diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,37951 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.0, + "global_step": 6321, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 1.0526315789473685e-07, + "loss": 1.6338, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 2.105263157894737e-07, + "loss": 1.6562, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 3.1578947368421055e-07, + "loss": 1.6938, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 4.210526315789474e-07, + "loss": 1.5347, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 5.263157894736843e-07, + "loss": 1.5889, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 6.315789473684211e-07, + "loss": 1.5151, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 7.368421052631579e-07, + "loss": 1.6006, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 8.421052631578948e-07, + "loss": 1.4551, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 9.473684210526317e-07, + "loss": 1.499, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 1.0526315789473685e-06, + "loss": 1.6455, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 1.1578947368421053e-06, + "loss": 1.5332, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 1.2631578947368422e-06, + "loss": 1.501, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 1.3684210526315791e-06, + "loss": 1.5273, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 1.4736842105263159e-06, + "loss": 1.4268, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 1.5789473684210526e-06, + "loss": 1.4648, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 1.6842105263157895e-06, + "loss": 1.373, + "step": 16 + }, + { + "epoch": 0.0, + "learning_rate": 1.7894736842105265e-06, + "loss": 1.3176, + "step": 17 + }, + { + "epoch": 0.0, + "learning_rate": 1.8947368421052634e-06, + "loss": 1.2231, + "step": 18 + }, + { + "epoch": 0.0, + "learning_rate": 2.0000000000000003e-06, + "loss": 1.3201, + "step": 19 + }, + { + "epoch": 0.0, + "learning_rate": 2.105263157894737e-06, + "loss": 1.1602, + "step": 20 + }, + { + "epoch": 0.0, + "learning_rate": 2.2105263157894738e-06, + "loss": 1.1265, + "step": 21 + }, + { + "epoch": 0.0, + "learning_rate": 2.3157894736842105e-06, + "loss": 1.1633, + "step": 22 + }, + { + "epoch": 0.0, + "learning_rate": 2.4210526315789477e-06, + "loss": 1.136, + "step": 23 + }, + { + "epoch": 0.0, + "learning_rate": 2.5263157894736844e-06, + "loss": 1.2195, + "step": 24 + }, + { + "epoch": 0.0, + "learning_rate": 2.631578947368421e-06, + "loss": 1.0999, + "step": 25 + }, + { + "epoch": 0.0, + "learning_rate": 2.7368421052631583e-06, + "loss": 1.1316, + "step": 26 + }, + { + "epoch": 0.0, + "learning_rate": 2.842105263157895e-06, + "loss": 1.0481, + "step": 27 + }, + { + "epoch": 0.0, + "learning_rate": 2.9473684210526317e-06, + "loss": 1.0964, + "step": 28 + }, + { + "epoch": 0.0, + "learning_rate": 3.052631578947369e-06, + "loss": 1.0063, + "step": 29 + }, + { + "epoch": 0.0, + "learning_rate": 3.157894736842105e-06, + "loss": 1.04, + "step": 30 + }, + { + "epoch": 0.0, + "learning_rate": 3.2631578947368423e-06, + "loss": 1.0618, + "step": 31 + }, + { + "epoch": 0.01, + "learning_rate": 3.368421052631579e-06, + "loss": 1.0781, + "step": 32 + }, + { + "epoch": 0.01, + "learning_rate": 3.473684210526316e-06, + "loss": 1.1125, + "step": 33 + }, + { + "epoch": 0.01, + "learning_rate": 3.578947368421053e-06, + "loss": 1.0112, + "step": 34 + }, + { + "epoch": 0.01, + "learning_rate": 3.6842105263157896e-06, + "loss": 1.0356, + "step": 35 + }, + { + "epoch": 0.01, + "learning_rate": 3.789473684210527e-06, + "loss": 0.4022, + "step": 36 + }, + { + "epoch": 0.01, + "learning_rate": 3.894736842105263e-06, + "loss": 1.0195, + "step": 37 + }, + { + "epoch": 0.01, + "learning_rate": 4.000000000000001e-06, + "loss": 0.4171, + "step": 38 + }, + { + "epoch": 0.01, + "learning_rate": 4.105263157894737e-06, + "loss": 1.0437, + "step": 39 + }, + { + "epoch": 0.01, + "learning_rate": 4.210526315789474e-06, + "loss": 0.9595, + "step": 40 + }, + { + "epoch": 0.01, + "learning_rate": 4.315789473684211e-06, + "loss": 0.9731, + "step": 41 + }, + { + "epoch": 0.01, + "learning_rate": 4.4210526315789476e-06, + "loss": 0.9434, + "step": 42 + }, + { + "epoch": 0.01, + "learning_rate": 4.526315789473685e-06, + "loss": 0.9761, + "step": 43 + }, + { + "epoch": 0.01, + "learning_rate": 4.631578947368421e-06, + "loss": 0.9719, + "step": 44 + }, + { + "epoch": 0.01, + "learning_rate": 4.736842105263158e-06, + "loss": 1.0146, + "step": 45 + }, + { + "epoch": 0.01, + "learning_rate": 4.842105263157895e-06, + "loss": 0.9639, + "step": 46 + }, + { + "epoch": 0.01, + "learning_rate": 4.947368421052632e-06, + "loss": 0.4208, + "step": 47 + }, + { + "epoch": 0.01, + "learning_rate": 5.052631578947369e-06, + "loss": 0.8945, + "step": 48 + }, + { + "epoch": 0.01, + "learning_rate": 5.157894736842106e-06, + "loss": 0.9619, + "step": 49 + }, + { + "epoch": 0.01, + "learning_rate": 5.263157894736842e-06, + "loss": 0.9065, + "step": 50 + }, + { + "epoch": 0.01, + "learning_rate": 5.36842105263158e-06, + "loss": 0.9424, + "step": 51 + }, + { + "epoch": 0.01, + "learning_rate": 5.4736842105263165e-06, + "loss": 0.9263, + "step": 52 + }, + { + "epoch": 0.01, + "learning_rate": 5.578947368421052e-06, + "loss": 0.927, + "step": 53 + }, + { + "epoch": 0.01, + "learning_rate": 5.68421052631579e-06, + "loss": 0.8857, + "step": 54 + }, + { + "epoch": 0.01, + "learning_rate": 5.789473684210527e-06, + "loss": 0.925, + "step": 55 + }, + { + "epoch": 0.01, + "learning_rate": 5.8947368421052634e-06, + "loss": 0.8389, + "step": 56 + }, + { + "epoch": 0.01, + "learning_rate": 6e-06, + "loss": 0.9006, + "step": 57 + }, + { + "epoch": 0.01, + "learning_rate": 6.105263157894738e-06, + "loss": 0.9648, + "step": 58 + }, + { + "epoch": 0.01, + "learning_rate": 6.2105263157894745e-06, + "loss": 0.9294, + "step": 59 + }, + { + "epoch": 0.01, + "learning_rate": 6.31578947368421e-06, + "loss": 0.9016, + "step": 60 + }, + { + "epoch": 0.01, + "learning_rate": 6.421052631578948e-06, + "loss": 0.9224, + "step": 61 + }, + { + "epoch": 0.01, + "learning_rate": 6.526315789473685e-06, + "loss": 0.9563, + "step": 62 + }, + { + "epoch": 0.01, + "learning_rate": 6.631578947368421e-06, + "loss": 0.9321, + "step": 63 + }, + { + "epoch": 0.01, + "learning_rate": 6.736842105263158e-06, + "loss": 0.925, + "step": 64 + }, + { + "epoch": 0.01, + "learning_rate": 6.842105263157896e-06, + "loss": 0.8647, + "step": 65 + }, + { + "epoch": 0.01, + "learning_rate": 6.947368421052632e-06, + "loss": 0.9258, + "step": 66 + }, + { + "epoch": 0.01, + "learning_rate": 7.052631578947369e-06, + "loss": 0.9341, + "step": 67 + }, + { + "epoch": 0.01, + "learning_rate": 7.157894736842106e-06, + "loss": 0.8833, + "step": 68 + }, + { + "epoch": 0.01, + "learning_rate": 7.263157894736843e-06, + "loss": 0.8987, + "step": 69 + }, + { + "epoch": 0.01, + "learning_rate": 7.368421052631579e-06, + "loss": 0.8953, + "step": 70 + }, + { + "epoch": 0.01, + "learning_rate": 7.473684210526316e-06, + "loss": 0.3749, + "step": 71 + }, + { + "epoch": 0.01, + "learning_rate": 7.578947368421054e-06, + "loss": 0.8933, + "step": 72 + }, + { + "epoch": 0.01, + "learning_rate": 7.68421052631579e-06, + "loss": 0.8994, + "step": 73 + }, + { + "epoch": 0.01, + "learning_rate": 7.789473684210526e-06, + "loss": 0.4019, + "step": 74 + }, + { + "epoch": 0.01, + "learning_rate": 7.894736842105265e-06, + "loss": 0.9065, + "step": 75 + }, + { + "epoch": 0.01, + "learning_rate": 8.000000000000001e-06, + "loss": 0.8771, + "step": 76 + }, + { + "epoch": 0.01, + "learning_rate": 8.105263157894736e-06, + "loss": 0.9048, + "step": 77 + }, + { + "epoch": 0.01, + "learning_rate": 8.210526315789475e-06, + "loss": 0.875, + "step": 78 + }, + { + "epoch": 0.01, + "learning_rate": 8.315789473684212e-06, + "loss": 0.8374, + "step": 79 + }, + { + "epoch": 0.01, + "learning_rate": 8.421052631578948e-06, + "loss": 0.8669, + "step": 80 + }, + { + "epoch": 0.01, + "learning_rate": 8.526315789473685e-06, + "loss": 0.34, + "step": 81 + }, + { + "epoch": 0.01, + "learning_rate": 8.631578947368422e-06, + "loss": 0.9331, + "step": 82 + }, + { + "epoch": 0.01, + "learning_rate": 8.736842105263158e-06, + "loss": 0.8364, + "step": 83 + }, + { + "epoch": 0.01, + "learning_rate": 8.842105263157895e-06, + "loss": 0.8535, + "step": 84 + }, + { + "epoch": 0.01, + "learning_rate": 8.947368421052632e-06, + "loss": 0.8396, + "step": 85 + }, + { + "epoch": 0.01, + "learning_rate": 9.05263157894737e-06, + "loss": 0.8584, + "step": 86 + }, + { + "epoch": 0.01, + "learning_rate": 9.157894736842105e-06, + "loss": 0.8914, + "step": 87 + }, + { + "epoch": 0.01, + "learning_rate": 9.263157894736842e-06, + "loss": 0.9382, + "step": 88 + }, + { + "epoch": 0.01, + "learning_rate": 9.36842105263158e-06, + "loss": 0.8926, + "step": 89 + }, + { + "epoch": 0.01, + "learning_rate": 9.473684210526315e-06, + "loss": 0.9128, + "step": 90 + }, + { + "epoch": 0.01, + "learning_rate": 9.578947368421054e-06, + "loss": 0.8567, + "step": 91 + }, + { + "epoch": 0.01, + "learning_rate": 9.68421052631579e-06, + "loss": 0.8474, + "step": 92 + }, + { + "epoch": 0.01, + "learning_rate": 9.789473684210527e-06, + "loss": 0.8977, + "step": 93 + }, + { + "epoch": 0.01, + "learning_rate": 9.894736842105264e-06, + "loss": 0.8616, + "step": 94 + }, + { + "epoch": 0.02, + "learning_rate": 1e-05, + "loss": 0.8748, + "step": 95 + }, + { + "epoch": 0.02, + "learning_rate": 1.0105263157894738e-05, + "loss": 0.8911, + "step": 96 + }, + { + "epoch": 0.02, + "learning_rate": 1.0210526315789476e-05, + "loss": 0.8618, + "step": 97 + }, + { + "epoch": 0.02, + "learning_rate": 1.0315789473684213e-05, + "loss": 0.8442, + "step": 98 + }, + { + "epoch": 0.02, + "learning_rate": 1.0421052631578948e-05, + "loss": 0.9104, + "step": 99 + }, + { + "epoch": 0.02, + "learning_rate": 1.0526315789473684e-05, + "loss": 0.9404, + "step": 100 + }, + { + "epoch": 0.02, + "learning_rate": 1.0631578947368421e-05, + "loss": 0.8411, + "step": 101 + }, + { + "epoch": 0.02, + "learning_rate": 1.073684210526316e-05, + "loss": 0.8423, + "step": 102 + }, + { + "epoch": 0.02, + "learning_rate": 1.0842105263157896e-05, + "loss": 0.9055, + "step": 103 + }, + { + "epoch": 0.02, + "learning_rate": 1.0947368421052633e-05, + "loss": 0.9001, + "step": 104 + }, + { + "epoch": 0.02, + "learning_rate": 1.105263157894737e-05, + "loss": 0.8855, + "step": 105 + }, + { + "epoch": 0.02, + "learning_rate": 1.1157894736842105e-05, + "loss": 0.8171, + "step": 106 + }, + { + "epoch": 0.02, + "learning_rate": 1.1263157894736843e-05, + "loss": 0.843, + "step": 107 + }, + { + "epoch": 0.02, + "learning_rate": 1.136842105263158e-05, + "loss": 0.8247, + "step": 108 + }, + { + "epoch": 0.02, + "learning_rate": 1.1473684210526317e-05, + "loss": 0.8694, + "step": 109 + }, + { + "epoch": 0.02, + "learning_rate": 1.1578947368421053e-05, + "loss": 0.8577, + "step": 110 + }, + { + "epoch": 0.02, + "learning_rate": 1.1684210526315792e-05, + "loss": 0.8945, + "step": 111 + }, + { + "epoch": 0.02, + "learning_rate": 1.1789473684210527e-05, + "loss": 0.8523, + "step": 112 + }, + { + "epoch": 0.02, + "learning_rate": 1.1894736842105264e-05, + "loss": 0.803, + "step": 113 + }, + { + "epoch": 0.02, + "learning_rate": 1.2e-05, + "loss": 0.8562, + "step": 114 + }, + { + "epoch": 0.02, + "learning_rate": 1.2105263157894737e-05, + "loss": 0.9028, + "step": 115 + }, + { + "epoch": 0.02, + "learning_rate": 1.2210526315789475e-05, + "loss": 0.884, + "step": 116 + }, + { + "epoch": 0.02, + "learning_rate": 1.2315789473684212e-05, + "loss": 0.8767, + "step": 117 + }, + { + "epoch": 0.02, + "learning_rate": 1.2421052631578949e-05, + "loss": 0.8638, + "step": 118 + }, + { + "epoch": 0.02, + "learning_rate": 1.2526315789473684e-05, + "loss": 0.8684, + "step": 119 + }, + { + "epoch": 0.02, + "learning_rate": 1.263157894736842e-05, + "loss": 0.8467, + "step": 120 + }, + { + "epoch": 0.02, + "learning_rate": 1.2736842105263159e-05, + "loss": 0.8721, + "step": 121 + }, + { + "epoch": 0.02, + "learning_rate": 1.2842105263157896e-05, + "loss": 0.8369, + "step": 122 + }, + { + "epoch": 0.02, + "learning_rate": 1.2947368421052633e-05, + "loss": 0.3404, + "step": 123 + }, + { + "epoch": 0.02, + "learning_rate": 1.305263157894737e-05, + "loss": 0.8979, + "step": 124 + }, + { + "epoch": 0.02, + "learning_rate": 1.3157894736842108e-05, + "loss": 0.8599, + "step": 125 + }, + { + "epoch": 0.02, + "learning_rate": 1.3263157894736843e-05, + "loss": 0.8596, + "step": 126 + }, + { + "epoch": 0.02, + "learning_rate": 1.336842105263158e-05, + "loss": 0.8821, + "step": 127 + }, + { + "epoch": 0.02, + "learning_rate": 1.3473684210526316e-05, + "loss": 0.8894, + "step": 128 + }, + { + "epoch": 0.02, + "learning_rate": 1.3578947368421055e-05, + "loss": 0.7644, + "step": 129 + }, + { + "epoch": 0.02, + "learning_rate": 1.3684210526315791e-05, + "loss": 0.8794, + "step": 130 + }, + { + "epoch": 0.02, + "learning_rate": 1.3789473684210528e-05, + "loss": 0.781, + "step": 131 + }, + { + "epoch": 0.02, + "learning_rate": 1.3894736842105265e-05, + "loss": 0.818, + "step": 132 + }, + { + "epoch": 0.02, + "learning_rate": 1.4e-05, + "loss": 0.8672, + "step": 133 + }, + { + "epoch": 0.02, + "learning_rate": 1.4105263157894738e-05, + "loss": 0.8195, + "step": 134 + }, + { + "epoch": 0.02, + "learning_rate": 1.4210526315789475e-05, + "loss": 0.8879, + "step": 135 + }, + { + "epoch": 0.02, + "learning_rate": 1.4315789473684212e-05, + "loss": 0.8767, + "step": 136 + }, + { + "epoch": 0.02, + "learning_rate": 1.4421052631578948e-05, + "loss": 0.8452, + "step": 137 + }, + { + "epoch": 0.02, + "learning_rate": 1.4526315789473687e-05, + "loss": 0.8108, + "step": 138 + }, + { + "epoch": 0.02, + "learning_rate": 1.4631578947368424e-05, + "loss": 0.8823, + "step": 139 + }, + { + "epoch": 0.02, + "learning_rate": 1.4736842105263159e-05, + "loss": 0.8826, + "step": 140 + }, + { + "epoch": 0.02, + "learning_rate": 1.4842105263157895e-05, + "loss": 0.785, + "step": 141 + }, + { + "epoch": 0.02, + "learning_rate": 1.4947368421052632e-05, + "loss": 0.885, + "step": 142 + }, + { + "epoch": 0.02, + "learning_rate": 1.505263157894737e-05, + "loss": 0.8787, + "step": 143 + }, + { + "epoch": 0.02, + "learning_rate": 1.5157894736842107e-05, + "loss": 0.8582, + "step": 144 + }, + { + "epoch": 0.02, + "learning_rate": 1.5263157894736846e-05, + "loss": 0.8958, + "step": 145 + }, + { + "epoch": 0.02, + "learning_rate": 1.536842105263158e-05, + "loss": 0.8595, + "step": 146 + }, + { + "epoch": 0.02, + "learning_rate": 1.5473684210526316e-05, + "loss": 0.8452, + "step": 147 + }, + { + "epoch": 0.02, + "learning_rate": 1.5578947368421052e-05, + "loss": 0.832, + "step": 148 + }, + { + "epoch": 0.02, + "learning_rate": 1.568421052631579e-05, + "loss": 0.8105, + "step": 149 + }, + { + "epoch": 0.02, + "learning_rate": 1.578947368421053e-05, + "loss": 0.7502, + "step": 150 + }, + { + "epoch": 0.02, + "learning_rate": 1.5894736842105266e-05, + "loss": 0.851, + "step": 151 + }, + { + "epoch": 0.02, + "learning_rate": 1.6000000000000003e-05, + "loss": 0.8264, + "step": 152 + }, + { + "epoch": 0.02, + "learning_rate": 1.6105263157894736e-05, + "loss": 0.8218, + "step": 153 + }, + { + "epoch": 0.02, + "learning_rate": 1.6210526315789473e-05, + "loss": 0.8835, + "step": 154 + }, + { + "epoch": 0.02, + "learning_rate": 1.6315789473684213e-05, + "loss": 0.8218, + "step": 155 + }, + { + "epoch": 0.02, + "learning_rate": 1.642105263157895e-05, + "loss": 0.8894, + "step": 156 + }, + { + "epoch": 0.02, + "learning_rate": 1.6526315789473686e-05, + "loss": 0.7953, + "step": 157 + }, + { + "epoch": 0.02, + "learning_rate": 1.6631578947368423e-05, + "loss": 0.811, + "step": 158 + }, + { + "epoch": 0.03, + "learning_rate": 1.673684210526316e-05, + "loss": 0.9004, + "step": 159 + }, + { + "epoch": 0.03, + "learning_rate": 1.6842105263157896e-05, + "loss": 0.8687, + "step": 160 + }, + { + "epoch": 0.03, + "learning_rate": 1.6947368421052633e-05, + "loss": 0.8582, + "step": 161 + }, + { + "epoch": 0.03, + "learning_rate": 1.705263157894737e-05, + "loss": 0.3281, + "step": 162 + }, + { + "epoch": 0.03, + "learning_rate": 1.7157894736842107e-05, + "loss": 0.8152, + "step": 163 + }, + { + "epoch": 0.03, + "learning_rate": 1.7263157894736843e-05, + "loss": 0.9023, + "step": 164 + }, + { + "epoch": 0.03, + "learning_rate": 1.736842105263158e-05, + "loss": 0.8254, + "step": 165 + }, + { + "epoch": 0.03, + "learning_rate": 1.7473684210526317e-05, + "loss": 0.8232, + "step": 166 + }, + { + "epoch": 0.03, + "learning_rate": 1.7578947368421054e-05, + "loss": 0.8455, + "step": 167 + }, + { + "epoch": 0.03, + "learning_rate": 1.768421052631579e-05, + "loss": 0.8635, + "step": 168 + }, + { + "epoch": 0.03, + "learning_rate": 1.7789473684210527e-05, + "loss": 0.8835, + "step": 169 + }, + { + "epoch": 0.03, + "learning_rate": 1.7894736842105264e-05, + "loss": 0.8414, + "step": 170 + }, + { + "epoch": 0.03, + "learning_rate": 1.8e-05, + "loss": 0.8831, + "step": 171 + }, + { + "epoch": 0.03, + "learning_rate": 1.810526315789474e-05, + "loss": 0.844, + "step": 172 + }, + { + "epoch": 0.03, + "learning_rate": 1.8210526315789477e-05, + "loss": 0.8108, + "step": 173 + }, + { + "epoch": 0.03, + "learning_rate": 1.831578947368421e-05, + "loss": 0.876, + "step": 174 + }, + { + "epoch": 0.03, + "learning_rate": 1.8421052631578947e-05, + "loss": 0.2955, + "step": 175 + }, + { + "epoch": 0.03, + "learning_rate": 1.8526315789473684e-05, + "loss": 0.8391, + "step": 176 + }, + { + "epoch": 0.03, + "learning_rate": 1.8631578947368424e-05, + "loss": 0.8782, + "step": 177 + }, + { + "epoch": 0.03, + "learning_rate": 1.873684210526316e-05, + "loss": 0.9197, + "step": 178 + }, + { + "epoch": 0.03, + "learning_rate": 1.8842105263157898e-05, + "loss": 0.8459, + "step": 179 + }, + { + "epoch": 0.03, + "learning_rate": 1.894736842105263e-05, + "loss": 0.7957, + "step": 180 + }, + { + "epoch": 0.03, + "learning_rate": 1.9052631578947368e-05, + "loss": 0.8257, + "step": 181 + }, + { + "epoch": 0.03, + "learning_rate": 1.9157894736842108e-05, + "loss": 0.8143, + "step": 182 + }, + { + "epoch": 0.03, + "learning_rate": 1.9263157894736845e-05, + "loss": 0.8521, + "step": 183 + }, + { + "epoch": 0.03, + "learning_rate": 1.936842105263158e-05, + "loss": 0.8286, + "step": 184 + }, + { + "epoch": 0.03, + "learning_rate": 1.9473684210526318e-05, + "loss": 0.8755, + "step": 185 + }, + { + "epoch": 0.03, + "learning_rate": 1.9578947368421055e-05, + "loss": 0.8433, + "step": 186 + }, + { + "epoch": 0.03, + "learning_rate": 1.968421052631579e-05, + "loss": 0.7854, + "step": 187 + }, + { + "epoch": 0.03, + "learning_rate": 1.9789473684210528e-05, + "loss": 0.8435, + "step": 188 + }, + { + "epoch": 0.03, + "learning_rate": 1.9894736842105265e-05, + "loss": 0.824, + "step": 189 + }, + { + "epoch": 0.03, + "learning_rate": 2e-05, + "loss": 0.9229, + "step": 190 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999998687174187e-05, + "loss": 0.9075, + "step": 191 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999994748697086e-05, + "loss": 0.8372, + "step": 192 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999988184569735e-05, + "loss": 0.8628, + "step": 193 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999978994793855e-05, + "loss": 0.8379, + "step": 194 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999967179371862e-05, + "loss": 0.2758, + "step": 195 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999952738306857e-05, + "loss": 0.8057, + "step": 196 + }, + { + "epoch": 0.03, + "learning_rate": 1.999993567160263e-05, + "loss": 0.8809, + "step": 197 + }, + { + "epoch": 0.03, + "learning_rate": 1.999991597926366e-05, + "loss": 0.8667, + "step": 198 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999893661295124e-05, + "loss": 0.8123, + "step": 199 + }, + { + "epoch": 0.03, + "learning_rate": 1.999986871770288e-05, + "loss": 0.9062, + "step": 200 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999841148493475e-05, + "loss": 0.8767, + "step": 201 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999810953674146e-05, + "loss": 0.2788, + "step": 202 + }, + { + "epoch": 0.03, + "learning_rate": 1.999977813325283e-05, + "loss": 0.7548, + "step": 203 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999742687238134e-05, + "loss": 0.8376, + "step": 204 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999704615639367e-05, + "loss": 0.8213, + "step": 205 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999663918466532e-05, + "loss": 0.8101, + "step": 206 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999620595730312e-05, + "loss": 0.8413, + "step": 207 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999574647442074e-05, + "loss": 0.8777, + "step": 208 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999526073613894e-05, + "loss": 0.8796, + "step": 209 + }, + { + "epoch": 0.03, + "learning_rate": 1.999947487425852e-05, + "loss": 0.3039, + "step": 210 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999421049389395e-05, + "loss": 0.8069, + "step": 211 + }, + { + "epoch": 0.03, + "learning_rate": 1.999936459902065e-05, + "loss": 0.8235, + "step": 212 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999305523167112e-05, + "loss": 0.8547, + "step": 213 + }, + { + "epoch": 0.03, + "learning_rate": 1.999924382184429e-05, + "loss": 0.866, + "step": 214 + }, + { + "epoch": 0.03, + "learning_rate": 1.9999179495068378e-05, + "loss": 0.8125, + "step": 215 + }, + { + "epoch": 0.03, + "learning_rate": 1.999911254285628e-05, + "loss": 0.8616, + "step": 216 + }, + { + "epoch": 0.03, + "learning_rate": 1.999904296522556e-05, + "loss": 0.8267, + "step": 217 + }, + { + "epoch": 0.03, + "learning_rate": 1.9998970762194497e-05, + "loss": 0.8108, + "step": 218 + }, + { + "epoch": 0.03, + "learning_rate": 1.999889593378205e-05, + "loss": 0.874, + "step": 219 + }, + { + "epoch": 0.03, + "learning_rate": 1.9998818480007857e-05, + "loss": 0.8628, + "step": 220 + }, + { + "epoch": 0.03, + "learning_rate": 1.999873840089226e-05, + "loss": 0.7722, + "step": 221 + }, + { + "epoch": 0.04, + "learning_rate": 1.999865569645629e-05, + "loss": 0.8469, + "step": 222 + }, + { + "epoch": 0.04, + "learning_rate": 1.999857036672165e-05, + "loss": 0.8264, + "step": 223 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998482411710758e-05, + "loss": 0.8484, + "step": 224 + }, + { + "epoch": 0.04, + "learning_rate": 1.99983918314467e-05, + "loss": 0.8391, + "step": 225 + }, + { + "epoch": 0.04, + "learning_rate": 1.999829862595326e-05, + "loss": 0.8511, + "step": 226 + }, + { + "epoch": 0.04, + "learning_rate": 1.999820279525491e-05, + "loss": 0.8674, + "step": 227 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998104339376817e-05, + "loss": 0.9333, + "step": 228 + }, + { + "epoch": 0.04, + "learning_rate": 1.9998003258344827e-05, + "loss": 0.8613, + "step": 229 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997899552185482e-05, + "loss": 0.7761, + "step": 230 + }, + { + "epoch": 0.04, + "learning_rate": 1.999779322092601e-05, + "loss": 0.8469, + "step": 231 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997684264594332e-05, + "loss": 0.7822, + "step": 232 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997572683219055e-05, + "loss": 0.8694, + "step": 233 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997458476829477e-05, + "loss": 0.8704, + "step": 234 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997341645455587e-05, + "loss": 0.8479, + "step": 235 + }, + { + "epoch": 0.04, + "learning_rate": 1.9997222189128053e-05, + "loss": 0.802, + "step": 236 + }, + { + "epoch": 0.04, + "learning_rate": 1.999710010787825e-05, + "loss": 0.7883, + "step": 237 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996975401738227e-05, + "loss": 0.8459, + "step": 238 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996848070740725e-05, + "loss": 0.8904, + "step": 239 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996718114919183e-05, + "loss": 0.692, + "step": 240 + }, + { + "epoch": 0.04, + "learning_rate": 1.999658553430772e-05, + "loss": 0.8195, + "step": 241 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996450328941143e-05, + "loss": 0.891, + "step": 242 + }, + { + "epoch": 0.04, + "learning_rate": 1.999631249885496e-05, + "loss": 0.9224, + "step": 243 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996172044085355e-05, + "loss": 0.8156, + "step": 244 + }, + { + "epoch": 0.04, + "learning_rate": 1.9996028964669204e-05, + "loss": 0.8591, + "step": 245 + }, + { + "epoch": 0.04, + "learning_rate": 1.9995883260644082e-05, + "loss": 0.8315, + "step": 246 + }, + { + "epoch": 0.04, + "learning_rate": 1.999573493204824e-05, + "loss": 0.8206, + "step": 247 + }, + { + "epoch": 0.04, + "learning_rate": 1.9995583978920628e-05, + "loss": 0.2943, + "step": 248 + }, + { + "epoch": 0.04, + "learning_rate": 1.999543040130088e-05, + "loss": 0.844, + "step": 249 + }, + { + "epoch": 0.04, + "learning_rate": 1.9995274199229322e-05, + "loss": 0.8755, + "step": 250 + }, + { + "epoch": 0.04, + "learning_rate": 1.999511537274696e-05, + "loss": 0.8184, + "step": 251 + }, + { + "epoch": 0.04, + "learning_rate": 1.9994953921895504e-05, + "loss": 0.8298, + "step": 252 + }, + { + "epoch": 0.04, + "learning_rate": 1.999478984671734e-05, + "loss": 0.8708, + "step": 253 + }, + { + "epoch": 0.04, + "learning_rate": 1.999462314725555e-05, + "loss": 0.8225, + "step": 254 + }, + { + "epoch": 0.04, + "learning_rate": 1.9994453823553907e-05, + "loss": 0.8062, + "step": 255 + }, + { + "epoch": 0.04, + "learning_rate": 1.9994281875656864e-05, + "loss": 0.8613, + "step": 256 + }, + { + "epoch": 0.04, + "learning_rate": 1.9994107303609573e-05, + "loss": 0.8252, + "step": 257 + }, + { + "epoch": 0.04, + "learning_rate": 1.999393010745787e-05, + "loss": 0.8032, + "step": 258 + }, + { + "epoch": 0.04, + "learning_rate": 1.9993750287248278e-05, + "loss": 0.8391, + "step": 259 + }, + { + "epoch": 0.04, + "learning_rate": 1.999356784302801e-05, + "loss": 0.8674, + "step": 260 + }, + { + "epoch": 0.04, + "learning_rate": 1.9993382774844976e-05, + "loss": 0.8462, + "step": 261 + }, + { + "epoch": 0.04, + "learning_rate": 1.999319508274776e-05, + "loss": 0.8788, + "step": 262 + }, + { + "epoch": 0.04, + "learning_rate": 1.9993004766785656e-05, + "loss": 0.8014, + "step": 263 + }, + { + "epoch": 0.04, + "learning_rate": 1.999281182700862e-05, + "loss": 0.7977, + "step": 264 + }, + { + "epoch": 0.04, + "learning_rate": 1.999261626346732e-05, + "loss": 0.8105, + "step": 265 + }, + { + "epoch": 0.04, + "learning_rate": 1.9992418076213102e-05, + "loss": 0.8102, + "step": 266 + }, + { + "epoch": 0.04, + "learning_rate": 1.9992217265298e-05, + "loss": 0.8279, + "step": 267 + }, + { + "epoch": 0.04, + "learning_rate": 1.999201383077475e-05, + "loss": 0.8457, + "step": 268 + }, + { + "epoch": 0.04, + "learning_rate": 1.9991807772696753e-05, + "loss": 0.8699, + "step": 269 + }, + { + "epoch": 0.04, + "learning_rate": 1.9991599091118123e-05, + "loss": 0.8551, + "step": 270 + }, + { + "epoch": 0.04, + "learning_rate": 1.9991387786093647e-05, + "loss": 0.7823, + "step": 271 + }, + { + "epoch": 0.04, + "learning_rate": 1.999117385767881e-05, + "loss": 0.8899, + "step": 272 + }, + { + "epoch": 0.04, + "learning_rate": 1.999095730592978e-05, + "loss": 0.8391, + "step": 273 + }, + { + "epoch": 0.04, + "learning_rate": 1.9990738130903415e-05, + "loss": 0.8479, + "step": 274 + }, + { + "epoch": 0.04, + "learning_rate": 1.9990516332657267e-05, + "loss": 0.8464, + "step": 275 + }, + { + "epoch": 0.04, + "learning_rate": 1.9990291911249567e-05, + "loss": 0.8601, + "step": 276 + }, + { + "epoch": 0.04, + "learning_rate": 1.9990064866739245e-05, + "loss": 0.8516, + "step": 277 + }, + { + "epoch": 0.04, + "learning_rate": 1.998983519918591e-05, + "loss": 0.8491, + "step": 278 + }, + { + "epoch": 0.04, + "learning_rate": 1.998960290864987e-05, + "loss": 0.8442, + "step": 279 + }, + { + "epoch": 0.04, + "learning_rate": 1.9989367995192113e-05, + "loss": 0.8416, + "step": 280 + }, + { + "epoch": 0.04, + "learning_rate": 1.9989130458874323e-05, + "loss": 0.7878, + "step": 281 + }, + { + "epoch": 0.04, + "learning_rate": 1.9988890299758862e-05, + "loss": 0.7893, + "step": 282 + }, + { + "epoch": 0.04, + "learning_rate": 1.998864751790879e-05, + "loss": 0.8477, + "step": 283 + }, + { + "epoch": 0.04, + "learning_rate": 1.9988402113387858e-05, + "loss": 0.8108, + "step": 284 + }, + { + "epoch": 0.05, + "learning_rate": 1.9988154086260494e-05, + "loss": 0.7961, + "step": 285 + }, + { + "epoch": 0.05, + "learning_rate": 1.9987903436591827e-05, + "loss": 0.8267, + "step": 286 + }, + { + "epoch": 0.05, + "learning_rate": 1.9987650164447664e-05, + "loss": 0.7551, + "step": 287 + }, + { + "epoch": 0.05, + "learning_rate": 1.9987394269894507e-05, + "loss": 0.8494, + "step": 288 + }, + { + "epoch": 0.05, + "learning_rate": 1.998713575299955e-05, + "loss": 0.791, + "step": 289 + }, + { + "epoch": 0.05, + "learning_rate": 1.998687461383066e-05, + "loss": 0.8247, + "step": 290 + }, + { + "epoch": 0.05, + "learning_rate": 1.998661085245641e-05, + "loss": 0.7869, + "step": 291 + }, + { + "epoch": 0.05, + "learning_rate": 1.9986344468946058e-05, + "loss": 0.3262, + "step": 292 + }, + { + "epoch": 0.05, + "learning_rate": 1.998607546336954e-05, + "loss": 0.8569, + "step": 293 + }, + { + "epoch": 0.05, + "learning_rate": 1.998580383579749e-05, + "loss": 0.8486, + "step": 294 + }, + { + "epoch": 0.05, + "learning_rate": 1.998552958630123e-05, + "loss": 0.8848, + "step": 295 + }, + { + "epoch": 0.05, + "learning_rate": 1.9985252714952764e-05, + "loss": 0.8354, + "step": 296 + }, + { + "epoch": 0.05, + "learning_rate": 1.9984973221824795e-05, + "loss": 0.8789, + "step": 297 + }, + { + "epoch": 0.05, + "learning_rate": 1.99846911069907e-05, + "loss": 0.7899, + "step": 298 + }, + { + "epoch": 0.05, + "learning_rate": 1.998440637052456e-05, + "loss": 0.8525, + "step": 299 + }, + { + "epoch": 0.05, + "learning_rate": 1.998411901250113e-05, + "loss": 0.2974, + "step": 300 + }, + { + "epoch": 0.05, + "learning_rate": 1.998382903299587e-05, + "loss": 0.8096, + "step": 301 + }, + { + "epoch": 0.05, + "learning_rate": 1.9983536432084908e-05, + "loss": 0.8301, + "step": 302 + }, + { + "epoch": 0.05, + "learning_rate": 1.9983241209845078e-05, + "loss": 0.8325, + "step": 303 + }, + { + "epoch": 0.05, + "learning_rate": 1.9982943366353892e-05, + "loss": 0.8047, + "step": 304 + }, + { + "epoch": 0.05, + "learning_rate": 1.998264290168955e-05, + "loss": 0.802, + "step": 305 + }, + { + "epoch": 0.05, + "learning_rate": 1.998233981593095e-05, + "loss": 0.7412, + "step": 306 + }, + { + "epoch": 0.05, + "learning_rate": 1.998203410915767e-05, + "loss": 0.7938, + "step": 307 + }, + { + "epoch": 0.05, + "learning_rate": 1.9981725781449975e-05, + "loss": 0.7778, + "step": 308 + }, + { + "epoch": 0.05, + "learning_rate": 1.9981414832888825e-05, + "loss": 0.8105, + "step": 309 + }, + { + "epoch": 0.05, + "learning_rate": 1.9981101263555864e-05, + "loss": 0.8606, + "step": 310 + }, + { + "epoch": 0.05, + "learning_rate": 1.998078507353342e-05, + "loss": 0.8186, + "step": 311 + }, + { + "epoch": 0.05, + "learning_rate": 1.9980466262904515e-05, + "loss": 0.8381, + "step": 312 + }, + { + "epoch": 0.05, + "learning_rate": 1.998014483175286e-05, + "loss": 0.8206, + "step": 313 + }, + { + "epoch": 0.05, + "learning_rate": 1.9979820780162853e-05, + "loss": 0.702, + "step": 314 + }, + { + "epoch": 0.05, + "learning_rate": 1.9979494108219576e-05, + "loss": 0.7853, + "step": 315 + }, + { + "epoch": 0.05, + "learning_rate": 1.99791648160088e-05, + "loss": 0.8186, + "step": 316 + }, + { + "epoch": 0.05, + "learning_rate": 1.9978832903616988e-05, + "loss": 0.7899, + "step": 317 + }, + { + "epoch": 0.05, + "learning_rate": 1.9978498371131284e-05, + "loss": 0.7783, + "step": 318 + }, + { + "epoch": 0.05, + "learning_rate": 1.9978161218639534e-05, + "loss": 0.7717, + "step": 319 + }, + { + "epoch": 0.05, + "learning_rate": 1.9977821446230253e-05, + "loss": 0.8809, + "step": 320 + }, + { + "epoch": 0.05, + "learning_rate": 1.997747905399266e-05, + "loss": 0.8428, + "step": 321 + }, + { + "epoch": 0.05, + "learning_rate": 1.997713404201665e-05, + "loss": 0.8416, + "step": 322 + }, + { + "epoch": 0.05, + "learning_rate": 1.997678641039282e-05, + "loss": 0.9065, + "step": 323 + }, + { + "epoch": 0.05, + "learning_rate": 1.997643615921244e-05, + "loss": 0.8423, + "step": 324 + }, + { + "epoch": 0.05, + "learning_rate": 1.9976083288567466e-05, + "loss": 0.7843, + "step": 325 + }, + { + "epoch": 0.05, + "learning_rate": 1.9975727798550563e-05, + "loss": 0.8586, + "step": 326 + }, + { + "epoch": 0.05, + "learning_rate": 1.9975369689255063e-05, + "loss": 0.8501, + "step": 327 + }, + { + "epoch": 0.05, + "learning_rate": 1.9975008960774994e-05, + "loss": 0.8269, + "step": 328 + }, + { + "epoch": 0.05, + "learning_rate": 1.997464561320507e-05, + "loss": 0.8501, + "step": 329 + }, + { + "epoch": 0.05, + "learning_rate": 1.99742796466407e-05, + "loss": 0.8027, + "step": 330 + }, + { + "epoch": 0.05, + "learning_rate": 1.9973911061177963e-05, + "loss": 0.8623, + "step": 331 + }, + { + "epoch": 0.05, + "learning_rate": 1.9973539856913645e-05, + "loss": 0.8225, + "step": 332 + }, + { + "epoch": 0.05, + "learning_rate": 1.997316603394521e-05, + "loss": 0.8582, + "step": 333 + }, + { + "epoch": 0.05, + "learning_rate": 1.9972789592370807e-05, + "loss": 0.8391, + "step": 334 + }, + { + "epoch": 0.05, + "learning_rate": 1.997241053228928e-05, + "loss": 0.7844, + "step": 335 + }, + { + "epoch": 0.05, + "learning_rate": 1.9972028853800156e-05, + "loss": 0.8539, + "step": 336 + }, + { + "epoch": 0.05, + "learning_rate": 1.997164455700365e-05, + "loss": 0.8645, + "step": 337 + }, + { + "epoch": 0.05, + "learning_rate": 1.9971257642000666e-05, + "loss": 0.8066, + "step": 338 + }, + { + "epoch": 0.05, + "learning_rate": 1.9970868108892795e-05, + "loss": 0.7947, + "step": 339 + }, + { + "epoch": 0.05, + "learning_rate": 1.997047595778231e-05, + "loss": 0.8701, + "step": 340 + }, + { + "epoch": 0.05, + "learning_rate": 1.9970081188772184e-05, + "loss": 0.8391, + "step": 341 + }, + { + "epoch": 0.05, + "learning_rate": 1.996968380196606e-05, + "loss": 0.7979, + "step": 342 + }, + { + "epoch": 0.05, + "learning_rate": 1.996928379746829e-05, + "loss": 0.8433, + "step": 343 + }, + { + "epoch": 0.05, + "learning_rate": 1.9968881175383893e-05, + "loss": 0.8174, + "step": 344 + }, + { + "epoch": 0.05, + "learning_rate": 1.9968475935818584e-05, + "loss": 0.83, + "step": 345 + }, + { + "epoch": 0.05, + "learning_rate": 1.9968068078878766e-05, + "loss": 0.8281, + "step": 346 + }, + { + "epoch": 0.05, + "learning_rate": 1.996765760467153e-05, + "loss": 0.8684, + "step": 347 + }, + { + "epoch": 0.06, + "learning_rate": 1.9967244513304647e-05, + "loss": 0.7776, + "step": 348 + }, + { + "epoch": 0.06, + "learning_rate": 1.9966828804886583e-05, + "loss": 0.8333, + "step": 349 + }, + { + "epoch": 0.06, + "learning_rate": 1.9966410479526493e-05, + "loss": 0.8662, + "step": 350 + }, + { + "epoch": 0.06, + "learning_rate": 1.996598953733421e-05, + "loss": 0.7655, + "step": 351 + }, + { + "epoch": 0.06, + "learning_rate": 1.9965565978420258e-05, + "loss": 0.2867, + "step": 352 + }, + { + "epoch": 0.06, + "learning_rate": 1.9965139802895856e-05, + "loss": 0.8386, + "step": 353 + }, + { + "epoch": 0.06, + "learning_rate": 1.996471101087289e-05, + "loss": 0.7964, + "step": 354 + }, + { + "epoch": 0.06, + "learning_rate": 1.9964279602463955e-05, + "loss": 0.8821, + "step": 355 + }, + { + "epoch": 0.06, + "learning_rate": 1.9963845577782325e-05, + "loss": 0.7914, + "step": 356 + }, + { + "epoch": 0.06, + "learning_rate": 1.9963408936941952e-05, + "loss": 0.864, + "step": 357 + }, + { + "epoch": 0.06, + "learning_rate": 1.9962969680057492e-05, + "loss": 0.8293, + "step": 358 + }, + { + "epoch": 0.06, + "learning_rate": 1.996252780724427e-05, + "loss": 0.8057, + "step": 359 + }, + { + "epoch": 0.06, + "learning_rate": 1.9962083318618314e-05, + "loss": 0.8684, + "step": 360 + }, + { + "epoch": 0.06, + "learning_rate": 1.9961636214296324e-05, + "loss": 0.808, + "step": 361 + }, + { + "epoch": 0.06, + "learning_rate": 1.9961186494395702e-05, + "loss": 0.2842, + "step": 362 + }, + { + "epoch": 0.06, + "learning_rate": 1.9960734159034522e-05, + "loss": 0.8267, + "step": 363 + }, + { + "epoch": 0.06, + "learning_rate": 1.9960279208331553e-05, + "loss": 0.756, + "step": 364 + }, + { + "epoch": 0.06, + "learning_rate": 1.995982164240625e-05, + "loss": 0.8054, + "step": 365 + }, + { + "epoch": 0.06, + "learning_rate": 1.9959361461378756e-05, + "loss": 0.8403, + "step": 366 + }, + { + "epoch": 0.06, + "learning_rate": 1.9958898665369894e-05, + "loss": 0.8025, + "step": 367 + }, + { + "epoch": 0.06, + "learning_rate": 1.9958433254501185e-05, + "loss": 0.8774, + "step": 368 + }, + { + "epoch": 0.06, + "learning_rate": 1.995796522889482e-05, + "loss": 0.8135, + "step": 369 + }, + { + "epoch": 0.06, + "learning_rate": 1.9957494588673692e-05, + "loss": 0.8406, + "step": 370 + }, + { + "epoch": 0.06, + "learning_rate": 1.995702133396138e-05, + "loss": 0.7979, + "step": 371 + }, + { + "epoch": 0.06, + "learning_rate": 1.995654546488213e-05, + "loss": 0.8181, + "step": 372 + }, + { + "epoch": 0.06, + "learning_rate": 1.9956066981560906e-05, + "loss": 0.8281, + "step": 373 + }, + { + "epoch": 0.06, + "learning_rate": 1.9955585884123325e-05, + "loss": 0.8762, + "step": 374 + }, + { + "epoch": 0.06, + "learning_rate": 1.9955102172695717e-05, + "loss": 0.8713, + "step": 375 + }, + { + "epoch": 0.06, + "learning_rate": 1.9954615847405084e-05, + "loss": 0.7668, + "step": 376 + }, + { + "epoch": 0.06, + "learning_rate": 1.9954126908379116e-05, + "loss": 0.7773, + "step": 377 + }, + { + "epoch": 0.06, + "learning_rate": 1.9953635355746198e-05, + "loss": 0.823, + "step": 378 + }, + { + "epoch": 0.06, + "learning_rate": 1.9953141189635385e-05, + "loss": 0.7939, + "step": 379 + }, + { + "epoch": 0.06, + "learning_rate": 1.9952644410176436e-05, + "loss": 0.8479, + "step": 380 + }, + { + "epoch": 0.06, + "learning_rate": 1.9952145017499787e-05, + "loss": 0.8706, + "step": 381 + }, + { + "epoch": 0.06, + "learning_rate": 1.9951643011736558e-05, + "loss": 0.7484, + "step": 382 + }, + { + "epoch": 0.06, + "learning_rate": 1.9951138393018558e-05, + "loss": 0.8054, + "step": 383 + }, + { + "epoch": 0.06, + "learning_rate": 1.9950631161478283e-05, + "loss": 0.8125, + "step": 384 + }, + { + "epoch": 0.06, + "learning_rate": 1.9950121317248918e-05, + "loss": 0.8403, + "step": 385 + }, + { + "epoch": 0.06, + "learning_rate": 1.9949608860464326e-05, + "loss": 0.813, + "step": 386 + }, + { + "epoch": 0.06, + "learning_rate": 1.9949093791259063e-05, + "loss": 0.7766, + "step": 387 + }, + { + "epoch": 0.06, + "learning_rate": 1.9948576109768363e-05, + "loss": 0.7739, + "step": 388 + }, + { + "epoch": 0.06, + "learning_rate": 1.9948055816128157e-05, + "loss": 0.8442, + "step": 389 + }, + { + "epoch": 0.06, + "learning_rate": 1.9947532910475057e-05, + "loss": 0.8433, + "step": 390 + }, + { + "epoch": 0.06, + "learning_rate": 1.9947007392946353e-05, + "loss": 0.8259, + "step": 391 + }, + { + "epoch": 0.06, + "learning_rate": 1.9946479263680034e-05, + "loss": 0.8945, + "step": 392 + }, + { + "epoch": 0.06, + "learning_rate": 1.9945948522814766e-05, + "loss": 0.871, + "step": 393 + }, + { + "epoch": 0.06, + "learning_rate": 1.9945415170489902e-05, + "loss": 0.8213, + "step": 394 + }, + { + "epoch": 0.06, + "learning_rate": 1.994487920684548e-05, + "loss": 0.8374, + "step": 395 + }, + { + "epoch": 0.06, + "learning_rate": 1.9944340632022234e-05, + "loss": 0.8468, + "step": 396 + }, + { + "epoch": 0.06, + "learning_rate": 1.9943799446161565e-05, + "loss": 0.7815, + "step": 397 + }, + { + "epoch": 0.06, + "learning_rate": 1.9943255649405574e-05, + "loss": 0.8252, + "step": 398 + }, + { + "epoch": 0.06, + "learning_rate": 1.9942709241897044e-05, + "loss": 0.7739, + "step": 399 + }, + { + "epoch": 0.06, + "learning_rate": 1.9942160223779438e-05, + "loss": 0.8059, + "step": 400 + }, + { + "epoch": 0.06, + "learning_rate": 1.9941608595196914e-05, + "loss": 0.8804, + "step": 401 + }, + { + "epoch": 0.06, + "learning_rate": 1.994105435629431e-05, + "loss": 0.8048, + "step": 402 + }, + { + "epoch": 0.06, + "learning_rate": 1.9940497507217147e-05, + "loss": 0.7633, + "step": 403 + }, + { + "epoch": 0.06, + "learning_rate": 1.9939938048111637e-05, + "loss": 0.8186, + "step": 404 + }, + { + "epoch": 0.06, + "learning_rate": 1.993937597912467e-05, + "loss": 0.8315, + "step": 405 + }, + { + "epoch": 0.06, + "learning_rate": 1.9938811300403833e-05, + "loss": 0.8186, + "step": 406 + }, + { + "epoch": 0.06, + "learning_rate": 1.9938244012097384e-05, + "loss": 0.7694, + "step": 407 + }, + { + "epoch": 0.06, + "learning_rate": 1.993767411435428e-05, + "loss": 0.8433, + "step": 408 + }, + { + "epoch": 0.06, + "learning_rate": 1.9937101607324146e-05, + "loss": 0.8496, + "step": 409 + }, + { + "epoch": 0.06, + "learning_rate": 1.9936526491157315e-05, + "loss": 0.7828, + "step": 410 + }, + { + "epoch": 0.07, + "learning_rate": 1.993594876600478e-05, + "loss": 0.7817, + "step": 411 + }, + { + "epoch": 0.07, + "learning_rate": 1.9935368432018243e-05, + "loss": 0.77, + "step": 412 + }, + { + "epoch": 0.07, + "learning_rate": 1.993478548935007e-05, + "loss": 0.7598, + "step": 413 + }, + { + "epoch": 0.07, + "learning_rate": 1.993419993815333e-05, + "loss": 0.8119, + "step": 414 + }, + { + "epoch": 0.07, + "learning_rate": 1.993361177858176e-05, + "loss": 0.8806, + "step": 415 + }, + { + "epoch": 0.07, + "learning_rate": 1.9933021010789795e-05, + "loss": 0.7095, + "step": 416 + }, + { + "epoch": 0.07, + "learning_rate": 1.993242763493255e-05, + "loss": 0.814, + "step": 417 + }, + { + "epoch": 0.07, + "learning_rate": 1.9931831651165824e-05, + "loss": 0.7969, + "step": 418 + }, + { + "epoch": 0.07, + "learning_rate": 1.9931233059646102e-05, + "loss": 0.8599, + "step": 419 + }, + { + "epoch": 0.07, + "learning_rate": 1.9930631860530553e-05, + "loss": 0.8899, + "step": 420 + }, + { + "epoch": 0.07, + "learning_rate": 1.993002805397703e-05, + "loss": 0.8669, + "step": 421 + }, + { + "epoch": 0.07, + "learning_rate": 1.9929421640144073e-05, + "loss": 0.771, + "step": 422 + }, + { + "epoch": 0.07, + "learning_rate": 1.9928812619190904e-05, + "loss": 0.8442, + "step": 423 + }, + { + "epoch": 0.07, + "learning_rate": 1.992820099127743e-05, + "loss": 0.803, + "step": 424 + }, + { + "epoch": 0.07, + "learning_rate": 1.9927586756564245e-05, + "loss": 0.865, + "step": 425 + }, + { + "epoch": 0.07, + "learning_rate": 1.9926969915212627e-05, + "loss": 0.8005, + "step": 426 + }, + { + "epoch": 0.07, + "learning_rate": 1.9926350467384533e-05, + "loss": 0.8713, + "step": 427 + }, + { + "epoch": 0.07, + "learning_rate": 1.9925728413242612e-05, + "loss": 0.8162, + "step": 428 + }, + { + "epoch": 0.07, + "learning_rate": 1.992510375295019e-05, + "loss": 0.8601, + "step": 429 + }, + { + "epoch": 0.07, + "learning_rate": 1.9924476486671284e-05, + "loss": 0.8188, + "step": 430 + }, + { + "epoch": 0.07, + "learning_rate": 1.9923846614570592e-05, + "loss": 0.7957, + "step": 431 + }, + { + "epoch": 0.07, + "learning_rate": 1.9923214136813498e-05, + "loss": 0.8124, + "step": 432 + }, + { + "epoch": 0.07, + "learning_rate": 1.9922579053566063e-05, + "loss": 0.7859, + "step": 433 + }, + { + "epoch": 0.07, + "learning_rate": 1.9921941364995044e-05, + "loss": 0.8843, + "step": 434 + }, + { + "epoch": 0.07, + "learning_rate": 1.9921301071267873e-05, + "loss": 0.8606, + "step": 435 + }, + { + "epoch": 0.07, + "learning_rate": 1.992065817255267e-05, + "loss": 0.8398, + "step": 436 + }, + { + "epoch": 0.07, + "learning_rate": 1.992001266901823e-05, + "loss": 0.8376, + "step": 437 + }, + { + "epoch": 0.07, + "learning_rate": 1.9919364560834053e-05, + "loss": 0.8137, + "step": 438 + }, + { + "epoch": 0.07, + "learning_rate": 1.9918713848170304e-05, + "loss": 0.8293, + "step": 439 + }, + { + "epoch": 0.07, + "learning_rate": 1.9918060531197833e-05, + "loss": 0.8887, + "step": 440 + }, + { + "epoch": 0.07, + "learning_rate": 1.9917404610088183e-05, + "loss": 0.2843, + "step": 441 + }, + { + "epoch": 0.07, + "learning_rate": 1.9916746085013578e-05, + "loss": 0.843, + "step": 442 + }, + { + "epoch": 0.07, + "learning_rate": 1.991608495614692e-05, + "loss": 0.8044, + "step": 443 + }, + { + "epoch": 0.07, + "learning_rate": 1.9915421223661794e-05, + "loss": 0.9055, + "step": 444 + }, + { + "epoch": 0.07, + "learning_rate": 1.9914754887732483e-05, + "loss": 0.7465, + "step": 445 + }, + { + "epoch": 0.07, + "learning_rate": 1.9914085948533937e-05, + "loss": 0.7847, + "step": 446 + }, + { + "epoch": 0.07, + "learning_rate": 1.99134144062418e-05, + "loss": 0.8264, + "step": 447 + }, + { + "epoch": 0.07, + "learning_rate": 1.991274026103239e-05, + "loss": 0.8337, + "step": 448 + }, + { + "epoch": 0.07, + "learning_rate": 1.991206351308272e-05, + "loss": 0.8148, + "step": 449 + }, + { + "epoch": 0.07, + "learning_rate": 1.9911384162570478e-05, + "loss": 0.854, + "step": 450 + }, + { + "epoch": 0.07, + "learning_rate": 1.991070220967404e-05, + "loss": 0.8237, + "step": 451 + }, + { + "epoch": 0.07, + "learning_rate": 1.9910017654572456e-05, + "loss": 0.7991, + "step": 452 + }, + { + "epoch": 0.07, + "learning_rate": 1.990933049744547e-05, + "loss": 0.8257, + "step": 453 + }, + { + "epoch": 0.07, + "learning_rate": 1.9908640738473512e-05, + "loss": 0.7798, + "step": 454 + }, + { + "epoch": 0.07, + "learning_rate": 1.9907948377837682e-05, + "loss": 0.8408, + "step": 455 + }, + { + "epoch": 0.07, + "learning_rate": 1.990725341571977e-05, + "loss": 0.8018, + "step": 456 + }, + { + "epoch": 0.07, + "learning_rate": 1.9906555852302248e-05, + "loss": 0.9124, + "step": 457 + }, + { + "epoch": 0.07, + "learning_rate": 1.9905855687768275e-05, + "loss": 0.8464, + "step": 458 + }, + { + "epoch": 0.07, + "learning_rate": 1.990515292230169e-05, + "loss": 0.8567, + "step": 459 + }, + { + "epoch": 0.07, + "learning_rate": 1.9904447556087014e-05, + "loss": 0.7533, + "step": 460 + }, + { + "epoch": 0.07, + "learning_rate": 1.9903739589309448e-05, + "loss": 0.7692, + "step": 461 + }, + { + "epoch": 0.07, + "learning_rate": 1.9903029022154887e-05, + "loss": 0.8381, + "step": 462 + }, + { + "epoch": 0.07, + "learning_rate": 1.9902315854809894e-05, + "loss": 0.751, + "step": 463 + }, + { + "epoch": 0.07, + "learning_rate": 1.9901600087461725e-05, + "loss": 0.83, + "step": 464 + }, + { + "epoch": 0.07, + "learning_rate": 1.9900881720298315e-05, + "loss": 0.7726, + "step": 465 + }, + { + "epoch": 0.07, + "learning_rate": 1.9900160753508282e-05, + "loss": 0.7823, + "step": 466 + }, + { + "epoch": 0.07, + "learning_rate": 1.9899437187280925e-05, + "loss": 0.7766, + "step": 467 + }, + { + "epoch": 0.07, + "learning_rate": 1.9898711021806233e-05, + "loss": 0.7794, + "step": 468 + }, + { + "epoch": 0.07, + "learning_rate": 1.9897982257274866e-05, + "loss": 0.8206, + "step": 469 + }, + { + "epoch": 0.07, + "learning_rate": 1.9897250893878172e-05, + "loss": 0.8171, + "step": 470 + }, + { + "epoch": 0.07, + "learning_rate": 1.9896516931808188e-05, + "loss": 0.7888, + "step": 471 + }, + { + "epoch": 0.07, + "learning_rate": 1.989578037125762e-05, + "loss": 0.8062, + "step": 472 + }, + { + "epoch": 0.07, + "learning_rate": 1.9895041212419865e-05, + "loss": 0.806, + "step": 473 + }, + { + "epoch": 0.07, + "learning_rate": 1.9894299455489004e-05, + "loss": 0.8464, + "step": 474 + }, + { + "epoch": 0.08, + "learning_rate": 1.9893555100659792e-05, + "loss": 0.7979, + "step": 475 + }, + { + "epoch": 0.08, + "learning_rate": 1.989280814812767e-05, + "loss": 0.8873, + "step": 476 + }, + { + "epoch": 0.08, + "learning_rate": 1.989205859808877e-05, + "loss": 0.8374, + "step": 477 + }, + { + "epoch": 0.08, + "learning_rate": 1.9891306450739886e-05, + "loss": 0.8079, + "step": 478 + }, + { + "epoch": 0.08, + "learning_rate": 1.9890551706278516e-05, + "loss": 0.8445, + "step": 479 + }, + { + "epoch": 0.08, + "learning_rate": 1.988979436490282e-05, + "loss": 0.814, + "step": 480 + }, + { + "epoch": 0.08, + "learning_rate": 1.9889034426811657e-05, + "loss": 0.8435, + "step": 481 + }, + { + "epoch": 0.08, + "learning_rate": 1.9888271892204562e-05, + "loss": 0.8267, + "step": 482 + }, + { + "epoch": 0.08, + "learning_rate": 1.988750676128174e-05, + "loss": 0.793, + "step": 483 + }, + { + "epoch": 0.08, + "learning_rate": 1.9886739034244096e-05, + "loss": 0.7634, + "step": 484 + }, + { + "epoch": 0.08, + "learning_rate": 1.9885968711293205e-05, + "loss": 0.8281, + "step": 485 + }, + { + "epoch": 0.08, + "learning_rate": 1.9885195792631328e-05, + "loss": 0.786, + "step": 486 + }, + { + "epoch": 0.08, + "learning_rate": 1.9884420278461407e-05, + "loss": 0.7784, + "step": 487 + }, + { + "epoch": 0.08, + "learning_rate": 1.9883642168987063e-05, + "loss": 0.7201, + "step": 488 + }, + { + "epoch": 0.08, + "learning_rate": 1.9882861464412602e-05, + "loss": 0.7671, + "step": 489 + }, + { + "epoch": 0.08, + "learning_rate": 1.9882078164943014e-05, + "loss": 0.7917, + "step": 490 + }, + { + "epoch": 0.08, + "learning_rate": 1.9881292270783955e-05, + "loss": 0.8098, + "step": 491 + }, + { + "epoch": 0.08, + "learning_rate": 1.9880503782141786e-05, + "loss": 0.8013, + "step": 492 + }, + { + "epoch": 0.08, + "learning_rate": 1.9879712699223524e-05, + "loss": 0.8252, + "step": 493 + }, + { + "epoch": 0.08, + "learning_rate": 1.9878919022236894e-05, + "loss": 0.8438, + "step": 494 + }, + { + "epoch": 0.08, + "learning_rate": 1.9878122751390275e-05, + "loss": 0.8223, + "step": 495 + }, + { + "epoch": 0.08, + "learning_rate": 1.987732388689275e-05, + "loss": 0.8044, + "step": 496 + }, + { + "epoch": 0.08, + "learning_rate": 1.9876522428954068e-05, + "loss": 0.7791, + "step": 497 + }, + { + "epoch": 0.08, + "learning_rate": 1.9875718377784663e-05, + "loss": 0.8374, + "step": 498 + }, + { + "epoch": 0.08, + "learning_rate": 1.987491173359565e-05, + "loss": 0.8237, + "step": 499 + }, + { + "epoch": 0.08, + "learning_rate": 1.9874102496598834e-05, + "loss": 0.7812, + "step": 500 + }, + { + "epoch": 0.08, + "learning_rate": 1.9873290667006683e-05, + "loss": 0.8064, + "step": 501 + }, + { + "epoch": 0.08, + "learning_rate": 1.987247624503236e-05, + "loss": 0.8069, + "step": 502 + }, + { + "epoch": 0.08, + "learning_rate": 1.98716592308897e-05, + "loss": 0.8003, + "step": 503 + }, + { + "epoch": 0.08, + "learning_rate": 1.9870839624793226e-05, + "loss": 0.8474, + "step": 504 + }, + { + "epoch": 0.08, + "learning_rate": 1.9870017426958136e-05, + "loss": 0.7361, + "step": 505 + }, + { + "epoch": 0.08, + "learning_rate": 1.9869192637600315e-05, + "loss": 0.7969, + "step": 506 + }, + { + "epoch": 0.08, + "learning_rate": 1.9868365256936317e-05, + "loss": 0.7764, + "step": 507 + }, + { + "epoch": 0.08, + "learning_rate": 1.9867535285183388e-05, + "loss": 0.7527, + "step": 508 + }, + { + "epoch": 0.08, + "learning_rate": 1.986670272255945e-05, + "loss": 0.7583, + "step": 509 + }, + { + "epoch": 0.08, + "learning_rate": 1.98658675692831e-05, + "loss": 0.8586, + "step": 510 + }, + { + "epoch": 0.08, + "learning_rate": 1.9865029825573625e-05, + "loss": 0.8247, + "step": 511 + }, + { + "epoch": 0.08, + "learning_rate": 1.9864189491650986e-05, + "loss": 0.8041, + "step": 512 + }, + { + "epoch": 0.08, + "learning_rate": 1.9863346567735823e-05, + "loss": 0.7893, + "step": 513 + }, + { + "epoch": 0.08, + "learning_rate": 1.9862501054049465e-05, + "loss": 0.8213, + "step": 514 + }, + { + "epoch": 0.08, + "learning_rate": 1.986165295081391e-05, + "loss": 0.803, + "step": 515 + }, + { + "epoch": 0.08, + "learning_rate": 1.9860802258251835e-05, + "loss": 0.7877, + "step": 516 + }, + { + "epoch": 0.08, + "learning_rate": 1.985994897658661e-05, + "loss": 0.8713, + "step": 517 + }, + { + "epoch": 0.08, + "learning_rate": 1.985909310604228e-05, + "loss": 0.8328, + "step": 518 + }, + { + "epoch": 0.08, + "learning_rate": 1.9858234646843556e-05, + "loss": 0.7919, + "step": 519 + }, + { + "epoch": 0.08, + "learning_rate": 1.9857373599215847e-05, + "loss": 