.00037676146537333344, + "loss": 1.3336, + "step": 619 + }, + { + "epoch": 0.18, + "learning_rate": 0.00037667361231135256, + "loss": 1.2285, + "step": 620 + }, + { + "epoch": 0.18, + "learning_rate": 0.00037658560378133745, + "loss": 1.3738, + "step": 621 + }, + { + "epoch": 0.18, + "learning_rate": 0.0003764974398607333, + "loss": 1.2951, + "step": 622 + }, + { + "epoch": 0.18, + "learning_rate": 0.00037640912062712186, + "loss": 1.3998, + "step": 623 + }, + { + "epoch": 0.18, + "learning_rate": 0.00037632064615822185, + "loss": 1.3421, + "step": 624 + }, + { + "epoch": 0.18, + "learning_rate": 0.0003762320165318883, + "loss": 1.2505, + "step": 625 + }, + { + "epoch": 0.18, + "learning_rate": 0.000376143231826113, + "loss": 1.3863, + "step": 626 + }, + { + "epoch": 0.18, + "learning_rate": 0.00037605429211902397, + "loss": 1.2849, + "step": 627 + }, + { + "epoch": 0.18, + "learning_rate": 0.00037596519748888594, + "loss": 1.221, + "step": 628 + }, + { + "epoch": 0.18, + "learning_rate": 0.0003758759480140997, + "loss": 1.195, + "step": 629 + }, + { + "epoch": 0.18, + "learning_rate": 0.0003757865437732023, + "loss": 1.4152, + "step": 630 + }, + { + "epoch": 0.18, + "learning_rate": 0.00037569698484486724, + "loss": 1.3788, + "step": 631 + }, + { + "epoch": 0.18, + "learning_rate": 0.00037560727130790385, + "loss": 1.2949, + "step": 632 + }, + { + "epoch": 0.18, + "learning_rate": 0.00037551740324125773, + "loss": 1.3709, + "step": 633 + }, + { + "epoch": 0.18, + "learning_rate": 0.00037542738072401027, + "loss": 1.2895, + "step": 634 + }, + { + "epoch": 0.18, + "learning_rate": 0.0003753372038353789, + "loss": 1.3311, + "step": 635 + }, + { + "epoch": 0.18, + "learning_rate": 0.00037524687265471697, + "loss": 1.2309, + "step": 636 + }, + { + "epoch": 0.18, + "learning_rate": 0.0003751563872615133, + "loss": 1.3925, + "step": 637 + }, + { + "epoch": 0.18, + "learning_rate": 0.00037506574773539276, + "loss": 1.3566, + "step": 638 + }, + { + "epoch": 0.19, + "learning_rate": 0.0003749749541561156, + "loss": 1.3243, + "step": 639 + }, + { + "epoch": 0.19, + "learning_rate": 0.00037488400660357774, + "loss": 1.3834, + "step": 640 + }, + { + "epoch": 0.19, + "learning_rate": 0.00037479290515781067, + "loss": 1.2708, + "step": 641 + }, + { + "epoch": 0.19, + "learning_rate": 0.00037470164989898116, + "loss": 1.3351, + "step": 642 + }, + { + "epoch": 0.19, + "learning_rate": 0.00037461024090739136, + "loss": 1.3267, + "step": 643 + }, + { + "epoch": 0.19, + "learning_rate": 0.00037451867826347876, + "loss": 1.3807, + "step": 644 + }, + { + "epoch": 0.19, + "learning_rate": 0.00037442696204781605, + "loss": 1.1451, + "step": 645 + }, + { + "epoch": 0.19, + "learning_rate": 0.000374335092341111, + "loss": 1.2059, + "step": 646 + }, + { + "epoch": 0.19, + "learning_rate": 0.0003742430692242065, + "loss": 1.1875, + "step": 647 + }, + { + "epoch": 0.19, + "learning_rate": 0.0003741508927780804, + "loss": 1.4249, + "step": 648 + }, + { + "epoch": 0.19, + "learning_rate": 0.0003740585630838455, + "loss": 1.4409, + "step": 649 + }, + { + "epoch": 0.19, + "learning_rate": 0.0003739660802227495, + "loss": 1.4722, + "step": 650 + }, + { + "epoch": 0.19, + "learning_rate": 0.00037387344427617476, + "loss": 1.2156, + "step": 651 + }, + { + "epoch": 0.19, + "learning_rate": 0.00037378065532563847, + "loss": 1.3374, + "step": 652 + }, + { + "epoch": 0.19, + "learning_rate": 0.00037368771345279244, + "loss": 1.24, + "step": 653 + }, + { + "epoch": 0.19, + "learning_rate": 0.00037359461873942297, + "loss": 1.3434, + "step": 654 + }, + { + "epoch": 0.19, + "learning_rate": 0.0003735013712674509, + "loss": 1.3179, + "step": 655 + }, + { + "epoch": 0.19, + "learning_rate": 0.0003734079711189316, + "loss": 1.3183, + "step": 656 + }, + { + "epoch": 0.19, + "learning_rate": 0.0003733144183760546, + "loss": 1.2632, + "step": 657 + }, + { + "epoch": 0.19, + "learning_rate": 0.0003732207131211438, + "loss": 1.4223, + "step": 658 + }, + { + "epoch": 0.19, + "learning_rate": 0.0003731268554366573, + "loss": 1.3397, + "step": 659 + }, + { + "epoch": 0.19, + "learning_rate": 0.00037303284540518745, + "loss": 1.2703, + "step": 660 + }, + { + "epoch": 0.19, + "learning_rate": 0.00037293868310946045, + "loss": 1.5002, + "step": 661 + }, + { + "epoch": 0.19, + "learning_rate": 0.00037284436863233657, + "loss": 1.3052, + "step": 662 + }, + { + "epoch": 0.19, + "learning_rate": 0.0003727499020568101, + "loss": 1.3705, + "step": 663 + }, + { + "epoch": 0.19, + "learning_rate": 0.00037265528346600913, + "loss": 1.4041, + "step": 664 + }, + { + "epoch": 0.19, + "learning_rate": 0.0003725605129431953, + "loss": 1.1651, + "step": 665 + }, + { + "epoch": 0.19, + "learning_rate": 0.0003724655905717643, + "loss": 1.3479, + "step": 666 + }, + { + "epoch": 0.19, + "learning_rate": 0.0003723705164352451, + "loss": 1.2762, + "step": 667 + }, + { + "epoch": 0.19, + "learning_rate": 0.00037227529061730055, + "loss": 1.2119, + "step": 668 + }, + { + "epoch": 0.19, + "learning_rate": 0.00037217991320172674, + "loss": 1.3735, + "step": 669 + }, + { + "epoch": 0.19, + "learning_rate": 0.0003720843842724532, + "loss": 1.288, + "step": 670 + }, + { + "epoch": 0.19, + "learning_rate": 0.0003719887039135429, + "loss": 1.3138, + "step": 671 + }, + { + "epoch": 0.19, + "learning_rate": 0.000371892872209192, + "loss": 1.3225, + "step": 672 + }, + { + "epoch": 0.2, + "learning_rate": 0.0003717968892437297, + "loss": 1.2151, + "step": 673 + }, + { + "epoch": 0.2, + "learning_rate": 0.00037170075510161853, + "loss": 1.3943, + "step": 674 + }, + { + "epoch": 0.2, + "learning_rate": 0.0003716044698674539, + "loss": 1.3298, + "step": 675 + }, + { + "epoch": 0.2, + "learning_rate": 0.0003715080336259643, + "loss": 1.2433, + "step": 676 + }, + { + "epoch": 0.2, + "learning_rate": 0.000371411446462011, + "loss": 1.2967, + "step": 677 + }, + { + "epoch": 0.2, + "learning_rate": 0.0003713147084605881, + "loss": 1.3173, + "step": 678 + }, + { + "epoch": 0.2, + "learning_rate": 0.0003712178197068224, + "loss": 1.3028, + "step": 679 + }, + { + "epoch": 0.2, + "learning_rate": 0.00037112078028597343, + "loss": 1.2044, + "step": 680 + }, + { + "epoch": 0.2, + "learning_rate": 0.00037102359028343335, + "loss": 1.1363, + "step": 681 + }, + { + "epoch": 0.2, + "learning_rate": 0.0003709262497847267, + "loss": 1.4618, + "step": 682 + }, + { + "epoch": 0.2, + "learning_rate": 0.00037082875887551047, + "loss": 1.3237, + "step": 683 + }, + { + "epoch": 0.2, + "learning_rate": 0.0003707311176415741, + "loss": 1.2146, + "step": 684 + }, + { + "epoch": 0.2, + "learning_rate": 0.0003706333261688392, + "loss": 1.2813, + "step": 685 + }, + { + "epoch": 0.2, + "learning_rate": 0.0003705353845433597, + "loss": 1.1922, + "step": 686 + }, + { + "epoch": 0.2, + "learning_rate": 0.0003704372928513215, + "loss": 1.2796, + "step": 687 + }, + { + "epoch": 0.2, + "learning_rate": 0.0003703390511790428, + "loss": 1.277, + "step": 688 + }, + { + "epoch": 0.2, + "learning_rate": 0.0003702406596129735, + "loss": 1.4421, + "step": 689 + }, + { + "epoch": 0.2, + "learning_rate": 0.0003701421182396956, + "loss": 1.4526, + "step": 690 + }, + { + "epoch": 0.2, + "learning_rate": 0.0003700434271459229, + "loss": 1.1334, + "step": 691 + }, + { + "epoch": 0.2, + "learning_rate": 0.00036994458641850076, + "loss": 1.3087, + "step": 692 + }, + { + "epoch": 0.2, + "learning_rate": 0.0003698455961444065, + "loss": 1.2478, + "step": 693 + }, + { + "epoch": 0.2, + "learning_rate": 0.0003697464564107489, + "loss": 1.1383, + "step": 694 + }, + { + "epoch": 0.2, + "learning_rate": 0.00036964716730476826, + "loss": 1.4408, + "step": 695 + }, + { + "epoch": 0.2, + "learning_rate": 0.00036954772891383626, + "loss": 1.3716, + "step": 696 + }, + { + "epoch": 0.2, + "learning_rate": 0.0003694481413254561, + "loss": 1.2962, + "step": 697 + }, + { + "epoch": 0.2, + "learning_rate": 0.00036934840462726206, + "loss": 1.3133, + "step": 698 + }, + { + "epoch": 0.2, + "learning_rate": 0.0003692485189070199, + "loss": 1.1496, + "step": 699 + }, + { + "epoch": 0.2, + "learning_rate": 0.00036914848425262625, + "loss": 1.3681, + "step": 700 + }, + { + "epoch": 0.2, + "learning_rate": 0.000369048300752109, + "loss": 1.4004, + "step": 701 + }, + { + "epoch": 0.2, + "learning_rate": 0.000368947968493627, + "loss": 1.2389, + "step": 702 + }, + { + "epoch": 0.2, + "learning_rate": 0.00036884748756546977, + "loss": 1.3265, + "step": 703 + }, + { + "epoch": 0.2, + "learning_rate": 0.00036874685805605794, + "loss": 1.2333, + "step": 704 + }, + { + "epoch": 0.2, + "learning_rate": 0.00036864608005394273, + "loss": 1.2833, + "step": 705 + }, + { + "epoch": 0.2, + "learning_rate": 0.0003685451536478061, + "loss": 1.2394, + "step": 706 + }, + { + "epoch": 0.2, + "learning_rate": 0.0003684440789264606, + "loss": 1.2999, + "step": 707 + }, + { + "epoch": 0.21, + "learning_rate": 0.00036834285597884923, + "loss": 1.289, + "step": 708 + }, + { + "epoch": 0.21, + "learning_rate": 0.0003682414848940455, + "loss": 1.2782, + "step": 709 + }, + { + "epoch": 0.21, + "learning_rate": 0.00036813996576125316, + "loss": 1.1605, + "step": 710 + }, + { + "epoch": 0.21, + "learning_rate": 0.00036803829866980645, + "loss": 1.285, + "step": 711 + }, + { + "epoch": 0.21, + "learning_rate": 0.0003679364837091696, + "loss": 1.3159, + "step": 712 + }, + { + "epoch": 0.21, + "learning_rate": 0.00036783452096893703, + "loss": 1.5144, + "step": 713 + }, + { + "epoch": 0.21, + "learning_rate": 0.00036773241053883324, + "loss": 1.3787, + "step": 714 + }, + { + "epoch": 0.21, + "learning_rate": 0.00036763015250871266, + "loss": 1.2825, + "step": 715 + }, + { + "epoch": 0.21, + "learning_rate": 0.0003675277469685597, + "loss": 1.3308, + "step": 716 + }, + { + "epoch": 0.21, + "learning_rate": 0.0003674251940084883, + "loss": 1.3313, + "step": 717 + }, + { + "epoch": 0.21, + "learning_rate": 0.00036732249371874243, + "loss": 1.2538, + "step": 718 + }, + { + "epoch": 0.21, + "learning_rate": 0.0003672196461896956, + "loss": 1.2696, + "step": 719 + }, + { + "epoch": 0.21, + "learning_rate": 0.00036711665151185083, + "loss": 1.2787, + "step": 720 + }, + { + "epoch": 0.21, + "learning_rate": 0.0003670135097758407, + "loss": 1.3181, + "step": 721 + }, + { + "epoch": 0.21, + "learning_rate": 0.0003669102210724271, + "loss": 1.406, + "step": 722 + }, + { + "epoch": 0.21, + "learning_rate": 0.0003668067854925014, + "loss": 1.3445, + "step": 723 + }, + { + "epoch": 0.21, + "learning_rate": 0.0003667032031270841, + "loss": 1.3145, + "step": 724 + }, + { + "epoch": 0.21, + "learning_rate": 0.00036659947406732484, + "loss": 1.2812, + "step": 725 + }, + { + "epoch": 0.21, + "learning_rate": 0.00036649559840450254, + "loss": 1.3694, + "step": 726 + }, + { + "epoch": 0.21, + "learning_rate": 0.0003663915762300249, + "loss": 1.3665, + "step": 727 + }, + { + "epoch": 0.21, + "learning_rate": 0.00036628740763542864, + "loss": 1.3879, + "step": 728 + }, + { + "epoch": 0.21, + "learning_rate": 0.0003661830927123793, + "loss": 1.261, + "step": 729 + }, + { + "epoch": 0.21, + "learning_rate": 0.0003660786315526713, + "loss": 1.2177, + "step": 730 + }, + { + "epoch": 0.21, + "learning_rate": 0.00036597402424822764, + "loss": 1.1199, + "step": 731 + }, + { + "epoch": 0.21, + "learning_rate": 0.00036586927089109987, + "loss": 1.2116, + "step": 732 + }, + { + "epoch": 0.21, + "learning_rate": 0.0003657643715734682, + "loss": 1.38, + "step": 733 + }, + { + "epoch": 0.21, + "learning_rate": 0.00036565932638764115, + "loss": 1.3854, + "step": 734 + }, + { + "epoch": 0.21, + "learning_rate": 0.00036555413542605576, + "loss": 1.2881, + "step": 735 + }, + { + "epoch": 0.21, + "learning_rate": 0.0003654487987812771, + "loss": 1.3507, + "step": 736 + }, + { + "epoch": 0.21, + "learning_rate": 0.0003653433165459987, + "loss": 1.3011, + "step": 737 + }, + { + "epoch": 0.21, + "learning_rate": 0.0003652376888130421, + "loss": 1.1903, + "step": 738 + }, + { + "epoch": 0.21, + "learning_rate": 0.00036513191567535687, + "loss": 1.5096, + "step": 739 + }, + { + "epoch": 0.21, + "learning_rate": 0.0003650259972260204, + "loss": 1.3719, + "step": 740 + }, + { + "epoch": 0.21, + "learning_rate": 0.0003649199335582382, + "loss": 1.3139, + "step": 741 + }, + { + "epoch": 0.22, + "learning_rate": 0.00036481372476534346, + "loss": 1.3557, + "step": 742 + }, + { + "epoch": 0.22, + "learning_rate": 0.000364707370940797, + "loss": 1.2022, + "step": 743 + }, + { + "epoch": 0.22, + "learning_rate": 0.0003646008721781874, + "loss": 1.415, + "step": 744 + }, + { + "epoch": 0.22, + "learning_rate": 0.00036449422857123067, + "loss": 1.4802, + "step": 745 + }, + { + "epoch": 0.22, + "learning_rate": 0.0003643874402137703, + "loss": 1.4193, + "step": 746 + }, + { + "epoch": 0.22, + "learning_rate": 0.0003642805071997772, + "loss": 1.2783, + "step": 747 + }, + { + "epoch": 0.22, + "learning_rate": 0.00036417342962334956, + "loss": 1.4414, + "step": 748 + }, + { + "epoch": 0.22, + "learning_rate": 0.00036406620757871276, + "loss": 1.2048, + "step": 749 + }, + { + "epoch": 0.22, + "learning_rate": 0.00036395884116021933, + "loss": 1.4374, + "step": 750 + }, + { + "epoch": 0.22, + "learning_rate": 0.0003638513304623488, + "loss": 1.2123, + "step": 751 + }, + { + "epoch": 0.22, + "learning_rate": 0.00036374367557970777, + "loss": 1.2275, + "step": 752 + }, + { + "epoch": 0.22, + "learning_rate": 0.0003636358766070296, + "loss": 1.2117, + "step": 753 + }, + { + "epoch": 0.22, + "learning_rate": 0.0003635279336391745, + "loss": 1.1179, + "step": 754 + }, + { + "epoch": 0.22, + "learning_rate": 0.00036341984677112937, + "loss": 1.3382, + "step": 755 + }, + { + "epoch": 0.22, + "learning_rate": 0.0003633116160980077, + "loss": 1.3122, + "step": 756 + }, + { + "epoch": 0.22, + "learning_rate": 0.0003632032417150496, + "loss": 1.2746, + "step": 757 + }, + { + "epoch": 0.22, + "learning_rate": 0.00036309472371762175, + "loss": 1.1844, + "step": 758 + }, + { + "epoch": 0.22, + "learning_rate": 0.0003629860622012169, + "loss": 1.4231, + "step": 759 + }, + { + "epoch": 0.22, + "learning_rate": 0.0003628772572614544, + "loss": 1.4839, + "step": 760 + }, + { + "epoch": 0.22, + "learning_rate": 0.0003627683089940796, + "loss": 1.4891, + "step": 761 + }, + { + "epoch": 0.22, + "learning_rate": 0.000362659217494964, + "loss": 1.3534, + "step": 762 + }, + { + "epoch": 0.22, + "learning_rate": 0.00036254998286010536, + "loss": 1.3463, + "step": 763 + }, + { + "epoch": 0.22, + "learning_rate": 0.000362440605185627, + "loss": 1.3156, + "step": 764 + }, + { + "epoch": 0.22, + "learning_rate": 0.0003623310845677785, + "loss": 1.3955, + "step": 765 + }, + { + "epoch": 0.22, + "learning_rate": 0.00036222142110293505, + "loss": 1.3864, + "step": 766 + }, + { + "epoch": 0.22, + "learning_rate": 0.00036211161488759747, + "loss": 1.3406, + "step": 767 + }, + { + "epoch": 0.22, + "learning_rate": 0.0003620016660183923, + "loss": 1.3364, + "step": 768 + }, + { + "epoch": 0.22, + "learning_rate": 0.00036189157459207166, + "loss": 1.1346, + "step": 769 + }, + { + "epoch": 0.22, + "learning_rate": 0.00036178134070551305, + "loss": 1.3928, + "step": 770 + }, + { + "epoch": 0.22, + "learning_rate": 0.0003616709644557193, + "loss": 1.2873, + "step": 771 + }, + { + "epoch": 0.22, + "learning_rate": 0.00036156044593981847, + "loss": 1.289, + "step": 772 + }, + { + "epoch": 0.22, + "learning_rate": 0.000361449785255064, + "loss": 1.3108, + "step": 773 + }, + { + "epoch": 0.22, + "learning_rate": 0.00036133898249883425, + "loss": 1.4273, + "step": 774 + }, + { + "epoch": 0.22, + "learning_rate": 0.0003612280377686327, + "loss": 1.1892, + "step": 775 + }, + { + "epoch": 0.22, + "learning_rate": 0.00036111695116208765, + "loss": 1.3329, + "step": 776 + }, + { + "epoch": 0.23, + "learning_rate": 0.00036100572277695256, + "loss": 1.4551, + "step": 777 + }, + { + "epoch": 0.23, + "learning_rate": 0.00036089435271110517, + "loss": 1.4236, + "step": 778 + }, + { + "epoch": 0.23, + "learning_rate": 0.00036078284106254825, + "loss": 1.283, + "step": 779 + }, + { + "epoch": 0.23, + "learning_rate": 0.0003606711879294091, + "loss": 1.268, + "step": 780 + }, + { + "epoch": 0.23, + "learning_rate": 0.0003605593934099393, + "loss": 1.1755, + "step": 781 + }, + { + "epoch": 0.23, + "learning_rate": 0.0003604474576025153, + "loss": 1.3168, + "step": 782 + }, + { + "epoch": 0.23, + "learning_rate": 0.00036033538060563743, + "loss": 1.3726, + "step": 783 + }, + { + "epoch": 0.23, + "learning_rate": 0.00036022316251793044, + "loss": 1.1281, + "step": 784 + }, + { + "epoch": 0.23, + "learning_rate": 0.00036011080343814324, + "loss": 1.3585, + "step": 785 + }, + { + "epoch": 0.23, + "learning_rate": 0.0003599983034651489, + "loss": 1.3135, + "step": 786 + }, + { + "epoch": 0.23, + "learning_rate": 0.0003598856626979442, + "loss": 1.37, + "step": 787 + }, + { + "epoch": 0.23, + "learning_rate": 0.00035977288123565016, + "loss": 1.1796, + "step": 788 + }, + { + "epoch": 0.23, + "learning_rate": 0.0003596599591775113, + "loss": 1.1075, + "step": 789 + }, + { + "epoch": 0.23, + "learning_rate": 0.00035954689662289613, + "loss": 1.335, + "step": 790 + }, + { + "epoch": 0.23, + "learning_rate": 0.0003594336936712966, + "loss": 1.2655, + "step": 791 + }, + { + "epoch": 0.23, + "learning_rate": 0.0003593203504223282, + "loss": 1.385, + "step": 792 + }, + { + "epoch": 0.23, + "learning_rate": 0.0003592068669757301, + "loss": 1.101, + "step": 793 + }, + { + "epoch": 0.23, + "learning_rate": 0.00035909324343136453, + "loss": 1.326, + "step": 794 + }, + { + "epoch": 0.23, + "learning_rate": 0.0003589794798892172, + "loss": 1.3805, + "step": 795 + }, + { + "epoch": 0.23, + "learning_rate": 0.00035886557644939705, + "loss": 1.3828, + "step": 796 + }, + { + "epoch": 0.23, + "learning_rate": 0.000358751533212136, + "loss": 1.1955, + "step": 797 + }, + { + "epoch": 0.23, + "learning_rate": 0.00035863735027778895, + "loss": 1.29, + "step": 798 + }, + { + "epoch": 0.23, + "learning_rate": 0.00035852302774683393, + "loss": 1.316, + "step": 799 + }, + { + "epoch": 0.23, + "learning_rate": 0.00035840856571987167, + "loss": 1.3937, + "step": 800 + }, + { + "epoch": 0.23, + "learning_rate": 0.00035829396429762567, + "loss": 1.3658, + "step": 801 + }, + { + "epoch": 0.23, + "learning_rate": 0.0003581792235809421, + "loss": 1.3005, + "step": 802 + }, + { + "epoch": 0.23, + "learning_rate": 0.0003580643436707898, + "loss": 1.235, + "step": 803 + }, + { + "epoch": 0.23, + "learning_rate": 0.0003579493246682598, + "loss": 1.2511, + "step": 804 + }, + { + "epoch": 0.23, + "learning_rate": 0.00035783416667456593, + "loss": 1.2629, + "step": 805 + }, + { + "epoch": 0.23, + "learning_rate": 0.000357718869791044, + "loss": 1.2455, + "step": 806 + }, + { + "epoch": 0.23, + "learning_rate": 0.00035760343411915226, + "loss": 1.3293, + "step": 807 + }, + { + "epoch": 0.23, + "learning_rate": 0.000357487859760471, + "loss": 1.4308, + "step": 808 + }, + { + "epoch": 0.23, + "learning_rate": 0.0003573721468167024, + "loss": 1.2123, + "step": 809 + }, + { + "epoch": 0.23, + "learning_rate": 0.00035725629538967097, + "loss": 1.4557, + "step": 810 + }, + { + "epoch": 0.24, + "learning_rate": 0.0003571403055813227, + "loss": 1.2088, + "step": 811 + }, + { + "epoch": 0.24, + "learning_rate": 0.0003570241774937256, + "loss": 1.3433, + "step": 812 + }, + { + "epoch": 0.24, + "learning_rate": 0.0003569079112290692, + "loss": 1.3293, + "step": 813 + }, + { + "epoch": 0.24, + "learning_rate": 0.00035679150688966476, + "loss": 1.3839, + "step": 814 + }, + { + "epoch": 0.24, + "learning_rate": 0.00035667496457794483, + "loss": 1.4165, + "step": 815 + }, + { + "epoch": 0.24, + "learning_rate": 0.00035655828439646366, + "loss": 1.2507, + "step": 816 + }, + { + "epoch": 0.24, + "learning_rate": 0.0003564414664478966, + "loss": 1.3885, + "step": 817 + }, + { + "epoch": 0.24, + "learning_rate": 0.0003563245108350404, + "loss": 1.1639, + "step": 818 + }, + { + "epoch": 0.24, + "learning_rate": 0.0003562074176608127, + "loss": 1.3476, + "step": 819 + }, + { + "epoch": 0.24, + "learning_rate": 0.00035609018702825257, + "loss": 1.3051, + "step": 820 + }, + { + "epoch": 0.24, + "learning_rate": 0.00035597281904051957, + "loss": 1.2524, + "step": 821 + }, + { + "epoch": 0.24, + "learning_rate": 0.0003558553138008946, + "loss": 1.1534, + "step": 822 + }, + { + "epoch": 0.24, + "learning_rate": 0.00035573767141277885, + "loss": 1.2203, + "step": 823 + }, + { + "epoch": 0.24, + "learning_rate": 0.00035561989197969475, + "loss": 1.2969, + "step": 824 + }, + { + "epoch": 0.24, + "learning_rate": 0.00035550197560528486, + "loss": 1.4392, + "step": 825 + }, + { + "epoch": 0.24, + "learning_rate": 0.0003553839223933126, + "loss": 1.3154, + "step": 826 + }, + { + "epoch": 0.24, + "learning_rate": 0.00035526573244766134, + "loss": 1.2765, + "step": 827 + }, + { + "epoch": 0.24, + "learning_rate": 0.00035514740587233525, + "loss": 1.18, + "step": 828 + }, + { + "epoch": 0.24, + "learning_rate": 0.0003550289427714586, + "loss": 1.2128, + "step": 829 + }, + { + "epoch": 0.24, + "learning_rate": 0.0003549103432492755, + "loss": 1.2001, + "step": 830 + }, + { + "epoch": 0.24, + "learning_rate": 0.00035479160741015063, + "loss": 1.2746, + "step": 831 + }, + { + "epoch": 0.24, + "learning_rate": 0.00035467273535856814, + "loss": 1.2801, + "step": 832 + }, + { + "epoch": 0.24, + "learning_rate": 0.0003545537271991323, + "loss": 1.347, + "step": 833 + }, + { + "epoch": 0.24, + "learning_rate": 0.0003544345830365671, + "loss": 1.3524, + "step": 834 + }, + { + "epoch": 0.24, + "learning_rate": 0.0003543153029757162, + "loss": 1.23, + "step": 835 + }, + { + "epoch": 0.24, + "learning_rate": 0.00035419588712154286, + "loss": 1.3264, + "step": 836 + }, + { + "epoch": 0.24, + "learning_rate": 0.0003540763355791298, + "loss": 1.4038, + "step": 837 + }, + { + "epoch": 0.24, + "learning_rate": 0.0003539566484536792, + "loss": 1.3156, + "step": 838 + }, + { + "epoch": 0.24, + "learning_rate": 0.0003538368258505125, + "loss": 1.1655, + "step": 839 + }, + { + "epoch": 0.24, + "learning_rate": 0.0003537168678750704, + "loss": 1.2485, + "step": 840 + }, + { + "epoch": 0.24, + "learning_rate": 0.00035359677463291263, + "loss": 1.3553, + "step": 841 + }, + { + "epoch": 0.24, + "learning_rate": 0.000353476546229718, + "loss": 1.3247, + "step": 842 + }, + { + "epoch": 0.24, + "learning_rate": 0.0003533561827712844, + "loss": 1.2529, + "step": 843 + }, + { + "epoch": 0.24, + "learning_rate": 0.0003532356843635284, + "loss": 1.3355, + "step": 844 + }, + { + "epoch": 0.24, + "learning_rate": 0.00035311505111248527, + "loss": 1.2757, + "step": 845 + }, + { + "epoch": 0.25, + "learning_rate": 0.00035299428312430913, + "loss": 1.4812, + "step": 846 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003528733805052725, + "loss": 1.335, + "step": 847 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003527523433617665, + "loss": 1.4521, + "step": 848 + }, + { + "epoch": 0.25, + "learning_rate": 0.00035263117180030055, + "loss": 1.2322, + "step": 849 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003525098659275024, + "loss": 1.3555, + "step": 850 + }, + { + "epoch": 0.25, + "learning_rate": 0.00035238842585011784, + "loss": 1.3167, + "step": 851 + }, + { + "epoch": 0.25, + "learning_rate": 0.000352266851675011, + "loss": 1.2408, + "step": 852 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003521451435091638, + "loss": 1.2397, + "step": 853 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003520233014596762, + "loss": 1.4012, + "step": 854 + }, + { + "epoch": 0.25, + "learning_rate": 0.000351901325633766, + "loss": 1.2655, + "step": 855 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003517792161387685, + "loss": 1.2994, + "step": 856 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003516569730821369, + "loss": 1.3843, + "step": 857 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003515345965714418, + "loss": 1.2291, + "step": 858 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003514120867143712, + "loss": 1.2817, + "step": 859 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003512894436187304, + "loss": 1.228, + "step": 860 + }, + { + "epoch": 0.25, + "learning_rate": 0.00035116666739244223, + "loss": 1.312, + "step": 861 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003510437581435463, + "loss": 1.2025, + "step": 862 + }, + { + "epoch": 0.25, + "learning_rate": 0.00035092071598019956, + "loss": 1.2523, + "step": 863 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003507975410106758, + "loss": 1.3244, + "step": 864 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003506742333433656, + "loss": 1.3762, + "step": 865 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003505507930867764, + "loss": 1.2588, + "step": 866 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003504272203495324, + "loss": 1.2548, + "step": 867 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003503035152403743, + "loss": 1.1942, + "step": 868 + }, + { + "epoch": 0.25, + "learning_rate": 0.00035017967786815917, + "loss": 1.2061, + "step": 869 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003500557083418606, + "loss": 1.3105, + "step": 870 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003499316067705685, + "loss": 1.2977, + "step": 871 + }, + { + "epoch": 0.25, + "learning_rate": 0.00034980737326348885, + "loss": 1.2818, + "step": 872 + }, + { + "epoch": 0.25, + "learning_rate": 0.00034968300792994386, + "loss": 1.3441, + "step": 873 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003495585108793717, + "loss": 1.3399, + "step": 874 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003494338822213264, + "loss": 1.2834, + "step": 875 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003493091220654777, + "loss": 1.1703, + "step": 876 + }, + { + "epoch": 0.25, + "learning_rate": 0.0003491842305216114, + "loss": 1.3597, + "step": 877 + }, + { + "epoch": 0.25, + "learning_rate": 0.00034905920769962863, + "loss": 1.2565, + "step": 878 + }, + { + "epoch": 0.25, + "learning_rate": 0.00034893405370954605, + "loss": 1.2479, + "step": 879 + }, + { + "epoch": 0.26, + "learning_rate": 0.0003488087686614959, + "loss": 1.3164, + "step": 880 + }, + { + "epoch": 0.26, + "learning_rate": 0.0003486833526657256, + "loss": 1.2071, + "step": 881 + }, + { + "epoch": 0.26, + "learning_rate": 0.00034855780583259785, + "loss": 1.2601, + "step": 882 + }, + { + "epoch": 0.26, + "learning_rate": 0.00034843212827259055, + "loss": 1.3907, + "step": 883 + }, + { + "epoch": 0.26, + "learning_rate": 0.0003483063200962966, + "loss": 1.3849, + "step": 884 + }, + { + "epoch": 0.26, + "learning_rate": 0.00034818038141442366, + "loss": 1.3005, + "step": 885 + }, + { + "epoch": 0.26, + "learning_rate": 0.00034805431233779456, + "loss": 1.3962, + "step": 886 + }, + { + "epoch": 0.26, + "learning_rate": 0.00034792811297734656, + "loss": 1.3415, + "step": 887 + }, + { + "epoch": 0.26, + "learning_rate": 0.00034780178344413185, + "loss": 1.2538, + "step": 888 + }, + { + "epoch": 0.26, + "learning_rate": 0.0003476753238493169, + "loss": 1.2713, + "step": 889 + }, + { + "epoch": 0.26, + "learning_rate": 0.0003475487343041829, + "loss": 1.2862, + "step": 890 + }, + { + "epoch": 0.26, + "learning_rate": 0.00034742201492012504, + "loss": 1.1766, + "step": 891 + }, + { + "epoch": 0.26, + "learning_rate": 0.0003472951658086532, + "loss": 1.3389, + "step": 892 + }, + { + "epoch": 0.26, + "learning_rate": 0.0003471681870813911, + "loss": 1.2903, + "step": 893 + }, + { + "epoch": 0.26, + "learning_rate": 0.00034704107885007656, + "loss": 1.3663, + "step": 894 + }, + { + "epoch": 0.26, + "learning_rate": 0.0003469138412265614, + "loss": 1.2847, + "step": 895 + }, + { + "epoch": 0.26, + "learning_rate": 0.00034678647432281147, + "loss": 1.2622, + "step": 896 + }, + { + "epoch": 0.26, + "learning_rate": 0.000346658978250906, + "loss": 1.3262, + "step": 897 + }, + { + "epoch": 0.26, + "learning_rate": 0.0003465313531230383, + "loss": 1.558, + "step": 898 + }, + { + "epoch": 0.26, + "learning_rate": 0.000346403599051515, + "loss": 1.3492, + "step": 899 + }, + { + "epoch": 0.26, + "learning_rate": 0.0003462757161487562, + "loss": 1.574, + "step": 900 + }, + { + "epoch": 0.26, + "learning_rate": 0.00034614770452729544, + "loss": 1.2393, + "step": 901 + }, + { + "epoch": 0.26, + "learning_rate": 0.0003460195642997795, + "loss": 1.3901, + "step": 902 + }, + { + "epoch": 0.26, + "learning_rate": 0.00034589129557896845, + "loss": 1.1878, + "step": 903 + }, + { + "epoch": 0.26, + "learning_rate": 0.00034576289847773514, + "loss": 1.2544, + "step": 904 + }, + { + "epoch": 0.26, + "learning_rate": 0.0003456343731090657, + "loss": 1.301, + "step": 905 + }, + { + "epoch": 0.26, + "learning_rate": 0.000345505719586059, + "loss": 1.125, + "step": 906 + }, + { + "epoch": 0.26, + "learning_rate": 0.0003453769380219266, + "loss": 1.4236, + "step": 907 + }, + { + "epoch": 0.26, + "learning_rate": 0.0003452480285299929, + "loss": 1.3812, + "step": 908 + }, + { + "epoch": 0.26, + "learning_rate": 0.00034511899122369476, + "loss": 1.2932, + "step": 909 + }, + { + "epoch": 0.26, + "learning_rate": 0.00034498982621658156, + "loss": 1.3466, + "step": 910 + }, + { + "epoch": 0.26, + "learning_rate": 0.00034486053362231496, + "loss": 1.331, + "step": 911 + }, + { + "epoch": 0.26, + "learning_rate": 0.00034473111355466906, + "loss": 1.2288, + "step": 912 + }, + { + "epoch": 0.26, + "learning_rate": 0.00034460156612753004, + "loss": 1.3641, + "step": 913 + }, + { + "epoch": 0.26, + "learning_rate": 0.0003444718914548961, + "loss": 1.1936, + "step": 914 + }, + { + "epoch": 0.27, + "learning_rate": 0.0003443420896508775, + "loss": 1.1695, + "step": 915 + }, + { + "epoch": 0.27, + "learning_rate": 0.0003442121608296964, + "loss": 1.3313, + "step": 916 + }, + { + "epoch": 0.27, + "learning_rate": 0.0003440821051056866, + "loss": 1.2438, + "step": 917 + }, + { + "epoch": 0.27, + "learning_rate": 0.00034395192259329365, + "loss": 1.0805, + "step": 918 + }, + { + "epoch": 0.27, + "learning_rate": 0.00034382161340707466, + "loss": 1.2497, + "step": 919 + }, + { + "epoch": 0.27, + "learning_rate": 0.0003436911776616982, + "loss": 1.2729, + "step": 920 + }, + { + "epoch": 0.27, + "learning_rate": 0.00034356061547194427, + "loss": 1.599, + "step": 921 + }, + { + "epoch": 0.27, + "learning_rate": 0.0003434299269527041, + "loss": 1.3383, + "step": 922 + }, + { + "epoch": 0.27, + "learning_rate": 0.0003432991122189801, + "loss": 1.301, + "step": 923 + }, + { + "epoch": 0.27, + "learning_rate": 0.0003431681713858856, + "loss": 1.289, + "step": 924 + }, + { + "epoch": 0.27, + "learning_rate": 0.00034303710456864506, + "loss": 1.2264, + "step": 925 + }, + { + "epoch": 0.27, + "learning_rate": 0.00034290591188259386, + "loss": 1.2434, + "step": 926 + }, + { + "epoch": 0.27, + "learning_rate": 0.000342774593443178, + "loss": 1.5302, + "step": 927 + }, + { + "epoch": 0.27, + "learning_rate": 0.00034264314936595407, + "loss": 1.2321, + "step": 928 + }, + { + "epoch": 0.27, + "learning_rate": 0.00034251157976658943, + "loss": 1.2389, + "step": 929 + }, + { + "epoch": 0.27, + "learning_rate": 0.00034237988476086177, + "loss": 1.2864, + "step": 930 + }, + { + "epoch": 0.27, + "learning_rate": 0.00034224806446465927, + "loss": 1.3782, + "step": 931 + }, + { + "epoch": 0.27, + "learning_rate": 0.00034211611899398, + "loss": 1.3262, + "step": 932 + }, + { + "epoch": 0.27, + "learning_rate": 0.0003419840484649326, + "loss": 1.4719, + "step": 933 + }, + { + "epoch": 0.27, + "learning_rate": 0.0003418518529937356, + "loss": 1.1969, + "step": 934 + }, + { + "epoch": 0.27, + "learning_rate": 0.00034171953269671745, + "loss": 1.3223, + "step": 935 + }, + { + "epoch": 0.27, + "learning_rate": 0.0003415870876903164, + "loss": 1.1886, + "step": 936 + }, + { + "epoch": 0.27, + "learning_rate": 0.0003414545180910805, + "loss": 1.3605, + "step": 937 + }, + { + "epoch": 0.27, + "learning_rate": 0.0003413218240156675, + "loss": 1.4476, + "step": 938 + }, + { + "epoch": 0.27, + "learning_rate": 0.00034118900558084464, + "loss": 1.3892, + "step": 939 + }, + { + "epoch": 0.27, + "learning_rate": 0.0003410560629034884, + "loss": 1.399, + "step": 940 + }, + { + "epoch": 0.27, + "learning_rate": 0.00034092299610058506, + "loss": 1.2616, + "step": 941 + }, + { + "epoch": 0.27, + "learning_rate": 0.00034078980528922954, + "loss": 1.2666, + "step": 942 + }, + { + "epoch": 0.27, + "learning_rate": 0.0003406564905866264, + "loss": 1.2589, + "step": 943 + }, + { + "epoch": 0.27, + "learning_rate": 0.00034052305211008883, + "loss": 1.3343, + "step": 944 + }, + { + "epoch": 0.27, + "learning_rate": 0.00034038948997703916, + "loss": 1.2685, + "step": 945 + }, + { + "epoch": 0.27, + "learning_rate": 0.00034025580430500864, + "loss": 1.3386, + "step": 946 + }, + { + "epoch": 0.27, + "learning_rate": 0.00034012199521163677, + "loss": 1.2239, + "step": 947 + }, + { + "epoch": 0.27, + "learning_rate": 0.0003399880628146722, + "loss": 1.188, + "step": 948 + }, + { + "epoch": 0.28, + "learning_rate": 0.0003398540072319717, + "loss": 1.2265, + "step": 949 + }, + { + "epoch": 0.28, + "learning_rate": 0.0003397198285815007, + "loss": 1.4477, + "step": 950 + }, + { + "epoch": 0.28, + "learning_rate": 0.00033958552698133275, + "loss": 1.3151, + "step": 951 + }, + { + "epoch": 0.28, + "learning_rate": 0.00033945110254964965, + "loss": 1.3016, + "step": 952 + }, + { + "epoch": 0.28, + "learning_rate": 0.00033931655540474134, + "loss": 1.3619, + "step": 953 + }, + { + "epoch": 0.28, + "learning_rate": 0.00033918188566500556, + "loss": 1.4516, + "step": 954 + }, + { + "epoch": 0.28, + "learning_rate": 0.0003390470934489482, + "loss": 1.2323, + "step": 955 + }, + { + "epoch": 0.28, + "learning_rate": 0.00033891217887518276, + "loss": 1.3176, + "step": 956 + }, + { + "epoch": 0.28, + "learning_rate": 0.0003387771420624304, + "loss": 1.3262, + "step": 957 + }, + { + "epoch": 0.28, + "learning_rate": 0.0003386419831295199, + "loss": 1.1469, + "step": 958 + }, + { + "epoch": 0.28, + "learning_rate": 0.0003385067021953875, + "loss": 1.2472, + "step": 959 + }, + { + "epoch": 0.28, + "learning_rate": 0.00033837129937907683, + "loss": 1.4968, + "step": 960 + }, + { + "epoch": 0.28, + "learning_rate": 0.0003382357747997387, + "loss": 1.1333, + "step": 961 + }, + { + "epoch": 0.28, + "learning_rate": 0.00033810012857663104, + "loss": 1.2604, + "step": 962 + }, + { + "epoch": 0.28, + "learning_rate": 0.000337964360829119, + "loss": 1.3023, + "step": 963 + }, + { + "epoch": 0.28, + "learning_rate": 0.0003378284716766745, + "loss": 1.5207, + "step": 964 + }, + { + "epoch": 0.28, + "learning_rate": 0.00033769246123887625, + "loss": 1.2229, + "step": 965 + }, + { + "epoch": 0.28, + "learning_rate": 0.00033755632963540993, + "loss": 1.3655, + "step": 966 + }, + { + "epoch": 0.28, + "learning_rate": 0.00033742007698606765, + "loss": 1.1568, + "step": 967 + }, + { + "epoch": 0.28, + "learning_rate": 0.000337283703410748, + "loss": 1.1576, + "step": 968 + }, + { + "epoch": 0.28, + "learning_rate": 0.0003371472090294562, + "loss": 1.1474, + "step": 969 + }, + { + "epoch": 0.28, + "learning_rate": 0.0003370105939623035, + "loss": 1.3913, + "step": 970 + }, + { + "epoch": 0.28, + "learning_rate": 0.0003368738583295077, + "loss": 1.3809, + "step": 971 + }, + { + "epoch": 0.28, + "learning_rate": 