0.8173, + "step": 520 + }, + { + "epoch": 0.08, + "learning_rate": 1.9856509963385228e-05, + "loss": 0.8367, + "step": 521 + }, + { + "epoch": 0.08, + "learning_rate": 1.9855643739578467e-05, + "loss": 0.8845, + "step": 522 + }, + { + "epoch": 0.08, + "learning_rate": 1.9854774928023003e-05, + "loss": 0.7717, + "step": 523 + }, + { + "epoch": 0.08, + "learning_rate": 1.985390352894695e-05, + "loss": 0.7632, + "step": 524 + }, + { + "epoch": 0.08, + "learning_rate": 1.9853029542579115e-05, + "loss": 0.8, + "step": 525 + }, + { + "epoch": 0.08, + "learning_rate": 1.985215296914897e-05, + "loss": 0.8335, + "step": 526 + }, + { + "epoch": 0.08, + "learning_rate": 1.9851273808886673e-05, + "loss": 0.7369, + "step": 527 + }, + { + "epoch": 0.08, + "learning_rate": 1.9850392062023066e-05, + "loss": 0.8184, + "step": 528 + }, + { + "epoch": 0.08, + "learning_rate": 1.9849507728789658e-05, + "loss": 0.8599, + "step": 529 + }, + { + "epoch": 0.08, + "learning_rate": 1.984862080941865e-05, + "loss": 0.8506, + "step": 530 + }, + { + "epoch": 0.08, + "learning_rate": 1.9847731304142912e-05, + "loss": 0.8201, + "step": 531 + }, + { + "epoch": 0.08, + "learning_rate": 1.9846839213196002e-05, + "loss": 0.7966, + "step": 532 + }, + { + "epoch": 0.08, + "learning_rate": 1.9845944536812144e-05, + "loss": 0.8157, + "step": 533 + }, + { + "epoch": 0.08, + "learning_rate": 1.984504727522626e-05, + "loss": 0.8058, + "step": 534 + }, + { + "epoch": 0.08, + "learning_rate": 1.984414742867393e-05, + "loss": 0.8193, + "step": 535 + }, + { + "epoch": 0.08, + "learning_rate": 1.9843244997391423e-05, + "loss": 0.757, + "step": 536 + }, + { + "epoch": 0.08, + "learning_rate": 1.9842339981615693e-05, + "loss": 0.7955, + "step": 537 + }, + { + "epoch": 0.09, + "learning_rate": 1.984143238158436e-05, + "loss": 0.7777, + "step": 538 + }, + { + "epoch": 0.09, + "learning_rate": 1.984052219753573e-05, + "loss": 0.7402, + "step": 539 + }, + { + "epoch": 0.09, + "learning_rate": 1.9839609429708786e-05, + "loss": 0.801, + "step": 540 + }, + { + "epoch": 0.09, + "learning_rate": 1.9838694078343186e-05, + "loss": 0.8199, + "step": 541 + }, + { + "epoch": 0.09, + "learning_rate": 1.9837776143679274e-05, + "loss": 0.8464, + "step": 542 + }, + { + "epoch": 0.09, + "learning_rate": 1.9836855625958063e-05, + "loss": 0.807, + "step": 543 + }, + { + "epoch": 0.09, + "learning_rate": 1.983593252542125e-05, + "loss": 0.8259, + "step": 544 + }, + { + "epoch": 0.09, + "learning_rate": 1.983500684231121e-05, + "loss": 0.771, + "step": 545 + }, + { + "epoch": 0.09, + "learning_rate": 1.9834078576871e-05, + "loss": 0.8169, + "step": 546 + }, + { + "epoch": 0.09, + "learning_rate": 1.9833147729344343e-05, + "loss": 0.8223, + "step": 547 + }, + { + "epoch": 0.09, + "learning_rate": 1.983221429997565e-05, + "loss": 0.3116, + "step": 548 + }, + { + "epoch": 0.09, + "learning_rate": 1.9831278289010004e-05, + "loss": 0.7871, + "step": 549 + }, + { + "epoch": 0.09, + "learning_rate": 1.9830339696693173e-05, + "loss": 0.8315, + "step": 550 + }, + { + "epoch": 0.09, + "learning_rate": 1.9829398523271603e-05, + "loss": 0.7986, + "step": 551 + }, + { + "epoch": 0.09, + "learning_rate": 1.98284547689924e-05, + "loss": 0.8013, + "step": 552 + }, + { + "epoch": 0.09, + "learning_rate": 1.982750843410337e-05, + "loss": 0.7991, + "step": 553 + }, + { + "epoch": 0.09, + "learning_rate": 1.9826559518852985e-05, + "loss": 0.8081, + "step": 554 + }, + { + "epoch": 0.09, + "learning_rate": 1.9825608023490403e-05, + "loss": 0.8274, + "step": 555 + }, + { + "epoch": 0.09, + "learning_rate": 1.9824653948265444e-05, + "loss": 0.761, + "step": 556 + }, + { + "epoch": 0.09, + "learning_rate": 1.982369729342862e-05, + "loss": 0.8137, + "step": 557 + }, + { + "epoch": 0.09, + "learning_rate": 1.9822738059231116e-05, + "loss": 0.7399, + "step": 558 + }, + { + "epoch": 0.09, + "learning_rate": 1.9821776245924793e-05, + "loss": 0.8591, + "step": 559 + }, + { + "epoch": 0.09, + "learning_rate": 1.982081185376219e-05, + "loss": 0.803, + "step": 560 + }, + { + "epoch": 0.09, + "learning_rate": 1.9819844882996523e-05, + "loss": 0.771, + "step": 561 + }, + { + "epoch": 0.09, + "learning_rate": 1.981887533388168e-05, + "loss": 0.8389, + "step": 562 + }, + { + "epoch": 0.09, + "learning_rate": 1.9817903206672235e-05, + "loss": 0.8115, + "step": 563 + }, + { + "epoch": 0.09, + "learning_rate": 1.9816928501623435e-05, + "loss": 0.7791, + "step": 564 + }, + { + "epoch": 0.09, + "learning_rate": 1.98159512189912e-05, + "loss": 0.8179, + "step": 565 + }, + { + "epoch": 0.09, + "learning_rate": 1.9814971359032136e-05, + "loss": 0.8549, + "step": 566 + }, + { + "epoch": 0.09, + "learning_rate": 1.981398892200352e-05, + "loss": 0.7686, + "step": 567 + }, + { + "epoch": 0.09, + "learning_rate": 1.9813003908163298e-05, + "loss": 0.8284, + "step": 568 + }, + { + "epoch": 0.09, + "learning_rate": 1.9812016317770105e-05, + "loss": 0.7966, + "step": 569 + }, + { + "epoch": 0.09, + "learning_rate": 1.9811026151083253e-05, + "loss": 0.8586, + "step": 570 + }, + { + "epoch": 0.09, + "learning_rate": 1.9810033408362717e-05, + "loss": 0.8303, + "step": 571 + }, + { + "epoch": 0.09, + "learning_rate": 1.980903808986916e-05, + "loss": 0.8137, + "step": 572 + }, + { + "epoch": 0.09, + "learning_rate": 1.9808040195863918e-05, + "loss": 0.3023, + "step": 573 + }, + { + "epoch": 0.09, + "learning_rate": 1.9807039726609005e-05, + "loss": 0.7959, + "step": 574 + }, + { + "epoch": 0.09, + "learning_rate": 1.9806036682367105e-05, + "loss": 0.8125, + "step": 575 + }, + { + "epoch": 0.09, + "learning_rate": 1.9805031063401587e-05, + "loss": 0.7684, + "step": 576 + }, + { + "epoch": 0.09, + "learning_rate": 1.9804022869976487e-05, + "loss": 0.2958, + "step": 577 + }, + { + "epoch": 0.09, + "learning_rate": 1.9803012102356528e-05, + "loss": 0.7819, + "step": 578 + }, + { + "epoch": 0.09, + "learning_rate": 1.9801998760807096e-05, + "loss": 0.7942, + "step": 579 + }, + { + "epoch": 0.09, + "learning_rate": 1.980098284559426e-05, + "loss": 0.8147, + "step": 580 + }, + { + "epoch": 0.09, + "learning_rate": 1.9799964356984768e-05, + "loss": 0.8364, + "step": 581 + }, + { + "epoch": 0.09, + "learning_rate": 1.979894329524604e-05, + "loss": 0.8298, + "step": 582 + }, + { + "epoch": 0.09, + "learning_rate": 1.9797919660646167e-05, + "loss": 0.8187, + "step": 583 + }, + { + "epoch": 0.09, + "learning_rate": 1.9796893453453916e-05, + "loss": 0.8513, + "step": 584 + }, + { + "epoch": 0.09, + "learning_rate": 1.9795864673938742e-05, + "loss": 0.8276, + "step": 585 + }, + { + "epoch": 0.09, + "learning_rate": 1.9794833322370764e-05, + "loss": 0.8098, + "step": 586 + }, + { + "epoch": 0.09, + "learning_rate": 1.9793799399020776e-05, + "loss": 0.7268, + "step": 587 + }, + { + "epoch": 0.09, + "learning_rate": 1.9792762904160255e-05, + "loss": 0.79, + "step": 588 + }, + { + "epoch": 0.09, + "learning_rate": 1.9791723838061342e-05, + "loss": 0.7632, + "step": 589 + }, + { + "epoch": 0.09, + "learning_rate": 1.979068220099687e-05, + "loss": 0.7922, + "step": 590 + }, + { + "epoch": 0.09, + "learning_rate": 1.9789637993240323e-05, + "loss": 0.782, + "step": 591 + }, + { + "epoch": 0.09, + "learning_rate": 1.9788591215065884e-05, + "loss": 0.7944, + "step": 592 + }, + { + "epoch": 0.09, + "learning_rate": 1.9787541866748397e-05, + "loss": 0.783, + "step": 593 + }, + { + "epoch": 0.09, + "learning_rate": 1.9786489948563383e-05, + "loss": 0.8289, + "step": 594 + }, + { + "epoch": 0.09, + "learning_rate": 1.9785435460787042e-05, + "loss": 0.8594, + "step": 595 + }, + { + "epoch": 0.09, + "learning_rate": 1.978437840369624e-05, + "loss": 0.8171, + "step": 596 + }, + { + "epoch": 0.09, + "learning_rate": 1.9783318777568534e-05, + "loss": 0.7532, + "step": 597 + }, + { + "epoch": 0.09, + "learning_rate": 1.9782256582682135e-05, + "loss": 0.8237, + "step": 598 + }, + { + "epoch": 0.09, + "learning_rate": 1.9781191819315944e-05, + "loss": 0.7826, + "step": 599 + }, + { + "epoch": 0.09, + "learning_rate": 1.9780124487749526e-05, + "loss": 0.8372, + "step": 600 + }, + { + "epoch": 0.1, + "learning_rate": 1.9779054588263127e-05, + "loss": 0.8274, + "step": 601 + }, + { + "epoch": 0.1, + "learning_rate": 1.9777982121137665e-05, + "loss": 0.7563, + "step": 602 + }, + { + "epoch": 0.1, + "learning_rate": 1.977690708665474e-05, + "loss": 0.8384, + "step": 603 + }, + { + "epoch": 0.1, + "learning_rate": 1.9775829485096606e-05, + "loss": 0.8164, + "step": 604 + }, + { + "epoch": 0.1, + "learning_rate": 1.9774749316746212e-05, + "loss": 0.7902, + "step": 605 + }, + { + "epoch": 0.1, + "learning_rate": 1.977366658188717e-05, + "loss": 0.7681, + "step": 606 + }, + { + "epoch": 0.1, + "learning_rate": 1.977258128080377e-05, + "loss": 0.8218, + "step": 607 + }, + { + "epoch": 0.1, + "learning_rate": 1.977149341378097e-05, + "loss": 0.785, + "step": 608 + }, + { + "epoch": 0.1, + "learning_rate": 1.977040298110441e-05, + "loss": 0.7365, + "step": 609 + }, + { + "epoch": 0.1, + "learning_rate": 1.97693099830604e-05, + "loss": 0.8132, + "step": 610 + }, + { + "epoch": 0.1, + "learning_rate": 1.9768214419935923e-05, + "loss": 0.7397, + "step": 611 + }, + { + "epoch": 0.1, + "learning_rate": 1.9767116292018633e-05, + "loss": 0.7778, + "step": 612 + }, + { + "epoch": 0.1, + "learning_rate": 1.976601559959686e-05, + "loss": 0.8735, + "step": 613 + }, + { + "epoch": 0.1, + "learning_rate": 1.9764912342959612e-05, + "loss": 0.8342, + "step": 614 + }, + { + "epoch": 0.1, + "learning_rate": 1.9763806522396564e-05, + "loss": 0.8152, + "step": 615 + }, + { + "epoch": 0.1, + "learning_rate": 1.976269813819806e-05, + "loss": 0.8315, + "step": 616 + }, + { + "epoch": 0.1, + "learning_rate": 1.9761587190655134e-05, + "loss": 0.8141, + "step": 617 + }, + { + "epoch": 0.1, + "learning_rate": 1.976047368005947e-05, + "loss": 0.7837, + "step": 618 + }, + { + "epoch": 0.1, + "learning_rate": 1.9759357606703447e-05, + "loss": 0.8164, + "step": 619 + }, + { + "epoch": 0.1, + "learning_rate": 1.9758238970880105e-05, + "loss": 0.3185, + "step": 620 + }, + { + "epoch": 0.1, + "learning_rate": 1.9757117772883152e-05, + "loss": 0.7667, + "step": 621 + }, + { + "epoch": 0.1, + "learning_rate": 1.9755994013006983e-05, + "loss": 0.8718, + "step": 622 + }, + { + "epoch": 0.1, + "learning_rate": 1.9754867691546656e-05, + "loss": 0.8721, + "step": 623 + }, + { + "epoch": 0.1, + "learning_rate": 1.97537388087979e-05, + "loss": 0.7701, + "step": 624 + }, + { + "epoch": 0.1, + "learning_rate": 1.975260736505713e-05, + "loss": 0.8137, + "step": 625 + }, + { + "epoch": 0.1, + "learning_rate": 1.9751473360621413e-05, + "loss": 0.8779, + "step": 626 + }, + { + "epoch": 0.1, + "learning_rate": 1.9750336795788506e-05, + "loss": 0.8503, + "step": 627 + }, + { + "epoch": 0.1, + "learning_rate": 1.9749197670856825e-05, + "loss": 0.8142, + "step": 628 + }, + { + "epoch": 0.1, + "learning_rate": 1.9748055986125473e-05, + "loss": 0.7709, + "step": 629 + }, + { + "epoch": 0.1, + "learning_rate": 1.974691174189421e-05, + "loss": 0.8291, + "step": 630 + }, + { + "epoch": 0.1, + "learning_rate": 1.9745764938463477e-05, + "loss": 0.8481, + "step": 631 + }, + { + "epoch": 0.1, + "learning_rate": 1.9744615576134384e-05, + "loss": 0.748, + "step": 632 + }, + { + "epoch": 0.1, + "learning_rate": 1.9743463655208713e-05, + "loss": 0.7869, + "step": 633 + }, + { + "epoch": 0.1, + "learning_rate": 1.974230917598892e-05, + "loss": 0.8328, + "step": 634 + }, + { + "epoch": 0.1, + "learning_rate": 1.974115213877813e-05, + "loss": 0.8221, + "step": 635 + }, + { + "epoch": 0.1, + "learning_rate": 1.9739992543880146e-05, + "loss": 0.8083, + "step": 636 + }, + { + "epoch": 0.1, + "learning_rate": 1.9738830391599425e-05, + "loss": 0.8079, + "step": 637 + }, + { + "epoch": 0.1, + "learning_rate": 1.9737665682241115e-05, + "loss": 0.8184, + "step": 638 + }, + { + "epoch": 0.1, + "learning_rate": 1.973649841611103e-05, + "loss": 0.8213, + "step": 639 + }, + { + "epoch": 0.1, + "learning_rate": 1.973532859351565e-05, + "loss": 0.7886, + "step": 640 + }, + { + "epoch": 0.1, + "learning_rate": 1.9734156214762135e-05, + "loss": 0.7649, + "step": 641 + }, + { + "epoch": 0.1, + "learning_rate": 1.9732981280158302e-05, + "loss": 0.3423, + "step": 642 + }, + { + "epoch": 0.1, + "learning_rate": 1.9731803790012656e-05, + "loss": 0.837, + "step": 643 + }, + { + "epoch": 0.1, + "learning_rate": 1.9730623744634362e-05, + "loss": 0.7983, + "step": 644 + }, + { + "epoch": 0.1, + "learning_rate": 1.9729441144333255e-05, + "loss": 0.8447, + "step": 645 + }, + { + "epoch": 0.1, + "learning_rate": 1.972825598941985e-05, + "loss": 0.7908, + "step": 646 + }, + { + "epoch": 0.1, + "learning_rate": 1.9727068280205325e-05, + "loss": 0.8188, + "step": 647 + }, + { + "epoch": 0.1, + "learning_rate": 1.972587801700153e-05, + "loss": 0.8407, + "step": 648 + }, + { + "epoch": 0.1, + "learning_rate": 1.972468520012099e-05, + "loss": 0.8364, + "step": 649 + }, + { + "epoch": 0.1, + "learning_rate": 1.9723489829876893e-05, + "loss": 0.8208, + "step": 650 + }, + { + "epoch": 0.1, + "learning_rate": 1.9722291906583105e-05, + "loss": 0.813, + "step": 651 + }, + { + "epoch": 0.1, + "learning_rate": 1.9721091430554157e-05, + "loss": 0.8002, + "step": 652 + }, + { + "epoch": 0.1, + "learning_rate": 1.9719888402105257e-05, + "loss": 0.7751, + "step": 653 + }, + { + "epoch": 0.1, + "learning_rate": 1.971868282155227e-05, + "loss": 0.757, + "step": 654 + }, + { + "epoch": 0.1, + "learning_rate": 1.9717474689211747e-05, + "loss": 0.8088, + "step": 655 + }, + { + "epoch": 0.1, + "learning_rate": 1.9716264005400897e-05, + "loss": 0.8273, + "step": 656 + }, + { + "epoch": 0.1, + "learning_rate": 1.9715050770437605e-05, + "loss": 0.8308, + "step": 657 + }, + { + "epoch": 0.1, + "learning_rate": 1.971383498464042e-05, + "loss": 0.7648, + "step": 658 + }, + { + "epoch": 0.1, + "learning_rate": 1.9712616648328574e-05, + "loss": 0.8672, + "step": 659 + }, + { + "epoch": 0.1, + "learning_rate": 1.9711395761821953e-05, + "loss": 0.7937, + "step": 660 + }, + { + "epoch": 0.1, + "learning_rate": 1.971017232544112e-05, + "loss": 0.7793, + "step": 661 + }, + { + "epoch": 0.1, + "learning_rate": 1.970894633950731e-05, + "loss": 0.7318, + "step": 662 + }, + { + "epoch": 0.1, + "learning_rate": 1.9707717804342416e-05, + "loss": 0.792, + "step": 663 + }, + { + "epoch": 0.11, + "learning_rate": 1.970648672026902e-05, + "loss": 0.7915, + "step": 664 + }, + { + "epoch": 0.11, + "learning_rate": 1.9705253087610353e-05, + "loss": 0.8347, + "step": 665 + }, + { + "epoch": 0.11, + "learning_rate": 1.970401690669033e-05, + "loss": 0.3354, + "step": 666 + }, + { + "epoch": 0.11, + "learning_rate": 1.970277817783352e-05, + "loss": 0.3099, + "step": 667 + }, + { + "epoch": 0.11, + "learning_rate": 1.970153690136518e-05, + "loss": 0.8296, + "step": 668 + }, + { + "epoch": 0.11, + "learning_rate": 1.9700293077611226e-05, + "loss": 0.7937, + "step": 669 + }, + { + "epoch": 0.11, + "learning_rate": 1.9699046706898236e-05, + "loss": 0.8335, + "step": 670 + }, + { + "epoch": 0.11, + "learning_rate": 1.9697797789553466e-05, + "loss": 0.7947, + "step": 671 + }, + { + "epoch": 0.11, + "learning_rate": 1.9696546325904837e-05, + "loss": 0.8032, + "step": 672 + }, + { + "epoch": 0.11, + "learning_rate": 1.9695292316280943e-05, + "loss": 0.7964, + "step": 673 + }, + { + "epoch": 0.11, + "learning_rate": 1.969403576101104e-05, + "loss": 0.8368, + "step": 674 + }, + { + "epoch": 0.11, + "learning_rate": 1.969277666042506e-05, + "loss": 0.2897, + "step": 675 + }, + { + "epoch": 0.11, + "learning_rate": 1.9691515014853594e-05, + "loss": 0.8182, + "step": 676 + }, + { + "epoch": 0.11, + "learning_rate": 1.969025082462791e-05, + "loss": 0.3116, + "step": 677 + }, + { + "epoch": 0.11, + "learning_rate": 1.9688984090079938e-05, + "loss": 0.8262, + "step": 678 + }, + { + "epoch": 0.11, + "learning_rate": 1.968771481154228e-05, + "loss": 0.8616, + "step": 679 + }, + { + "epoch": 0.11, + "learning_rate": 1.96864429893482e-05, + "loss": 0.821, + "step": 680 + }, + { + "epoch": 0.11, + "learning_rate": 1.968516862383164e-05, + "loss": 0.8157, + "step": 681 + }, + { + "epoch": 0.11, + "learning_rate": 1.9683891715327203e-05, + "loss": 0.2811, + "step": 682 + }, + { + "epoch": 0.11, + "learning_rate": 1.968261226417016e-05, + "loss": 0.299, + "step": 683 + }, + { + "epoch": 0.11, + "learning_rate": 1.9681330270696442e-05, + "loss": 0.8015, + "step": 684 + }, + { + "epoch": 0.11, + "learning_rate": 1.968004573524267e-05, + "loss": 0.7588, + "step": 685 + }, + { + "epoch": 0.11, + "learning_rate": 1.967875865814611e-05, + "loss": 0.8914, + "step": 686 + }, + { + "epoch": 0.11, + "learning_rate": 1.9677469039744705e-05, + "loss": 0.8322, + "step": 687 + }, + { + "epoch": 0.11, + "learning_rate": 1.9676176880377067e-05, + "loss": 0.8337, + "step": 688 + }, + { + "epoch": 0.11, + "learning_rate": 1.9674882180382467e-05, + "loss": 0.8503, + "step": 689 + }, + { + "epoch": 0.11, + "learning_rate": 1.967358494010085e-05, + "loss": 0.8093, + "step": 690 + }, + { + "epoch": 0.11, + "learning_rate": 1.9672285159872827e-05, + "loss": 0.7854, + "step": 691 + }, + { + "epoch": 0.11, + "learning_rate": 1.9670982840039673e-05, + "loss": 0.8749, + "step": 692 + }, + { + "epoch": 0.11, + "learning_rate": 1.9669677980943333e-05, + "loss": 0.7865, + "step": 693 + }, + { + "epoch": 0.11, + "learning_rate": 1.966837058292642e-05, + "loss": 0.7574, + "step": 694 + }, + { + "epoch": 0.11, + "learning_rate": 1.9667060646332208e-05, + "loss": 0.823, + "step": 695 + }, + { + "epoch": 0.11, + "learning_rate": 1.966574817150464e-05, + "loss": 0.7803, + "step": 696 + }, + { + "epoch": 0.11, + "learning_rate": 1.966443315878833e-05, + "loss": 0.8064, + "step": 697 + }, + { + "epoch": 0.11, + "learning_rate": 1.966311560852855e-05, + "loss": 0.7979, + "step": 698 + }, + { + "epoch": 0.11, + "learning_rate": 1.966179552107125e-05, + "loss": 0.8085, + "step": 699 + }, + { + "epoch": 0.11, + "learning_rate": 1.9660472896763027e-05, + "loss": 0.7743, + "step": 700 + }, + { + "epoch": 0.11, + "learning_rate": 1.9659147735951168e-05, + "loss": 0.803, + "step": 701 + }, + { + "epoch": 0.11, + "learning_rate": 1.965782003898361e-05, + "loss": 0.7947, + "step": 702 + }, + { + "epoch": 0.11, + "learning_rate": 1.9656489806208955e-05, + "loss": 0.7622, + "step": 703 + }, + { + "epoch": 0.11, + "learning_rate": 1.9655157037976482e-05, + "loss": 0.8403, + "step": 704 + }, + { + "epoch": 0.11, + "learning_rate": 1.965382173463613e-05, + "loss": 0.7996, + "step": 705 + }, + { + "epoch": 0.11, + "learning_rate": 1.9652483896538498e-05, + "loss": 0.7788, + "step": 706 + }, + { + "epoch": 0.11, + "learning_rate": 1.965114352403486e-05, + "loss": 0.7913, + "step": 707 + }, + { + "epoch": 0.11, + "learning_rate": 1.9649800617477145e-05, + "loss": 0.8057, + "step": 708 + }, + { + "epoch": 0.11, + "learning_rate": 1.964845517721796e-05, + "loss": 0.7815, + "step": 709 + }, + { + "epoch": 0.11, + "learning_rate": 1.9647107203610572e-05, + "loss": 0.8088, + "step": 710 + }, + { + "epoch": 0.11, + "learning_rate": 1.9645756697008905e-05, + "loss": 0.842, + "step": 711 + }, + { + "epoch": 0.11, + "learning_rate": 1.9644403657767558e-05, + "loss": 0.8193, + "step": 712 + }, + { + "epoch": 0.11, + "learning_rate": 1.9643048086241797e-05, + "loss": 0.7959, + "step": 713 + }, + { + "epoch": 0.11, + "learning_rate": 1.964168998278754e-05, + "loss": 0.751, + "step": 714 + }, + { + "epoch": 0.11, + "learning_rate": 1.9640329347761382e-05, + "loss": 0.8169, + "step": 715 + }, + { + "epoch": 0.11, + "learning_rate": 1.9638966181520577e-05, + "loss": 0.8103, + "step": 716 + }, + { + "epoch": 0.11, + "learning_rate": 1.963760048442305e-05, + "loss": 0.864, + "step": 717 + }, + { + "epoch": 0.11, + "learning_rate": 1.9636232256827374e-05, + "loss": 0.8379, + "step": 718 + }, + { + "epoch": 0.11, + "learning_rate": 1.9634861499092806e-05, + "loss": 0.7593, + "step": 719 + }, + { + "epoch": 0.11, + "learning_rate": 1.963348821157926e-05, + "loss": 0.7693, + "step": 720 + }, + { + "epoch": 0.11, + "learning_rate": 1.9632112394647308e-05, + "loss": 0.7947, + "step": 721 + }, + { + "epoch": 0.11, + "learning_rate": 1.96307340486582e-05, + "loss": 0.7911, + "step": 722 + }, + { + "epoch": 0.11, + "learning_rate": 1.9629353173973832e-05, + "loss": 0.7595, + "step": 723 + }, + { + "epoch": 0.11, + "learning_rate": 1.9627969770956782e-05, + "loss": 0.7679, + "step": 724 + }, + { + "epoch": 0.11, + "learning_rate": 1.9626583839970278e-05, + "loss": 0.7548, + "step": 725 + }, + { + "epoch": 0.11, + "learning_rate": 1.962519538137822e-05, + "loss": 0.8469, + "step": 726 + }, + { + "epoch": 0.12, + "learning_rate": 1.9623804395545167e-05, + "loss": 0.7977, + "step": 727 + }, + { + "epoch": 0.12, + "learning_rate": 1.9622410882836343e-05, + "loss": 0.7883, + "step": 728 + }, + { + "epoch": 0.12, + "learning_rate": 1.9621014843617638e-05, + "loss": 0.8547, + "step": 729 + }, + { + "epoch": 0.12, + "learning_rate": 1.9619616278255603e-05, + "loss": 0.783, + "step": 730 + }, + { + "epoch": 0.12, + "learning_rate": 1.9618215187117448e-05, + "loss": 0.834, + "step": 731 + }, + { + "epoch": 0.12, + "learning_rate": 1.961681157057106e-05, + "loss": 0.8406, + "step": 732 + }, + { + "epoch": 0.12, + "learning_rate": 1.961540542898497e-05, + "loss": 0.8239, + "step": 733 + }, + { + "epoch": 0.12, + "learning_rate": 1.961399676272839e-05, + "loss": 0.8142, + "step": 734 + }, + { + "epoch": 0.12, + "learning_rate": 1.9612585572171184e-05, + "loss": 0.8291, + "step": 735 + }, + { + "epoch": 0.12, + "learning_rate": 1.961117185768388e-05, + "loss": 0.8169, + "step": 736 + }, + { + "epoch": 0.12, + "learning_rate": 1.9609755619637662e-05, + "loss": 0.8589, + "step": 737 + }, + { + "epoch": 0.12, + "learning_rate": 1.9608336858404404e-05, + "loss": 0.7998, + "step": 738 + }, + { + "epoch": 0.12, + "learning_rate": 1.9606915574356607e-05, + "loss": 0.7646, + "step": 739 + }, + { + "epoch": 0.12, + "learning_rate": 1.960549176786746e-05, + "loss": 0.7981, + "step": 740 + }, + { + "epoch": 0.12, + "learning_rate": 1.9604065439310794e-05, + "loss": 0.7948, + "step": 741 + }, + { + "epoch": 0.12, + "learning_rate": 1.9602636589061124e-05, + "loss": 0.8267, + "step": 742 + }, + { + "epoch": 0.12, + "learning_rate": 1.9601205217493614e-05, + "loss": 0.7407, + "step": 743 + }, + { + "epoch": 0.12, + "learning_rate": 1.959977132498409e-05, + "loss": 0.8547, + "step": 744 + }, + { + "epoch": 0.12, + "learning_rate": 1.959833491190905e-05, + "loss": 0.8921, + "step": 745 + }, + { + "epoch": 0.12, + "learning_rate": 1.959689597864563e-05, + "loss": 0.8401, + "step": 746 + }, + { + "epoch": 0.12, + "learning_rate": 1.9595454525571655e-05, + "loss": 0.2927, + "step": 747 + }, + { + "epoch": 0.12, + "learning_rate": 1.9594010553065602e-05, + "loss": 0.7974, + "step": 748 + }, + { + "epoch": 0.12, + "learning_rate": 1.95925640615066e-05, + "loss": 0.8606, + "step": 749 + }, + { + "epoch": 0.12, + "learning_rate": 1.9591115051274456e-05, + "loss": 0.8093, + "step": 750 + }, + { + "epoch": 0.12, + "learning_rate": 1.958966352274962e-05, + "loss": 0.845, + "step": 751 + }, + { + "epoch": 0.12, + "learning_rate": 1.958820947631322e-05, + "loss": 0.8237, + "step": 752 + }, + { + "epoch": 0.12, + "learning_rate": 1.9586752912347037e-05, + "loss": 0.8176, + "step": 753 + }, + { + "epoch": 0.12, + "learning_rate": 1.9585293831233514e-05, + "loss": 0.766, + "step": 754 + }, + { + "epoch": 0.12, + "learning_rate": 1.9583832233355752e-05, + "loss": 0.8384, + "step": 755 + }, + { + "epoch": 0.12, + "learning_rate": 1.9582368119097518e-05, + "loss": 0.78, + "step": 756 + }, + { + "epoch": 0.12, + "learning_rate": 1.9580901488843236e-05, + "loss": 0.8652, + "step": 757 + }, + { + "epoch": 0.12, + "learning_rate": 1.9579432342977994e-05, + "loss": 0.7791, + "step": 758 + }, + { + "epoch": 0.12, + "learning_rate": 1.9577960681887535e-05, + "loss": 0.7651, + "step": 759 + }, + { + "epoch": 0.12, + "learning_rate": 1.957648650595827e-05, + "loss": 0.8293, + "step": 760 + }, + { + "epoch": 0.12, + "learning_rate": 1.9575009815577267e-05, + "loss": 0.8091, + "step": 761 + }, + { + "epoch": 0.12, + "learning_rate": 1.957353061113225e-05, + "loss": 0.7673, + "step": 762 + }, + { + "epoch": 0.12, + "learning_rate": 1.9572048893011603e-05, + "loss": 0.8026, + "step": 763 + }, + { + "epoch": 0.12, + "learning_rate": 1.9570564661604384e-05, + "loss": 0.7798, + "step": 764 + }, + { + "epoch": 0.12, + "learning_rate": 1.956907791730029e-05, + "loss": 0.8806, + "step": 765 + }, + { + "epoch": 0.12, + "learning_rate": 1.9567588660489695e-05, + "loss": 0.8359, + "step": 766 + }, + { + "epoch": 0.12, + "learning_rate": 1.9566096891563625e-05, + "loss": 0.7645, + "step": 767 + }, + { + "epoch": 0.12, + "learning_rate": 1.9564602610913763e-05, + "loss": 0.808, + "step": 768 + }, + { + "epoch": 0.12, + "learning_rate": 1.956310581893246e-05, + "loss": 0.8414, + "step": 769 + }, + { + "epoch": 0.12, + "learning_rate": 1.9561606516012718e-05, + "loss": 0.824, + "step": 770 + }, + { + "epoch": 0.12, + "learning_rate": 1.9560104702548202e-05, + "loss": 0.8669, + "step": 771 + }, + { + "epoch": 0.12, + "learning_rate": 1.9558600378933236e-05, + "loss": 0.7754, + "step": 772 + }, + { + "epoch": 0.12, + "learning_rate": 1.9557093545562802e-05, + "loss": 0.8071, + "step": 773 + }, + { + "epoch": 0.12, + "learning_rate": 1.9555584202832545e-05, + "loss": 0.7759, + "step": 774 + }, + { + "epoch": 0.12, + "learning_rate": 1.9554072351138765e-05, + "loss": 0.7993, + "step": 775 + }, + { + "epoch": 0.12, + "learning_rate": 1.955255799087842e-05, + "loss": 0.7763, + "step": 776 + }, + { + "epoch": 0.12, + "learning_rate": 1.9551041122449128e-05, + "loss": 0.834, + "step": 777 + }, + { + "epoch": 0.12, + "learning_rate": 1.954952174624917e-05, + "loss": 0.7539, + "step": 778 + }, + { + "epoch": 0.12, + "learning_rate": 1.9547999862677477e-05, + "loss": 0.7703, + "step": 779 + }, + { + "epoch": 0.12, + "learning_rate": 1.9546475472133642e-05, + "loss": 0.2872, + "step": 780 + }, + { + "epoch": 0.12, + "learning_rate": 1.9544948575017916e-05, + "loss": 0.7717, + "step": 781 + }, + { + "epoch": 0.12, + "learning_rate": 1.9543419171731216e-05, + "loss": 0.8254, + "step": 782 + }, + { + "epoch": 0.12, + "learning_rate": 1.9541887262675106e-05, + "loss": 0.7086, + "step": 783 + }, + { + "epoch": 0.12, + "learning_rate": 1.9540352848251806e-05, + "loss": 0.8268, + "step": 784 + }, + { + "epoch": 0.12, + "learning_rate": 1.953881592886421e-05, + "loss": 0.8037, + "step": 785 + }, + { + "epoch": 0.12, + "learning_rate": 1.9537276504915853e-05, + "loss": 0.827, + "step": 786 + }, + { + "epoch": 0.12, + "learning_rate": 1.9535734576810938e-05, + "loss": 0.8004, + "step": 787 + }, + { + "epoch": 0.12, + "learning_rate": 1.953419014495432e-05, + "loss": 0.7935, + "step": 788 + }, + { + "epoch": 0.12, + "learning_rate": 1.9532643209751508e-05, + "loss": 0.7836, + "step": 789 + }, + { + "epoch": 0.12, + "learning_rate": 1.9531093771608683e-05, + "loss": 0.7625, + "step": 790 + }, + { + "epoch": 0.13, + "learning_rate": 1.9529541830932666e-05, + "loss": 0.7778, + "step": 791 + }, + { + "epoch": 0.13, + "learning_rate": 1.9527987388130945e-05, + "loss": 0.7976, + "step": 792 + }, + { + "epoch": 0.13, + "learning_rate": 1.952643044361166e-05, + "loss": 0.759, + "step": 793 + }, + { + "epoch": 0.13, + "learning_rate": 1.9524870997783614e-05, + "loss": 0.7957, + "step": 794 + }, + { + "epoch": 0.13, + "learning_rate": 1.9523309051056264e-05, + "loss": 0.7988, + "step": 795 + }, + { + "epoch": 0.13, + "learning_rate": 1.952174460383972e-05, + "loss": 0.8643, + "step": 796 + }, + { + "epoch": 0.13, + "learning_rate": 1.9520177656544748e-05, + "loss": 0.816, + "step": 797 + }, + { + "epoch": 0.13, + "learning_rate": 1.9518608209582783e-05, + "loss": 0.7886, + "step": 798 + }, + { + "epoch": 0.13, + "learning_rate": 1.95170362633659e-05, + "loss": 0.2944, + "step": 799 + }, + { + "epoch": 0.13, + "learning_rate": 1.951546181830684e-05, + "loss": 0.814, + "step": 800 + }, + { + "epoch": 0.13, + "learning_rate": 1.9513884874818995e-05, + "loss": 0.8142, + "step": 801 + }, + { + "epoch": 0.13, + "learning_rate": 1.9512305433316418e-05, + "loss": 0.752, + "step": 802 + }, + { + "epoch": 0.13, + "learning_rate": 1.9510723494213813e-05, + "loss": 0.7844, + "step": 803 + }, + { + "epoch": 0.13, + "learning_rate": 1.9509139057926546e-05, + "loss": 0.8738, + "step": 804 + }, + { + "epoch": 0.13, + "learning_rate": 1.950755212487063e-05, + "loss": 0.792, + "step": 805 + }, + { + "epoch": 0.13, + "learning_rate": 1.9505962695462743e-05, + "loss": 0.7401, + "step": 806 + }, + { + "epoch": 0.13, + "learning_rate": 1.9504370770120208e-05, + "loss": 0.877, + "step": 807 + }, + { + "epoch": 0.13, + "learning_rate": 1.9502776349261015e-05, + "loss": 0.7773, + "step": 808 + }, + { + "epoch": 0.13, + "learning_rate": 1.95011794333038e-05, + "loss": 0.8024, + "step": 809 + }, + { + "epoch": 0.13, + "learning_rate": 1.9499580022667856e-05, + "loss": 0.7686, + "step": 810 + }, + { + "epoch": 0.13, + "learning_rate": 1.9497978117773137e-05, + "loss": 0.8088, + "step": 811 + }, + { + "epoch": 0.13, + "learning_rate": 1.9496373719040246e-05, + "loss": 0.7621, + "step": 812 + }, + { + "epoch": 0.13, + "learning_rate": 1.9494766826890445e-05, + "loss": 0.8257, + "step": 813 + }, + { + "epoch": 0.13, + "learning_rate": 1.949315744174564e-05, + "loss": 0.8503, + "step": 814 + }, + { + "epoch": 0.13, + "learning_rate": 1.9491545564028402e-05, + "loss": 0.8323, + "step": 815 + }, + { + "epoch": 0.13, + "learning_rate": 1.948993119416196e-05, + "loss": 0.7971, + "step": 816 + }, + { + "epoch": 0.13, + "learning_rate": 1.9488314332570183e-05, + "loss": 0.7306, + "step": 817 + }, + { + "epoch": 0.13, + "learning_rate": 1.948669497967761e-05, + "loss": 0.8103, + "step": 818 + }, + { + "epoch": 0.13, + "learning_rate": 1.948507313590942e-05, + "loss": 0.7986, + "step": 819 + }, + { + "epoch": 0.13, + "learning_rate": 1.9483448801691462e-05, + "loss": 0.7793, + "step": 820 + }, + { + "epoch": 0.13, + "learning_rate": 1.948182197745022e-05, + "loss": 0.7902, + "step": 821 + }, + { + "epoch": 0.13, + "learning_rate": 1.9480192663612843e-05, + "loss": 0.8137, + "step": 822 + }, + { + "epoch": 0.13, + "learning_rate": 1.9478560860607135e-05, + "loss": 0.8022, + "step": 823 + }, + { + "epoch": 0.13, + "learning_rate": 1.9476926568861548e-05, + "loss": 0.8186, + "step": 824 + }, + { + "epoch": 0.13, + "learning_rate": 1.9475289788805195e-05, + "loss": 0.7996, + "step": 825 + }, + { + "epoch": 0.13, + "learning_rate": 1.9473650520867837e-05, + "loss": 0.8176, + "step": 826 + }, + { + "epoch": 0.13, + "learning_rate": 1.947200876547988e-05, + "loss": 0.8125, + "step": 827 + }, + { + "epoch": 0.13, + "learning_rate": 1.94703645230724e-05, + "loss": 0.7629, + "step": 828 + }, + { + "epoch": 0.13, + "learning_rate": 1.9468717794077113e-05, + "loss": 0.7579, + "step": 829 + }, + { + "epoch": 0.13, + "learning_rate": 1.9467068578926397e-05, + "loss": 0.7832, + "step": 830 + }, + { + "epoch": 0.13, + "learning_rate": 1.9465416878053275e-05, + "loss": 0.7754, + "step": 831 + }, + { + "epoch": 0.13, + "learning_rate": 1.946376269189143e-05, + "loss": 0.8262, + "step": 832 + }, + { + "epoch": 0.13, + "learning_rate": 1.946210602087519e-05, + "loss": 0.8523, + "step": 833 + }, + { + "epoch": 0.13, + "learning_rate": 1.946044686543954e-05, + "loss": 0.7241, + "step": 834 + }, + { + "epoch": 0.13, + "learning_rate": 1.9458785226020117e-05, + "loss": 0.8469, + "step": 835 + }, + { + "epoch": 0.13, + "learning_rate": 1.9457121103053208e-05, + "loss": 0.3026, + "step": 836 + }, + { + "epoch": 0.13, + "learning_rate": 1.9455454496975756e-05, + "loss": 0.7848, + "step": 837 + }, + { + "epoch": 0.13, + "learning_rate": 1.9453785408225353e-05, + "loss": 0.7999, + "step": 838 + }, + { + "epoch": 0.13, + "learning_rate": 1.9452113837240242e-05, + "loss": 0.8239, + "step": 839 + }, + { + "epoch": 0.13, + "learning_rate": 1.9450439784459323e-05, + "loss": 0.8765, + "step": 840 + }, + { + "epoch": 0.13, + "learning_rate": 1.944876325032214e-05, + "loss": 0.733, + "step": 841 + }, + { + "epoch": 0.13, + "learning_rate": 1.9447084235268895e-05, + "loss": 0.7833, + "step": 842 + }, + { + "epoch": 0.13, + "learning_rate": 1.9445402739740436e-05, + "loss": 0.7382, + "step": 843 + }, + { + "epoch": 0.13, + "learning_rate": 1.944371876417827e-05, + "loss": 0.2951, + "step": 844 + }, + { + "epoch": 0.13, + "learning_rate": 1.9442032309024543e-05, + "loss": 0.7412, + "step": 845 + }, + { + "epoch": 0.13, + "learning_rate": 1.9440343374722065e-05, + "loss": 0.8008, + "step": 846 + }, + { + "epoch": 0.13, + "learning_rate": 1.9438651961714293e-05, + "loss": 0.7715, + "step": 847 + }, + { + "epoch": 0.13, + "learning_rate": 1.9436958070445327e-05, + "loss": 0.7568, + "step": 848 + }, + { + "epoch": 0.13, + "learning_rate": 1.943526170135993e-05, + "loss": 0.8596, + "step": 849 + }, + { + "epoch": 0.13, + "learning_rate": 1.9433562854903502e-05, + "loss": 0.7937, + "step": 850 + }, + { + "epoch": 0.13, + "learning_rate": 1.9431861531522108e-05, + "loss": 0.8236, + "step": 851 + }, + { + "epoch": 0.13, + "learning_rate": 1.9430157731662453e-05, + "loss": 0.8279, + "step": 852 + }, + { + "epoch": 0.13, + "learning_rate": 1.9428451455771896e-05, + "loss": 0.8035, + "step": 853 + }, + { + "epoch": 0.14, + "learning_rate": 1.9426742704298446e-05, + "loss": 0.8198, + "step": 854 + }, + { + "epoch": 0.14, + "learning_rate": 1.9425031477690762e-05, + "loss": 0.8181, + "step": 855 + }, + { + "epoch": 0.14, + "learning_rate": 1.9423317776398152e-05, + "loss": 0.8245, + "step": 856 + }, + { + "epoch": 0.14, + "learning_rate": 1.9421601600870573e-05, + "loss": 0.7565, + "step": 857 + }, + { + "epoch": 0.14, + "learning_rate": 1.9419882951558633e-05, + "loss": 0.78, + "step": 858 + }, + { + "epoch": 0.14, + "learning_rate": 1.9418161828913594e-05, + "loss": 0.7649, + "step": 859 + }, + { + "epoch": 0.14, + "learning_rate": 1.9416438233387355e-05, + "loss": 0.7749, + "step": 860 + }, + { + "epoch": 0.14, + "learning_rate": 1.941471216543248e-05, + "loss": 0.8237, + "step": 861 + }, + { + "epoch": 0.14, + "learning_rate": 1.9412983625502165e-05, + "loss": 0.8418, + "step": 862 + }, + { + "epoch": 0.14, + "learning_rate": 1.9411252614050274e-05, + "loss": 0.8038, + "step": 863 + }, + { + "epoch": 0.14, + "learning_rate": 1.9409519131531308e-05, + "loss": 0.7827, + "step": 864 + }, + { + "epoch": 0.14, + "learning_rate": 1.9407783178400413e-05, + "loss": 0.8208, + "step": 865 + }, + { + "epoch": 0.14, + "learning_rate": 1.9406044755113397e-05, + "loss": 0.8311, + "step": 866 + }, + { + "epoch": 0.14, + "learning_rate": 1.9404303862126707e-05, + "loss": 0.8325, + "step": 867 + }, + { + "epoch": 0.14, + "learning_rate": 1.940256049989744e-05, + "loss": 0.8335, + "step": 868 + }, + { + "epoch": 0.14, + "learning_rate": 1.9400814668883342e-05, + "loss": 0.8391, + "step": 869 + }, + { + "epoch": 0.14, + "learning_rate": 1.9399066369542808e-05, + "loss": 0.8269, + "step": 870 + }, + { + "epoch": 0.14, + "learning_rate": 1.9397315602334882e-05, + "loss": 0.792, + "step": 871 + }, + { + "epoch": 0.14, + "learning_rate": 1.939556236771925e-05, + "loss": 0.282, + "step": 872 + }, + { + "epoch": 0.14, + "learning_rate": 1.9393806666156255e-05, + "loss": 0.8069, + "step": 873 + }, + { + "epoch": 0.14, + "learning_rate": 1.9392048498106884e-05, + "loss": 0.2765, + "step": 874 + }, + { + "epoch": 0.14, + "learning_rate": 1.9390287864032764e-05, + "loss": 0.8259, + "step": 875 + }, + { + "epoch": 0.14, + "learning_rate": 1.9388524764396184e-05, + "loss": 0.7944, + "step": 876 + }, + { + "epoch": 0.14, + "learning_rate": 1.938675919966007e-05, + "loss": 0.8276, + "step": 877 + }, + { + "epoch": 0.14, + "learning_rate": 1.938499117028799e-05, + "loss": 0.7539, + "step": 878 + }, + { + "epoch": 0.14, + "learning_rate": 1.938322067674418e-05, + "loss": 0.8013, + "step": 879 + }, + { + "epoch": 0.14, + "learning_rate": 1.93814477194935e-05, + "loss": 0.8391, + "step": 880 + }, + { + "epoch": 0.14, + "learning_rate": 1.9379672299001472e-05, + "loss": 0.8425, + "step": 881 + }, + { + "epoch": 0.14, + "learning_rate": 1.9377894415734257e-05, + "loss": 0.8273, + "step": 882 + }, + { + "epoch": 0.14, + "learning_rate": 1.9376114070158666e-05, + "loss": 0.8176, + "step": 883 + }, + { + "epoch": 0.14, + "learning_rate": 1.9374331262742156e-05, + "loss": 0.8374, + "step": 884 + }, + { + "epoch": 0.14, + "learning_rate": 1.9372545993952832e-05, + "loss": 0.7694, + "step": 885 + }, + { + "epoch": 0.14, + "learning_rate": 1.937075826425944e-05, + "loss": 0.8066, + "step": 886 + }, + { + "epoch": 0.14, + "learning_rate": 1.9368968074131374e-05, + "loss": 0.8877, + "step": 887 + }, + { + "epoch": 0.14, + "learning_rate": 1.936717542403868e-05, + "loss": 0.8328, + "step": 888 + }, + { + "epoch": 0.14, + "learning_rate": 1.936538031445205e-05, + "loss": 0.8232, + "step": 889 + }, + { + "epoch": 0.14, + "learning_rate": 1.9363582745842803e-05, + "loss": 0.8567, + "step": 890 + }, + { + "epoch": 0.14, + "learning_rate": 1.9361782718682928e-05, + "loss": 0.801, + "step": 891 + }, + { + "epoch": 0.14, + "learning_rate": 1.9359980233445048e-05, + "loss": 0.3008, + "step": 892 + }, + { + "epoch": 0.14, + "learning_rate": 1.9358175290602434e-05, + "loss": 0.2917, + "step": 893 + }, + { + "epoch": 0.14, + "learning_rate": 1.9356367890628997e-05, + "loss": 0.8315, + "step": 894 + }, + { + "epoch": 0.14, + "learning_rate": 1.93545580339993e-05, + "loss": 0.7676, + "step": 895 + }, + { + "epoch": 0.14, + "learning_rate": 1.935274572118855e-05, + "loss": 0.8101, + "step": 896 + }, + { + "epoch": 0.14, + "learning_rate": 1.9350930952672593e-05, + "loss": 0.756, + "step": 897 + }, + { + "epoch": 0.14, + "learning_rate": 1.9349113728927928e-05, + "loss": 0.752, + "step": 898 + }, + { + "epoch": 0.14, + "learning_rate": 1.934729405043169e-05, + "loss": 0.8225, + "step": 899 + }, + { + "epoch": 0.14, + "learning_rate": 1.9345471917661672e-05, + "loss": 0.7955, + "step": 900 + }, + { + "epoch": 0.14, + "learning_rate": 1.9343647331096293e-05, + "loss": 0.8223, + "step": 901 + }, + { + "epoch": 0.14, + "learning_rate": 1.9341820291214626e-05, + "loss": 0.7887, + "step": 902 + }, + { + "epoch": 0.14, + "learning_rate": 1.9339990798496395e-05, + "loss": 0.8469, + "step": 903 + }, + { + "epoch": 0.14, + "learning_rate": 1.9338158853421957e-05, + "loss": 0.8281, + "step": 904 + }, + { + "epoch": 0.14, + "learning_rate": 1.933632445647232e-05, + "loss": 0.7264, + "step": 905 + }, + { + "epoch": 0.14, + "learning_rate": 1.9334487608129128e-05, + "loss": 0.7711, + "step": 906 + }, + { + "epoch": 0.14, + "learning_rate": 1.9332648308874674e-05, + "loss": 0.8088, + "step": 907 + }, + { + "epoch": 0.14, + "learning_rate": 1.9330806559191898e-05, + "loss": 0.8552, + "step": 908 + }, + { + "epoch": 0.14, + "learning_rate": 1.9328962359564375e-05, + "loss": 0.8098, + "step": 909 + }, + { + "epoch": 0.14, + "learning_rate": 1.932711571047633e-05, + "loss": 0.8423, + "step": 910 + }, + { + "epoch": 0.14, + "learning_rate": 1.9325266612412627e-05, + "loss": 0.8231, + "step": 911 + }, + { + "epoch": 0.14, + "learning_rate": 1.932341506585878e-05, + "loss": 0.8074, + "step": 912 + }, + { + "epoch": 0.14, + "learning_rate": 1.932156107130093e-05, + "loss": 0.7126, + "step": 913 + }, + { + "epoch": 0.14, + "learning_rate": 1.931970462922588e-05, + "loss": 0.907, + "step": 914 + }, + { + "epoch": 0.14, + "learning_rate": 1.931784574012107e-05, + "loss": 0.8545, + "step": 915 + }, + { + "epoch": 0.14, + "learning_rate": 1.931598440447457e-05, + "loss": 0.7896, + "step": 916 + }, + { + "epoch": 0.15, + "learning_rate": 1.9314120622775106e-05, + "loss": 0.7897, + "step": 917 + }, + { + "epoch": 0.15, + "learning_rate": 1.9312254395512045e-05, + "loss": 0.2995, + "step": 918 + }, + { + "epoch": 0.15, + "learning_rate": 1.9310385723175388e-05, + "loss": 0.7604, + "step": 919 + }, + { + "epoch": 0.15, + "learning_rate": 1.9308514606255787e-05, + "loss": 0.8085, + "step": 920 + }, + { + "epoch": 0.15, + "learning_rate": 1.930664104524453e-05, + "loss": 0.7466, + "step": 921 + }, + { + "epoch": 0.15, + "learning_rate": 1.9304765040633552e-05, + "loss": 0.7471, + "step": 922 + }, + { + "epoch": 0.15, + "learning_rate": 1.9302886592915426e-05, + "loss": 0.7639, + "step": 923 + }, + { + "epoch": 0.15, + "learning_rate": 1.930100570258336e-05, + "loss": 0.2759, + "step": 924 + }, + { + "epoch": 0.15, + "learning_rate": 1.929912237013122e-05, + "loss": 0.7581, + "step": 925 + }, + { + "epoch": 0.15, + "learning_rate": 1.9297236596053498e-05, + "loss": 0.8162, + "step": 926 + }, + { + "epoch": 0.15, + "learning_rate": 1.9295348380845335e-05, + "loss": 0.8364, + "step": 927 + }, + { + "epoch": 0.15, + "learning_rate": 1.9293457725002506e-05, + "loss": 0.8562, + "step": 928 + }, + { + "epoch": 0.15, + "learning_rate": 1.9291564629021437e-05, + "loss": 0.8428, + "step": 929 + }, + { + "epoch": 0.15, + "learning_rate": 1.9289669093399187e-05, + "loss": 0.8037, + "step": 930 + }, + { + "epoch": 0.15, + "learning_rate": 1.9287771118633455e-05, + "loss": 0.2648, + "step": 931 + }, + { + "epoch": 0.15, + "learning_rate": 1.9285870705222585e-05, + "loss": 0.7034, + "step": 932 + }, + { + "epoch": 0.15, + "learning_rate": 1.928396785366556e-05, + "loss": 0.8254, + "step": 933 + }, + { + "epoch": 0.15, + "learning_rate": 1.9282062564462003e-05, + "loss": 0.7373, + "step": 934 + }, + { + "epoch": 0.15, + "learning_rate": 1.928015483811218e-05, + "loss": 0.8281, + "step": 935 + }, + { + "epoch": 0.15, + "learning_rate": 1.927824467511698e-05, + "loss": 0.8533, + "step": 936 + }, + { + "epoch": 0.15, + "learning_rate": 1.9276332075977962e-05, + "loss": 0.818, + "step": 937 + }, + { + "epoch": 0.15, + "learning_rate": 1.9274417041197297e-05, + "loss": 0.7479, + "step": 938 + }, + { + "epoch": 0.15, + "learning_rate": 1.927249957127781e-05, + "loss": 0.8221, + "step": 939 + }, + { + "epoch": 0.15, + "learning_rate": 1.927057966672296e-05, + "loss": 0.2922, + "step": 940 + }, + { + "epoch": 0.15, + "learning_rate": 1.9268657328036853e-05, + "loss": 0.8101, + "step": 941 + }, + { + "epoch": 0.15, + "learning_rate": 1.9266732555724223e-05, + "loss": 0.8145, + "step": 942 + }, + { + "epoch": 0.15, + "learning_rate": 1.9264805350290447e-05, + "loss": 0.7661, + "step": 943 + }, + { + "epoch": 0.15, + "learning_rate": 1.9262875712241548e-05, + "loss": 0.7339, + "step": 944 + }, + { + "epoch": 0.15, + "learning_rate": 1.9260943642084172e-05, + "loss": 0.7927, + "step": 945 + }, + { + "epoch": 0.15, + "learning_rate": 1.9259009140325622e-05, + "loss": 0.824, + "step": 946 + }, + { + "epoch": 0.15, + "learning_rate": 1.9257072207473828e-05, + "loss": 0.8014, + "step": 947 + }, + { + "epoch": 0.15, + "learning_rate": 1.925513284403736e-05, + "loss": 0.8186, + "step": 948 + }, + { + "epoch": 0.15, + "learning_rate": 1.925319105052543e-05, + "loss": 0.7689, + "step": 949 + }, + { + "epoch": 0.15, + "learning_rate": 1.925124682744788e-05, + "loss": 0.8523, + "step": 950 + }, + { + "epoch": 0.15, + "learning_rate": 1.9249300175315202e-05, + "loss": 0.7773, + "step": 951 + }, + { + "epoch": 0.15, + "learning_rate": 1.9247351094638514e-05, + "loss": 0.8008, + "step": 952 + }, + { + "epoch": 0.15, + "learning_rate": 1.9245399585929577e-05, + "loss": 0.7573, + "step": 953 + }, + { + "epoch": 0.15, + "learning_rate": 1.9243445649700795e-05, + "loss": 0.8757, + "step": 954 + }, + { + "epoch": 0.15, + "learning_rate": 1.9241489286465196e-05, + "loss": 0.793, + "step": 955 + }, + { + "epoch": 0.15, + "learning_rate": 1.9239530496736458e-05, + "loss": 0.7804, + "step": 956 + }, + { + "epoch": 0.15, + "learning_rate": 1.9237569281028888e-05, + "loss": 0.8345, + "step": 957 + }, + { + "epoch": 0.15, + "learning_rate": 1.9235605639857433e-05, + "loss": 0.7482, + "step": 958 + }, + { + "epoch": 0.15, + "learning_rate": 1.923363957373768e-05, + "loss": 0.8245, + "step": 959 + }, + { + "epoch": 0.15, + "learning_rate": 1.9231671083185847e-05, + "loss": 0.8169, + "step": 960 + }, + { + "epoch": 0.15, + "learning_rate": 1.922970016871879e-05, + "loss": 0.8293, + "step": 961 + }, + { + "epoch": 0.15, + "learning_rate": 1.9227726830854005e-05, + "loss": 0.7493, + "step": 962 + }, + { + "epoch": 0.15, + "learning_rate": 1.9225751070109616e-05, + "loss": 0.8036, + "step": 963 + }, + { + "epoch": 0.15, + "learning_rate": 1.92237728870044e-05, + "loss": 0.7666, + "step": 964 + }, + { + "epoch": 0.15, + "learning_rate": 1.9221792282057747e-05, + "loss": 0.7488, + "step": 965 + }, + { + "epoch": 0.15, + "learning_rate": 1.9219809255789706e-05, + "loss": 0.79, + "step": 966 + }, + { + "epoch": 0.15, + "learning_rate": 1.921782380872094e-05, + "loss": 0.845, + "step": 967 + }, + { + "epoch": 0.15, + "learning_rate": 1.9215835941372765e-05, + "loss": 0.7938, + "step": 968 + }, + { + "epoch": 0.15, + "learning_rate": 1.9213845654267126e-05, + "loss": 0.8281, + "step": 969 + }, + { + "epoch": 0.15, + "learning_rate": 1.9211852947926596e-05, + "loss": 0.8208, + "step": 970 + }, + { + "epoch": 0.15, + "learning_rate": 1.9209857822874398e-05, + "loss": 0.7769, + "step": 971 + }, + { + "epoch": 0.15, + "learning_rate": 1.9207860279634382e-05, + "loss": 0.8584, + "step": 972 + }, + { + "epoch": 0.15, + "learning_rate": 1.9205860318731023e-05, + "loss": 0.822, + "step": 973 + }, + { + "epoch": 0.15, + "learning_rate": 1.9203857940689455e-05, + "loss": 0.8813, + "step": 974 + }, + { + "epoch": 0.15, + "learning_rate": 1.9201853146035424e-05, + "loss": 0.7756, + "step": 975 + }, + { + "epoch": 0.15, + "learning_rate": 1.9199845935295324e-05, + "loss": 0.8257, + "step": 976 + }, + { + "epoch": 0.15, + "learning_rate": 1.9197836308996175e-05, + "loss": 0.8545, + "step": 977 + }, + { + "epoch": 0.15, + "learning_rate": 1.9195824267665636e-05, + "loss": 0.7993, + "step": 978 + }, + { + "epoch": 0.15, + "learning_rate": 1.9193809811832e-05, + "loss": 0.7859, + "step": 979 + }, + { + "epoch": 0.16, + "learning_rate": 1.9191792942024192e-05, + "loss": 0.7842, + "step": 980 + }, + { + "epoch": 0.16, + "learning_rate": 1.9189773658771774e-05, + "loss": 0.7146, + "step": 981 + }, + { + "epoch": 0.16, + "learning_rate": 1.9187751962604933e-05, + "loss": 0.8005, + "step": 982 + }, + { + "epoch": 0.16, + "learning_rate": 1.9185727854054504e-05, + "loss": 0.7965, + "step": 983 + }, + { + "epoch": 0.16, + "learning_rate": 1.9183701333651943e-05, + "loss": 0.8083, + "step": 984 + }, + { + "epoch": 0.16, + "learning_rate": 1.9181672401929344e-05, + "loss": 0.823, + "step": 985 + }, + { + "epoch": 0.16, + "learning_rate": 1.9179641059419433e-05, + "loss": 0.825, + "step": 986 + }, + { + "epoch": 0.16, + "learning_rate": 1.917760730665557e-05, + "loss": 0.8152, + "step": 987 + }, + { + "epoch": 0.16, + "learning_rate": 1.917557114417175e-05, + "loss": 0.7759, + "step": 988 + }, + { + "epoch": 0.16, + "learning_rate": 1.91735325725026e-05, + "loss": 0.813, + "step": 989 + }, + { + "epoch": 0.16, + "learning_rate": 1.9171491592183373e-05, + "loss": 0.7886, + "step": 990 + }, + { + "epoch": 0.16, + "learning_rate": 1.9169448203749955e-05, + "loss": 0.2891, + "step": 991 + }, + { + "epoch": 0.16, + "learning_rate": 1.9167402407738883e-05, + "loss": 0.792, + "step": 992 + }, + { + "epoch": 0.16, + "learning_rate": 1.91653542046873e-05, + "loss": 0.7764, + "step": 993 + }, + { + "epoch": 0.16, + "learning_rate": 1.9163303595132997e-05, + "loss": 0.7631, + "step": 994 + }, + { + "epoch": 0.16, + "learning_rate": 1.916125057961439e-05, + "loss": 0.8506, + "step": 995 + }, + { + "epoch": 0.16, + "learning_rate": 1.9159195158670532e-05, + "loss": 0.8184, + "step": 996 + }, + { + "epoch": 0.16, + "learning_rate": 1.9157137332841103e-05, + "loss": 0.8296, + "step": 997 + }, + { + "epoch": 0.16, + "learning_rate": 1.915507710266642e-05, + "loss": 0.8389, + "step": 998 + }, + { + "epoch": 0.16, + "learning_rate": 1.9153014468687425e-05, + "loss": 0.7708, + "step": 999 + }, + { + "epoch": 0.16, + "learning_rate": 1.9150949431445695e-05, + "loss": 0.8186, + "step": 1000 + }, + { + "epoch": 0.16, + "learning_rate": 1.9148881991483432e-05, + "loss": 0.7803, + "step": 1001 + }, + { + "epoch": 0.16, + "learning_rate": 1.914681214934348e-05, + "loss": 0.7859, + "step": 1002 + }, + { + "epoch": 0.16, + "learning_rate": 1.9144739905569307e-05, + "loss": 0.2759, + "step": 1003 + }, + { + "epoch": 0.16, + "learning_rate": 1.9142665260705008e-05, + "loss": 0.8643, + "step": 1004 + }, + { + "epoch": 0.16, + "learning_rate": 1.9140588215295316e-05, + "loss": 0.7852, + "step": 1005 + }, + { + "epoch": 0.16, + "learning_rate": 1.9138508769885588e-05, + "loss": 0.8279, + "step": 1006 + }, + { + "epoch": 0.16, + "learning_rate": 1.9136426925021815e-05, + "loss": 0.853, + "step": 1007 + }, + { + "epoch": 0.16, + "learning_rate": 1.9134342681250614e-05, + "loss": 0.7361, + "step": 1008 + }, + { + "epoch": 0.16, + "learning_rate": 1.9132256039119244e-05, + "loss": 0.812, + "step": 1009 + }, + { + "epoch": 0.16, + "learning_rate": 1.9130166999175578e-05, + "loss": 0.7922, + "step": 1010 + }, + { + "epoch": 0.16, + "learning_rate": 1.912807556196812e-05, + "loss": 0.7235, + "step": 1011 + }, + { + "epoch": 0.16, + "learning_rate": 1.912598172804602e-05, + "loss": 0.7695, + "step": 1012 + }, + { + "epoch": 0.16, + "learning_rate": 1.9123885497959035e-05, + "loss": 0.8247, + "step": 1013 + }, + { + "epoch": 0.16, + "learning_rate": 1.912178687225757e-05, + "loss": 0.7981, + "step": 1014 + }, + { + "epoch": 0.16, + "learning_rate": 1.911968585149265e-05, + "loss": 0.8527, + "step": 1015 + }, + { + "epoch": 0.16, + "learning_rate": 1.9117582436215922e-05, + "loss": 0.8601, + "step": 1016 + }, + { + "epoch": 0.16, + "learning_rate": 1.911547662697968e-05, + "loss": 0.7932, + "step": 1017 + }, + { + "epoch": 0.16, + "learning_rate": 1.911336842433683e-05, + "loss": 0.7408, + "step": 1018 + }, + { + "epoch": 0.16, + "learning_rate": 1.9111257828840916e-05, + "loss": 0.78, + "step": 1019 + }, + { + "epoch": 0.16, + "learning_rate": 1.9109144841046105e-05, + "loss": 0.8018, + "step": 1020 + }, + { + "epoch": 0.16, + "learning_rate": 1.910702946150719e-05, + "loss": 0.7855, + "step": 1021 + }, + { + "epoch": 0.16, + "learning_rate": 1.9104911690779605e-05, + "loss": 0.8052, + "step": 1022 + }, + { + "epoch": 0.16, + "learning_rate": 1.9102791529419392e-05, + "loss": 0.7834, + "step": 1023 + }, + { + "epoch": 0.16, + "learning_rate": 1.9100668977983242e-05, + "loss": 0.7852, + "step": 1024 + }, + { + "epoch": 0.16, + "learning_rate": 1.9098544037028456e-05, + "loss": 0.7986, + "step": 1025 + }, + { + "epoch": 0.16, + "learning_rate": 1.9096416707112973e-05, + "loss": 0.7758, + "step": 1026 + }, + { + "epoch": 0.16, + "learning_rate": 1.9094286988795356e-05, + "loss": 0.8203, + "step": 1027 + }, + { + "epoch": 0.16, + "learning_rate": 1.9092154882634793e-05, + "loss": 0.8335, + "step": 1028 + }, + { + "epoch": 0.16, + "learning_rate": 1.90900203891911e-05, + "loss": 0.7607, + "step": 1029 + }, + { + "epoch": 0.16, + "learning_rate": 1.908788350902472e-05, + "loss": 0.7091, + "step": 1030 + }, + { + "epoch": 0.16, + "learning_rate": 1.9085744242696728e-05, + "loss": 0.7308, + "step": 1031 + }, + { + "epoch": 0.16, + "learning_rate": 1.9083602590768818e-05, + "loss": 0.76, + "step": 1032 + }, + { + "epoch": 0.16, + "learning_rate": 1.908145855380331e-05, + "loss": 0.7371, + "step": 1033 + }, + { + "epoch": 0.16, + "learning_rate": 1.907931213236316e-05, + "loss": 0.7817, + "step": 1034 + }, + { + "epoch": 0.16, + "learning_rate": 1.9077163327011936e-05, + "loss": 0.7467, + "step": 1035 + }, + { + "epoch": 0.16, + "learning_rate": 1.9075012138313845e-05, + "loss": 0.8364, + "step": 1036 + }, + { + "epoch": 0.16, + "learning_rate": 1.9072858566833713e-05, + "loss": 0.8276, + "step": 1037 + }, + { + "epoch": 0.16, + "learning_rate": 1.9070702613136995e-05, + "loss": 0.7942, + "step": 1038 + }, + { + "epoch": 0.16, + "learning_rate": 1.9068544277789763e-05, + "loss": 0.2924, + "step": 1039 + }, + { + "epoch": 0.16, + "learning_rate": 1.9066383561358727e-05, + "loss": 0.8149, + "step": 1040 + }, + { + "epoch": 0.16, + "learning_rate": 1.9064220464411215e-05, + "loss": 0.7573, + "step": 1041 + }, + { + "epoch": 0.16, + "learning_rate": 1.9062054987515173e-05, + "loss": 0.8043, + "step": 1042 + }, + { + "epoch": 0.17, + "learning_rate": 1.905988713123919e-05, + "loss": 0.3183, + "step": 1043 + }, + { + "epoch": 0.17, + "learning_rate": 1.905771689615247e-05, + "loss": 0.7937, + "step": 1044 + }, + { + "epoch": 0.17, + "learning_rate": 1.905554428282483e-05, + "loss": 0.7925, + "step": 1045 + }, + { + "epoch": 0.17, + "learning_rate": 1.9053369291826735e-05, + "loss": 0.7957, + "step": 1046 + }, + { + "epoch": 0.17, + "learning_rate": 1.905119192372925e-05, + "loss": 0.7742, + "step": 1047 + }, + { + "epoch": 0.17, + "learning_rate": 1.9049012179104086e-05, + "loss": 0.7345, + "step": 1048 + }, + { + "epoch": 0.17, + "learning_rate": 1.904683005852356e-05, + "loss": 0.7455, + "step": 1049 + }, + { + "epoch": 0.17, + "learning_rate": 1.9044645562560632e-05, + "loss": 0.8047, + "step": 1050 + }, + { + "epoch": 0.17, + "learning_rate": 1.904245869178886e-05, + "loss": 0.8379, + "step": 1051 + }, + { + "epoch": 0.17, + "learning_rate": 1.9040269446782453e-05, + "loss": 0.8188, + "step": 1052 + }, + { + "epoch": 0.17, + "learning_rate": 1.9038077828116225e-05, + "loss": 0.811, + "step": 1053 + }, + { + "epoch": 0.17, + "learning_rate": 1.9035883836365613e-05, + "loss": 0.7668, + "step": 1054 + }, + { + "epoch": 0.17, + "learning_rate": 1.9033687472106693e-05, + "loss": 0.7933, + "step": 1055 + }, + { + "epoch": 0.17, + "learning_rate": 1.903148873591615e-05, + "loss": 0.8195, + "step": 1056 + }, + { + "epoch": 0.17, + "learning_rate": 1.9029287628371292e-05, + "loss": 0.3271, + "step": 1057 + }, + { + "epoch": 0.17, + "learning_rate": 1.9027084150050063e-05, + "loss": 0.7589, + "step": 1058 + }, + { + "epoch": 0.17, + "learning_rate": 1.9024878301531005e-05, + "loss": 0.7836, + "step": 1059 + }, + { + "epoch": 0.17, + "learning_rate": 1.902267008339331e-05, + "loss": 0.729, + "step": 1060 + }, + { + "epoch": 0.17, + "learning_rate": 1.902045949621677e-05, + "loss": 0.8032, + "step": 1061 + }, + { + "epoch": 0.17, + "learning_rate": 1.9018246540581814e-05, + "loss": 0.7731, + "step": 1062 + }, + { + "epoch": 0.17, + "learning_rate": 1.9016031217069483e-05, + "loss": 0.8258, + "step": 1063 + }, + { + "epoch": 0.17, + "learning_rate": 1.9013813526261448e-05, + "loss": 0.7769, + "step": 1064 + }, + { + "epoch": 0.17, + "learning_rate": 1.9011593468739993e-05, + "loss": 0.7535, + "step": 1065 + }, + { + "epoch": 0.17, + "learning_rate": 1.9009371045088033e-05, + "loss": 0.8411, + "step": 1066 + }, + { + "epoch": 0.17, + "learning_rate": 1.9007146255889093e-05, + "loss": 0.2977, + "step": 1067 + }, + { + "epoch": 0.17, + "learning_rate": 1.900491910172733e-05, + "loss": 0.8215, + "step": 1068 + }, + { + "epoch": 0.17, + "learning_rate": 1.9002689583187514e-05, + "loss": 0.7395, + "step": 1069 + }, + { + "epoch": 0.17, + "learning_rate": 1.900045770085504e-05, + "loss": 0.8035, + "step": 1070 + }, + { + "epoch": 0.17, + "learning_rate": 1.8998223455315924e-05, + "loss": 0.7903, + "step": 1071 + }, + { + "epoch": 0.17, + "learning_rate": 1.89959868471568e-05, + "loss": 0.8394, + "step": 1072 + }, + { + "epoch": 0.17, + "learning_rate": 1.899374787696492e-05, + "loss": 0.7925, + "step": 1073 + }, + { + "epoch": 0.17, + "learning_rate": 1.8991506545328166e-05, + "loss": 0.7866, + "step": 1074 + }, + { + "epoch": 0.17, + "learning_rate": 1.8989262852835032e-05, + "loss": 0.3082, + "step": 1075 + }, + { + "epoch": 0.17, + "learning_rate": 1.8987016800074627e-05, + "loss": 0.8105, + "step": 1076 + }, + { + "epoch": 0.17, + "learning_rate": 1.8984768387636694e-05, + "loss": 0.7561, + "step": 1077 + }, + { + "epoch": 0.17, + "learning_rate": 1.8982517616111586e-05, + "loss": 0.8167, + "step": 1078 + }, + { + "epoch": 0.17, + "learning_rate": 1.898026448609027e-05, + "loss": 0.7957, + "step": 1079 + }, + { + "epoch": 0.17, + "learning_rate": 1.897800899816435e-05, + "loss": 0.8621, + "step": 1080 + }, + { + "epoch": 0.17, + "learning_rate": 1.8975751152926034e-05, + "loss": 0.7856, + "step": 1081 + }, + { + "epoch": 0.17, + "learning_rate": 1.8973490950968152e-05, + "loss": 0.7991, + "step": 1082 + }, + { + "epoch": 0.17, + "learning_rate": 1.8971228392884153e-05, + "loss": 0.814, + "step": 1083 + }, + { + "epoch": 0.17, + "learning_rate": 1.8968963479268114e-05, + "loss": 0.8306, + "step": 1084 + }, + { + "epoch": 0.17, + "learning_rate": 1.8966696210714714e-05, + "loss": 0.2463, + "step": 1085 + }, + { + "epoch": 0.17, + "learning_rate": 1.8964426587819265e-05, + "loss": 0.8511, + "step": 1086 + }, + { + "epoch": 0.17, + "learning_rate": 1.8962154611177684e-05, + "loss": 0.8364, + "step": 1087 + }, + { + "epoch": 0.17, + "learning_rate": 1.8959880281386517e-05, + "loss": 0.7571, + "step": 1088 + }, + { + "epoch": 0.17, + "learning_rate": 1.8957603599042925e-05, + "loss": 0.7581, + "step": 1089 + }, + { + "epoch": 0.17, + "learning_rate": 1.8955324564744683e-05, + "loss": 0.8252, + "step": 1090 + }, + { + "epoch": 0.17, + "learning_rate": 1.895304317909019e-05, + "loss": 0.8652, + "step": 1091 + }, + { + "epoch": 0.17, + "learning_rate": 1.8950759442678452e-05, + "loss": 0.791, + "step": 1092 + }, + { + "epoch": 0.17, + "learning_rate": 1.8948473356109103e-05, + "loss": 0.7773, + "step": 1093 + }, + { + "epoch": 0.17, + "learning_rate": 1.8946184919982387e-05, + "loss": 0.8148, + "step": 1094 + }, + { + "epoch": 0.17, + "learning_rate": 1.894389413489917e-05, + "loss": 0.7852, + "step": 1095 + }, + { + "epoch": 0.17, + "learning_rate": 1.8941601001460933e-05, + "loss": 0.7852, + "step": 1096 + }, + { + "epoch": 0.17, + "learning_rate": 1.893930552026977e-05, + "loss": 0.7764, + "step": 1097 + }, + { + "epoch": 0.17, + "learning_rate": 1.8937007691928398e-05, + "loss": 0.7543, + "step": 1098 + }, + { + "epoch": 0.17, + "learning_rate": 1.8934707517040142e-05, + "loss": 0.8691, + "step": 1099 + }, + { + "epoch": 0.17, + "learning_rate": 1.893240499620895e-05, + "loss": 0.8092, + "step": 1100 + }, + { + "epoch": 0.17, + "learning_rate": 1.893010013003939e-05, + "loss": 0.8696, + "step": 1101 + }, + { + "epoch": 0.17, + "learning_rate": 1.8927792919136627e-05, + "loss": 0.7832, + "step": 1102 + }, + { + "epoch": 0.17, + "learning_rate": 1.8925483364106464e-05, + "loss": 0.8145, + "step": 1103 + }, + { + "epoch": 0.17, + "learning_rate": 1.8923171465555304e-05, + "loss": 0.8054, + "step": 1104 + }, + { + "epoch": 0.17, + "learning_rate": 1.8920857224090175e-05, + "loss": 0.8408, + "step": 1105 + }, + { + "epoch": 0.17, + "learning_rate": 1.8918540640318715e-05, + "loss": 0.7773, + "step": 1106 + }, + { + "epoch": 0.18, + "learning_rate": 1.8916221714849178e-05, + "loss": 0.7866, + "step": 1107 + }, + { + "epoch": 0.18, + "learning_rate": 1.8913900448290438e-05, + "loss": 0.7644, + "step": 1108 + }, + { + "epoch": 0.18, + "learning_rate": 1.8911576841251966e-05, + "loss": 0.7979, + "step": 1109 + }, + { + "epoch": 0.18, + "learning_rate": 1.8909250894343873e-05, + "loss": 0.7703, + "step": 1110 + }, + { + "epoch": 0.18, + "learning_rate": 1.8906922608176863e-05, + "loss": 0.3006, + "step": 1111 + }, + { + "epoch": 0.18, + "learning_rate": 1.890459198336227e-05, + "loss": 0.7754, + "step": 1112 + }, + { + "epoch": 0.18, + "learning_rate": 1.890225902051203e-05, + "loss": 0.7842, + "step": 1113 + }, + { + "epoch": 0.18, + "learning_rate": 1.88999237202387e-05, + "loss": 0.7705, + "step": 1114 + }, + { + "epoch": 0.18, + "learning_rate": 1.8897586083155442e-05, + "loss": 0.7439, + "step": 1115 + }, + { + "epoch": 0.18, + "learning_rate": 1.8895246109876054e-05, + "loss": 0.8286, + "step": 1116 + }, + { + "epoch": 0.18, + "learning_rate": 1.8892903801014913e-05, + "loss": 0.8611, + "step": 1117 + }, + { + "epoch": 0.18, + "learning_rate": 1.889055915718704e-05, + "loss": 0.814, + "step": 1118 + }, + { + "epoch": 0.18, + "learning_rate": 1.8888212179008053e-05, + "loss": 0.8203, + "step": 1119 + }, + { + "epoch": 0.18, + "learning_rate": 1.888586286709418e-05, + "loss": 0.7687, + "step": 1120 + }, + { + "epoch": 0.18, + "learning_rate": 1.888351122206228e-05, + "loss": 0.8368, + "step": 1121 + }, + { + "epoch": 0.18, + "learning_rate": 1.888115724452981e-05, + "loss": 0.8186, + "step": 1122 + }, + { + "epoch": 0.18, + "learning_rate": 1.8878800935114836e-05, + "loss": 0.7334, + "step": 1123 + }, + { + "epoch": 0.18, + "learning_rate": 1.887644229443605e-05, + "loss": 0.7635, + "step": 1124 + }, + { + "epoch": 0.18, + "learning_rate": 1.8874081323112746e-05, + "loss": 0.7377, + "step": 1125 + }, + { + "epoch": 0.18, + "learning_rate": 1.887171802176483e-05, + "loss": 0.7947, + "step": 1126 + }, + { + "epoch": 0.18, + "learning_rate": 1.886935239101283e-05, + "loss": 0.804, + "step": 1127 + }, + { + "epoch": 0.18, + "learning_rate": 1.8866984431477872e-05, + "loss": 0.7642, + "step": 1128 + }, + { + "epoch": 0.18, + "learning_rate": 1.88646141437817e-05, + "loss": 0.7789, + "step": 1129 + }, + { + "epoch": 0.18, + "learning_rate": 1.886224152854667e-05, + "loss": 0.8174, + "step": 1130 + }, + { + "epoch": 0.18, + "learning_rate": 1.885986658639575e-05, + "loss": 0.791, + "step": 1131 + }, + { + "epoch": 0.18, + "learning_rate": 1.8857489317952516e-05, + "loss": 0.2816, + "step": 1132 + }, + { + "epoch": 0.18, + "learning_rate": 1.8855109723841153e-05, + "loss": 0.7749, + "step": 1133 + }, + { + "epoch": 0.18, + "learning_rate": 1.8852727804686464e-05, + "loss": 0.7792, + "step": 1134 + }, + { + "epoch": 0.18, + "learning_rate": 1.8850343561113854e-05, + "loss": 0.78, + "step": 1135 + }, + { + "epoch": 0.18, + "learning_rate": 1.8847956993749346e-05, + "loss": 0.7571, + "step": 1136 + }, + { + "epoch": 0.18, + "learning_rate": 1.8845568103219568e-05, + "loss": 0.8538, + "step": 1137 + }, + { + "epoch": 0.18, + "learning_rate": 1.884317689015176e-05, + "loss": 0.8049, + "step": 1138 + }, + { + "epoch": 0.18, + "learning_rate": 1.8840783355173767e-05, + "loss": 0.7444, + "step": 1139 + }, + { + "epoch": 0.18, + "learning_rate": 1.8838387498914055e-05, + "loss": 0.7949, + "step": 1140 + }, + { + "epoch": 0.18, + "learning_rate": 1.8835989322001683e-05, + "loss": 0.7769, + "step": 1141 + }, + { + "epoch": 0.18, + "learning_rate": 1.883358882506634e-05, + "loss": 0.7942, + "step": 1142 + }, + { + "epoch": 0.18, + "learning_rate": 1.8831186008738306e-05, + "loss": 0.8313, + "step": 1143 + }, + { + "epoch": 0.18, + "learning_rate": 1.8828780873648478e-05, + "loss": 0.8496, + "step": 1144 + }, + { + "epoch": 0.18, + "learning_rate": 1.882637342042836e-05, + "loss": 0.8813, + "step": 1145 + }, + { + "epoch": 0.18, + "learning_rate": 1.8823963649710066e-05, + "loss": 0.8323, + "step": 1146 + }, + { + "epoch": 0.18, + "learning_rate": 1.882155156212632e-05, + "loss": 0.7771, + "step": 1147 + }, + { + "epoch": 0.18, + "learning_rate": 1.8819137158310446e-05, + "loss": 0.8091, + "step": 1148 + }, + { + "epoch": 0.18, + "learning_rate": 1.881672043889639e-05, + "loss": 0.7849, + "step": 1149 + }, + { + "epoch": 0.18, + "learning_rate": 1.8814301404518693e-05, + "loss": 0.7239, + "step": 1150 + }, + { + "epoch": 0.18, + "learning_rate": 1.8811880055812513e-05, + "loss": 0.7964, + "step": 1151 + }, + { + "epoch": 0.18, + "learning_rate": 1.880945639341361e-05, + "loss": 0.7412, + "step": 1152 + }, + { + "epoch": 0.18, + "learning_rate": 1.880703041795835e-05, + "loss": 0.8193, + "step": 1153 + }, + { + "epoch": 0.18, + "learning_rate": 1.8804602130083713e-05, + "loss": 0.729, + "step": 1154 + }, + { + "epoch": 0.18, + "learning_rate": 1.8802171530427283e-05, + "loss": 0.7893, + "step": 1155 + }, + { + "epoch": 0.18, + "learning_rate": 1.8799738619627254e-05, + "loss": 0.8159, + "step": 1156 + }, + { + "epoch": 0.18, + "learning_rate": 1.8797303398322416e-05, + "loss": 0.8618, + "step": 1157 + }, + { + "epoch": 0.18, + "learning_rate": 1.8794865867152178e-05, + "loss": 0.781, + "step": 1158 + }, + { + "epoch": 0.18, + "learning_rate": 1.8792426026756552e-05, + "loss": 0.843, + "step": 1159 + }, + { + "epoch": 0.18, + "learning_rate": 1.8789983877776152e-05, + "loss": 0.8118, + "step": 1160 + }, + { + "epoch": 0.18, + "learning_rate": 1.87875394208522e-05, + "loss": 0.7236, + "step": 1161 + }, + { + "epoch": 0.18, + "learning_rate": 1.8785092656626533e-05, + "loss": 0.7686, + "step": 1162 + }, + { + "epoch": 0.18, + "learning_rate": 1.8782643585741572e-05, + "loss": 0.2865, + "step": 1163 + }, + { + "epoch": 0.18, + "learning_rate": 1.8780192208840373e-05, + "loss": 0.7898, + "step": 1164 + }, + { + "epoch": 0.18, + "learning_rate": 1.8777738526566572e-05, + "loss": 0.749, + "step": 1165 + }, + { + "epoch": 0.18, + "learning_rate": 1.8775282539564426e-05, + "loss": 0.7522, + "step": 1166 + }, + { + "epoch": 0.18, + "learning_rate": 1.877282424847879e-05, + "loss": 0.761, + "step": 1167 + }, + { + "epoch": 0.18, + "learning_rate": 1.8770363653955125e-05, + "loss": 0.755, + "step": 1168 + }, + { + "epoch": 0.18, + "learning_rate": 1.8767900756639496e-05, + "loss": 0.3061, + "step": 1169 + }, + { + "epoch": 0.19, + "learning_rate": 1.876543555717858e-05, + "loss": 0.7615, + "step": 1170 + }, + { + "epoch": 0.19, + "learning_rate": 1.8762968056219642e-05, + "loss": 0.7827, + "step": 1171 + }, + { + "epoch": 0.19, + "learning_rate": 1.876049825441057e-05, + "loss": 0.7803, + "step": 1172 + }, + { + "epoch": 0.19, + "learning_rate": 1.875802615239985e-05, + "loss": 0.8418, + "step": 1173 + }, + { + "epoch": 0.19, + "learning_rate": 1.875555175083656e-05, + "loss": 0.8579, + "step": 1174 + }, + { + "epoch": 0.19, + "learning_rate": 1.8753075050370403e-05, + "loss": 0.833, + "step": 1175 + }, + { + "epoch": 0.19, + "learning_rate": 1.8750596051651665e-05, + "loss": 0.6711, + "step": 1176 + }, + { + "epoch": 0.19, + "learning_rate": 1.874811475533125e-05, + "loss": 0.7383, + "step": 1177 + }, + { + "epoch": 0.19, + "learning_rate": 1.8745631162060653e-05, + "loss": 0.8181, + "step": 1178 + }, + { + "epoch": 0.19, + "learning_rate": 1.874314527249199e-05, + "loss": 0.7509, + "step": 1179 + }, + { + "epoch": 0.19, + "learning_rate": 1.874065708727796e-05, + "loss": 0.8218, + "step": 1180 + }, + { + "epoch": 0.19, + "learning_rate": 1.8738166607071878e-05, + "loss": 0.8137, + "step": 1181 + }, + { + "epoch": 0.19, + "learning_rate": 1.8735673832527657e-05, + "loss": 0.8289, + "step": 1182 + }, + { + "epoch": 0.19, + "learning_rate": 1.8733178764299813e-05, + "loss": 0.7983, + "step": 1183 + }, + { + "epoch": 0.19, + "learning_rate": 1.8730681403043465e-05, + "loss": 0.8009, + "step": 1184 + }, + { + "epoch": 0.19, + "learning_rate": 1.8728181749414327e-05, + "loss": 0.8313, + "step": 1185 + }, + { + "epoch": 0.19, + "learning_rate": 1.8725679804068728e-05, + "loss": 0.8101, + "step": 1186 + }, + { + "epoch": 0.19, + "learning_rate": 1.8723175567663587e-05, + "loss": 0.7676, + "step": 1187 + }, + { + "epoch": 0.19, + "learning_rate": 1.872066904085643e-05, + "loss": 0.8157, + "step": 1188 + }, + { + "epoch": 0.19, + "learning_rate": 1.8718160224305387e-05, + "loss": 0.7944, + "step": 1189 + }, + { + "epoch": 0.19, + "learning_rate": 1.871564911866919e-05, + "loss": 0.8396, + "step": 1190 + }, + { + "epoch": 0.19, + "learning_rate": 1.8713135724607153e-05, + "loss": 0.792, + "step": 1191 + }, + { + "epoch": 0.19, + "learning_rate": 1.8710620042779214e-05, + "loss": 0.8022, + "step": 1192 + }, + { + "epoch": 0.19, + "learning_rate": 1.8708102073845908e-05, + "loss": 0.7932, + "step": 1193 + }, + { + "epoch": 0.19, + "learning_rate": 1.8705581818468358e-05, + "loss": 0.7341, + "step": 1194 + }, + { + "epoch": 0.19, + "learning_rate": 1.8703059277308302e-05, + "loss": 0.2856, + "step": 1195 + }, + { + "epoch": 0.19, + "learning_rate": 1.8700534451028064e-05, + "loss": 0.7585, + "step": 1196 + }, + { + "epoch": 0.19, + "learning_rate": 1.8698007340290583e-05, + "loss": 0.8396, + "step": 1197 + }, + { + "epoch": 0.19, + "learning_rate": 1.8695477945759385e-05, + "loss": 0.803, + "step": 1198 + }, + { + "epoch": 0.19, + "learning_rate": 1.8692946268098607e-05, + "loss": 0.8003, + "step": 1199 + }, + { + "epoch": 0.19, + "learning_rate": 1.8690412307972973e-05, + "loss": 0.7563, + "step": 1200 + }, + { + "epoch": 0.19, + "learning_rate": 1.868787606604781e-05, + "loss": 0.2927, + "step": 1201 + }, + { + "epoch": 0.19, + "learning_rate": 1.8685337542989055e-05, + "loss": 0.8601, + "step": 1202 + }, + { + "epoch": 0.19, + "learning_rate": 1.8682796739463235e-05, + "loss": 0.8191, + "step": 1203 + }, + { + "epoch": 0.19, + "learning_rate": 1.8680253656137467e-05, + "loss": 0.793, + "step": 1204 + }, + { + "epoch": 0.19, + "learning_rate": 1.867770829367949e-05, + "loss": 0.7795, + "step": 1205 + }, + { + "epoch": 0.19, + "learning_rate": 1.8675160652757617e-05, + "loss": 0.7606, + "step": 1206 + }, + { + "epoch": 0.19, + "learning_rate": 1.8672610734040774e-05, + "loss": 0.8247, + "step": 1207 + }, + { + "epoch": 0.19, + "learning_rate": 1.867005853819848e-05, + "loss": 0.7605, + "step": 1208 + }, + { + "epoch": 0.19, + "learning_rate": 1.8667504065900852e-05, + "loss": 0.7825, + "step": 1209 + }, + { + "epoch": 0.19, + "learning_rate": 1.8664947317818607e-05, + "loss": 0.78, + "step": 1210 + }, + { + "epoch": 0.19, + "learning_rate": 1.8662388294623057e-05, + "loss": 0.7626, + "step": 1211 + }, + { + "epoch": 0.19, + "learning_rate": 1.865982699698611e-05, + "loss": 0.834, + "step": 1212 + }, + { + "epoch": 0.19, + "learning_rate": 1.865726342558028e-05, + "loss": 0.761, + "step": 1213 + }, + { + "epoch": 0.19, + "learning_rate": 1.8654697581078664e-05, + "loss": 0.8254, + "step": 1214 + }, + { + "epoch": 0.19, + "learning_rate": 1.865212946415497e-05, + "loss": 0.7661, + "step": 1215 + }, + { + "epoch": 0.19, + "learning_rate": 1.8649559075483486e-05, + "loss": 0.7698, + "step": 1216 + }, + { + "epoch": 0.19, + "learning_rate": 1.864698641573912e-05, + "loss": 0.8494, + "step": 1217 + }, + { + "epoch": 0.19, + "learning_rate": 1.8644411485597355e-05, + "loss": 0.8308, + "step": 1218 + }, + { + "epoch": 0.19, + "learning_rate": 1.864183428573428e-05, + "loss": 0.76, + "step": 1219 + }, + { + "epoch": 0.19, + "learning_rate": 1.8639254816826574e-05, + "loss": 0.7765, + "step": 1220 + }, + { + "epoch": 0.19, + "learning_rate": 1.8636673079551525e-05, + "loss": 0.8547, + "step": 1221 + }, + { + "epoch": 0.19, + "learning_rate": 1.8634089074586996e-05, + "loss": 0.7283, + "step": 1222 + }, + { + "epoch": 0.19, + "learning_rate": 1.863150280261146e-05, + "loss": 0.7294, + "step": 1223 + }, + { + "epoch": 0.19, + "learning_rate": 1.862891426430399e-05, + "loss": 0.7766, + "step": 1224 + }, + { + "epoch": 0.19, + "learning_rate": 1.8626323460344234e-05, + "loss": 0.7817, + "step": 1225 + }, + { + "epoch": 0.19, + "learning_rate": 1.8623730391412456e-05, + "loss": 0.7922, + "step": 1226 + }, + { + "epoch": 0.19, + "learning_rate": 1.8621135058189503e-05, + "loss": 0.7531, + "step": 1227 + }, + { + "epoch": 0.19, + "learning_rate": 1.8618537461356813e-05, + "loss": 0.775, + "step": 1228 + }, + { + "epoch": 0.19, + "learning_rate": 1.8615937601596433e-05, + "loss": 0.8152, + "step": 1229 + }, + { + "epoch": 0.19, + "learning_rate": 1.8613335479590992e-05, + "loss": 0.8208, + "step": 1230 + }, + { + "epoch": 0.19, + "learning_rate": 1.8610731096023717e-05, + "loss": 0.7738, + "step": 1231 + }, + { + "epoch": 0.19, + "learning_rate": 1.8608124451578426e-05, + "loss": 0.8552, + "step": 1232 + }, + { + "epoch": 0.2, + "learning_rate": 1.8605515546939536e-05, + "loss": 0.8452, + "step": 1233 + }, + { + "epoch": 0.2, + "learning_rate": 1.8602904382792057e-05, + "loss": 0.7834, + "step": 1234 + }, + { + "epoch": 0.2, + "learning_rate": 1.8600290959821583e-05, + "loss": 0.7493, + "step": 1235 + }, + { + "epoch": 0.2, + "learning_rate": 1.8597675278714312e-05, + "loss": 0.769, + "step": 1236 + }, + { + "epoch": 0.2, + "learning_rate": 1.859505734015703e-05, + "loss": 0.8159, + "step": 1237 + }, + { + "epoch": 0.2, + "learning_rate": 1.8592437144837118e-05, + "loss": 0.7806, + "step": 1238 + }, + { + "epoch": 0.2, + "learning_rate": 1.8589814693442544e-05, + "loss": 0.7183, + "step": 1239 + }, + { + "epoch": 0.2, + "learning_rate": 1.8587189986661877e-05, + "loss": 0.8323, + "step": 1240 + }, + { + "epoch": 0.2, + "learning_rate": 1.858456302518427e-05, + "loss": 0.7714, + "step": 1241 + }, + { + "epoch": 0.2, + "learning_rate": 1.858193380969947e-05, + "loss": 0.7422, + "step": 1242 + }, + { + "epoch": 0.2, + "learning_rate": 1.8579302340897824e-05, + "loss": 0.77, + "step": 1243 + }, + { + "epoch": 0.2, + "learning_rate": 1.8576668619470262e-05, + "loss": 0.3442, + "step": 1244 + }, + { + "epoch": 0.2, + "learning_rate": 1.8574032646108305e-05, + "loss": 0.3115, + "step": 1245 + }, + { + "epoch": 0.2, + "learning_rate": 1.857139442150407e-05, + "loss": 0.7697, + "step": 1246 + }, + { + "epoch": 0.2, + "learning_rate": 1.8568753946350256e-05, + "loss": 0.7937, + "step": 1247 + }, + { + "epoch": 0.2, + "learning_rate": 1.856611122134017e-05, + "loss": 0.855, + "step": 1248 + }, + { + "epoch": 0.2, + "learning_rate": 1.8563466247167693e-05, + "loss": 0.8331, + "step": 1249 + }, + { + "epoch": 0.2, + "learning_rate": 1.8560819024527305e-05, + "loss": 0.8174, + "step": 1250 + }, + { + "epoch": 0.2, + "learning_rate": 1.8558169554114073e-05, + "loss": 0.8235, + "step": 1251 + }, + { + "epoch": 0.2, + "learning_rate": 1.855551783662366e-05, + "loss": 0.7866, + "step": 1252 + }, + { + "epoch": 0.2, + "learning_rate": 1.8552863872752312e-05, + "loss": 0.8835, + "step": 1253 + }, + { + "epoch": 0.2, + "learning_rate": 1.8550207663196863e-05, + "loss": 0.8098, + "step": 1254 + }, + { + "epoch": 0.2, + "learning_rate": 1.8547549208654748e-05, + "loss": 0.7667, + "step": 1255 + }, + { + "epoch": 0.2, + "learning_rate": 1.854488850982398e-05, + "loss": 0.7184, + "step": 1256 + }, + { + "epoch": 0.2, + "learning_rate": 1.8542225567403172e-05, + "loss": 0.8474, + "step": 1257 + }, + { + "epoch": 0.2, + "learning_rate": 1.8539560382091513e-05, + "loss": 0.8159, + "step": 1258 + }, + { + "epoch": 0.2, + "learning_rate": 1.853689295458879e-05, + "loss": 0.8042, + "step": 1259 + }, + { + "epoch": 0.2, + "learning_rate": 1.8534223285595375e-05, + "loss": 0.7616, + "step": 1260 + }, + { + "epoch": 0.2, + "learning_rate": 1.8531551375812232e-05, + "loss": 0.8237, + "step": 1261 + }, + { + "epoch": 0.2, + "learning_rate": 1.8528877225940914e-05, + "loss": 0.7964, + "step": 1262 + }, + { + "epoch": 0.2, + "learning_rate": 1.8526200836683555e-05, + "loss": 0.7229, + "step": 1263 + }, + { + "epoch": 0.2, + "learning_rate": 1.8523522208742884e-05, + "loss": 0.8286, + "step": 1264 + }, + { + "epoch": 0.2, + "learning_rate": 1.8520841342822216e-05, + "loss": 0.8452, + "step": 1265 + }, + { + "epoch": 0.2, + "learning_rate": 1.851815823962545e-05, + "loss": 0.7668, + "step": 1266 + }, + { + "epoch": 0.2, + "learning_rate": 1.8515472899857082e-05, + "loss": 0.74, + "step": 1267 + }, + { + "epoch": 0.2, + "learning_rate": 1.8512785324222178e-05, + "loss": 0.7645, + "step": 1268 + }, + { + "epoch": 0.2, + "learning_rate": 1.8510095513426413e-05, + "loss": 0.7682, + "step": 1269 + }, + { + "epoch": 0.2, + "learning_rate": 1.8507403468176028e-05, + "loss": 0.7974, + "step": 1270 + }, + { + "epoch": 0.2, + "learning_rate": 1.8504709189177864e-05, + "loss": 0.7881, + "step": 1271 + }, + { + "epoch": 0.2, + "learning_rate": 1.850201267713935e-05, + "loss": 0.8049, + "step": 1272 + }, + { + "epoch": 0.2, + "learning_rate": 1.8499313932768487e-05, + "loss": 0.7061, + "step": 1273 + }, + { + "epoch": 0.2, + "learning_rate": 1.849661295677388e-05, + "loss": 0.8274, + "step": 1274 + }, + { + "epoch": 0.2, + "learning_rate": 1.8493909749864706e-05, + "loss": 0.7693, + "step": 1275 + }, + { + "epoch": 0.2, + "learning_rate": 1.8491204312750732e-05, + "loss": 0.8298, + "step": 1276 + }, + { + "epoch": 0.2, + "learning_rate": 1.8488496646142313e-05, + "loss": 0.7681, + "step": 1277 + }, + { + "epoch": 0.2, + "learning_rate": 1.848578675075039e-05, + "loss": 0.833, + "step": 1278 + }, + { + "epoch": 0.2, + "learning_rate": 1.8483074627286487e-05, + "loss": 0.8333, + "step": 1279 + }, + { + "epoch": 0.2, + "learning_rate": 1.8480360276462708e-05, + "loss": 0.8076, + "step": 1280 + }, + { + "epoch": 0.2, + "learning_rate": 1.8477643698991756e-05, + "loss": 0.8201, + "step": 1281 + }, + { + "epoch": 0.2, + "learning_rate": 1.8474924895586902e-05, + "loss": 0.7346, + "step": 1282 + }, + { + "epoch": 0.2, + "learning_rate": 1.8472203866962007e-05, + "loss": 0.7944, + "step": 1283 + }, + { + "epoch": 0.2, + "learning_rate": 1.8469480613831528e-05, + "loss": 0.7566, + "step": 1284 + }, + { + "epoch": 0.2, + "learning_rate": 1.8466755136910487e-05, + "loss": 0.7694, + "step": 1285 + }, + { + "epoch": 0.2, + "learning_rate": 1.8464027436914507e-05, + "loss": 0.8254, + "step": 1286 + }, + { + "epoch": 0.2, + "learning_rate": 1.8461297514559784e-05, + "loss": 0.7554, + "step": 1287 + }, + { + "epoch": 0.2, + "learning_rate": 1.84585653705631e-05, + "loss": 0.8232, + "step": 1288 + }, + { + "epoch": 0.2, + "learning_rate": 1.8455831005641814e-05, + "loss": 0.7948, + "step": 1289 + }, + { + "epoch": 0.2, + "learning_rate": 1.845309442051389e-05, + "loss": 0.8088, + "step": 1290 + }, + { + "epoch": 0.2, + "learning_rate": 1.8450355615897845e-05, + "loss": 0.7069, + "step": 1291 + }, + { + "epoch": 0.2, + "learning_rate": 1.8447614592512802e-05, + "loss": 0.8134, + "step": 1292 + }, + { + "epoch": 0.2, + "learning_rate": 1.844487135107846e-05, + "loss": 0.8053, + "step": 1293 + }, + { + "epoch": 0.2, + "learning_rate": 1.8442125892315094e-05, + "loss": 0.7863, + "step": 1294 + }, + { + "epoch": 0.2, + "learning_rate": 1.843937821694356e-05, + "loss": 0.7786, + "step": 1295 + }, + { + "epoch": 0.21, + "learning_rate": 1.8436628325685316e-05, + "loss": 0.7812, + "step": 1296 + }, + { + "epoch": 0.21, + "learning_rate": 1.843387621926238e-05, + "loss": 0.7922, + "step": 1297 + }, + { + "epoch": 0.21, + "learning_rate": 1.843112189839736e-05, + "loss": 0.7681, + "step": 1298 + }, + { + "epoch": 0.21, + "learning_rate": 1.8428365363813443e-05, + "loss": 0.7988, + "step": 1299 + }, + { + "epoch": 0.21, + "learning_rate": 1.84256066162344e-05, + "loss": 0.7625, + "step": 1300 + }, + { + "epoch": 0.21, + "learning_rate": 1.8422845656384583e-05, + "loss": 0.7012, + "step": 1301 + }, + { + "epoch": 0.21, + "learning_rate": 1.8420082484988925e-05, + "loss": 0.7522, + "step": 1302 + }, + { + "epoch": 0.21, + "learning_rate": 1.8417317102772934e-05, + "loss": 0.7764, + "step": 1303 + }, + { + "epoch": 0.21, + "learning_rate": 1.841454951046271e-05, + "loss": 0.8313, + "step": 1304 + }, + { + "epoch": 0.21, + "learning_rate": 1.8411779708784917e-05, + "loss": 0.7557, + "step": 1305 + }, + { + "epoch": 0.21, + "learning_rate": 1.8409007698466816e-05, + "loss": 0.7898, + "step": 1306 + }, + { + "epoch": 0.21, + "learning_rate": 1.8406233480236236e-05, + "loss": 0.7595, + "step": 1307 + }, + { + "epoch": 0.21, + "learning_rate": 1.8403457054821595e-05, + "loss": 0.906, + "step": 1308 + }, + { + "epoch": 0.21, + "learning_rate": 1.8400678422951883e-05, + "loss": 0.7622, + "step": 1309 + }, + { + "epoch": 0.21, + "learning_rate": 1.839789758535667e-05, + "loss": 0.7963, + "step": 1310 + }, + { + "epoch": 0.21, + "learning_rate": 1.8395114542766106e-05, + "loss": 0.8225, + "step": 1311 + }, + { + "epoch": 0.21, + "learning_rate": 1.8392329295910926e-05, + "loss": 0.7473, + "step": 1312 + }, + { + "epoch": 0.21, + "learning_rate": 1.838954184552244e-05, + "loss": 0.8006, + "step": 1313 + }, + { + "epoch": 0.21, + "learning_rate": 1.8386752192332526e-05, + "loss": 0.7507, + "step": 1314 + }, + { + "epoch": 0.21, + "learning_rate": 1.8383960337073657e-05, + "loss": 0.7419, + "step": 1315 + }, + { + "epoch": 0.21, + "learning_rate": 1.838116628047888e-05, + "loss": 0.8433, + "step": 1316 + }, + { + "epoch": 0.21, + "learning_rate": 1.8378370023281806e-05, + "loss": 0.3164, + "step": 1317 + }, + { + "epoch": 0.21, + "learning_rate": 1.8375571566216644e-05, + "loss": 0.2921, + "step": 1318 + }, + { + "epoch": 0.21, + "learning_rate": 1.8372770910018167e-05, + "loss": 0.7815, + "step": 1319 + }, + { + "epoch": 0.21, + "learning_rate": 1.8369968055421733e-05, + "loss": 0.8333, + "step": 1320 + }, + { + "epoch": 0.21, + "learning_rate": 1.8367163003163276e-05, + "loss": 0.7463, + "step": 1321 + }, + { + "epoch": 0.21, + "learning_rate": 1.8364355753979294e-05, + "loss": 0.8167, + "step": 1322 + }, + { + "epoch": 0.21, + "learning_rate": 1.8361546308606882e-05, + "loss": 0.3222, + "step": 1323 + }, + { + "epoch": 0.21, + "learning_rate": 1.8358734667783703e-05, + "loss": 0.7893, + "step": 1324 + }, + { + "epoch": 0.21, + "learning_rate": 1.8355920832247994e-05, + "loss": 0.7485, + "step": 1325 + }, + { + "epoch": 0.21, + "learning_rate": 1.8353104802738565e-05, + "loss": 0.7722, + "step": 1326 + }, + { + "epoch": 0.21, + "learning_rate": 1.8350286579994817e-05, + "loss": 0.7893, + "step": 1327 + }, + { + "epoch": 0.21, + "learning_rate": 1.8347466164756708e-05, + "loss": 0.7971, + "step": 1328 + }, + { + "epoch": 0.21, + "learning_rate": 1.8344643557764787e-05, + "loss": 0.7998, + "step": 1329 + }, + { + "epoch": 0.21, + "learning_rate": 1.8341818759760168e-05, + "loss": 0.7393, + "step": 1330 + }, + { + "epoch": 0.21, + "learning_rate": 1.8338991771484548e-05, + "loss": 0.8115, + "step": 1331 + }, + { + "epoch": 0.21, + "learning_rate": 1.8336162593680194e-05, + "loss": 0.8218, + "step": 1332 + }, + { + "epoch": 0.21, + "learning_rate": 1.833333122708995e-05, + "loss": 0.8223, + "step": 1333 + }, + { + "epoch": 0.21, + "learning_rate": 1.8330497672457236e-05, + "loss": 0.8091, + "step": 1334 + }, + { + "epoch": 0.21, + "learning_rate": 1.832766193052604e-05, + "loss": 0.7717, + "step": 1335 + }, + { + "epoch": 0.21, + "learning_rate": 1.8324824002040933e-05, + "loss": 0.8564, + "step": 1336 + }, + { + "epoch": 0.21, + "learning_rate": 1.8321983887747055e-05, + "loss": 0.8328, + "step": 1337 + }, + { + "epoch": 0.21, + "learning_rate": 1.831914158839012e-05, + "loss": 0.7694, + "step": 1338 + }, + { + "epoch": 0.21, + "learning_rate": 1.8316297104716418e-05, + "loss": 0.8271, + "step": 1339 + }, + { + "epoch": 0.21, + "learning_rate": 1.8313450437472812e-05, + "loss": 0.783, + "step": 1340 + }, + { + "epoch": 0.21, + "learning_rate": 1.8310601587406737e-05, + "loss": 0.7504, + "step": 1341 + }, + { + "epoch": 0.21, + "learning_rate": 1.83077505552662e-05, + "loss": 0.842, + "step": 1342 + }, + { + "epoch": 0.21, + "learning_rate": 1.8304897341799783e-05, + "loss": 0.2637, + "step": 1343 + }, + { + "epoch": 0.21, + "learning_rate": 1.8302041947756644e-05, + "loss": 0.8335, + "step": 1344 + }, + { + "epoch": 0.21, + "learning_rate": 1.8299184373886508e-05, + "loss": 0.7804, + "step": 1345 + }, + { + "epoch": 0.21, + "learning_rate": 1.8296324620939673e-05, + "loss": 0.7654, + "step": 1346 + }, + { + "epoch": 0.21, + "learning_rate": 1.8293462689667012e-05, + "loss": 0.7849, + "step": 1347 + }, + { + "epoch": 0.21, + "learning_rate": 1.8290598580819967e-05, + "loss": 0.7961, + "step": 1348 + }, + { + "epoch": 0.21, + "learning_rate": 1.8287732295150557e-05, + "loss": 0.783, + "step": 1349 + }, + { + "epoch": 0.21, + "learning_rate": 1.828486383341136e-05, + "loss": 0.2827, + "step": 1350 + }, + { + "epoch": 0.21, + "learning_rate": 1.828199319635555e-05, + "loss": 0.8435, + "step": 1351 + }, + { + "epoch": 0.21, + "learning_rate": 1.827912038473684e-05, + "loss": 0.8352, + "step": 1352 + }, + { + "epoch": 0.21, + "learning_rate": 1.8276245399309535e-05, + "loss": 0.731, + "step": 1353 + }, + { + "epoch": 0.21, + "learning_rate": 1.8273368240828512e-05, + "loss": 0.7821, + "step": 1354 + }, + { + "epoch": 0.21, + "learning_rate": 1.8270488910049205e-05, + "loss": 0.8159, + "step": 1355 + }, + { + "epoch": 0.21, + "learning_rate": 1.826760740772763e-05, + "loss": 0.8425, + "step": 1356 + }, + { + "epoch": 0.21, + "learning_rate": 1.826472373462037e-05, + "loss": 0.748, + "step": 1357 + }, + { + "epoch": 0.21, + "learning_rate": 1.8261837891484572e-05, + "loss": 0.7988, + "step": 1358 + }, + { + "epoch": 0.21, + "learning_rate": 1.8258949879077965e-05, + "loss": 0.7549, + "step": 1359 + }, + { + "epoch": 0.22, + "learning_rate": 1.8256059698158837e-05, + "loss": 0.7673, + "step": 1360 + }, + { + "epoch": 0.22, + "learning_rate": 1.8253167349486044e-05, + "loss": 0.8142, + "step": 1361 + }, + { + "epoch": 0.22, + "learning_rate": 1.8250272833819024e-05, + "loss": 0.845, + "step": 1362 + }, + { + "epoch": 0.22, + "learning_rate": 1.8247376151917773e-05, + "loss": 0.8381, + "step": 1363 + }, + { + "epoch": 0.22, + "learning_rate": 1.8244477304542858e-05, + "loss": 0.7664, + "step": 1364 + }, + { + "epoch": 0.22, + "learning_rate": 1.8241576292455417e-05, + "loss": 0.8679, + "step": 1365 + }, + { + "epoch": 0.22, + "learning_rate": 1.823867311641715e-05, + "loss": 0.7825, + "step": 1366 + }, + { + "epoch": 0.22, + "learning_rate": 1.8235767777190333e-05, + "loss": 0.8208, + "step": 1367 + }, + { + "epoch": 0.22, + "learning_rate": 1.8232860275537812e-05, + "loss": 0.7993, + "step": 1368 + }, + { + "epoch": 0.22, + "learning_rate": 1.8229950612222986e-05, + "loss": 0.7681, + "step": 1369 + }, + { + "epoch": 0.22, + "learning_rate": 1.8227038788009836e-05, + "loss": 0.2816, + "step": 1370 + }, + { + "epoch": 0.22, + "learning_rate": 1.822412480366291e-05, + "loss": 0.8557, + "step": 1371 + }, + { + "epoch": 0.22, + "learning_rate": 1.822120865994731e-05, + "loss": 0.7163, + "step": 1372 + }, + { + "epoch": 0.22, + "learning_rate": 1.8218290357628722e-05, + "loss": 0.8513, + "step": 1373 + }, + { + "epoch": 0.22, + "learning_rate": 1.821536989747338e-05, + "loss": 0.7451, + "step": 1374 + }, + { + "epoch": 0.22, + "learning_rate": 1.821244728024811e-05, + "loss": 0.7637, + "step": 1375 + }, + { + "epoch": 0.22, + "learning_rate": 1.8209522506720275e-05, + "loss": 0.7864, + "step": 1376 + }, + { + "epoch": 0.22, + "learning_rate": 1.8206595577657828e-05, + "loss": 0.7925, + "step": 1377 + }, + { + "epoch": 0.22, + "learning_rate": 1.8203666493829272e-05, + "loss": 0.8259, + "step": 1378 + }, + { + "epoch": 0.22, + "learning_rate": 1.820073525600369e-05, + "loss": 0.8062, + "step": 1379 + }, + { + "epoch": 0.22, + "learning_rate": 1.8197801864950716e-05, + "loss": 0.7959, + "step": 1380 + }, + { + "epoch": 0.22, + "learning_rate": 1.819486632144056e-05, + "loss": 0.7776, + "step": 1381 + }, + { + "epoch": 0.22, + "learning_rate": 1.8191928626243992e-05, + "loss": 0.7729, + "step": 1382 + }, + { + "epoch": 0.22, + "learning_rate": 1.818898878013235e-05, + "loss": 0.7723, + "step": 1383 + }, + { + "epoch": 0.22, + "learning_rate": 1.8186046783877535e-05, + "loss": 0.8267, + "step": 1384 + }, + { + "epoch": 0.22, + "learning_rate": 1.8183102638252012e-05, + "loss": 0.7852, + "step": 1385 + }, + { + "epoch": 0.22, + "learning_rate": 1.8180156344028807e-05, + "loss": 0.7856, + "step": 1386 + }, + { + "epoch": 0.22, + "learning_rate": 1.817720790198152e-05, + "loss": 0.8594, + "step": 1387 + }, + { + "epoch": 0.22, + "learning_rate": 1.817425731288431e-05, + "loss": 0.7357, + "step": 1388 + }, + { + "epoch": 0.22, + "learning_rate": 1.8171304577511892e-05, + "loss": 0.7749, + "step": 1389 + }, + { + "epoch": 0.22, + "learning_rate": 1.816834969663956e-05, + "loss": 0.7157, + "step": 1390 + }, + { + "epoch": 0.22, + "learning_rate": 1.8165392671043155e-05, + "loss": 0.7959, + "step": 1391 + }, + { + "epoch": 0.22, + "learning_rate": 1.816243350149909e-05, + "loss": 0.812, + "step": 1392 + }, + { + "epoch": 0.22, + "learning_rate": 1.815947218878435e-05, + "loss": 0.7979, + "step": 1393 + }, + { + "epoch": 0.22, + "learning_rate": 1.815650873367646e-05, + "loss": 0.8038, + "step": 1394 + }, + { + "epoch": 0.22, + "learning_rate": 1.8153543136953528e-05, + "loss": 0.7388, + "step": 1395 + }, + { + "epoch": 0.22, + "learning_rate": 1.815057539939421e-05, + "loss": 0.2953, + "step": 1396 + }, + { + "epoch": 0.22, + "learning_rate": 1.8147605521777733e-05, + "loss": 0.812, + "step": 1397 + }, + { + "epoch": 0.22, + "learning_rate": 1.8144633504883884e-05, + "loss": 0.7802, + "step": 1398 + }, + { + "epoch": 0.22, + "learning_rate": 1.814165934949301e-05, + "loss": 0.782, + "step": 1399 + }, + { + "epoch": 0.22, + "learning_rate": 1.8138683056386028e-05, + "loss": 0.7759, + "step": 1400 + }, + { + "epoch": 0.22, + "learning_rate": 1.8135704626344395e-05, + "loss": 0.7832, + "step": 1401 + }, + { + "epoch": 0.22, + "learning_rate": 1.8132724060150157e-05, + "loss": 0.769, + "step": 1402 + }, + { + "epoch": 0.22, + "learning_rate": 1.81297413585859e-05, + "loss": 0.8008, + "step": 1403 + }, + { + "epoch": 0.22, + "learning_rate": 1.812675652243477e-05, + "loss": 0.822, + "step": 1404 + }, + { + "epoch": 0.22, + "learning_rate": 1.8123769552480495e-05, + "loss": 0.7826, + "step": 1405 + }, + { + "epoch": 0.22, + "learning_rate": 1.8120780449507347e-05, + "loss": 0.7473, + "step": 1406 + }, + { + "epoch": 0.22, + "learning_rate": 1.8117789214300153e-05, + "loss": 0.8501, + "step": 1407 + }, + { + "epoch": 0.22, + "learning_rate": 1.811479584764431e-05, + "loss": 0.7808, + "step": 1408 + }, + { + "epoch": 0.22, + "learning_rate": 1.811180035032577e-05, + "loss": 0.7517, + "step": 1409 + }, + { + "epoch": 0.22, + "learning_rate": 1.8108802723131055e-05, + "loss": 0.8032, + "step": 1410 + }, + { + "epoch": 0.22, + "learning_rate": 1.8105802966847226e-05, + "loss": 0.7766, + "step": 1411 + }, + { + "epoch": 0.22, + "learning_rate": 1.8102801082261924e-05, + "loss": 0.804, + "step": 1412 + }, + { + "epoch": 0.22, + "learning_rate": 1.809979707016333e-05, + "loss": 0.7557, + "step": 1413 + }, + { + "epoch": 0.22, + "learning_rate": 1.8096790931340202e-05, + "loss": 0.8284, + "step": 1414 + }, + { + "epoch": 0.22, + "learning_rate": 1.809378266658184e-05, + "loss": 0.7502, + "step": 1415 + }, + { + "epoch": 0.22, + "learning_rate": 1.8090772276678118e-05, + "loss": 0.7937, + "step": 1416 + }, + { + "epoch": 0.22, + "learning_rate": 1.808775976241945e-05, + "loss": 0.3055, + "step": 1417 + }, + { + "epoch": 0.22, + "learning_rate": 1.808474512459682e-05, + "loss": 0.2905, + "step": 1418 + }, + { + "epoch": 0.22, + "learning_rate": 1.8081728364001777e-05, + "loss": 0.8113, + "step": 1419 + }, + { + "epoch": 0.22, + "learning_rate": 1.80787094814264e-05, + "loss": 0.7988, + "step": 1420 + }, + { + "epoch": 0.22, + "learning_rate": 1.8075688477663354e-05, + "loss": 0.7888, + "step": 1421 + }, + { + "epoch": 0.22, + "learning_rate": 1.8072665353505848e-05, + "loss": 0.7839, + "step": 1422 + }, + { + "epoch": 0.23, + "learning_rate": 1.8069640109747647e-05, + "loss": 0.7993, + "step": 1423 + }, + { + "epoch": 0.23, + "learning_rate": 1.8066612747183074e-05, + "loss": 0.7788, + "step": 1424 + }, + { + "epoch": 0.23, + "learning_rate": 1.8063583266607013e-05, + "loss": 0.8684, + "step": 1425 + }, + { + "epoch": 0.23, + "learning_rate": 1.806055166881489e-05, + "loss": 0.7786, + "step": 1426 + }, + { + "epoch": 0.23, + "learning_rate": 1.805751795460271e-05, + "loss": 0.7874, + "step": 1427 + }, + { + "epoch": 0.23, + "learning_rate": 1.8054482124767013e-05, + "loss": 0.7209, + "step": 1428 + }, + { + "epoch": 0.23, + "learning_rate": 1.8051444180104905e-05, + "loss": 0.8066, + "step": 1429 + }, + { + "epoch": 0.23, + "learning_rate": 1.8048404121414047e-05, + "loss": 0.79, + "step": 1430 + }, + { + "epoch": 0.23, + "learning_rate": 1.8045361949492643e-05, + "loss": 0.8303, + "step": 1431 + }, + { + "epoch": 0.23, + "learning_rate": 1.804231766513947e-05, + "loss": 0.7596, + "step": 1432 + }, + { + "epoch": 0.23, + "learning_rate": 1.803927126915385e-05, + "loss": 0.7852, + "step": 1433 + }, + { + "epoch": 0.23, + "learning_rate": 1.8036222762335655e-05, + "loss": 0.7394, + "step": 1434 + }, + { + "epoch": 0.23, + "learning_rate": 1.8033172145485324e-05, + "loss": 0.8176, + "step": 1435 + }, + { + "epoch": 0.23, + "learning_rate": 1.8030119419403835e-05, + "loss": 0.8123, + "step": 1436 + }, + { + "epoch": 0.23, + "learning_rate": 1.8027064584892734e-05, + "loss": 0.731, + "step": 1437 + }, + { + "epoch": 0.23, + "learning_rate": 1.802400764275411e-05, + "loss": 0.7704, + "step": 1438 + }, + { + "epoch": 0.23, + "learning_rate": 1.8020948593790618e-05, + "loss": 0.7952, + "step": 1439 + }, + { + "epoch": 0.23, + "learning_rate": 1.8017887438805442e-05, + "loss": 0.8518, + "step": 1440 + }, + { + "epoch": 0.23, + "learning_rate": 1.801482417860235e-05, + "loss": 0.7754, + "step": 1441 + }, + { + "epoch": 0.23, + "learning_rate": 1.801175881398564e-05, + "loss": 0.7634, + "step": 1442 + }, + { + "epoch": 0.23, + "learning_rate": 1.800869134576017e-05, + "loss": 0.7792, + "step": 1443 + }, + { + "epoch": 0.23, + "learning_rate": 1.8005621774731353e-05, + "loss": 0.8088, + "step": 1444 + }, + { + "epoch": 0.23, + "learning_rate": 1.8002550101705146e-05, + "loss": 0.7971, + "step": 1445 + }, + { + "epoch": 0.23, + "learning_rate": 1.799947632748807e-05, + "loss": 0.7703, + "step": 1446 + }, + { + "epoch": 0.23, + "learning_rate": 1.7996400452887188e-05, + "loss": 0.8159, + "step": 1447 + }, + { + "epoch": 0.23, + "learning_rate": 1.7993322478710116e-05, + "loss": 0.7625, + "step": 1448 + }, + { + "epoch": 0.23, + "learning_rate": 1.7990242405765025e-05, + "loss": 0.7881, + "step": 1449 + }, + { + "epoch": 0.23, + "learning_rate": 1.7987160234860637e-05, + "loss": 0.8298, + "step": 1450 + }, + { + "epoch": 0.23, + "learning_rate": 1.7984075966806216e-05, + "loss": 0.7307, + "step": 1451 + }, + { + "epoch": 0.23, + "learning_rate": 1.798098960241159e-05, + "loss": 0.7577, + "step": 1452 + }, + { + "epoch": 0.23, + "learning_rate": 1.7977901142487126e-05, + "loss": 0.8052, + "step": 1453 + }, + { + "epoch": 0.23, + "learning_rate": 1.7974810587843752e-05, + "loss": 0.7664, + "step": 1454 + }, + { + "epoch": 0.23, + "learning_rate": 1.797171793929293e-05, + "loss": 0.7471, + "step": 1455 + }, + { + "epoch": 0.23, + "learning_rate": 1.7968623197646694e-05, + "loss": 0.7227, + "step": 1456 + }, + { + "epoch": 0.23, + "learning_rate": 1.7965526363717605e-05, + "loss": 0.7542, + "step": 1457 + }, + { + "epoch": 0.23, + "learning_rate": 1.7962427438318788e-05, + "loss": 0.835, + "step": 1458 + }, + { + "epoch": 0.23, + "learning_rate": 1.7959326422263916e-05, + "loss": 0.8452, + "step": 1459 + }, + { + "epoch": 0.23, + "learning_rate": 1.7956223316367204e-05, + "loss": 0.7397, + "step": 1460 + }, + { + "epoch": 0.23, + "learning_rate": 1.795311812144342e-05, + "loss": 0.7783, + "step": 1461 + }, + { + "epoch": 0.23, + "learning_rate": 1.7950010838307878e-05, + "loss": 0.829, + "step": 1462 + }, + { + "epoch": 0.23, + "learning_rate": 1.7946901467776444e-05, + "loss": 0.7922, + "step": 1463 + }, + { + "epoch": 0.23, + "learning_rate": 1.7943790010665532e-05, + "loss": 0.8162, + "step": 1464 + }, + { + "epoch": 0.23, + "learning_rate": 1.79406764677921e-05, + "loss": 0.8376, + "step": 1465 + }, + { + "epoch": 0.23, + "learning_rate": 1.793756083997366e-05, + "loss": 0.8064, + "step": 1466 + }, + { + "epoch": 0.23, + "learning_rate": 1.793444312802826e-05, + "loss": 0.793, + "step": 1467 + }, + { + "epoch": 0.23, + "learning_rate": 1.793132333277451e-05, + "loss": 0.7947, + "step": 1468 + }, + { + "epoch": 0.23, + "learning_rate": 1.7928201455031552e-05, + "loss": 0.7993, + "step": 1469 + }, + { + "epoch": 0.23, + "learning_rate": 1.7925077495619092e-05, + "loss": 0.7727, + "step": 1470 + }, + { + "epoch": 0.23, + "learning_rate": 1.7921951455357365e-05, + "loss": 0.8115, + "step": 1471 + }, + { + "epoch": 0.23, + "learning_rate": 1.7918823335067164e-05, + "loss": 0.7937, + "step": 1472 + }, + { + "epoch": 0.23, + "learning_rate": 1.791569313556982e-05, + "loss": 0.8083, + "step": 1473 + }, + { + "epoch": 0.23, + "learning_rate": 1.791256085768722e-05, + "loss": 0.7834, + "step": 1474 + }, + { + "epoch": 0.23, + "learning_rate": 1.790942650224179e-05, + "loss": 0.8218, + "step": 1475 + }, + { + "epoch": 0.23, + "learning_rate": 1.79062900700565e-05, + "loss": 0.8354, + "step": 1476 + }, + { + "epoch": 0.23, + "learning_rate": 1.7903151561954865e-05, + "loss": 0.7954, + "step": 1477 + }, + { + "epoch": 0.23, + "learning_rate": 1.790001097876096e-05, + "loss": 0.7319, + "step": 1478 + }, + { + "epoch": 0.23, + "learning_rate": 1.7896868321299377e-05, + "loss": 0.7937, + "step": 1479 + }, + { + "epoch": 0.23, + "learning_rate": 1.789372359039528e-05, + "loss": 0.781, + "step": 1480 + }, + { + "epoch": 0.23, + "learning_rate": 1.7890576786874362e-05, + "loss": 0.6702, + "step": 1481 + }, + { + "epoch": 0.23, + "learning_rate": 1.788742791156286e-05, + "loss": 0.7913, + "step": 1482 + }, + { + "epoch": 0.23, + "learning_rate": 1.7884276965287565e-05, + "loss": 0.7883, + "step": 1483 + }, + { + "epoch": 0.23, + "learning_rate": 1.7881123948875805e-05, + "loss": 0.7836, + "step": 1484 + }, + { + "epoch": 0.23, + "learning_rate": 1.7877968863155447e-05, + "loss": 0.8076, + "step": 1485 + }, + { + "epoch": 0.24, + "learning_rate": 1.787481170895492e-05, + "loss": 0.7744, + "step": 1486 + }, + { + "epoch": 0.24, + "learning_rate": 1.787165248710316e-05, + "loss": 0.8574, + "step": 1487 + }, + { + "epoch": 0.24, + "learning_rate": 1.7868491198429688e-05, + "loss": 0.7458, + "step": 1488 + }, + { + "epoch": 0.24, + "learning_rate": 1.7865327843764542e-05, + "loss": 0.8191, + "step": 1489 + }, + { + "epoch": 0.24, + "learning_rate": 1.786216242393831e-05, + "loss": 0.7539, + "step": 1490 + }, + { + "epoch": 0.24, + "learning_rate": 1.7858994939782116e-05, + "loss": 0.7876, + "step": 1491 + }, + { + "epoch": 0.24, + "learning_rate": 1.7855825392127636e-05, + "loss": 0.6617, + "step": 1492 + }, + { + "epoch": 0.24, + "learning_rate": 1.785265378180708e-05, + "loss": 0.8241, + "step": 1493 + }, + { + "epoch": 0.24, + "learning_rate": 1.7849480109653207e-05, + "loss": 0.7305, + "step": 1494 + }, + { + "epoch": 0.24, + "learning_rate": 1.7846304376499308e-05, + "loss": 0.7942, + "step": 1495 + }, + { + "epoch": 0.24, + "learning_rate": 1.784312658317922e-05, + "loss": 0.7656, + "step": 1496 + }, + { + "epoch": 0.24, + "learning_rate": 1.7839946730527324e-05, + "loss": 0.7756, + "step": 1497 + }, + { + "epoch": 0.24, + "learning_rate": 1.7836764819378534e-05, + "loss": 0.8076, + "step": 1498 + }, + { + "epoch": 0.24, + "learning_rate": 1.7833580850568317e-05, + "loss": 0.3073, + "step": 1499 + }, + { + "epoch": 0.24, + "learning_rate": 1.7830394824932663e-05, + "loss": 0.7681, + "step": 1500 + }, + { + "epoch": 0.24, + "learning_rate": 1.7827206743308116e-05, + "loss": 0.7617, + "step": 1501 + }, + { + "epoch": 0.24, + "learning_rate": 1.7824016606531757e-05, + "loss": 0.8662, + "step": 1502 + }, + { + "epoch": 0.24, + "learning_rate": 1.78208244154412e-05, + "loss": 0.8271, + "step": 1503 + }, + { + "epoch": 0.24, + "learning_rate": 1.781763017087461e-05, + "loss": 0.8171, + "step": 1504 + }, + { + "epoch": 0.24, + "learning_rate": 1.781443387367067e-05, + "loss": 0.8584, + "step": 1505 + }, + { + "epoch": 0.24, + "learning_rate": 1.7811235524668635e-05, + "loss": 0.7565, + "step": 1506 + }, + { + "epoch": 0.24, + "learning_rate": 1.7808035124708266e-05, + "loss": 0.7715, + "step": 1507 + }, + { + "epoch": 0.24, + "learning_rate": 1.7804832674629887e-05, + "loss": 0.7871, + "step": 1508 + }, + { + "epoch": 0.24, + "learning_rate": 1.7801628175274338e-05, + "loss": 0.7615, + "step": 1509 + }, + { + "epoch": 0.24, + "learning_rate": 1.779842162748302e-05, + "loss": 0.7197, + "step": 1510 + }, + { + "epoch": 0.24, + "learning_rate": 1.7795213032097857e-05, + "loss": 0.7825, + "step": 1511 + }, + { + "epoch": 0.24, + "learning_rate": 1.7792002389961308e-05, + "loss": 0.8296, + "step": 1512 + }, + { + "epoch": 0.24, + "learning_rate": 1.7788789701916388e-05, + "loss": 0.7939, + "step": 1513 + }, + { + "epoch": 0.24, + "learning_rate": 1.7785574968806626e-05, + "loss": 0.7274, + "step": 1514 + }, + { + "epoch": 0.24, + "learning_rate": 1.7782358191476107e-05, + "loss": 0.7764, + "step": 1515 + }, + { + "epoch": 0.24, + "learning_rate": 1.777913937076944e-05, + "loss": 0.813, + "step": 1516 + }, + { + "epoch": 0.24, + "learning_rate": 1.777591850753177e-05, + "loss": 0.7852, + "step": 1517 + }, + { + "epoch": 0.24, + "learning_rate": 1.7772695602608796e-05, + "loss": 0.7725, + "step": 1518 + }, + { + "epoch": 0.24, + "learning_rate": 1.7769470656846733e-05, + "loss": 0.7733, + "step": 1519 + }, + { + "epoch": 0.24, + "learning_rate": 1.776624367109234e-05, + "loss": 0.8125, + "step": 1520 + }, + { + "epoch": 0.24, + "learning_rate": 1.7763014646192912e-05, + "loss": 0.7491, + "step": 1521 + }, + { + "epoch": 0.24, + "learning_rate": 1.7759783582996276e-05, + "loss": 0.7695, + "step": 1522 + }, + { + "epoch": 0.24, + "learning_rate": 1.77565504823508e-05, + "loss": 0.798, + "step": 1523 + }, + { + "epoch": 0.24, + "learning_rate": 1.7753315345105383e-05, + "loss": 0.7728, + "step": 1524 + }, + { + "epoch": 0.24, + "learning_rate": 1.7750078172109456e-05, + "loss": 0.7648, + "step": 1525 + }, + { + "epoch": 0.24, + "learning_rate": 1.7746838964212994e-05, + "loss": 0.7048, + "step": 1526 + }, + { + "epoch": 0.24, + "learning_rate": 1.7743597722266494e-05, + "loss": 0.7169, + "step": 1527 + }, + { + "epoch": 0.24, + "learning_rate": 1.7740354447120996e-05, + "loss": 0.8508, + "step": 1528 + }, + { + "epoch": 0.24, + "learning_rate": 1.7737109139628073e-05, + "loss": 0.8049, + "step": 1529 + }, + { + "epoch": 0.24, + "learning_rate": 1.7733861800639828e-05, + "loss": 0.8191, + "step": 1530 + }, + { + "epoch": 0.24, + "learning_rate": 1.7730612431008896e-05, + "loss": 0.7488, + "step": 1531 + }, + { + "epoch": 0.24, + "learning_rate": 1.7727361031588453e-05, + "loss": 0.792, + "step": 1532 + }, + { + "epoch": 0.24, + "learning_rate": 1.77241076032322e-05, + "loss": 0.7903, + "step": 1533 + }, + { + "epoch": 0.24, + "learning_rate": 1.7720852146794374e-05, + "loss": 0.8042, + "step": 1534 + }, + { + "epoch": 0.24, + "learning_rate": 1.771759466312975e-05, + "loss": 0.7795, + "step": 1535 + }, + { + "epoch": 0.24, + "learning_rate": 1.771433515309362e-05, + "loss": 0.6736, + "step": 1536 + }, + { + "epoch": 0.24, + "learning_rate": 1.7711073617541825e-05, + "loss": 0.7083, + "step": 1537 + }, + { + "epoch": 0.24, + "learning_rate": 1.7707810057330728e-05, + "loss": 0.8315, + "step": 1538 + }, + { + "epoch": 0.24, + "learning_rate": 1.770454447331723e-05, + "loss": 0.8066, + "step": 1539 + }, + { + "epoch": 0.24, + "learning_rate": 1.7701276866358753e-05, + "loss": 0.8315, + "step": 1540 + }, + { + "epoch": 0.24, + "learning_rate": 1.7698007237313263e-05, + "loss": 0.7825, + "step": 1541 + }, + { + "epoch": 0.24, + "learning_rate": 1.7694735587039245e-05, + "loss": 0.8188, + "step": 1542 + }, + { + "epoch": 0.24, + "learning_rate": 1.7691461916395725e-05, + "loss": 0.7864, + "step": 1543 + }, + { + "epoch": 0.24, + "learning_rate": 1.7688186226242252e-05, + "loss": 0.7756, + "step": 1544 + }, + { + "epoch": 0.24, + "learning_rate": 1.768490851743891e-05, + "loss": 0.3177, + "step": 1545 + }, + { + "epoch": 0.24, + "learning_rate": 1.768162879084631e-05, + "loss": 0.7847, + "step": 1546 + }, + { + "epoch": 0.24, + "learning_rate": 1.7678347047325596e-05, + "loss": 0.2943, + "step": 1547 + }, + { + "epoch": 0.24, + "learning_rate": 1.7675063287738436e-05, + "loss": 0.7896, + "step": 1548 + }, + { + "epoch": 0.25, + "learning_rate": 1.767177751294703e-05, + "loss": 0.7836, + "step": 1549 + }, + { + "epoch": 0.25, + "learning_rate": 1.766848972381412e-05, + "loss": 0.8418, + "step": 1550 + }, + { + "epoch": 0.25, + "learning_rate": 1.766519992120295e-05, + "loss": 0.3033, + "step": 1551 + }, + { + "epoch": 0.25, + "learning_rate": 1.7661908105977313e-05, + "loss": 0.7372, + "step": 1552 + }, + { + "epoch": 0.25, + "learning_rate": 1.7658614279001525e-05, + "loss": 0.7543, + "step": 1553 + }, + { + "epoch": 0.25, + "learning_rate": 1.765531844114043e-05, + "loss": 0.8384, + "step": 1554 + }, + { + "epoch": 0.25, + "learning_rate": 1.7652020593259404e-05, + "loss": 0.7917, + "step": 