0.00033673700225139225, + "loss": 1.3749, + "step": 972 + }, + { + "epoch": 0.28, + "learning_rate": 0.0003366000258483869, + "loss": 1.3265, + "step": 973 + }, + { + "epoch": 0.28, + "learning_rate": 0.00033646292924102727, + "loss": 1.3178, + "step": 974 + }, + { + "epoch": 0.28, + "learning_rate": 0.0003363257125499546, + "loss": 1.3419, + "step": 975 + }, + { + "epoch": 0.28, + "learning_rate": 0.0003361883758959159, + "loss": 1.3618, + "step": 976 + }, + { + "epoch": 0.28, + "learning_rate": 0.0003360509193997639, + "loss": 1.412, + "step": 977 + }, + { + "epoch": 0.28, + "learning_rate": 0.0003359133431824565, + "loss": 1.0222, + "step": 978 + }, + { + "epoch": 0.28, + "learning_rate": 0.000335775647365057, + "loss": 1.4098, + "step": 979 + }, + { + "epoch": 0.28, + "learning_rate": 0.00033563783206873413, + "loss": 1.254, + "step": 980 + }, + { + "epoch": 0.28, + "learning_rate": 0.0003354998974147616, + "loss": 1.2008, + "step": 981 + }, + { + "epoch": 0.28, + "learning_rate": 0.0003353618435245183, + "loss": 1.2168, + "step": 982 + }, + { + "epoch": 0.28, + "learning_rate": 0.0003352236705194878, + "loss": 1.3808, + "step": 983 + }, + { + "epoch": 0.29, + "learning_rate": 0.00033508537852125877, + "loss": 1.2343, + "step": 984 + }, + { + "epoch": 0.29, + "learning_rate": 0.00033494696765152426, + "loss": 1.2673, + "step": 985 + }, + { + "epoch": 0.29, + "learning_rate": 0.00033480843803208236, + "loss": 1.3375, + "step": 986 + }, + { + "epoch": 0.29, + "learning_rate": 0.0003346697897848352, + "loss": 1.2231, + "step": 987 + }, + { + "epoch": 0.29, + "learning_rate": 0.0003345310230317897, + "loss": 1.2481, + "step": 988 + }, + { + "epoch": 0.29, + "learning_rate": 0.0003343921378950568, + "loss": 1.2603, + "step": 989 + }, + { + "epoch": 0.29, + "learning_rate": 0.0003342531344968516, + "loss": 1.3673, + "step": 990 + }, + { + "epoch": 0.29, + "learning_rate": 0.0003341140129594935, + "loss": 1.1984, + "step": 991 + }, + { + "epoch": 0.29, + "learning_rate": 0.0003339747734054057, + "loss": 1.2851, + "step": 992 + }, + { + "epoch": 0.29, + "learning_rate": 0.00033383541595711515, + "loss": 1.2433, + "step": 993 + }, + { + "epoch": 0.29, + "learning_rate": 0.0003336959407372527, + "loss": 1.3085, + "step": 994 + }, + { + "epoch": 0.29, + "learning_rate": 0.0003335563478685529, + "loss": 1.316, + "step": 995 + }, + { + "epoch": 0.29, + "learning_rate": 0.00033341663747385366, + "loss": 1.3461, + "step": 996 + }, + { + "epoch": 0.29, + "learning_rate": 0.0003332768096760964, + "loss": 1.1993, + "step": 997 + }, + { + "epoch": 0.29, + "learning_rate": 0.0003331368645983257, + "loss": 1.2851, + "step": 998 + }, + { + "epoch": 0.29, + "learning_rate": 0.0003329968023636896, + "loss": 1.4083, + "step": 999 + }, + { + "epoch": 0.29, + "learning_rate": 0.00033285662309543915, + "loss": 1.2496, + "step": 1000 + }, + { + "epoch": 0.29, + "learning_rate": 0.0003327163269169282, + "loss": 1.2417, + "step": 1001 + }, + { + "epoch": 0.29, + "learning_rate": 0.0003325759139516137, + "loss": 1.1427, + "step": 1002 + }, + { + "epoch": 0.29, + "learning_rate": 0.0003324353843230553, + "loss": 1.3431, + "step": 1003 + }, + { + "epoch": 0.29, + "learning_rate": 0.00033229473815491535, + "loss": 1.432, + "step": 1004 + }, + { + "epoch": 0.29, + "learning_rate": 0.0003321539755709585, + "loss": 1.3202, + "step": 1005 + }, + { + "epoch": 0.29, + "learning_rate": 0.00033201309669505223, + "loss": 1.3503, + "step": 1006 + }, + { + "epoch": 0.29, + "learning_rate": 0.0003318721016511661, + "loss": 1.2937, + "step": 1007 + }, + { + "epoch": 0.29, + "learning_rate": 0.0003317309905633719, + "loss": 1.3295, + "step": 1008 + }, + { + "epoch": 0.29, + "learning_rate": 0.00033158976355584374, + "loss": 1.2516, + "step": 1009 + }, + { + "epoch": 0.29, + "learning_rate": 0.0003314484207528575, + "loss": 1.2637, + "step": 1010 + }, + { + "epoch": 0.29, + "learning_rate": 0.0003313069622787911, + "loss": 1.2511, + "step": 1011 + }, + { + "epoch": 0.29, + "learning_rate": 0.00033116538825812413, + "loss": 1.2837, + "step": 1012 + }, + { + "epoch": 0.29, + "learning_rate": 0.000331023698815438, + "loss": 1.2124, + "step": 1013 + }, + { + "epoch": 0.29, + "learning_rate": 0.0003308818940754156, + "loss": 1.3627, + "step": 1014 + }, + { + "epoch": 0.29, + "learning_rate": 0.00033073997416284125, + "loss": 1.3624, + "step": 1015 + }, + { + "epoch": 0.29, + "learning_rate": 0.00033059793920260064, + "loss": 1.2367, + "step": 1016 + }, + { + "epoch": 0.29, + "learning_rate": 0.0003304557893196808, + "loss": 1.3101, + "step": 1017 + }, + { + "epoch": 0.3, + "learning_rate": 0.0003303135246391698, + "loss": 1.3609, + "step": 1018 + }, + { + "epoch": 0.3, + "learning_rate": 0.0003301711452862567, + "loss": 1.1903, + "step": 1019 + }, + { + "epoch": 0.3, + "learning_rate": 0.00033002865138623147, + "loss": 1.2604, + "step": 1020 + }, + { + "epoch": 0.3, + "learning_rate": 0.000329886043064485, + "loss": 1.2647, + "step": 1021 + }, + { + "epoch": 0.3, + "learning_rate": 0.0003297433204465088, + "loss": 1.218, + "step": 1022 + }, + { + "epoch": 0.3, + "learning_rate": 0.00032960048365789486, + "loss": 1.2481, + "step": 1023 + }, + { + "epoch": 0.3, + "learning_rate": 0.0003294575328243357, + "loss": 1.3108, + "step": 1024 + }, + { + "epoch": 0.3, + "learning_rate": 0.00032931446807162436, + "loss": 1.219, + "step": 1025 + }, + { + "epoch": 0.3, + "learning_rate": 0.0003291712895256538, + "loss": 1.4056, + "step": 1026 + }, + { + "epoch": 0.3, + "learning_rate": 0.0003290279973124174, + "loss": 1.3875, + "step": 1027 + }, + { + "epoch": 0.3, + "learning_rate": 0.00032888459155800846, + "loss": 1.237, + "step": 1028 + }, + { + "epoch": 0.3, + "learning_rate": 0.0003287410723886201, + "loss": 1.381, + "step": 1029 + }, + { + "epoch": 0.3, + "learning_rate": 0.0003285974399305455, + "loss": 1.3096, + "step": 1030 + }, + { + "epoch": 0.3, + "learning_rate": 0.0003284536943101772, + "loss": 1.3856, + "step": 1031 + }, + { + "epoch": 0.3, + "learning_rate": 0.0003283098356540077, + "loss": 1.3452, + "step": 1032 + }, + { + "epoch": 0.3, + "learning_rate": 0.0003281658640886285, + "loss": 1.2547, + "step": 1033 + }, + { + "epoch": 0.3, + "learning_rate": 0.00032802177974073076, + "loss": 1.1737, + "step": 1034 + }, + { + "epoch": 0.3, + "learning_rate": 0.00032787758273710495, + "loss": 1.3169, + "step": 1035 + }, + { + "epoch": 0.3, + "learning_rate": 0.0003277332732046405, + "loss": 1.1254, + "step": 1036 + }, + { + "epoch": 0.3, + "learning_rate": 0.00032758885127032606, + "loss": 1.2771, + "step": 1037 + }, + { + "epoch": 0.3, + "learning_rate": 0.00032744431706124876, + "loss": 1.5731, + "step": 1038 + }, + { + "epoch": 0.3, + "learning_rate": 0.0003272996707045951, + "loss": 1.3528, + "step": 1039 + }, + { + "epoch": 0.3, + "learning_rate": 0.0003271549123276498, + "loss": 1.3671, + "step": 1040 + }, + { + "epoch": 0.3, + "learning_rate": 0.0003270100420577965, + "loss": 1.375, + "step": 1041 + }, + { + "epoch": 0.3, + "learning_rate": 0.00032686506002251704, + "loss": 1.3423, + "step": 1042 + }, + { + "epoch": 0.3, + "learning_rate": 0.00032671996634939173, + "loss": 1.3171, + "step": 1043 + }, + { + "epoch": 0.3, + "learning_rate": 0.0003265747611660991, + "loss": 1.1313, + "step": 1044 + }, + { + "epoch": 0.3, + "learning_rate": 0.0003264294446004159, + "loss": 1.6061, + "step": 1045 + }, + { + "epoch": 0.3, + "learning_rate": 0.0003262840167802167, + "loss": 1.283, + "step": 1046 + }, + { + "epoch": 0.3, + "learning_rate": 0.00032613847783347414, + "loss": 1.1906, + "step": 1047 + }, + { + "epoch": 0.3, + "learning_rate": 0.00032599282788825854, + "loss": 1.3627, + "step": 1048 + }, + { + "epoch": 0.3, + "learning_rate": 0.000325847067072738, + "loss": 1.3425, + "step": 1049 + }, + { + "epoch": 0.3, + "learning_rate": 0.000325701195515178, + "loss": 1.404, + "step": 1050 + }, + { + "epoch": 0.3, + "learning_rate": 0.00032555521334394174, + "loss": 1.132, + "step": 1051 + }, + { + "epoch": 0.3, + "learning_rate": 0.0003254091206874895, + "loss": 1.3062, + "step": 1052 + }, + { + "epoch": 0.31, + "learning_rate": 0.000325262917674379, + "loss": 1.1618, + "step": 1053 + }, + { + "epoch": 0.31, + "learning_rate": 0.00032511660443326485, + "loss": 1.2118, + "step": 1054 + }, + { + "epoch": 0.31, + "learning_rate": 0.00032497018109289887, + "loss": 1.343, + "step": 1055 + }, + { + "epoch": 0.31, + "learning_rate": 0.00032482364778212966, + "loss": 1.4845, + "step": 1056 + }, + { + "epoch": 0.31, + "learning_rate": 0.0003246770046299025, + "loss": 1.1748, + "step": 1057 + }, + { + "epoch": 0.31, + "learning_rate": 0.0003245302517652596, + "loss": 1.3668, + "step": 1058 + }, + { + "epoch": 0.31, + "learning_rate": 0.0003243833893173393, + "loss": 1.0851, + "step": 1059 + }, + { + "epoch": 0.31, + "learning_rate": 0.00032423641741537683, + "loss": 1.3395, + "step": 1060 + }, + { + "epoch": 0.31, + "learning_rate": 0.0003240893361887034, + "loss": 1.3099, + "step": 1061 + }, + { + "epoch": 0.31, + "learning_rate": 0.00032394214576674657, + "loss": 1.4818, + "step": 1062 + }, + { + "epoch": 0.31, + "learning_rate": 0.00032379484627902995, + "loss": 1.3774, + "step": 1063 + }, + { + "epoch": 0.31, + "learning_rate": 0.00032364743785517317, + "loss": 1.348, + "step": 1064 + }, + { + "epoch": 0.31, + "learning_rate": 0.00032349992062489163, + "loss": 1.293, + "step": 1065 + }, + { + "epoch": 0.31, + "learning_rate": 0.00032335229471799654, + "loss": 1.1384, + "step": 1066 + }, + { + "epoch": 0.31, + "learning_rate": 0.0003232045602643948, + "loss": 1.3489, + "step": 1067 + }, + { + "epoch": 0.31, + "learning_rate": 0.00032305671739408864, + "loss": 1.0874, + "step": 1068 + }, + { + "epoch": 0.31, + "learning_rate": 0.000322908766237176, + "loss": 1.1842, + "step": 1069 + }, + { + "epoch": 0.31, + "learning_rate": 0.00032276070692384965, + "loss": 1.2471, + "step": 1070 + }, + { + "epoch": 0.31, + "learning_rate": 0.0003226125395843981, + "loss": 1.4924, + "step": 1071 + }, + { + "epoch": 0.31, + "learning_rate": 0.0003224642643492045, + "loss": 1.2523, + "step": 1072 + }, + { + "epoch": 0.31, + "learning_rate": 0.000322315881348747, + "loss": 1.2867, + "step": 1073 + }, + { + "epoch": 0.31, + "learning_rate": 0.0003221673907135988, + "loss": 1.463, + "step": 1074 + }, + { + "epoch": 0.31, + "learning_rate": 0.0003220187925744275, + "loss": 1.2859, + "step": 1075 + }, + { + "epoch": 0.31, + "learning_rate": 0.00032187008706199567, + "loss": 1.072, + "step": 1076 + }, + { + "epoch": 0.31, + "learning_rate": 0.00032172127430716007, + "loss": 1.3431, + "step": 1077 + }, + { + "epoch": 0.31, + "learning_rate": 0.0003215723544408719, + "loss": 1.3594, + "step": 1078 + }, + { + "epoch": 0.31, + "learning_rate": 0.00032142332759417665, + "loss": 1.3436, + "step": 1079 + }, + { + "epoch": 0.31, + "learning_rate": 0.00032127419389821403, + "loss": 1.3454, + "step": 1080 + }, + { + "epoch": 0.31, + "learning_rate": 0.0003211249534842176, + "loss": 1.3333, + "step": 1081 + }, + { + "epoch": 0.31, + "learning_rate": 0.0003209756064835149, + "loss": 1.3765, + "step": 1082 + }, + { + "epoch": 0.31, + "learning_rate": 0.0003208261530275274, + "loss": 1.4229, + "step": 1083 + }, + { + "epoch": 0.31, + "learning_rate": 0.00032067659324776996, + "loss": 1.045, + "step": 1084 + }, + { + "epoch": 0.31, + "learning_rate": 0.00032052692727585133, + "loss": 1.3477, + "step": 1085 + }, + { + "epoch": 0.31, + "learning_rate": 0.0003203771552434734, + "loss": 1.2725, + "step": 1086 + }, + { + "epoch": 0.32, + "learning_rate": 0.00032022727728243163, + "loss": 1.3644, + "step": 1087 + }, + { + "epoch": 0.32, + "learning_rate": 0.0003200772935246146, + "loss": 1.3548, + "step": 1088 + }, + { + "epoch": 0.32, + "learning_rate": 0.000319927204102004, + "loss": 1.3695, + "step": 1089 + }, + { + "epoch": 0.32, + "learning_rate": 0.0003197770091466744, + "loss": 1.2361, + "step": 1090 + }, + { + "epoch": 0.32, + "learning_rate": 0.0003196267087907934, + "loss": 1.2436, + "step": 1091 + }, + { + "epoch": 0.32, + "learning_rate": 0.00031947630316662127, + "loss": 1.4142, + "step": 1092 + }, + { + "epoch": 0.32, + "learning_rate": 0.00031932579240651093, + "loss": 1.1265, + "step": 1093 + }, + { + "epoch": 0.32, + "learning_rate": 0.00031917517664290776, + "loss": 1.2766, + "step": 1094 + }, + { + "epoch": 0.32, + "learning_rate": 0.0003190244560083496, + "loss": 1.3594, + "step": 1095 + }, + { + "epoch": 0.32, + "learning_rate": 0.00031887363063546665, + "loss": 1.2358, + "step": 1096 + }, + { + "epoch": 0.32, + "learning_rate": 0.0003187227006569812, + "loss": 1.2309, + "step": 1097 + }, + { + "epoch": 0.32, + "learning_rate": 0.0003185716662057073, + "loss": 1.3444, + "step": 1098 + }, + { + "epoch": 0.32, + "learning_rate": 0.00031842052741455146, + "loss": 1.3418, + "step": 1099 + }, + { + "epoch": 0.32, + "learning_rate": 0.00031826928441651176, + "loss": 1.3559, + "step": 1100 + }, + { + "epoch": 0.32, + "learning_rate": 0.00031811793734467787, + "loss": 1.276, + "step": 1101 + }, + { + "epoch": 0.32, + "learning_rate": 0.00031796648633223125, + "loss": 1.2734, + "step": 1102 + }, + { + "epoch": 0.32, + "learning_rate": 0.00031781493151244463, + "loss": 1.2315, + "step": 1103 + }, + { + "epoch": 0.32, + "learning_rate": 0.0003176632730186822, + "loss": 1.3014, + "step": 1104 + }, + { + "epoch": 0.32, + "learning_rate": 0.00031751151098439946, + "loss": 1.3195, + "step": 1105 + }, + { + "epoch": 0.32, + "learning_rate": 0.0003173596455431428, + "loss": 1.119, + "step": 1106 + }, + { + "epoch": 0.32, + "learning_rate": 0.0003172076768285497, + "loss": 1.3873, + "step": 1107 + }, + { + "epoch": 0.32, + "learning_rate": 0.00031705560497434883, + "loss": 1.4302, + "step": 1108 + }, + { + "epoch": 0.32, + "learning_rate": 0.00031690343011435895, + "loss": 1.2712, + "step": 1109 + }, + { + "epoch": 0.32, + "learning_rate": 0.00031675115238249013, + "loss": 1.2812, + "step": 1110 + }, + { + "epoch": 0.32, + "learning_rate": 0.00031659877191274257, + "loss": 1.2545, + "step": 1111 + }, + { + "epoch": 0.32, + "learning_rate": 0.00031644628883920696, + "loss": 1.2387, + "step": 1112 + }, + { + "epoch": 0.32, + "learning_rate": 0.0003162937032960644, + "loss": 1.2183, + "step": 1113 + }, + { + "epoch": 0.32, + "learning_rate": 0.0003161410154175861, + "loss": 1.2704, + "step": 1114 + }, + { + "epoch": 0.32, + "learning_rate": 0.00031598822533813315, + "loss": 1.308, + "step": 1115 + }, + { + "epoch": 0.32, + "learning_rate": 0.0003158353331921568, + "loss": 1.3652, + "step": 1116 + }, + { + "epoch": 0.32, + "learning_rate": 0.00031568233911419795, + "loss": 1.2184, + "step": 1117 + }, + { + "epoch": 0.32, + "learning_rate": 0.0003155292432388874, + "loss": 1.2892, + "step": 1118 + }, + { + "epoch": 0.32, + "learning_rate": 0.00031537604570094544, + "loss": 1.3794, + "step": 1119 + }, + { + "epoch": 0.32, + "learning_rate": 0.00031522274663518167, + "loss": 1.3267, + "step": 1120 + }, + { + "epoch": 0.32, + "learning_rate": 0.0003150693461764952, + "loss": 1.3899, + "step": 1121 + }, + { + "epoch": 0.33, + "learning_rate": 0.0003149158444598743, + "loss": 1.1889, + "step": 1122 + }, + { + "epoch": 0.33, + "learning_rate": 0.00031476224162039633, + "loss": 1.2387, + "step": 1123 + }, + { + "epoch": 0.33, + "learning_rate": 0.0003146085377932277, + "loss": 1.3521, + "step": 1124 + }, + { + "epoch": 0.33, + "learning_rate": 0.0003144547331136237, + "loss": 1.4573, + "step": 1125 + }, + { + "epoch": 0.33, + "learning_rate": 0.0003143008277169282, + "loss": 1.2822, + "step": 1126 + }, + { + "epoch": 0.33, + "learning_rate": 0.00031414682173857395, + "loss": 1.4768, + "step": 1127 + }, + { + "epoch": 0.33, + "learning_rate": 0.0003139927153140819, + "loss": 1.4126, + "step": 1128 + }, + { + "epoch": 0.33, + "learning_rate": 0.00031383850857906177, + "loss": 1.2651, + "step": 1129 + }, + { + "epoch": 0.33, + "learning_rate": 0.0003136842016692112, + "loss": 1.2556, + "step": 1130 + }, + { + "epoch": 0.33, + "learning_rate": 0.0003135297947203162, + "loss": 1.4173, + "step": 1131 + }, + { + "epoch": 0.33, + "learning_rate": 0.00031337528786825074, + "loss": 1.2882, + "step": 1132 + }, + { + "epoch": 0.33, + "learning_rate": 0.0003132206812489766, + "loss": 1.2622, + "step": 1133 + }, + { + "epoch": 0.33, + "learning_rate": 0.00031306597499854356, + "loss": 1.3657, + "step": 1134 + }, + { + "epoch": 0.33, + "learning_rate": 0.00031291116925308895, + "loss": 1.2806, + "step": 1135 + }, + { + "epoch": 0.33, + "learning_rate": 0.00031275626414883765, + "loss": 1.1607, + "step": 1136 + }, + { + "epoch": 0.33, + "learning_rate": 0.00031260125982210195, + "loss": 1.4189, + "step": 1137 + }, + { + "epoch": 0.33, + "learning_rate": 0.00031244615640928155, + "loss": 1.3719, + "step": 1138 + }, + { + "epoch": 0.33, + "learning_rate": 0.00031229095404686333, + "loss": 1.3134, + "step": 1139 + }, + { + "epoch": 0.33, + "learning_rate": 0.0003121356528714211, + "loss": 1.2751, + "step": 1140 + }, + { + "epoch": 0.33, + "learning_rate": 0.0003119802530196158, + "loss": 1.4261, + "step": 1141 + }, + { + "epoch": 0.33, + "learning_rate": 0.000311824754628195, + "loss": 1.0773, + "step": 1142 + }, + { + "epoch": 0.33, + "learning_rate": 0.0003116691578339933, + "loss": 1.2708, + "step": 1143 + }, + { + "epoch": 0.33, + "learning_rate": 0.00031151346277393156, + "loss": 1.1252, + "step": 1144 + }, + { + "epoch": 0.33, + "learning_rate": 0.00031135766958501727, + "loss": 1.2471, + "step": 1145 + }, + { + "epoch": 0.33, + "learning_rate": 0.00031120177840434434, + "loss": 1.1925, + "step": 1146 + }, + { + "epoch": 0.33, + "learning_rate": 0.0003110457893690928, + "loss": 1.3149, + "step": 1147 + }, + { + "epoch": 0.33, + "learning_rate": 0.00031088970261652866, + "loss": 1.2653, + "step": 1148 + }, + { + "epoch": 0.33, + "learning_rate": 0.00031073351828400425, + "loss": 1.2462, + "step": 1149 + }, + { + "epoch": 0.33, + "learning_rate": 0.0003105772365089575, + "loss": 1.3278, + "step": 1150 + }, + { + "epoch": 0.33, + "learning_rate": 0.0003104208574289122, + "loss": 1.4563, + "step": 1151 + }, + { + "epoch": 0.33, + "learning_rate": 0.0003102643811814778, + "loss": 1.3731, + "step": 1152 + }, + { + "epoch": 0.33, + "learning_rate": 0.00031010780790434906, + "loss": 1.1842, + "step": 1153 + }, + { + "epoch": 0.33, + "learning_rate": 0.00030995113773530633, + "loss": 1.2848, + "step": 1154 + }, + { + "epoch": 0.33, + "learning_rate": 0.0003097943708122152, + "loss": 1.2751, + "step": 1155 + }, + { + "epoch": 0.34, + "learning_rate": 0.0003096375072730262, + "loss": 1.3703, + "step": 1156 + }, + { + "epoch": 0.34, + "learning_rate": 0.00030948054725577525, + "loss": 1.4415, + "step": 1157 + }, + { + "epoch": 0.34, + "learning_rate": 0.0003093234908985828, + "loss": 1.2485, + "step": 1158 + }, + { + "epoch": 0.34, + "learning_rate": 0.0003091663383396543, + "loss": 1.3278, + "step": 1159 + }, + { + "epoch": 0.34, + "learning_rate": 0.0003090090897172797, + "loss": 1.4458, + "step": 1160 + }, + { + "epoch": 0.34, + "learning_rate": 0.0003088517451698336, + "loss": 1.41, + "step": 1161 + }, + { + "epoch": 0.34, + "learning_rate": 0.00030869430483577504, + "loss": 1.3387, + "step": 1162 + }, + { + "epoch": 0.34, + "learning_rate": 0.00030853676885364724, + "loss": 1.2245, + "step": 1163 + }, + { + "epoch": 0.34, + "learning_rate": 0.00030837913736207756, + "loss": 1.2714, + "step": 1164 + }, + { + "epoch": 0.34, + "learning_rate": 0.0003082214104997776, + "loss": 1.1188, + "step": 1165 + }, + { + "epoch": 0.34, + "learning_rate": 0.00030806358840554263, + "loss": 1.3079, + "step": 1166 + }, + { + "epoch": 0.34, + "learning_rate": 0.000307905671218252, + "loss": 1.3317, + "step": 1167 + }, + { + "epoch": 0.34, + "learning_rate": 0.0003077476590768686, + "loss": 1.1684, + "step": 1168 + }, + { + "epoch": 0.34, + "learning_rate": 0.00030758955212043865, + "loss": 1.4122, + "step": 1169 + }, + { + "epoch": 0.34, + "learning_rate": 0.00030743135048809226, + "loss": 1.4393, + "step": 1170 + }, + { + "epoch": 0.34, + "learning_rate": 0.0003072730543190424, + "loss": 1.4578, + "step": 1171 + }, + { + "epoch": 0.34, + "learning_rate": 0.00030711466375258576, + "loss": 1.2782, + "step": 1172 + }, + { + "epoch": 0.34, + "learning_rate": 0.0003069561789281015, + "loss": 1.2647, + "step": 1173 + }, + { + "epoch": 0.34, + "learning_rate": 0.00030679759998505213, + "loss": 1.3026, + "step": 1174 + }, + { + "epoch": 0.34, + "learning_rate": 0.0003066389270629829, + "loss": 1.1644, + "step": 1175 + }, + { + "epoch": 0.34, + "learning_rate": 0.0003064801603015216, + "loss": 1.2328, + "step": 1176 + }, + { + "epoch": 0.34, + "learning_rate": 0.0003063212998403789, + "loss": 1.4035, + "step": 1177 + }, + { + "epoch": 0.34, + "learning_rate": 0.00030616234581934746, + "loss": 1.3095, + "step": 1178 + }, + { + "epoch": 0.34, + "learning_rate": 0.00030600329837830276, + "loss": 1.169, + "step": 1179 + }, + { + "epoch": 0.34, + "learning_rate": 0.0003058441576572023, + "loss": 1.318, + "step": 1180 + }, + { + "epoch": 0.34, + "learning_rate": 0.00030568492379608544, + "loss": 1.3981, + "step": 1181 + }, + { + "epoch": 0.34, + "learning_rate": 0.0003055255969350739, + "loss": 1.274, + "step": 1182 + }, + { + "epoch": 0.34, + "learning_rate": 0.000305366177214371, + "loss": 1.1882, + "step": 1183 + }, + { + "epoch": 0.34, + "learning_rate": 0.00030520666477426177, + "loss": 1.2955, + "step": 1184 + }, + { + "epoch": 0.34, + "learning_rate": 0.0003050470597551128, + "loss": 1.272, + "step": 1185 + }, + { + "epoch": 0.34, + "learning_rate": 0.0003048873622973725, + "loss": 1.2953, + "step": 1186 + }, + { + "epoch": 0.34, + "learning_rate": 0.00030472757254157, + "loss": 1.2946, + "step": 1187 + }, + { + "epoch": 0.34, + "learning_rate": 0.0003045676906283162, + "loss": 1.3895, + "step": 1188 + }, + { + "epoch": 0.34, + "learning_rate": 0.0003044077166983028, + "loss": 1.341, + "step": 1189 + }, + { + "epoch": 0.34, + "learning_rate": 0.0003042476508923025, + "loss": 1.1957, + "step": 1190 + }, + { + "epoch": 0.35, + "learning_rate": 0.0003040874933511692, + "loss": 1.3568, + "step": 1191 + }, + { + "epoch": 0.35, + "learning_rate": 0.0003039272442158369, + "loss": 1.1424, + "step": 1192 + }, + { + "epoch": 0.35, + "learning_rate": 0.0003037669036273207, + "loss": 1.3181, + "step": 1193 + }, + { + "epoch": 0.35, + "learning_rate": 0.0003036064717267161, + "loss": 1.2626, + "step": 1194 + }, + { + "epoch": 0.35, + "learning_rate": 0.0003034459486551986, + "loss": 1.1842, + "step": 1195 + }, + { + "epoch": 0.35, + "learning_rate": 0.0003032853345540244, + "loss": 1.286, + "step": 1196 + }, + { + "epoch": 0.35, + "learning_rate": 0.0003031246295645296, + "loss": 1.277, + "step": 1197 + }, + { + "epoch": 0.35, + "learning_rate": 0.0003029638338281302, + "loss": 1.2859, + "step": 1198 + }, + { + "epoch": 0.35, + "learning_rate": 0.0003028029474863221, + "loss": 1.2462, + "step": 1199 + }, + { + "epoch": 0.35, + "learning_rate": 0.00030264197068068105, + "loss": 1.3812, + "step": 1200 + }, + { + "epoch": 0.35, + "learning_rate": 0.00030248090355286224, + "loss": 1.1455, + "step": 1201 + }, + { + "epoch": 0.35, + "learning_rate": 0.0003023197462446005, + "loss": 1.2305, + "step": 1202 + }, + { + "epoch": 0.35, + "learning_rate": 0.00030215849889770973, + "loss": 1.3159, + "step": 1203 + }, + { + "epoch": 0.35, + "learning_rate": 0.00030199716165408365, + "loss": 1.2649, + "step": 1204 + }, + { + "epoch": 0.35, + "learning_rate": 0.0003018357346556943, + "loss": 1.2146, + "step": 1205 + }, + { + "epoch": 0.35, + "learning_rate": 0.00030167421804459327, + "loss": 1.2537, + "step": 1206 + }, + { + "epoch": 0.35, + "learning_rate": 0.00030151261196291094, + "loss": 1.2755, + "step": 1207 + }, + { + "epoch": 0.35, + "learning_rate": 0.00030135091655285616, + "loss": 1.2214, + "step": 1208 + }, + { + "epoch": 0.35, + "learning_rate": 0.0003011891319567167, + "loss": 1.2191, + "step": 1209 + }, + { + "epoch": 0.35, + "learning_rate": 0.00030102725831685845, + "loss": 1.3751, + "step": 1210 + }, + { + "epoch": 0.35, + "learning_rate": 0.0003008652957757261, + "loss": 1.2667, + "step": 1211 + }, + { + "epoch": 0.35, + "learning_rate": 0.0003007032444758421, + "loss": 1.2965, + "step": 1212 + }, + { + "epoch": 0.35, + "learning_rate": 0.00030054110455980746, + "loss": 1.3041, + "step": 1213 + }, + { + "epoch": 0.35, + "learning_rate": 0.0003003788761703008, + "loss": 1.3534, + "step": 1214 + }, + { + "epoch": 0.35, + "learning_rate": 0.0003002165594500789, + "loss": 1.2117, + "step": 1215 + }, + { + "epoch": 0.35, + "learning_rate": 0.00030005415454197596, + "loss": 1.1901, + "step": 1216 + }, + { + "epoch": 0.35, + "learning_rate": 0.000299891661588904, + "loss": 1.1561, + "step": 1217 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002997290807338524, + "loss": 1.2261, + "step": 1218 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002995664121198881, + "loss": 1.3413, + "step": 1219 + }, + { + "epoch": 0.35, + "learning_rate": 0.00029940365589015497, + "loss": 1.3146, + "step": 1220 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002992408121878742, + "loss": 1.1425, + "step": 1221 + }, + { + "epoch": 0.35, + "learning_rate": 0.00029907788115634377, + "loss": 1.2512, + "step": 1222 + }, + { + "epoch": 0.35, + "learning_rate": 0.00029891486293893874, + "loss": 1.3225, + "step": 1223 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002987517576791107, + "loss": 1.1951, + "step": 1224 + }, + { + "epoch": 0.36, + "learning_rate": 0.00029858856552038776, + "loss": 1.2961, + "step": 1225 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002984252866063749, + "loss": 1.4236, + "step": 1226 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002982619210807531, + "loss": 1.2997, + "step": 1227 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002980984690872795, + "loss": 1.3658, + "step": 1228 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002979349307697876, + "loss": 1.232, + "step": 1229 + }, + { + "epoch": 0.36, + "learning_rate": 0.00029777130627218665, + "loss": 1.3018, + "step": 1230 + }, + { + "epoch": 0.36, + "learning_rate": 0.00029760759573846195, + "loss": 1.1708, + "step": 1231 + }, + { + "epoch": 0.36, + "learning_rate": 0.00029744379931267415, + "loss": 1.2785, + "step": 1232 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002972799171389599, + "loss": 1.3665, + "step": 1233 + }, + { + "epoch": 0.36, + "learning_rate": 0.00029711594936153104, + "loss": 1.2077, + "step": 1234 + }, + { + "epoch": 0.36, + "learning_rate": 0.00029695189612467473, + "loss": 1.2757, + "step": 1235 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002967877575727536, + "loss": 1.581, + "step": 1236 + }, + { + "epoch": 0.36, + "learning_rate": 0.000296623533850205, + "loss": 1.2972, + "step": 1237 + }, + { + "epoch": 0.36, + "learning_rate": 0.00029645922510154147, + "loss": 1.097, + "step": 1238 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002962948314713503, + "loss": 1.1225, + "step": 1239 + }, + { + "epoch": 0.36, + "learning_rate": 0.00029613035310429344, + "loss": 1.3598, + "step": 1240 + }, + { + "epoch": 0.36, + "learning_rate": 0.00029596579014510747, + "loss": 1.4496, + "step": 1241 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002958011427386033, + "loss": 1.1856, + "step": 1242 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002956364110296663, + "loss": 1.1327, + "step": 1243 + }, + { + "epoch": 0.36, + "learning_rate": 0.000295471595163256, + "loss": 1.2706, + "step": 1244 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002953066952844058, + "loss": 1.0502, + "step": 1245 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002951417115382232, + "loss": 1.3791, + "step": 1246 + }, + { + "epoch": 0.36, + "learning_rate": 0.00029497664406988956, + "loss": 1.2774, + "step": 1247 + }, + { + "epoch": 0.36, + "learning_rate": 0.00029481149302465975, + "loss": 1.3849, + "step": 1248 + }, + { + "epoch": 0.36, + "learning_rate": 0.00029464625854786224, + "loss": 1.2147, + "step": 1249 + }, + { + "epoch": 0.36, + "learning_rate": 0.00029448094078489894, + "loss": 1.2812, + "step": 1250 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002943155398812451, + "loss": 1.2631, + "step": 1251 + }, + { + "epoch": 0.36, + "learning_rate": 0.00029415005598244895, + "loss": 1.4973, + "step": 1252 + }, + { + "epoch": 0.36, + "learning_rate": 0.000293984489234132, + "loss": 1.3568, + "step": 1253 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002938188397819885, + "loss": 1.4428, + "step": 1254 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002936531077717855, + "loss": 1.4517, + "step": 1255 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002934872933493628, + "loss": 1.1518, + "step": 1256 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002933213966606325, + "loss": 1.2996, + "step": 1257 + }, + { + "epoch": 0.36, + "learning_rate": 0.00029315541785157937, + "loss": 1.1926, + "step": 1258 + }, + { + "epoch": 0.36, + "learning_rate": 0.00029298935706826017, + "loss": 1.3596, + "step": 1259 + }, + { + "epoch": 0.37, + "learning_rate": 0.000292823214456804, + "loss": 1.3128, + "step": 1260 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002926569901634119, + "loss": 1.1898, + "step": 1261 + }, + { + "epoch": 0.37, + "learning_rate": 0.00029249068433435683, + "loss": 1.2303, + "step": 1262 + }, + { + "epoch": 0.37, + "learning_rate": 0.00029232429711598335, + "loss": 1.1898, + "step": 1263 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002921578286547078, + "loss": 1.2474, + "step": 1264 + }, + { + "epoch": 0.37, + "learning_rate": 0.00029199127909701803, + "loss": 1.2588, + "step": 1265 + }, + { + "epoch": 0.37, + "learning_rate": 0.000291824648589473, + "loss": 1.3361, + "step": 1266 + }, + { + "epoch": 0.37, + "learning_rate": 0.00029165793727870323, + "loss": 1.2607, + "step": 1267 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002914911453114101, + "loss": 1.3589, + "step": 1268 + }, + { + "epoch": 0.37, + "learning_rate": 0.00029132427283436613, + "loss": 1.2802, + "step": 1269 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002911573199944147, + "loss": 1.298, + "step": 1270 + }, + { + "epoch": 0.37, + "learning_rate": 0.00029099028693846954, + "loss": 1.3343, + "step": 1271 + }, + { + "epoch": 0.37, + "learning_rate": 0.00029082317381351556, + "loss": 1.2028, + "step": 1272 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002906559807666077, + "loss": 1.299, + "step": 1273 + }, + { + "epoch": 0.37, + "learning_rate": 0.00029048870794487133, + "loss": 1.2366, + "step": 1274 + }, + { + "epoch": 0.37, + "learning_rate": 0.00029032135549550203, + "loss": 1.2781, + "step": 1275 + }, + { + "epoch": 0.37, + "learning_rate": 0.00029015392356576556, + "loss": 1.2501, + "step": 1276 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002899864123029974, + "loss": 1.2104, + "step": 1277 + }, + { + "epoch": 0.37, + "learning_rate": 0.00028981882185460304, + "loss": 1.402, + "step": 1278 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002896511523680575, + "loss": 1.2098, + "step": 1279 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002894834039909055, + "loss": 1.2936, + "step": 1280 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002893155768707612, + "loss": 1.2416, + "step": 1281 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002891476711553077, + "loss": 1.1811, + "step": 1282 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002889796869922977, + "loss": 1.217, + "step": 1283 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002888116245295527, + "loss": 1.2277, + "step": 1284 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002886434839149632, + "loss": 1.3703, + "step": 1285 + }, + { + "epoch": 0.37, + "learning_rate": 0.00028847526529648834, + "loss": 1.4413, + "step": 1286 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002883069688221561, + "loss": 1.3558, + "step": 1287 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002881385946400628, + "loss": 1.2862, + "step": 1288 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002879701428983731, + "loss": 1.1239, + "step": 1289 + }, + { + "epoch": 0.37, + "learning_rate": 0.00028780161374532026, + "loss": 1.2821, + "step": 1290 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002876330073292052, + "loss": 1.4575, + "step": 1291 + }, + { + "epoch": 0.37, + "learning_rate": 0.00028746432379839703, + "loss": 1.256, + "step": 1292 + }, + { + "epoch": 0.37, + "learning_rate": 0.00028729556330133284, + "loss": 1.1911, + "step": 1293 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002871267259865173, + "loss": 1.0427, + "step": 1294 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002869578120025227, + "loss": 1.3246, + "step": 1295 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002867888214979888, + "loss": 1.3458, + "step": 1296 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002866197546216226, + "loss": 1.3394, + "step": 1297 + }, + { + "epoch": 0.38, + "learning_rate": 0.00028645061152219865, + "loss": 1.1475, + "step": 1298 + }, + { + "epoch": 0.38, + "learning_rate": 0.00028628139234855815, + "loss": 1.3651, + "step": 1299 + }, + { + "epoch": 0.38, + "learning_rate": 0.00028611209724960956, + "loss": 1.4035, + "step": 1300 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002859427263743279, + "loss": 1.2352, + "step": 1301 + }, + { + "epoch": 0.38, + "learning_rate": 0.000285773279871755, + "loss": 1.3415, + "step": 1302 + }, + { + "epoch": 0.38, + "learning_rate": 0.00028560375789099936, + "loss": 1.3337, + "step": 1303 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002854341605812357, + "loss": 1.2691, + "step": 1304 + }, + { + "epoch": 0.38, + "learning_rate": 0.000285264488091705, + "loss": 1.2242, + "step": 1305 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002850947405717146, + "loss": 1.267, + "step": 1306 + }, + { + "epoch": 0.38, + "learning_rate": 0.00028492491817063765, + "loss": 1.2977, + "step": 1307 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002847550210379135, + "loss": 1.065, + "step": 1308 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002845850493230469, + "loss": 1.1993, + "step": 1309 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002844150031756085, + "loss": 1.198, + "step": 1310 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002842448827452342, + "loss": 1.1242, + "step": 1311 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002840746881816256, + "loss": 1.1063, + "step": 1312 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002839044196345492, + "loss": 1.2793, + "step": 1313 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002837340772538368, + "loss": 1.3933, + "step": 1314 + }, + { + "epoch": 0.38, + "learning_rate": 0.00028356366118938506, + "loss": 1.2991, + "step": 1315 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002833931715911556, + "loss": 1.3674, + "step": 1316 + }, + { + "epoch": 0.38, + "learning_rate": 0.00028322260860917474, + "loss": 1.181, + "step": 1317 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002830519723935332, + "loss": 1.2209, + "step": 1318 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002828812630943864, + "loss": 1.3288, + "step": 1319 + }, + { + "epoch": 0.38, + "learning_rate": 