1555 + }, + { + "epoch": 0.25, + "learning_rate": 1.7648720736224342e-05, + "loss": 0.7358, + "step": 1556 + }, + { + "epoch": 0.25, + "learning_rate": 1.764541887090167e-05, + "loss": 0.7367, + "step": 1557 + }, + { + "epoch": 0.25, + "learning_rate": 1.764211499815835e-05, + "loss": 0.6898, + "step": 1558 + }, + { + "epoch": 0.25, + "learning_rate": 1.7638809118861856e-05, + "loss": 0.7638, + "step": 1559 + }, + { + "epoch": 0.25, + "learning_rate": 1.7635501233880203e-05, + "loss": 0.7681, + "step": 1560 + }, + { + "epoch": 0.25, + "learning_rate": 1.7632191344081923e-05, + "loss": 0.7534, + "step": 1561 + }, + { + "epoch": 0.25, + "learning_rate": 1.762887945033608e-05, + "loss": 0.7925, + "step": 1562 + }, + { + "epoch": 0.25, + "learning_rate": 1.762556555351226e-05, + "loss": 0.7709, + "step": 1563 + }, + { + "epoch": 0.25, + "learning_rate": 1.762224965448058e-05, + "loss": 0.7444, + "step": 1564 + }, + { + "epoch": 0.25, + "learning_rate": 1.761893175411167e-05, + "loss": 0.7501, + "step": 1565 + }, + { + "epoch": 0.25, + "learning_rate": 1.761561185327671e-05, + "loss": 0.7947, + "step": 1566 + }, + { + "epoch": 0.25, + "learning_rate": 1.761228995284738e-05, + "loss": 0.7128, + "step": 1567 + }, + { + "epoch": 0.25, + "learning_rate": 1.7608966053695896e-05, + "loss": 0.7861, + "step": 1568 + }, + { + "epoch": 0.25, + "learning_rate": 1.7605640156695e-05, + "loss": 0.7831, + "step": 1569 + }, + { + "epoch": 0.25, + "learning_rate": 1.7602312262717957e-05, + "loss": 0.7822, + "step": 1570 + }, + { + "epoch": 0.25, + "learning_rate": 1.7598982372638555e-05, + "loss": 0.8096, + "step": 1571 + }, + { + "epoch": 0.25, + "learning_rate": 1.7595650487331107e-05, + "loss": 0.7725, + "step": 1572 + }, + { + "epoch": 0.25, + "learning_rate": 1.759231660767045e-05, + "loss": 0.8599, + "step": 1573 + }, + { + "epoch": 0.25, + "learning_rate": 1.7588980734531948e-05, + "loss": 0.7815, + "step": 1574 + }, + { + "epoch": 0.25, + "learning_rate": 1.758564286879148e-05, + "loss": 0.7676, + "step": 1575 + }, + { + "epoch": 0.25, + "learning_rate": 1.7582303011325458e-05, + "loss": 0.3301, + "step": 1576 + }, + { + "epoch": 0.25, + "learning_rate": 1.7578961163010812e-05, + "loss": 0.8131, + "step": 1577 + }, + { + "epoch": 0.25, + "learning_rate": 1.7575617324724986e-05, + "loss": 0.7754, + "step": 1578 + }, + { + "epoch": 0.25, + "learning_rate": 1.7572271497345968e-05, + "loss": 0.3202, + "step": 1579 + }, + { + "epoch": 0.25, + "learning_rate": 1.756892368175225e-05, + "loss": 0.2939, + "step": 1580 + }, + { + "epoch": 0.25, + "learning_rate": 1.756557387882285e-05, + "loss": 0.7396, + "step": 1581 + }, + { + "epoch": 0.25, + "learning_rate": 1.756222208943731e-05, + "loss": 0.7654, + "step": 1582 + }, + { + "epoch": 0.25, + "learning_rate": 1.7558868314475694e-05, + "loss": 0.8459, + "step": 1583 + }, + { + "epoch": 0.25, + "learning_rate": 1.755551255481859e-05, + "loss": 0.8101, + "step": 1584 + }, + { + "epoch": 0.25, + "learning_rate": 1.75521548113471e-05, + "loss": 0.7916, + "step": 1585 + }, + { + "epoch": 0.25, + "learning_rate": 1.754879508494285e-05, + "loss": 0.3027, + "step": 1586 + }, + { + "epoch": 0.25, + "learning_rate": 1.7545433376487985e-05, + "loss": 0.7358, + "step": 1587 + }, + { + "epoch": 0.25, + "learning_rate": 1.7542069686865178e-05, + "loss": 0.7815, + "step": 1588 + }, + { + "epoch": 0.25, + "learning_rate": 1.7538704016957616e-05, + "loss": 0.8071, + "step": 1589 + }, + { + "epoch": 0.25, + "learning_rate": 1.7535336367649006e-05, + "loss": 0.8074, + "step": 1590 + }, + { + "epoch": 0.25, + "learning_rate": 1.7531966739823568e-05, + "loss": 0.2999, + "step": 1591 + }, + { + "epoch": 0.25, + "learning_rate": 1.7528595134366063e-05, + "loss": 0.7568, + "step": 1592 + }, + { + "epoch": 0.25, + "learning_rate": 1.7525221552161744e-05, + "loss": 0.8342, + "step": 1593 + }, + { + "epoch": 0.25, + "learning_rate": 1.7521845994096402e-05, + "loss": 0.7961, + "step": 1594 + }, + { + "epoch": 0.25, + "learning_rate": 1.751846846105634e-05, + "loss": 0.8044, + "step": 1595 + }, + { + "epoch": 0.25, + "learning_rate": 1.7515088953928385e-05, + "loss": 0.7961, + "step": 1596 + }, + { + "epoch": 0.25, + "learning_rate": 1.751170747359987e-05, + "loss": 0.7321, + "step": 1597 + }, + { + "epoch": 0.25, + "learning_rate": 1.750832402095866e-05, + "loss": 0.7681, + "step": 1598 + }, + { + "epoch": 0.25, + "learning_rate": 1.750493859689313e-05, + "loss": 0.8003, + "step": 1599 + }, + { + "epoch": 0.25, + "learning_rate": 1.7501551202292174e-05, + "loss": 0.8062, + "step": 1600 + }, + { + "epoch": 0.25, + "learning_rate": 1.74981618380452e-05, + "loss": 0.7693, + "step": 1601 + }, + { + "epoch": 0.25, + "learning_rate": 1.7494770505042143e-05, + "loss": 0.7733, + "step": 1602 + }, + { + "epoch": 0.25, + "learning_rate": 1.7491377204173447e-05, + "loss": 0.8188, + "step": 1603 + }, + { + "epoch": 0.25, + "learning_rate": 1.7487981936330075e-05, + "loss": 0.7697, + "step": 1604 + }, + { + "epoch": 0.25, + "learning_rate": 1.7484584702403503e-05, + "loss": 0.2951, + "step": 1605 + }, + { + "epoch": 0.25, + "learning_rate": 1.748118550328573e-05, + "loss": 0.7461, + "step": 1606 + }, + { + "epoch": 0.25, + "learning_rate": 1.7477784339869267e-05, + "loss": 0.7908, + "step": 1607 + }, + { + "epoch": 0.25, + "learning_rate": 1.7474381213047138e-05, + "loss": 0.7437, + "step": 1608 + }, + { + "epoch": 0.25, + "learning_rate": 1.747097612371289e-05, + "loss": 0.7827, + "step": 1609 + }, + { + "epoch": 0.25, + "learning_rate": 1.7467569072760574e-05, + "loss": 0.7485, + "step": 1610 + }, + { + "epoch": 0.25, + "learning_rate": 1.7464160061084772e-05, + "loss": 0.2731, + "step": 1611 + }, + { + "epoch": 0.26, + "learning_rate": 1.7460749089580566e-05, + "loss": 0.717, + "step": 1612 + }, + { + "epoch": 0.26, + "learning_rate": 1.7457336159143557e-05, + "loss": 0.7837, + "step": 1613 + }, + { + "epoch": 0.26, + "learning_rate": 1.7453921270669866e-05, + "loss": 0.2872, + "step": 1614 + }, + { + "epoch": 0.26, + "learning_rate": 1.7450504425056118e-05, + "loss": 0.8123, + "step": 1615 + }, + { + "epoch": 0.26, + "learning_rate": 1.7447085623199463e-05, + "loss": 0.781, + "step": 1616 + }, + { + "epoch": 0.26, + "learning_rate": 1.744366486599756e-05, + "loss": 0.7405, + "step": 1617 + }, + { + "epoch": 0.26, + "learning_rate": 1.744024215434857e-05, + "loss": 0.7114, + "step": 1618 + }, + { + "epoch": 0.26, + "learning_rate": 1.7436817489151195e-05, + "loss": 0.7577, + "step": 1619 + }, + { + "epoch": 0.26, + "learning_rate": 1.7433390871304623e-05, + "loss": 0.322, + "step": 1620 + }, + { + "epoch": 0.26, + "learning_rate": 1.7429962301708562e-05, + "loss": 0.7819, + "step": 1621 + }, + { + "epoch": 0.26, + "learning_rate": 1.742653178126324e-05, + "loss": 0.7759, + "step": 1622 + }, + { + "epoch": 0.26, + "learning_rate": 1.7423099310869386e-05, + "loss": 0.7556, + "step": 1623 + }, + { + "epoch": 0.26, + "learning_rate": 1.7419664891428255e-05, + "loss": 0.7971, + "step": 1624 + }, + { + "epoch": 0.26, + "learning_rate": 1.74162285238416e-05, + "loss": 0.7228, + "step": 1625 + }, + { + "epoch": 0.26, + "learning_rate": 1.7412790209011698e-05, + "loss": 0.7263, + "step": 1626 + }, + { + "epoch": 0.26, + "learning_rate": 1.7409349947841327e-05, + "loss": 0.776, + "step": 1627 + }, + { + "epoch": 0.26, + "learning_rate": 1.7405907741233773e-05, + "loss": 0.7325, + "step": 1628 + }, + { + "epoch": 0.26, + "learning_rate": 1.7402463590092852e-05, + "loss": 0.7908, + "step": 1629 + }, + { + "epoch": 0.26, + "learning_rate": 1.739901749532287e-05, + "loss": 0.7832, + "step": 1630 + }, + { + "epoch": 0.26, + "learning_rate": 1.739556945782865e-05, + "loss": 0.7306, + "step": 1631 + }, + { + "epoch": 0.26, + "learning_rate": 1.7392119478515534e-05, + "loss": 0.309, + "step": 1632 + }, + { + "epoch": 0.26, + "learning_rate": 1.7388667558289358e-05, + "loss": 0.7422, + "step": 1633 + }, + { + "epoch": 0.26, + "learning_rate": 1.7385213698056484e-05, + "loss": 0.7891, + "step": 1634 + }, + { + "epoch": 0.26, + "learning_rate": 1.738175789872377e-05, + "loss": 0.8245, + "step": 1635 + }, + { + "epoch": 0.26, + "learning_rate": 1.737830016119859e-05, + "loss": 0.7556, + "step": 1636 + }, + { + "epoch": 0.26, + "learning_rate": 1.7374840486388823e-05, + "loss": 0.7565, + "step": 1637 + }, + { + "epoch": 0.26, + "learning_rate": 1.7371378875202865e-05, + "loss": 0.7098, + "step": 1638 + }, + { + "epoch": 0.26, + "learning_rate": 1.736791532854961e-05, + "loss": 0.7717, + "step": 1639 + }, + { + "epoch": 0.26, + "learning_rate": 1.736444984733847e-05, + "loss": 0.759, + "step": 1640 + }, + { + "epoch": 0.26, + "learning_rate": 1.736098243247935e-05, + "loss": 0.285, + "step": 1641 + }, + { + "epoch": 0.26, + "learning_rate": 1.7357513084882676e-05, + "loss": 0.8064, + "step": 1642 + }, + { + "epoch": 0.26, + "learning_rate": 1.7354041805459383e-05, + "loss": 0.7487, + "step": 1643 + }, + { + "epoch": 0.26, + "learning_rate": 1.7350568595120906e-05, + "loss": 0.8002, + "step": 1644 + }, + { + "epoch": 0.26, + "learning_rate": 1.7347093454779185e-05, + "loss": 0.7426, + "step": 1645 + }, + { + "epoch": 0.26, + "learning_rate": 1.7343616385346674e-05, + "loss": 0.775, + "step": 1646 + }, + { + "epoch": 0.26, + "learning_rate": 1.734013738773633e-05, + "loss": 0.7559, + "step": 1647 + }, + { + "epoch": 0.26, + "learning_rate": 1.7336656462861617e-05, + "loss": 0.7189, + "step": 1648 + }, + { + "epoch": 0.26, + "learning_rate": 1.7333173611636502e-05, + "loss": 0.7527, + "step": 1649 + }, + { + "epoch": 0.26, + "learning_rate": 1.7329688834975465e-05, + "loss": 0.8142, + "step": 1650 + }, + { + "epoch": 0.26, + "learning_rate": 1.7326202133793485e-05, + "loss": 0.7406, + "step": 1651 + }, + { + "epoch": 0.26, + "learning_rate": 1.732271350900604e-05, + "loss": 0.7969, + "step": 1652 + }, + { + "epoch": 0.26, + "learning_rate": 1.7319222961529137e-05, + "loss": 0.7734, + "step": 1653 + }, + { + "epoch": 0.26, + "learning_rate": 1.7315730492279262e-05, + "loss": 0.813, + "step": 1654 + }, + { + "epoch": 0.26, + "learning_rate": 1.7312236102173416e-05, + "loss": 0.7861, + "step": 1655 + }, + { + "epoch": 0.26, + "learning_rate": 1.7308739792129108e-05, + "loss": 0.2587, + "step": 1656 + }, + { + "epoch": 0.26, + "learning_rate": 1.7305241563064346e-05, + "loss": 0.7782, + "step": 1657 + }, + { + "epoch": 0.26, + "learning_rate": 1.730174141589764e-05, + "loss": 0.8428, + "step": 1658 + }, + { + "epoch": 0.26, + "learning_rate": 1.729823935154801e-05, + "loss": 0.7656, + "step": 1659 + }, + { + "epoch": 0.26, + "learning_rate": 1.7294735370934974e-05, + "loss": 0.7637, + "step": 1660 + }, + { + "epoch": 0.26, + "learning_rate": 1.7291229474978557e-05, + "loss": 0.8081, + "step": 1661 + }, + { + "epoch": 0.26, + "learning_rate": 1.728772166459928e-05, + "loss": 0.8097, + "step": 1662 + }, + { + "epoch": 0.26, + "learning_rate": 1.7284211940718182e-05, + "loss": 0.752, + "step": 1663 + }, + { + "epoch": 0.26, + "learning_rate": 1.7280700304256788e-05, + "loss": 0.7659, + "step": 1664 + }, + { + "epoch": 0.26, + "learning_rate": 1.727718675613713e-05, + "loss": 0.7883, + "step": 1665 + }, + { + "epoch": 0.26, + "learning_rate": 1.7273671297281745e-05, + "loss": 0.7787, + "step": 1666 + }, + { + "epoch": 0.26, + "learning_rate": 1.7270153928613673e-05, + "loss": 0.7986, + "step": 1667 + }, + { + "epoch": 0.26, + "learning_rate": 1.7266634651056447e-05, + "loss": 0.7954, + "step": 1668 + }, + { + "epoch": 0.26, + "learning_rate": 1.726311346553411e-05, + "loss": 0.7832, + "step": 1669 + }, + { + "epoch": 0.26, + "learning_rate": 1.72595903729712e-05, + "loss": 0.7939, + "step": 1670 + }, + { + "epoch": 0.26, + "learning_rate": 1.7256065374292763e-05, + "loss": 0.7551, + "step": 1671 + }, + { + "epoch": 0.26, + "learning_rate": 1.7252538470424337e-05, + "loss": 0.7255, + "step": 1672 + }, + { + "epoch": 0.26, + "learning_rate": 1.7249009662291966e-05, + "loss": 0.8153, + "step": 1673 + }, + { + "epoch": 0.26, + "learning_rate": 1.724547895082219e-05, + "loss": 0.8391, + "step": 1674 + }, + { + "epoch": 0.26, + "learning_rate": 1.7241946336942054e-05, + "loss": 0.7045, + "step": 1675 + }, + { + "epoch": 0.27, + "learning_rate": 1.72384118215791e-05, + "loss": 0.8083, + "step": 1676 + }, + { + "epoch": 0.27, + "learning_rate": 1.7234875405661363e-05, + "loss": 0.7594, + "step": 1677 + }, + { + "epoch": 0.27, + "learning_rate": 1.7231337090117387e-05, + "loss": 0.7755, + "step": 1678 + }, + { + "epoch": 0.27, + "learning_rate": 1.7227796875876205e-05, + "loss": 0.7949, + "step": 1679 + }, + { + "epoch": 0.27, + "learning_rate": 1.7224254763867364e-05, + "loss": 0.811, + "step": 1680 + }, + { + "epoch": 0.27, + "learning_rate": 1.722071075502089e-05, + "loss": 0.8357, + "step": 1681 + }, + { + "epoch": 0.27, + "learning_rate": 1.7217164850267322e-05, + "loss": 0.8274, + "step": 1682 + }, + { + "epoch": 0.27, + "learning_rate": 1.7213617050537686e-05, + "loss": 0.2925, + "step": 1683 + }, + { + "epoch": 0.27, + "learning_rate": 1.7210067356763514e-05, + "loss": 0.8396, + "step": 1684 + }, + { + "epoch": 0.27, + "learning_rate": 1.720651576987683e-05, + "loss": 0.7897, + "step": 1685 + }, + { + "epoch": 0.27, + "learning_rate": 1.7202962290810162e-05, + "loss": 0.7972, + "step": 1686 + }, + { + "epoch": 0.27, + "learning_rate": 1.719940692049652e-05, + "loss": 0.7192, + "step": 1687 + }, + { + "epoch": 0.27, + "learning_rate": 1.7195849659869433e-05, + "loss": 0.7831, + "step": 1688 + }, + { + "epoch": 0.27, + "learning_rate": 1.7192290509862905e-05, + "loss": 0.7905, + "step": 1689 + }, + { + "epoch": 0.27, + "learning_rate": 1.7188729471411446e-05, + "loss": 0.7812, + "step": 1690 + }, + { + "epoch": 0.27, + "learning_rate": 1.718516654545006e-05, + "loss": 0.8074, + "step": 1691 + }, + { + "epoch": 0.27, + "learning_rate": 1.718160173291425e-05, + "loss": 0.803, + "step": 1692 + }, + { + "epoch": 0.27, + "learning_rate": 1.7178035034740012e-05, + "loss": 0.7627, + "step": 1693 + }, + { + "epoch": 0.27, + "learning_rate": 1.7174466451863834e-05, + "loss": 0.7123, + "step": 1694 + }, + { + "epoch": 0.27, + "learning_rate": 1.71708959852227e-05, + "loss": 0.8174, + "step": 1695 + }, + { + "epoch": 0.27, + "learning_rate": 1.7167323635754098e-05, + "loss": 0.7721, + "step": 1696 + }, + { + "epoch": 0.27, + "learning_rate": 1.7163749404395993e-05, + "loss": 0.8026, + "step": 1697 + }, + { + "epoch": 0.27, + "learning_rate": 1.7160173292086862e-05, + "loss": 0.7264, + "step": 1698 + }, + { + "epoch": 0.27, + "learning_rate": 1.715659529976566e-05, + "loss": 0.7135, + "step": 1699 + }, + { + "epoch": 0.27, + "learning_rate": 1.7153015428371847e-05, + "loss": 0.7555, + "step": 1700 + }, + { + "epoch": 0.27, + "learning_rate": 1.714943367884537e-05, + "loss": 0.7653, + "step": 1701 + }, + { + "epoch": 0.27, + "learning_rate": 1.7145850052126676e-05, + "loss": 0.7407, + "step": 1702 + }, + { + "epoch": 0.27, + "learning_rate": 1.7142264549156703e-05, + "loss": 0.7644, + "step": 1703 + }, + { + "epoch": 0.27, + "learning_rate": 1.713867717087687e-05, + "loss": 0.8462, + "step": 1704 + }, + { + "epoch": 0.27, + "learning_rate": 1.71350879182291e-05, + "loss": 0.729, + "step": 1705 + }, + { + "epoch": 0.27, + "learning_rate": 1.713149679215581e-05, + "loss": 0.7246, + "step": 1706 + }, + { + "epoch": 0.27, + "learning_rate": 1.7127903793599904e-05, + "loss": 0.7467, + "step": 1707 + }, + { + "epoch": 0.27, + "learning_rate": 1.7124308923504772e-05, + "loss": 0.8145, + "step": 1708 + }, + { + "epoch": 0.27, + "learning_rate": 1.7120712182814308e-05, + "loss": 0.8245, + "step": 1709 + }, + { + "epoch": 0.27, + "learning_rate": 1.711711357247289e-05, + "loss": 0.7723, + "step": 1710 + }, + { + "epoch": 0.27, + "learning_rate": 1.7113513093425386e-05, + "loss": 0.7888, + "step": 1711 + }, + { + "epoch": 0.27, + "learning_rate": 1.710991074661716e-05, + "loss": 0.7852, + "step": 1712 + }, + { + "epoch": 0.27, + "learning_rate": 1.7106306532994055e-05, + "loss": 0.7482, + "step": 1713 + }, + { + "epoch": 0.27, + "learning_rate": 1.7102700453502417e-05, + "loss": 0.7548, + "step": 1714 + }, + { + "epoch": 0.27, + "learning_rate": 1.709909250908908e-05, + "loss": 0.7953, + "step": 1715 + }, + { + "epoch": 0.27, + "learning_rate": 1.709548270070136e-05, + "loss": 0.8242, + "step": 1716 + }, + { + "epoch": 0.27, + "learning_rate": 1.709187102928707e-05, + "loss": 0.8, + "step": 1717 + }, + { + "epoch": 0.27, + "learning_rate": 1.7088257495794506e-05, + "loss": 0.8254, + "step": 1718 + }, + { + "epoch": 0.27, + "learning_rate": 1.708464210117246e-05, + "loss": 0.7451, + "step": 1719 + }, + { + "epoch": 0.27, + "learning_rate": 1.70810248463702e-05, + "loss": 0.7885, + "step": 1720 + }, + { + "epoch": 0.27, + "learning_rate": 1.7077405732337497e-05, + "loss": 0.7898, + "step": 1721 + }, + { + "epoch": 0.27, + "learning_rate": 1.7073784760024607e-05, + "loss": 0.7935, + "step": 1722 + }, + { + "epoch": 0.27, + "learning_rate": 1.7070161930382268e-05, + "loss": 0.7571, + "step": 1723 + }, + { + "epoch": 0.27, + "learning_rate": 1.706653724436171e-05, + "loss": 0.7661, + "step": 1724 + }, + { + "epoch": 0.27, + "learning_rate": 1.7062910702914645e-05, + "loss": 0.8203, + "step": 1725 + }, + { + "epoch": 0.27, + "learning_rate": 1.7059282306993287e-05, + "loss": 0.739, + "step": 1726 + }, + { + "epoch": 0.27, + "learning_rate": 1.7055652057550314e-05, + "loss": 0.8047, + "step": 1727 + }, + { + "epoch": 0.27, + "learning_rate": 1.705201995553891e-05, + "loss": 0.3207, + "step": 1728 + }, + { + "epoch": 0.27, + "learning_rate": 1.7048386001912735e-05, + "loss": 0.7595, + "step": 1729 + }, + { + "epoch": 0.27, + "learning_rate": 1.7044750197625942e-05, + "loss": 0.7942, + "step": 1730 + }, + { + "epoch": 0.27, + "learning_rate": 1.7041112543633164e-05, + "loss": 0.8025, + "step": 1731 + }, + { + "epoch": 0.27, + "learning_rate": 1.7037473040889526e-05, + "loss": 0.7812, + "step": 1732 + }, + { + "epoch": 0.27, + "learning_rate": 1.703383169035063e-05, + "loss": 0.7604, + "step": 1733 + }, + { + "epoch": 0.27, + "learning_rate": 1.703018849297257e-05, + "loss": 0.7731, + "step": 1734 + }, + { + "epoch": 0.27, + "learning_rate": 1.7026543449711924e-05, + "loss": 0.7546, + "step": 1735 + }, + { + "epoch": 0.27, + "learning_rate": 1.702289656152575e-05, + "loss": 0.7996, + "step": 1736 + }, + { + "epoch": 0.27, + "learning_rate": 1.7019247829371595e-05, + "loss": 0.8174, + "step": 1737 + }, + { + "epoch": 0.27, + "learning_rate": 1.701559725420749e-05, + "loss": 0.6667, + "step": 1738 + }, + { + "epoch": 0.28, + "learning_rate": 1.701194483699195e-05, + "loss": 0.7693, + "step": 1739 + }, + { + "epoch": 0.28, + "learning_rate": 1.700829057868397e-05, + "loss": 0.7688, + "step": 1740 + }, + { + "epoch": 0.28, + "learning_rate": 1.700463448024303e-05, + "loss": 0.7839, + "step": 1741 + }, + { + "epoch": 0.28, + "learning_rate": 1.7000976542629096e-05, + "loss": 0.7832, + "step": 1742 + }, + { + "epoch": 0.28, + "learning_rate": 1.6997316766802618e-05, + "loss": 0.762, + "step": 1743 + }, + { + "epoch": 0.28, + "learning_rate": 1.6993655153724523e-05, + "loss": 0.7874, + "step": 1744 + }, + { + "epoch": 0.28, + "learning_rate": 1.6989991704356218e-05, + "loss": 0.7664, + "step": 1745 + }, + { + "epoch": 0.28, + "learning_rate": 1.6986326419659605e-05, + "loss": 0.7747, + "step": 1746 + }, + { + "epoch": 0.28, + "learning_rate": 1.6982659300597055e-05, + "loss": 0.7517, + "step": 1747 + }, + { + "epoch": 0.28, + "learning_rate": 1.6978990348131426e-05, + "loss": 0.7406, + "step": 1748 + }, + { + "epoch": 0.28, + "learning_rate": 1.6975319563226063e-05, + "loss": 0.8542, + "step": 1749 + }, + { + "epoch": 0.28, + "learning_rate": 1.697164694684478e-05, + "loss": 0.7771, + "step": 1750 + }, + { + "epoch": 0.28, + "learning_rate": 1.696797249995188e-05, + "loss": 0.7979, + "step": 1751 + }, + { + "epoch": 0.28, + "learning_rate": 1.6964296223512146e-05, + "loss": 0.8018, + "step": 1752 + }, + { + "epoch": 0.28, + "learning_rate": 1.6960618118490833e-05, + "loss": 0.8098, + "step": 1753 + }, + { + "epoch": 0.28, + "learning_rate": 1.6956938185853697e-05, + "loss": 0.7539, + "step": 1754 + }, + { + "epoch": 0.28, + "learning_rate": 1.6953256426566946e-05, + "loss": 0.7391, + "step": 1755 + }, + { + "epoch": 0.28, + "learning_rate": 1.6949572841597294e-05, + "loss": 0.8413, + "step": 1756 + }, + { + "epoch": 0.28, + "learning_rate": 1.6945887431911913e-05, + "loss": 0.741, + "step": 1757 + }, + { + "epoch": 0.28, + "learning_rate": 1.6942200198478463e-05, + "loss": 0.7549, + "step": 1758 + }, + { + "epoch": 0.28, + "learning_rate": 1.693851114226509e-05, + "loss": 0.8228, + "step": 1759 + }, + { + "epoch": 0.28, + "learning_rate": 1.693482026424041e-05, + "loss": 0.7859, + "step": 1760 + }, + { + "epoch": 0.28, + "learning_rate": 1.693112756537351e-05, + "loss": 0.7917, + "step": 1761 + }, + { + "epoch": 0.28, + "learning_rate": 1.692743304663398e-05, + "loss": 0.7992, + "step": 1762 + }, + { + "epoch": 0.28, + "learning_rate": 1.6923736708991856e-05, + "loss": 0.7684, + "step": 1763 + }, + { + "epoch": 0.28, + "learning_rate": 1.6920038553417675e-05, + "loss": 0.7585, + "step": 1764 + }, + { + "epoch": 0.28, + "learning_rate": 1.6916338580882446e-05, + "loss": 0.7915, + "step": 1765 + }, + { + "epoch": 0.28, + "learning_rate": 1.6912636792357648e-05, + "loss": 0.8376, + "step": 1766 + }, + { + "epoch": 0.28, + "learning_rate": 1.6908933188815245e-05, + "loss": 0.8279, + "step": 1767 + }, + { + "epoch": 0.28, + "learning_rate": 1.6905227771227672e-05, + "loss": 0.7679, + "step": 1768 + }, + { + "epoch": 0.28, + "learning_rate": 1.6901520540567844e-05, + "loss": 0.8809, + "step": 1769 + }, + { + "epoch": 0.28, + "learning_rate": 1.6897811497809154e-05, + "loss": 0.7407, + "step": 1770 + }, + { + "epoch": 0.28, + "learning_rate": 1.6894100643925456e-05, + "loss": 0.7917, + "step": 1771 + }, + { + "epoch": 0.28, + "learning_rate": 1.6890387979891106e-05, + "loss": 0.8049, + "step": 1772 + }, + { + "epoch": 0.28, + "learning_rate": 1.688667350668091e-05, + "loss": 0.7466, + "step": 1773 + }, + { + "epoch": 0.28, + "learning_rate": 1.6882957225270164e-05, + "loss": 0.8, + "step": 1774 + }, + { + "epoch": 0.28, + "learning_rate": 1.687923913663463e-05, + "loss": 0.7854, + "step": 1775 + }, + { + "epoch": 0.28, + "learning_rate": 1.687551924175055e-05, + "loss": 0.7483, + "step": 1776 + }, + { + "epoch": 0.28, + "learning_rate": 1.687179754159464e-05, + "loss": 0.8408, + "step": 1777 + }, + { + "epoch": 0.28, + "learning_rate": 1.686807403714409e-05, + "loss": 0.801, + "step": 1778 + }, + { + "epoch": 0.28, + "learning_rate": 1.686434872937656e-05, + "loss": 0.8672, + "step": 1779 + }, + { + "epoch": 0.28, + "learning_rate": 1.686062161927019e-05, + "loss": 0.7599, + "step": 1780 + }, + { + "epoch": 0.28, + "learning_rate": 1.685689270780358e-05, + "loss": 0.7805, + "step": 1781 + }, + { + "epoch": 0.28, + "learning_rate": 1.6853161995955823e-05, + "loss": 0.7769, + "step": 1782 + }, + { + "epoch": 0.28, + "learning_rate": 1.6849429484706467e-05, + "loss": 0.7445, + "step": 1783 + }, + { + "epoch": 0.28, + "learning_rate": 1.684569517503554e-05, + "loss": 0.7253, + "step": 1784 + }, + { + "epoch": 0.28, + "learning_rate": 1.684195906792355e-05, + "loss": 0.7804, + "step": 1785 + }, + { + "epoch": 0.28, + "learning_rate": 1.6838221164351458e-05, + "loss": 0.8069, + "step": 1786 + }, + { + "epoch": 0.28, + "learning_rate": 1.683448146530071e-05, + "loss": 0.804, + "step": 1787 + }, + { + "epoch": 0.28, + "learning_rate": 1.6830739971753224e-05, + "loss": 0.7524, + "step": 1788 + }, + { + "epoch": 0.28, + "learning_rate": 1.6826996684691384e-05, + "loss": 0.8215, + "step": 1789 + }, + { + "epoch": 0.28, + "learning_rate": 1.6823251605098045e-05, + "loss": 0.7645, + "step": 1790 + }, + { + "epoch": 0.28, + "learning_rate": 1.681950473395654e-05, + "loss": 0.7798, + "step": 1791 + }, + { + "epoch": 0.28, + "learning_rate": 1.681575607225066e-05, + "loss": 0.2791, + "step": 1792 + }, + { + "epoch": 0.28, + "learning_rate": 1.6812005620964676e-05, + "loss": 0.8149, + "step": 1793 + }, + { + "epoch": 0.28, + "learning_rate": 1.6808253381083326e-05, + "loss": 0.7849, + "step": 1794 + }, + { + "epoch": 0.28, + "learning_rate": 1.6804499353591815e-05, + "loss": 0.739, + "step": 1795 + }, + { + "epoch": 0.28, + "learning_rate": 1.6800743539475827e-05, + "loss": 0.834, + "step": 1796 + }, + { + "epoch": 0.28, + "learning_rate": 1.67969859397215e-05, + "loss": 0.7501, + "step": 1797 + }, + { + "epoch": 0.28, + "learning_rate": 1.6793226555315452e-05, + "loss": 0.741, + "step": 1798 + }, + { + "epoch": 0.28, + "learning_rate": 1.6789465387244764e-05, + "loss": 0.7535, + "step": 1799 + }, + { + "epoch": 0.28, + "learning_rate": 1.6785702436496992e-05, + "loss": 0.7933, + "step": 1800 + }, + { + "epoch": 0.28, + "learning_rate": 1.6781937704060156e-05, + "loss": 0.8589, + "step": 1801 + }, + { + "epoch": 0.29, + "learning_rate": 1.677817119092274e-05, + "loss": 0.772, + "step": 1802 + }, + { + "epoch": 0.29, + "learning_rate": 1.67744028980737e-05, + "loss": 0.6964, + "step": 1803 + }, + { + "epoch": 0.29, + "learning_rate": 1.6770632826502457e-05, + "loss": 0.3174, + "step": 1804 + }, + { + "epoch": 0.29, + "learning_rate": 1.6766860977198903e-05, + "loss": 0.7732, + "step": 1805 + }, + { + "epoch": 0.29, + "learning_rate": 1.6763087351153395e-05, + "loss": 0.8101, + "step": 1806 + }, + { + "epoch": 0.29, + "learning_rate": 1.675931194935675e-05, + "loss": 0.8579, + "step": 1807 + }, + { + "epoch": 0.29, + "learning_rate": 1.6755534772800266e-05, + "loss": 0.7805, + "step": 1808 + }, + { + "epoch": 0.29, + "learning_rate": 1.6751755822475695e-05, + "loss": 0.6913, + "step": 1809 + }, + { + "epoch": 0.29, + "learning_rate": 1.674797509937525e-05, + "loss": 0.8011, + "step": 1810 + }, + { + "epoch": 0.29, + "learning_rate": 1.674419260449163e-05, + "loss": 0.7769, + "step": 1811 + }, + { + "epoch": 0.29, + "learning_rate": 1.674040833881797e-05, + "loss": 0.8, + "step": 1812 + }, + { + "epoch": 0.29, + "learning_rate": 1.67366223033479e-05, + "loss": 0.8501, + "step": 1813 + }, + { + "epoch": 0.29, + "learning_rate": 1.6732834499075502e-05, + "loss": 0.7944, + "step": 1814 + }, + { + "epoch": 0.29, + "learning_rate": 1.672904492699531e-05, + "loss": 0.7692, + "step": 1815 + }, + { + "epoch": 0.29, + "learning_rate": 1.6725253588102343e-05, + "loss": 0.7831, + "step": 1816 + }, + { + "epoch": 0.29, + "learning_rate": 1.672146048339207e-05, + "loss": 0.7732, + "step": 1817 + }, + { + "epoch": 0.29, + "learning_rate": 1.671766561386043e-05, + "loss": 0.8333, + "step": 1818 + }, + { + "epoch": 0.29, + "learning_rate": 1.6713868980503824e-05, + "loss": 0.7402, + "step": 1819 + }, + { + "epoch": 0.29, + "learning_rate": 1.6710070584319115e-05, + "loss": 0.7379, + "step": 1820 + }, + { + "epoch": 0.29, + "learning_rate": 1.6706270426303626e-05, + "loss": 0.2991, + "step": 1821 + }, + { + "epoch": 0.29, + "learning_rate": 1.6702468507455152e-05, + "loss": 0.7402, + "step": 1822 + }, + { + "epoch": 0.29, + "learning_rate": 1.669866482877194e-05, + "loss": 0.7743, + "step": 1823 + }, + { + "epoch": 0.29, + "learning_rate": 1.669485939125271e-05, + "loss": 0.8135, + "step": 1824 + }, + { + "epoch": 0.29, + "learning_rate": 1.6691052195896626e-05, + "loss": 0.8042, + "step": 1825 + }, + { + "epoch": 0.29, + "learning_rate": 1.6687243243703335e-05, + "loss": 0.7715, + "step": 1826 + }, + { + "epoch": 0.29, + "learning_rate": 1.668343253567293e-05, + "loss": 0.7861, + "step": 1827 + }, + { + "epoch": 0.29, + "learning_rate": 1.6679620072805975e-05, + "loss": 0.7863, + "step": 1828 + }, + { + "epoch": 0.29, + "learning_rate": 1.6675805856103485e-05, + "loss": 0.7966, + "step": 1829 + }, + { + "epoch": 0.29, + "learning_rate": 1.6671989886566945e-05, + "loss": 0.291, + "step": 1830 + }, + { + "epoch": 0.29, + "learning_rate": 1.666817216519829e-05, + "loss": 0.8213, + "step": 1831 + }, + { + "epoch": 0.29, + "learning_rate": 1.6664352692999922e-05, + "loss": 0.7402, + "step": 1832 + }, + { + "epoch": 0.29, + "learning_rate": 1.6660531470974705e-05, + "loss": 0.8635, + "step": 1833 + }, + { + "epoch": 0.29, + "learning_rate": 1.6656708500125956e-05, + "loss": 0.8184, + "step": 1834 + }, + { + "epoch": 0.29, + "learning_rate": 1.6652883781457453e-05, + "loss": 0.7786, + "step": 1835 + }, + { + "epoch": 0.29, + "learning_rate": 1.664905731597344e-05, + "loss": 0.7468, + "step": 1836 + }, + { + "epoch": 0.29, + "learning_rate": 1.6645229104678606e-05, + "loss": 0.7697, + "step": 1837 + }, + { + "epoch": 0.29, + "learning_rate": 1.6641399148578107e-05, + "loss": 0.7949, + "step": 1838 + }, + { + "epoch": 0.29, + "learning_rate": 1.663756744867756e-05, + "loss": 0.8059, + "step": 1839 + }, + { + "epoch": 0.29, + "learning_rate": 1.6633734005983037e-05, + "loss": 0.2979, + "step": 1840 + }, + { + "epoch": 0.29, + "learning_rate": 1.662989882150106e-05, + "loss": 0.792, + "step": 1841 + }, + { + "epoch": 0.29, + "learning_rate": 1.6626061896238616e-05, + "loss": 0.7964, + "step": 1842 + }, + { + "epoch": 0.29, + "learning_rate": 1.6622223231203153e-05, + "loss": 0.7183, + "step": 1843 + }, + { + "epoch": 0.29, + "learning_rate": 1.661838282740257e-05, + "loss": 0.7146, + "step": 1844 + }, + { + "epoch": 0.29, + "learning_rate": 1.6614540685845218e-05, + "loss": 0.7637, + "step": 1845 + }, + { + "epoch": 0.29, + "learning_rate": 1.6610696807539913e-05, + "loss": 0.7112, + "step": 1846 + }, + { + "epoch": 0.29, + "learning_rate": 1.6606851193495923e-05, + "loss": 0.7209, + "step": 1847 + }, + { + "epoch": 0.29, + "learning_rate": 1.660300384472297e-05, + "loss": 0.7803, + "step": 1848 + }, + { + "epoch": 0.29, + "learning_rate": 1.659915476223124e-05, + "loss": 0.7141, + "step": 1849 + }, + { + "epoch": 0.29, + "learning_rate": 1.659530394703137e-05, + "loss": 0.8071, + "step": 1850 + }, + { + "epoch": 0.29, + "learning_rate": 1.6591451400134432e-05, + "loss": 0.7722, + "step": 1851 + }, + { + "epoch": 0.29, + "learning_rate": 1.6587597122551988e-05, + "loss": 0.7673, + "step": 1852 + }, + { + "epoch": 0.29, + "learning_rate": 1.658374111529603e-05, + "loss": 0.7561, + "step": 1853 + }, + { + "epoch": 0.29, + "learning_rate": 1.6579883379379017e-05, + "loss": 0.7809, + "step": 1854 + }, + { + "epoch": 0.29, + "learning_rate": 1.657602391581385e-05, + "loss": 0.761, + "step": 1855 + }, + { + "epoch": 0.29, + "learning_rate": 1.657216272561389e-05, + "loss": 0.8008, + "step": 1856 + }, + { + "epoch": 0.29, + "learning_rate": 1.6568299809792957e-05, + "loss": 0.72, + "step": 1857 + }, + { + "epoch": 0.29, + "learning_rate": 1.6564435169365308e-05, + "loss": 0.7979, + "step": 1858 + }, + { + "epoch": 0.29, + "learning_rate": 1.6560568805345673e-05, + "loss": 0.7395, + "step": 1859 + }, + { + "epoch": 0.29, + "learning_rate": 1.6556700718749218e-05, + "loss": 0.7708, + "step": 1860 + }, + { + "epoch": 0.29, + "learning_rate": 1.655283091059157e-05, + "loss": 0.7408, + "step": 1861 + }, + { + "epoch": 0.29, + "learning_rate": 1.6548959381888807e-05, + "loss": 0.7969, + "step": 1862 + }, + { + "epoch": 0.29, + "learning_rate": 1.654508613365746e-05, + "loss": 0.7479, + "step": 1863 + }, + { + "epoch": 0.29, + "learning_rate": 1.65412111669145e-05, + "loss": 0.7498, + "step": 1864 + }, + { + "epoch": 0.3, + "learning_rate": 1.6537334482677362e-05, + "loss": 0.7605, + "step": 1865 + }, + { + "epoch": 0.3, + "learning_rate": 1.6533456081963932e-05, + "loss": 0.7932, + "step": 1866 + }, + { + "epoch": 0.3, + "learning_rate": 1.6529575965792543e-05, + "loss": 0.7424, + "step": 1867 + }, + { + "epoch": 0.3, + "learning_rate": 1.6525694135181976e-05, + "loss": 0.7637, + "step": 1868 + }, + { + "epoch": 0.3, + "learning_rate": 1.6521810591151462e-05, + "loss": 0.3295, + "step": 1869 + }, + { + "epoch": 0.3, + "learning_rate": 1.651792533472069e-05, + "loss": 0.7593, + "step": 1870 + }, + { + "epoch": 0.3, + "learning_rate": 1.651403836690979e-05, + "loss": 0.7297, + "step": 1871 + }, + { + "epoch": 0.3, + "learning_rate": 1.6510149688739342e-05, + "loss": 0.7598, + "step": 1872 + }, + { + "epoch": 0.3, + "learning_rate": 1.650625930123038e-05, + "loss": 0.8264, + "step": 1873 + }, + { + "epoch": 0.3, + "learning_rate": 1.6502367205404385e-05, + "loss": 0.7717, + "step": 1874 + }, + { + "epoch": 0.3, + "learning_rate": 1.6498473402283286e-05, + "loss": 0.7986, + "step": 1875 + }, + { + "epoch": 0.3, + "learning_rate": 1.6494577892889458e-05, + "loss": 0.7504, + "step": 1876 + }, + { + "epoch": 0.3, + "learning_rate": 1.6490680678245725e-05, + "loss": 0.7803, + "step": 1877 + }, + { + "epoch": 0.3, + "learning_rate": 1.6486781759375365e-05, + "loss": 0.7786, + "step": 1878 + }, + { + "epoch": 0.3, + "learning_rate": 1.6482881137302095e-05, + "loss": 0.7847, + "step": 1879 + }, + { + "epoch": 0.3, + "learning_rate": 1.647897881305008e-05, + "loss": 0.8181, + "step": 1880 + }, + { + "epoch": 0.3, + "learning_rate": 1.6475074787643937e-05, + "loss": 0.8467, + "step": 1881 + }, + { + "epoch": 0.3, + "learning_rate": 1.6471169062108726e-05, + "loss": 0.7859, + "step": 1882 + }, + { + "epoch": 0.3, + "learning_rate": 1.6467261637469956e-05, + "loss": 0.8135, + "step": 1883 + }, + { + "epoch": 0.3, + "learning_rate": 1.646335251475358e-05, + "loss": 0.8442, + "step": 1884 + }, + { + "epoch": 0.3, + "learning_rate": 1.6459441694986002e-05, + "loss": 0.74, + "step": 1885 + }, + { + "epoch": 0.3, + "learning_rate": 1.645552917919406e-05, + "loss": 0.7194, + "step": 1886 + }, + { + "epoch": 0.3, + "learning_rate": 1.6451614968405042e-05, + "loss": 0.7531, + "step": 1887 + }, + { + "epoch": 0.3, + "learning_rate": 1.6447699063646695e-05, + "loss": 0.7512, + "step": 1888 + }, + { + "epoch": 0.3, + "learning_rate": 1.6443781465947188e-05, + "loss": 0.8503, + "step": 1889 + }, + { + "epoch": 0.3, + "learning_rate": 1.643986217633515e-05, + "loss": 0.7477, + "step": 1890 + }, + { + "epoch": 0.3, + "learning_rate": 1.6435941195839654e-05, + "loss": 0.702, + "step": 1891 + }, + { + "epoch": 0.3, + "learning_rate": 1.6432018525490205e-05, + "loss": 0.7471, + "step": 1892 + }, + { + "epoch": 0.3, + "learning_rate": 1.6428094166316762e-05, + "loss": 0.7673, + "step": 1893 + }, + { + "epoch": 0.3, + "learning_rate": 1.642416811934973e-05, + "loss": 0.7979, + "step": 1894 + }, + { + "epoch": 0.3, + "learning_rate": 1.6420240385619947e-05, + "loss": 0.7771, + "step": 1895 + }, + { + "epoch": 0.3, + "learning_rate": 1.64163109661587e-05, + "loss": 0.7979, + "step": 1896 + }, + { + "epoch": 0.3, + "learning_rate": 1.641237986199772e-05, + "loss": 0.7859, + "step": 1897 + }, + { + "epoch": 0.3, + "learning_rate": 1.6408447074169175e-05, + "loss": 0.7419, + "step": 1898 + }, + { + "epoch": 0.3, + "learning_rate": 1.640451260370568e-05, + "loss": 0.8098, + "step": 1899 + }, + { + "epoch": 0.3, + "learning_rate": 1.640057645164029e-05, + "loss": 0.7882, + "step": 1900 + }, + { + "epoch": 0.3, + "learning_rate": 1.63966386190065e-05, + "loss": 0.7913, + "step": 1901 + }, + { + "epoch": 0.3, + "learning_rate": 1.6392699106838248e-05, + "loss": 0.8186, + "step": 1902 + }, + { + "epoch": 0.3, + "learning_rate": 1.638875791616991e-05, + "loss": 0.7584, + "step": 1903 + }, + { + "epoch": 0.3, + "learning_rate": 1.6384815048036316e-05, + "loss": 0.7755, + "step": 1904 + }, + { + "epoch": 0.3, + "learning_rate": 1.6380870503472713e-05, + "loss": 0.803, + "step": 1905 + }, + { + "epoch": 0.3, + "learning_rate": 1.6376924283514807e-05, + "loss": 0.7142, + "step": 1906 + }, + { + "epoch": 0.3, + "learning_rate": 1.6372976389198736e-05, + "loss": 0.7797, + "step": 1907 + }, + { + "epoch": 0.3, + "learning_rate": 1.636902682156108e-05, + "loss": 0.7599, + "step": 1908 + }, + { + "epoch": 0.3, + "learning_rate": 1.636507558163886e-05, + "loss": 0.77, + "step": 1909 + }, + { + "epoch": 0.3, + "learning_rate": 1.6361122670469534e-05, + "loss": 0.8333, + "step": 1910 + }, + { + "epoch": 0.3, + "learning_rate": 1.6357168089090992e-05, + "loss": 0.7474, + "step": 1911 + }, + { + "epoch": 0.3, + "learning_rate": 1.6353211838541582e-05, + "loss": 0.804, + "step": 1912 + }, + { + "epoch": 0.3, + "learning_rate": 1.6349253919860065e-05, + "loss": 0.842, + "step": 1913 + }, + { + "epoch": 0.3, + "learning_rate": 1.634529433408566e-05, + "loss": 0.8176, + "step": 1914 + }, + { + "epoch": 0.3, + "learning_rate": 1.634133308225801e-05, + "loss": 0.76, + "step": 1915 + }, + { + "epoch": 0.3, + "learning_rate": 1.633737016541721e-05, + "loss": 0.8235, + "step": 1916 + }, + { + "epoch": 0.3, + "learning_rate": 1.6333405584603775e-05, + "loss": 0.8372, + "step": 1917 + }, + { + "epoch": 0.3, + "learning_rate": 1.6329439340858672e-05, + "loss": 0.834, + "step": 1918 + }, + { + "epoch": 0.3, + "learning_rate": 1.6325471435223298e-05, + "loss": 0.7275, + "step": 1919 + }, + { + "epoch": 0.3, + "learning_rate": 1.6321501868739483e-05, + "loss": 0.7347, + "step": 1920 + }, + { + "epoch": 0.3, + "learning_rate": 1.6317530642449503e-05, + "loss": 0.7228, + "step": 1921 + }, + { + "epoch": 0.3, + "learning_rate": 1.6313557757396056e-05, + "loss": 0.8071, + "step": 1922 + }, + { + "epoch": 0.3, + "learning_rate": 1.630958321462229e-05, + "loss": 0.7572, + "step": 1923 + }, + { + "epoch": 0.3, + "learning_rate": 1.6305607015171777e-05, + "loss": 0.7914, + "step": 1924 + }, + { + "epoch": 0.3, + "learning_rate": 1.6301629160088535e-05, + "loss": 0.725, + "step": 1925 + }, + { + "epoch": 0.3, + "learning_rate": 1.6297649650417002e-05, + "loss": 0.7852, + "step": 1926 + }, + { + "epoch": 0.3, + "learning_rate": 1.6293668487202064e-05, + "loss": 0.8137, + "step": 1927 + }, + { + "epoch": 0.31, + "learning_rate": 1.628968567148903e-05, + "loss": 0.748, + "step": 1928 + }, + { + "epoch": 0.31, + "learning_rate": 1.6285701204323654e-05, + "loss": 0.7655, + "step": 1929 + }, + { + "epoch": 0.31, + "learning_rate": 1.6281715086752116e-05, + "loss": 0.7339, + "step": 1930 + }, + { + "epoch": 0.31, + "learning_rate": 1.6277727319821032e-05, + "loss": 0.7572, + "step": 1931 + }, + { + "epoch": 0.31, + "learning_rate": 1.6273737904577453e-05, + "loss": 0.7664, + "step": 1932 + }, + { + "epoch": 0.31, + "learning_rate": 1.626974684206886e-05, + "loss": 0.7806, + "step": 1933 + }, + { + "epoch": 0.31, + "learning_rate": 1.6265754133343162e-05, + "loss": 0.7397, + "step": 1934 + }, + { + "epoch": 0.31, + "learning_rate": 1.626175977944871e-05, + "loss": 0.774, + "step": 1935 + }, + { + "epoch": 0.31, + "learning_rate": 1.6257763781434278e-05, + "loss": 0.7361, + "step": 1936 + }, + { + "epoch": 0.31, + "learning_rate": 1.6253766140349084e-05, + "loss": 0.719, + "step": 1937 + }, + { + "epoch": 0.31, + "learning_rate": 1.6249766857242762e-05, + "loss": 0.8257, + "step": 1938 + }, + { + "epoch": 0.31, + "learning_rate": 1.6245765933165384e-05, + "loss": 0.3234, + "step": 1939 + }, + { + "epoch": 0.31, + "learning_rate": 1.6241763369167458e-05, + "loss": 0.7834, + "step": 1940 + }, + { + "epoch": 0.31, + "learning_rate": 1.6237759166299913e-05, + "loss": 0.8044, + "step": 1941 + }, + { + "epoch": 0.31, + "learning_rate": 1.623375332561412e-05, + "loss": 0.7494, + "step": 1942 + }, + { + "epoch": 0.31, + "learning_rate": 1.6229745848161864e-05, + "loss": 0.7284, + "step": 1943 + }, + { + "epoch": 0.31, + "learning_rate": 1.622573673499538e-05, + "loss": 0.6952, + "step": 1944 + }, + { + "epoch": 0.31, + "learning_rate": 1.622172598716731e-05, + "loss": 0.3092, + "step": 1945 + }, + { + "epoch": 0.31, + "learning_rate": 1.6217713605730745e-05, + "loss": 0.8435, + "step": 1946 + }, + { + "epoch": 0.31, + "learning_rate": 1.6213699591739193e-05, + "loss": 0.7173, + "step": 1947 + }, + { + "epoch": 0.31, + "learning_rate": 1.6209683946246592e-05, + "loss": 0.8606, + "step": 1948 + }, + { + "epoch": 0.31, + "learning_rate": 1.6205666670307316e-05, + "loss": 0.7446, + "step": 1949 + }, + { + "epoch": 0.31, + "learning_rate": 1.620164776497616e-05, + "loss": 0.8, + "step": 1950 + }, + { + "epoch": 0.31, + "learning_rate": 1.6197627231308346e-05, + "loss": 0.7266, + "step": 1951 + }, + { + "epoch": 0.31, + "learning_rate": 1.6193605070359528e-05, + "loss": 0.7742, + "step": 1952 + }, + { + "epoch": 0.31, + "learning_rate": 1.6189581283185784e-05, + "loss": 0.7473, + "step": 1953 + }, + { + "epoch": 0.31, + "learning_rate": 1.6185555870843623e-05, + "loss": 0.7845, + "step": 1954 + }, + { + "epoch": 0.31, + "learning_rate": 1.618152883438998e-05, + "loss": 0.775, + "step": 1955 + }, + { + "epoch": 0.31, + "learning_rate": 1.6177500174882202e-05, + "loss": 0.7714, + "step": 1956 + }, + { + "epoch": 0.31, + "learning_rate": 1.617346989337809e-05, + "loss": 0.2966, + "step": 1957 + }, + { + "epoch": 0.31, + "learning_rate": 1.6169437990935848e-05, + "loss": 0.7566, + "step": 1958 + }, + { + "epoch": 0.31, + "learning_rate": 1.6165404468614117e-05, + "loss": 0.7874, + "step": 1959 + }, + { + "epoch": 0.31, + "learning_rate": 1.6161369327471953e-05, + "loss": 0.6752, + "step": 1960 + }, + { + "epoch": 0.31, + "learning_rate": 1.615733256856885e-05, + "loss": 0.7906, + "step": 1961 + }, + { + "epoch": 0.31, + "learning_rate": 1.6153294192964714e-05, + "loss": 0.7732, + "step": 1962 + }, + { + "epoch": 0.31, + "learning_rate": 1.614925420171989e-05, + "loss": 0.842, + "step": 1963 + }, + { + "epoch": 0.31, + "learning_rate": 1.614521259589513e-05, + "loss": 0.766, + "step": 1964 + }, + { + "epoch": 0.31, + "learning_rate": 1.6141169376551623e-05, + "loss": 0.7338, + "step": 1965 + }, + { + "epoch": 0.31, + "learning_rate": 1.613712454475098e-05, + "loss": 0.7684, + "step": 1966 + }, + { + "epoch": 0.31, + "learning_rate": 1.6133078101555225e-05, + "loss": 0.7761, + "step": 1967 + }, + { + "epoch": 0.31, + "learning_rate": 1.6129030048026825e-05, + "loss": 0.8103, + "step": 1968 + }, + { + "epoch": 0.31, + "learning_rate": 1.612498038522865e-05, + "loss": 0.7507, + "step": 1969 + }, + { + "epoch": 0.31, + "learning_rate": 1.6120929114224e-05, + "loss": 0.7363, + "step": 1970 + }, + { + "epoch": 0.31, + "learning_rate": 1.6116876236076603e-05, + "loss": 0.7832, + "step": 1971 + }, + { + "epoch": 0.31, + "learning_rate": 1.6112821751850595e-05, + "loss": 0.7651, + "step": 1972 + }, + { + "epoch": 0.31, + "learning_rate": 1.610876566261055e-05, + "loss": 0.7274, + "step": 1973 + }, + { + "epoch": 0.31, + "learning_rate": 1.6104707969421457e-05, + "loss": 0.7246, + "step": 1974 + }, + { + "epoch": 0.31, + "learning_rate": 1.6100648673348714e-05, + "loss": 0.3281, + "step": 1975 + }, + { + "epoch": 0.31, + "learning_rate": 1.609658777545816e-05, + "loss": 0.777, + "step": 1976 + }, + { + "epoch": 0.31, + "learning_rate": 1.6092525276816043e-05, + "loss": 0.7407, + "step": 1977 + }, + { + "epoch": 0.31, + "learning_rate": 1.6088461178489036e-05, + "loss": 0.7646, + "step": 1978 + }, + { + "epoch": 0.31, + "learning_rate": 1.6084395481544222e-05, + "loss": 0.7986, + "step": 1979 + }, + { + "epoch": 0.31, + "learning_rate": 1.6080328187049123e-05, + "loss": 0.7522, + "step": 1980 + }, + { + "epoch": 0.31, + "learning_rate": 1.6076259296071658e-05, + "loss": 0.8083, + "step": 1981 + }, + { + "epoch": 0.31, + "learning_rate": 1.607218880968018e-05, + "loss": 0.8204, + "step": 1982 + }, + { + "epoch": 0.31, + "learning_rate": 1.606811672894346e-05, + "loss": 0.2963, + "step": 1983 + }, + { + "epoch": 0.31, + "learning_rate": 1.606404305493068e-05, + "loss": 0.7614, + "step": 1984 + }, + { + "epoch": 0.31, + "learning_rate": 1.6059967788711448e-05, + "loss": 0.7024, + "step": 1985 + }, + { + "epoch": 0.31, + "learning_rate": 1.6055890931355788e-05, + "loss": 0.7954, + "step": 1986 + }, + { + "epoch": 0.31, + "learning_rate": 1.6051812483934135e-05, + "loss": 0.714, + "step": 1987 + }, + { + "epoch": 0.31, + "learning_rate": 1.6047732447517352e-05, + "loss": 0.8088, + "step": 1988 + }, + { + "epoch": 0.31, + "learning_rate": 1.604365082317671e-05, + "loss": 0.7312, + "step": 1989 + }, + { + "epoch": 0.31, + "learning_rate": 1.6039567611983908e-05, + "loss": 0.765, + "step": 1990 + }, + { + "epoch": 0.31, + "learning_rate": 1.6035482815011053e-05, + "loss": 0.7471, + "step": 1991 + }, + { + "epoch": 0.32, + "learning_rate": 1.6031396433330664e-05, + "loss": 0.7584, + "step": 1992 + }, + { + "epoch": 0.32, + "learning_rate": 1.6027308468015692e-05, + "loss": 0.8037, + "step": 1993 + }, + { + "epoch": 0.32, + "learning_rate": 1.602321892013949e-05, + "loss": 0.8013, + "step": 1994 + }, + { + "epoch": 0.32, + "learning_rate": 1.6019127790775825e-05, + "loss": 0.771, + "step": 1995 + }, + { + "epoch": 0.32, + "learning_rate": 1.6015035080998895e-05, + "loss": 0.7659, + "step": 1996 + }, + { + "epoch": 0.32, + "learning_rate": 1.6010940791883295e-05, + "loss": 0.7794, + "step": 1997 + }, + { + "epoch": 0.32, + "learning_rate": 1.600684492450405e-05, + "loss": 0.8062, + "step": 1998 + }, + { + "epoch": 0.32, + "learning_rate": 1.6002747479936586e-05, + "loss": 0.7643, + "step": 1999 + }, + { + "epoch": 0.32, + "learning_rate": 1.5998648459256752e-05, + "loss": 0.8379, + "step": 2000 + }, + { + "epoch": 0.32, + "learning_rate": 1.599454786354081e-05, + "loss": 0.7791, + "step": 2001 + }, + { + "epoch": 0.32, + "learning_rate": 1.5990445693865428e-05, + "loss": 0.7812, + "step": 2002 + }, + { + "epoch": 0.32, + "learning_rate": 1.5986341951307696e-05, + "loss": 0.8258, + "step": 2003 + }, + { + "epoch": 0.32, + "learning_rate": 1.5982236636945113e-05, + "loss": 0.7834, + "step": 2004 + }, + { + "epoch": 0.32, + "learning_rate": 1.5978129751855593e-05, + "loss": 0.7595, + "step": 2005 + }, + { + "epoch": 0.32, + "learning_rate": 1.597402129711746e-05, + "loss": 0.8052, + "step": 2006 + }, + { + "epoch": 0.32, + "learning_rate": 1.5969911273809453e-05, + "loss": 0.7938, + "step": 2007 + }, + { + "epoch": 0.32, + "learning_rate": 1.596579968301072e-05, + "loss": 0.7725, + "step": 2008 + }, + { + "epoch": 0.32, + "learning_rate": 1.596168652580082e-05, + "loss": 0.7679, + "step": 2009 + }, + { + "epoch": 0.32, + "learning_rate": 1.5957571803259723e-05, + "loss": 0.8047, + "step": 2010 + }, + { + "epoch": 0.32, + "learning_rate": 1.595345551646782e-05, + "loss": 0.7949, + "step": 2011 + }, + { + "epoch": 0.32, + "learning_rate": 1.594933766650589e-05, + "loss": 0.8005, + "step": 2012 + }, + { + "epoch": 0.32, + "learning_rate": 1.5945218254455152e-05, + "loss": 0.793, + "step": 2013 + }, + { + "epoch": 0.32, + "learning_rate": 1.594109728139721e-05, + "loss": 0.8099, + "step": 2014 + }, + { + "epoch": 0.32, + "learning_rate": 1.59369747484141e-05, + "loss": 0.7717, + "step": 2015 + }, + { + "epoch": 0.32, + "learning_rate": 1.5932850656588242e-05, + "loss": 0.7271, + "step": 2016 + }, + { + "epoch": 0.32, + "learning_rate": 1.5928725007002483e-05, + "loss": 0.7733, + "step": 2017 + }, + { + "epoch": 0.32, + "learning_rate": 1.5924597800740074e-05, + "loss": 0.7893, + "step": 2018 + }, + { + "epoch": 0.32, + "learning_rate": 1.5920469038884684e-05, + "loss": 0.7581, + "step": 2019 + }, + { + "epoch": 0.32, + "learning_rate": 1.5916338722520374e-05, + "loss": 0.8174, + "step": 2020 + }, + { + "epoch": 0.32, + "learning_rate": 1.5912206852731622e-05, + "loss": 0.3077, + "step": 2021 + }, + { + "epoch": 0.32, + "learning_rate": 1.590807343060331e-05, + "loss": 0.7753, + "step": 2022 + }, + { + "epoch": 0.32, + "learning_rate": 1.590393845722074e-05, + "loss": 0.8169, + "step": 2023 + }, + { + "epoch": 0.32, + "learning_rate": 1.5899801933669604e-05, + "loss": 0.7854, + "step": 2024 + }, + { + "epoch": 0.32, + "learning_rate": 1.589566386103601e-05, + "loss": 0.7539, + "step": 2025 + }, + { + "epoch": 0.32, + "learning_rate": 1.589152424040648e-05, + "loss": 0.7944, + "step": 2026 + }, + { + "epoch": 0.32, + "learning_rate": 1.5887383072867923e-05, + "loss": 0.803, + "step": 2027 + }, + { + "epoch": 0.32, + "learning_rate": 1.588324035950767e-05, + "loss": 0.7599, + "step": 2028 + }, + { + "epoch": 0.32, + "learning_rate": 1.5879096101413453e-05, + "loss": 0.7585, + "step": 2029 + }, + { + "epoch": 0.32, + "learning_rate": 1.5874950299673412e-05, + "loss": 0.7935, + "step": 2030 + }, + { + "epoch": 0.32, + "learning_rate": 1.5870802955376087e-05, + "loss": 0.322, + "step": 2031 + }, + { + "epoch": 0.32, + "learning_rate": 1.5866654069610424e-05, + "loss": 0.7952, + "step": 2032 + }, + { + "epoch": 0.32, + "learning_rate": 1.5862503643465784e-05, + "loss": 0.7211, + "step": 2033 + }, + { + "epoch": 0.32, + "learning_rate": 1.5858351678031914e-05, + "loss": 0.7378, + "step": 2034 + }, + { + "epoch": 0.32, + "learning_rate": 1.5854198174398984e-05, + "loss": 0.3147, + "step": 2035 + }, + { + "epoch": 0.32, + "learning_rate": 1.5850043133657554e-05, + "loss": 0.8137, + "step": 2036 + }, + { + "epoch": 0.32, + "learning_rate": 1.5845886556898595e-05, + "loss": 0.804, + "step": 2037 + }, + { + "epoch": 0.32, + "learning_rate": 1.584172844521348e-05, + "loss": 0.741, + "step": 2038 + }, + { + "epoch": 0.32, + "learning_rate": 1.5837568799693988e-05, + "loss": 0.8076, + "step": 2039 + }, + { + "epoch": 0.32, + "learning_rate": 1.5833407621432287e-05, + "loss": 0.8259, + "step": 2040 + }, + { + "epoch": 0.32, + "learning_rate": 1.5829244911520965e-05, + "loss": 0.7205, + "step": 2041 + }, + { + "epoch": 0.32, + "learning_rate": 1.5825080671053e-05, + "loss": 0.7634, + "step": 2042 + }, + { + "epoch": 0.32, + "learning_rate": 1.5820914901121782e-05, + "loss": 0.769, + "step": 2043 + }, + { + "epoch": 0.32, + "learning_rate": 1.5816747602821093e-05, + "loss": 0.6456, + "step": 2044 + }, + { + "epoch": 0.32, + "learning_rate": 1.5812578777245125e-05, + "loss": 0.7452, + "step": 2045 + }, + { + "epoch": 0.32, + "learning_rate": 1.580840842548846e-05, + "loss": 0.7883, + "step": 2046 + }, + { + "epoch": 0.32, + "learning_rate": 1.5804236548646088e-05, + "loss": 0.7487, + "step": 2047 + }, + { + "epoch": 0.32, + "learning_rate": 1.5800063147813402e-05, + "loss": 0.8037, + "step": 2048 + }, + { + "epoch": 0.32, + "learning_rate": 1.579588822408619e-05, + "loss": 0.7573, + "step": 2049 + }, + { + "epoch": 0.32, + "learning_rate": 1.5791711778560644e-05, + "loss": 0.7661, + "step": 2050 + }, + { + "epoch": 0.32, + "learning_rate": 1.578753381233335e-05, + "loss": 0.7617, + "step": 2051 + }, + { + "epoch": 0.32, + "learning_rate": 1.5783354326501294e-05, + "loss": 0.6851, + "step": 2052 + }, + { + "epoch": 0.32, + "learning_rate": 1.577917332216187e-05, + "loss": 0.7275, + "step": 2053 + }, + { + "epoch": 0.32, + "learning_rate": 1.5774990800412857e-05, + "loss": 0.7502, + "step": 2054 + }, + { + "epoch": 0.33, + "learning_rate": 1.5770806762352446e-05, + "loss": 0.8228, + "step": 2055 + }, + { + "epoch": 0.33, + "learning_rate": 1.5766621209079217e-05, + "loss": 0.7886, + "step": 2056 + }, + { + "epoch": 0.33, + "learning_rate": 1.576243414169215e-05, + "loss": 0.8135, + "step": 2057 + }, + { + "epoch": 0.33, + "learning_rate": 1.5758245561290625e-05, + "loss": 0.7484, + "step": 2058 + }, + { + "epoch": 0.33, + "learning_rate": 1.5754055468974413e-05, + "loss": 0.811, + "step": 2059 + }, + { + "epoch": 0.33, + "learning_rate": 1.5749863865843687e-05, + "loss": 0.7917, + "step": 2060 + }, + { + "epoch": 0.33, + "learning_rate": 1.574567075299902e-05, + "loss": 0.8176, + "step": 2061 + }, + { + "epoch": 0.33, + "learning_rate": 1.5741476131541377e-05, + "loss": 0.7976, + "step": 2062 + }, + { + "epoch": 0.33, + "learning_rate": 1.5737280002572115e-05, + "loss": 0.7971, + "step": 2063 + }, + { + "epoch": 0.33, + "learning_rate": 1.573308236719299e-05, + "loss": 0.7566, + "step": 2064 + }, + { + "epoch": 0.33, + "learning_rate": 1.572888322650617e-05, + "loss": 0.7981, + "step": 2065 + }, + { + "epoch": 0.33, + "learning_rate": 1.5724682581614183e-05, + "loss": 0.7451, + "step": 2066 + }, + { + "epoch": 0.33, + "learning_rate": 1.5720480433619983e-05, + "loss": 0.7744, + "step": 2067 + }, + { + "epoch": 0.33, + "learning_rate": 1.571627678362691e-05, + "loss": 0.7476, + "step": 2068 + }, + { + "epoch": 0.33, + "learning_rate": 1.5712071632738683e-05, + "loss": 0.7268, + "step": 2069 + }, + { + "epoch": 0.33, + "learning_rate": 1.5707864982059442e-05, + "loss": 0.7473, + "step": 2070 + }, + { + "epoch": 0.33, + "learning_rate": 