0.00028271048086195386, + "loss": 1.294, + "step": 1320 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002825396258465193, + "loss": 1.3559, + "step": 1321 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002823686981984307, + "loss": 1.1715, + "step": 1322 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002821976980680996, + "loss": 1.2196, + "step": 1323 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002820266256060018, + "loss": 1.271, + "step": 1324 + }, + { + "epoch": 0.38, + "learning_rate": 0.00028185548096267617, + "loss": 1.5067, + "step": 1325 + }, + { + "epoch": 0.38, + "learning_rate": 0.00028168426428872554, + "loss": 1.3284, + "step": 1326 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002815129757348161, + "loss": 1.2798, + "step": 1327 + }, + { + "epoch": 0.38, + "learning_rate": 0.00028134161545167693, + "loss": 1.3363, + "step": 1328 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002811701835901007, + "loss": 1.2926, + "step": 1329 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002809986803009427, + "loss": 1.1234, + "step": 1330 + }, + { + "epoch": 0.39, + "learning_rate": 0.00028082710573512133, + "loss": 1.2989, + "step": 1331 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002806554600436175, + "loss": 1.3239, + "step": 1332 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002804837433774748, + "loss": 1.46, + "step": 1333 + }, + { + "epoch": 0.39, + "learning_rate": 0.00028031195588779946, + "loss": 1.3381, + "step": 1334 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002801400977257596, + "loss": 1.3373, + "step": 1335 + }, + { + "epoch": 0.39, + "learning_rate": 0.00027996816904258604, + "loss": 1.2269, + "step": 1336 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002797961699895712, + "loss": 1.3315, + "step": 1337 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002796241007180697, + "loss": 1.2946, + "step": 1338 + }, + { + "epoch": 0.39, + "learning_rate": 0.000279451961379498, + "loss": 1.2438, + "step": 1339 + }, + { + "epoch": 0.39, + "learning_rate": 0.00027927975212533386, + "loss": 1.3579, + "step": 1340 + }, + { + "epoch": 0.39, + "learning_rate": 0.000279107473107117, + "loss": 1.1844, + "step": 1341 + }, + { + "epoch": 0.39, + "learning_rate": 0.00027893512447644826, + "loss": 1.2203, + "step": 1342 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002787627063849898, + "loss": 1.1703, + "step": 1343 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002785902189844649, + "loss": 1.3602, + "step": 1344 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002784176624266578, + "loss": 1.2242, + "step": 1345 + }, + { + "epoch": 0.39, + "learning_rate": 0.00027824503686341373, + "loss": 1.2376, + "step": 1346 + }, + { + "epoch": 0.39, + "learning_rate": 0.00027807234244663846, + "loss": 1.2791, + "step": 1347 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002778995793282985, + "loss": 1.4444, + "step": 1348 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002777267476604208, + "loss": 1.1773, + "step": 1349 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002775538475950925, + "loss": 1.3084, + "step": 1350 + }, + { + "epoch": 0.39, + "learning_rate": 0.00027738087928446103, + "loss": 1.3622, + "step": 1351 + }, + { + "epoch": 0.39, + "learning_rate": 0.00027720784288073387, + "loss": 1.3555, + "step": 1352 + }, + { + "epoch": 0.39, + "learning_rate": 0.00027703473853617834, + "loss": 1.2227, + "step": 1353 + }, + { + "epoch": 0.39, + "learning_rate": 0.00027686156640312177, + "loss": 1.304, + "step": 1354 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002766883266339509, + "loss": 1.3173, + "step": 1355 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002765150193811121, + "loss": 1.2876, + "step": 1356 + }, + { + "epoch": 0.39, + "learning_rate": 0.000276341644797111, + "loss": 1.2845, + "step": 1357 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002761682030345126, + "loss": 1.3135, + "step": 1358 + }, + { + "epoch": 0.39, + "learning_rate": 0.00027599469424594117, + "loss": 1.3552, + "step": 1359 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002758211185840796, + "loss": 1.1442, + "step": 1360 + }, + { + "epoch": 0.39, + "learning_rate": 0.00027564747620166985, + "loss": 1.2293, + "step": 1361 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002754737672515126, + "loss": 1.3055, + "step": 1362 + }, + { + "epoch": 0.4, + "learning_rate": 0.00027529999188646707, + "loss": 1.1836, + "step": 1363 + }, + { + "epoch": 0.4, + "learning_rate": 0.00027512615025945076, + "loss": 1.2333, + "step": 1364 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002749522425234398, + "loss": 1.3836, + "step": 1365 + }, + { + "epoch": 0.4, + "learning_rate": 0.00027477826883146836, + "loss": 1.3763, + "step": 1366 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002746042293366284, + "loss": 1.148, + "step": 1367 + }, + { + "epoch": 0.4, + "learning_rate": 0.00027443012419207024, + "loss": 1.2524, + "step": 1368 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002742559535510016, + "loss": 1.1413, + "step": 1369 + }, + { + "epoch": 0.4, + "learning_rate": 0.000274081717566688, + "loss": 1.2911, + "step": 1370 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002739074163924524, + "loss": 1.3519, + "step": 1371 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002737330501816752, + "loss": 1.3324, + "step": 1372 + }, + { + "epoch": 0.4, + "learning_rate": 0.00027355861908779397, + "loss": 1.2163, + "step": 1373 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002733841232643033, + "loss": 1.2817, + "step": 1374 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002732095628647549, + "loss": 1.1298, + "step": 1375 + }, + { + "epoch": 0.4, + "learning_rate": 0.00027303493804275736, + "loss": 1.3882, + "step": 1376 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002728602489519756, + "loss": 1.2812, + "step": 1377 + }, + { + "epoch": 0.4, + "learning_rate": 0.00027268549574613153, + "loss": 1.2963, + "step": 1378 + }, + { + "epoch": 0.4, + "learning_rate": 0.00027251067857900305, + "loss": 1.4427, + "step": 1379 + }, + { + "epoch": 0.4, + "learning_rate": 0.00027233579760442485, + "loss": 1.2234, + "step": 1380 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002721608529762873, + "loss": 1.4004, + "step": 1381 + }, + { + "epoch": 0.4, + "learning_rate": 0.00027198584484853703, + "loss": 1.2462, + "step": 1382 + }, + { + "epoch": 0.4, + "learning_rate": 0.00027181077337517644, + "loss": 1.3864, + "step": 1383 + }, + { + "epoch": 0.4, + "learning_rate": 0.00027163563871026377, + "loss": 1.2195, + "step": 1384 + }, + { + "epoch": 0.4, + "learning_rate": 0.00027146044100791287, + "loss": 1.4295, + "step": 1385 + }, + { + "epoch": 0.4, + "learning_rate": 0.000271285180422293, + "loss": 1.4245, + "step": 1386 + }, + { + "epoch": 0.4, + "learning_rate": 0.00027110985710762864, + "loss": 1.3367, + "step": 1387 + }, + { + "epoch": 0.4, + "learning_rate": 0.00027093447121819984, + "loss": 1.1771, + "step": 1388 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002707590229083412, + "loss": 1.3098, + "step": 1389 + }, + { + "epoch": 0.4, + "learning_rate": 0.00027058351233244266, + "loss": 1.2718, + "step": 1390 + }, + { + "epoch": 0.4, + "learning_rate": 0.00027040793964494883, + "loss": 1.3501, + "step": 1391 + }, + { + "epoch": 0.4, + "learning_rate": 0.000270232305000359, + "loss": 1.2444, + "step": 1392 + }, + { + "epoch": 0.4, + "learning_rate": 0.00027005660855322676, + "loss": 1.4745, + "step": 1393 + }, + { + "epoch": 0.4, + "learning_rate": 0.00026988085045816045, + "loss": 1.2654, + "step": 1394 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002697050308698224, + "loss": 1.2273, + "step": 1395 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002695291499429291, + "loss": 1.1599, + "step": 1396 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002693532078322511, + "loss": 1.228, + "step": 1397 + }, + { + "epoch": 0.41, + "learning_rate": 0.00026917720469261263, + "loss": 1.2249, + "step": 1398 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002690011406788918, + "loss": 1.1718, + "step": 1399 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002688250159460203, + "loss": 1.2489, + "step": 1400 + }, + { + "epoch": 0.41, + "learning_rate": 0.00026864883064898305, + "loss": 1.1626, + "step": 1401 + }, + { + "epoch": 0.41, + "learning_rate": 0.00026847258494281837, + "loss": 1.1026, + "step": 1402 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002682962789826179, + "loss": 1.3496, + "step": 1403 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002681199129235259, + "loss": 1.2368, + "step": 1404 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002679434869207399, + "loss": 1.2877, + "step": 1405 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002677670011295101, + "loss": 1.345, + "step": 1406 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002675904557051392, + "loss": 1.3206, + "step": 1407 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002674138508029824, + "loss": 1.3423, + "step": 1408 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002672371865784474, + "loss": 1.321, + "step": 1409 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002670604631869938, + "loss": 1.3775, + "step": 1410 + }, + { + "epoch": 0.41, + "learning_rate": 0.00026688368078413353, + "loss": 1.3151, + "step": 1411 + }, + { + "epoch": 0.41, + "learning_rate": 0.00026670683952543037, + "loss": 1.4244, + "step": 1412 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002665299395664998, + "loss": 1.1129, + "step": 1413 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002663529810630091, + "loss": 1.2802, + "step": 1414 + }, + { + "epoch": 0.41, + "learning_rate": 0.00026617596417067706, + "loss": 1.2053, + "step": 1415 + }, + { + "epoch": 0.41, + "learning_rate": 0.00026599888904527364, + "loss": 1.3049, + "step": 1416 + }, + { + "epoch": 0.41, + "learning_rate": 0.00026582175584262033, + "loss": 1.3669, + "step": 1417 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002656445647185895, + "loss": 1.2236, + "step": 1418 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002654673158291046, + "loss": 1.28, + "step": 1419 + }, + { + "epoch": 0.41, + "learning_rate": 0.00026529000933013996, + "loss": 1.3546, + "step": 1420 + }, + { + "epoch": 0.41, + "learning_rate": 0.00026511264537772047, + "loss": 1.229, + "step": 1421 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002649352241279216, + "loss": 1.2918, + "step": 1422 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002647577457368694, + "loss": 1.1362, + "step": 1423 + }, + { + "epoch": 0.41, + "learning_rate": 0.00026458021036074005, + "loss": 1.2805, + "step": 1424 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002644026181557599, + "loss": 1.3399, + "step": 1425 + }, + { + "epoch": 0.41, + "learning_rate": 0.00026422496927820525, + "loss": 1.3102, + "step": 1426 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002640472638844025, + "loss": 1.4234, + "step": 1427 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002638695021307275, + "loss": 1.1533, + "step": 1428 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002636916841736058, + "loss": 1.3985, + "step": 1429 + }, + { + "epoch": 0.41, + "learning_rate": 0.00026351381016951253, + "loss": 1.2707, + "step": 1430 + }, + { + "epoch": 0.41, + "learning_rate": 0.00026333588027497196, + "loss": 1.2683, + "step": 1431 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002631578946465577, + "loss": 1.2254, + "step": 1432 + }, + { + "epoch": 0.42, + "learning_rate": 0.00026297985344089217, + "loss": 1.3023, + "step": 1433 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002628017568146471, + "loss": 1.4252, + "step": 1434 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002626236049245425, + "loss": 1.392, + "step": 1435 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002624453979273473, + "loss": 1.2346, + "step": 1436 + }, + { + "epoch": 0.42, + "learning_rate": 0.00026226713597987894, + "loss": 1.4382, + "step": 1437 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002620888192390031, + "loss": 1.2343, + "step": 1438 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002619104478616338, + "loss": 1.469, + "step": 1439 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002617320220047329, + "loss": 1.4174, + "step": 1440 + }, + { + "epoch": 0.42, + "learning_rate": 0.00026155354182531056, + "loss": 1.1898, + "step": 1441 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002613750074804244, + "loss": 1.3007, + "step": 1442 + }, + { + "epoch": 0.42, + "learning_rate": 0.00026119641912717995, + "loss": 1.2316, + "step": 1443 + }, + { + "epoch": 0.42, + "learning_rate": 0.00026101777692273003, + "loss": 1.1826, + "step": 1444 + }, + { + "epoch": 0.42, + "learning_rate": 0.00026083908102427514, + "loss": 1.2212, + "step": 1445 + }, + { + "epoch": 0.42, + "learning_rate": 0.00026066033158906275, + "loss": 1.0836, + "step": 1446 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002604815287743876, + "loss": 1.1287, + "step": 1447 + }, + { + "epoch": 0.42, + "learning_rate": 0.00026030267273759134, + "loss": 1.2268, + "step": 1448 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002601237636360626, + "loss": 1.2117, + "step": 1449 + }, + { + "epoch": 0.42, + "learning_rate": 0.00025994480162723645, + "loss": 1.2665, + "step": 1450 + }, + { + "epoch": 0.42, + "learning_rate": 0.00025976578686859466, + "loss": 1.405, + "step": 1451 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002595867195176655, + "loss": 1.2319, + "step": 1452 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002594075997320234, + "loss": 1.2847, + "step": 1453 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002592284276692889, + "loss": 1.4436, + "step": 1454 + }, + { + "epoch": 0.42, + "learning_rate": 0.00025904920348712864, + "loss": 1.2914, + "step": 1455 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002588699273432551, + "loss": 1.0885, + "step": 1456 + }, + { + "epoch": 0.42, + "learning_rate": 0.00025869059939542647, + "loss": 1.3028, + "step": 1457 + }, + { + "epoch": 0.42, + "learning_rate": 0.00025851121980144647, + "loss": 1.2751, + "step": 1458 + }, + { + "epoch": 0.42, + "learning_rate": 0.00025833178871916446, + "loss": 1.1309, + "step": 1459 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002581523063064748, + "loss": 1.4444, + "step": 1460 + }, + { + "epoch": 0.42, + "learning_rate": 0.00025797277272131736, + "loss": 1.1246, + "step": 1461 + }, + { + "epoch": 0.42, + "learning_rate": 0.00025779318812167674, + "loss": 1.4859, + "step": 1462 + }, + { + "epoch": 0.42, + "learning_rate": 0.00025761355266558264, + "loss": 1.2375, + "step": 1463 + }, + { + "epoch": 0.42, + "learning_rate": 0.00025743386651110945, + "loss": 1.3053, + "step": 1464 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002572541298163761, + "loss": 1.3145, + "step": 1465 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002570743427395461, + "loss": 1.4664, + "step": 1466 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002568945054388272, + "loss": 1.2516, + "step": 1467 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002567146180724714, + "loss": 1.2222, + "step": 1468 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002565346807987748, + "loss": 1.1783, + "step": 1469 + }, + { + "epoch": 0.43, + "learning_rate": 0.00025635469377607736, + "loss": 1.1859, + "step": 1470 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002561746571627629, + "loss": 1.3463, + "step": 1471 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002559945711172587, + "loss": 1.2379, + "step": 1472 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002558144357980355, + "loss": 1.3192, + "step": 1473 + }, + { + "epoch": 0.43, + "learning_rate": 0.00025563425136360785, + "loss": 1.2627, + "step": 1474 + }, + { + "epoch": 0.43, + "learning_rate": 0.00025545401797253303, + "loss": 1.5463, + "step": 1475 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002552737357834116, + "loss": 1.0699, + "step": 1476 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002550934049548871, + "loss": 1.4229, + "step": 1477 + }, + { + "epoch": 0.43, + "learning_rate": 0.00025491302564564577, + "loss": 1.2421, + "step": 1478 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002547325980144166, + "loss": 1.3587, + "step": 1479 + }, + { + "epoch": 0.43, + "learning_rate": 0.00025455212221997097, + "loss": 1.3002, + "step": 1480 + }, + { + "epoch": 0.43, + "learning_rate": 0.00025437159842112286, + "loss": 1.3108, + "step": 1481 + }, + { + "epoch": 0.43, + "learning_rate": 0.00025419102677672826, + "loss": 1.3039, + "step": 1482 + }, + { + "epoch": 0.43, + "learning_rate": 0.00025401040744568547, + "loss": 1.2134, + "step": 1483 + }, + { + "epoch": 0.43, + "learning_rate": 0.00025382974058693456, + "loss": 1.2693, + "step": 1484 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002536490263594575, + "loss": 1.136, + "step": 1485 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002534682649222781, + "loss": 1.3232, + "step": 1486 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002532874564344613, + "loss": 1.3243, + "step": 1487 + }, + { + "epoch": 0.43, + "learning_rate": 0.000253106601055114, + "loss": 1.3572, + "step": 1488 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002529256989433839, + "loss": 1.3136, + "step": 1489 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002527447502584601, + "loss": 1.2716, + "step": 1490 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002525637551595726, + "loss": 1.3324, + "step": 1491 + }, + { + "epoch": 0.43, + "learning_rate": 0.00025238271380599207, + "loss": 1.358, + "step": 1492 + }, + { + "epoch": 0.43, + "learning_rate": 0.00025220162635703023, + "loss": 1.2872, + "step": 1493 + }, + { + "epoch": 0.43, + "learning_rate": 0.000252020492972039, + "loss": 1.2299, + "step": 1494 + }, + { + "epoch": 0.43, + "learning_rate": 0.000251839313810411, + "loss": 1.3384, + "step": 1495 + }, + { + "epoch": 0.43, + "learning_rate": 0.000251658089031579, + "loss": 1.4771, + "step": 1496 + }, + { + "epoch": 0.43, + "learning_rate": 0.000251476818795016, + "loss": 1.3173, + "step": 1497 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002512955032602348, + "loss": 1.2148, + "step": 1498 + }, + { + "epoch": 0.43, + "learning_rate": 0.00025111414258678833, + "loss": 1.2605, + "step": 1499 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002509327369342691, + "loss": 1.1375, + "step": 1500 + }, + { + "epoch": 0.44, + "learning_rate": 0.00025075128646230907, + "loss": 1.1814, + "step": 1501 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002505697913305799, + "loss": 1.2528, + "step": 1502 + }, + { + "epoch": 0.44, + "learning_rate": 0.00025038825169879255, + "loss": 1.2179, + "step": 1503 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002502066677266968, + "loss": 1.2665, + "step": 1504 + }, + { + "epoch": 0.44, + "learning_rate": 0.00025002503957408177, + "loss": 1.2886, + "step": 1505 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002498433674007753, + "loss": 1.186, + "step": 1506 + }, + { + "epoch": 0.44, + "learning_rate": 0.00024966165136664414, + "loss": 1.2297, + "step": 1507 + }, + { + "epoch": 0.44, + "learning_rate": 0.00024947989163159347, + "loss": 1.4288, + "step": 1508 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002492980883555669, + "loss": 1.3706, + "step": 1509 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002491162416985465, + "loss": 1.396, + "step": 1510 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002489343518205525, + "loss": 1.255, + "step": 1511 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002487524188816429, + "loss": 1.498, + "step": 1512 + }, + { + "epoch": 0.44, + "learning_rate": 0.00024857044304191407, + "loss": 1.4793, + "step": 1513 + }, + { + "epoch": 0.44, + "learning_rate": 0.00024838842446149963, + "loss": 1.3647, + "step": 1514 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002482063633005712, + "loss": 1.0928, + "step": 1515 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002480242597193376, + "loss": 1.2955, + "step": 1516 + }, + { + "epoch": 0.44, + "learning_rate": 0.00024784211387804525, + "loss": 1.225, + "step": 1517 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002476599259369775, + "loss": 1.2221, + "step": 1518 + }, + { + "epoch": 0.44, + "learning_rate": 0.00024747769605645473, + "loss": 1.2738, + "step": 1519 + }, + { + "epoch": 0.44, + "learning_rate": 0.00024729542439683454, + "loss": 1.3595, + "step": 1520 + }, + { + "epoch": 0.44, + "learning_rate": 0.00024711311111851096, + "loss": 1.3011, + "step": 1521 + }, + { + "epoch": 0.44, + "learning_rate": 0.00024693075638191486, + "loss": 1.156, + "step": 1522 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002467483603475135, + "loss": 1.3377, + "step": 1523 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002465659231758104, + "loss": 1.1649, + "step": 1524 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002463834450273455, + "loss": 1.2601, + "step": 1525 + }, + { + "epoch": 0.44, + "learning_rate": 0.00024620092606269465, + "loss": 1.2853, + "step": 1526 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002460183664424695, + "loss": 1.1838, + "step": 1527 + }, + { + "epoch": 0.44, + "learning_rate": 0.00024583576632731776, + "loss": 1.039, + "step": 1528 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002456531258779226, + "loss": 1.2585, + "step": 1529 + }, + { + "epoch": 0.44, + "learning_rate": 0.00024547044525500265, + "loss": 1.373, + "step": 1530 + }, + { + "epoch": 0.44, + "learning_rate": 0.000245287724619312, + "loss": 1.3463, + "step": 1531 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002451049641316399, + "loss": 1.4139, + "step": 1532 + }, + { + "epoch": 0.44, + "learning_rate": 0.00024492216395281076, + "loss": 1.3381, + "step": 1533 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002447393242436836, + "loss": 1.3236, + "step": 1534 + }, + { + "epoch": 0.44, + "learning_rate": 0.00024455644516515273, + "loss": 1.2707, + "step": 1535 + }, + { + "epoch": 0.45, + "learning_rate": 0.00024437352687814657, + "loss": 1.3322, + "step": 1536 + }, + { + "epoch": 0.45, + "learning_rate": 0.00024419056954362844, + "loss": 1.2577, + "step": 1537 + }, + { + "epoch": 0.45, + "learning_rate": 0.00024400757332259586, + "loss": 1.2023, + "step": 1538 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002438245383760806, + "loss": 1.2588, + "step": 1539 + }, + { + "epoch": 0.45, + "learning_rate": 0.00024364146486514853, + "loss": 1.2778, + "step": 1540 + }, + { + "epoch": 0.45, + "learning_rate": 0.00024345835295089927, + "loss": 1.38, + "step": 1541 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002432752027944666, + "loss": 1.2384, + "step": 1542 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002430920145570176, + "loss": 1.1527, + "step": 1543 + }, + { + "epoch": 0.45, + "learning_rate": 0.00024290878839975305, + "loss": 1.2395, + "step": 1544 + }, + { + "epoch": 0.45, + "learning_rate": 0.00024272552448390697, + "loss": 1.4901, + "step": 1545 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002425422229707468, + "loss": 1.1814, + "step": 1546 + }, + { + "epoch": 0.45, + "learning_rate": 0.00024235888402157293, + "loss": 1.2667, + "step": 1547 + }, + { + "epoch": 0.45, + "learning_rate": 0.00024217550779771858, + "loss": 1.3515, + "step": 1548 + }, + { + "epoch": 0.45, + "learning_rate": 0.00024199209446055004, + "loss": 1.3413, + "step": 1549 + }, + { + "epoch": 0.45, + "learning_rate": 0.00024180864417146613, + "loss": 1.4546, + "step": 1550 + }, + { + "epoch": 0.45, + "learning_rate": 0.00024162515709189812, + "loss": 1.2312, + "step": 1551 + }, + { + "epoch": 0.45, + "learning_rate": 0.00024144163338330965, + "loss": 1.0816, + "step": 1552 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002412580732071968, + "loss": 1.3829, + "step": 1553 + }, + { + "epoch": 0.45, + "learning_rate": 0.00024107447672508747, + "loss": 1.1685, + "step": 1554 + }, + { + "epoch": 0.45, + "learning_rate": 0.00024089084409854175, + "loss": 1.2811, + "step": 1555 + }, + { + "epoch": 0.45, + "learning_rate": 0.00024070717548915126, + "loss": 1.2654, + "step": 1556 + }, + { + "epoch": 0.45, + "learning_rate": 0.00024052347105853962, + "loss": 1.3404, + "step": 1557 + }, + { + "epoch": 0.45, + "learning_rate": 0.00024033973096836166, + "loss": 1.3266, + "step": 1558 + }, + { + "epoch": 0.45, + "learning_rate": 0.00024015595538030385, + "loss": 1.2525, + "step": 1559 + }, + { + "epoch": 0.45, + "learning_rate": 0.00023997214445608362, + "loss": 1.2767, + "step": 1560 + }, + { + "epoch": 0.45, + "learning_rate": 0.00023978829835744975, + "loss": 1.2979, + "step": 1561 + }, + { + "epoch": 0.45, + "learning_rate": 0.00023960441724618195, + "loss": 1.2431, + "step": 1562 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002394205012840904, + "loss": 1.2869, + "step": 1563 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002392365506330165, + "loss": 1.199, + "step": 1564 + }, + { + "epoch": 0.45, + "learning_rate": 0.00023905256545483168, + "loss": 1.3731, + "step": 1565 + }, + { + "epoch": 0.45, + "learning_rate": 0.00023886854591143798, + "loss": 1.2633, + "step": 1566 + }, + { + "epoch": 0.45, + "learning_rate": 0.00023868449216476778, + "loss": 1.2219, + "step": 1567 + }, + { + "epoch": 0.45, + "learning_rate": 0.00023850040437678333, + "loss": 1.2433, + "step": 1568 + }, + { + "epoch": 0.45, + "learning_rate": 0.000238316282709477, + "loss": 1.2935, + "step": 1569 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002381321273248708, + "loss": 1.2649, + "step": 1570 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023794793838501663, + "loss": 1.3732, + "step": 1571 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023776371605199582, + "loss": 1.2717, + "step": 1572 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023757946048791903, + "loss": 1.3932, + "step": 1573 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023739517185492618, + "loss": 1.3593, + "step": 1574 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023721085031518636, + "loss": 1.2325, + "step": 1575 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023702649603089758, + "loss": 1.3133, + "step": 1576 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023684210916428665, + "loss": 1.3409, + "step": 1577 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023665768987760904, + "loss": 1.4334, + "step": 1578 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002364732383331488, + "loss": 1.1466, + "step": 1579 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023628875469321834, + "loss": 1.2477, + "step": 1580 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023610423912015827, + "loss": 1.3581, + "step": 1581 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023591969177633737, + "loss": 1.2247, + "step": 1582 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023573511282415227, + "loss": 1.1193, + "step": 1583 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023555050242602765, + "loss": 1.4805, + "step": 1584 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023536586074441557, + "loss": 1.2427, + "step": 1585 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023518118794179586, + "loss": 1.2371, + "step": 1586 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002349964841806755, + "loss": 1.3099, + "step": 1587 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023481174962358884, + "loss": 1.1764, + "step": 1588 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002346269844330975, + "loss": 1.3289, + "step": 1589 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023444218877178972, + "loss": 1.1783, + "step": 1590 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023425736280228073, + "loss": 1.2568, + "step": 1591 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023407250668721252, + "loss": 1.1521, + "step": 1592 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002338876205892534, + "loss": 1.2124, + "step": 1593 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023370270467109835, + "loss": 1.1642, + "step": 1594 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002335177590954681, + "loss": 1.2952, + "step": 1595 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023333278402511013, + "loss": 1.3528, + "step": 1596 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002331477796227973, + "loss": 1.2231, + "step": 1597 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023296274605132862, + "loss": 1.2521, + "step": 1598 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002327776834735286, + "loss": 1.2415, + "step": 1599 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023259259205224737, + "loss": 1.4175, + "step": 1600 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023240747195036048, + "loss": 1.4344, + "step": 1601 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002322223233307685, + "loss": 1.0662, + "step": 1602 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023203714635639742, + "loss": 1.2483, + "step": 1603 + }, + { + "epoch": 0.46, + "learning_rate": 0.00023185194119019787, + "loss": 1.2279, + "step": 1604 + }, + { + "epoch": 0.47, + "learning_rate": 0.00023166670799514542, + "loss": 1.3382, + "step": 1605 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002314814469342404, + "loss": 1.2369, + "step": 1606 + }, + { + "epoch": 0.47, + "learning_rate": 0.00023129615817050748, + "loss": 1.3321, + "step": 1607 + }, + { + "epoch": 0.47, + "learning_rate": 0.00023111084186699582, + "loss": 1.19, + "step": 1608 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002309254981867789, + "loss": 1.3365, + "step": 1609 + }, + { + "epoch": 0.47, + "learning_rate": 0.000230740127292954, + "loss": 1.3058, + "step": 1610 + }, + { + "epoch": 0.47, + "learning_rate": 0.00023055472934864265, + "loss": 1.2124, + "step": 1611 + }, + { + "epoch": 0.47, + "learning_rate": 0.00023036930451699004, + "loss": 1.1486, + "step": 1612 + }, + { + "epoch": 0.47, + "learning_rate": 0.00023018385296116498, + "loss": 1.2061, + "step": 1613 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022999837484435993, + "loss": 1.3723, + "step": 1614 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022981287032979063, + "loss": 1.4198, + "step": 1615 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022962733958069613, + "loss": 1.2578, + "step": 1616 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022944178276033833, + "loss": 1.2816, + "step": 1617 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022925620003200247, + "loss": 1.4694, + "step": 1618 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002290705915589962, + "loss": 1.3997, + "step": 1619 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022888495750465006, + "loss": 1.3305, + "step": 1620 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022869929803231705, + "loss": 1.2784, + "step": 1621 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002285136133053725, + "loss": 1.2551, + "step": 1622 + }, + { + "epoch": 0.47, + "learning_rate": 0.000228327903487214, + "loss": 1.2356, + "step": 1623 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022814216874126114, + "loss": 1.0749, + "step": 1624 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022795640923095554, + "loss": 1.2624, + "step": 1625 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022777062511976067, + "loss": 1.3135, + "step": 1626 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022758481657116143, + "loss": 1.3176, + "step": 1627 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022739898374866436, + "loss": 1.1743, + "step": 1628 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022721312681579745, + "loss": 1.237, + "step": 1629 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002270272459361097, + "loss": 1.3762, + "step": 1630 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002268413412731714, + "loss": 1.3103, + "step": 1631 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022665541299057363, + "loss": 1.2611, + "step": 1632 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022646946125192826, + "loss": 1.4042, + "step": 1633 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022628348622086782, + "loss": 1.2531, + "step": 1634 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022609748806104533, + "loss": 1.1799, + "step": 1635 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022591146693613418, + "loss": 1.0764, + "step": 1636 + }, + { + "epoch": 0.47, + "learning_rate": 0.000225725423009828, + "loss": 1.2878, + "step": 1637 + }, + { + "epoch": 0.47, + "learning_rate": 0.00022553935644584048, + "loss": 1.3434, + "step": 1638 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002253532674079051, + "loss": 1.3413, + "step": 1639 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002251671560597753, + "loss": 1.2488, + "step": 1640 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022498102256522407, + "loss": 1.2143, + "step": 1641 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022479486708804376, + "loss": 1.2988, + "step": 1642 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022460868979204635, + "loss": 1.4368, + "step": 1643 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022442249084106278, + "loss": 1.1675, + "step": 1644 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022423627039894317, + "loss": 1.1322, + "step": 1645 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002240500286295564, + "loss": 1.2587, + "step": 1646 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022386376569679035, + "loss": 1.2603, + "step": 1647 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002236774817645514, + "loss": 1.3065, + "step": 1648 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022349117699676426, + "loss": 1.2715, + "step": 1649 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022330485155737232, + "loss": 1.3207, + "step": 1650 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022311850561033682, + "loss": 1.1798, + "step": 1651 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022293213931963725, + "loss": 1.2045, + "step": 1652 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002227457528492709, + "loss": 1.1409, + "step": 1653 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022255934636325288, + "loss": 1.2178, + "step": 1654 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022237292002561597, + "loss": 1.2155, + "step": 1655 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022218647400041016, + "loss": 1.2181, + "step": 1656 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022200000845170315, + "loss": 1.1984, + "step": 1657 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022181352354357946, + "loss": 1.2853, + "step": 1658 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022162701944014086, + "loss": 1.2788, + "step": 1659 + }, + { + "epoch": 0.48, + "learning_rate": 0.000221440496305506, + "loss": 1.2327, + "step": 1660 