1.57036568326937e-05, + "loss": 0.7798, + "step": 2071 + }, + { + "epoch": 0.33, + "learning_rate": 1.5699447185746373e-05, + "loss": 0.7981, + "step": 2072 + }, + { + "epoch": 0.33, + "learning_rate": 1.5695236042322767e-05, + "loss": 0.8457, + "step": 2073 + }, + { + "epoch": 0.33, + "learning_rate": 1.569102340352858e-05, + "loss": 0.7874, + "step": 2074 + }, + { + "epoch": 0.33, + "learning_rate": 1.5686809270469904e-05, + "loss": 0.7882, + "step": 2075 + }, + { + "epoch": 0.33, + "learning_rate": 1.5682593644253228e-05, + "loss": 0.7645, + "step": 2076 + }, + { + "epoch": 0.33, + "learning_rate": 1.5678376525985424e-05, + "loss": 0.7051, + "step": 2077 + }, + { + "epoch": 0.33, + "learning_rate": 1.567415791677376e-05, + "loss": 0.7771, + "step": 2078 + }, + { + "epoch": 0.33, + "learning_rate": 1.56699378177259e-05, + "loss": 0.7439, + "step": 2079 + }, + { + "epoch": 0.33, + "learning_rate": 1.566571622994989e-05, + "loss": 0.8193, + "step": 2080 + }, + { + "epoch": 0.33, + "learning_rate": 1.566149315455418e-05, + "loss": 0.74, + "step": 2081 + }, + { + "epoch": 0.33, + "learning_rate": 1.5657268592647594e-05, + "loss": 0.8051, + "step": 2082 + }, + { + "epoch": 0.33, + "learning_rate": 1.5653042545339357e-05, + "loss": 0.7681, + "step": 2083 + }, + { + "epoch": 0.33, + "learning_rate": 1.5648815013739084e-05, + "loss": 0.733, + "step": 2084 + }, + { + "epoch": 0.33, + "learning_rate": 1.5644585998956775e-05, + "loss": 0.7339, + "step": 2085 + }, + { + "epoch": 0.33, + "learning_rate": 1.5640355502102826e-05, + "loss": 0.7437, + "step": 2086 + }, + { + "epoch": 0.33, + "learning_rate": 1.563612352428801e-05, + "loss": 0.7852, + "step": 2087 + }, + { + "epoch": 0.33, + "learning_rate": 1.5631890066623506e-05, + "loss": 0.7568, + "step": 2088 + }, + { + "epoch": 0.33, + "learning_rate": 1.5627655130220863e-05, + "loss": 0.8474, + "step": 2089 + }, + { + "epoch": 0.33, + "learning_rate": 1.5623418716192042e-05, + "loss": 0.7573, + "step": 2090 + }, + { + "epoch": 0.33, + "learning_rate": 1.5619180825649363e-05, + "loss": 0.6454, + "step": 2091 + }, + { + "epoch": 0.33, + "learning_rate": 1.561494145970556e-05, + "loss": 0.2855, + "step": 2092 + }, + { + "epoch": 0.33, + "learning_rate": 1.5610700619473734e-05, + "loss": 0.3084, + "step": 2093 + }, + { + "epoch": 0.33, + "learning_rate": 1.5606458306067382e-05, + "loss": 0.7769, + "step": 2094 + }, + { + "epoch": 0.33, + "learning_rate": 1.5602214520600398e-05, + "loss": 0.8042, + "step": 2095 + }, + { + "epoch": 0.33, + "learning_rate": 1.559796926418704e-05, + "loss": 0.3, + "step": 2096 + }, + { + "epoch": 0.33, + "learning_rate": 1.559372253794197e-05, + "loss": 0.3135, + "step": 2097 + }, + { + "epoch": 0.33, + "learning_rate": 1.5589474342980235e-05, + "loss": 0.6705, + "step": 2098 + }, + { + "epoch": 0.33, + "learning_rate": 1.558522468041725e-05, + "loss": 0.7651, + "step": 2099 + }, + { + "epoch": 0.33, + "learning_rate": 1.558097355136884e-05, + "loss": 0.7668, + "step": 2100 + }, + { + "epoch": 0.33, + "learning_rate": 1.55767209569512e-05, + "loss": 0.8335, + "step": 2101 + }, + { + "epoch": 0.33, + "learning_rate": 1.5572466898280915e-05, + "loss": 0.7966, + "step": 2102 + }, + { + "epoch": 0.33, + "learning_rate": 1.5568211376474952e-05, + "loss": 0.8096, + "step": 2103 + }, + { + "epoch": 0.33, + "learning_rate": 1.5563954392650657e-05, + "loss": 0.7595, + "step": 2104 + }, + { + "epoch": 0.33, + "learning_rate": 1.5559695947925768e-05, + "loss": 0.7456, + "step": 2105 + }, + { + "epoch": 0.33, + "learning_rate": 1.555543604341841e-05, + "loss": 0.7384, + "step": 2106 + }, + { + "epoch": 0.33, + "learning_rate": 1.555117468024708e-05, + "loss": 0.7924, + "step": 2107 + }, + { + "epoch": 0.33, + "learning_rate": 1.5546911859530666e-05, + "loss": 0.7308, + "step": 2108 + }, + { + "epoch": 0.33, + "learning_rate": 1.5542647582388438e-05, + "loss": 0.7113, + "step": 2109 + }, + { + "epoch": 0.33, + "learning_rate": 1.553838184994004e-05, + "loss": 0.8018, + "step": 2110 + }, + { + "epoch": 0.33, + "learning_rate": 1.5534114663305513e-05, + "loss": 0.7913, + "step": 2111 + }, + { + "epoch": 0.33, + "learning_rate": 1.5529846023605264e-05, + "loss": 0.8215, + "step": 2112 + }, + { + "epoch": 0.33, + "learning_rate": 1.552557593196009e-05, + "loss": 0.6633, + "step": 2113 + }, + { + "epoch": 0.33, + "learning_rate": 1.5521304389491178e-05, + "loss": 0.7793, + "step": 2114 + }, + { + "epoch": 0.33, + "learning_rate": 1.551703139732007e-05, + "loss": 0.7617, + "step": 2115 + }, + { + "epoch": 0.33, + "learning_rate": 1.5512756956568722e-05, + "loss": 0.7111, + "step": 2116 + }, + { + "epoch": 0.33, + "learning_rate": 1.5508481068359442e-05, + "loss": 0.694, + "step": 2117 + }, + { + "epoch": 0.34, + "learning_rate": 1.5504203733814933e-05, + "loss": 0.3134, + "step": 2118 + }, + { + "epoch": 0.34, + "learning_rate": 1.5499924954058273e-05, + "loss": 0.8474, + "step": 2119 + }, + { + "epoch": 0.34, + "learning_rate": 1.549564473021292e-05, + "loss": 0.7277, + "step": 2120 + }, + { + "epoch": 0.34, + "learning_rate": 1.5491363063402714e-05, + "loss": 0.7441, + "step": 2121 + }, + { + "epoch": 0.34, + "learning_rate": 1.548707995475187e-05, + "loss": 0.825, + "step": 2122 + }, + { + "epoch": 0.34, + "learning_rate": 1.548279540538498e-05, + "loss": 0.3003, + "step": 2123 + }, + { + "epoch": 0.34, + "learning_rate": 1.5478509416427027e-05, + "loss": 0.8049, + "step": 2124 + }, + { + "epoch": 0.34, + "learning_rate": 1.547422198900335e-05, + "loss": 0.7979, + "step": 2125 + }, + { + "epoch": 0.34, + "learning_rate": 1.5469933124239685e-05, + "loss": 0.7712, + "step": 2126 + }, + { + "epoch": 0.34, + "learning_rate": 1.546564282326214e-05, + "loss": 0.7766, + "step": 2127 + }, + { + "epoch": 0.34, + "learning_rate": 1.5461351087197197e-05, + "loss": 0.8293, + "step": 2128 + }, + { + "epoch": 0.34, + "learning_rate": 1.5457057917171714e-05, + "loss": 0.771, + "step": 2129 + }, + { + "epoch": 0.34, + "learning_rate": 1.5452763314312925e-05, + "loss": 0.8121, + "step": 2130 + }, + { + "epoch": 0.34, + "learning_rate": 1.5448467279748453e-05, + "loss": 0.7943, + "step": 2131 + }, + { + "epoch": 0.34, + "learning_rate": 1.544416981460628e-05, + "loss": 0.7666, + "step": 2132 + }, + { + "epoch": 0.34, + "learning_rate": 1.5439870920014775e-05, + "loss": 0.3289, + "step": 2133 + }, + { + "epoch": 0.34, + "learning_rate": 1.5435570597102672e-05, + "loss": 0.7893, + "step": 2134 + }, + { + "epoch": 0.34, + "learning_rate": 1.543126884699909e-05, + "loss": 0.8145, + "step": 2135 + }, + { + "epoch": 0.34, + "learning_rate": 1.5426965670833517e-05, + "loss": 0.7745, + "step": 2136 + }, + { + "epoch": 0.34, + "learning_rate": 1.5422661069735817e-05, + "loss": 0.743, + "step": 2137 + }, + { + "epoch": 0.34, + "learning_rate": 1.5418355044836234e-05, + "loss": 0.76, + "step": 2138 + }, + { + "epoch": 0.34, + "learning_rate": 1.5414047597265374e-05, + "loss": 0.8115, + "step": 2139 + }, + { + "epoch": 0.34, + "learning_rate": 1.540973872815422e-05, + "loss": 0.8157, + "step": 2140 + }, + { + "epoch": 0.34, + "learning_rate": 1.5405428438634138e-05, + "loss": 0.7212, + "step": 2141 + }, + { + "epoch": 0.34, + "learning_rate": 1.5401116729836857e-05, + "loss": 0.7605, + "step": 2142 + }, + { + "epoch": 0.34, + "learning_rate": 1.5396803602894484e-05, + "loss": 0.7833, + "step": 2143 + }, + { + "epoch": 0.34, + "learning_rate": 1.5392489058939485e-05, + "loss": 0.8049, + "step": 2144 + }, + { + "epoch": 0.34, + "learning_rate": 1.5388173099104727e-05, + "loss": 0.7416, + "step": 2145 + }, + { + "epoch": 0.34, + "learning_rate": 1.5383855724523415e-05, + "loss": 0.7784, + "step": 2146 + }, + { + "epoch": 0.34, + "learning_rate": 1.537953693632915e-05, + "loss": 0.7725, + "step": 2147 + }, + { + "epoch": 0.34, + "learning_rate": 1.5375216735655892e-05, + "loss": 0.772, + "step": 2148 + }, + { + "epoch": 0.34, + "learning_rate": 1.5370895123637972e-05, + "loss": 0.7378, + "step": 2149 + }, + { + "epoch": 0.34, + "learning_rate": 1.5366572101410104e-05, + "loss": 0.7451, + "step": 2150 + }, + { + "epoch": 0.34, + "learning_rate": 1.5362247670107353e-05, + "loss": 0.822, + "step": 2151 + }, + { + "epoch": 0.34, + "learning_rate": 1.535792183086517e-05, + "loss": 0.6847, + "step": 2152 + }, + { + "epoch": 0.34, + "learning_rate": 1.535359458481937e-05, + "loss": 0.7733, + "step": 2153 + }, + { + "epoch": 0.34, + "learning_rate": 1.534926593310613e-05, + "loss": 0.772, + "step": 2154 + }, + { + "epoch": 0.34, + "learning_rate": 1.5344935876862014e-05, + "loss": 0.8237, + "step": 2155 + }, + { + "epoch": 0.34, + "learning_rate": 1.5340604417223935e-05, + "loss": 0.7415, + "step": 2156 + }, + { + "epoch": 0.34, + "learning_rate": 1.5336271555329188e-05, + "loss": 0.7783, + "step": 2157 + }, + { + "epoch": 0.34, + "learning_rate": 1.533193729231543e-05, + "loss": 0.3184, + "step": 2158 + }, + { + "epoch": 0.34, + "learning_rate": 1.5327601629320687e-05, + "loss": 0.7213, + "step": 2159 + }, + { + "epoch": 0.34, + "learning_rate": 1.5323264567483354e-05, + "loss": 0.7466, + "step": 2160 + }, + { + "epoch": 0.34, + "learning_rate": 1.531892610794219e-05, + "loss": 0.775, + "step": 2161 + }, + { + "epoch": 0.34, + "learning_rate": 1.531458625183633e-05, + "loss": 0.7687, + "step": 2162 + }, + { + "epoch": 0.34, + "learning_rate": 1.5310245000305265e-05, + "loss": 0.8042, + "step": 2163 + }, + { + "epoch": 0.34, + "learning_rate": 1.530590235448885e-05, + "loss": 0.7008, + "step": 2164 + }, + { + "epoch": 0.34, + "learning_rate": 1.5301558315527323e-05, + "loss": 0.7759, + "step": 2165 + }, + { + "epoch": 0.34, + "learning_rate": 1.529721288456127e-05, + "loss": 0.7756, + "step": 2166 + }, + { + "epoch": 0.34, + "learning_rate": 1.5292866062731654e-05, + "loss": 0.7657, + "step": 2167 + }, + { + "epoch": 0.34, + "learning_rate": 1.52885178511798e-05, + "loss": 0.7291, + "step": 2168 + }, + { + "epoch": 0.34, + "learning_rate": 1.528416825104739e-05, + "loss": 0.7557, + "step": 2169 + }, + { + "epoch": 0.34, + "learning_rate": 1.5279817263476485e-05, + "loss": 0.834, + "step": 2170 + }, + { + "epoch": 0.34, + "learning_rate": 1.5275464889609497e-05, + "loss": 0.7866, + "step": 2171 + }, + { + "epoch": 0.34, + "learning_rate": 1.527111113058921e-05, + "loss": 0.8022, + "step": 2172 + }, + { + "epoch": 0.34, + "learning_rate": 1.5266755987558774e-05, + "loss": 0.8213, + "step": 2173 + }, + { + "epoch": 0.34, + "learning_rate": 1.526239946166169e-05, + "loss": 0.769, + "step": 2174 + }, + { + "epoch": 0.34, + "learning_rate": 1.5258041554041834e-05, + "loss": 0.7542, + "step": 2175 + }, + { + "epoch": 0.34, + "learning_rate": 1.5253682265843442e-05, + "loss": 0.7249, + "step": 2176 + }, + { + "epoch": 0.34, + "learning_rate": 1.5249321598211109e-05, + "loss": 0.8229, + "step": 2177 + }, + { + "epoch": 0.34, + "learning_rate": 1.5244959552289792e-05, + "loss": 0.7754, + "step": 2178 + }, + { + "epoch": 0.34, + "learning_rate": 1.5240596129224815e-05, + "loss": 0.7568, + "step": 2179 + }, + { + "epoch": 0.34, + "learning_rate": 1.5236231330161869e-05, + "loss": 0.7708, + "step": 2180 + }, + { + "epoch": 0.35, + "learning_rate": 1.523186515624698e-05, + "loss": 0.7169, + "step": 2181 + }, + { + "epoch": 0.35, + "learning_rate": 1.5227497608626569e-05, + "loss": 0.7705, + "step": 2182 + }, + { + "epoch": 0.35, + "learning_rate": 1.5223128688447397e-05, + "loss": 0.7908, + "step": 2183 + }, + { + "epoch": 0.35, + "learning_rate": 1.5218758396856585e-05, + "loss": 0.7755, + "step": 2184 + }, + { + "epoch": 0.35, + "learning_rate": 1.5214386735001627e-05, + "loss": 0.7577, + "step": 2185 + }, + { + "epoch": 0.35, + "learning_rate": 1.521001370403037e-05, + "loss": 0.7748, + "step": 2186 + }, + { + "epoch": 0.35, + "learning_rate": 1.5205639305091007e-05, + "loss": 0.792, + "step": 2187 + }, + { + "epoch": 0.35, + "learning_rate": 1.5201263539332117e-05, + "loss": 0.8088, + "step": 2188 + }, + { + "epoch": 0.35, + "learning_rate": 1.5196886407902617e-05, + "loss": 0.2844, + "step": 2189 + }, + { + "epoch": 0.35, + "learning_rate": 1.519250791195179e-05, + "loss": 0.7732, + "step": 2190 + }, + { + "epoch": 0.35, + "learning_rate": 1.5188128052629277e-05, + "loss": 0.7955, + "step": 2191 + }, + { + "epoch": 0.35, + "learning_rate": 1.5183746831085076e-05, + "loss": 0.7832, + "step": 2192 + }, + { + "epoch": 0.35, + "learning_rate": 1.5179364248469543e-05, + "loss": 0.7876, + "step": 2193 + }, + { + "epoch": 0.35, + "learning_rate": 1.517498030593339e-05, + "loss": 0.7683, + "step": 2194 + }, + { + "epoch": 0.35, + "learning_rate": 1.5170595004627693e-05, + "loss": 0.8413, + "step": 2195 + }, + { + "epoch": 0.35, + "learning_rate": 1.5166208345703872e-05, + "loss": 0.7546, + "step": 2196 + }, + { + "epoch": 0.35, + "learning_rate": 1.5161820330313717e-05, + "loss": 0.7622, + "step": 2197 + }, + { + "epoch": 0.35, + "learning_rate": 1.5157430959609367e-05, + "loss": 0.738, + "step": 2198 + }, + { + "epoch": 0.35, + "learning_rate": 1.5153040234743314e-05, + "loss": 0.7656, + "step": 2199 + }, + { + "epoch": 0.35, + "learning_rate": 1.5148648156868414e-05, + "loss": 0.7028, + "step": 2200 + }, + { + "epoch": 0.35, + "learning_rate": 1.5144254727137865e-05, + "loss": 0.7269, + "step": 2201 + }, + { + "epoch": 0.35, + "learning_rate": 1.5139859946705242e-05, + "loss": 0.8173, + "step": 2202 + }, + { + "epoch": 0.35, + "learning_rate": 1.5135463816724451e-05, + "loss": 0.7781, + "step": 2203 + }, + { + "epoch": 0.35, + "learning_rate": 1.5131066338349769e-05, + "loss": 0.7373, + "step": 2204 + }, + { + "epoch": 0.35, + "learning_rate": 1.5126667512735816e-05, + "loss": 0.7572, + "step": 2205 + }, + { + "epoch": 0.35, + "learning_rate": 1.5122267341037571e-05, + "loss": 0.7822, + "step": 2206 + }, + { + "epoch": 0.35, + "learning_rate": 1.5117865824410367e-05, + "loss": 0.7537, + "step": 2207 + }, + { + "epoch": 0.35, + "learning_rate": 1.511346296400989e-05, + "loss": 0.8263, + "step": 2208 + }, + { + "epoch": 0.35, + "learning_rate": 1.5109058760992173e-05, + "loss": 0.7632, + "step": 2209 + }, + { + "epoch": 0.35, + "learning_rate": 1.5104653216513615e-05, + "loss": 0.7625, + "step": 2210 + }, + { + "epoch": 0.35, + "learning_rate": 1.5100246331730946e-05, + "loss": 0.7159, + "step": 2211 + }, + { + "epoch": 0.35, + "learning_rate": 1.5095838107801273e-05, + "loss": 0.7867, + "step": 2212 + }, + { + "epoch": 0.35, + "learning_rate": 1.5091428545882034e-05, + "loss": 0.7534, + "step": 2213 + }, + { + "epoch": 0.35, + "learning_rate": 1.508701764713103e-05, + "loss": 0.7903, + "step": 2214 + }, + { + "epoch": 0.35, + "learning_rate": 1.5082605412706408e-05, + "loss": 0.7583, + "step": 2215 + }, + { + "epoch": 0.35, + "learning_rate": 1.5078191843766669e-05, + "loss": 0.2883, + "step": 2216 + }, + { + "epoch": 0.35, + "learning_rate": 1.5073776941470659e-05, + "loss": 0.8062, + "step": 2217 + }, + { + "epoch": 0.35, + "learning_rate": 1.5069360706977576e-05, + "loss": 0.7231, + "step": 2218 + }, + { + "epoch": 0.35, + "learning_rate": 1.5064943141446979e-05, + "loss": 0.7734, + "step": 2219 + }, + { + "epoch": 0.35, + "learning_rate": 1.5060524246038756e-05, + "loss": 0.7444, + "step": 2220 + }, + { + "epoch": 0.35, + "learning_rate": 1.5056104021913163e-05, + "loss": 0.8613, + "step": 2221 + }, + { + "epoch": 0.35, + "learning_rate": 1.505168247023079e-05, + "loss": 0.7336, + "step": 2222 + }, + { + "epoch": 0.35, + "learning_rate": 1.5047259592152587e-05, + "loss": 0.8235, + "step": 2223 + }, + { + "epoch": 0.35, + "learning_rate": 1.5042835388839848e-05, + "loss": 0.3133, + "step": 2224 + }, + { + "epoch": 0.35, + "learning_rate": 1.5038409861454208e-05, + "loss": 0.8054, + "step": 2225 + }, + { + "epoch": 0.35, + "learning_rate": 1.5033983011157669e-05, + "loss": 0.7258, + "step": 2226 + }, + { + "epoch": 0.35, + "learning_rate": 1.5029554839112557e-05, + "loss": 0.749, + "step": 2227 + }, + { + "epoch": 0.35, + "learning_rate": 1.5025125346481556e-05, + "loss": 0.7361, + "step": 2228 + }, + { + "epoch": 0.35, + "learning_rate": 1.5020694534427702e-05, + "loss": 0.7788, + "step": 2229 + }, + { + "epoch": 0.35, + "learning_rate": 1.501626240411437e-05, + "loss": 0.7484, + "step": 2230 + }, + { + "epoch": 0.35, + "learning_rate": 1.5011828956705282e-05, + "loss": 0.8271, + "step": 2231 + }, + { + "epoch": 0.35, + "learning_rate": 1.5007394193364501e-05, + "loss": 0.6582, + "step": 2232 + }, + { + "epoch": 0.35, + "learning_rate": 1.5002958115256454e-05, + "loss": 0.7637, + "step": 2233 + }, + { + "epoch": 0.35, + "learning_rate": 1.4998520723545893e-05, + "loss": 0.752, + "step": 2234 + }, + { + "epoch": 0.35, + "learning_rate": 1.4994082019397922e-05, + "loss": 0.7627, + "step": 2235 + }, + { + "epoch": 0.35, + "learning_rate": 1.4989642003977993e-05, + "loss": 0.7532, + "step": 2236 + }, + { + "epoch": 0.35, + "learning_rate": 1.4985200678451897e-05, + "loss": 0.7896, + "step": 2237 + }, + { + "epoch": 0.35, + "learning_rate": 1.498075804398577e-05, + "loss": 0.7605, + "step": 2238 + }, + { + "epoch": 0.35, + "learning_rate": 1.4976314101746102e-05, + "loss": 0.7839, + "step": 2239 + }, + { + "epoch": 0.35, + "learning_rate": 1.4971868852899705e-05, + "loss": 0.7627, + "step": 2240 + }, + { + "epoch": 0.35, + "learning_rate": 1.4967422298613751e-05, + "loss": 0.7712, + "step": 2241 + }, + { + "epoch": 0.35, + "learning_rate": 1.4962974440055755e-05, + "loss": 0.79, + "step": 2242 + }, + { + "epoch": 0.35, + "learning_rate": 1.4958525278393566e-05, + "loss": 0.7427, + "step": 2243 + }, + { + "epoch": 0.36, + "learning_rate": 1.4954074814795378e-05, + "loss": 0.8103, + "step": 2244 + }, + { + "epoch": 0.36, + "learning_rate": 1.4949623050429729e-05, + "loss": 0.8145, + "step": 2245 + }, + { + "epoch": 0.36, + "learning_rate": 1.4945169986465496e-05, + "loss": 0.7144, + "step": 2246 + }, + { + "epoch": 0.36, + "learning_rate": 1.4940715624071902e-05, + "loss": 0.7588, + "step": 2247 + }, + { + "epoch": 0.36, + "learning_rate": 1.49362599644185e-05, + "loss": 0.7886, + "step": 2248 + }, + { + "epoch": 0.36, + "learning_rate": 1.4931803008675201e-05, + "loss": 0.7303, + "step": 2249 + }, + { + "epoch": 0.36, + "learning_rate": 1.4927344758012238e-05, + "loss": 0.7394, + "step": 2250 + }, + { + "epoch": 0.36, + "learning_rate": 1.4922885213600196e-05, + "loss": 0.7844, + "step": 2251 + }, + { + "epoch": 0.36, + "learning_rate": 1.4918424376609996e-05, + "loss": 0.7595, + "step": 2252 + }, + { + "epoch": 0.36, + "learning_rate": 1.49139622482129e-05, + "loss": 0.7789, + "step": 2253 + }, + { + "epoch": 0.36, + "learning_rate": 1.4909498829580502e-05, + "loss": 0.7805, + "step": 2254 + }, + { + "epoch": 0.36, + "learning_rate": 1.4905034121884743e-05, + "loss": 0.7559, + "step": 2255 + }, + { + "epoch": 0.36, + "learning_rate": 1.4900568126297903e-05, + "loss": 0.7783, + "step": 2256 + }, + { + "epoch": 0.36, + "learning_rate": 1.4896100843992593e-05, + "loss": 0.7423, + "step": 2257 + }, + { + "epoch": 0.36, + "learning_rate": 1.4891632276141766e-05, + "loss": 0.7542, + "step": 2258 + }, + { + "epoch": 0.36, + "learning_rate": 1.4887162423918712e-05, + "loss": 0.7695, + "step": 2259 + }, + { + "epoch": 0.36, + "learning_rate": 1.4882691288497065e-05, + "loss": 0.7531, + "step": 2260 + }, + { + "epoch": 0.36, + "learning_rate": 1.4878218871050778e-05, + "loss": 0.7983, + "step": 2261 + }, + { + "epoch": 0.36, + "learning_rate": 1.487374517275416e-05, + "loss": 0.7927, + "step": 2262 + }, + { + "epoch": 0.36, + "learning_rate": 1.4869270194781848e-05, + "loss": 0.7834, + "step": 2263 + }, + { + "epoch": 0.36, + "learning_rate": 1.4864793938308812e-05, + "loss": 0.7255, + "step": 2264 + }, + { + "epoch": 0.36, + "learning_rate": 1.4860316404510362e-05, + "loss": 0.8102, + "step": 2265 + }, + { + "epoch": 0.36, + "learning_rate": 1.4855837594562144e-05, + "loss": 0.3163, + "step": 2266 + }, + { + "epoch": 0.36, + "learning_rate": 1.4851357509640136e-05, + "loss": 0.8005, + "step": 2267 + }, + { + "epoch": 0.36, + "learning_rate": 1.4846876150920652e-05, + "loss": 0.7974, + "step": 2268 + }, + { + "epoch": 0.36, + "learning_rate": 1.4842393519580345e-05, + "loss": 0.7722, + "step": 2269 + }, + { + "epoch": 0.36, + "learning_rate": 1.483790961679619e-05, + "loss": 0.7715, + "step": 2270 + }, + { + "epoch": 0.36, + "learning_rate": 1.483342444374551e-05, + "loss": 0.698, + "step": 2271 + }, + { + "epoch": 0.36, + "learning_rate": 1.4828938001605951e-05, + "loss": 0.7825, + "step": 2272 + }, + { + "epoch": 0.36, + "learning_rate": 1.4824450291555498e-05, + "loss": 0.2906, + "step": 2273 + }, + { + "epoch": 0.36, + "learning_rate": 1.4819961314772475e-05, + "loss": 0.8171, + "step": 2274 + }, + { + "epoch": 0.36, + "learning_rate": 1.4815471072435515e-05, + "loss": 0.7765, + "step": 2275 + }, + { + "epoch": 0.36, + "learning_rate": 1.481097956572361e-05, + "loss": 0.7495, + "step": 2276 + }, + { + "epoch": 0.36, + "learning_rate": 1.4806486795816075e-05, + "loss": 0.7908, + "step": 2277 + }, + { + "epoch": 0.36, + "learning_rate": 1.480199276389255e-05, + "loss": 0.7823, + "step": 2278 + }, + { + "epoch": 0.36, + "learning_rate": 1.4797497471133007e-05, + "loss": 0.3053, + "step": 2279 + }, + { + "epoch": 0.36, + "learning_rate": 1.4793000918717765e-05, + "loss": 0.7479, + "step": 2280 + }, + { + "epoch": 0.36, + "learning_rate": 1.4788503107827452e-05, + "loss": 0.8528, + "step": 2281 + }, + { + "epoch": 0.36, + "learning_rate": 1.4784004039643041e-05, + "loss": 0.7922, + "step": 2282 + }, + { + "epoch": 0.36, + "learning_rate": 1.4779503715345827e-05, + "loss": 0.7605, + "step": 2283 + }, + { + "epoch": 0.36, + "learning_rate": 1.4775002136117445e-05, + "loss": 0.7643, + "step": 2284 + }, + { + "epoch": 0.36, + "learning_rate": 1.4770499303139845e-05, + "loss": 0.7371, + "step": 2285 + }, + { + "epoch": 0.36, + "learning_rate": 1.476599521759532e-05, + "loss": 0.7123, + "step": 2286 + }, + { + "epoch": 0.36, + "learning_rate": 1.4761489880666483e-05, + "loss": 0.7705, + "step": 2287 + }, + { + "epoch": 0.36, + "learning_rate": 1.475698329353628e-05, + "loss": 0.762, + "step": 2288 + }, + { + "epoch": 0.36, + "learning_rate": 1.4752475457387983e-05, + "loss": 0.7161, + "step": 2289 + }, + { + "epoch": 0.36, + "learning_rate": 1.4747966373405192e-05, + "loss": 0.7723, + "step": 2290 + }, + { + "epoch": 0.36, + "learning_rate": 1.4743456042771838e-05, + "loss": 0.749, + "step": 2291 + }, + { + "epoch": 0.36, + "learning_rate": 1.4738944466672173e-05, + "loss": 0.7944, + "step": 2292 + }, + { + "epoch": 0.36, + "learning_rate": 1.4734431646290783e-05, + "loss": 0.7615, + "step": 2293 + }, + { + "epoch": 0.36, + "learning_rate": 1.4729917582812575e-05, + "loss": 0.7404, + "step": 2294 + }, + { + "epoch": 0.36, + "learning_rate": 1.4725402277422787e-05, + "loss": 0.7419, + "step": 2295 + }, + { + "epoch": 0.36, + "learning_rate": 1.472088573130698e-05, + "loss": 0.7081, + "step": 2296 + }, + { + "epoch": 0.36, + "learning_rate": 1.471636794565104e-05, + "loss": 0.6974, + "step": 2297 + }, + { + "epoch": 0.36, + "learning_rate": 1.4711848921641183e-05, + "loss": 0.781, + "step": 2298 + }, + { + "epoch": 0.36, + "learning_rate": 1.4707328660463944e-05, + "loss": 0.7367, + "step": 2299 + }, + { + "epoch": 0.36, + "learning_rate": 1.470280716330619e-05, + "loss": 0.733, + "step": 2300 + }, + { + "epoch": 0.36, + "learning_rate": 1.4698284431355105e-05, + "loss": 0.748, + "step": 2301 + }, + { + "epoch": 0.36, + "learning_rate": 1.46937604657982e-05, + "loss": 0.7747, + "step": 2302 + }, + { + "epoch": 0.36, + "learning_rate": 1.4689235267823318e-05, + "loss": 0.7737, + "step": 2303 + }, + { + "epoch": 0.36, + "learning_rate": 1.4684708838618616e-05, + "loss": 0.7261, + "step": 2304 + }, + { + "epoch": 0.36, + "learning_rate": 1.4680181179372568e-05, + "loss": 0.7334, + "step": 2305 + }, + { + "epoch": 0.36, + "learning_rate": 1.4675652291273988e-05, + "loss": 0.7939, + "step": 2306 + }, + { + "epoch": 0.36, + "learning_rate": 1.4671122175512e-05, + "loss": 0.7307, + "step": 2307 + }, + { + "epoch": 0.37, + "learning_rate": 1.466659083327606e-05, + "loss": 0.712, + "step": 2308 + }, + { + "epoch": 0.37, + "learning_rate": 1.4662058265755935e-05, + "loss": 0.74, + "step": 2309 + }, + { + "epoch": 0.37, + "learning_rate": 1.4657524474141722e-05, + "loss": 0.6953, + "step": 2310 + }, + { + "epoch": 0.37, + "learning_rate": 1.4652989459623838e-05, + "loss": 0.7681, + "step": 2311 + }, + { + "epoch": 0.37, + "learning_rate": 1.4648453223393016e-05, + "loss": 0.7642, + "step": 2312 + }, + { + "epoch": 0.37, + "learning_rate": 1.4643915766640313e-05, + "loss": 0.764, + "step": 2313 + }, + { + "epoch": 0.37, + "learning_rate": 1.4639377090557114e-05, + "loss": 0.7797, + "step": 2314 + }, + { + "epoch": 0.37, + "learning_rate": 1.4634837196335112e-05, + "loss": 0.79, + "step": 2315 + }, + { + "epoch": 0.37, + "learning_rate": 1.4630296085166327e-05, + "loss": 0.7874, + "step": 2316 + }, + { + "epoch": 0.37, + "learning_rate": 1.4625753758243093e-05, + "loss": 0.7302, + "step": 2317 + }, + { + "epoch": 0.37, + "learning_rate": 1.4621210216758073e-05, + "loss": 0.7712, + "step": 2318 + }, + { + "epoch": 0.37, + "learning_rate": 1.4616665461904233e-05, + "loss": 0.7578, + "step": 2319 + }, + { + "epoch": 0.37, + "learning_rate": 1.4612119494874878e-05, + "loss": 0.7758, + "step": 2320 + }, + { + "epoch": 0.37, + "learning_rate": 1.4607572316863618e-05, + "loss": 0.7295, + "step": 2321 + }, + { + "epoch": 0.37, + "learning_rate": 1.460302392906438e-05, + "loss": 0.7029, + "step": 2322 + }, + { + "epoch": 0.37, + "learning_rate": 1.4598474332671412e-05, + "loss": 0.7843, + "step": 2323 + }, + { + "epoch": 0.37, + "learning_rate": 1.4593923528879282e-05, + "loss": 0.2999, + "step": 2324 + }, + { + "epoch": 0.37, + "learning_rate": 1.4589371518882873e-05, + "loss": 0.771, + "step": 2325 + }, + { + "epoch": 0.37, + "learning_rate": 1.458481830387738e-05, + "loss": 0.8, + "step": 2326 + }, + { + "epoch": 0.37, + "learning_rate": 1.4580263885058323e-05, + "loss": 0.2933, + "step": 2327 + }, + { + "epoch": 0.37, + "learning_rate": 1.4575708263621536e-05, + "loss": 0.7205, + "step": 2328 + }, + { + "epoch": 0.37, + "learning_rate": 1.4571151440763158e-05, + "loss": 0.8397, + "step": 2329 + }, + { + "epoch": 0.37, + "learning_rate": 1.4566593417679659e-05, + "loss": 0.7786, + "step": 2330 + }, + { + "epoch": 0.37, + "learning_rate": 1.4562034195567815e-05, + "loss": 0.7017, + "step": 2331 + }, + { + "epoch": 0.37, + "learning_rate": 1.455747377562472e-05, + "loss": 0.702, + "step": 2332 + }, + { + "epoch": 0.37, + "learning_rate": 1.4552912159047778e-05, + "loss": 0.275, + "step": 2333 + }, + { + "epoch": 0.37, + "learning_rate": 1.4548349347034716e-05, + "loss": 0.792, + "step": 2334 + }, + { + "epoch": 0.37, + "learning_rate": 1.4543785340783562e-05, + "loss": 0.7988, + "step": 2335 + }, + { + "epoch": 0.37, + "learning_rate": 1.4539220141492672e-05, + "loss": 0.73, + "step": 2336 + }, + { + "epoch": 0.37, + "learning_rate": 1.4534653750360704e-05, + "loss": 0.7391, + "step": 2337 + }, + { + "epoch": 0.37, + "learning_rate": 1.4530086168586636e-05, + "loss": 0.7515, + "step": 2338 + }, + { + "epoch": 0.37, + "learning_rate": 1.4525517397369756e-05, + "loss": 0.8235, + "step": 2339 + }, + { + "epoch": 0.37, + "learning_rate": 1.4520947437909661e-05, + "loss": 0.7125, + "step": 2340 + }, + { + "epoch": 0.37, + "learning_rate": 1.4516376291406266e-05, + "loss": 0.8494, + "step": 2341 + }, + { + "epoch": 0.37, + "learning_rate": 1.4511803959059792e-05, + "loss": 0.8066, + "step": 2342 + }, + { + "epoch": 0.37, + "learning_rate": 1.4507230442070777e-05, + "loss": 0.7661, + "step": 2343 + }, + { + "epoch": 0.37, + "learning_rate": 1.4502655741640066e-05, + "loss": 0.8093, + "step": 2344 + }, + { + "epoch": 0.37, + "learning_rate": 1.4498079858968819e-05, + "loss": 0.7781, + "step": 2345 + }, + { + "epoch": 0.37, + "learning_rate": 1.4493502795258499e-05, + "loss": 0.7909, + "step": 2346 + }, + { + "epoch": 0.37, + "learning_rate": 1.4488924551710884e-05, + "loss": 0.7883, + "step": 2347 + }, + { + "epoch": 0.37, + "learning_rate": 1.4484345129528064e-05, + "loss": 0.7183, + "step": 2348 + }, + { + "epoch": 0.37, + "learning_rate": 1.4479764529912431e-05, + "loss": 0.7678, + "step": 2349 + }, + { + "epoch": 0.37, + "learning_rate": 1.4475182754066696e-05, + "loss": 0.7878, + "step": 2350 + }, + { + "epoch": 0.37, + "learning_rate": 1.4470599803193875e-05, + "loss": 0.824, + "step": 2351 + }, + { + "epoch": 0.37, + "learning_rate": 1.446601567849728e-05, + "loss": 0.7498, + "step": 2352 + }, + { + "epoch": 0.37, + "learning_rate": 1.4461430381180556e-05, + "loss": 0.7786, + "step": 2353 + }, + { + "epoch": 0.37, + "learning_rate": 1.4456843912447638e-05, + "loss": 0.7875, + "step": 2354 + }, + { + "epoch": 0.37, + "learning_rate": 1.445225627350277e-05, + "loss": 0.6833, + "step": 2355 + }, + { + "epoch": 0.37, + "learning_rate": 1.4447667465550503e-05, + "loss": 0.7727, + "step": 2356 + }, + { + "epoch": 0.37, + "learning_rate": 1.4443077489795712e-05, + "loss": 0.7612, + "step": 2357 + }, + { + "epoch": 0.37, + "learning_rate": 1.443848634744355e-05, + "loss": 0.7762, + "step": 2358 + }, + { + "epoch": 0.37, + "learning_rate": 1.4433894039699497e-05, + "loss": 0.726, + "step": 2359 + }, + { + "epoch": 0.37, + "learning_rate": 1.4429300567769333e-05, + "loss": 0.7383, + "step": 2360 + }, + { + "epoch": 0.37, + "learning_rate": 1.4424705932859145e-05, + "loss": 0.7902, + "step": 2361 + }, + { + "epoch": 0.37, + "learning_rate": 1.442011013617532e-05, + "loss": 0.7937, + "step": 2362 + }, + { + "epoch": 0.37, + "learning_rate": 1.4415513178924558e-05, + "loss": 0.823, + "step": 2363 + }, + { + "epoch": 0.37, + "learning_rate": 1.441091506231386e-05, + "loss": 0.668, + "step": 2364 + }, + { + "epoch": 0.37, + "learning_rate": 1.4406315787550527e-05, + "loss": 0.7285, + "step": 2365 + }, + { + "epoch": 0.37, + "learning_rate": 1.4401715355842169e-05, + "loss": 0.7617, + "step": 2366 + }, + { + "epoch": 0.37, + "learning_rate": 1.4397113768396706e-05, + "loss": 0.7308, + "step": 2367 + }, + { + "epoch": 0.37, + "learning_rate": 1.4392511026422349e-05, + "loss": 0.7888, + "step": 2368 + }, + { + "epoch": 0.37, + "learning_rate": 1.4387907131127616e-05, + "loss": 0.7865, + "step": 2369 + }, + { + "epoch": 0.37, + "learning_rate": 1.4383302083721333e-05, + "loss": 0.7688, + "step": 2370 + }, + { + "epoch": 0.38, + "learning_rate": 1.4378695885412623e-05, + "loss": 0.7332, + "step": 2371 + }, + { + "epoch": 0.38, + "learning_rate": 1.4374088537410918e-05, + "loss": 0.8008, + "step": 2372 + }, + { + "epoch": 0.38, + "learning_rate": 1.4369480040925936e-05, + "loss": 0.7292, + "step": 2373 + }, + { + "epoch": 0.38, + "learning_rate": 1.4364870397167721e-05, + "loss": 0.7832, + "step": 2374 + }, + { + "epoch": 0.38, + "learning_rate": 1.4360259607346597e-05, + "loss": 0.74, + "step": 2375 + }, + { + "epoch": 0.38, + "learning_rate": 1.43556476726732e-05, + "loss": 0.7974, + "step": 2376 + }, + { + "epoch": 0.38, + "learning_rate": 1.4351034594358457e-05, + "loss": 0.7649, + "step": 2377 + }, + { + "epoch": 0.38, + "learning_rate": 1.434642037361361e-05, + "loss": 0.7495, + "step": 2378 + }, + { + "epoch": 0.38, + "learning_rate": 1.434180501165019e-05, + "loss": 0.8013, + "step": 2379 + }, + { + "epoch": 0.38, + "learning_rate": 1.4337188509680024e-05, + "loss": 0.7432, + "step": 2380 + }, + { + "epoch": 0.38, + "learning_rate": 1.4332570868915256e-05, + "loss": 0.7759, + "step": 2381 + }, + { + "epoch": 0.38, + "learning_rate": 1.4327952090568311e-05, + "loss": 0.7642, + "step": 2382 + }, + { + "epoch": 0.38, + "learning_rate": 1.4323332175851915e-05, + "loss": 0.7667, + "step": 2383 + }, + { + "epoch": 0.38, + "learning_rate": 1.4318711125979108e-05, + "loss": 0.7043, + "step": 2384 + }, + { + "epoch": 0.38, + "learning_rate": 1.4314088942163207e-05, + "loss": 0.7368, + "step": 2385 + }, + { + "epoch": 0.38, + "learning_rate": 1.430946562561784e-05, + "loss": 0.7362, + "step": 2386 + }, + { + "epoch": 0.38, + "learning_rate": 1.4304841177556928e-05, + "loss": 0.7559, + "step": 2387 + }, + { + "epoch": 0.38, + "learning_rate": 1.4300215599194692e-05, + "loss": 0.7605, + "step": 2388 + }, + { + "epoch": 0.38, + "learning_rate": 1.4295588891745644e-05, + "loss": 0.8081, + "step": 2389 + }, + { + "epoch": 0.38, + "learning_rate": 1.4290961056424598e-05, + "loss": 0.3224, + "step": 2390 + }, + { + "epoch": 0.38, + "learning_rate": 1.4286332094446664e-05, + "loss": 0.7791, + "step": 2391 + }, + { + "epoch": 0.38, + "learning_rate": 1.4281702007027248e-05, + "loss": 0.8162, + "step": 2392 + }, + { + "epoch": 0.38, + "learning_rate": 1.4277070795382042e-05, + "loss": 0.7683, + "step": 2393 + }, + { + "epoch": 0.38, + "learning_rate": 1.4272438460727047e-05, + "loss": 0.7297, + "step": 2394 + }, + { + "epoch": 0.38, + "learning_rate": 1.4267805004278553e-05, + "loss": 0.744, + "step": 2395 + }, + { + "epoch": 0.38, + "learning_rate": 1.426317042725314e-05, + "loss": 0.7294, + "step": 2396 + }, + { + "epoch": 0.38, + "learning_rate": 1.4258534730867688e-05, + "loss": 0.7399, + "step": 2397 + }, + { + "epoch": 0.38, + "learning_rate": 1.4253897916339374e-05, + "loss": 0.6699, + "step": 2398 + }, + { + "epoch": 0.38, + "learning_rate": 1.4249259984885657e-05, + "loss": 0.8108, + "step": 2399 + }, + { + "epoch": 0.38, + "learning_rate": 1.4244620937724301e-05, + "loss": 0.6945, + "step": 2400 + }, + { + "epoch": 0.38, + "learning_rate": 1.4239980776073355e-05, + "loss": 0.7166, + "step": 2401 + }, + { + "epoch": 0.38, + "learning_rate": 1.4235339501151169e-05, + "loss": 0.7837, + "step": 2402 + }, + { + "epoch": 0.38, + "learning_rate": 1.4230697114176371e-05, + "loss": 0.7247, + "step": 2403 + }, + { + "epoch": 0.38, + "learning_rate": 1.42260536163679e-05, + "loss": 0.8076, + "step": 2404 + }, + { + "epoch": 0.38, + "learning_rate": 1.4221409008944972e-05, + "loss": 0.7979, + "step": 2405 + }, + { + "epoch": 0.38, + "learning_rate": 1.4216763293127096e-05, + "loss": 0.7346, + "step": 2406 + }, + { + "epoch": 0.38, + "learning_rate": 1.4212116470134083e-05, + "loss": 0.7585, + "step": 2407 + }, + { + "epoch": 0.38, + "learning_rate": 1.420746854118602e-05, + "loss": 0.7861, + "step": 2408 + }, + { + "epoch": 0.38, + "learning_rate": 1.4202819507503293e-05, + "loss": 0.7764, + "step": 2409 + }, + { + "epoch": 0.38, + "learning_rate": 1.419816937030658e-05, + "loss": 0.7892, + "step": 2410 + }, + { + "epoch": 0.38, + "learning_rate": 1.4193518130816839e-05, + "loss": 0.7864, + "step": 2411 + }, + { + "epoch": 0.38, + "learning_rate": 1.418886579025533e-05, + "loss": 0.8154, + "step": 2412 + }, + { + "epoch": 0.38, + "learning_rate": 1.4184212349843588e-05, + "loss": 0.772, + "step": 2413 + }, + { + "epoch": 0.38, + "learning_rate": 1.4179557810803449e-05, + "loss": 0.6923, + "step": 2414 + }, + { + "epoch": 0.38, + "learning_rate": 1.4174902174357032e-05, + "loss": 0.7792, + "step": 2415 + }, + { + "epoch": 0.38, + "learning_rate": 1.4170245441726747e-05, + "loss": 0.7294, + "step": 2416 + }, + { + "epoch": 0.38, + "learning_rate": 1.4165587614135285e-05, + "loss": 0.7672, + "step": 2417 + }, + { + "epoch": 0.38, + "learning_rate": 1.4160928692805636e-05, + "loss": 0.801, + "step": 2418 + }, + { + "epoch": 0.38, + "learning_rate": 1.4156268678961063e-05, + "loss": 0.8325, + "step": 2419 + }, + { + "epoch": 0.38, + "learning_rate": 1.4151607573825126e-05, + "loss": 0.7649, + "step": 2420 + }, + { + "epoch": 0.38, + "learning_rate": 1.4146945378621672e-05, + "loss": 0.7693, + "step": 2421 + }, + { + "epoch": 0.38, + "learning_rate": 1.4142282094574831e-05, + "loss": 0.3067, + "step": 2422 + }, + { + "epoch": 0.38, + "learning_rate": 1.4137617722909013e-05, + "loss": 0.2719, + "step": 2423 + }, + { + "epoch": 0.38, + "learning_rate": 1.4132952264848924e-05, + "loss": 0.715, + "step": 2424 + }, + { + "epoch": 0.38, + "learning_rate": 1.412828572161955e-05, + "loss": 0.75, + "step": 2425 + }, + { + "epoch": 0.38, + "learning_rate": 1.4123618094446165e-05, + "loss": 0.8005, + "step": 2426 + }, + { + "epoch": 0.38, + "learning_rate": 1.4118949384554319e-05, + "loss": 0.7119, + "step": 2427 + }, + { + "epoch": 0.38, + "learning_rate": 1.411427959316986e-05, + "loss": 0.7008, + "step": 2428 + }, + { + "epoch": 0.38, + "learning_rate": 1.4109608721518905e-05, + "loss": 0.8247, + "step": 2429 + }, + { + "epoch": 0.38, + "learning_rate": 1.4104936770827868e-05, + "loss": 0.7515, + "step": 2430 + }, + { + "epoch": 0.38, + "learning_rate": 1.4100263742323439e-05, + "loss": 0.7634, + "step": 2431 + }, + { + "epoch": 0.38, + "learning_rate": 1.4095589637232592e-05, + "loss": 0.7375, + "step": 2432 + }, + { + "epoch": 0.38, + "learning_rate": 1.4090914456782586e-05, + "loss": 0.7834, + "step": 2433 + }, + { + "epoch": 0.39, + "learning_rate": 1.4086238202200957e-05, + "loss": 0.772, + "step": 2434 + }, + { + "epoch": 0.39, + "learning_rate": 1.4081560874715527e-05, + "loss": 0.7185, + "step": 2435 + }, + { + "epoch": 0.39, + "learning_rate": 1.4076882475554403e-05, + "loss": 0.7534, + "step": 2436 + }, + { + "epoch": 0.39, + "learning_rate": 1.4072203005945965e-05, + "loss": 0.7917, + "step": 2437 + }, + { + "epoch": 0.39, + "learning_rate": 1.4067522467118884e-05, + "loss": 0.76, + "step": 2438 + }, + { + "epoch": 0.39, + "learning_rate": 1.4062840860302101e-05, + "loss": 0.7922, + "step": 2439 + }, + { + "epoch": 0.39, + "learning_rate": 1.4058158186724846e-05, + "loss": 0.7974, + "step": 2440 + }, + { + "epoch": 0.39, + "learning_rate": 1.4053474447616627e-05, + "loss": 0.8774, + "step": 2441 + }, + { + "epoch": 0.39, + "learning_rate": 1.4048789644207225e-05, + "loss": 0.7245, + "step": 2442 + }, + { + "epoch": 0.39, + "learning_rate": 1.4044103777726709e-05, + "loss": 0.7498, + "step": 2443 + }, + { + "epoch": 0.39, + "learning_rate": 1.4039416849405431e-05, + "loss": 0.7747, + "step": 2444 + }, + { + "epoch": 0.39, + "learning_rate": 1.403472886047401e-05, + "loss": 0.7708, + "step": 2445 + }, + { + "epoch": 0.39, + "learning_rate": 1.4030039812163343e-05, + "loss": 0.7047, + "step": 2446 + }, + { + "epoch": 0.39, + "learning_rate": 1.402534970570462e-05, + "loss": 0.7236, + "step": 2447 + }, + { + "epoch": 0.39, + "learning_rate": 1.402065854232929e-05, + "loss": 0.8577, + "step": 2448 + }, + { + "epoch": 0.39, + "learning_rate": 1.4015966323269099e-05, + "loss": 0.8608, + "step": 2449 + }, + { + "epoch": 0.39, + "learning_rate": 1.4011273049756054e-05, + "loss": 0.7112, + "step": 2450 + }, + { + "epoch": 0.39, + "learning_rate": 1.4006578723022449e-05, + "loss": 0.7534, + "step": 2451 + }, + { + "epoch": 0.39, + "learning_rate": 1.4001883344300847e-05, + "loss": 0.7637, + "step": 2452 + }, + { + "epoch": 0.39, + "learning_rate": 1.399718691482409e-05, + "loss": 0.7559, + "step": 2453 + }, + { + "epoch": 0.39, + "learning_rate": 1.3992489435825303e-05, + "loss": 0.7657, + "step": 2454 + }, + { + "epoch": 0.39, + "learning_rate": 1.3987790908537874e-05, + "loss": 0.7277, + "step": 2455 + }, + { + "epoch": 0.39, + "learning_rate": 1.3983091334195478e-05, + "loss": 0.7865, + "step": 2456 + }, + { + "epoch": 0.39, + "learning_rate": 1.3978390714032053e-05, + "loss": 0.8083, + "step": 2457 + }, + { + "epoch": 0.39, + "learning_rate": 1.3973689049281825e-05, + "loss": 0.7454, + "step": 2458 + }, + { + "epoch": 0.39, + "learning_rate": 1.396898634117928e-05, + "loss": 0.7585, + "step": 2459 + }, + { + "epoch": 0.39, + "learning_rate": 1.396428259095919e-05, + "loss": 0.7686, + "step": 2460 + }, + { + "epoch": 0.39, + "learning_rate": 1.3959577799856598e-05, + "loss": 0.8152, + "step": 2461 + }, + { + "epoch": 0.39, + "learning_rate": 1.3954871969106815e-05, + "loss": 0.708, + "step": 2462 + }, + { + "epoch": 0.39, + "learning_rate": 1.3950165099945427e-05, + "loss": 0.7739, + "step": 2463 + }, + { + "epoch": 0.39, + "learning_rate": 1.3945457193608299e-05, + "loss": 0.7585, + "step": 2464 + }, + { + "epoch": 0.39, + "learning_rate": 1.3940748251331557e-05, + "loss": 0.7295, + "step": 2465 + }, + { + "epoch": 0.39, + "learning_rate": 1.393603827435161e-05, + "loss": 0.7782, + "step": 2466 + }, + { + "epoch": 0.39, + "learning_rate": 1.3931327263905128e-05, + "loss": 0.6864, + "step": 2467 + }, + { + "epoch": 0.39, + "learning_rate": 1.3926615221229065e-05, + "loss": 0.7112, + "step": 2468 + }, + { + "epoch": 0.39, + "learning_rate": 1.392190214756064e-05, + "loss": 0.6681, + "step": 2469 + }, + { + "epoch": 0.39, + "learning_rate": 1.391718804413733e-05, + "loss": 0.8066, + "step": 2470 + }, + { + "epoch": 0.39, + "learning_rate": 1.391247291219691e-05, + "loss": 0.7725, + "step": 2471 + }, + { + "epoch": 0.39, + "learning_rate": 1.39077567529774e-05, + "loss": 0.7742, + "step": 2472 + }, + { + "epoch": 0.39, + "learning_rate": 1.39030395677171e-05, + "loss": 0.7302, + "step": 2473 + }, + { + "epoch": 0.39, + "learning_rate": 1.3898321357654578e-05, + "loss": 0.7961, + "step": 2474 + }, + { + "epoch": 0.39, + "learning_rate": 1.3893602124028677e-05, + "loss": 0.8152, + "step": 2475 + }, + { + "epoch": 0.39, + "learning_rate": 1.3888881868078499e-05, + "loss": 0.7861, + "step": 2476 + }, + { + "epoch": 0.39, + "learning_rate": 1.3884160591043416e-05, + "loss": 0.7236, + "step": 2477 + }, + { + "epoch": 0.39, + "learning_rate": 1.3879438294163077e-05, + "loss": 0.7754, + "step": 2478 + }, + { + "epoch": 0.39, + "learning_rate": 1.3874714978677391e-05, + "loss": 0.7556, + "step": 2479 + }, + { + "epoch": 0.39, + "learning_rate": 1.3869990645826534e-05, + "loss": 0.7473, + "step": 2480 + }, + { + "epoch": 0.39, + "learning_rate": 1.3865265296850952e-05, + "loss": 0.792, + "step": 2481 + }, + { + "epoch": 0.39, + "learning_rate": 1.3860538932991356e-05, + "loss": 0.7797, + "step": 2482 + }, + { + "epoch": 0.39, + "learning_rate": 1.3855811555488727e-05, + "loss": 0.3066, + "step": 2483 + }, + { + "epoch": 0.39, + "learning_rate": 1.385108316558431e-05, + "loss": 0.7924, + "step": 2484 + }, + { + "epoch": 0.39, + "learning_rate": 1.384635376451961e-05, + "loss": 0.7363, + "step": 2485 + }, + { + "epoch": 0.39, + "learning_rate": 1.3841623353536412e-05, + "loss": 0.7627, + "step": 2486 + }, + { + "epoch": 0.39, + "learning_rate": 1.3836891933876748e-05, + "loss": 0.7686, + "step": 2487 + }, + { + "epoch": 0.39, + "learning_rate": 1.383215950678293e-05, + "loss": 0.781, + "step": 2488 + }, + { + "epoch": 0.39, + "learning_rate": 1.3827426073497525e-05, + "loss": 0.7319, + "step": 2489 + }, + { + "epoch": 0.39, + "learning_rate": 1.382269163526337e-05, + "loss": 0.7887, + "step": 2490 + }, + { + "epoch": 0.39, + "learning_rate": 1.3817956193323561e-05, + "loss": 0.2903, + "step": 2491 + }, + { + "epoch": 0.39, + "learning_rate": 1.3813219748921462e-05, + "loss": 0.7623, + "step": 2492 + }, + { + "epoch": 0.39, + "learning_rate": 1.3808482303300703e-05, + "loss": 0.7419, + "step": 2493 + }, + { + "epoch": 0.39, + "learning_rate": 1.3803743857705162e-05, + "loss": 0.7749, + "step": 2494 + }, + { + "epoch": 0.39, + "learning_rate": 1.3799004413378996e-05, + "loss": 0.7505, + "step": 2495 + }, + { + "epoch": 0.39, + "learning_rate": 1.3794263971566618e-05, + "loss": 0.7522, + "step": 2496 + }, + { + "epoch": 0.4, + "learning_rate": 1.3789522533512698e-05, + "loss": 0.7617, + "step": 2497 + }, + { + "epoch": 0.4, + "learning_rate": 1.3784780100462183e-05, + "loss": 0.7703, + "step": 2498 + }, + { + "epoch": 0.4, + "learning_rate": 1.378003667366026e-05, + "loss": 0.7797, + "step": 2499 + }, + { + "epoch": 0.4, + "learning_rate": 1.377529225435239e-05, + "loss": 0.7754, + "step": 2500 + }, + { + "epoch": 0.4, + "learning_rate": 1.3770546843784295e-05, + "loss": 0.2766, + "step": 2501 + }, + { + "epoch": 0.4, + "learning_rate": 1.3765800443201956e-05, + "loss": 0.7869, + "step": 2502 + }, + { + "epoch": 0.4, + "learning_rate": 1.3761053053851608e-05, + "loss": 0.7122, + "step": 2503 + }, + { + "epoch": 0.4, + "learning_rate": 1.3756304676979753e-05, + "loss": 0.7998, + "step": 2504 + }, + { + "epoch": 0.4, + "learning_rate": 1.3751555313833146e-05, + "loss": 0.7783, + "step": 2505 + }, + { + "epoch": 0.4, + "learning_rate": 1.3746804965658808e-05, + "loss": 0.7634, + "step": 2506 + }, + { + "epoch": 0.4, + "learning_rate": 1.3742053633704013e-05, + "loss": 0.8047, + "step": 2507 + }, + { + "epoch": 0.4, + "learning_rate": 1.3737301319216293e-05, + "loss": 0.7593, + "step": 2508 + }, + { + "epoch": 0.4, + "learning_rate": 1.3732548023443448e-05, + "loss": 0.2942, + "step": 2509 + }, + { + "epoch": 0.4, + "learning_rate": 1.372779374763352e-05, + "loss": 0.7212, + "step": 2510 + }, + { + "epoch": 0.4, + "learning_rate": 1.3723038493034818e-05, + "loss": 0.7759, + "step": 2511 + }, + { + "epoch": 0.4, + "learning_rate": 1.3718282260895912e-05, + "loss": 0.7676, + "step": 2512 + }, + { + "epoch": 0.4, + "learning_rate": 1.3713525052465616e-05, + "loss": 0.8169, + "step": 2513 + }, + { + "epoch": 0.4, + "learning_rate": 1.3708766868993003e-05, + "loss": 0.783, + "step": 2514 + }, + { + "epoch": 0.4, + "learning_rate": 1.3704007711727418e-05, + "loss": 0.7856, + "step": 2515 + }, + { + "epoch": 0.4, + "learning_rate": 1.3699247581918446e-05, + "loss": 0.7794, + "step": 2516 + }, + { + "epoch": 0.4, + "learning_rate": 1.3694486480815927e-05, + "loss": 0.3081, + "step": 2517 + }, + { + "epoch": 0.4, + "learning_rate": 1.3689724409669964e-05, + "loss": 0.8357, + "step": 2518 + }, + { + "epoch": 0.4, + "learning_rate": 1.3684961369730912e-05, + "loss": 0.8232, + "step": 2519 + }, + { + "epoch": 0.4, + "learning_rate": 1.3680197362249374e-05, + "loss": 0.7202, + "step": 2520 + }, + { + "epoch": 0.4, + "learning_rate": 1.3675432388476213e-05, + "loss": 0.7614, + "step": 2521 + }, + { + "epoch": 0.4, + "learning_rate": 1.3670666449662556e-05, + "loss": 0.7092, + "step": 2522 + }, + { + "epoch": 0.4, + "learning_rate": 1.3665899547059757e-05, + "loss": 0.7328, + "step": 2523 + }, + { + "epoch": 0.4, + "learning_rate": 1.3661131681919448e-05, + "loss": 0.7192, + "step": 2524 + }, + { + "epoch": 0.4, + "learning_rate": 1.3656362855493503e-05, + "loss": 0.7588, + "step": 2525 + }, + { + "epoch": 0.4, + "learning_rate": 1.3651593069034048e-05, + "loss": 0.7437, + "step": 2526 + }, + { + "epoch": 0.4, + "learning_rate": 1.3646822323793465e-05, + "loss": 0.746, + "step": 2527 + }, + { + "epoch": 0.4, + "learning_rate": 1.3642050621024383e-05, + "loss": 0.7499, + "step": 2528 + }, + { + "epoch": 0.4, + "learning_rate": 1.3637277961979687e-05, + "loss": 0.8162, + "step": 2529 + }, + { + "epoch": 0.4, + "learning_rate": 1.363250434791251e-05, + "loss": 0.693, + "step": 2530 + }, + { + "epoch": 0.4, + "learning_rate": 1.3627729780076234e-05, + "loss": 0.7816, + "step": 2531 + }, + { + "epoch": 0.4, + "learning_rate": 1.3622954259724499e-05, + "loss": 0.8264, + "step": 2532 + }, + { + "epoch": 0.4, + "learning_rate": 1.3618177788111189e-05, + "loss": 0.7891, + "step": 2533 + }, + { + "epoch": 0.4, + "learning_rate": 1.3613400366490437e-05, + "loss": 0.7168, + "step": 2534 + }, + { + "epoch": 0.4, + "learning_rate": 1.3608621996116629e-05, + "loss": 0.7439, + "step": 2535 + }, + { + "epoch": 0.4, + "learning_rate": 1.3603842678244399e-05, + "loss": 0.7585, + "step": 2536 + }, + { + "epoch": 0.4, + "learning_rate": 1.359906241412863e-05, + "loss": 0.7417, + "step": 2537 + }, + { + "epoch": 0.4, + "learning_rate": 1.359428120502445e-05, + "loss": 0.2853, + "step": 2538 + }, + { + "epoch": 0.4, + "learning_rate": 1.3589499052187238e-05, + "loss": 0.3044, + "step": 2539 + }, + { + "epoch": 0.4, + "learning_rate": 1.3584715956872626e-05, + "loss": 0.8003, + "step": 2540 + }, + { + "epoch": 0.4, + "learning_rate": 1.357993192033648e-05, + "loss": 0.7356, + "step": 2541 + }, + { + "epoch": 0.4, + "learning_rate": 1.3575146943834928e-05, + "loss": 0.7605, + "step": 2542 + }, + { + "epoch": 0.4, + "learning_rate": 1.3570361028624336e-05, + "loss": 0.3037, + "step": 2543 + }, + { + "epoch": 0.4, + "learning_rate": 1.356557417596132e-05, + "loss": 0.826, + "step": 2544 + }, + { + "epoch": 0.4, + "learning_rate": 1.3560786387102736e-05, + "loss": 0.2791, + "step": 2545 + }, + { + "epoch": 0.4, + "learning_rate": 1.3555997663305698e-05, + "loss": 0.7661, + "step": 2546 + }, + { + "epoch": 0.4, + "learning_rate": 1.3551208005827551e-05, + "loss": 0.8401, + "step": 2547 + }, + { + "epoch": 0.4, + "learning_rate": 1.3546417415925894e-05, + "loss": 0.7207, + "step": 2548 + }, + { + "epoch": 0.4, + "learning_rate": 1.3541625894858571e-05, + "loss": 0.7551, + "step": 2549 + }, + { + "epoch": 0.4, + "learning_rate": 1.353683344388367e-05, + "loss": 0.7295, + "step": 2550 + }, + { + "epoch": 0.4, + "learning_rate": 1.3532040064259515e-05, + "loss": 0.822, + "step": 2551 + }, + { + "epoch": 0.4, + "learning_rate": 1.352724575724469e-05, + "loss": 0.751, + "step": 2552 + }, + { + "epoch": 0.4, + "learning_rate": 1.3522450524098005e-05, + "loss": 0.73, + "step": 2553 + }, + { + "epoch": 0.4, + "learning_rate": 1.3517654366078523e-05, + "loss": 0.7539, + "step": 2554 + }, + { + "epoch": 0.4, + "learning_rate": 1.351285728444555e-05, + "loss": 0.7537, + "step": 2555 + }, + { + "epoch": 0.4, + "learning_rate": 1.3508059280458633e-05, + "loss": 0.2896, + "step": 2556 + }, + { + "epoch": 0.4, + "learning_rate": 1.3503260355377556e-05, + "loss": 0.7771, + "step": 2557 + }, + { + "epoch": 0.4, + "learning_rate": 1.3498460510462356e-05, + "loss": 0.7593, + "step": 2558 + }, + { + "epoch": 0.4, + "learning_rate": 1.34936597469733e-05, + "loss": 0.7301, + "step": 2559 + }, + { + "epoch": 0.4, + "learning_rate": 1.3488858066170904e-05, + "loss": 0.7245, + "step": 2560 + }, + { + "epoch": 0.41, + "learning_rate": 1.348405546931592e-05, + "loss": 0.741, + "step": 2561 + }, + { + "epoch": 0.41, + "learning_rate": 1.3479251957669344e-05, + "loss": 0.8132, + "step": 2562 + }, + { + "epoch": 0.41, + "learning_rate": 1.3474447532492413e-05, + "loss": 0.7908, + "step": 2563 + }, + { + "epoch": 0.41, + "learning_rate": 1.3469642195046597e-05, + "loss": 0.7949, + "step": 2564 + }, + { + "epoch": 0.41, + "learning_rate": 1.346483594659361e-05, + "loss": 0.776, + "step": 2565 + }, + { + "epoch": 0.41, + "learning_rate": 1.3460028788395412e-05, + "loss": 0.8032, + "step": 2566 + }, + { + "epoch": 0.41, + "learning_rate": 1.345522072171419e-05, + "loss": 0.7386, + "step": 2567 + }, + { + "epoch": 0.41, + "learning_rate": 1.3450411747812374e-05, + "loss": 0.7578, + "step": 2568 + }, + { + "epoch": 0.41, + "learning_rate": 1.344560186795264e-05, + "loss": 0.7378, + "step": 2569 + }, + { + "epoch": 0.41, + "learning_rate": 1.3440791083397885e-05, + "loss": 0.7385, + "step": 2570 + }, + { + "epoch": 0.41, + "learning_rate": 1.343597939541126e-05, + "loss": 0.8025, + "step": 2571 + }, + { + "epoch": 0.41, + "learning_rate": 1.3431166805256145e-05, + "loss": 0.2923, + "step": 2572 + }, + { + "epoch": 0.41, + "learning_rate": 1.3426353314196159e-05, + "loss": 0.8218, + "step": 2573 + }, + { + "epoch": 0.41, + "learning_rate": 1.3421538923495156e-05, + "loss": 0.7478, + "step": 2574 + }, + { + "epoch": 0.41, + "learning_rate": 1.341672363441723e-05, + "loss": 0.7351, + "step": 2575 + }, + { + "epoch": 0.41, + "learning_rate": 1.3411907448226703e-05, + "loss": 0.2997, + "step": 2576 + }, + { + "epoch": 0.41, + "learning_rate": 1.3407090366188142e-05, + "loss": 0.7361, + "step": 2577 + }, + { + "epoch": 0.41, + "learning_rate": 1.3402272389566342e-05, + "loss": 0.783, + "step": 2578 + }, + { + "epoch": 0.41, + "learning_rate": 1.339745351962634e-05, + "loss": 0.7797, + "step": 2579 + }, + { + "epoch": 0.41, + "learning_rate": 1.3392633757633398e-05, + "loss": 0.7922, + "step": 2580 + }, + { + "epoch": 0.41, + "learning_rate": 1.3387813104853022e-05, + "loss": 0.7916, + "step": 2581 + }, + { + "epoch": 0.41, + "learning_rate": 1.3382991562550946e-05, + "loss": 0.2971, + "step": 2582 + }, + { + "epoch": 0.41, + "learning_rate": 1.337816913199314e-05, + "loss": 0.7844, + "step": 2583 + }, + { + "epoch": 0.41, + "learning_rate": 1.3373345814445803e-05, + "loss": 0.294, + "step": 2584 + }, + { + "epoch": 0.41, + "learning_rate": 1.3368521611175371e-05, + "loss": 0.3071, + "step": 2585 + }, + { + "epoch": 0.41, + "learning_rate": 1.3363696523448517e-05, + "loss": 0.7434, + "step": 2586 + }, + { + "epoch": 0.41, + "learning_rate": 1.3358870552532137e-05, + "loss": 0.7581, + "step": 2587 + }, + { + "epoch": 0.41, + "learning_rate": 1.335404369969336e-05, + "loss": 0.7822, + "step": 2588 + }, + { + "epoch": 0.41, + "learning_rate": 1.3349215966199553e-05, + "loss": 0.7615, + "step": 2589 + }, + { + "epoch": 0.41, + "learning_rate": 1.3344387353318311e-05, + "loss": 0.7188, + "step": 2590 + }, + { + "epoch": 0.41, + "learning_rate": 1.3339557862317461e-05, + "loss": 0.7338, + "step": 2591 + }, + { + "epoch": 0.41, + "learning_rate": 1.333472749446505e-05, + "loss": 0.7346, + "step": 2592 + }, + { + "epoch": 0.41, + "learning_rate": 1.3329896251029374e-05, + "loss": 0.8282, + "step": 2593 + }, + { + "epoch": 0.41, + "learning_rate": 1.3325064133278949e-05, + "loss": 0.8154, + "step": 2594 + }, + { + "epoch": 0.41, + "learning_rate": 1.3320231142482514e-05, + "loss": 0.2827, + "step": 2595 + }, + { + "epoch": 0.41, + "learning_rate": 1.3315397279909049e-05, + "loss": 0.738, + "step": 2596 + }, + { + "epoch": 0.41, + "learning_rate": 1.3310562546827757e-05, + "loss": 0.7756, + "step": 2597 + }, + { + "epoch": 0.41, + "learning_rate": 1.3305726944508069e-05, + "loss": 0.7351, + "step": 2598 + }, + { + "epoch": 0.41, + "learning_rate": 1.330089047421965e-05, + "loss": 0.7708, + "step": 2599 + }, + { + "epoch": 0.41, + "learning_rate": 1.3296053137232383e-05, + "loss": 0.77, + "step": 2600 + }, + { + "epoch": 0.41, + "learning_rate": 1.3291214934816385e-05, + "loss": 0.7262, + "step": 2601 + }, + { + "epoch": 0.41, + "learning_rate": 1.3286375868242005e-05, + "loss": 0.7656, + "step": 2602 + }, + { + "epoch": 0.41, + "learning_rate": 1.3281535938779808e-05, + "loss": 0.7529, + "step": 2603 + }, + { + "epoch": 0.41, + "learning_rate": 1.3276695147700593e-05, + "loss": 0.7233, + "step": 2604 + }, + { + "epoch": 0.41, + "learning_rate": 1.3271853496275381e-05, + "loss": 0.792, + "step": 2605 + }, + { + "epoch": 0.41, + "learning_rate": 1.3267010985775424e-05, + "loss": 0.7815, + "step": 2606 + }, + { + "epoch": 0.41, + "learning_rate": 1.3262167617472195e-05, + "loss": 0.7878, + "step": 2607 + }, + { + "epoch": 0.41, + "learning_rate": 1.3257323392637392e-05, + "loss": 0.7328, + "step": 2608 + }, + { + "epoch": 0.41, + "learning_rate": 1.325247831254294e-05, + "loss": 0.7922, + "step": 2609 + }, + { + "epoch": 0.41, + "learning_rate": 1.3247632378460995e-05, + "loss": 0.7947, + "step": 2610 + }, + { + "epoch": 0.41, + "learning_rate": 1.324278559166392e-05, + "loss": 0.7612, + "step": 2611 + }, + { + "epoch": 0.41, + "learning_rate": 1.3237937953424323e-05, + "loss": 0.7164, + "step": 2612 + }, + { + "epoch": 0.41, + "learning_rate": 1.3233089465015015e-05, + "loss": 0.7913, + "step": 2613 + }, + { + "epoch": 0.41, + "learning_rate": 1.3228240127709047e-05, + "loss": 0.7458, + "step": 2614 + }, + { + "epoch": 0.41, + "learning_rate": 1.3223389942779679e-05, + "loss": 0.7766, + "step": 2615 + }, + { + "epoch": 0.41, + "learning_rate": 1.3218538911500411e-05, + "loss": 0.7201, + "step": 2616 + }, + { + "epoch": 0.41, + "learning_rate": 1.3213687035144948e-05, + "loss": 0.7888, + "step": 2617 + }, + { + "epoch": 0.41, + "learning_rate": 1.3208834314987222e-05, + "loss": 0.7349, + "step": 2618 + }, + { + "epoch": 0.41, + "learning_rate": 1.3203980752301394e-05, + "loss": 0.8015, + "step": 2619 + }, + { + "epoch": 0.41, + "learning_rate": 1.3199126348361835e-05, + "loss": 0.7439, + "step": 2620 + }, + { + "epoch": 0.41, + "learning_rate": 1.3194271104443146e-05, + "loss": 0.7528, + "step": 2621 + }, + { + "epoch": 0.41, + "learning_rate": 1.3189415021820145e-05, + "loss": 0.7495, + "step": 2622 + }, + { + "epoch": 0.41, + "learning_rate": 1.3184558101767869e-05, + "loss": 0.7142, + "step": 2623 + }, + { + "epoch": 0.42, + "learning_rate": 1.3179700345561575e-05, + "loss": 0.7587, + "step": 2624 + }, + { + "epoch": 0.42, + "learning_rate": 1.3174841754476737e-05, + "loss": 0.7279, + "step": 2625 + }, + { + "epoch": 0.42, + "learning_rate": 1.3169982329789061e-05, + "loss": 0.7404, + "step": 2626 + }, + { + "epoch": 0.42, + "learning_rate": 1.3165122072774459e-05, + "loss": 0.7222, + "step": 2627 + }, + { + "epoch": 0.42, + "learning_rate": 1.3160260984709061e-05, + "loss": 0.7983, + "step": 2628 + }, + { + "epoch": 0.42, + "learning_rate": 1.3155399066869223e-05, + "loss": 0.7354, + "step": 2629 + }, + { + "epoch": 0.42, + "learning_rate": 1.3150536320531517e-05, + "loss": 0.7119, + "step": 2630 + }, + { + "epoch": 0.42, + "learning_rate": 1.3145672746972727e-05, + "loss": 0.7238, + "step": 2631 + }, + { + "epoch": 0.42, + "learning_rate": 1.3140808347469857e-05, + "loss": 0.791, + "step": 2632 + }, + { + "epoch": 0.42, + "learning_rate": 1.3135943123300135e-05, + "loss": 0.7722, + "step": 2633 + }, + { + "epoch": 0.42, + "learning_rate": 1.3131077075740994e-05, + "loss": 0.7195, + "step": 2634 + }, + { + "epoch": 0.42, + "learning_rate": 1.3126210206070091e-05, + "loss": 0.7483, + "step": 2635 + }, + { + "epoch": 0.42, + "learning_rate": 1.3121342515565295e-05, + "loss": 0.792, + "step": 2636 + }, + { + "epoch": 0.42, + "learning_rate": 1.3116474005504692e-05, + "loss": 0.7759, + "step": 2637 + }, + { + "epoch": 0.42, + "learning_rate": 1.3111604677166586e-05, + "loss": 0.2963, + "step": 2638 + }, + { + "epoch": 0.42, + "learning_rate": 1.3106734531829486e-05, + "loss": 0.76, + "step": 2639 + }, + { + "epoch": 0.42, + "learning_rate": 1.3101863570772133e-05, + "loss": 0.7911, + "step": 2640 + }, + { + "epoch": 0.42, + "learning_rate": 1.3096991795273463e-05, + "loss": 0.7194, + "step": 2641 + }, + { + "epoch": 0.42, + "learning_rate": 1.3092119206612637e-05, + "loss": 0.7712, + "step": 2642 + }, + { + "epoch": 0.42, + "learning_rate": 1.3087245806069028e-05, + "loss": 0.6995, + "step": 2643 + }, + { + "epoch": 0.42, + "learning_rate": 1.3082371594922221e-05, + "loss": 0.7773, + "step": 2644 + }, + { + "epoch": 0.42, + "learning_rate": 1.3077496574452013e-05, + "loss": 0.7831, + "step": 2645 + }, + { + "epoch": 0.42, + "learning_rate": 1.3072620745938419e-05, + "loss": 0.7566, + "step": 2646 + }, + { + "epoch": 0.42, + "learning_rate": 1.3067744110661653e-05, + "loss": 0.7266, + "step": 2647 + }, + { + "epoch": 0.42, + "learning_rate": 1.3062866669902156e-05, + "loss": 0.8298, + "step": 2648 + }, + { + "epoch": 0.42, + "learning_rate": 1.3057988424940573e-05, + "loss": 0.7583, + "step": 2649 + }, + { + "epoch": 0.42, + "learning_rate": 1.3053109377057762e-05, + "loss": 0.6854, + "step": 2650 + }, + { + "epoch": 0.42, + "learning_rate": 1.3048229527534789e-05, + "loss": 0.7683, + "step": 2651 + }, + { + "epoch": 0.42, + "learning_rate": 1.3043348877652933e-05, + "loss": 0.7727, + "step": 2652 + }, + { + "epoch": 0.42, + "learning_rate": 1.3038467428693682e-05, + "loss": 0.6718, + "step": 2653 + }, + { + "epoch": 0.42, + "learning_rate": 1.3033585181938736e-05, + "loss": 0.7915, + "step": 2654 + }, + { + "epoch": 0.42, + "learning_rate": 1.302870213867e-05, + "loss": 0.7865, + "step": 2655 + }, + { + "epoch": 0.42, + "learning_rate": 1.3023818300169598e-05, + "loss": 0.792, + "step": 2656 + }, + { + "epoch": 0.42, + "learning_rate": 1.3018933667719847e-05, + "loss": 0.7283, + "step": 2657 + }, + { + "epoch": 0.42, + "learning_rate": 1.3014048242603288e-05, + "loss": 0.7249, + "step": 2658 + }, + { + "epoch": 0.42, + "learning_rate": 1.300916202610266e-05, + "loss": 0.7886, + "step": 2659 + }, + { + "epoch": 0.42, + "learning_rate": 1.3004275019500914e-05, + "loss": 0.7485, + "step": 2660 + }, + { + "epoch": 0.42, + "learning_rate": 1.2999387224081208e-05, + "loss": 0.7456, + "step": 2661 + }, + { + "epoch": 0.42, + "learning_rate": 1.2994498641126905e-05, + "loss": 0.7194, + "step": 2662 + }, + { + "epoch": 0.42, + "learning_rate": 1.2989609271921579e-05, + "loss": 0.726, + "step": 2663 + }, + { + "epoch": 0.42, + "learning_rate": 1.298471911774901e-05, + "loss": 0.7458, + "step": 2664 + }, + { + "epoch": 0.42, + "learning_rate": 1.2979828179893175e-05, + "loss": 0.7582, + "step": 2665 + }, + { + "epoch": 0.42, + "learning_rate": 1.2974936459638272e-05, + "loss": 0.7682, + "step": 2666 + }, + { + "epoch": 0.42, + "learning_rate": 1.297004395826869e-05, + "loss": 0.7048, + "step": 2667 + }, + { + "epoch": 0.42, + "learning_rate": 1.2965150677069031e-05, + "loss": 0.7041, + "step": 2668 + }, + { + "epoch": 0.42, + "learning_rate": 1.2960256617324105e-05, + "loss": 0.8049, + "step": 2669 + }, + { + "epoch": 0.42, + "learning_rate": 1.2955361780318916e-05, + "loss": 0.8071, + "step": 2670 + }, + { + "epoch": 0.42, + "learning_rate": 1.295046616733868e-05, + "loss": 0.7847, + "step": 2671 + }, + { + "epoch": 0.42, + "learning_rate": 1.294556977966881e-05, + "loss": 0.6638, + "step": 2672 + }, + { + "epoch": 0.42, + "learning_rate": 1.2940672618594934e-05, + "loss": 0.751, + "step": 2673 + }, + { + "epoch": 0.42, + "learning_rate": 1.2935774685402874e-05, + "loss": 0.7944, + "step": 2674 + }, + { + "epoch": 0.42, + "learning_rate": 1.2930875981378653e-05, + "loss": 0.7061, + "step": 2675 + }, + { + "epoch": 0.42, + "learning_rate": 1.2925976507808502e-05, + "loss": 0.7881, + "step": 2676 + }, + { + "epoch": 0.42, + "learning_rate": 1.2921076265978854e-05, + "loss": 0.699, + "step": 2677 + }, + { + "epoch": 0.42, + "learning_rate": 1.291617525717634e-05, + "loss": 0.7566, + "step": 2678 + }, + { + "epoch": 0.42, + "learning_rate": 1.2911273482687789e-05, + "loss": 0.7736, + "step": 2679 + }, + { + "epoch": 0.42, + "learning_rate": 1.2906370943800246e-05, + "loss": 0.7448, + "step": 2680 + }, + { + "epoch": 0.42, + "learning_rate": 1.2901467641800945e-05, + "loss": 0.7208, + "step": 2681 + }, + { + "epoch": 0.42, + "learning_rate": 1.2896563577977314e-05, + "loss": 0.7566, + "step": 2682 + }, + { + "epoch": 0.42, + "learning_rate": 1.2891658753617e-05, + "loss": 0.7477, + "step": 2683 + }, + { + "epoch": 0.42, + "learning_rate": 1.288675317000783e-05, + "loss": 0.7446, + "step": 2684 + }, + { + "epoch": 0.42, + "learning_rate": 1.2881846828437847e-05, + "loss": 0.3371, + "step": 2685 + }, + { + "epoch": 0.42, + "learning_rate": 1.2876939730195278e-05, + "loss": 0.6998, + "step": 2686 + }, + { + "epoch": 0.43, + "learning_rate": 1.2872031876568562e-05, + "loss": 0.7866, + "step": 2687 + }, + { + "epoch": 0.43, + "learning_rate": 1.2867123268846328e-05, + "loss": 0.7505, + "step": 2688 + }, + { + "epoch": 0.43, + "learning_rate": 1.2862213908317405e-05, + "loss": 0.7224, + "step": 2689 + }, + { + "epoch": 0.43, + "learning_rate": 1.2857303796270821e-05, + "loss": 0.6875, + "step": 2690 + }, + { + "epoch": 0.43, + "learning_rate": 1.2852392933995801e-05, + "loss": 0.7819, + "step": 2691 + }, + { + "epoch": 0.43, + "learning_rate": 1.2847481322781766e-05, + "loss": 0.8149, + "step": 2692 + }, + { + "epoch": 0.43, + "learning_rate": 1.284256896391833e-05, + "loss": 0.71, + "step": 2693 + }, + { + "epoch": 0.43, + "learning_rate": 1.2837655858695313e-05, + "loss": 0.7732, + "step": 2694 + }, + { + "epoch": 0.43, + "learning_rate": 1.2832742008402721e-05, + "loss": 0.8013, + "step": 2695 + }, + { + "epoch": 0.43, + "learning_rate": 1.2827827414330762e-05, + "loss": 0.7461, + "step": 2696 + }, + { + "epoch": 0.43, + "learning_rate": 1.2822912077769839e-05, + "loss": 0.7534, + "step": 2697 + }, + { + "epoch": 0.43, + "learning_rate": 1.2817996000010546e-05, + "loss": 0.7644, + "step": 2698 + }, + { + "epoch": 0.43, + "learning_rate": 1.2813079182343673e-05, + "loss": 0.7856, + "step": 2699 + }, + { + "epoch": 0.43, + "learning_rate": 1.2808161626060205e-05, + "loss": 0.6692, + "step": 2700 + }, + { + "epoch": 0.43, + "learning_rate": 1.2803243332451323e-05, + "loss": 0.7292, + "step": 2701 + }, + { + "epoch": 0.43, + "learning_rate": 1.2798324302808398e-05, + "loss": 0.7761, + "step": 2702 + }, + { + "epoch": 0.43, + "learning_rate": 1.2793404538422998e-05, + "loss": 0.3034, + "step": 2703 + }, + { + "epoch": 0.43, + "learning_rate": 1.2788484040586877e-05, + "loss": 0.7859, + "step": 2704 + }, + { + "epoch": 0.43, + "learning_rate": 1.2783562810591994e-05, + "loss": 0.7349, + "step": 2705 + }, + { + "epoch": 0.43, + "learning_rate": 1.2778640849730484e-05, + "loss": 0.7889, + "step": 2706 + }, + { + "epoch": 0.43, + "learning_rate": 1.2773718159294685e-05, + "loss": 0.7371, + "step": 2707 + }, + { + "epoch": 0.43, + "learning_rate": 1.2768794740577129e-05, + "loss": 0.8005, + "step": 2708 + }, + { + "epoch": 0.43, + "learning_rate": 1.2763870594870529e-05, + "loss": 0.791, + "step": 2709 + }, + { + "epoch": 0.43, + "learning_rate": 1.2758945723467795e-05, + "loss": 0.72, + "step": 2710 + }, + { + "epoch": 0.43, + "learning_rate": 1.275402012766203e-05, + "loss": 0.8186, + "step": 2711 + }, + { + "epoch": 0.43, + "learning_rate": 1.274909380874652e-05, + "loss": 0.7102, + "step": 2712 + }, + { + "epoch": 0.43, + "learning_rate": 1.2744166768014746e-05, + "loss": 0.7244, + "step": 2713 + }, + { + "epoch": 0.43, + "learning_rate": 1.2739239006760378e-05, + "loss": 0.7598, + "step": 2714 + }, + { + "epoch": 0.43, + "learning_rate": 1.273431052627727e-05, + "loss": 0.679, + "step": 2715 + }, + { + "epoch": 0.43, + "learning_rate": 1.2729381327859476e-05, + "loss": 0.7123, + "step": 2716 + }, + { + "epoch": 0.43, + "learning_rate": 1.2724451412801232e-05, + "loss": 0.7557, + "step": 2717 + }, + { + "epoch": 0.43, + "learning_rate": 1.2719520782396955e-05, + "loss": 0.7673, + "step": 2718 + }, + { + "epoch": 0.43, + "learning_rate": 1.2714589437941257e-05, + "loss": 0.7244, + "step": 2719 + }, + { + "epoch": 0.43, + "learning_rate": 1.2709657380728943e-05, + "loss": 0.8101, + "step": 2720 + }, + { + "epoch": 0.43, + "learning_rate": 1.2704724612054999e-05, + "loss": 0.7126, + "step": 2721 + }, + { + "epoch": 0.43, + "learning_rate": 1.2699791133214597e-05, + "loss": 0.761, + "step": 2722 + }, + { + "epoch": 0.43, + "learning_rate": 1.2694856945503096e-05, + "loss": 0.7188, + "step": 2723 + }, + { + "epoch": 0.43, + "learning_rate": 1.2689922050216042e-05, + "loss": 0.7803, + "step": 2724 + }, + { + "epoch": 0.43, + "learning_rate": 1.2684986448649164e-05, + "loss": 0.7456, + "step": 2725 + }, + { + "epoch": 0.43, + "learning_rate": 1.2680050142098382e-05, + "loss": 0.7803, + "step": 2726 + }, + { + "epoch": 0.43, + "learning_rate": 1.2675113131859798e-05, + "loss": 0.7673, + "step": 2727 + }, + { + "epoch": 0.43, + "learning_rate": 1.26701754192297e-05, + "loss": 0.7529, + "step": 2728 + }, + { + "epoch": 0.43, + "learning_rate": 1.2665237005504554e-05, + "loss": 0.745, + "step": 2729 + }, + { + "epoch": 0.43, + "learning_rate": 1.2660297891981022e-05, + "loss": 0.6816, + "step": 2730 + }, + { + "epoch": 0.43, + "learning_rate": 1.265535807995594e-05, + "loss": 0.7495, + "step": 2731 + }, + { + "epoch": 0.43, + "learning_rate": 1.2650417570726332e-05, + "loss": 0.8169, + "step": 2732 + }, + { + "epoch": 0.43, + "learning_rate": 1.26454763655894e-05, + "loss": 0.7734, + "step": 2733 + }, + { + "epoch": 0.43, + "learning_rate": 1.2640534465842537e-05, + "loss": 0.7429, + "step": 2734 + }, + { + "epoch": 0.43, + "learning_rate": 1.263559187278331e-05, + "loss": 0.78, + "step": 2735 + }, + { + "epoch": 0.43, + "learning_rate": 1.2630648587709474e-05, + "loss": 0.792, + "step": 2736 + }, + { + "epoch": 0.43, + "learning_rate": 1.2625704611918964e-05, + "loss": 0.7281, + "step": 2737 + }, + { + "epoch": 0.43, + "learning_rate": 1.2620759946709893e-05, + "loss": 0.7233, + "step": 2738 + }, + { + "epoch": 0.43, + "learning_rate": 1.261581459338056e-05, + "loss": 0.7512, + "step": 2739 + }, + { + "epoch": 0.43, + "learning_rate": 1.2610868553229443e-05, + "loss": 0.7412, + "step": 2740 + }, + { + "epoch": 0.43, + "learning_rate": 1.2605921827555196e-05, + "loss": 0.7844, + "step": 2741 + }, + { + "epoch": 0.43, + "learning_rate": 1.2600974417656661e-05, + "loss": 0.7622, + "step": 2742 + }, + { + "epoch": 0.43, + "learning_rate": 1.2596026324832853e-05, + "loss": 0.8069, + "step": 2743 + }, + { + "epoch": 0.43, + "learning_rate": 1.259107755038297e-05, + "loss": 0.7288, + "step": 2744 + }, + { + "epoch": 0.43, + "learning_rate": 1.2586128095606389e-05, + "loss": 0.7864, + "step": 2745 + }, + { + "epoch": 0.43, + "learning_rate": 1.2581177961802664e-05, + "loss": 0.7635, + "step": 2746 + }, + { + "epoch": 0.43, + "learning_rate": 1.2576227150271524e-05, + "loss": 0.7202, + "step": 2747 + }, + { + "epoch": 0.43, + "learning_rate": 1.2571275662312886e-05, + "loss": 0.7803, + "step": 2748 + }, + { + "epoch": 0.43, + "learning_rate": 1.2566323499226831e-05, + "loss": 0.7522, + "step": 2749 + }, + { + "epoch": 0.44, + "learning_rate": 1.256137066231363e-05, + "loss": 0.7395, + "step": 2750 + }, + { + "epoch": 0.44, + "learning_rate": 1.2556417152873723e-05, + "loss": 0.8171, + "step": 2751 + }, + { + "epoch": 0.44, + "learning_rate": 1.2551462972207731e-05, + "loss": 0.7697, + "step": 2752 + }, + { + "epoch": 0.44, + "learning_rate": 1.2546508121616445e-05, + "loss": 0.7191, + "step": 2753 + }, + { + "epoch": 0.44, + "learning_rate": 1.2541552602400839e-05, + "loss": 0.719, + "step": 2754 + }, + { + "epoch": 0.44, + "learning_rate": 1.253659641586206e-05, + "loss": 0.7437, + "step": 2755 + }, + { + "epoch": 0.44, + "learning_rate": 1.253163956330143e-05, + "loss": 0.7246, + "step": 2756 + }, + { + "epoch": 0.44, + "learning_rate": 1.2526682046020446e-05, + "loss": 0.8047, + "step": 2757 + }, + { + "epoch": 0.44, + "learning_rate": 1.2521723865320784e-05, + "loss": 0.7781, + "step": 2758 + }, + { + "epoch": 0.44, + "learning_rate": 1.2516765022504277e-05, + "loss": 0.7474, + "step": 2759 + }, + { + "epoch": 0.44, + "learning_rate": 1.2511805518872952e-05, + "loss": 0.7786, + "step": 2760 + }, + { + "epoch": 0.44, + "learning_rate": 1.2506845355729003e-05, + "loss": 0.761, + "step": 2761 + }, + { + "epoch": 0.44, + "learning_rate": 1.2501884534374795e-05, + "loss": 0.7378, + "step": 2762 + }, + { + "epoch": 0.44, + "learning_rate": 1.2496923056112863e-05, + "loss": 0.7532, + "step": 2763 + }, + { + "epoch": 0.44, + "learning_rate": 1.2491960922245928e-05, + "loss": 0.803, + "step": 2764 + }, + { + "epoch": 0.44, + "learning_rate": 1.2486998134076864e-05, + "loss": 0.7913, + "step": 2765 + }, + { + "epoch": 0.44, + "learning_rate": 1.2482034692908726e-05, + "loss": 0.71, + "step": 2766 + }, + { + "epoch": 0.44, + "learning_rate": 1.247707060004475e-05, + "loss": 0.7305, + "step": 2767 + }, + { + "epoch": 0.44, + "learning_rate": 1.2472105856788326e-05, + "loss": 0.6675, + "step": 2768 + }, + { + "epoch": 0.44, + "learning_rate": 1.2467140464443026e-05, + "loss": 0.8074, + "step": 2769 + }, + { + "epoch": 0.44, + "learning_rate": 1.2462174424312586e-05, + "loss": 0.7391, + "step": 2770 + }, + { + "epoch": 0.44, + "learning_rate": 1.2457207737700918e-05, + "loss": 0.7469, + "step": 2771 + }, + { + "epoch": 0.44, + "learning_rate": 1.2452240405912099e-05, + "loss": 0.7769, + "step": 2772 + }, + { + "epoch": 0.44, + "learning_rate": 1.2447272430250377e-05, + "loss": 0.8098, + "step": 2773 + }, + { + "epoch": 0.44, + "learning_rate": 1.244230381202017e-05, + "loss": 0.7504, + "step": 2774 + }, + { + "epoch": 0.44, + "learning_rate": 1.2437334552526068e-05, + "loss": 0.813, + "step": 2775 + }, + { + "epoch": 0.44, + "learning_rate": 1.2432364653072822e-05, + "loss": 0.7581, + "step": 2776 + }, + { + "epoch": 0.44, + "learning_rate": 1.2427394114965352e-05, + "loss": 0.7637, + "step": 2777 + }, + { + "epoch": 0.44, + "learning_rate": 1.2422422939508752e-05, + "loss": 0.7209, + "step": 2778 + }, + { + "epoch": 0.44, + "learning_rate": 1.2417451128008276e-05, + "loss": 0.729, + "step": 2779 + }, + { + "epoch": 0.44, + "learning_rate": 1.2412478681769348e-05, + "loss": 0.7214, + "step": 2780 + }, + { + "epoch": 0.44, + "learning_rate": 1.240750560209757e-05, + "loss": 0.7369, + "step": 2781 + }, + { + "epoch": 0.44, + "learning_rate": 1.2402531890298686e-05, + "loss": 0.7571, + "step": 2782 + }, + { + "epoch": 0.44, + "learning_rate": 1.2397557547678622e-05, + "loss": 0.7089, + "step": 2783 + }, + { + "epoch": 0.44, + "learning_rate": 1.2392582575543475e-05, + "loss": 0.7712, + "step": 2784 + }, + { + "epoch": 0.44, + "learning_rate": 1.2387606975199491e-05, + "loss": 0.7665, + "step": 2785 + }, + { + "epoch": 0.44, + "learning_rate": 1.2382630747953096e-05, + "loss": 0.7751, + "step": 2786 + }, + { + "epoch": 0.44, + "learning_rate": 1.2377653895110866e-05, + "loss": 0.7063, + "step": 2787 + }, + { + "epoch": 0.44, + "learning_rate": 1.2372676417979555e-05, + "loss": 0.7981, + "step": 2788 + }, + { + "epoch": 0.44, + "learning_rate": 1.2367698317866074e-05, + "loss": 0.7574, + "step": 2789 + }, + { + "epoch": 0.44, + "learning_rate": 1.2362719596077495e-05, + "loss": 0.7935, + "step": 2790 + }, + { + "epoch": 0.44, + "learning_rate": 1.2357740253921065e-05, + "loss": 0.7511, + "step": 2791 + }, + { + "epoch": 0.44, + "learning_rate": 1.2352760292704178e-05, + "loss": 0.7756, + "step": 2792 + }, + { + "epoch": 0.44, + "learning_rate": 1.2347779713734403e-05, + "loss": 0.7048, + "step": 2793 + }, + { + "epoch": 0.44, + "learning_rate": 1.2342798518319463e-05, + "loss": 0.7791, + "step": 2794 + }, + { + "epoch": 0.44, + "learning_rate": 1.2337816707767249e-05, + "loss": 0.7321, + "step": 2795 + }, + { + "epoch": 0.44, + "learning_rate": 1.233283428338581e-05, + "loss": 0.7324, + "step": 2796 + }, + { + "epoch": 0.44, + "learning_rate": 1.2327851246483356e-05, + "loss": 0.7118, + "step": 2797 + }, + { + "epoch": 0.44, + "learning_rate": 1.232286759836826e-05, + "loss": 0.7228, + "step": 2798 + }, + { + "epoch": 0.44, + "learning_rate": 1.231788334034906e-05, + "loss": 0.7756, + "step": 2799 + }, + { + "epoch": 0.44, + "learning_rate": 1.2312898473734436e-05, + "loss": 0.7988, + "step": 2800 + }, + { + "epoch": 0.44, + "learning_rate": 1.230791299983325e-05, + "loss": 0.7817, + "step": 2801 + }, + { + "epoch": 0.44, + "learning_rate": 1.230292691995451e-05, + "loss": 0.8264, + "step": 2802 + }, + { + "epoch": 0.44, + "learning_rate": 1.2297940235407389e-05, + "loss": 0.7732, + "step": 2803 + }, + { + "epoch": 0.44, + "learning_rate": 1.2292952947501214e-05, + "loss": 0.7913, + "step": 2804 + }, + { + "epoch": 0.44, + "learning_rate": 1.2287965057545476e-05, + "loss": 0.7729, + "step": 2805 + }, + { + "epoch": 0.44, + "learning_rate": 1.228297656684982e-05, + "loss": 0.7357, + "step": 2806 + }, + { + "epoch": 0.44, + "learning_rate": 1.2277987476724047e-05, + "loss": 0.7355, + "step": 2807 + }, + { + "epoch": 0.44, + "learning_rate": 1.2272997788478123e-05, + "loss": 0.7625, + "step": 2808 + }, + { + "epoch": 0.44, + "learning_rate": 1.2268007503422163e-05, + "loss": 0.8015, + "step": 2809 + }, + { + "epoch": 0.44, + "learning_rate": 1.2263016622866443e-05, + "loss": 0.6937, + "step": 2810 + }, + { + "epoch": 0.44, + "learning_rate": 1.2258025148121399e-05, + "loss": 0.7844, + "step": 2811 + }, + { + "epoch": 0.44, + "learning_rate": 1.2253033080497611e-05, + "loss": 0.7314, + "step": 2812 + }, + { + "epoch": 0.45, + "learning_rate": 1.2248040421305822e-05, + "loss": 0.3055, + "step": 2813 + }, + { + "epoch": 0.45, + "learning_rate": 1.2243047171856937e-05, + "loss": 0.6753, + "step": 2814 + }, + { + "epoch": 0.45, + "learning_rate": 1.2238053333462006e-05, + "loss": 0.7222, + "step": 2815 + }, + { + "epoch": 0.45, + "learning_rate": 1.2233058907432234e-05, + "loss": 0.8066, + "step": 2816 + }, + { + "epoch": 0.45, + "learning_rate": 1.2228063895078988e-05, + "loss": 0.7057, + "step": 2817 + }, + { + "epoch": 0.45, + "learning_rate": 1.222306829771378e-05, + "loss": 0.804, + "step": 2818 + }, + { + "epoch": 0.45, + "learning_rate": 1.2218072116648286e-05, + "loss": 0.7678, + "step": 2819 + }, + { + "epoch": 0.45, + "learning_rate": 1.221307535319432e-05, + "loss": 0.7397, + "step": 2820 + }, + { + "epoch": 0.45, + "learning_rate": 1.2208078008663865e-05, + "loss": 0.7725, + "step": 2821 + }, + { + "epoch": 0.45, + "learning_rate": 1.220308008436905e-05, + "loss": 0.7825, + "step": 2822 + }, + { + "epoch": 0.45, + "learning_rate": 1.2198081581622152e-05, + "loss": 0.8027, + "step": 2823 + }, + { + "epoch": 0.45, + "learning_rate": 1.2193082501735605e-05, + "loss": 0.6921, + "step": 2824 + }, + { + "epoch": 0.45, + "learning_rate": 1.2188082846021993e-05, + "loss": 0.2978, + "step": 2825 + }, + { + "epoch": 0.45, + "learning_rate": 1.2183082615794053e-05, + "loss": 0.7185, + "step": 2826 + }, + { + "epoch": 0.45, + "learning_rate": 1.2178081812364669e-05, + "loss": 0.7098, + "step": 2827 + }, + { + "epoch": 0.45, + "learning_rate": 1.217308043704688e-05, + "loss": 0.7383, + "step": 2828 + }, + { + "epoch": 0.45, + "learning_rate": 1.2168078491153873e-05, + "loss": 0.7576, + "step": 2829 + }, + { + "epoch": 0.45, + "learning_rate": 1.216307597599898e-05, + "loss": 0.7522, + "step": 2830 + }, + { + "epoch": 0.45, + "learning_rate": 1.2158072892895693e-05, + "loss": 0.7389, + "step": 2831 + }, + { + "epoch": 0.45, + "learning_rate": 1.2153069243157644e-05, + "loss": 0.7784, + "step": 2832 + }, + { + "epoch": 0.45, + "learning_rate": 1.2148065028098621e-05, + "loss": 0.7456, + "step": 2833 + }, + { + "epoch": 0.45, + "learning_rate": 1.2143060249032551e-05, + "loss": 0.7666, + "step": 2834 + }, + { + "epoch": 0.45, + "learning_rate": 1.213805490727352e-05, + "loss": 0.7908, + "step": 2835 + }, + { + "epoch": 0.45, + "learning_rate": 1.2133049004135753e-05, + "loss": 0.7407, + "step": 2836 + }, + { + "epoch": 0.45, + "learning_rate": 1.2128042540933622e-05, + "loss": 0.762, + "step": 2837 + }, + { + "epoch": 0.45, + "learning_rate": 1.2123035518981659e-05, + "loss": 0.7632, + "step": 2838 + }, + { + "epoch": 0.45, + "learning_rate": 1.2118027939594528e-05, + "loss": 0.2781, + "step": 2839 + }, + { + "epoch": 0.45, + "learning_rate": 1.2113019804087045e-05, + "loss": 0.7891, + "step": 2840 + }, + { + "epoch": 0.45, + "learning_rate": 1.2108011113774174e-05, + "loss": 0.78, + "step": 2841 + }, + { + "epoch": 0.45, + "learning_rate": 1.210300186997102e-05, + "loss": 0.761, + "step": 2842 + }, + { + "epoch": 0.45, + "learning_rate": 1.2097992073992839e-05, + "loss": 0.7965, + "step": 2843 + }, + { + "epoch": 0.45, + "learning_rate": 1.2092981727155024e-05, + "loss": 0.7498, + "step": 2844 + }, + { + "epoch": 0.45, + "learning_rate": 1.2087970830773123e-05, + "loss": 0.6998, + "step": 2845 + }, + { + "epoch": 0.45, + "learning_rate": 1.2082959386162823e-05, + "loss": 0.6851, + "step": 2846 + }, + { + "epoch": 0.45, + "learning_rate": 1.2077947394639947e-05, + "loss": 0.7069, + "step": 2847 + }, + { + "epoch": 0.45, + "learning_rate": 1.2072934857520478e-05, + "loss": 0.2676, + "step": 2848 + }, + { + "epoch": 0.45, + "learning_rate": 1.2067921776120529e-05, + "loss": 0.7195, + "step": 2849 + }, + { + "epoch": 0.45, + "learning_rate": 1.206290815175636e-05, + "loss": 0.7446, + "step": 2850 + }, + { + "epoch": 0.45, + "learning_rate": 1.2057893985744378e-05, + "loss": 0.7565, + "step": 2851 + }, + { + "epoch": 0.45, + "learning_rate": 1.2052879279401128e-05, + "loss": 0.7397, + "step": 2852 + }, + { + "epoch": 0.45, + "learning_rate": 1.2047864034043293e-05, + "loss": 0.7716, + "step": 2853 + }, + { + "epoch": 0.45, + "learning_rate": 1.2042848250987703e-05, + "loss": 0.7773, + "step": 2854 + }, + { + "epoch": 0.45, + "learning_rate": 1.2037831931551331e-05, + "loss": 0.7598, + "step": 2855 + }, + { + "epoch": 0.45, + "learning_rate": 1.2032815077051286e-05, + "loss": 0.7371, + "step": 2856 + }, + { + "epoch": 0.45, + "learning_rate": 1.2027797688804816e-05, + "loss": 0.7048, + "step": 2857 + }, + { + "epoch": 0.45, + "learning_rate": 1.202277976812932e-05, + "loss": 0.7485, + "step": 2858 + }, + { + "epoch": 0.45, + "learning_rate": 1.201776131634232e-05, + "loss": 0.7297, + "step": 2859 + }, + { + "epoch": 0.45, + "learning_rate": 1.2012742334761494e-05, + "loss": 0.7722, + "step": 2860 + }, + { + "epoch": 0.45, + "learning_rate": 1.2007722824704646e-05, + "loss": 0.7227, + "step": 2861 + }, + { + "epoch": 0.45, + "learning_rate": 1.2002702787489728e-05, + "loss": 0.74, + "step": 2862 + }, + { + "epoch": 0.45, + "learning_rate": 1.1997682224434828e-05, + "loss": 0.7695, + "step": 2863 + }, + { + "epoch": 0.45, + "learning_rate": 1.199266113685817e-05, + "loss": 0.7332, + "step": 2864 + }, + { + "epoch": 0.45, + "learning_rate": 1.1987639526078115e-05, + "loss": 0.7292, + "step": 2865 + }, + { + "epoch": 0.45, + "learning_rate": 1.198261739341316e-05, + "loss": 0.7712, + "step": 2866 + }, + { + "epoch": 0.45, + "learning_rate": 1.1977594740181949e-05, + "loss": 0.7404, + "step": 2867 + }, + { + "epoch": 0.45, + "learning_rate": 1.1972571567703254e-05, + "loss": 0.7388, + "step": 2868 + }, + { + "epoch": 0.45, + "learning_rate": 1.196754787729598e-05, + "loss": 0.8, + "step": 2869 + }, + { + "epoch": 0.45, + "learning_rate": 1.196252367027918e-05, + "loss": 0.7517, + "step": 2870 + }, + { + "epoch": 0.45, + "learning_rate": 1.1957498947972032e-05, + "loss": 0.7917, + "step": 2871 + }, + { + "epoch": 0.45, + "learning_rate": 1.1952473711693852e-05, + "loss": 0.7839, + "step": 2872 + }, + { + "epoch": 0.45, + "learning_rate": 1.1947447962764096e-05, + "loss": 0.7493, + "step": 2873 + }, + { + "epoch": 0.45, + "learning_rate": 1.1942421702502347e-05, + "loss": 0.7228, + "step": 2874 + }, + { + "epoch": 0.45, + "learning_rate": 1.1937394932228328e-05, + "loss": 0.7467, + "step": 2875 + }, + { + "epoch": 0.45, + "learning_rate": 1.1932367653261893e-05, + "loss": 0.7164, + "step": 2876 + }, + { + "epoch": 0.46, + "learning_rate": 1.1927339866923026e-05, + "loss": 0.7096, + "step": 2877 + }, + { + "epoch": 0.46, + "learning_rate": 1.1922311574531858e-05, + "loss": 0.8008, + "step": 2878 + }, + { + "epoch": 0.46, + "learning_rate": 1.1917282777408636e-05, + "loss": 0.7141, + "step": 2879 + }, + { + "epoch": 0.46, + "learning_rate": 1.191225347687375e-05, + "loss": 0.7672, + "step": 2880 + }, + { + "epoch": 0.46, + "learning_rate": 1.1907223674247714e-05, + "loss": 0.7024, + "step": 2881 + }, + { + "epoch": 0.46, + "learning_rate": 1.1902193370851189e-05, + "loss": 0.7991, + "step": 2882 + }, + { + "epoch": 0.46, + "learning_rate": 1.189716256800495e-05, + "loss": 0.7825, + "step": 2883 + }, + { + "epoch": 0.46, + "learning_rate": 1.1892131267029909e-05, + "loss": 0.7688, + "step": 2884 + }, + { + "epoch": 0.46, + "learning_rate": 1.1887099469247114e-05, + "loss": 0.7056, + "step": 2885 + }, + { + "epoch": 0.46, + "learning_rate": 1.1882067175977743e-05, + "loss": 0.7861, + "step": 2886 + }, + { + "epoch": 0.46, + "learning_rate": 1.1877034388543094e-05, + "loss": 0.7542, + "step": 2887 + }, + { + "epoch": 0.46, + "learning_rate": 1.1872001108264606e-05, + "loss": 0.8003, + "step": 2888 + }, + { + "epoch": 0.46, + "learning_rate": 1.1866967336463841e-05, + "loss": 0.316, + "step": 2889 + }, + { + "epoch": 0.46, + "learning_rate": 1.1861933074462495e-05, + "loss": 0.6803, + "step": 2890 + }, + { + "epoch": 0.46, + "learning_rate": 1.1856898323582384e-05, + "loss": 0.7632, + "step": 2891 + }, + { + "epoch": 0.46, + "learning_rate": 1.1851863085145462e-05, + "loss": 0.7698, + "step": 2892 + }, + { + "epoch": 0.46, + "learning_rate": 1.1846827360473814e-05, + "loss": 0.7629, + "step": 2893 + }, + { + "epoch": 0.46, + "learning_rate": 1.1841791150889632e-05, + "loss": 0.7854, + "step": 2894 + }, + { + "epoch": 0.46, + "learning_rate": 1.183675445771526e-05, + "loss": 0.759, + "step": 2895 + }, + { + "epoch": 0.46, + "learning_rate": 1.1831717282273152e-05, + "loss": 0.7283, + "step": 2896 + }, + { + "epoch": 0.46, + "learning_rate": 1.18266796258859e-05, + "loss": 0.7256, + "step": 2897 + }, + { + "epoch": 0.46, + "learning_rate": 1.182164148987621e-05, + "loss": 0.7112, + "step": 2898 + }, + { + "epoch": 0.46, + "learning_rate": 1.181660287556693e-05, + "loss": 0.7192, + "step": 2899 + }, + { + "epoch": 0.46, + "learning_rate": 1.1811563784281017e-05, + "loss": 0.7551, + "step": 2900 + }, + { + "epoch": 0.46, + "learning_rate": 1.1806524217341565e-05, + "loss": 0.3125, + "step": 2901 + }, + { + "epoch": 0.46, + "learning_rate": 1.1801484176071785e-05, + "loss": 0.7814, + "step": 2902 + }, + { + "epoch": 0.46, + "learning_rate": 1.1796443661795021e-05, + "loss": 0.7501, + "step": 2903 + }, + { + "epoch": 0.46, + "learning_rate": 1.1791402675834733e-05, + "loss": 0.7026, + "step": 2904 + }, + { + "epoch": 0.46, + "learning_rate": 1.178636121951451e-05, + "loss": 0.7756, + "step": 2905 + }, + { + "epoch": 0.46, + "learning_rate": 1.1781319294158065e-05, + "loss": 0.8113, + "step": 2906 + }, + { + "epoch": 0.46, + "learning_rate": 1.1776276901089225e-05, + "loss": 0.7115, + "step": 2907 + }, + { + "epoch": 0.46, + "learning_rate": 1.1771234041631952e-05, + "loss": 0.7672, + "step": 2908 + }, + { + "epoch": 0.46, + "learning_rate": 1.1766190717110325e-05, + "loss": 0.723, + "step": 2909 + }, + { + "epoch": 0.46, + "learning_rate": 1.1761146928848543e-05, + "loss": 0.6643, + "step": 2910 + }, + { + "epoch": 0.46, + "learning_rate": 1.175610267817093e-05, + "loss": 0.7446, + "step": 2911 + }, + { + "epoch": 0.46, + "learning_rate": 1.1751057966401933e-05, + "loss": 0.7714, + "step": 2912 + }, + { + "epoch": 0.46, + "learning_rate": 1.1746012794866118e-05, + "loss": 0.7957, + "step": 2913 + }, + { + "epoch": 0.46, + "learning_rate": 1.1740967164888165e-05, + "loss": 0.301, + "step": 2914 + }, + { + "epoch": 0.46, + "learning_rate": 1.1735921077792885e-05, + "loss": 0.7261, + "step": 2915 + }, + { + "epoch": 0.46, + "learning_rate": 1.1730874534905203e-05, + "loss": 0.7781, + "step": 2916 + }, + { + "epoch": 0.46, + "learning_rate": 1.1725827537550172e-05, + "loss": 0.7747, + "step": 2917 + }, + { + "epoch": 0.46, + "learning_rate": 1.1720780087052947e-05, + "loss": 0.688, + "step": 2918 + }, + { + "epoch": 0.46, + "learning_rate": 1.1715732184738819e-05, + "loss": 0.767, + "step": 2919 + }, + { + "epoch": 0.46, + "learning_rate": 1.1710683831933192e-05, + "loss": 0.7197, + "step": 2920 + }, + { + "epoch": 0.46, + "learning_rate": 1.1705635029961582e-05, + "loss": 0.7745, + "step": 2921 + }, + { + "epoch": 0.46, + "learning_rate": 1.1700585780149635e-05, + "loss": 0.7766, + "step": 2922 + }, + { + "epoch": 0.46, + "learning_rate": 1.1695536083823109e-05, + "loss": 0.8281, + "step": 2923 + }, + { + "epoch": 0.46, + "learning_rate": 1.169048594230787e-05, + "loss": 0.7871, + "step": 2924 + }, + { + "epoch": 0.46, + "learning_rate": 1.1685435356929915e-05, + "loss": 0.7158, + "step": 2925 + }, + { + "epoch": 0.46, + "learning_rate": 1.1680384329015351e-05, + "loss": 0.7135, + "step": 2926 + }, + { + "epoch": 0.46, + "learning_rate": 1.1675332859890403e-05, + "loss": 0.6505, + "step": 2927 + }, + { + "epoch": 0.46, + "learning_rate": 1.1670280950881405e-05, + "loss": 0.7401, + "step": 2928 + }, + { + "epoch": 0.46, + "learning_rate": 1.1665228603314822e-05, + "loss": 0.7426, + "step": 2929 + }, + { + "epoch": 0.46, + "learning_rate": 1.166017581851722e-05, + "loss": 0.7488, + "step": 2930 + }, + { + "epoch": 0.46, + "learning_rate": 1.1655122597815278e-05, + "loss": 0.2875, + "step": 2931 + }, + { + "epoch": 0.46, + "learning_rate": 1.1650068942535807e-05, + "loss": 0.7883, + "step": 2932 + }, + { + "epoch": 0.46, + "learning_rate": 1.1645014854005712e-05, + "loss": 0.7289, + "step": 2933 + }, + { + "epoch": 0.46, + "learning_rate": 1.1639960333552023e-05, + "loss": 0.7035, + "step": 2934 + }, + { + "epoch": 0.46, + "learning_rate": 1.1634905382501884e-05, + "loss": 0.3269, + "step": 2935 + }, + { + "epoch": 0.46, + "learning_rate": 1.1629850002182545e-05, + "loss": 0.7451, + "step": 2936 + }, + { + "epoch": 0.46, + "learning_rate": 1.1624794193921376e-05, + "loss": 0.2827, + "step": 2937 + }, + { + "epoch": 0.46, + "learning_rate": 1.161973795904585e-05, + "loss": 0.7649, + "step": 2938 + }, + { + "epoch": 0.46, + "learning_rate": 1.161468129888357e-05, + "loss": 0.7061, + "step": 2939 + }, + { + "epoch": 0.47, + "learning_rate": 1.1609624214762228e-05, + "loss": 0.7457, + "step": 2940 + }, + { + "epoch": 0.47, + "learning_rate": 1.160456670800964e-05, + "loss": 0.7913, + "step": 2941 + }, + { + "epoch": 0.47, + "learning_rate": 1.1599508779953736e-05, + "loss": 0.738, + "step": 2942 + }, + { + "epoch": 0.47, + "learning_rate": 1.1594450431922548e-05, + "loss": 0.7305, + "step": 2943 + }, + { + "epoch": 0.47, + "learning_rate": 1.1589391665244223e-05, + "loss": 0.7568, + "step": 2944 + }, + { + "epoch": 0.47, + "learning_rate": 1.1584332481247012e-05, + "loss": 0.7539, + "step": 2945 + }, + { + "epoch": 0.47, + "learning_rate": 1.157927288125929e-05, + "loss": 0.7355, + "step": 2946 + }, + { + "epoch": 0.47, + "learning_rate": 1.1574212866609525e-05, + "loss": 0.7535, + "step": 2947 + }, + { + "epoch": 0.47, + "learning_rate": 1.15691524386263e-05, + "loss": 0.7371, + "step": 2948 + }, + { + "epoch": 0.47, + "learning_rate": 1.156409159863831e-05, + "loss": 0.7714, + "step": 2949 + }, + { + "epoch": 0.47, + "learning_rate": 1.1559030347974356e-05, + "loss": 0.7617, + "step": 2950 + }, + { + "epoch": 0.47, + "learning_rate": 1.1553968687963344e-05, + "loss": 0.7683, + "step": 2951 + }, + { + "epoch": 0.47, + "learning_rate": 1.154890661993429e-05, + "loss": 0.6927, + "step": 2952 + }, + { + "epoch": 0.47, + "learning_rate": 1.1543844145216316e-05, + "loss": 0.762, + "step": 2953 + }, + { + "epoch": 0.47, + "learning_rate": 1.1538781265138651e-05, + "loss": 0.8042, + "step": 2954 + }, + { + "epoch": 0.47, + "learning_rate": 1.1533717981030635e-05, + "loss": 0.6893, + "step": 2955 + }, + { + "epoch": 0.47, + "learning_rate": 1.1528654294221706e-05, + "loss": 0.7042, + "step": 2956 + }, + { + "epoch": 0.47, + "learning_rate": 1.1523590206041413e-05, + "loss": 0.7466, + "step": 2957 + }, + { + "epoch": 0.47, + "learning_rate": 1.1518525717819411e-05, + "loss": 0.7479, + "step": 2958 + }, + { + "epoch": 0.47, + "learning_rate": 1.1513460830885455e-05, + "loss": 0.7908, + "step": 2959 + }, + { + "epoch": 0.47, + "learning_rate": 1.1508395546569408e-05, + "loss": 0.7579, + "step": 2960 + }, + { + "epoch": 0.47, + "learning_rate": 1.150332986620124e-05, + "loss": 0.8164, + "step": 2961 + }, + { + "epoch": 0.47, + "learning_rate": 1.1498263791111019e-05, + "loss": 0.6891, + "step": 2962 + }, + { + "epoch": 0.47, + "learning_rate": 1.1493197322628924e-05, + "loss": 0.6602, + "step": 2963 + }, + { + "epoch": 0.47, + "learning_rate": 1.1488130462085233e-05, + "loss": 0.7986, + "step": 2964 + }, + { + "epoch": 0.47, + "learning_rate": 1.148306321081032e-05, + "loss": 0.7708, + "step": 2965 + }, + { + "epoch": 0.47, + "learning_rate": 1.1477995570134672e-05, + "loss": 0.741, + "step": 2966 + }, + { + "epoch": 0.47, + "learning_rate": 1.1472927541388881e-05, + "loss": 0.691, + "step": 2967 + }, + { + "epoch": 0.47, + "learning_rate": 1.1467859125903625e-05, + "loss": 0.6855, + "step": 2968 + }, + { + "epoch": 0.47, + "learning_rate": 1.14627903250097e-05, + "loss": 0.6907, + "step": 2969 + }, + { + "epoch": 0.47, + "learning_rate": 1.1457721140037998e-05, + "loss": 0.7011, + "step": 2970 + }, + { + "epoch": 0.47, + "learning_rate": 1.1452651572319504e-05, + "loss": 0.2755, + "step": 2971 + }, + { + "epoch": 0.47, + "learning_rate": 1.1447581623185316e-05, + "loss": 0.7878, + "step": 2972 + }, + { + "epoch": 0.47, + "learning_rate": 1.144251129396662e-05, + "loss": 0.6609, + "step": 2973 + }, + { + "epoch": 0.47, + "learning_rate": 1.1437440585994712e-05, + "loss": 0.7446, + "step": 2974 + }, + { + "epoch": 0.47, + "learning_rate": 1.143236950060098e-05, + "loss": 0.7131, + "step": 2975 + }, + { + "epoch": 0.47, + "learning_rate": 1.1427298039116923e-05, + "loss": 0.679, + "step": 2976 + }, + { + "epoch": 0.47, + "learning_rate": 1.142222620287412e-05, + "loss": 0.8262, + "step": 2977 + }, + { + "epoch": 0.47, + "learning_rate": 1.141715399320426e-05, + "loss": 0.7058, + "step": 2978 + }, + { + "epoch": 0.47, + "learning_rate": 1.1412081411439132e-05, + "loss": 0.7261, + "step": 2979 + }, + { + "epoch": 0.47, + "learning_rate": 1.140700845891062e-05, + "loss": 0.6587, + "step": 2980 + }, + { + "epoch": 0.47, + "learning_rate": 1.1401935136950702e-05, + "loss": 0.7776, + "step": 2981 + }, + { + "epoch": 0.47, + "learning_rate": 1.1396861446891457e-05, + "loss": 0.7554, + "step": 2982 + }, + { + "epoch": 0.47, + "learning_rate": 1.1391787390065057e-05, + "loss": 0.6996, + "step": 2983 + }, + { + "epoch": 0.47, + "learning_rate": 1.1386712967803774e-05, + "loss": 0.7561, + "step": 2984 + }, + { + "epoch": 0.47, + "learning_rate": 1.1381638181439973e-05, + "loss": 0.3251, + "step": 2985 + }, + { + "epoch": 0.47, + "learning_rate": 1.137656303230612e-05, + "loss": 0.7458, + "step": 2986 + }, + { + "epoch": 0.47, + "learning_rate": 1.1371487521734769e-05, + "loss": 0.7627, + "step": 2987 + }, + { + "epoch": 0.47, + "learning_rate": 1.1366411651058575e-05, + "loss": 0.7631, + "step": 2988 + }, + { + "epoch": 0.47, + "learning_rate": 1.1361335421610282e-05, + "loss": 0.7546, + "step": 2989 + }, + { + "epoch": 0.47, + "learning_rate": 1.1356258834722733e-05, + "loss": 0.6997, + "step": 2990 + }, + { + "epoch": 0.47, + "learning_rate": 1.1351181891728862e-05, + "loss": 0.7787, + "step": 2991 + }, + { + "epoch": 0.47, + "learning_rate": 1.1346104593961696e-05, + "loss": 0.7607, + "step": 2992 + }, + { + "epoch": 0.47, + "learning_rate": 1.1341026942754357e-05, + "loss": 0.7524, + "step": 2993 + }, + { + "epoch": 0.47, + "learning_rate": 1.1335948939440065e-05, + "loss": 0.7721, + "step": 2994 + }, + { + "epoch": 0.47, + "learning_rate": 1.1330870585352116e-05, + "loss": 0.2892, + "step": 2995 + }, + { + "epoch": 0.47, + "learning_rate": 1.1325791881823917e-05, + "loss": 0.7505, + "step": 2996 + }, + { + "epoch": 0.47, + "learning_rate": 1.1320712830188958e-05, + "loss": 0.7583, + "step": 2997 + }, + { + "epoch": 0.47, + "learning_rate": 1.1315633431780817e-05, + "loss": 0.7244, + "step": 2998 + }, + { + "epoch": 0.47, + "learning_rate": 1.131055368793317e-05, + "loss": 0.7861, + "step": 2999 + }, + { + "epoch": 0.47, + "learning_rate": 1.1305473599979781e-05, + "loss": 0.7609, + "step": 3000 + }, + { + "epoch": 0.47, + "learning_rate": 1.1300393169254505e-05, + "loss": 0.8032, + "step": 3001 + }, + { + "epoch": 0.47, + "learning_rate": 1.1295312397091283e-05, + "loss": 0.7559, + "step": 3002 + }, + { + "epoch": 0.48, + "learning_rate": 1.129023128482415e-05, + "loss": 0.7717, + "step": 3003 + }, + { + "epoch": 0.48, + "learning_rate": 1.128514983378723e-05, + "loss": 0.7251, + "step": 3004 + }, + { + "epoch": 0.48, + "learning_rate": 1.1280068045314734e-05, + "loss": 0.3136, + "step": 3005 + }, + { + "epoch": 0.48, + "learning_rate": 1.1274985920740962e-05, + "loss": 0.7191, + "step": 3006 + }, + { + "epoch": 0.48, + "learning_rate": 1.1269903461400307e-05, + "loss": 0.7396, + "step": 3007 + }, + { + "epoch": 0.48, + "learning_rate": 1.1264820668627242e-05, + "loss": 0.781, + "step": 3008 + }, + { + "epoch": 0.48, + "learning_rate": 1.1259737543756325e-05, + "loss": 0.769, + "step": 3009 + }, + { + "epoch": 0.48, + "learning_rate": 1.1254654088122221e-05, + "loss": 0.7749, + "step": 3010 + }, + { + "epoch": 0.48, + "learning_rate": 1.1249570303059665e-05, + "loss": 0.734, + "step": 3011 + }, + { + "epoch": 0.48, + "learning_rate": 1.1244486189903471e-05, + "loss": 0.7422, + "step": 3012 + }, + { + "epoch": 0.48, + "learning_rate": 1.1239401749988563e-05, + "loss": 0.797, + "step": 3013 + }, + { + "epoch": 0.48, + "learning_rate": 1.1234316984649932e-05, + "loss": 0.762, + "step": 3014 + }, + { + "epoch": 0.48, + "learning_rate": 1.1229231895222658e-05, + "loss": 0.7357, + "step": 3015 + }, + { + "epoch": 0.48, + "learning_rate": 1.1224146483041911e-05, + "loss": 0.6853, + "step": 3016 + }, + { + "epoch": 0.48, + "learning_rate": 1.1219060749442947e-05, + "loss": 0.7867, + "step": 3017 + }, + { + "epoch": 0.48, + "learning_rate": 1.1213974695761098e-05, + "loss": 0.7797, + "step": 3018 + }, + { + "epoch": 0.48, + "learning_rate": 1.120888832333178e-05, + "loss": 0.7233, + "step": 3019 + }, + { + "epoch": 0.48, + "learning_rate": 1.1203801633490507e-05, + "loss": 0.6752, + "step": 3020 + }, + { + "epoch": 0.48, + "learning_rate": 1.1198714627572862e-05, + "loss": 0.7646, + "step": 3021 + }, + { + "epoch": 0.48, + "learning_rate": 1.1193627306914512e-05, + "loss": 0.7581, + "step": 3022 + }, + { + "epoch": 0.48, + "learning_rate": 1.1188539672851218e-05, + "loss": 0.7505, + "step": 3023 + }, + { + "epoch": 0.48, + "learning_rate": 1.1183451726718808e-05, + "loss": 0.7666, + "step": 3024 + }, + { + "epoch": 0.48, + "learning_rate": 1.1178363469853201e-05, + "loss": 0.8093, + "step": 3025 + }, + { + "epoch": 0.48, + "learning_rate": 1.11732749035904e-05, + "loss": 0.7834, + "step": 3026 + }, + { + "epoch": 0.48, + "learning_rate": 1.1168186029266483e-05, + "loss": 0.7471, + "step": 3027 + }, + { + "epoch": 0.48, + "learning_rate": 1.1163096848217612e-05, + "loss": 0.8005, + "step": 3028 + }, + { + "epoch": 0.48, + "learning_rate": 1.1158007361780026e-05, + "loss": 0.8115, + "step": 3029 + }, + { + "epoch": 0.48, + "learning_rate": 1.1152917571290048e-05, + "loss": 0.6901, + "step": 3030 + }, + { + "epoch": 0.48, + "learning_rate": 1.1147827478084078e-05, + "loss": 0.7886, + "step": 3031 + }, + { + "epoch": 0.48, + "learning_rate": 1.1142737083498601e-05, + "loss": 0.7139, + "step": 3032 + }, + { + "epoch": 0.48, + "learning_rate": 1.1137646388870176e-05, + "loss": 0.7755, + "step": 3033 + }, + { + "epoch": 0.48, + "learning_rate": 1.1132555395535441e-05, + "loss": 0.7664, + "step": 3034 + }, + { + "epoch": 0.48, + "learning_rate": 1.1127464104831115e-05, + "loss": 0.7604, + "step": 3035 + }, + { + "epoch": 0.48, + "learning_rate": 1.1122372518093991e-05, + "loss": 0.6893, + "step": 3036 + }, + { + "epoch": 0.48, + "learning_rate": 1.1117280636660944e-05, + "loss": 0.7705, + "step": 3037 + }, + { + "epoch": 0.48, + "learning_rate": 1.1112188461868925e-05, + "loss": 0.7473, + "step": 3038 + }, + { + "epoch": 0.48, + "learning_rate": 1.1107095995054959e-05, + "loss": 0.7142, + "step": 3039 + }, + { + "epoch": 0.48, + "learning_rate": 1.1102003237556156e-05, + "loss": 0.707, + "step": 3040 + }, + { + "epoch": 0.48, + "learning_rate": 1.1096910190709693e-05, + "loss": 0.6682, + "step": 3041 + }, + { + "epoch": 0.48, + "learning_rate": 1.1091816855852823e-05, + "loss": 0.772, + "step": 3042 + }, + { + "epoch": 0.48, + "learning_rate": 1.1086723234322888e-05, + "loss": 0.7528, + "step": 3043 + }, + { + "epoch": 0.48, + "learning_rate": 1.1081629327457286e-05, + "loss": 0.759, + "step": 3044 + }, + { + "epoch": 0.48, + "learning_rate": 1.1076535136593504e-05, + "loss": 0.7634, + "step": 3045 + }, + { + "epoch": 0.48, + "learning_rate": 1.1071440663069097e-05, + "loss": 0.6779, + "step": 3046 + }, + { + "epoch": 0.48, + "learning_rate": 1.1066345908221704e-05, + "loss": 0.3155, + "step": 3047 + }, + { + "epoch": 0.48, + "learning_rate": 1.1061250873389018e-05, + "loss": 0.707, + "step": 3048 + }, + { + "epoch": 0.48, + "learning_rate": 1.1056155559908822e-05, + "loss": 0.7764, + "step": 3049 + }, + { + "epoch": 0.48, + "learning_rate": 1.1051059969118972e-05, + "loss": 0.6934, + "step": 3050 + }, + { + "epoch": 0.48, + "learning_rate": 1.104596410235739e-05, + "loss": 0.7712, + "step": 3051 + }, + { + "epoch": 0.48, + "learning_rate": 1.1040867960962075e-05, + "loss": 0.717, + "step": 3052 + }, + { + "epoch": 0.48, + "learning_rate": 1.103577154627109e-05, + "loss": 0.6873, + "step": 3053 + }, + { + "epoch": 0.48, + "learning_rate": 1.1030674859622582e-05, + "loss": 0.8295, + "step": 3054 + }, + { + "epoch": 0.48, + "learning_rate": 1.1025577902354763e-05, + "loss": 0.6968, + "step": 3055 + }, + { + "epoch": 0.48, + "learning_rate": 1.1020480675805912e-05, + "loss": 0.7974, + "step": 3056 + }, + { + "epoch": 0.48, + "learning_rate": 1.1015383181314385e-05, + "loss": 0.7333, + "step": 3057 + }, + { + "epoch": 0.48, + "learning_rate": 1.1010285420218611e-05, + "loss": 0.7708, + "step": 3058 + }, + { + "epoch": 0.48, + "learning_rate": 1.100518739385708e-05, + "loss": 0.7009, + "step": 3059 + }, + { + "epoch": 0.48, + "learning_rate": 1.1000089103568356e-05, + "loss": 0.7754, + "step": 3060 + }, + { + "epoch": 0.48, + "learning_rate": 1.0994990550691076e-05, + "loss": 0.7014, + "step": 3061 + }, + { + "epoch": 0.48, + "learning_rate": 1.0989891736563939e-05, + "loss": 0.7638, + "step": 3062 + }, + { + "epoch": 0.48, + "learning_rate": 1.0984792662525714e-05, + "loss": 0.7141, + "step": 3063 + }, + { + "epoch": 0.48, + "learning_rate": 1.0979693329915247e-05, + "loss": 0.2852, + "step": 3064 + }, + { + "epoch": 0.48, + "learning_rate": 1.097459374007144e-05, + "loss": 0.6576, + "step": 3065 + }, + { + "epoch": 0.49, + "learning_rate": 1.0969493894333266e-05, + "loss": 0.7437, + "step": 3066 + }, + { + "epoch": 0.49, + "learning_rate": 1.0964393794039771e-05, + "loss": 0.7354, + "step": 3067 + }, + { + "epoch": 0.49, + "learning_rate": 1.0959293440530063e-05, + "loss": 0.7902, + "step": 3068 + }, + { + "epoch": 0.49, + "learning_rate": 1.0954192835143318e-05, + "loss": 0.2849, + "step": 3069 + }, + { + "epoch": 0.49, + "learning_rate": 1.0949091979218773e-05, + "loss": 0.7753, + "step": 3070 + }, + { + "epoch": 0.49, + "learning_rate": 1.094399087409574e-05, + "loss": 0.7068, + "step": 3071 + }, + { + "epoch": 0.49, + "learning_rate": 1.093888952111359e-05, + "loss": 0.76, + "step": 3072 + }, + { + "epoch": 0.49, + "learning_rate": 1.0933787921611753e-05, + "loss": 0.6973, + "step": 3073 + }, + { + "epoch": 0.49, + "learning_rate": 1.0928686076929744e-05, + "loss": 0.3105, + "step": 3074 + }, + { + "epoch": 0.49, + "learning_rate": 1.0923583988407125e-05, + "loss": 0.7006, + "step": 3075 + }, + { + "epoch": 0.49, + "learning_rate": 1.0918481657383523e-05, + "loss": 0.7233, + "step": 3076 + }, + { + "epoch": 0.49, + "learning_rate": 1.0913379085198635e-05, + "loss": 0.7515, + "step": 3077 + }, + { + "epoch": 0.49, + "learning_rate": 1.090827627319222e-05, + "loss": 0.8088, + "step": 3078 + }, + { + "epoch": 0.49, + "learning_rate": 1.0903173222704093e-05, + "loss": 0.7078, + "step": 3079 + }, + { + "epoch": 0.49, + "learning_rate": 1.0898069935074145e-05, + "loss": 0.7305, + "step": 3080 + }, + { + "epoch": 0.49, + "learning_rate": 1.0892966411642318e-05, + "loss": 0.8101, + "step": 3081 + }, + { + "epoch": 0.49, + "learning_rate": 1.088786265374862e-05, + "loss": 0.7542, + "step": 3082 + }, + { + "epoch": 0.49, + "learning_rate": 1.088275866273312e-05, + "loss": 0.7671, + "step": 3083 + }, + { + "epoch": 0.49, + "learning_rate": 1.0877654439935948e-05, + "loss": 0.8008, + "step": 3084 + }, + { + "epoch": 0.49, + "learning_rate": 1.0872549986697293e-05, + "loss": 0.709, + "step": 3085 + }, + { + "epoch": 0.49, + "learning_rate": 1.0867445304357407e-05, + "loss": 0.7703, + "step": 3086 + }, + { + "epoch": 0.49, + "learning_rate": 1.0862340394256607e-05, + "loss": 0.8247, + "step": 3087 + }, + { + "epoch": 0.49, + "learning_rate": 1.085723525773526e-05, + "loss": 0.7404, + "step": 3088 + }, + { + "epoch": 0.49, + "learning_rate": 1.0852129896133795e-05, + "loss": 0.7979, + "step": 3089 + }, + { + "epoch": 0.49, + "learning_rate": 1.084702431079271e-05, + "loss": 0.7428, + "step": 3090 + }, + { + "epoch": 0.49, + "learning_rate": 1.0841918503052545e-05, + "loss": 0.6906, + "step": 3091 + }, + { + "epoch": 0.49, + "learning_rate": 1.0836812474253912e-05, + "loss": 0.7056, + "step": 3092 + }, + { + "epoch": 0.49, + "learning_rate": 1.0831706225737473e-05, + "loss": 0.7996, + "step": 3093 + }, + { + "epoch": 0.49, + "learning_rate": 1.0826599758843959e-05, + "loss": 0.3147, + "step": 3094 + }, + { + "epoch": 0.49, + "learning_rate": 1.082149307491414e-05, + "loss": 0.792, + "step": 3095 + }, + { + "epoch": 0.49, + "learning_rate": 1.0816386175288858e-05, + "loss": 0.7281, + "step": 3096 + }, + { + "epoch": 0.49, + "learning_rate": 1.0811279061309007e-05, + "loss": 0.7998, + "step": 3097 + }, + { + "epoch": 0.49, + "learning_rate": 1.0806171734315538e-05, + "loss": 0.7505, + "step": 3098 + }, + { + "epoch": 0.49, + "learning_rate": 1.0801064195649458e-05, + "loss": 0.7393, + "step": 3099 + }, + { + "epoch": 0.49, + "learning_rate": 1.0795956446651826e-05, + "loss": 0.7367, + "step": 3100 + }, + { + "epoch": 0.49, + "learning_rate": 1.0790848488663756e-05, + "loss": 0.7788, + "step": 3101 + }, + { + "epoch": 0.49, + "learning_rate": 1.0785740323026428e-05, + "loss": 0.7659, + "step": 3102 + }, + { + "epoch": 0.49, + "learning_rate": 1.078063195108106e-05, + "loss": 0.8064, + "step": 3103 + }, + { + "epoch": 0.49, + "learning_rate": 1.0775523374168939e-05, + "loss": 0.7532, + "step": 3104 + }, + { + "epoch": 0.49, + "learning_rate": 1.0770414593631397e-05, + "loss": 0.6967, + "step": 3105 + }, + { + "epoch": 0.49, + "learning_rate": 1.0765305610809823e-05, + "loss": 0.6459, + "step": 3106 + }, + { + "epoch": 0.49, + "learning_rate": 1.0760196427045655e-05, + "loss": 0.7784, + "step": 3107 + }, + { + "epoch": 0.49, + "learning_rate": 1.0755087043680387e-05, + "loss": 0.7336, + "step": 3108 + }, + { + "epoch": 0.49, + "learning_rate": 1.0749977462055567e-05, + "loss": 0.7394, + "step": 3109 + }, + { + "epoch": 0.49, + "learning_rate": 1.0744867683512792e-05, + "loss": 0.7648, + "step": 3110 + }, + { + "epoch": 0.49, + "learning_rate": 1.0739757709393714e-05, + "loss": 0.7839, + "step": 3111 + }, + { + "epoch": 0.49, + "learning_rate": 1.0734647541040033e-05, + "loss": 0.8073, + "step": 3112 + }, + { + "epoch": 0.49, + "learning_rate": 1.07295371797935e-05, + "loss": 0.7528, + "step": 3113 + }, + { + "epoch": 0.49, + "learning_rate": 1.0724426626995917e-05, + "loss": 0.6957, + "step": 3114 + }, + { + "epoch": 0.49, + "learning_rate": 1.0719315883989139e-05, + "loss": 0.7446, + "step": 3115 + }, + { + "epoch": 0.49, + "learning_rate": 1.0714204952115068e-05, + "loss": 0.7744, + "step": 3116 + }, + { + "epoch": 0.49, + "learning_rate": 1.070909383271566e-05, + "loss": 0.6979, + "step": 3117 + }, + { + "epoch": 0.49, + "learning_rate": 1.0703982527132912e-05, + "loss": 0.7637, + "step": 3118 + }, + { + "epoch": 0.49, + "learning_rate": 1.0698871036708877e-05, + "loss": 0.7153, + "step": 3119 + }, + { + "epoch": 0.49, + "learning_rate": 1.0693759362785653e-05, + "loss": 0.8188, + "step": 3120 + }, + { + "epoch": 0.49, + "learning_rate": 1.0688647506705392e-05, + "loss": 0.7213, + "step": 3121 + }, + { + "epoch": 0.49, + "learning_rate": 1.0683535469810285e-05, + "loss": 0.7294, + "step": 3122 + }, + { + "epoch": 0.49, + "learning_rate": 1.0678423253442575e-05, + "loss": 0.7827, + "step": 3123 + }, + { + "epoch": 0.49, + "learning_rate": 1.0673310858944554e-05, + "loss": 0.6377, + "step": 3124 + }, + { + "epoch": 0.49, + "learning_rate": 1.0668198287658557e-05, + "loss": 0.7629, + "step": 3125 + }, + { + "epoch": 0.49, + "learning_rate": 1.0663085540926967e-05, + "loss": 0.6929, + "step": 3126 + }, + { + "epoch": 0.49, + "learning_rate": 1.0657972620092216e-05, + "loss": 0.7795, + "step": 3127 + }, + { + "epoch": 0.49, + "learning_rate": 1.0652859526496775e-05, + "loss": 0.762, + "step": 3128 + }, + { + "epoch": 0.5, + "learning_rate": 1.0647746261483168e-05, + "loss": 0.7548, + "step": 3129 + }, + { + "epoch": 0.5, + "learning_rate": 1.0642632826393956e-05, + "loss": 0.7169, + "step": 3130 + }, + { + "epoch": 0.5, + "learning_rate": 1.0637519222571752e-05, + "loss": 0.7729, + "step": 3131 + }, + { + "epoch": 0.5, + "learning_rate": 1.063240545135921e-05, + "loss": 0.7279, + "step": 3132 + }, + { + "epoch": 0.5, + "learning_rate": 1.0627291514099025e-05, + "loss": 0.2977, + "step": 3133 + }, + { + "epoch": 0.5, + "learning_rate": 1.0622177412133943e-05, + "loss": 0.7649, + "step": 3134 + }, + { + "epoch": 0.5, + "learning_rate": 1.061706314680675e-05, + "loss": 0.7739, + "step": 3135 + }, + { + "epoch": 0.5, + "learning_rate": 1.0611948719460267e-05, + "loss": 0.8071, + "step": 3136 + }, + { + "epoch": 0.5, + "learning_rate": 1.0606834131437371e-05, + "loss": 0.781, + "step": 3137 + }, + { + "epoch": 0.5, + "learning_rate": 1.0601719384080973e-05, + "loss": 0.7603, + "step": 3138 + }, + { + "epoch": 0.5, + "learning_rate": 1.0596604478734025e-05, + "loss": 0.7698, + "step": 3139 + }, + { + "epoch": 0.5, + "learning_rate": 1.0591489416739524e-05, + "loss": 0.7454, + "step": 3140 + }, + { + "epoch": 0.5, + "learning_rate": 1.0586374199440512e-05, + "loss": 0.7854, + "step": 3141 + }, + { + "epoch": 0.5, + "learning_rate": 1.058125882818006e-05, + "loss": 0.7751, + "step": 3142 + }, + { + "epoch": 0.5, + "learning_rate": 1.0576143304301287e-05, + "loss": 0.7892, + "step": 3143 + }, + { + "epoch": 0.5, + "learning_rate": 1.0571027629147357e-05, + "loss": 0.7649, + "step": 3144 + }, + { + "epoch": 0.5, + "learning_rate": 1.0565911804061463e-05, + "loss": 0.7186, + "step": 3145 + }, + { + "epoch": 0.5, + "learning_rate": 1.0560795830386846e-05, + "loss": 0.272, + "step": 3146 + }, + { + "epoch": 0.5, + "learning_rate": 1.0555679709466777e-05, + "loss": 0.7595, + "step": 3147 + }, + { + "epoch": 0.5, + "learning_rate": 1.0550563442644577e-05, + "loss": 0.746, + "step": 3148 + }, + { + "epoch": 0.5, + "learning_rate": 1.0545447031263596e-05, + "loss": 0.7708, + "step": 3149 + }, + { + "epoch": 0.5, + "learning_rate": 1.0540330476667224e-05, + "loss": 0.2847, + "step": 3150 + }, + { + "epoch": 0.5, + "learning_rate": 1.0535213780198896e-05, + "loss": 0.7673, + "step": 3151 + }, + { + "epoch": 0.5, + "learning_rate": 1.0530096943202073e-05, + "loss": 0.7414, + "step": 3152 + }, + { + "epoch": 0.5, + "learning_rate": 1.052497996702026e-05, + "loss": 0.7274, + "step": 3153 + }, + { + "epoch": 0.5, + "learning_rate": 1.0519862852996996e-05, + "loss": 0.6991, + "step": 3154 + }, + { + "epoch": 0.5, + "learning_rate": 1.0514745602475858e-05, + "loss": 0.739, + "step": 3155 + }, + { + "epoch": 0.5, + "learning_rate": 1.0509628216800456e-05, + "loss": 0.7406, + "step": 3156 + }, + { + "epoch": 0.5, + "learning_rate": 1.0504510697314439e-05, + "loss": 0.7516, + "step": 3157 + }, + { + "epoch": 0.5, + "learning_rate": 1.0499393045361488e-05, + "loss": 0.7056, + "step": 3158 + }, + { + "epoch": 0.5, + "learning_rate": 1.0494275262285323e-05, + "loss": 0.7708, + "step": 3159 + }, + { + "epoch": 0.5, + "learning_rate": 1.0489157349429688e-05, + "loss": 0.823, + "step": 3160 + }, + { + "epoch": 0.5, + "learning_rate": 1.0484039308138379e-05, + "loss": 0.741, + "step": 3161 + }, + { + "epoch": 0.5, + "learning_rate": 1.0478921139755206e-05, + "loss": 0.7561, + "step": 3162 + }, + { + "epoch": 0.5, + "learning_rate": 1.0473802845624028e-05, + "loss": 0.738, + "step": 3163 + }, + { + "epoch": 0.5, + "learning_rate": 1.0468684427088726e-05, + "loss": 0.7898, + "step": 3164 + }, + { + "epoch": 0.5, + "learning_rate": 1.0463565885493227e-05, + "loss": 0.7996, + "step": 3165 + }, + { + "epoch": 0.5, + "learning_rate": 1.0458447222181474e-05, + "loss": 0.2933, + "step": 3166 + }, + { + "epoch": 0.5, + "learning_rate": 1.0453328438497446e-05, + "loss": 0.7473, + "step": 3167 + }, + { + "epoch": 0.5, + "learning_rate": 1.0448209535785167e-05, + "loss": 0.7493, + "step": 3168 + }, + { + "epoch": 0.5, + "learning_rate": 1.0443090515388678e-05, + "loss": 0.741, + "step": 3169 + }, + { + "epoch": 0.5, + "learning_rate": 1.0437971378652054e-05, + "loss": 0.681, + "step": 3170 + }, + { + "epoch": 0.5, + "learning_rate": 1.0432852126919407e-05, + "loss": 0.7734, + "step": 3171 + }, + { + "epoch": 0.5, + "learning_rate": 1.0427732761534867e-05, + "loss": 0.7292, + "step": 3172 + }, + { + "epoch": 0.5, + "learning_rate": 1.0422613283842607e-05, + "loss": 0.7384, + "step": 3173 + }, + { + "epoch": 0.5, + "learning_rate": 1.0417493695186819e-05, + "loss": 0.7686, + "step": 3174 + }, + { + "epoch": 0.5, + "learning_rate": 1.041237399691173e-05, + "loss": 0.7207, + "step": 3175 + }, + { + "epoch": 0.5, + "learning_rate": 1.0407254190361602e-05, + "loss": 0.3046, + "step": 3176 + }, + { + "epoch": 0.5, + "learning_rate": 1.0402134276880704e-05, + "loss": 0.7898, + "step": 3177 + }, + { + "epoch": 0.5, + "learning_rate": 1.0397014257813357e-05, + "loss": 0.6956, + "step": 3178 + }, + { + "epoch": 0.5, + "learning_rate": 1.0391894134503897e-05, + "loss": 0.7203, + "step": 3179 + }, + { + "epoch": 0.5, + "learning_rate": 1.0386773908296685e-05, + "loss": 0.7532, + "step": 3180 + }, + { + "epoch": 0.5, + "learning_rate": 1.0381653580536123e-05, + "loss": 0.7861, + "step": 3181 + }, + { + "epoch": 0.5, + "learning_rate": 1.037653315256663e-05, + "loss": 0.7407, + "step": 3182 + }, + { + "epoch": 0.5, + "learning_rate": 1.0371412625732642e-05, + "loss": 0.7124, + "step": 3183 + }, + { + "epoch": 0.5, + "learning_rate": 1.036629200137864e-05, + "loss": 0.7581, + "step": 3184 + }, + { + "epoch": 0.5, + "learning_rate": 1.0361171280849121e-05, + "loss": 0.7637, + "step": 3185 + }, + { + "epoch": 0.5, + "learning_rate": 1.0356050465488603e-05, + "loss": 0.7292, + "step": 3186 + }, + { + "epoch": 0.5, + "learning_rate": 1.0350929556641635e-05, + "loss": 0.7678, + "step": 3187 + }, + { + "epoch": 0.5, + "learning_rate": 1.0345808555652794e-05, + "loss": 0.7421, + "step": 3188 + }, + { + "epoch": 0.5, + "learning_rate": 1.0340687463866674e-05, + "loss": 0.7806, + "step": 3189 + }, + { + "epoch": 0.5, + "learning_rate": 1.033556628262789e-05, + "loss": 0.7379, + "step": 3190 + }, + { + "epoch": 0.5, + "learning_rate": 1.0330445013281094e-05, + "loss": 0.7355, + "step": 3191 + }, + { + "epoch": 0.5, + "learning_rate": 1.0325323657170946e-05, + "loss": 0.77, + "step": 3192 + }, + { + "epoch": 0.51, + "learning_rate": 1.0320202215642144e-05, + "loss": 0.7925, + "step": 3193 + }, + { + "epoch": 0.51, + "learning_rate": 1.0315080690039391e-05, + "loss": 0.7202, + "step": 3194 + }, + { + "epoch": 0.51, + "learning_rate": 1.0309959081707428e-05, + "loss": 0.6619, + "step": 3195 + }, + { + "epoch": 0.51, + "learning_rate": 1.0304837391991005e-05, + "loss": 0.2898, + "step": 3196 + }, + { + "epoch": 0.51, + "learning_rate": 1.0299715622234903e-05, + "loss": 0.7324, + "step": 3197 + }, + { + "epoch": 0.51, + "learning_rate": 1.029459377378392e-05, + "loss": 0.7218, + "step": 3198 + }, + { + "epoch": 0.51, + "learning_rate": 1.0289471847982877e-05, + "loss": 0.8081, + "step": 3199 + }, + { + "epoch": 0.51, + "learning_rate": 1.0284349846176609e-05, + "loss": 0.7561, + "step": 3200 + }, + { + "epoch": 0.51, + "learning_rate": 1.0279227769709978e-05, + "loss": 0.7234, + "step": 3201 + }, + { + "epoch": 0.51, + "learning_rate": 1.0274105619927863e-05, + "loss": 0.7692, + "step": 3202 + }, + { + "epoch": 0.51, + "learning_rate": 1.026898339817516e-05, + "loss": 0.7561, + "step": 3203 + }, + { + "epoch": 0.51, + "learning_rate": 1.0263861105796787e-05, + "loss": 0.6963, + "step": 3204 + }, + { + "epoch": 0.51, + "learning_rate": 1.025873874413768e-05, + "loss": 0.7462, + "step": 3205 + }, + { + "epoch": 0.51, + "learning_rate": 1.0253616314542797e-05, + "loss": 0.7815, + "step": 3206 + }, + { + "epoch": 0.51, + "learning_rate": 1.0248493818357097e-05, + "loss": 0.2956, + "step": 3207 + }, + { + "epoch": 0.51, + "learning_rate": 1.024337125692558e-05, + "loss": 0.7598, + "step": 3208 + }, + { + "epoch": 0.51, + "learning_rate": 1.0238248631593252e-05, + "loss": 0.7639, + "step": 3209 + }, + { + "epoch": 0.51, + "learning_rate": 1.0233125943705131e-05, + "loss": 0.7517, + "step": 3210 + }, + { + "epoch": 0.51, + "learning_rate": 1.0228003194606258e-05, + "loss": 0.7433, + "step": 3211 + }, + { + "epoch": 0.51, + "learning_rate": 1.0222880385641692e-05, + "loss": 0.7279, + "step": 3212 + }, + { + "epoch": 0.51, + "learning_rate": 1.02177575181565e-05, + "loss": 0.7865, + "step": 3213 + }, + { + "epoch": 0.51, + "learning_rate": 1.0212634593495767e-05, + "loss": 0.7319, + "step": 3214 + }, + { + "epoch": 0.51, + "learning_rate": 1.02075116130046e-05, + "loss": 0.6912, + "step": 3215 + }, + { + "epoch": 0.51, + "learning_rate": 1.020238857802811e-05, + "loss": 0.7156, + "step": 3216 + }, + { + "epoch": 0.51, + "learning_rate": 1.0197265489911431e-05, + "loss": 0.729, + "step": 3217 + }, + { + "epoch": 0.51, + "learning_rate": 1.019214234999971e-05, + "loss": 0.7909, + "step": 3218 + }, + { + "epoch": 0.51, + "learning_rate": 1.0187019159638098e-05, + "loss": 0.7413, + "step": 3219 + }, + { + "epoch": 0.51, + "learning_rate": 1.0181895920171772e-05, + "loss": 0.7666, + "step": 3220 + }, + { + "epoch": 0.51, + "learning_rate": 1.0176772632945911e-05, + "loss": 0.287, + "step": 3221 + }, + { + "epoch": 0.51, + "learning_rate": 1.0171649299305714e-05, + "loss": 0.7416, + "step": 3222 + }, + { + "epoch": 0.51, + "learning_rate": 1.0166525920596395e-05, + "loss": 0.7539, + "step": 3223 + }, + { + "epoch": 0.51, + "learning_rate": 1.016140249816317e-05, + "loss": 0.7651, + "step": 3224 + }, + { + "epoch": 0.51, + "learning_rate": 1.015627903335127e-05, + "loss": 0.7347, + "step": 3225 + }, + { + "epoch": 0.51, + "learning_rate": 1.015115552750594e-05, + "loss": 0.793, + "step": 3226 + }, + { + "epoch": 0.51, + "learning_rate": 1.0146031981972435e-05, + "loss": 0.7371, + "step": 3227 + }, + { + "epoch": 0.51, + "learning_rate": 1.0140908398096019e-05, + "loss": 0.7603, + "step": 3228 + }, + { + "epoch": 0.51, + "learning_rate": 1.0135784777221969e-05, + "loss": 0.7788, + "step": 3229 + }, + { + "epoch": 0.51, + "learning_rate": 1.0130661120695564e-05, + "loss": 0.7208, + "step": 3230 + }, + { + "epoch": 0.51, + "learning_rate": 1.0125537429862098e-05, + "loss": 0.7645, + "step": 3231 + }, + { + "epoch": 0.51, + "learning_rate": 1.0120413706066878e-05, + "loss": 0.7633, + "step": 3232 + }, + { + "epoch": 0.51, + "learning_rate": 1.0115289950655215e-05, + "loss": 0.6965, + "step": 3233 + }, + { + "epoch": 0.51, + "learning_rate": 1.0110166164972425e-05, + "loss": 0.7292, + "step": 3234 + }, + { + "epoch": 0.51, + "learning_rate": 1.0105042350363842e-05, + "loss": 0.7852, + "step": 3235 + }, + { + "epoch": 0.51, + "learning_rate": 1.0099918508174798e-05, + "loss": 0.7072, + "step": 3236 + }, + { + "epoch": 0.51, + "learning_rate": 1.009479463975063e-05, + "loss": 0.6643, + "step": 3237 + }, + { + "epoch": 0.51, + "learning_rate": 1.0089670746436693e-05, + "loss": 0.7491, + "step": 3238 + }, + { + "epoch": 0.51, + "learning_rate": 1.0084546829578342e-05, + "loss": 0.7285, + "step": 3239 + }, + { + "epoch": 0.51, + "learning_rate": 1.007942289052094e-05, + "loss": 0.7185, + "step": 3240 + }, + { + "epoch": 0.51, + "learning_rate": 1.0074298930609851e-05, + "loss": 0.7996, + "step": 3241 + }, + { + "epoch": 0.51, + "learning_rate": 1.0069174951190455e-05, + "loss": 0.7141, + "step": 3242 + }, + { + "epoch": 0.51, + "learning_rate": 1.0064050953608124e-05, + "loss": 0.8, + "step": 3243 + }, + { + "epoch": 0.51, + "learning_rate": 1.0058926939208244e-05, + "loss": 0.7094, + "step": 3244 + }, + { + "epoch": 0.51, + "learning_rate": 1.0053802909336204e-05, + "loss": 0.7441, + "step": 3245 + }, + { + "epoch": 0.51, + "learning_rate": 1.0048678865337393e-05, + "loss": 0.7617, + "step": 3246 + }, + { + "epoch": 0.51, + "learning_rate": 1.004355480855721e-05, + "loss": 0.7637, + "step": 3247 + }, + { + "epoch": 0.51, + "learning_rate": 1.0038430740341049e-05, + "loss": 0.7386, + "step": 3248 + }, + { + "epoch": 0.51, + "learning_rate": 1.0033306662034317e-05, + "loss": 0.759, + "step": 3249 + }, + { + "epoch": 0.51, + "learning_rate": 1.0028182574982415e-05, + "loss": 0.6959, + "step": 3250 + }, + { + "epoch": 0.51, + "learning_rate": 1.0023058480530747e-05, + "loss": 0.7842, + "step": 3251 + }, + { + "epoch": 0.51, + "learning_rate": 1.001793438002473e-05, + "loss": 0.724, + "step": 3252 + }, + { + "epoch": 0.51, + "learning_rate": 1.001281027480977e-05, + "loss": 0.7361, + "step": 3253 + }, + { + "epoch": 0.51, + "learning_rate": 1.0007686166231274e-05, + "loss": 0.7563, + "step": 3254 + }, + { + "epoch": 0.51, + "learning_rate": 1.0002562055634661e-05, + "loss": 0.7506, + "step": 3255 + }, + { + "epoch": 0.52, + "learning_rate": 9.997437944365342e-06, + "loss": 0.7778, + "step": 3256 + }, + { + "epoch": 0.52, + "learning_rate": 9.992313833768728e-06, + "loss": 0.7683, + "step": 3257 + }, + { + "epoch": 0.52, + "learning_rate": 9.987189725190232e-06, + "loss": 0.7373, + "step": 3258 + }, + { + "epoch": 0.52, + "learning_rate": 9.98206561997527e-06, + "loss": 0.7094, + "step": 3259 + }, + { + "epoch": 0.52, + "learning_rate": 9.976941519469252e-06, + "loss": 0.7793, + "step": 3260 + }, + { + "epoch": 0.52, + "learning_rate": 9.971817425017589e-06, + "loss": 0.7427, + "step": 3261 + }, + { + "epoch": 0.52, + "learning_rate": 9.966693337965687e-06, + "loss": 0.7581, + "step": 3262 + }, + { + "epoch": 0.52, + "learning_rate": 9.961569259658954e-06, + "loss": 0.7113, + "step": 3263 + }, + { + "epoch": 0.52, + "learning_rate": 9.956445191442793e-06, + "loss": 0.31, + "step": 3264 + }, + { + "epoch": 0.52, + "learning_rate": 9.951321134662609e-06, + "loss": 0.7814, + "step": 3265 + }, + { + "epoch": 0.52, + "learning_rate": 9.946197090663798e-06, + "loss": 0.7366, + "step": 3266 + }, + { + "epoch": 0.52, + "learning_rate": 9.941073060791758e-06, + "loss": 0.75, + "step": 3267 + }, + { + "epoch": 0.52, + "learning_rate": 9.935949046391878e-06, + "loss": 0.7578, + "step": 3268 + }, + { + "epoch": 0.52, + "learning_rate": 9.930825048809548e-06, + "loss": 0.7581, + "step": 3269 + }, + { + "epoch": 0.52, + "learning_rate": 9.92570106939015e-06, + "loss": 0.7761, + "step": 3270 + }, + { + "epoch": 0.52, + "learning_rate": 9.920577109479064e-06, + "loss": 0.7299, + "step": 3271 + }, + { + "epoch": 0.52, + "learning_rate": 9.91545317042166e-06, + "loss": 0.739, + "step": 3272 + }, + { + "epoch": 0.52, + "learning_rate": 9.910329253563309e-06, + "loss": 0.715, + "step": 3273 + }, + { + "epoch": 0.52, + "learning_rate": 9.905205360249375e-06, + "loss": 0.6936, + "step": 3274 + }, + { + "epoch": 0.52, + "learning_rate": 9.900081491825208e-06, + "loss": 0.7543, + "step": 3275 + }, + { + "epoch": 0.52, + "learning_rate": 9.894957649636163e-06, + "loss": 0.6802, + "step": 3276 + }, + { + "epoch": 0.52, + "learning_rate": 9.889833835027577e-06, + "loss": 0.681, + "step": 3277 + }, + { + "epoch": 0.52, + "learning_rate": 9.884710049344786e-06, + "loss": 0.7273, + "step": 3278 + }, + { + "epoch": 0.52, + "learning_rate": 9.879586293933124e-06, + "loss": 0.7781, + "step": 3279 + }, + { + "epoch": 0.52, + "learning_rate": 9.874462570137905e-06, + "loss": 0.6694, + "step": 3280 + }, + { + "epoch": 0.52, + "learning_rate": 9.86933887930444e-06, + "loss": 0.7166, + "step": 3281 + }, + { + "epoch": 0.52, + "learning_rate": 9.864215222778036e-06, + "loss": 0.6876, + "step": 3282 + }, + { + "epoch": 0.52, + "learning_rate": 9.859091601903983e-06, + "loss": 0.7756, + "step": 3283 + }, + { + "epoch": 0.52, + "learning_rate": 9.853968018027567e-06, + "loss": 0.7264, + "step": 3284 + }, + { + "epoch": 0.52, + "learning_rate": 9.848844472494065e-06, + "loss": 0.8252, + "step": 3285 + }, + { + "epoch": 0.52, + "learning_rate": 9.843720966648736e-06, + "loss": 0.7239, + "step": 3286 + }, + { + "epoch": 0.52, + "learning_rate": 9.838597501836834e-06, + "loss": 0.8, + "step": 3287 + }, + { + "epoch": 0.52, + "learning_rate": 9.833474079403608e-06, + "loss": 0.6686, + "step": 3288 + }, + { + "epoch": 0.52, + "learning_rate": 9.828350700694288e-06, + "loss": 0.7063, + "step": 3289 + }, + { + "epoch": 0.52, + "learning_rate": 9.823227367054094e-06, + "loss": 0.7668, + "step": 3290 + }, + { + "epoch": 0.52, + "learning_rate": 9.818104079828232e-06, + "loss": 0.7427, + "step": 3291 + }, + { + "epoch": 0.52, + "learning_rate": 9.812980840361905e-06, + "loss": 0.7617, + "step": 3292 + }, + { + "epoch": 0.52, + "learning_rate": 9.807857650000294e-06, + "loss": 0.7681, + "step": 3293 + }, + { + "epoch": 0.52, + "learning_rate": 9.80273451008857e-06, + "loss": 0.7072, + "step": 3294 + }, + { + "epoch": 0.52, + "learning_rate": 9.79761142197189e-06, + "loss": 0.8015, + "step": 3295 + }, + { + "epoch": 0.52, + "learning_rate": 9.792488386995402e-06, + "loss": 0.8049, + "step": 3296 + }, + { + "epoch": 0.52, + "learning_rate": 9.787365406504237e-06, + "loss": 0.8098, + "step": 3297 + }, + { + "epoch": 0.52, + "learning_rate": 9.782242481843505e-06, + "loss": 0.749, + "step": 3298 + }, + { + "epoch": 0.52, + "learning_rate": 9.777119614358313e-06, + "loss": 0.7242, + "step": 3299 + }, + { + "epoch": 0.52, + "learning_rate": 9.771996805393746e-06, + "loss": 0.7373, + "step": 3300 + }, + { + "epoch": 0.52, + "learning_rate": 9.766874056294872e-06, + "loss": 0.7808, + "step": 3301 + }, + { + "epoch": 0.52, + "learning_rate": 9.761751368406751e-06, + "loss": 0.6996, + "step": 3302 + }, + { + "epoch": 0.52, + "learning_rate": 9.75662874307442e-06, + "loss": 0.7252, + "step": 3303 + }, + { + "epoch": 0.52, + "learning_rate": 9.751506181642906e-06, + "loss": 0.7217, + "step": 3304 + }, + { + "epoch": 0.52, + "learning_rate": 9.746383685457207e-06, + "loss": 0.7168, + "step": 3305 + }, + { + "epoch": 0.52, + "learning_rate": 9.74126125586232e-06, + "loss": 0.3347, + "step": 3306 + }, + { + "epoch": 0.52, + "learning_rate": 9.736138894203215e-06, + "loss": 0.7566, + "step": 3307 + }, + { + "epoch": 0.52, + "learning_rate": 9.731016601824842e-06, + "loss": 0.7097, + "step": 3308 + }, + { + "epoch": 0.52, + "learning_rate": 9.725894380072142e-06, + "loss": 0.7837, + "step": 3309 + }, + { + "epoch": 0.52, + "learning_rate": 9.720772230290025e-06, + "loss": 0.7579, + "step": 3310 + }, + { + "epoch": 0.52, + "learning_rate": 9.715650153823393e-06, + "loss": 0.8228, + "step": 3311 + }, + { + "epoch": 0.52, + "learning_rate": 9.710528152017126e-06, + "loss": 0.7703, + "step": 3312 + }, + { + "epoch": 0.52, + "learning_rate": 9.705406226216081e-06, + "loss": 0.7725, + "step": 3313 + }, + { + "epoch": 0.52, + "learning_rate": 9.7002843777651e-06, + "loss": 0.7327, + "step": 3314 + }, + { + "epoch": 0.52, + "learning_rate": 9.695162608008997e-06, + "loss": 0.7692, + "step": 3315 + }, + { + "epoch": 0.52, + "learning_rate": 9.690040918292575e-06, + "loss": 0.7283, + "step": 3316 + }, + { + "epoch": 0.52, + "learning_rate": 9.68491930996061e-06, + "loss": 0.7379, + "step": 3317 + }, + { + "epoch": 0.52, + "learning_rate": 9.67979778435786e-06, + "loss": 0.782, + "step": 3318 + }, + { + "epoch": 0.53, + "learning_rate": 9.674676342829052e-06, + "loss": 0.7959, + "step": 3319 + }, + { + "epoch": 0.53, + "learning_rate": 9.669554986718908e-06, + "loss": 0.7197, + "step": 3320 + }, + { + "epoch": 0.53, + "learning_rate": 9.664433717372112e-06, + "loss": 0.7742, + "step": 3321 + }, + { + "epoch": 0.53, + "learning_rate": 9.659312536133331e-06, + "loss": 0.7693, + "step": 3322 + }, + { + "epoch": 0.53, + "learning_rate": 9.65419144434721e-06, + "loss": 0.7275, + "step": 3323 + }, + { + "epoch": 0.53, + "learning_rate": 9.649070443358368e-06, + "loss": 0.7476, + "step": 3324 + }, + { + "epoch": 0.53, + "learning_rate": 9.6439495345114e-06, + "loss": 0.7146, + "step": 3325 + }, + { + "epoch": 0.53, + "learning_rate": 9.638828719150884e-06, + "loss": 0.6992, + "step": 3326 + }, + { + "epoch": 0.53, + "learning_rate": 9.633707998621362e-06, + "loss": 0.6846, + "step": 3327 + }, + { + "epoch": 0.53, + "learning_rate": 9.628587374267361e-06, + "loss": 0.7222, + "step": 3328 + }, + { + "epoch": 0.53, + "learning_rate": 9.623466847433374e-06, + "loss": 0.7949, + "step": 3329 + }, + { + "epoch": 0.53, + "learning_rate": 9.618346419463877e-06, + "loss": 0.7008, + "step": 3330 + }, + { + "epoch": 0.53, + "learning_rate": 9.613226091703315e-06, + "loss": 0.7462, + "step": 3331 + }, + { + "epoch": 0.53, + "learning_rate": 9.608105865496105e-06, + "loss": 0.7878, + "step": 3332 + }, + { + "epoch": 0.53, + "learning_rate": 9.602985742186648e-06, + "loss": 0.2985, + "step": 3333 + }, + { + "epoch": 0.53, + "learning_rate": 9.597865723119302e-06, + "loss": 0.7238, + "step": 3334 + }, + { + "epoch": 0.53, + "learning_rate": 9.592745809638405e-06, + "loss": 0.7654, + "step": 3335 + }, + { + "epoch": 0.53, + "learning_rate": 9.587626003088273e-06, + "loss": 0.2864, + "step": 3336 + }, + { + "epoch": 0.53, + "learning_rate": 9.582506304813185e-06, + "loss": 0.8154, + "step": 3337 + }, + { + "epoch": 0.53, + "learning_rate": 9.577386716157396e-06, + "loss": 0.2927, + "step": 3338 + }, + { + "epoch": 0.53, + "learning_rate": 9.572267238465136e-06, + "loss": 0.2734, + "step": 3339 + }, + { + "epoch": 0.53, + "learning_rate": 9.567147873080598e-06, + "loss": 0.6818, + "step": 3340 + }, + { + "epoch": 0.53, + "learning_rate": 9.562028621347948e-06, + "loss": 0.7941, + "step": 3341 + }, + { + "epoch": 0.53, + "learning_rate": 9.556909484611323e-06, + "loss": 0.6832, + "step": 3342 + }, + { + "epoch": 0.53, + "learning_rate": 9.551790464214835e-06, + "loss": 0.7194, + "step": 3343 + }, + { + "epoch": 0.53, + "learning_rate": 9.546671561502556e-06, + "loss": 0.7622, + "step": 3344 + }, + { + "epoch": 0.53, + "learning_rate": 9.541552777818533e-06, + "loss": 0.7747, + "step": 3345 + }, + { + "epoch": 0.53, + "learning_rate": 9.536434114506778e-06, + "loss": 0.7402, + "step": 3346 + }, + { + "epoch": 0.53, + "learning_rate": 9.531315572911275e-06, + "loss": 0.728, + "step": 3347 + }, + { + "epoch": 0.53, + "learning_rate": 9.526197154375973e-06, + "loss": 0.7412, + "step": 3348 + }, + { + "epoch": 0.53, + "learning_rate": 9.521078860244795e-06, + "loss": 0.8005, + "step": 3349 + }, + { + "epoch": 0.53, + "learning_rate": 9.515960691861625e-06, + "loss": 0.7266, + "step": 3350 + }, + { + "epoch": 0.53, + "learning_rate": 9.510842650570315e-06, + "loss": 0.3092, + "step": 3351 + }, + { + "epoch": 0.53, + "learning_rate": 9.50572473771468e-06, + "loss": 0.7273, + "step": 3352 + }, + { + "epoch": 0.53, + "learning_rate": 9.500606954638514e-06, + "loss": 0.6776, + "step": 3353 + }, + { + "epoch": 0.53, + "learning_rate": 9.495489302685563e-06, + "loss": 0.7852, + "step": 3354 + }, + { + "epoch": 0.53, + "learning_rate": 9.490371783199545e-06, + "loss": 0.7823, + "step": 3355 + }, + { + "epoch": 0.53, + "learning_rate": 9.485254397524146e-06, + "loss": 0.7347, + "step": 3356 + }, + { + "epoch": 0.53, + "learning_rate": 9.480137147003009e-06, + "loss": 0.7395, + "step": 3357 + }, + { + "epoch": 0.53, + "learning_rate": 9.475020032979742e-06, + "loss": 0.7106, + "step": 3358 + }, + { + "epoch": 0.53, + "learning_rate": 9.46990305679793e-06, + "loss": 0.7402, + "step": 3359 + }, + { + "epoch": 0.53, + "learning_rate": 9.464786219801107e-06, + "loss": 0.7432, + "step": 3360 + }, + { + "epoch": 0.53, + "learning_rate": 9.459669523332778e-06, + "loss": 0.743, + "step": 3361 + }, + { + "epoch": 0.53, + "learning_rate": 9.454552968736408e-06, + "loss": 0.7968, + "step": 3362 + }, + { + "epoch": 0.53, + "learning_rate": 9.449436557355426e-06, + "loss": 0.7438, + "step": 3363 + }, + { + "epoch": 0.53, + "learning_rate": 9.444320290533224e-06, + "loss": 0.7297, + "step": 3364 + }, + { + "epoch": 0.53, + "learning_rate": 9.439204169613157e-06, + "loss": 0.6978, + "step": 3365 + }, + { + "epoch": 0.53, + "learning_rate": 9.434088195938537e-06, + "loss": 0.8213, + "step": 3366 + }, + { + "epoch": 0.53, + "learning_rate": 9.428972370852643e-06, + "loss": 0.7611, + "step": 3367 + }, + { + "epoch": 0.53, + "learning_rate": 9.423856695698715e-06, + "loss": 0.2921, + "step": 3368 + }, + { + "epoch": 0.53, + "learning_rate": 9.418741171819944e-06, + "loss": 0.7269, + "step": 3369 + }, + { + "epoch": 0.53, + "learning_rate": 9.413625800559493e-06, + "loss": 0.7522, + "step": 3370 + }, + { + "epoch": 0.53, + "learning_rate": 9.408510583260478e-06, + "loss": 0.7241, + "step": 3371 + }, + { + "epoch": 0.53, + "learning_rate": 9.403395521265977e-06, + "loss": 0.8193, + "step": 3372 + }, + { + "epoch": 0.53, + "learning_rate": 9.39828061591903e-06, + "loss": 0.7646, + "step": 3373 + }, + { + "epoch": 0.53, + "learning_rate": 9.393165868562632e-06, + "loss": 0.7461, + "step": 3374 + }, + { + "epoch": 0.53, + "learning_rate": 9.388051280539735e-06, + "loss": 0.7412, + "step": 3375 + }, + { + "epoch": 0.53, + "learning_rate": 9.382936853193252e-06, + "loss": 0.6915, + "step": 3376 + }, + { + "epoch": 0.53, + "learning_rate": 9.377822587866058e-06, + "loss": 0.7487, + "step": 3377 + }, + { + "epoch": 0.53, + "learning_rate": 9.372708485900976e-06, + "loss": 0.6852, + "step": 3378 + }, + { + "epoch": 0.53, + "learning_rate": 9.367594548640792e-06, + "loss": 0.2557, + "step": 3379 + }, + { + "epoch": 0.53, + "learning_rate": 9.362480777428253e-06, + "loss": 0.75, + "step": 3380 + }, + { + "epoch": 0.53, + "learning_rate": 9.35736717360605e-06, + "loss": 0.781, + "step": 3381 + }, + { + "epoch": 0.54, + "learning_rate": 9.352253738516837e-06, + "loss": 0.7526, + "step": 3382 + }, + { + "epoch": 0.54, + "learning_rate": 9.347140473503229e-06, + "loss": 0.757, + "step": 3383 + }, + { + "epoch": 0.54, + "learning_rate": 9.342027379907787e-06, + "loss": 0.7747, + "step": 3384 + }, + { + "epoch": 0.54, + "learning_rate": 9.336914459073035e-06, + "loss": 0.2954, + "step": 3385 + }, + { + "epoch": 0.54, + "learning_rate": 9.331801712341445e-06, + "loss": 0.6766, + "step": 3386 + }, + { + "epoch": 0.54, + "learning_rate": 9.326689141055448e-06, + "loss": 0.7793, + "step": 3387 + }, + { + "epoch": 0.54, + "learning_rate": 9.321576746557426e-06, + "loss": 0.7407, + "step": 3388 + }, + { + "epoch": 0.54, + "learning_rate": 9.316464530189715e-06, + "loss": 0.6549, + "step": 3389 + }, + { + "epoch": 0.54, + "learning_rate": 9.311352493294608e-06, + "loss": 0.738, + "step": 3390 + }, + { + "epoch": 0.54, + "learning_rate": 9.306240637214347e-06, + "loss": 0.7441, + "step": 3391 + }, + { + "epoch": 0.54, + "learning_rate": 9.301128963291128e-06, + "loss": 0.814, + "step": 3392 + }, + { + "epoch": 0.54, + "learning_rate": 9.296017472867092e-06, + "loss": 0.7379, + "step": 3393 + }, + { + "epoch": 0.54, + "learning_rate": 9.290906167284346e-06, + "loss": 0.803, + "step": 3394 + }, + { + "epoch": 0.54, + "learning_rate": 9.285795047884934e-06, + "loss": 0.7362, + "step": 3395 + }, + { + "epoch": 0.54, + "learning_rate": 9.280684116010864e-06, + "loss": 0.7609, + "step": 3396 + }, + { + "epoch": 0.54, + "learning_rate": 9.275573373004087e-06, + "loss": 0.7134, + "step": 3397 + }, + { + "epoch": 0.54, + "learning_rate": 9.270462820206506e-06, + "loss": 0.7108, + "step": 3398 + }, + { + "epoch": 0.54, + "learning_rate": 9.265352458959969e-06, + "loss": 0.7035, + "step": 3399 + }, + { + "epoch": 0.54, + "learning_rate": 9.260242290606287e-06, + "loss": 0.7396, + "step": 3400 + }, + { + "epoch": 0.54, + "learning_rate": 9.255132316487208e-06, + "loss": 0.7561, + "step": 3401 + }, + { + "epoch": 0.54, + "learning_rate": 9.250022537944434e-06, + "loss": 0.7279, + "step": 3402 + }, + { + "epoch": 0.54, + "learning_rate": 9.244912956319618e-06, + "loss": 0.6929, + "step": 3403 + }, + { + "epoch": 0.54, + "learning_rate": 9.239803572954352e-06, + "loss": 0.8083, + "step": 3404 + }, + { + "epoch": 0.54, + "learning_rate": 9.23469438919018e-06, + "loss": 0.6907, + "step": 3405 + }, + { + "epoch": 0.54, + "learning_rate": 9.229585406368604e-06, + "loss": 0.7605, + "step": 3406 + }, + { + "epoch": 0.54, + "learning_rate": 9.224476625831064e-06, + "loss": 0.7307, + "step": 3407 + }, + { + "epoch": 0.54, + "learning_rate": 9.219368048918942e-06, + "loss": 0.7798, + "step": 3408 + }, + { + "epoch": 0.54, + "learning_rate": 9.214259676973575e-06, + "loss": 0.7615, + "step": 3409 + }, + { + "epoch": 0.54, + "learning_rate": 9.209151511336246e-06, + "loss": 0.7146, + "step": 3410 + }, + { + "epoch": 0.54, + "learning_rate": 9.204043553348179e-06, + "loss": 0.7341, + "step": 3411 + }, + { + "epoch": 0.54, + "learning_rate": 9.198935804350545e-06, + "loss": 0.7717, + "step": 3412 + }, + { + "epoch": 0.54, + "learning_rate": 9.19382826568446e-06, + "loss": 0.7327, + "step": 3413 + }, + { + "epoch": 0.54, + "learning_rate": 9.188720938690993e-06, + "loss": 0.6981, + "step": 3414 + }, + { + "epoch": 0.54, + "learning_rate": 9.183613824711146e-06, + "loss": 0.7673, + "step": 3415 + }, + { + "epoch": 0.54, + "learning_rate": 9.178506925085864e-06, + "loss": 0.8232, + "step": 3416 + }, + { + "epoch": 0.54, + "learning_rate": 9.173400241156046e-06, + "loss": 0.7834, + "step": 3417 + }, + { + "epoch": 0.54, + "learning_rate": 9.168293774262528e-06, + "loss": 0.738, + "step": 3418 + }, + { + "epoch": 0.54, + "learning_rate": 9.16318752574609e-06, + "loss": 0.7693, + "step": 3419 + }, + { + "epoch": 0.54, + "learning_rate": 9.158081496947457e-06, + "loss": 0.7518, + "step": 3420 + }, + { + "epoch": 0.54, + "learning_rate": 9.152975689207294e-06, + "loss": 0.6843, + "step": 3421 + }, + { + "epoch": 0.54, + "learning_rate": 9.147870103866206e-06, + "loss": 0.7437, + "step": 3422 + }, + { + "epoch": 0.54, + "learning_rate": 9.142764742264741e-06, + "loss": 0.8367, + "step": 3423 + }, + { + "epoch": 0.54, + "learning_rate": 9.137659605743395e-06, + "loss": 0.7133, + "step": 3424 + }, + { + "epoch": 0.54, + "learning_rate": 9.132554695642593e-06, + "loss": 0.8184, + "step": 3425 + }, + { + "epoch": 0.54, + "learning_rate": 9.12745001330271e-06, + "loss": 0.7002, + "step": 3426 + }, + { + "epoch": 0.54, + "learning_rate": 9.122345560064057e-06, + "loss": 0.7627, + "step": 3427 + }, + { + "epoch": 0.54, + "learning_rate": 9.117241337266885e-06, + "loss": 0.697, + "step": 3428 + }, + { + "epoch": 0.54, + "learning_rate": 9.112137346251382e-06, + "loss": 0.7157, + "step": 3429 + }, + { + "epoch": 0.54, + "learning_rate": 9.107033588357684e-06, + "loss": 0.7238, + "step": 3430 + }, + { + "epoch": 0.54, + "learning_rate": 9.101930064925857e-06, + "loss": 0.7556, + "step": 3431 + }, + { + "epoch": 0.54, + "learning_rate": 9.09682677729591e-06, + "loss": 0.7096, + "step": 3432 + }, + { + "epoch": 0.54, + "learning_rate": 9.091723726807784e-06, + "loss": 0.7114, + "step": 3433 + }, + { + "epoch": 0.54, + "learning_rate": 9.086620914801367e-06, + "loss": 0.8181, + "step": 3434 + }, + { + "epoch": 0.54, + "learning_rate": 9.081518342616479e-06, + "loss": 0.7345, + "step": 3435 + }, + { + "epoch": 0.54, + "learning_rate": 9.076416011592876e-06, + "loss": 0.7068, + "step": 3436 + }, + { + "epoch": 0.54, + "learning_rate": 9.071313923070256e-06, + "loss": 0.6646, + "step": 3437 + }, + { + "epoch": 0.54, + "learning_rate": 9.066212078388245e-06, + "loss": 0.7015, + "step": 3438 + }, + { + "epoch": 0.54, + "learning_rate": 9.061110478886417e-06, + "loss": 0.7766, + "step": 3439 + }, + { + "epoch": 0.54, + "learning_rate": 9.056009125904265e-06, + "loss": 0.7721, + "step": 3440 + }, + { + "epoch": 0.54, + "learning_rate": 9.05090802078123e-06, + "loss": 0.7861, + "step": 3441 + }, + { + "epoch": 0.54, + "learning_rate": 9.045807164856684e-06, + "loss": 0.7246, + "step": 3442 + }, + { + "epoch": 0.54, + "learning_rate": 9.040706559469938e-06, + "loss": 0.73, + "step": 3443 + }, + { + "epoch": 0.54, + "learning_rate": 9.035606205960232e-06, + "loss": 0.7317, + "step": 3444 + }, + { + "epoch": 0.55, + "learning_rate": 9.030506105666736e-06, + "loss": 0.7625, + "step": 3445 + }, + { + "epoch": 0.55, + "learning_rate": 9.025406259928563e-06, + "loss": 0.7463, + "step": 3446 + }, + { + "epoch": 0.55, + "learning_rate": 9.020306670084755e-06, + "loss": 0.7366, + "step": 3447 + }, + { + "epoch": 0.55, + "learning_rate": 9.015207337474286e-06, + "loss": 0.7605, + "step": 3448 + }, + { + "epoch": 0.55, + "learning_rate": 9.010108263436063e-06, + "loss": 0.7917, + "step": 3449 + }, + { + "epoch": 0.55, + "learning_rate": 9.005009449308924e-06, + "loss": 0.7416, + "step": 3450 + }, + { + "epoch": 0.55, + "learning_rate": 8.999910896431647e-06, + "loss": 0.8257, + "step": 3451 + }, + { + "epoch": 0.55, + "learning_rate": 8.994812606142922e-06, + "loss": 0.7437, + "step": 3452 + }, + { + "epoch": 0.55, + "learning_rate": 8.98971457978139e-06, + "loss": 0.7769, + "step": 3453 + }, + { + "epoch": 0.55, + "learning_rate": 8.984616818685617e-06, + "loss": 0.8015, + "step": 3454 + }, + { + "epoch": 0.55, + "learning_rate": 8.979519324194093e-06, + "loss": 0.7745, + "step": 3455 + }, + { + "epoch": 0.55, + "learning_rate": 8.974422097645242e-06, + "loss": 0.7239, + "step": 3456 + }, + { + "epoch": 0.55, + "learning_rate": 8.969325140377421e-06, + "loss": 0.7708, + "step": 3457 + }, + { + "epoch": 0.55, + "learning_rate": 8.964228453728912e-06, + "loss": 0.7296, + "step": 3458 + }, + { + "epoch": 0.55, + "learning_rate": 8.95913203903793e-06, + "loss": 0.6759, + "step": 3459 + }, + { + "epoch": 0.55, + "learning_rate": 8.95403589764261e-06, + "loss": 0.7659, + "step": 3460 + }, + { + "epoch": 0.55, + "learning_rate": 8.948940030881028e-06, + "loss": 0.7468, + "step": 3461 + }, + { + "epoch": 0.55, + "learning_rate": 8.94384444009118e-06, + "loss": 0.7014, + "step": 3462 + }, + { + "epoch": 0.55, + "learning_rate": 8.938749126610987e-06, + "loss": 0.748, + "step": 3463 + }, + { + "epoch": 0.55, + "learning_rate": 8.933654091778303e-06, + "loss": 0.7631, + "step": 3464 + }, + { + "epoch": 0.55, + "learning_rate": 8.928559336930905e-06, + "loss": 0.7577, + "step": 3465 + }, + { + "epoch": 0.55, + "learning_rate": 8.923464863406497e-06, + "loss": 0.7522, + "step": 3466 + }, + { + "epoch": 0.55, + "learning_rate": 8.918370672542717e-06, + "loss": 0.7551, + "step": 3467 + }, + { + "epoch": 0.55, + "learning_rate": 8.913276765677116e-06, + "loss": 0.6951, + "step": 3468 + }, + { + "epoch": 0.55, + "learning_rate": 8.908183144147178e-06, + "loss": 0.7493, + "step": 3469 + }, + { + "epoch": 0.55, + "learning_rate": 8.903089809290309e-06, + "loss": 0.741, + "step": 3470 + }, + { + "epoch": 0.55, + "learning_rate": 8.897996762443845e-06, + "loss": 0.7925, + "step": 3471 + }, + { + "epoch": 0.55, + "learning_rate": 8.892904004945041e-06, + "loss": 0.7764, + "step": 3472 + }, + { + "epoch": 0.55, + "learning_rate": 8.887811538131078e-06, + "loss": 0.7015, + "step": 3473 + }, + { + "epoch": 0.55, + "learning_rate": 8.882719363339061e-06, + "loss": 0.7095, + "step": 3474 + }, + { + "epoch": 0.55, + "learning_rate": 8.877627481906016e-06, + "loss": 0.7904, + "step": 3475 + }, + { + "epoch": 0.55, + "learning_rate": 8.872535895168889e-06, + "loss": 0.684, + "step": 3476 + }, + { + "epoch": 0.55, + "learning_rate": 8.867444604464562e-06, + "loss": 0.7136, + "step": 3477 + }, + { + "epoch": 0.55, + "learning_rate": 8.862353611129828e-06, + "loss": 0.2899, + "step": 3478 + }, + { + "epoch": 0.55, + "learning_rate": 8.857262916501402e-06, + "loss": 0.7158, + "step": 3479 + }, + { + "epoch": 0.55, + "learning_rate": 8.852172521915923e-06, + "loss": 0.6897, + "step": 3480 + }, + { + "epoch": 0.55, + "learning_rate": 8.847082428709956e-06, + "loss": 0.7303, + "step": 3481 + }, + { + "epoch": 0.55, + "learning_rate": 8.841992638219977e-06, + "loss": 0.7078, + "step": 3482 + }, + { + "epoch": 0.55, + "learning_rate": 8.836903151782392e-06, + "loss": 0.7173, + "step": 3483 + }, + { + "epoch": 0.55, + "learning_rate": 8.831813970733516e-06, + "loss": 0.72, + "step": 3484 + }, + { + "epoch": 0.55, + "learning_rate": 8.8267250964096e-06, + "loss": 0.7296, + "step": 3485 + }, + { + "epoch": 0.55, + "learning_rate": 8.8216365301468e-06, + "loss": 0.7706, + "step": 3486 + }, + { + "epoch": 0.55, + "learning_rate": 8.816548273281197e-06, + "loss": 0.7611, + "step": 3487 + }, + { + "epoch": 0.55, + "learning_rate": 8.811460327148787e-06, + "loss": 0.6925, + "step": 3488 + }, + { + "epoch": 0.55, + "learning_rate": 8.806372693085491e-06, + "loss": 0.7256, + "step": 3489 + }, + { + "epoch": 0.55, + "learning_rate": 8.801285372427142e-06, + "loss": 0.8176, + "step": 3490 + }, + { + "epoch": 0.55, + "learning_rate": 8.796198366509495e-06, + "loss": 0.7954, + "step": 3491 + }, + { + "epoch": 0.55, + "learning_rate": 8.791111676668221e-06, + "loss": 0.7458, + "step": 3492 + }, + { + "epoch": 0.55, + "learning_rate": 8.786025304238905e-06, + "loss": 0.7709, + "step": 3493 + }, + { + "epoch": 0.55, + "learning_rate": 8.780939250557055e-06, + "loss": 0.7976, + "step": 3494 + }, + { + "epoch": 0.55, + "learning_rate": 8.775853516958089e-06, + "loss": 0.7476, + "step": 3495 + }, + { + "epoch": 0.55, + "learning_rate": 8.770768104777344e-06, + "loss": 0.6931, + "step": 3496 + }, + { + "epoch": 0.55, + "learning_rate": 8.76568301535007e-06, + "loss": 0.73, + "step": 3497 + }, + { + "epoch": 0.55, + "learning_rate": 8.760598250011442e-06, + "loss": 0.6621, + "step": 3498 + }, + { + "epoch": 0.55, + "learning_rate": 8.75551381009653e-06, + "loss": 0.7522, + "step": 3499 + }, + { + "epoch": 0.55, + "learning_rate": 8.75042969694034e-06, + "loss": 0.7628, + "step": 3500 + }, + { + "epoch": 0.55, + "learning_rate": 8.74534591187778e-06, + "loss": 0.7666, + "step": 3501 + }, + { + "epoch": 0.55, + "learning_rate": 8.740262456243676e-06, + "loss": 0.7347, + "step": 3502 + }, + { + "epoch": 0.55, + "learning_rate": 8.735179331372763e-06, + "loss": 0.7688, + "step": 3503 + }, + { + "epoch": 0.55, + "learning_rate": 8.730096538599696e-06, + "loss": 0.7544, + "step": 3504 + }, + { + "epoch": 0.55, + "learning_rate": 8.72501407925904e-06, + "loss": 0.7476, + "step": 3505 + }, + { + "epoch": 0.55, + "learning_rate": 8.71993195468527e-06, + "loss": 0.7853, + "step": 3506 + }, + { + "epoch": 0.55, + "learning_rate": 8.714850166212772e-06, + "loss": 0.7644, + "step": 3507 + }, + { + "epoch": 0.55, + "learning_rate": 8.709768715175852e-06, + "loss": 0.6847, + "step": 3508 + }, + { + "epoch": 0.56, + "learning_rate": 8.704687602908722e-06, + "loss": 0.7214, + "step": 3509 + }, + { + "epoch": 0.56, + "learning_rate": 8.6996068307455e-06, + "loss": 0.7227, + "step": 3510 + }, + { + "epoch": 0.56, + "learning_rate": 8.694526400020222e-06, + "loss": 0.7322, + "step": 3511 + }, + { + "epoch": 0.56, + "learning_rate": 8.689446312066834e-06, + "loss": 0.6667, + "step": 3512 + }, + { + "epoch": 0.56, + "learning_rate": 8.684366568219186e-06, + "loss": 0.6852, + "step": 3513 + }, + { + "epoch": 0.56, + "learning_rate": 8.679287169811045e-06, + "loss": 0.6941, + "step": 3514 + }, + { + "epoch": 0.56, + "learning_rate": 8.674208118176086e-06, + "loss": 0.7192, + "step": 3515 + }, + { + "epoch": 0.56, + "learning_rate": 8.669129414647887e-06, + "loss": 0.6787, + "step": 3516 + }, + { + "epoch": 0.56, + "learning_rate": 8.664051060559938e-06, + "loss": 0.7032, + "step": 3517 + }, + { + "epoch": 0.56, + "learning_rate": 8.658973057245643e-06, + "loss": 0.6995, + "step": 3518 + }, + { + "epoch": 0.56, + "learning_rate": 8.653895406038306e-06, + "loss": 0.7701, + "step": 3519 + }, + { + "epoch": 0.56, + "learning_rate": 8.648818108271141e-06, + "loss": 0.7454, + "step": 3520 + }, + { + "epoch": 0.56, + "learning_rate": 8.643741165277272e-06, + "loss": 0.6799, + "step": 3521 + }, + { + "epoch": 0.56, + "learning_rate": 8.638664578389722e-06, + "loss": 0.7476, + "step": 3522 + }, + { + "epoch": 0.56, + "learning_rate": 8.633588348941427e-06, + "loss": 0.7271, + "step": 3523 + }, + { + "epoch": 0.56, + "learning_rate": 8.628512478265232e-06, + "loss": 0.7478, + "step": 3524 + }, + { + "epoch": 0.56, + "learning_rate": 8.623436967693883e-06, + "loss": 0.7123, + "step": 3525 + }, + { + "epoch": 0.56, + "learning_rate": 8.61836181856003e-06, + "loss": 0.7397, + "step": 3526 + }, + { + "epoch": 0.56, + "learning_rate": 8.613287032196228e-06, + "loss": 0.7428, + "step": 3527 + }, + { + "epoch": 0.56, + "learning_rate": 8.608212609934947e-06, + "loss": 0.8015, + "step": 3528 + }, + { + "epoch": 0.56, + "learning_rate": 8.603138553108547e-06, + "loss": 0.6823, + "step": 3529 + }, + { + "epoch": 0.56, + "learning_rate": 8.5980648630493e-06, + "loss": 0.7797, + "step": 3530 + }, + { + "epoch": 0.56, + "learning_rate": 8.59299154108938e-06, + "loss": 0.7744, + "step": 3531 + }, + { + "epoch": 0.56, + "learning_rate": 8.587918588560868e-06, + "loss": 0.7771, + "step": 3532 + }, + { + "epoch": 0.56, + "learning_rate": 8.582846006795741e-06, + "loss": 0.7473, + "step": 3533 + }, + { + "epoch": 0.56, + "learning_rate": 8.577773797125885e-06, + "loss": 0.7295, + "step": 3534 + }, + { + "epoch": 0.56, + "learning_rate": 8.572701960883082e-06, + "loss": 0.6787, + "step": 3535 + }, + { + "epoch": 0.56, + "learning_rate": 8.56763049939902e-06, + "loss": 0.7311, + "step": 3536 + }, + { + "epoch": 0.56, + "learning_rate": 8.56255941400529e-06, + "loss": 0.7125, + "step": 3537 + }, + { + "epoch": 0.56, + "learning_rate": 8.557488706033383e-06, + "loss": 0.8149, + "step": 3538 + }, + { + "epoch": 0.56, + "learning_rate": 8.55241837681469e-06, + "loss": 0.7239, + "step": 3539 + }, + { + "epoch": 0.56, + "learning_rate": 8.5473484276805e-06, + "loss": 0.7067, + "step": 3540 + }, + { + "epoch": 0.56, + "learning_rate": 8.542278859962003e-06, + "loss": 0.6807, + "step": 3541 + }, + { + "epoch": 0.56, + "learning_rate": 8.5372096749903e-06, + "loss": 0.7913, + "step": 3542 + }, + { + "epoch": 0.56, + "learning_rate": 8.532140874096377e-06, + "loss": 0.7197, + "step": 3543 + }, + { + "epoch": 0.56, + "learning_rate": 8.52707245861112e-06, + "loss": 0.7295, + "step": 3544 + }, + { + "epoch": 0.56, + "learning_rate": 8.522004429865331e-06, + "loss": 0.7646, + "step": 3545 + }, + { + "epoch": 0.56, + "learning_rate": 8.516936789189687e-06, + "loss": 0.7329, + "step": 3546 + }, + { + "epoch": 0.56, + "learning_rate": 8.511869537914772e-06, + "loss": 0.7554, + "step": 3547 + }, + { + "epoch": 0.56, + "learning_rate": 8.506802677371079e-06, + "loss": 0.6426, + "step": 3548 + }, + { + "epoch": 0.56, + "learning_rate": 8.501736208888983e-06, + "loss": 0.6868, + "step": 3549 + }, + { + "epoch": 0.56, + "learning_rate": 8.496670133798762e-06, + "loss": 0.7959, + "step": 3550 + }, + { + "epoch": 0.56, + "learning_rate": 8.491604453430594e-06, + "loss": 0.7595, + "step": 3551 + }, + { + "epoch": 0.56, + "learning_rate": 8.486539169114549e-06, + "loss": 0.7083, + "step": 3552 + }, + { + "epoch": 0.56, + "learning_rate": 8.481474282180592e-06, + "loss": 0.748, + "step": 3553 + }, + { + "epoch": 0.56, + "learning_rate": 8.476409793958586e-06, + "loss": 0.7439, + "step": 3554 + }, + { + "epoch": 0.56, + "learning_rate": 8.471345705778295e-06, + "loss": 0.6996, + "step": 3555 + }, + { + "epoch": 0.56, + "learning_rate": 8.466282018969367e-06, + "loss": 0.7209, + "step": 3556 + }, + { + "epoch": 0.56, + "learning_rate": 8.461218734861352e-06, + "loss": 0.7184, + "step": 3557 + }, + { + "epoch": 0.56, + "learning_rate": 8.456155854783689e-06, + "loss": 0.67, + "step": 3558 + }, + { + "epoch": 0.56, + "learning_rate": 8.451093380065717e-06, + "loss": 0.7625, + "step": 3559 + }, + { + "epoch": 0.56, + "learning_rate": 8.44603131203666e-06, + "loss": 0.7423, + "step": 3560 + }, + { + "epoch": 0.56, + "learning_rate": 8.440969652025647e-06, + "loss": 0.7661, + "step": 3561 + }, + { + "epoch": 0.56, + "learning_rate": 8.435908401361692e-06, + "loss": 0.3195, + "step": 3562 + }, + { + "epoch": 0.56, + "learning_rate": 8.430847561373702e-06, + "loss": 0.8086, + "step": 3563 + }, + { + "epoch": 0.56, + "learning_rate": 8.425787133390477e-06, + "loss": 0.2869, + "step": 3564 + }, + { + "epoch": 0.56, + "learning_rate": 8.420727118740712e-06, + "loss": 0.7665, + "step": 3565 + }, + { + "epoch": 0.56, + "learning_rate": 8.415667518752988e-06, + "loss": 0.7522, + "step": 3566 + }, + { + "epoch": 0.56, + "learning_rate": 8.410608334755782e-06, + "loss": 0.6934, + "step": 3567 + }, + { + "epoch": 0.56, + "learning_rate": 8.405549568077457e-06, + "loss": 0.2921, + "step": 3568 + }, + { + "epoch": 0.56, + "learning_rate": 8.400491220046267e-06, + "loss": 0.7584, + "step": 3569 + }, + { + "epoch": 0.56, + "learning_rate": 8.395433291990361e-06, + "loss": 0.728, + "step": 3570 + }, + { + "epoch": 0.56, + "learning_rate": 8.390375785237774e-06, + "loss": 0.2899, + "step": 3571 + }, + { + "epoch": 0.57, + "learning_rate": 8.385318701116433e-06, + "loss": 0.791, + "step": 3572 + }, + { + "epoch": 0.57, + "learning_rate": 8.38026204095415e-06, + "loss": 0.7661, + "step": 3573 + }, + { + "epoch": 0.57, + "learning_rate": 8.375205806078626e-06, + "loss": 0.7388, + "step": 3574 + }, + { + "epoch": 0.57, + "learning_rate": 8.370149997817457e-06, + "loss": 0.762, + "step": 3575 + }, + { + "epoch": 0.57, + "learning_rate": 8.365094617498119e-06, + "loss": 0.682, + "step": 3576 + }, + { + "epoch": 0.57, + "learning_rate": 8.360039666447979e-06, + "loss": 0.7261, + "step": 3577 + }, + { + "epoch": 0.57, + "learning_rate": 8.35498514599429e-06, + "loss": 0.7676, + "step": 3578 + }, + { + "epoch": 0.57, + "learning_rate": 8.349931057464195e-06, + "loss": 0.75, + "step": 3579 + }, + { + "epoch": 0.57, + "learning_rate": 8.344877402184724e-06, + "loss": 0.7036, + "step": 3580 + }, + { + "epoch": 0.57, + "learning_rate": 8.339824181482786e-06, + "loss": 0.7017, + "step": 3581 + }, + { + "epoch": 0.57, + "learning_rate": 8.334771396685181e-06, + "loss": 0.7684, + "step": 3582 + }, + { + "epoch": 0.57, + "learning_rate": 8.329719049118598e-06, + "loss": 0.7734, + "step": 3583 + }, + { + "epoch": 0.57, + "learning_rate": 8.324667140109602e-06, + "loss": 0.7693, + "step": 3584 + }, + { + "epoch": 0.57, + "learning_rate": 8.319615670984652e-06, + "loss": 0.7612, + "step": 3585 + }, + { + "epoch": 0.57, + "learning_rate": 8.314564643070088e-06, + "loss": 0.2845, + "step": 3586 + }, + { + "epoch": 0.57, + "learning_rate": 8.309514057692135e-06, + "loss": 0.2828, + "step": 3587 + }, + { + "epoch": 0.57, + "learning_rate": 8.304463916176894e-06, + "loss": 0.7637, + "step": 3588 + }, + { + "epoch": 0.57, + "learning_rate": 8.299414219850365e-06, + "loss": 0.75, + "step": 3589 + }, + { + "epoch": 0.57, + "learning_rate": 8.294364970038418e-06, + "loss": 0.7649, + "step": 3590 + }, + { + "epoch": 0.57, + "learning_rate": 8.28931616806681e-06, + "loss": 0.7634, + "step": 3591 + }, + { + "epoch": 0.57, + "learning_rate": 8.284267815261186e-06, + "loss": 0.658, + "step": 3592 + }, + { + "epoch": 0.57, + "learning_rate": 8.279219912947058e-06, + "loss": 0.7327, + "step": 3593 + }, + { + "epoch": 0.57, + "learning_rate": 8.274172462449833e-06, + "loss": 0.735, + "step": 3594 + }, + { + "epoch": 0.57, + "learning_rate": 8.269125465094799e-06, + "loss": 0.7667, + "step": 3595 + }, + { + "epoch": 0.57, + "learning_rate": 8.264078922207119e-06, + "loss": 0.7022, + "step": 3596 + }, + { + "epoch": 0.57, + "learning_rate": 8.259032835111837e-06, + "loss": 0.7551, + "step": 3597 + }, + { + "epoch": 0.57, + "learning_rate": 8.253987205133887e-06, + "loss": 0.7032, + "step": 3598 + }, + { + "epoch": 0.57, + "learning_rate": 8.248942033598068e-06, + "loss": 0.7073, + "step": 3599 + }, + { + "epoch": 0.57, + "learning_rate": 8.243897321829071e-06, + "loss": 0.7495, + "step": 3600 + }, + { + "epoch": 0.57, + "learning_rate": 8.238853071151459e-06, + "loss": 0.7809, + "step": 3601 + }, + { + "epoch": 0.57, + "learning_rate": 8.233809282889677e-06, + "loss": 0.7103, + "step": 3602 + }, + { + "epoch": 0.57, + "learning_rate": 8.22876595836805e-06, + "loss": 0.8018, + "step": 3603 + }, + { + "epoch": 0.57, + "learning_rate": 8.22372309891078e-06, + "loss": 0.7771, + "step": 3604 + }, + { + "epoch": 0.57, + "learning_rate": 8.218680705841942e-06, + "loss": 0.7034, + "step": 3605 + }, + { + "epoch": 0.57, + "learning_rate": 8.213638780485493e-06, + "loss": 0.7659, + "step": 3606 + }, + { + "epoch": 0.57, + "learning_rate": 8.208597324165269e-06, + "loss": 0.7086, + "step": 3607 + }, + { + "epoch": 0.57, + "learning_rate": 8.20355633820498e-06, + "loss": 0.7009, + "step": 3608 + }, + { + "epoch": 0.57, + "learning_rate": 8.198515823928217e-06, + "loss": 0.6975, + "step": 3609 + }, + { + "epoch": 0.57, + "learning_rate": 8.19347578265844e-06, + "loss": 0.6951, + "step": 3610 + }, + { + "epoch": 0.57, + "learning_rate": 8.188436215718984e-06, + "loss": 0.6982, + "step": 3611 + }, + { + "epoch": 0.57, + "learning_rate": 8.183397124433072e-06, + "loss": 0.6531, + "step": 3612 + }, + { + "epoch": 0.57, + "learning_rate": 8.178358510123791e-06, + "loss": 0.6975, + "step": 3613 + }, + { + "epoch": 0.57, + "learning_rate": 8.173320374114104e-06, + "loss": 0.733, + "step": 3614 + }, + { + "epoch": 0.57, + "learning_rate": 8.168282717726848e-06, + "loss": 0.7656, + "step": 3615 + }, + { + "epoch": 0.57, + "learning_rate": 8.163245542284745e-06, + "loss": 0.7339, + "step": 3616 + }, + { + "epoch": 0.57, + "learning_rate": 8.158208849110371e-06, + "loss": 0.7495, + "step": 