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022125395430381013, + "loss": 1.2452, + "step": 1661 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002210673935992053, + "loss": 1.0371, + "step": 1662 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022088081435585978, + "loss": 1.1435, + "step": 1663 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022069421673795843, + "loss": 1.2373, + "step": 1664 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022050760090970215, + "loss": 1.257, + "step": 1665 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002203209670353078, + "loss": 1.2781, + "step": 1666 + }, + { + "epoch": 0.48, + "learning_rate": 0.00022013431527900812, + "loss": 1.1342, + "step": 1667 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002199476458050517, + "loss": 1.2176, + "step": 1668 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002197609587777027, + "loss": 1.2025, + "step": 1669 + }, + { + "epoch": 0.48, + "learning_rate": 0.00021957425436124072, + "loss": 1.2804, + "step": 1670 + }, + { + "epoch": 0.48, + "learning_rate": 0.00021938753271996046, + "loss": 1.0952, + "step": 1671 + }, + { + "epoch": 0.48, + "learning_rate": 0.00021920079401817216, + "loss": 1.2449, + "step": 1672 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002190140384202007, + "loss": 1.2866, + "step": 1673 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002188272660903861, + "loss": 1.2772, + "step": 1674 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002186404771930829, + "loss": 1.3276, + "step": 1675 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021845367189266042, + "loss": 1.2041, + "step": 1676 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021826685035350227, + "loss": 1.2675, + "step": 1677 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021808001274000626, + "loss": 1.244, + "step": 1678 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002178931592165847, + "loss": 1.3775, + "step": 1679 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002177062899476635, + "loss": 1.2603, + "step": 1680 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002175194050976826, + "loss": 1.2707, + "step": 1681 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021733250483109578, + "loss": 1.3891, + "step": 1682 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021714558931237017, + "loss": 1.1821, + "step": 1683 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021695865870598638, + "loss": 1.3482, + "step": 1684 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021677171317643836, + "loss": 1.208, + "step": 1685 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021658475288823317, + "loss": 1.2911, + "step": 1686 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021639777800589084, + "loss": 1.4132, + "step": 1687 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002162107886939442, + "loss": 1.2284, + "step": 1688 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021602378511693888, + "loss": 1.2242, + "step": 1689 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021583676743943295, + "loss": 0.9711, + "step": 1690 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021564973582599697, + "loss": 1.2089, + "step": 1691 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021546269044121376, + "loss": 1.3476, + "step": 1692 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002152756314496782, + "loss": 1.3041, + "step": 1693 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021508855901599723, + "loss": 1.3109, + "step": 1694 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021490147330478952, + "loss": 1.1583, + "step": 1695 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021471437448068547, + "loss": 1.2687, + "step": 1696 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021452726270832702, + "loss": 1.2888, + "step": 1697 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021434013815236754, + "loss": 1.3057, + "step": 1698 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021415300097747157, + "loss": 1.3882, + "step": 1699 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021396585134831483, + "loss": 1.3033, + "step": 1700 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021377868942958398, + "loss": 1.1855, + "step": 1701 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021359151538597647, + "loss": 1.3596, + "step": 1702 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021340432938220038, + "loss": 1.3835, + "step": 1703 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021321713158297447, + "loss": 1.2502, + "step": 1704 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021302992215302768, + "loss": 1.3437, + "step": 1705 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002128427012570993, + "loss": 1.3033, + "step": 1706 + }, + { + "epoch": 0.49, + "learning_rate": 0.00021265546905993872, + "loss": 1.0176, + "step": 1707 + }, + { + "epoch": 0.5, + "learning_rate": 0.00021246822572630521, + "loss": 1.2505, + "step": 1708 + }, + { + "epoch": 0.5, + "learning_rate": 0.00021228097142096802, + "loss": 1.2274, + "step": 1709 + }, + { + "epoch": 0.5, + "learning_rate": 0.00021209370630870562, + "loss": 1.1612, + "step": 1710 + }, + { + "epoch": 0.5, + "learning_rate": 0.00021190643055430655, + "loss": 1.2879, + "step": 1711 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002117191443225683, + "loss": 1.2691, + "step": 1712 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002115318477782978, + "loss": 1.2698, + "step": 1713 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002113445410863109, + "loss": 1.1628, + "step": 1714 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002111572244114325, + "loss": 1.2225, + "step": 1715 + }, + { + "epoch": 0.5, + "learning_rate": 0.00021096989791849632, + "loss": 1.4484, + "step": 1716 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002107825617723445, + "loss": 1.2193, + "step": 1717 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002105952161378279, + "loss": 1.2302, + "step": 1718 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002104078611798057, + "loss": 1.1346, + "step": 1719 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002102204970631451, + "loss": 1.3832, + "step": 1720 + }, + { + "epoch": 0.5, + "learning_rate": 0.00021003312395272155, + "loss": 1.0992, + "step": 1721 + }, + { + "epoch": 0.5, + "learning_rate": 0.00020984574201341838, + "loss": 1.1517, + "step": 1722 + }, + { + "epoch": 0.5, + "learning_rate": 0.00020965835141012668, + "loss": 1.1362, + "step": 1723 + }, + { + "epoch": 0.5, + "learning_rate": 0.00020947095230774512, + "loss": 1.3007, + "step": 1724 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002092835448711798, + "loss": 1.3205, + "step": 1725 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002090961292653444, + "loss": 1.2617, + "step": 1726 + }, + { + "epoch": 0.5, + "learning_rate": 0.00020890870565515944, + "loss": 1.1763, + "step": 1727 + }, + { + "epoch": 0.5, + "learning_rate": 0.00020872127420555278, + "loss": 1.326, + "step": 1728 + }, + { + "epoch": 0.5, + "learning_rate": 0.00020853383508145904, + "loss": 1.3401, + "step": 1729 + }, + { + "epoch": 0.5, + "learning_rate": 0.00020834638844781958, + "loss": 1.35, + "step": 1730 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002081589344695825, + "loss": 1.3658, + "step": 1731 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002079714733117021, + "loss": 1.1912, + "step": 1732 + }, + { + "epoch": 0.5, + "learning_rate": 0.00020778400513913936, + "loss": 1.2274, + "step": 1733 + }, + { + "epoch": 0.5, + "learning_rate": 0.00020759653011686108, + "loss": 1.3335, + "step": 1734 + }, + { + "epoch": 0.5, + "learning_rate": 0.00020740904840984024, + "loss": 1.448, + "step": 1735 + }, + { + "epoch": 0.5, + "learning_rate": 0.00020722156018305587, + "loss": 1.2446, + "step": 1736 + }, + { + "epoch": 0.5, + "learning_rate": 0.00020703406560149246, + "loss": 1.2779, + "step": 1737 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002068465648301402, + "loss": 1.2144, + "step": 1738 + }, + { + "epoch": 0.5, + "learning_rate": 0.00020665905803399475, + "loss": 1.2173, + "step": 1739 + }, + { + "epoch": 0.5, + "learning_rate": 0.00020647154537805707, + "loss": 1.2191, + "step": 1740 + }, + { + "epoch": 0.5, + "learning_rate": 0.00020628402702733333, + "loss": 1.3689, + "step": 1741 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020609650314683443, + "loss": 1.2727, + "step": 1742 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020590897390157658, + "loss": 1.204, + "step": 1743 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020572143945658033, + "loss": 1.0915, + "step": 1744 + }, + { + "epoch": 0.51, + "learning_rate": 0.000205533899976871, + "loss": 1.1278, + "step": 1745 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020534635562747836, + "loss": 1.296, + "step": 1746 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020515880657343626, + "loss": 1.2309, + "step": 1747 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020497125297978306, + "loss": 1.2488, + "step": 1748 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002047836950115606, + "loss": 1.3245, + "step": 1749 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020459613283381508, + "loss": 1.2342, + "step": 1750 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020440856661159607, + "loss": 1.3295, + "step": 1751 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020422099650995682, + "loss": 1.2263, + "step": 1752 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020403342269395398, + "loss": 1.2933, + "step": 1753 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020384584532864755, + "loss": 1.2176, + "step": 1754 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002036582645791005, + "loss": 1.1661, + "step": 1755 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020347068061037882, + "loss": 1.1245, + "step": 1756 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020328309358755138, + "loss": 1.0989, + "step": 1757 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020309550367568987, + "loss": 1.3625, + "step": 1758 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020290791103986817, + "loss": 1.2103, + "step": 1759 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020272031584516283, + "loss": 1.2691, + "step": 1760 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020253271825665262, + "loss": 1.1926, + "step": 1761 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020234511843941842, + "loss": 1.2589, + "step": 1762 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020215751655854294, + "loss": 1.2766, + "step": 1763 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020196991277911076, + "loss": 1.3038, + "step": 1764 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020178230726620834, + "loss": 1.4479, + "step": 1765 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020159470018492334, + "loss": 1.2686, + "step": 1766 + }, + { + "epoch": 0.51, + "learning_rate": 0.000201407091700345, + "loss": 1.2697, + "step": 1767 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020121948197756378, + "loss": 1.2278, + "step": 1768 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020103187118167113, + "loss": 1.3453, + "step": 1769 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020084425947775964, + "loss": 1.3718, + "step": 1770 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020065664703092234, + "loss": 1.2697, + "step": 1771 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020046903400625337, + "loss": 1.3464, + "step": 1772 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020028142056884707, + "loss": 1.1875, + "step": 1773 + }, + { + "epoch": 0.51, + "learning_rate": 0.00020009380688379823, + "loss": 1.1808, + "step": 1774 + }, + { + "epoch": 0.51, + "learning_rate": 0.00019990619311620187, + "loss": 1.4971, + "step": 1775 + }, + { + "epoch": 0.51, + "learning_rate": 0.00019971857943115298, + "loss": 1.3897, + "step": 1776 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019953096599374665, + "loss": 1.1833, + "step": 1777 + }, + { + "epoch": 0.52, + "learning_rate": 0.0001993433529690777, + "loss": 1.2285, + "step": 1778 + }, + { + "epoch": 0.52, + "learning_rate": 0.0001991557405222404, + "loss": 1.1576, + "step": 1779 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019896812881832886, + "loss": 1.3432, + "step": 1780 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019878051802243627, + "loss": 1.2711, + "step": 1781 + }, + { + "epoch": 0.52, + "learning_rate": 0.000198592908299655, + "loss": 1.2324, + "step": 1782 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019840529981507673, + "loss": 1.1896, + "step": 1783 + }, + { + "epoch": 0.52, + "learning_rate": 0.0001982176927337917, + "loss": 1.3337, + "step": 1784 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019803008722088923, + "loss": 1.1819, + "step": 1785 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019784248344145713, + "loss": 1.1241, + "step": 1786 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019765488156058163, + "loss": 1.1671, + "step": 1787 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019746728174334735, + "loss": 1.4065, + "step": 1788 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019727968415483719, + "loss": 1.1221, + "step": 1789 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019709208896013188, + "loss": 1.4375, + "step": 1790 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019690449632431015, + "loss": 1.1551, + "step": 1791 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019671690641244867, + "loss": 1.2459, + "step": 1792 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019652931938962122, + "loss": 1.1629, + "step": 1793 + }, + { + "epoch": 0.52, + "learning_rate": 0.0001963417354208996, + "loss": 1.3189, + "step": 1794 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019615415467135253, + "loss": 1.2855, + "step": 1795 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019596657730604599, + "loss": 1.1692, + "step": 1796 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019577900349004328, + "loss": 1.2151, + "step": 1797 + }, + { + "epoch": 0.52, + "learning_rate": 0.000195591433388404, + "loss": 1.1155, + "step": 1798 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019540386716618497, + "loss": 1.1559, + "step": 1799 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019521630498843946, + "loss": 1.265, + "step": 1800 + }, + { + "epoch": 0.52, + "learning_rate": 0.000195028747020217, + "loss": 1.3046, + "step": 1801 + }, + { + "epoch": 0.52, + "learning_rate": 0.0001948411934265637, + "loss": 1.1584, + "step": 1802 + }, + { + "epoch": 0.52, + "learning_rate": 0.0001946536443725217, + "loss": 1.2032, + "step": 1803 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019446610002312904, + "loss": 1.2944, + "step": 1804 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019427856054341977, + "loss": 1.204, + "step": 1805 + }, + { + "epoch": 0.52, + "learning_rate": 0.0001940910260984235, + "loss": 1.1544, + "step": 1806 + }, + { + "epoch": 0.52, + "learning_rate": 0.0001939034968531656, + "loss": 1.2579, + "step": 1807 + }, + { + "epoch": 0.52, + "learning_rate": 0.0001937159729726668, + "loss": 1.0909, + "step": 1808 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019352845462194298, + "loss": 1.3664, + "step": 1809 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019334094196600524, + "loss": 1.1503, + "step": 1810 + }, + { + "epoch": 0.53, + "learning_rate": 0.00019315343516985984, + "loss": 1.34, + "step": 1811 + }, + { + "epoch": 0.53, + "learning_rate": 0.0001929659343985076, + "loss": 1.2586, + "step": 1812 + }, + { + "epoch": 0.53, + "learning_rate": 0.00019277843981694413, + "loss": 1.3166, + "step": 1813 + }, + { + "epoch": 0.53, + "learning_rate": 0.0001925909515901598, + "loss": 1.2709, + "step": 1814 + }, + { + "epoch": 0.53, + "learning_rate": 0.00019240346988313897, + "loss": 1.3008, + "step": 1815 + }, + { + "epoch": 0.53, + "learning_rate": 0.00019221599486086071, + "loss": 1.1732, + "step": 1816 + }, + { + "epoch": 0.53, + "learning_rate": 0.00019202852668829797, + "loss": 1.1985, + "step": 1817 + }, + { + "epoch": 0.53, + "learning_rate": 0.00019184106553041754, + "loss": 1.2671, + "step": 1818 + }, + { + "epoch": 0.53, + "learning_rate": 0.00019165361155218044, + "loss": 1.4103, + "step": 1819 + }, + { + "epoch": 0.53, + "learning_rate": 0.000191466164918541, + "loss": 1.1864, + "step": 1820 + }, + { + "epoch": 0.53, + "learning_rate": 0.00019127872579444727, + "loss": 1.215, + "step": 1821 + }, + { + "epoch": 0.53, + "learning_rate": 0.00019109129434484063, + "loss": 1.0866, + "step": 1822 + }, + { + "epoch": 0.53, + "learning_rate": 0.00019090387073465565, + "loss": 1.1126, + "step": 1823 + }, + { + "epoch": 0.53, + "learning_rate": 0.00019071645512882022, + "loss": 1.2809, + "step": 1824 + }, + { + "epoch": 0.53, + "learning_rate": 0.00019052904769225498, + "loss": 1.1704, + "step": 1825 + }, + { + "epoch": 0.53, + "learning_rate": 0.0001903416485898734, + "loss": 1.2752, + "step": 1826 + }, + { + "epoch": 0.53, + "learning_rate": 0.00019015425798658158, + "loss": 1.2683, + "step": 1827 + }, + { + "epoch": 0.53, + "learning_rate": 0.00018996687604727847, + "loss": 1.1622, + "step": 1828 + }, + { + "epoch": 0.53, + "learning_rate": 0.00018977950293685492, + "loss": 1.3076, + "step": 1829 + }, + { + "epoch": 0.53, + "learning_rate": 0.0001895921388201944, + "loss": 1.3259, + "step": 1830 + }, + { + "epoch": 0.53, + "learning_rate": 0.00018940478386217214, + "loss": 1.2067, + "step": 1831 + }, + { + "epoch": 0.53, + "learning_rate": 0.00018921743822765549, + "loss": 1.231, + "step": 1832 + }, + { + "epoch": 0.53, + "learning_rate": 0.00018903010208150376, + "loss": 1.1243, + "step": 1833 + }, + { + "epoch": 0.53, + "learning_rate": 0.0001888427755885675, + "loss": 1.2191, + "step": 1834 + }, + { + "epoch": 0.53, + "learning_rate": 0.0001886554589136891, + "loss": 1.2055, + "step": 1835 + }, + { + "epoch": 0.53, + "learning_rate": 0.00018846815222170227, + "loss": 1.2521, + "step": 1836 + }, + { + "epoch": 0.53, + "learning_rate": 0.00018828085567743172, + "loss": 1.3047, + "step": 1837 + }, + { + "epoch": 0.53, + "learning_rate": 0.00018809356944569347, + "loss": 1.3104, + "step": 1838 + }, + { + "epoch": 0.53, + "learning_rate": 0.00018790629369129443, + "loss": 1.3183, + "step": 1839 + }, + { + "epoch": 0.53, + "learning_rate": 0.00018771902857903205, + "loss": 1.319, + "step": 1840 + }, + { + "epoch": 0.53, + "learning_rate": 0.0001875317742736948, + "loss": 1.2781, + "step": 1841 + }, + { + "epoch": 0.53, + "learning_rate": 0.0001873445309400613, + "loss": 1.2302, + "step": 1842 + }, + { + "epoch": 0.53, + "learning_rate": 0.00018715729874290072, + "loss": 1.2587, + "step": 1843 + }, + { + "epoch": 0.53, + "learning_rate": 0.0001869700778469724, + "loss": 1.2196, + "step": 1844 + }, + { + "epoch": 0.53, + "learning_rate": 0.00018678286841702557, + "loss": 1.1679, + "step": 1845 + }, + { + "epoch": 0.54, + "learning_rate": 0.0001865956706177996, + "loss": 1.2004, + "step": 1846 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018640848461402357, + "loss": 1.1903, + "step": 1847 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018622131057041604, + "loss": 1.2346, + "step": 1848 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018603414865168513, + "loss": 1.1841, + "step": 1849 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018584699902252848, + "loss": 1.285, + "step": 1850 + }, + { + "epoch": 0.54, + "learning_rate": 0.0001856598618476325, + "loss": 1.129, + "step": 1851 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018547273729167295, + "loss": 1.3469, + "step": 1852 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018528562551931455, + "loss": 1.1996, + "step": 1853 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018509852669521053, + "loss": 1.2382, + "step": 1854 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018491144098400285, + "loss": 1.1282, + "step": 1855 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018472436855032184, + "loss": 1.2367, + "step": 1856 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018453730955878626, + "loss": 1.313, + "step": 1857 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018435026417400308, + "loss": 1.1984, + "step": 1858 + }, + { + "epoch": 0.54, + "learning_rate": 0.0001841632325605671, + "loss": 1.2781, + "step": 1859 + }, + { + "epoch": 0.54, + "learning_rate": 0.0001839762148830612, + "loss": 1.3216, + "step": 1860 + }, + { + "epoch": 0.54, + "learning_rate": 0.0001837892113060559, + "loss": 1.3867, + "step": 1861 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018360222199410918, + "loss": 1.271, + "step": 1862 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018341524711176684, + "loss": 1.2565, + "step": 1863 + }, + { + "epoch": 0.54, + "learning_rate": 0.0001832282868235617, + "loss": 1.1966, + "step": 1864 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018304134129401366, + "loss": 1.1986, + "step": 1865 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018285441068762993, + "loss": 1.395, + "step": 1866 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018266749516890424, + "loss": 1.2065, + "step": 1867 + }, + { + "epoch": 0.54, + "learning_rate": 0.0001824805949023174, + "loss": 1.1612, + "step": 1868 + }, + { + "epoch": 0.54, + "learning_rate": 0.0001822937100523366, + "loss": 1.2618, + "step": 1869 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018210684078341535, + "loss": 1.1181, + "step": 1870 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018191998725999373, + "loss": 1.2668, + "step": 1871 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018173314964649783, + "loss": 1.2307, + "step": 1872 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018154632810733962, + "loss": 1.3796, + "step": 1873 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018135952280691708, + "loss": 1.2441, + "step": 1874 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018117273390961397, + "loss": 1.3401, + "step": 1875 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018098596157979934, + "loss": 1.1781, + "step": 1876 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018079920598182794, + "loss": 1.2586, + "step": 1877 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018061246728003958, + "loss": 1.2424, + "step": 1878 + }, + { + "epoch": 0.54, + "learning_rate": 0.00018042574563875935, + "loss": 1.2856, + "step": 1879 + }, + { + "epoch": 0.55, + "learning_rate": 0.00018023904122229734, + "loss": 1.2349, + "step": 1880 + }, + { + "epoch": 0.55, + "learning_rate": 0.00018005235419494832, + "loss": 1.2043, + "step": 1881 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017986568472099196, + "loss": 1.3362, + "step": 1882 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017967903296469234, + "loss": 1.2164, + "step": 1883 + }, + { + "epoch": 0.55, + "learning_rate": 0.0001794923990902979, + "loss": 1.1486, + "step": 1884 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017930578326204156, + "loss": 1.3329, + "step": 1885 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017911918564414027, + "loss": 1.0274, + "step": 1886 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017893260640079473, + "loss": 1.3219, + "step": 1887 + }, + { + "epoch": 0.55, + "learning_rate": 0.0001787460456961899, + "loss": 1.2519, + "step": 1888 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017855950369449408, + "loss": 1.2589, + "step": 1889 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017837298055985916, + "loss": 1.3642, + "step": 1890 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017818647645642061, + "loss": 0.9672, + "step": 1891 + }, + { + "epoch": 0.55, + "learning_rate": 0.0001779999915482969, + "loss": 1.2383, + "step": 1892 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017781352599958983, + "loss": 1.3419, + "step": 1893 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017762707997438413, + "loss": 1.2397, + "step": 1894 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017744065363674717, + "loss": 1.221, + "step": 1895 + }, + { + "epoch": 0.55, + "learning_rate": 0.0001772542471507291, + "loss": 1.3259, + "step": 1896 + }, + { + "epoch": 0.55, + "learning_rate": 0.0001770678606803628, + "loss": 1.3263, + "step": 1897 + }, + { + "epoch": 0.55, + "learning_rate": 0.0001768814943896632, + "loss": 1.2401, + "step": 1898 + }, + { + "epoch": 0.55, + "learning_rate": 0.0001766951484426277, + "loss": 1.176, + "step": 1899 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017650882300323576, + "loss": 1.2862, + "step": 1900 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017632251823544866, + "loss": 1.2146, + "step": 1901 + }, + { + "epoch": 0.55, + "learning_rate": 0.0001761362343032097, + "loss": 1.2925, + "step": 1902 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017594997137044364, + "loss": 1.281, + "step": 1903 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017576372960105687, + "loss": 1.0849, + "step": 1904 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017557750915893732, + "loss": 1.3125, + "step": 1905 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017539131020795367, + "loss": 1.1598, + "step": 1906 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017520513291195626, + "loss": 1.204, + "step": 1907 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017501897743477603, + "loss": 1.2307, + "step": 1908 + }, + { + "epoch": 0.55, + "learning_rate": 0.0001748328439402247, + "loss": 1.2054, + "step": 1909 + }, + { + "epoch": 0.55, + "learning_rate": 0.0001746467325920949, + "loss": 1.2374, + "step": 1910 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017446064355415957, + "loss": 1.3456, + "step": 1911 + }, + { + "epoch": 0.55, + "learning_rate": 0.000174274576990172, + "loss": 1.2549, + "step": 1912 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017408853306386579, + "loss": 1.3875, + "step": 1913 + }, + { + "epoch": 0.55, + "learning_rate": 0.00017390251193895472, + "loss": 1.413, + "step": 1914 + }, + { + "epoch": 0.56, + "learning_rate": 0.00017371651377913225, + "loss": 1.2291, + "step": 1915 + }, + { + "epoch": 0.56, + "learning_rate": 0.00017353053874807182, + "loss": 1.2189, + "step": 1916 + }, + { + "epoch": 0.56, + "learning_rate": 0.00017334458700942644, + "loss": 1.1537, + "step": 1917 + }, + { + "epoch": 0.56, + "learning_rate": 0.00017315865872682856, + "loss": 1.3019, + "step": 1918 + }, + { + "epoch": 0.56, + "learning_rate": 0.00017297275406389032, + "loss": 1.2471, + "step": 1919 + }, + { + "epoch": 0.56, + "learning_rate": 0.00017278687318420262, + "loss": 1.3551, + "step": 1920 + }, + { + "epoch": 0.56, + "learning_rate": 0.00017260101625133563, + "loss": 1.2943, + "step": 1921 + }, + { + "epoch": 0.56, + "learning_rate": 0.0001724151834288387, + "loss": 1.3282, + "step": 1922 + }, + { + "epoch": 0.56, + "learning_rate": 0.0001722293748802394, + "loss": 1.5019, + "step": 1923 + }, + { + "epoch": 0.56, + "learning_rate": 0.00017204359076904445, + "loss": 1.2648, + "step": 1924 + }, + { + "epoch": 0.56, + "learning_rate": 0.00017185783125873893, + "loss": 1.1127, + "step": 1925 + }, + { + "epoch": 0.56, + "learning_rate": 0.00017167209651278604, + "loss": 1.272, + "step": 1926 + }, + { + "epoch": 0.56, + "learning_rate": 0.0001714863866946276, + "loss": 1.1037, + "step": 1927 + }, + { + "epoch": 0.56, + "learning_rate": 0.00017130070196768297, + "loss": 1.2949, + "step": 1928 + }, + { + "epoch": 0.56, + "learning_rate": 0.00017111504249534996, + "loss": 1.2811, + "step": 1929 + }, + { + "epoch": 0.56, + "learning_rate": 0.00017092940844100387, + "loss": 1.1952, + "step": 1930 + }, + { + "epoch": 0.56, + "learning_rate": 0.00017074379996799758, + "loss": 1.2638, + "step": 1931 + }, + { + "epoch": 0.56, + "learning_rate": 0.0001705582172396617, + "loss": 1.1908, + "step": 1932 + }, + { + "epoch": 0.56, + "learning_rate": 0.00017037266041930398, + "loss": 1.2415, + "step": 1933 + }, + { + "epoch": 0.56, + "learning_rate": 0.00017018712967020941, + "loss": 1.3337, + "step": 1934 + }, + { + "epoch": 0.56, + "learning_rate": 0.00017000162515564007, + "loss": 1.2085, + "step": 1935 + }, + { + "epoch": 0.56, + "learning_rate": 0.00016981614703883506, + "loss": 1.2212, + "step": 1936 + }, + { + "epoch": 0.56, + "learning_rate": 0.00016963069548301004, + "loss": 1.1379, + "step": 1937 + }, + { + "epoch": 0.56, + "learning_rate": 0.00016944527065135742, + "loss": 1.2124, + "step": 1938 + }, + { + "epoch": 0.56, + "learning_rate": 0.00016925987270704606, + "loss": 1.1204, + "step": 1939 + }, + { + "epoch": 0.56, + "learning_rate": 0.00016907450181322115, + "loss": 1.2249, + "step": 1940 + }, + { + "epoch": 0.56, + "learning_rate": 0.0001688891581330042, + "loss": 1.2513, + "step": 1941 + }, + { + "epoch": 0.56, + "learning_rate": 0.00016870384182949256, + "loss": 1.3299, + "step": 1942 + }, + { + "epoch": 0.56, + "learning_rate": 0.00016851855306575963, + "loss": 1.3036, + "step": 1943 + }, + { + "epoch": 0.56, + "learning_rate": 0.00016833329200485465, + "loss": 1.2294, + "step": 1944 + }, + { + "epoch": 0.56, + "learning_rate": 0.0001681480588098022, + "loss": 1.2135, + "step": 1945 + }, + { + "epoch": 0.56, + "learning_rate": 0.00016796285364360263, + "loss": 1.1569, + "step": 1946 + }, + { + "epoch": 0.56, + "learning_rate": 0.00016777767666923156, + "loss": 1.1965, + "step": 1947 + }, + { + "epoch": 0.56, + "learning_rate": 0.00016759252804963954, + "loss": 1.1513, + "step": 1948 + }, + { + "epoch": 0.57, + "learning_rate": 0.0001674074079477526, + "loss": 1.1926, + "step": 1949 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016722231652647145, + "loss": 1.189, + "step": 1950 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016703725394867145, + "loss": 1.114, + "step": 1951 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016685222037720278, + "loss": 1.3933, + "step": 1952 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016666721597488992, + "loss": 1.1315, + "step": 1953 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016648224090453186, + "loss": 1.2984, + "step": 1954 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016629729532890175, + "loss": 1.4407, + "step": 1955 + }, + { + "epoch": 0.57, + "learning_rate": 0.0001661123794107466, + "loss": 1.1905, + "step": 1956 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016592749331278747, + "loss": 1.1534, + "step": 1957 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016574263719771928, + "loss": 1.2697, + "step": 1958 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016555781122821035, + "loss": 1.3054, + "step": 1959 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016537301556690252, + "loss": 1.2623, + "step": 1960 + }, + { + "epoch": 0.57, + "learning_rate": 0.0001651882503764112, + "loss": 1.2823, + "step": 1961 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016500351581932456, + "loss": 1.2938, + "step": 1962 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016481881205820424, + "loss": 1.279, + "step": 1963 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016463413925558445, + "loss": 1.1894, + "step": 1964 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016444949757397234, + "loss": 1.1466, + "step": 1965 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016426488717584777, + "loss": 1.3923, + "step": 1966 + }, + { + "epoch": 0.57, + "learning_rate": 0.0001640803082236627, + "loss": 1.2416, + "step": 1967 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016389576087984177, + "loss": 1.2472, + "step": 1968 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016371124530678176, + "loss": 1.0552, + "step": 1969 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016352676166685122, + "loss": 1.4276, + "step": 1970 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016334231012239098, + "loss": 1.3438, + "step": 1971 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016315789083571342, + "loss": 1.3187, + "step": 1972 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016297350396910247, + "loss": 1.1763, + "step": 1973 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016278914968481374, + "loss": 1.2755, + "step": 1974 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016260482814507387, + "loss": 1.247, + "step": 1975 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016242053951208104, + "loss": 1.2318, + "step": 1976 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016223628394800425, + "loss": 1.215, + "step": 1977 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016205206161498342, + "loss": 1.0413, + "step": 1978 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016186787267512918, + "loss": 1.4229, + "step": 1979 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016168371729052307, + "loss": 1.2017, + "step": 1980 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016149959562321672, + "loss": 1.2663, + "step": 1981 + }, + { + "epoch": 0.57, + "learning_rate": 0.0001613155078352322, + "loss": 1.1215, + "step": 1982 + }, + { + "epoch": 0.57, + "learning_rate": 0.00016113145408856207, + "loss": 1.1153, + "step": 1983 + }, + { + "epoch": 0.58, + "learning_rate": 0.0001609474345451684, + "loss": 1.1303, + "step": 1984 + }, + { + "epoch": 0.58, + "learning_rate": 0.00016076344936698356, + "loss": 1.1184, + "step": 1985 + }, + { + "epoch": 0.58, + "learning_rate": 0.00016057949871590963, + "loss": 1.2001, + "step": 1986 + }, + { + "epoch": 0.58, + "learning_rate": 0.00016039558275381813, + "loss": 1.2126, + "step": 1987 + }, + { + "epoch": 0.58, + "learning_rate": 0.00016021170164255027, + "loss": 1.2566, + "step": 1988 + }, + { + "epoch": 0.58, + "learning_rate": 0.00016002785554391642, + "loss": 1.2464, + "step": 1989 + }, + { + "epoch": 0.58, + "learning_rate": 0.00015984404461969623, + "loss": 1.3024, + "step": 1990 + }, + { + "epoch": 0.58, + "learning_rate": 0.0001596602690316384, + "loss": 1.2382, + "step": 1991 + }, + { + "epoch": 0.58, + "learning_rate": 0.0001594765289414604, + "loss": 1.2314, + "step": 1992 + }, + { + "epoch": 0.58, + "learning_rate": 0.00015929282451084876, + "loss": 1.2229, + "step": 1993 + }, + { + "epoch": 0.58, + "learning_rate": 0.00015910915590145835, + "loss": 1.3042, + "step": 1994 + }, + { + "epoch": 0.58, + "learning_rate": 0.0001589255232749126, + "loss": 1.3198, + "step": 1995 + }, + { + "epoch": 0.58, + "learning_rate": 0.00015874192679280323, + "loss": 1.4086, + "step": 1996 + }, + { + "epoch": 0.58, + "learning_rate": 0.0001585583666166904, + "loss": 1.1759, + "step": 1997 + }, + { + "epoch": 0.58, + "learning_rate": 0.00015837484290810196, + "loss": 1.2343, + "step": 1998 + }, + { + "epoch": 0.58, + "learning_rate": 0.00015819135582853395, + "loss": 1.2502, + "step": 1999 + }, + { + "epoch": 0.58, + "learning_rate": 0.00015800790553945003, + "loss": 1.2231, + "step": 2000 + } + ], + "logging_steps": 1, + "max_steps": 3449, + "num_train_epochs": 1, + "save_steps": 1000, + "total_flos": 5.997684734757437e+17, + "trial_name": null, + "trial_params": null +}