3617 + }, + { + "epoch": 0.57, + "learning_rate": 8.153172639526191e-06, + "loss": 0.7041, + "step": 3618 + }, + { + "epoch": 0.57, + "learning_rate": 8.14813691485454e-06, + "loss": 0.7581, + "step": 3619 + }, + { + "epoch": 0.57, + "learning_rate": 8.14310167641762e-06, + "loss": 0.7266, + "step": 3620 + }, + { + "epoch": 0.57, + "learning_rate": 8.138066925537509e-06, + "loss": 0.6987, + "step": 3621 + }, + { + "epoch": 0.57, + "learning_rate": 8.133032663536162e-06, + "loss": 0.6973, + "step": 3622 + }, + { + "epoch": 0.57, + "learning_rate": 8.127998891735398e-06, + "loss": 0.7949, + "step": 3623 + }, + { + "epoch": 0.57, + "learning_rate": 8.122965611456909e-06, + "loss": 0.7096, + "step": 3624 + }, + { + "epoch": 0.57, + "learning_rate": 8.117932824022259e-06, + "loss": 0.7706, + "step": 3625 + }, + { + "epoch": 0.57, + "learning_rate": 8.112900530752886e-06, + "loss": 0.2769, + "step": 3626 + }, + { + "epoch": 0.57, + "learning_rate": 8.107868732970095e-06, + "loss": 0.731, + "step": 3627 + }, + { + "epoch": 0.57, + "learning_rate": 8.102837431995056e-06, + "loss": 0.7886, + "step": 3628 + }, + { + "epoch": 0.57, + "learning_rate": 8.097806629148816e-06, + "loss": 0.7427, + "step": 3629 + }, + { + "epoch": 0.57, + "learning_rate": 8.092776325752287e-06, + "loss": 0.7405, + "step": 3630 + }, + { + "epoch": 0.57, + "learning_rate": 8.087746523126254e-06, + "loss": 0.7214, + "step": 3631 + }, + { + "epoch": 0.57, + "learning_rate": 8.082717222591366e-06, + "loss": 0.7166, + "step": 3632 + }, + { + "epoch": 0.57, + "learning_rate": 8.077688425468144e-06, + "loss": 0.7412, + "step": 3633 + }, + { + "epoch": 0.57, + "learning_rate": 8.072660133076976e-06, + "loss": 0.7925, + "step": 3634 + }, + { + "epoch": 0.58, + "learning_rate": 8.067632346738109e-06, + "loss": 0.7207, + "step": 3635 + }, + { + "epoch": 0.58, + "learning_rate": 8.062605067771674e-06, + "loss": 0.7446, + "step": 3636 + }, + { + "epoch": 0.58, + "learning_rate": 8.057578297497655e-06, + "loss": 0.7949, + "step": 3637 + }, + { + "epoch": 0.58, + "learning_rate": 8.052552037235906e-06, + "loss": 0.7203, + "step": 3638 + }, + { + "epoch": 0.58, + "learning_rate": 8.04752628830615e-06, + "loss": 0.7847, + "step": 3639 + }, + { + "epoch": 0.58, + "learning_rate": 8.042501052027973e-06, + "loss": 0.6727, + "step": 3640 + }, + { + "epoch": 0.58, + "learning_rate": 8.037476329720822e-06, + "loss": 0.7817, + "step": 3641 + }, + { + "epoch": 0.58, + "learning_rate": 8.032452122704022e-06, + "loss": 0.7288, + "step": 3642 + }, + { + "epoch": 0.58, + "learning_rate": 8.027428432296751e-06, + "loss": 0.7207, + "step": 3643 + }, + { + "epoch": 0.58, + "learning_rate": 8.022405259818054e-06, + "loss": 0.7179, + "step": 3644 + }, + { + "epoch": 0.58, + "learning_rate": 8.01738260658684e-06, + "loss": 0.7751, + "step": 3645 + }, + { + "epoch": 0.58, + "learning_rate": 8.01236047392189e-06, + "loss": 0.6804, + "step": 3646 + }, + { + "epoch": 0.58, + "learning_rate": 8.007338863141834e-06, + "loss": 0.7534, + "step": 3647 + }, + { + "epoch": 0.58, + "learning_rate": 8.002317775565172e-06, + "loss": 0.7598, + "step": 3648 + }, + { + "epoch": 0.58, + "learning_rate": 7.99729721251027e-06, + "loss": 0.7858, + "step": 3649 + }, + { + "epoch": 0.58, + "learning_rate": 7.992277175295354e-06, + "loss": 0.7264, + "step": 3650 + }, + { + "epoch": 0.58, + "learning_rate": 7.98725766523851e-06, + "loss": 0.7327, + "step": 3651 + }, + { + "epoch": 0.58, + "learning_rate": 7.982238683657683e-06, + "loss": 0.7474, + "step": 3652 + }, + { + "epoch": 0.58, + "learning_rate": 7.977220231870685e-06, + "loss": 0.2692, + "step": 3653 + }, + { + "epoch": 0.58, + "learning_rate": 7.972202311195185e-06, + "loss": 0.7286, + "step": 3654 + }, + { + "epoch": 0.58, + "learning_rate": 7.967184922948717e-06, + "loss": 0.7781, + "step": 3655 + }, + { + "epoch": 0.58, + "learning_rate": 7.962168068448672e-06, + "loss": 0.7622, + "step": 3656 + }, + { + "epoch": 0.58, + "learning_rate": 7.957151749012299e-06, + "loss": 0.702, + "step": 3657 + }, + { + "epoch": 0.58, + "learning_rate": 7.952135965956709e-06, + "loss": 0.6796, + "step": 3658 + }, + { + "epoch": 0.58, + "learning_rate": 7.947120720598875e-06, + "loss": 0.7761, + "step": 3659 + }, + { + "epoch": 0.58, + "learning_rate": 7.942106014255623e-06, + "loss": 0.7395, + "step": 3660 + }, + { + "epoch": 0.58, + "learning_rate": 7.937091848243641e-06, + "loss": 0.7463, + "step": 3661 + }, + { + "epoch": 0.58, + "learning_rate": 7.932078223879473e-06, + "loss": 0.769, + "step": 3662 + }, + { + "epoch": 0.58, + "learning_rate": 7.927065142479529e-06, + "loss": 0.7157, + "step": 3663 + }, + { + "epoch": 0.58, + "learning_rate": 7.922052605360055e-06, + "loss": 0.7183, + "step": 3664 + }, + { + "epoch": 0.58, + "learning_rate": 7.917040613837182e-06, + "loss": 0.7007, + "step": 3665 + }, + { + "epoch": 0.58, + "learning_rate": 7.91202916922688e-06, + "loss": 0.7495, + "step": 3666 + }, + { + "epoch": 0.58, + "learning_rate": 7.907018272844979e-06, + "loss": 0.7693, + "step": 3667 + }, + { + "epoch": 0.58, + "learning_rate": 7.902007926007164e-06, + "loss": 0.7444, + "step": 3668 + }, + { + "epoch": 0.58, + "learning_rate": 7.896998130028982e-06, + "loss": 0.7917, + "step": 3669 + }, + { + "epoch": 0.58, + "learning_rate": 7.891988886225828e-06, + "loss": 0.701, + "step": 3670 + }, + { + "epoch": 0.58, + "learning_rate": 7.886980195912957e-06, + "loss": 0.7544, + "step": 3671 + }, + { + "epoch": 0.58, + "learning_rate": 7.881972060405472e-06, + "loss": 0.7327, + "step": 3672 + }, + { + "epoch": 0.58, + "learning_rate": 7.876964481018343e-06, + "loss": 0.7075, + "step": 3673 + }, + { + "epoch": 0.58, + "learning_rate": 7.871957459066378e-06, + "loss": 0.7346, + "step": 3674 + }, + { + "epoch": 0.58, + "learning_rate": 7.866950995864254e-06, + "loss": 0.8245, + "step": 3675 + }, + { + "epoch": 0.58, + "learning_rate": 7.861945092726485e-06, + "loss": 0.73, + "step": 3676 + }, + { + "epoch": 0.58, + "learning_rate": 7.856939750967454e-06, + "loss": 0.7649, + "step": 3677 + }, + { + "epoch": 0.58, + "learning_rate": 7.851934971901382e-06, + "loss": 0.7463, + "step": 3678 + }, + { + "epoch": 0.58, + "learning_rate": 7.846930756842358e-06, + "loss": 0.6406, + "step": 3679 + }, + { + "epoch": 0.58, + "learning_rate": 7.841927107104308e-06, + "loss": 0.7842, + "step": 3680 + }, + { + "epoch": 0.58, + "learning_rate": 7.836924024001023e-06, + "loss": 0.7822, + "step": 3681 + }, + { + "epoch": 0.58, + "learning_rate": 7.83192150884613e-06, + "loss": 0.7322, + "step": 3682 + }, + { + "epoch": 0.58, + "learning_rate": 7.826919562953121e-06, + "loss": 0.7112, + "step": 3683 + }, + { + "epoch": 0.58, + "learning_rate": 7.821918187635331e-06, + "loss": 0.7787, + "step": 3684 + }, + { + "epoch": 0.58, + "learning_rate": 7.816917384205948e-06, + "loss": 0.8103, + "step": 3685 + }, + { + "epoch": 0.58, + "learning_rate": 7.81191715397801e-06, + "loss": 0.8027, + "step": 3686 + }, + { + "epoch": 0.58, + "learning_rate": 7.8069174982644e-06, + "loss": 0.7379, + "step": 3687 + }, + { + "epoch": 0.58, + "learning_rate": 7.801918418377852e-06, + "loss": 0.688, + "step": 3688 + }, + { + "epoch": 0.58, + "learning_rate": 7.796919915630954e-06, + "loss": 0.7668, + "step": 3689 + }, + { + "epoch": 0.58, + "learning_rate": 7.791921991336138e-06, + "loss": 0.7058, + "step": 3690 + }, + { + "epoch": 0.58, + "learning_rate": 7.786924646805684e-06, + "loss": 0.7603, + "step": 3691 + }, + { + "epoch": 0.58, + "learning_rate": 7.781927883351717e-06, + "loss": 0.7632, + "step": 3692 + }, + { + "epoch": 0.58, + "learning_rate": 7.776931702286221e-06, + "loss": 0.7952, + "step": 3693 + }, + { + "epoch": 0.58, + "learning_rate": 7.771936104921015e-06, + "loss": 0.7019, + "step": 3694 + }, + { + "epoch": 0.58, + "learning_rate": 7.76694109256777e-06, + "loss": 0.7319, + "step": 3695 + }, + { + "epoch": 0.58, + "learning_rate": 7.761946666537995e-06, + "loss": 0.7168, + "step": 3696 + }, + { + "epoch": 0.58, + "learning_rate": 7.756952828143065e-06, + "loss": 0.736, + "step": 3697 + }, + { + "epoch": 0.59, + "learning_rate": 7.751959578694181e-06, + "loss": 0.8074, + "step": 3698 + }, + { + "epoch": 0.59, + "learning_rate": 7.746966919502395e-06, + "loss": 0.7654, + "step": 3699 + }, + { + "epoch": 0.59, + "learning_rate": 7.741974851878606e-06, + "loss": 0.7495, + "step": 3700 + }, + { + "epoch": 0.59, + "learning_rate": 7.736983377133558e-06, + "loss": 0.7947, + "step": 3701 + }, + { + "epoch": 0.59, + "learning_rate": 7.731992496577839e-06, + "loss": 0.7206, + "step": 3702 + }, + { + "epoch": 0.59, + "learning_rate": 7.727002211521879e-06, + "loss": 0.7356, + "step": 3703 + }, + { + "epoch": 0.59, + "learning_rate": 7.722012523275956e-06, + "loss": 0.783, + "step": 3704 + }, + { + "epoch": 0.59, + "learning_rate": 7.717023433150183e-06, + "loss": 0.7152, + "step": 3705 + }, + { + "epoch": 0.59, + "learning_rate": 7.712034942454525e-06, + "loss": 0.7198, + "step": 3706 + }, + { + "epoch": 0.59, + "learning_rate": 7.707047052498788e-06, + "loss": 0.3264, + "step": 3707 + }, + { + "epoch": 0.59, + "learning_rate": 7.702059764592614e-06, + "loss": 0.7513, + "step": 3708 + }, + { + "epoch": 0.59, + "learning_rate": 7.69707308004549e-06, + "loss": 0.7166, + "step": 3709 + }, + { + "epoch": 0.59, + "learning_rate": 7.692087000166755e-06, + "loss": 0.697, + "step": 3710 + }, + { + "epoch": 0.59, + "learning_rate": 7.687101526265567e-06, + "loss": 0.6964, + "step": 3711 + }, + { + "epoch": 0.59, + "learning_rate": 7.682116659650947e-06, + "loss": 0.6915, + "step": 3712 + }, + { + "epoch": 0.59, + "learning_rate": 7.677132401631742e-06, + "loss": 0.709, + "step": 3713 + }, + { + "epoch": 0.59, + "learning_rate": 7.672148753516648e-06, + "loss": 0.7476, + "step": 3714 + }, + { + "epoch": 0.59, + "learning_rate": 7.667165716614193e-06, + "loss": 0.6785, + "step": 3715 + }, + { + "epoch": 0.59, + "learning_rate": 7.662183292232755e-06, + "loss": 0.7528, + "step": 3716 + }, + { + "epoch": 0.59, + "learning_rate": 7.65720148168054e-06, + "loss": 0.7664, + "step": 3717 + }, + { + "epoch": 0.59, + "learning_rate": 7.652220286265602e-06, + "loss": 0.6561, + "step": 3718 + }, + { + "epoch": 0.59, + "learning_rate": 7.647239707295823e-06, + "loss": 0.6343, + "step": 3719 + }, + { + "epoch": 0.59, + "learning_rate": 7.642259746078937e-06, + "loss": 0.7522, + "step": 3720 + }, + { + "epoch": 0.59, + "learning_rate": 7.637280403922505e-06, + "loss": 0.7037, + "step": 3721 + }, + { + "epoch": 0.59, + "learning_rate": 7.632301682133931e-06, + "loss": 0.7859, + "step": 3722 + }, + { + "epoch": 0.59, + "learning_rate": 7.627323582020451e-06, + "loss": 0.774, + "step": 3723 + }, + { + "epoch": 0.59, + "learning_rate": 7.622346104889139e-06, + "loss": 0.6943, + "step": 3724 + }, + { + "epoch": 0.59, + "learning_rate": 7.617369252046909e-06, + "loss": 0.7805, + "step": 3725 + }, + { + "epoch": 0.59, + "learning_rate": 7.612393024800511e-06, + "loss": 0.7751, + "step": 3726 + }, + { + "epoch": 0.59, + "learning_rate": 7.6074174244565295e-06, + "loss": 0.7365, + "step": 3727 + }, + { + "epoch": 0.59, + "learning_rate": 7.602442452321379e-06, + "loss": 0.7922, + "step": 3728 + }, + { + "epoch": 0.59, + "learning_rate": 7.597468109701317e-06, + "loss": 0.7209, + "step": 3729 + }, + { + "epoch": 0.59, + "learning_rate": 7.592494397902434e-06, + "loss": 0.687, + "step": 3730 + }, + { + "epoch": 0.59, + "learning_rate": 7.587521318230651e-06, + "loss": 0.7341, + "step": 3731 + }, + { + "epoch": 0.59, + "learning_rate": 7.582548871991726e-06, + "loss": 0.3177, + "step": 3732 + }, + { + "epoch": 0.59, + "learning_rate": 7.57757706049125e-06, + "loss": 0.7279, + "step": 3733 + }, + { + "epoch": 0.59, + "learning_rate": 7.572605885034654e-06, + "loss": 0.699, + "step": 3734 + }, + { + "epoch": 0.59, + "learning_rate": 7.567635346927182e-06, + "loss": 0.2868, + "step": 3735 + }, + { + "epoch": 0.59, + "learning_rate": 7.5626654474739346e-06, + "loss": 0.733, + "step": 3736 + }, + { + "epoch": 0.59, + "learning_rate": 7.557696187979832e-06, + "loss": 0.7213, + "step": 3737 + }, + { + "epoch": 0.59, + "learning_rate": 7.552727569749626e-06, + "loss": 0.7308, + "step": 3738 + }, + { + "epoch": 0.59, + "learning_rate": 7.547759594087905e-06, + "loss": 0.7103, + "step": 3739 + }, + { + "epoch": 0.59, + "learning_rate": 7.542792262299086e-06, + "loss": 0.8035, + "step": 3740 + }, + { + "epoch": 0.59, + "learning_rate": 7.5378255756874166e-06, + "loss": 0.7437, + "step": 3741 + }, + { + "epoch": 0.59, + "learning_rate": 7.532859535556978e-06, + "loss": 0.7216, + "step": 3742 + }, + { + "epoch": 0.59, + "learning_rate": 7.527894143211674e-06, + "loss": 0.7532, + "step": 3743 + }, + { + "epoch": 0.59, + "learning_rate": 7.522929399955251e-06, + "loss": 0.7788, + "step": 3744 + }, + { + "epoch": 0.59, + "learning_rate": 7.517965307091275e-06, + "loss": 0.7054, + "step": 3745 + }, + { + "epoch": 0.59, + "learning_rate": 7.513001865923141e-06, + "loss": 0.737, + "step": 3746 + }, + { + "epoch": 0.59, + "learning_rate": 7.508039077754077e-06, + "loss": 0.7205, + "step": 3747 + }, + { + "epoch": 0.59, + "learning_rate": 7.503076943887138e-06, + "loss": 0.7391, + "step": 3748 + }, + { + "epoch": 0.59, + "learning_rate": 7.4981154656252085e-06, + "loss": 0.772, + "step": 3749 + }, + { + "epoch": 0.59, + "learning_rate": 7.4931546442710005e-06, + "loss": 0.7524, + "step": 3750 + }, + { + "epoch": 0.59, + "learning_rate": 7.488194481127051e-06, + "loss": 0.71, + "step": 3751 + }, + { + "epoch": 0.59, + "learning_rate": 7.483234977495726e-06, + "loss": 0.7557, + "step": 3752 + }, + { + "epoch": 0.59, + "learning_rate": 7.478276134679221e-06, + "loss": 0.6982, + "step": 3753 + }, + { + "epoch": 0.59, + "learning_rate": 7.473317953979553e-06, + "loss": 0.7546, + "step": 3754 + }, + { + "epoch": 0.59, + "learning_rate": 7.46836043669857e-06, + "loss": 0.7021, + "step": 3755 + }, + { + "epoch": 0.59, + "learning_rate": 7.463403584137938e-06, + "loss": 0.6882, + "step": 3756 + }, + { + "epoch": 0.59, + "learning_rate": 7.458447397599164e-06, + "loss": 0.7678, + "step": 3757 + }, + { + "epoch": 0.59, + "learning_rate": 7.4534918783835605e-06, + "loss": 0.715, + "step": 3758 + }, + { + "epoch": 0.59, + "learning_rate": 7.4485370277922745e-06, + "loss": 0.7748, + "step": 3759 + }, + { + "epoch": 0.59, + "learning_rate": 7.44358284712628e-06, + "loss": 0.7546, + "step": 3760 + }, + { + "epoch": 0.6, + "learning_rate": 7.438629337686374e-06, + "loss": 0.7246, + "step": 3761 + }, + { + "epoch": 0.6, + "learning_rate": 7.43367650077317e-06, + "loss": 0.3071, + "step": 3762 + }, + { + "epoch": 0.6, + "learning_rate": 7.428724337687117e-06, + "loss": 0.8018, + "step": 3763 + }, + { + "epoch": 0.6, + "learning_rate": 7.423772849728476e-06, + "loss": 0.7849, + "step": 3764 + }, + { + "epoch": 0.6, + "learning_rate": 7.418822038197339e-06, + "loss": 0.6974, + "step": 3765 + }, + { + "epoch": 0.6, + "learning_rate": 7.41387190439361e-06, + "loss": 0.7466, + "step": 3766 + }, + { + "epoch": 0.6, + "learning_rate": 7.408922449617029e-06, + "loss": 0.7123, + "step": 3767 + }, + { + "epoch": 0.6, + "learning_rate": 7.403973675167148e-06, + "loss": 0.6697, + "step": 3768 + }, + { + "epoch": 0.6, + "learning_rate": 7.399025582343344e-06, + "loss": 0.6943, + "step": 3769 + }, + { + "epoch": 0.6, + "learning_rate": 7.3940781724448084e-06, + "loss": 0.7883, + "step": 3770 + }, + { + "epoch": 0.6, + "learning_rate": 7.389131446770563e-06, + "loss": 0.7134, + "step": 3771 + }, + { + "epoch": 0.6, + "learning_rate": 7.384185406619443e-06, + "loss": 0.646, + "step": 3772 + }, + { + "epoch": 0.6, + "learning_rate": 7.3792400532901096e-06, + "loss": 0.7322, + "step": 3773 + }, + { + "epoch": 0.6, + "learning_rate": 7.3742953880810395e-06, + "loss": 0.3005, + "step": 3774 + }, + { + "epoch": 0.6, + "learning_rate": 7.3693514122905285e-06, + "loss": 0.7361, + "step": 3775 + }, + { + "epoch": 0.6, + "learning_rate": 7.364408127216691e-06, + "loss": 0.6897, + "step": 3776 + }, + { + "epoch": 0.6, + "learning_rate": 7.359465534157465e-06, + "loss": 0.7039, + "step": 3777 + }, + { + "epoch": 0.6, + "learning_rate": 7.354523634410602e-06, + "loss": 0.6896, + "step": 3778 + }, + { + "epoch": 0.6, + "learning_rate": 7.349582429273672e-06, + "loss": 0.7175, + "step": 3779 + }, + { + "epoch": 0.6, + "learning_rate": 7.34464192004406e-06, + "loss": 0.7131, + "step": 3780 + }, + { + "epoch": 0.6, + "learning_rate": 7.339702108018983e-06, + "loss": 0.7529, + "step": 3781 + }, + { + "epoch": 0.6, + "learning_rate": 7.334762994495448e-06, + "loss": 0.2865, + "step": 3782 + }, + { + "epoch": 0.6, + "learning_rate": 7.329824580770305e-06, + "loss": 0.2943, + "step": 3783 + }, + { + "epoch": 0.6, + "learning_rate": 7.324886868140206e-06, + "loss": 0.7886, + "step": 3784 + }, + { + "epoch": 0.6, + "learning_rate": 7.3199498579016224e-06, + "loss": 0.7546, + "step": 3785 + }, + { + "epoch": 0.6, + "learning_rate": 7.315013551350839e-06, + "loss": 0.6858, + "step": 3786 + }, + { + "epoch": 0.6, + "learning_rate": 7.310077949783962e-06, + "loss": 0.7539, + "step": 3787 + }, + { + "epoch": 0.6, + "learning_rate": 7.305143054496907e-06, + "loss": 0.7481, + "step": 3788 + }, + { + "epoch": 0.6, + "learning_rate": 7.300208866785405e-06, + "loss": 0.6597, + "step": 3789 + }, + { + "epoch": 0.6, + "learning_rate": 7.295275387945e-06, + "loss": 0.7802, + "step": 3790 + }, + { + "epoch": 0.6, + "learning_rate": 7.290342619271056e-06, + "loss": 0.7249, + "step": 3791 + }, + { + "epoch": 0.6, + "learning_rate": 7.285410562058746e-06, + "loss": 0.7539, + "step": 3792 + }, + { + "epoch": 0.6, + "learning_rate": 7.280479217603051e-06, + "loss": 0.7168, + "step": 3793 + }, + { + "epoch": 0.6, + "learning_rate": 7.275548587198775e-06, + "loss": 0.7872, + "step": 3794 + }, + { + "epoch": 0.6, + "learning_rate": 7.270618672140528e-06, + "loss": 0.6426, + "step": 3795 + }, + { + "epoch": 0.6, + "learning_rate": 7.265689473722731e-06, + "loss": 0.2967, + "step": 3796 + }, + { + "epoch": 0.6, + "learning_rate": 7.260760993239626e-06, + "loss": 0.7603, + "step": 3797 + }, + { + "epoch": 0.6, + "learning_rate": 7.255833231985258e-06, + "loss": 0.7319, + "step": 3798 + }, + { + "epoch": 0.6, + "learning_rate": 7.2509061912534835e-06, + "loss": 0.7151, + "step": 3799 + }, + { + "epoch": 0.6, + "learning_rate": 7.245979872337972e-06, + "loss": 0.7446, + "step": 3800 + }, + { + "epoch": 0.6, + "learning_rate": 7.241054276532204e-06, + "loss": 0.7583, + "step": 3801 + }, + { + "epoch": 0.6, + "learning_rate": 7.236129405129473e-06, + "loss": 0.7467, + "step": 3802 + }, + { + "epoch": 0.6, + "learning_rate": 7.231205259422871e-06, + "loss": 0.7097, + "step": 3803 + }, + { + "epoch": 0.6, + "learning_rate": 7.226281840705318e-06, + "loss": 0.7522, + "step": 3804 + }, + { + "epoch": 0.6, + "learning_rate": 7.221359150269523e-06, + "loss": 0.7651, + "step": 3805 + }, + { + "epoch": 0.6, + "learning_rate": 7.216437189408011e-06, + "loss": 0.7783, + "step": 3806 + }, + { + "epoch": 0.6, + "learning_rate": 7.211515959413125e-06, + "loss": 0.7668, + "step": 3807 + }, + { + "epoch": 0.6, + "learning_rate": 7.206595461577007e-06, + "loss": 0.7783, + "step": 3808 + }, + { + "epoch": 0.6, + "learning_rate": 7.201675697191603e-06, + "loss": 0.7402, + "step": 3809 + }, + { + "epoch": 0.6, + "learning_rate": 7.196756667548679e-06, + "loss": 0.7754, + "step": 3810 + }, + { + "epoch": 0.6, + "learning_rate": 7.191838373939797e-06, + "loss": 0.7344, + "step": 3811 + }, + { + "epoch": 0.6, + "learning_rate": 7.186920817656331e-06, + "loss": 0.7507, + "step": 3812 + }, + { + "epoch": 0.6, + "learning_rate": 7.182003999989455e-06, + "loss": 0.702, + "step": 3813 + }, + { + "epoch": 0.6, + "learning_rate": 7.177087922230161e-06, + "loss": 0.6774, + "step": 3814 + }, + { + "epoch": 0.6, + "learning_rate": 7.172172585669238e-06, + "loss": 0.7722, + "step": 3815 + }, + { + "epoch": 0.6, + "learning_rate": 7.1672579915972825e-06, + "loss": 0.7622, + "step": 3816 + }, + { + "epoch": 0.6, + "learning_rate": 7.162344141304692e-06, + "loss": 0.7426, + "step": 3817 + }, + { + "epoch": 0.6, + "learning_rate": 7.157431036081675e-06, + "loss": 0.6771, + "step": 3818 + }, + { + "epoch": 0.6, + "learning_rate": 7.1525186772182385e-06, + "loss": 0.7744, + "step": 3819 + }, + { + "epoch": 0.6, + "learning_rate": 7.147607066004202e-06, + "loss": 0.7842, + "step": 3820 + }, + { + "epoch": 0.6, + "learning_rate": 7.142696203729181e-06, + "loss": 0.7186, + "step": 3821 + }, + { + "epoch": 0.6, + "learning_rate": 7.137786091682597e-06, + "loss": 0.798, + "step": 3822 + }, + { + "epoch": 0.6, + "learning_rate": 7.1328767311536724e-06, + "loss": 0.6835, + "step": 3823 + }, + { + "epoch": 0.6, + "learning_rate": 7.1279681234314395e-06, + "loss": 0.7256, + "step": 3824 + }, + { + "epoch": 0.61, + "learning_rate": 7.123060269804722e-06, + "loss": 0.7329, + "step": 3825 + }, + { + "epoch": 0.61, + "learning_rate": 7.118153171562157e-06, + "loss": 0.7561, + "step": 3826 + }, + { + "epoch": 0.61, + "learning_rate": 7.113246829992169e-06, + "loss": 0.708, + "step": 3827 + }, + { + "epoch": 0.61, + "learning_rate": 7.1083412463830055e-06, + "loss": 0.7273, + "step": 3828 + }, + { + "epoch": 0.61, + "learning_rate": 7.103436422022687e-06, + "loss": 0.765, + "step": 3829 + }, + { + "epoch": 0.61, + "learning_rate": 7.098532358199059e-06, + "loss": 0.3041, + "step": 3830 + }, + { + "epoch": 0.61, + "learning_rate": 7.0936290561997555e-06, + "loss": 0.6841, + "step": 3831 + }, + { + "epoch": 0.61, + "learning_rate": 7.088726517312212e-06, + "loss": 0.7784, + "step": 3832 + }, + { + "epoch": 0.61, + "learning_rate": 7.083824742823664e-06, + "loss": 0.7188, + "step": 3833 + }, + { + "epoch": 0.61, + "learning_rate": 7.07892373402115e-06, + "loss": 0.7377, + "step": 3834 + }, + { + "epoch": 0.61, + "learning_rate": 7.074023492191499e-06, + "loss": 0.7454, + "step": 3835 + }, + { + "epoch": 0.61, + "learning_rate": 7.06912401862135e-06, + "loss": 0.7531, + "step": 3836 + }, + { + "epoch": 0.61, + "learning_rate": 7.064225314597129e-06, + "loss": 0.7371, + "step": 3837 + }, + { + "epoch": 0.61, + "learning_rate": 7.059327381405065e-06, + "loss": 0.6816, + "step": 3838 + }, + { + "epoch": 0.61, + "learning_rate": 7.0544302203311896e-06, + "loss": 0.7319, + "step": 3839 + }, + { + "epoch": 0.61, + "learning_rate": 7.049533832661326e-06, + "loss": 0.7292, + "step": 3840 + }, + { + "epoch": 0.61, + "learning_rate": 7.044638219681088e-06, + "loss": 0.7411, + "step": 3841 + }, + { + "epoch": 0.61, + "learning_rate": 7.0397433826759e-06, + "loss": 0.7843, + "step": 3842 + }, + { + "epoch": 0.61, + "learning_rate": 7.03484932293097e-06, + "loss": 0.2507, + "step": 3843 + }, + { + "epoch": 0.61, + "learning_rate": 7.029956041731313e-06, + "loss": 0.6815, + "step": 3844 + }, + { + "epoch": 0.61, + "learning_rate": 7.0250635403617315e-06, + "loss": 0.7078, + "step": 3845 + }, + { + "epoch": 0.61, + "learning_rate": 7.020171820106827e-06, + "loss": 0.7533, + "step": 3846 + }, + { + "epoch": 0.61, + "learning_rate": 7.015280882250992e-06, + "loss": 0.7529, + "step": 3847 + }, + { + "epoch": 0.61, + "learning_rate": 7.010390728078423e-06, + "loss": 0.76, + "step": 3848 + }, + { + "epoch": 0.61, + "learning_rate": 7.005501358873097e-06, + "loss": 0.7732, + "step": 3849 + }, + { + "epoch": 0.61, + "learning_rate": 7.000612775918796e-06, + "loss": 0.7549, + "step": 3850 + }, + { + "epoch": 0.61, + "learning_rate": 6.995724980499092e-06, + "loss": 0.7795, + "step": 3851 + }, + { + "epoch": 0.61, + "learning_rate": 6.990837973897346e-06, + "loss": 0.6522, + "step": 3852 + }, + { + "epoch": 0.61, + "learning_rate": 6.985951757396716e-06, + "loss": 0.6882, + "step": 3853 + }, + { + "epoch": 0.61, + "learning_rate": 6.9810663322801555e-06, + "loss": 0.7046, + "step": 3854 + }, + { + "epoch": 0.61, + "learning_rate": 6.9761816998304065e-06, + "loss": 0.7563, + "step": 3855 + }, + { + "epoch": 0.61, + "learning_rate": 6.971297861330002e-06, + "loss": 0.7407, + "step": 3856 + }, + { + "epoch": 0.61, + "learning_rate": 6.966414818061267e-06, + "loss": 0.8093, + "step": 3857 + }, + { + "epoch": 0.61, + "learning_rate": 6.961532571306321e-06, + "loss": 0.2752, + "step": 3858 + }, + { + "epoch": 0.61, + "learning_rate": 6.956651122347071e-06, + "loss": 0.2761, + "step": 3859 + }, + { + "epoch": 0.61, + "learning_rate": 6.951770472465214e-06, + "loss": 0.7466, + "step": 3860 + }, + { + "epoch": 0.61, + "learning_rate": 6.94689062294224e-06, + "loss": 0.7888, + "step": 3861 + }, + { + "epoch": 0.61, + "learning_rate": 6.942011575059429e-06, + "loss": 0.7288, + "step": 3862 + }, + { + "epoch": 0.61, + "learning_rate": 6.937133330097847e-06, + "loss": 0.7332, + "step": 3863 + }, + { + "epoch": 0.61, + "learning_rate": 6.932255889338351e-06, + "loss": 0.759, + "step": 3864 + }, + { + "epoch": 0.61, + "learning_rate": 6.927379254061588e-06, + "loss": 0.6635, + "step": 3865 + }, + { + "epoch": 0.61, + "learning_rate": 6.922503425547988e-06, + "loss": 0.7751, + "step": 3866 + }, + { + "epoch": 0.61, + "learning_rate": 6.9176284050777806e-06, + "loss": 0.7228, + "step": 3867 + }, + { + "epoch": 0.61, + "learning_rate": 6.912754193930975e-06, + "loss": 0.3268, + "step": 3868 + }, + { + "epoch": 0.61, + "learning_rate": 6.907880793387366e-06, + "loss": 0.7305, + "step": 3869 + }, + { + "epoch": 0.61, + "learning_rate": 6.903008204726539e-06, + "loss": 0.7167, + "step": 3870 + }, + { + "epoch": 0.61, + "learning_rate": 6.89813642922787e-06, + "loss": 0.7183, + "step": 3871 + }, + { + "epoch": 0.61, + "learning_rate": 6.893265468170514e-06, + "loss": 0.7115, + "step": 3872 + }, + { + "epoch": 0.61, + "learning_rate": 6.8883953228334175e-06, + "loss": 0.7344, + "step": 3873 + }, + { + "epoch": 0.61, + "learning_rate": 6.883525994495308e-06, + "loss": 0.7556, + "step": 3874 + }, + { + "epoch": 0.61, + "learning_rate": 6.878657484434709e-06, + "loss": 0.7395, + "step": 3875 + }, + { + "epoch": 0.61, + "learning_rate": 6.8737897939299124e-06, + "loss": 0.7449, + "step": 3876 + }, + { + "epoch": 0.61, + "learning_rate": 6.868922924259009e-06, + "loss": 0.7251, + "step": 3877 + }, + { + "epoch": 0.61, + "learning_rate": 6.864056876699869e-06, + "loss": 0.7269, + "step": 3878 + }, + { + "epoch": 0.61, + "learning_rate": 6.859191652530146e-06, + "loss": 0.7246, + "step": 3879 + }, + { + "epoch": 0.61, + "learning_rate": 6.8543272530272756e-06, + "loss": 0.7227, + "step": 3880 + }, + { + "epoch": 0.61, + "learning_rate": 6.849463679468487e-06, + "loss": 0.6744, + "step": 3881 + }, + { + "epoch": 0.61, + "learning_rate": 6.844600933130778e-06, + "loss": 0.7085, + "step": 3882 + }, + { + "epoch": 0.61, + "learning_rate": 6.839739015290942e-06, + "loss": 0.7545, + "step": 3883 + }, + { + "epoch": 0.61, + "learning_rate": 6.8348779272255425e-06, + "loss": 0.7404, + "step": 3884 + }, + { + "epoch": 0.61, + "learning_rate": 6.83001767021094e-06, + "loss": 0.7053, + "step": 3885 + }, + { + "epoch": 0.61, + "learning_rate": 6.825158245523263e-06, + "loss": 0.7415, + "step": 3886 + }, + { + "epoch": 0.61, + "learning_rate": 6.820299654438431e-06, + "loss": 0.2744, + "step": 3887 + }, + { + "epoch": 0.62, + "learning_rate": 6.815441898232138e-06, + "loss": 0.7274, + "step": 3888 + }, + { + "epoch": 0.62, + "learning_rate": 6.810584978179861e-06, + "loss": 0.7339, + "step": 3889 + }, + { + "epoch": 0.62, + "learning_rate": 6.805728895556856e-06, + "loss": 0.7224, + "step": 3890 + }, + { + "epoch": 0.62, + "learning_rate": 6.800873651638167e-06, + "loss": 0.7378, + "step": 3891 + }, + { + "epoch": 0.62, + "learning_rate": 6.796019247698611e-06, + "loss": 0.7432, + "step": 3892 + }, + { + "epoch": 0.62, + "learning_rate": 6.791165685012782e-06, + "loss": 0.7375, + "step": 3893 + }, + { + "epoch": 0.62, + "learning_rate": 6.786312964855055e-06, + "loss": 0.7478, + "step": 3894 + }, + { + "epoch": 0.62, + "learning_rate": 6.78146108849959e-06, + "loss": 0.7427, + "step": 3895 + }, + { + "epoch": 0.62, + "learning_rate": 6.776610057220321e-06, + "loss": 0.8, + "step": 3896 + }, + { + "epoch": 0.62, + "learning_rate": 6.771759872290957e-06, + "loss": 0.717, + "step": 3897 + }, + { + "epoch": 0.62, + "learning_rate": 6.7669105349849865e-06, + "loss": 0.6713, + "step": 3898 + }, + { + "epoch": 0.62, + "learning_rate": 6.762062046575684e-06, + "loss": 0.6855, + "step": 3899 + }, + { + "epoch": 0.62, + "learning_rate": 6.7572144083360815e-06, + "loss": 0.7236, + "step": 3900 + }, + { + "epoch": 0.62, + "learning_rate": 6.752367621539009e-06, + "loss": 0.767, + "step": 3901 + }, + { + "epoch": 0.62, + "learning_rate": 6.747521687457061e-06, + "loss": 0.7212, + "step": 3902 + }, + { + "epoch": 0.62, + "learning_rate": 6.7426766073626125e-06, + "loss": 0.7301, + "step": 3903 + }, + { + "epoch": 0.62, + "learning_rate": 6.737832382527809e-06, + "loss": 0.7207, + "step": 3904 + }, + { + "epoch": 0.62, + "learning_rate": 6.732989014224579e-06, + "loss": 0.7671, + "step": 3905 + }, + { + "epoch": 0.62, + "learning_rate": 6.728146503724622e-06, + "loss": 0.7317, + "step": 3906 + }, + { + "epoch": 0.62, + "learning_rate": 6.723304852299408e-06, + "loss": 0.741, + "step": 3907 + }, + { + "epoch": 0.62, + "learning_rate": 6.718464061220193e-06, + "loss": 0.6932, + "step": 3908 + }, + { + "epoch": 0.62, + "learning_rate": 6.713624131757996e-06, + "loss": 0.7495, + "step": 3909 + }, + { + "epoch": 0.62, + "learning_rate": 6.708785065183616e-06, + "loss": 0.6538, + "step": 3910 + }, + { + "epoch": 0.62, + "learning_rate": 6.703946862767622e-06, + "loss": 0.7566, + "step": 3911 + }, + { + "epoch": 0.62, + "learning_rate": 6.699109525780356e-06, + "loss": 0.7111, + "step": 3912 + }, + { + "epoch": 0.62, + "learning_rate": 6.694273055491935e-06, + "loss": 0.7534, + "step": 3913 + }, + { + "epoch": 0.62, + "learning_rate": 6.689437453172246e-06, + "loss": 0.2639, + "step": 3914 + }, + { + "epoch": 0.62, + "learning_rate": 6.684602720090954e-06, + "loss": 0.709, + "step": 3915 + }, + { + "epoch": 0.62, + "learning_rate": 6.6797688575174905e-06, + "loss": 0.6785, + "step": 3916 + }, + { + "epoch": 0.62, + "learning_rate": 6.674935866721054e-06, + "loss": 0.7594, + "step": 3917 + }, + { + "epoch": 0.62, + "learning_rate": 6.670103748970626e-06, + "loss": 0.7427, + "step": 3918 + }, + { + "epoch": 0.62, + "learning_rate": 6.665272505534951e-06, + "loss": 0.7822, + "step": 3919 + }, + { + "epoch": 0.62, + "learning_rate": 6.660442137682543e-06, + "loss": 0.7695, + "step": 3920 + }, + { + "epoch": 0.62, + "learning_rate": 6.6556126466816885e-06, + "loss": 0.7764, + "step": 3921 + }, + { + "epoch": 0.62, + "learning_rate": 6.65078403380045e-06, + "loss": 0.7302, + "step": 3922 + }, + { + "epoch": 0.62, + "learning_rate": 6.645956300306642e-06, + "loss": 0.7522, + "step": 3923 + }, + { + "epoch": 0.62, + "learning_rate": 6.641129447467867e-06, + "loss": 0.7263, + "step": 3924 + }, + { + "epoch": 0.62, + "learning_rate": 6.636303476551485e-06, + "loss": 0.8127, + "step": 3925 + }, + { + "epoch": 0.62, + "learning_rate": 6.6314783888246305e-06, + "loss": 0.7722, + "step": 3926 + }, + { + "epoch": 0.62, + "learning_rate": 6.626654185554199e-06, + "loss": 0.8096, + "step": 3927 + }, + { + "epoch": 0.62, + "learning_rate": 6.621830868006863e-06, + "loss": 0.7095, + "step": 3928 + }, + { + "epoch": 0.62, + "learning_rate": 6.6170084374490566e-06, + "loss": 0.6808, + "step": 3929 + }, + { + "epoch": 0.62, + "learning_rate": 6.61218689514698e-06, + "loss": 0.6677, + "step": 3930 + }, + { + "epoch": 0.62, + "learning_rate": 6.6073662423666016e-06, + "loss": 0.7773, + "step": 3931 + }, + { + "epoch": 0.62, + "learning_rate": 6.602546480373662e-06, + "loss": 0.813, + "step": 3932 + }, + { + "epoch": 0.62, + "learning_rate": 6.597727610433659e-06, + "loss": 0.3029, + "step": 3933 + }, + { + "epoch": 0.62, + "learning_rate": 6.592909633811862e-06, + "loss": 0.7034, + "step": 3934 + }, + { + "epoch": 0.62, + "learning_rate": 6.5880925517733015e-06, + "loss": 0.7303, + "step": 3935 + }, + { + "epoch": 0.62, + "learning_rate": 6.5832763655827755e-06, + "loss": 0.7205, + "step": 3936 + }, + { + "epoch": 0.62, + "learning_rate": 6.578461076504845e-06, + "loss": 0.7487, + "step": 3937 + }, + { + "epoch": 0.62, + "learning_rate": 6.573646685803843e-06, + "loss": 0.8064, + "step": 3938 + }, + { + "epoch": 0.62, + "learning_rate": 6.568833194743858e-06, + "loss": 0.7512, + "step": 3939 + }, + { + "epoch": 0.62, + "learning_rate": 6.564020604588742e-06, + "loss": 0.7042, + "step": 3940 + }, + { + "epoch": 0.62, + "learning_rate": 6.5592089166021155e-06, + "loss": 0.7062, + "step": 3941 + }, + { + "epoch": 0.62, + "learning_rate": 6.5543981320473626e-06, + "loss": 0.6772, + "step": 3942 + }, + { + "epoch": 0.62, + "learning_rate": 6.549588252187626e-06, + "loss": 0.2611, + "step": 3943 + }, + { + "epoch": 0.62, + "learning_rate": 6.544779278285811e-06, + "loss": 0.7502, + "step": 3944 + }, + { + "epoch": 0.62, + "learning_rate": 6.5399712116045875e-06, + "loss": 0.6898, + "step": 3945 + }, + { + "epoch": 0.62, + "learning_rate": 6.535164053406393e-06, + "loss": 0.7245, + "step": 3946 + }, + { + "epoch": 0.62, + "learning_rate": 6.530357804953407e-06, + "loss": 0.7451, + "step": 3947 + }, + { + "epoch": 0.62, + "learning_rate": 6.525552467507592e-06, + "loss": 0.6798, + "step": 3948 + }, + { + "epoch": 0.62, + "learning_rate": 6.520748042330659e-06, + "loss": 0.7817, + "step": 3949 + }, + { + "epoch": 0.62, + "learning_rate": 6.515944530684084e-06, + "loss": 0.7266, + "step": 3950 + }, + { + "epoch": 0.63, + "learning_rate": 6.5111419338290985e-06, + "loss": 0.6853, + "step": 3951 + }, + { + "epoch": 0.63, + "learning_rate": 6.506340253026702e-06, + "loss": 0.7524, + "step": 3952 + }, + { + "epoch": 0.63, + "learning_rate": 6.501539489537647e-06, + "loss": 0.7668, + "step": 3953 + }, + { + "epoch": 0.63, + "learning_rate": 6.496739644622445e-06, + "loss": 0.6897, + "step": 3954 + }, + { + "epoch": 0.63, + "learning_rate": 6.491940719541369e-06, + "loss": 0.7, + "step": 3955 + }, + { + "epoch": 0.63, + "learning_rate": 6.487142715554451e-06, + "loss": 0.7651, + "step": 3956 + }, + { + "epoch": 0.63, + "learning_rate": 6.482345633921478e-06, + "loss": 0.7174, + "step": 3957 + }, + { + "epoch": 0.63, + "learning_rate": 6.477549475902e-06, + "loss": 0.7374, + "step": 3958 + }, + { + "epoch": 0.63, + "learning_rate": 6.4727542427553144e-06, + "loss": 0.7511, + "step": 3959 + }, + { + "epoch": 0.63, + "learning_rate": 6.467959935740488e-06, + "loss": 0.7529, + "step": 3960 + }, + { + "epoch": 0.63, + "learning_rate": 6.463166556116334e-06, + "loss": 0.7238, + "step": 3961 + }, + { + "epoch": 0.63, + "learning_rate": 6.458374105141432e-06, + "loss": 0.733, + "step": 3962 + }, + { + "epoch": 0.63, + "learning_rate": 6.453582584074109e-06, + "loss": 0.7391, + "step": 3963 + }, + { + "epoch": 0.63, + "learning_rate": 6.448791994172452e-06, + "loss": 0.7485, + "step": 3964 + }, + { + "epoch": 0.63, + "learning_rate": 6.444002336694306e-06, + "loss": 0.7067, + "step": 3965 + }, + { + "epoch": 0.63, + "learning_rate": 6.439213612897266e-06, + "loss": 0.7098, + "step": 3966 + }, + { + "epoch": 0.63, + "learning_rate": 6.434425824038683e-06, + "loss": 0.741, + "step": 3967 + }, + { + "epoch": 0.63, + "learning_rate": 6.4296389713756645e-06, + "loss": 0.7495, + "step": 3968 + }, + { + "epoch": 0.63, + "learning_rate": 6.424853056165077e-06, + "loss": 0.749, + "step": 3969 + }, + { + "epoch": 0.63, + "learning_rate": 6.420068079663523e-06, + "loss": 0.7554, + "step": 3970 + }, + { + "epoch": 0.63, + "learning_rate": 6.4152840431273786e-06, + "loss": 0.7162, + "step": 3971 + }, + { + "epoch": 0.63, + "learning_rate": 6.410500947812765e-06, + "loss": 0.7332, + "step": 3972 + }, + { + "epoch": 0.63, + "learning_rate": 6.405718794975555e-06, + "loss": 0.7336, + "step": 3973 + }, + { + "epoch": 0.63, + "learning_rate": 6.400937585871374e-06, + "loss": 0.679, + "step": 3974 + }, + { + "epoch": 0.63, + "learning_rate": 6.396157321755603e-06, + "loss": 0.7114, + "step": 3975 + }, + { + "epoch": 0.63, + "learning_rate": 6.391378003883373e-06, + "loss": 0.7241, + "step": 3976 + }, + { + "epoch": 0.63, + "learning_rate": 6.386599633509565e-06, + "loss": 0.7869, + "step": 3977 + }, + { + "epoch": 0.63, + "learning_rate": 6.381822211888813e-06, + "loss": 0.7665, + "step": 3978 + }, + { + "epoch": 0.63, + "learning_rate": 6.377045740275501e-06, + "loss": 0.7198, + "step": 3979 + }, + { + "epoch": 0.63, + "learning_rate": 6.372270219923766e-06, + "loss": 0.7327, + "step": 3980 + }, + { + "epoch": 0.63, + "learning_rate": 6.3674956520874955e-06, + "loss": 0.7448, + "step": 3981 + }, + { + "epoch": 0.63, + "learning_rate": 6.362722038020317e-06, + "loss": 0.7111, + "step": 3982 + }, + { + "epoch": 0.63, + "learning_rate": 6.357949378975621e-06, + "loss": 0.8069, + "step": 3983 + }, + { + "epoch": 0.63, + "learning_rate": 6.3531776762065375e-06, + "loss": 0.6901, + "step": 3984 + }, + { + "epoch": 0.63, + "learning_rate": 6.348406930965953e-06, + "loss": 0.6907, + "step": 3985 + }, + { + "epoch": 0.63, + "learning_rate": 6.3436371445065e-06, + "loss": 0.6649, + "step": 3986 + }, + { + "epoch": 0.63, + "learning_rate": 6.3388683180805546e-06, + "loss": 0.7478, + "step": 3987 + }, + { + "epoch": 0.63, + "learning_rate": 6.334100452940244e-06, + "loss": 0.2605, + "step": 3988 + }, + { + "epoch": 0.63, + "learning_rate": 6.329333550337449e-06, + "loss": 0.7632, + "step": 3989 + }, + { + "epoch": 0.63, + "learning_rate": 6.3245676115237864e-06, + "loss": 0.7629, + "step": 3990 + }, + { + "epoch": 0.63, + "learning_rate": 6.31980263775063e-06, + "loss": 0.7391, + "step": 3991 + }, + { + "epoch": 0.63, + "learning_rate": 6.31503863026909e-06, + "loss": 0.6847, + "step": 3992 + }, + { + "epoch": 0.63, + "learning_rate": 6.310275590330041e-06, + "loss": 0.6882, + "step": 3993 + }, + { + "epoch": 0.63, + "learning_rate": 6.305513519184074e-06, + "loss": 0.7262, + "step": 3994 + }, + { + "epoch": 0.63, + "learning_rate": 6.300752418081557e-06, + "loss": 0.6981, + "step": 3995 + }, + { + "epoch": 0.63, + "learning_rate": 6.295992288272583e-06, + "loss": 0.7736, + "step": 3996 + }, + { + "epoch": 0.63, + "learning_rate": 6.291233131006997e-06, + "loss": 0.6339, + "step": 3997 + }, + { + "epoch": 0.63, + "learning_rate": 6.2864749475343886e-06, + "loss": 0.708, + "step": 3998 + }, + { + "epoch": 0.63, + "learning_rate": 6.2817177391040915e-06, + "loss": 0.6512, + "step": 3999 + }, + { + "epoch": 0.63, + "learning_rate": 6.276961506965182e-06, + "loss": 0.7979, + "step": 4000 + }, + { + "epoch": 0.63, + "learning_rate": 6.272206252366482e-06, + "loss": 0.7404, + "step": 4001 + }, + { + "epoch": 0.63, + "learning_rate": 6.267451976556553e-06, + "loss": 0.7422, + "step": 4002 + }, + { + "epoch": 0.63, + "learning_rate": 6.262698680783705e-06, + "loss": 0.7267, + "step": 4003 + }, + { + "epoch": 0.63, + "learning_rate": 6.2579463662959886e-06, + "loss": 0.7218, + "step": 4004 + }, + { + "epoch": 0.63, + "learning_rate": 6.253195034341196e-06, + "loss": 0.7246, + "step": 4005 + }, + { + "epoch": 0.63, + "learning_rate": 6.248444686166858e-06, + "loss": 0.7554, + "step": 4006 + }, + { + "epoch": 0.63, + "learning_rate": 6.243695323020253e-06, + "loss": 0.7146, + "step": 4007 + }, + { + "epoch": 0.63, + "learning_rate": 6.238946946148395e-06, + "loss": 0.7205, + "step": 4008 + }, + { + "epoch": 0.63, + "learning_rate": 6.2341995567980465e-06, + "loss": 0.736, + "step": 4009 + }, + { + "epoch": 0.63, + "learning_rate": 6.2294531562157056e-06, + "loss": 0.78, + "step": 4010 + }, + { + "epoch": 0.63, + "learning_rate": 6.224707745647612e-06, + "loss": 0.7466, + "step": 4011 + }, + { + "epoch": 0.63, + "learning_rate": 6.219963326339742e-06, + "loss": 0.7866, + "step": 4012 + }, + { + "epoch": 0.63, + "learning_rate": 6.215219899537821e-06, + "loss": 0.6884, + "step": 4013 + }, + { + "epoch": 0.64, + "learning_rate": 6.210477466487302e-06, + "loss": 0.7654, + "step": 4014 + }, + { + "epoch": 0.64, + "learning_rate": 6.205736028433383e-06, + "loss": 0.72, + "step": 4015 + }, + { + "epoch": 0.64, + "learning_rate": 6.200995586621009e-06, + "loss": 0.6648, + "step": 4016 + }, + { + "epoch": 0.64, + "learning_rate": 6.196256142294843e-06, + "loss": 0.7137, + "step": 4017 + }, + { + "epoch": 0.64, + "learning_rate": 6.1915176966993025e-06, + "loss": 0.2668, + "step": 4018 + }, + { + "epoch": 0.64, + "learning_rate": 6.186780251078539e-06, + "loss": 0.7108, + "step": 4019 + }, + { + "epoch": 0.64, + "learning_rate": 6.182043806676442e-06, + "loss": 0.7351, + "step": 4020 + }, + { + "epoch": 0.64, + "learning_rate": 6.177308364736633e-06, + "loss": 0.7529, + "step": 4021 + }, + { + "epoch": 0.64, + "learning_rate": 6.172573926502477e-06, + "loss": 0.7207, + "step": 4022 + }, + { + "epoch": 0.64, + "learning_rate": 6.167840493217074e-06, + "loss": 0.7505, + "step": 4023 + }, + { + "epoch": 0.64, + "learning_rate": 6.163108066123256e-06, + "loss": 0.6742, + "step": 4024 + }, + { + "epoch": 0.64, + "learning_rate": 6.158376646463591e-06, + "loss": 0.7617, + "step": 4025 + }, + { + "epoch": 0.64, + "learning_rate": 6.1536462354803904e-06, + "loss": 0.7211, + "step": 4026 + }, + { + "epoch": 0.64, + "learning_rate": 6.148916834415693e-06, + "loss": 0.7114, + "step": 4027 + }, + { + "epoch": 0.64, + "learning_rate": 6.144188444511276e-06, + "loss": 0.7332, + "step": 4028 + }, + { + "epoch": 0.64, + "learning_rate": 6.139461067008647e-06, + "loss": 0.7101, + "step": 4029 + }, + { + "epoch": 0.64, + "learning_rate": 6.1347347031490525e-06, + "loss": 0.7418, + "step": 4030 + }, + { + "epoch": 0.64, + "learning_rate": 6.130009354173469e-06, + "loss": 0.7576, + "step": 4031 + }, + { + "epoch": 0.64, + "learning_rate": 6.125285021322612e-06, + "loss": 0.7896, + "step": 4032 + }, + { + "epoch": 0.64, + "learning_rate": 6.120561705836925e-06, + "loss": 0.761, + "step": 4033 + }, + { + "epoch": 0.64, + "learning_rate": 6.115839408956585e-06, + "loss": 0.7338, + "step": 4034 + }, + { + "epoch": 0.64, + "learning_rate": 6.111118131921503e-06, + "loss": 0.6663, + "step": 4035 + }, + { + "epoch": 0.64, + "learning_rate": 6.1063978759713246e-06, + "loss": 0.7224, + "step": 4036 + }, + { + "epoch": 0.64, + "learning_rate": 6.101678642345423e-06, + "loss": 0.7001, + "step": 4037 + }, + { + "epoch": 0.64, + "learning_rate": 6.096960432282904e-06, + "loss": 0.7209, + "step": 4038 + }, + { + "epoch": 0.64, + "learning_rate": 6.092243247022602e-06, + "loss": 0.7708, + "step": 4039 + }, + { + "epoch": 0.64, + "learning_rate": 6.087527087803096e-06, + "loss": 0.6956, + "step": 4040 + }, + { + "epoch": 0.64, + "learning_rate": 6.082811955862671e-06, + "loss": 0.6914, + "step": 4041 + }, + { + "epoch": 0.64, + "learning_rate": 6.078097852439367e-06, + "loss": 0.3215, + "step": 4042 + }, + { + "epoch": 0.64, + "learning_rate": 6.073384778770937e-06, + "loss": 0.739, + "step": 4043 + }, + { + "epoch": 0.64, + "learning_rate": 6.068672736094874e-06, + "loss": 0.7494, + "step": 4044 + }, + { + "epoch": 0.64, + "learning_rate": 6.0639617256483926e-06, + "loss": 0.683, + "step": 4045 + }, + { + "epoch": 0.64, + "learning_rate": 6.059251748668444e-06, + "loss": 0.652, + "step": 4046 + }, + { + "epoch": 0.64, + "learning_rate": 6.0545428063917035e-06, + "loss": 0.7273, + "step": 4047 + }, + { + "epoch": 0.64, + "learning_rate": 6.049834900054574e-06, + "loss": 0.7278, + "step": 4048 + }, + { + "epoch": 0.64, + "learning_rate": 6.045128030893186e-06, + "loss": 0.7042, + "step": 4049 + }, + { + "epoch": 0.64, + "learning_rate": 6.040422200143403e-06, + "loss": 0.769, + "step": 4050 + }, + { + "epoch": 0.64, + "learning_rate": 6.03571740904081e-06, + "loss": 0.7266, + "step": 4051 + }, + { + "epoch": 0.64, + "learning_rate": 6.031013658820724e-06, + "loss": 0.6619, + "step": 4052 + }, + { + "epoch": 0.64, + "learning_rate": 6.026310950718182e-06, + "loss": 0.7361, + "step": 4053 + }, + { + "epoch": 0.64, + "learning_rate": 6.021609285967951e-06, + "loss": 0.7324, + "step": 4054 + }, + { + "epoch": 0.64, + "learning_rate": 6.016908665804526e-06, + "loss": 0.6616, + "step": 4055 + }, + { + "epoch": 0.64, + "learning_rate": 6.012209091462129e-06, + "loss": 0.7494, + "step": 4056 + }, + { + "epoch": 0.64, + "learning_rate": 6.007510564174701e-06, + "loss": 0.7559, + "step": 4057 + }, + { + "epoch": 0.64, + "learning_rate": 6.002813085175913e-06, + "loss": 0.7512, + "step": 4058 + }, + { + "epoch": 0.64, + "learning_rate": 5.9981166556991556e-06, + "loss": 0.7175, + "step": 4059 + }, + { + "epoch": 0.64, + "learning_rate": 5.993421276977554e-06, + "loss": 0.7759, + "step": 4060 + }, + { + "epoch": 0.64, + "learning_rate": 5.9887269502439485e-06, + "loss": 0.7476, + "step": 4061 + }, + { + "epoch": 0.64, + "learning_rate": 5.984033676730902e-06, + "loss": 0.7603, + "step": 4062 + }, + { + "epoch": 0.64, + "learning_rate": 5.979341457670709e-06, + "loss": 0.6823, + "step": 4063 + }, + { + "epoch": 0.64, + "learning_rate": 5.9746502942953875e-06, + "loss": 0.7477, + "step": 4064 + }, + { + "epoch": 0.64, + "learning_rate": 5.969960187836661e-06, + "loss": 0.7695, + "step": 4065 + }, + { + "epoch": 0.64, + "learning_rate": 5.9652711395259955e-06, + "loss": 0.7061, + "step": 4066 + }, + { + "epoch": 0.64, + "learning_rate": 5.9605831505945725e-06, + "loss": 0.7015, + "step": 4067 + }, + { + "epoch": 0.64, + "learning_rate": 5.955896222273292e-06, + "loss": 0.7285, + "step": 4068 + }, + { + "epoch": 0.64, + "learning_rate": 5.951210355792778e-06, + "loss": 0.6581, + "step": 4069 + }, + { + "epoch": 0.64, + "learning_rate": 5.946525552383377e-06, + "loss": 0.7402, + "step": 4070 + }, + { + "epoch": 0.64, + "learning_rate": 5.941841813275157e-06, + "loss": 0.2634, + "step": 4071 + }, + { + "epoch": 0.64, + "learning_rate": 5.9371591396979e-06, + "loss": 0.7834, + "step": 4072 + }, + { + "epoch": 0.64, + "learning_rate": 5.932477532881118e-06, + "loss": 0.7693, + "step": 4073 + }, + { + "epoch": 0.64, + "learning_rate": 5.927796994054036e-06, + "loss": 0.7091, + "step": 4074 + }, + { + "epoch": 0.64, + "learning_rate": 5.923117524445601e-06, + "loss": 0.7104, + "step": 4075 + }, + { + "epoch": 0.64, + "learning_rate": 5.918439125284476e-06, + "loss": 0.7432, + "step": 4076 + }, + { + "epoch": 0.64, + "learning_rate": 5.913761797799049e-06, + "loss": 0.7866, + "step": 4077 + }, + { + "epoch": 0.65, + "learning_rate": 5.909085543217418e-06, + "loss": 0.7607, + "step": 4078 + }, + { + "epoch": 0.65, + "learning_rate": 5.90441036276741e-06, + "loss": 0.6655, + "step": 4079 + }, + { + "epoch": 0.65, + "learning_rate": 5.8997362576765635e-06, + "loss": 0.686, + "step": 4080 + }, + { + "epoch": 0.65, + "learning_rate": 5.895063229172136e-06, + "loss": 0.7148, + "step": 4081 + }, + { + "epoch": 0.65, + "learning_rate": 5.8903912784810955e-06, + "loss": 0.6677, + "step": 4082 + }, + { + "epoch": 0.65, + "learning_rate": 5.885720406830143e-06, + "loss": 0.7206, + "step": 4083 + }, + { + "epoch": 0.65, + "learning_rate": 5.881050615445683e-06, + "loss": 0.7285, + "step": 4084 + }, + { + "epoch": 0.65, + "learning_rate": 5.8763819055538385e-06, + "loss": 0.712, + "step": 4085 + }, + { + "epoch": 0.65, + "learning_rate": 5.8717142783804495e-06, + "loss": 0.7129, + "step": 4086 + }, + { + "epoch": 0.65, + "learning_rate": 5.86704773515108e-06, + "loss": 0.7091, + "step": 4087 + }, + { + "epoch": 0.65, + "learning_rate": 5.86238227709099e-06, + "loss": 0.7251, + "step": 4088 + }, + { + "epoch": 0.65, + "learning_rate": 5.857717905425173e-06, + "loss": 0.6947, + "step": 4089 + }, + { + "epoch": 0.65, + "learning_rate": 5.853054621378329e-06, + "loss": 0.7715, + "step": 4090 + }, + { + "epoch": 0.65, + "learning_rate": 5.848392426174876e-06, + "loss": 0.7092, + "step": 4091 + }, + { + "epoch": 0.65, + "learning_rate": 5.843731321038939e-06, + "loss": 0.7329, + "step": 4092 + }, + { + "epoch": 0.65, + "learning_rate": 5.8390713071943686e-06, + "loss": 0.7644, + "step": 4093 + }, + { + "epoch": 0.65, + "learning_rate": 5.834412385864716e-06, + "loss": 0.7013, + "step": 4094 + }, + { + "epoch": 0.65, + "learning_rate": 5.829754558273257e-06, + "loss": 0.7557, + "step": 4095 + }, + { + "epoch": 0.65, + "learning_rate": 5.825097825642971e-06, + "loss": 0.7485, + "step": 4096 + }, + { + "epoch": 0.65, + "learning_rate": 5.8204421891965555e-06, + "loss": 0.689, + "step": 4097 + }, + { + "epoch": 0.65, + "learning_rate": 5.8157876501564124e-06, + "loss": 0.7271, + "step": 4098 + }, + { + "epoch": 0.65, + "learning_rate": 5.811134209744677e-06, + "loss": 0.6821, + "step": 4099 + }, + { + "epoch": 0.65, + "learning_rate": 5.8064818691831645e-06, + "loss": 0.7128, + "step": 4100 + }, + { + "epoch": 0.65, + "learning_rate": 5.801830629693425e-06, + "loss": 0.7198, + "step": 4101 + }, + { + "epoch": 0.65, + "learning_rate": 5.797180492496711e-06, + "loss": 0.7126, + "step": 4102 + }, + { + "epoch": 0.65, + "learning_rate": 5.7925314588139855e-06, + "loss": 0.6918, + "step": 4103 + }, + { + "epoch": 0.65, + "learning_rate": 5.787883529865918e-06, + "loss": 0.7155, + "step": 4104 + }, + { + "epoch": 0.65, + "learning_rate": 5.783236706872905e-06, + "loss": 0.7261, + "step": 4105 + }, + { + "epoch": 0.65, + "learning_rate": 5.778590991055031e-06, + "loss": 0.7556, + "step": 4106 + }, + { + "epoch": 0.65, + "learning_rate": 5.773946383632102e-06, + "loss": 0.7148, + "step": 4107 + }, + { + "epoch": 0.65, + "learning_rate": 5.76930288582363e-06, + "loss": 0.7286, + "step": 4108 + }, + { + "epoch": 0.65, + "learning_rate": 5.764660498848835e-06, + "loss": 0.7522, + "step": 4109 + }, + { + "epoch": 0.65, + "learning_rate": 5.760019223926647e-06, + "loss": 0.7542, + "step": 4110 + }, + { + "epoch": 0.65, + "learning_rate": 5.755379062275702e-06, + "loss": 0.7118, + "step": 4111 + }, + { + "epoch": 0.65, + "learning_rate": 5.750740015114347e-06, + "loss": 0.7683, + "step": 4112 + }, + { + "epoch": 0.65, + "learning_rate": 5.74610208366063e-06, + "loss": 0.7736, + "step": 4113 + }, + { + "epoch": 0.65, + "learning_rate": 5.741465269132315e-06, + "loss": 0.7554, + "step": 4114 + }, + { + "epoch": 0.65, + "learning_rate": 5.7368295727468645e-06, + "loss": 0.7449, + "step": 4115 + }, + { + "epoch": 0.65, + "learning_rate": 5.7321949957214515e-06, + "loss": 0.6481, + "step": 4116 + }, + { + "epoch": 0.65, + "learning_rate": 5.727561539272957e-06, + "loss": 0.7207, + "step": 4117 + }, + { + "epoch": 0.65, + "learning_rate": 5.722929204617958e-06, + "loss": 0.7236, + "step": 4118 + }, + { + "epoch": 0.65, + "learning_rate": 5.718297992972754e-06, + "loss": 0.2934, + "step": 4119 + }, + { + "epoch": 0.65, + "learning_rate": 5.713667905553336e-06, + "loss": 0.7654, + "step": 4120 + }, + { + "epoch": 0.65, + "learning_rate": 5.709038943575402e-06, + "loss": 0.2787, + "step": 4121 + }, + { + "epoch": 0.65, + "learning_rate": 5.704411108254358e-06, + "loss": 0.6847, + "step": 4122 + }, + { + "epoch": 0.65, + "learning_rate": 5.699784400805316e-06, + "loss": 0.7065, + "step": 4123 + }, + { + "epoch": 0.65, + "learning_rate": 5.695158822443075e-06, + "loss": 0.7684, + "step": 4124 + }, + { + "epoch": 0.65, + "learning_rate": 5.690534374382164e-06, + "loss": 0.7021, + "step": 4125 + }, + { + "epoch": 0.65, + "learning_rate": 5.685911057836797e-06, + "loss": 0.7096, + "step": 4126 + }, + { + "epoch": 0.65, + "learning_rate": 5.681288874020896e-06, + "loss": 0.7634, + "step": 4127 + }, + { + "epoch": 0.65, + "learning_rate": 5.6766678241480855e-06, + "loss": 0.6444, + "step": 4128 + }, + { + "epoch": 0.65, + "learning_rate": 5.672047909431694e-06, + "loss": 0.7472, + "step": 4129 + }, + { + "epoch": 0.65, + "learning_rate": 5.667429131084747e-06, + "loss": 0.6394, + "step": 4130 + }, + { + "epoch": 0.65, + "learning_rate": 5.662811490319974e-06, + "loss": 0.7739, + "step": 4131 + }, + { + "epoch": 0.65, + "learning_rate": 5.658194988349812e-06, + "loss": 0.7264, + "step": 4132 + }, + { + "epoch": 0.65, + "learning_rate": 5.653579626386391e-06, + "loss": 0.687, + "step": 4133 + }, + { + "epoch": 0.65, + "learning_rate": 5.648965405641546e-06, + "loss": 0.7476, + "step": 4134 + }, + { + "epoch": 0.65, + "learning_rate": 5.644352327326807e-06, + "loss": 0.7491, + "step": 4135 + }, + { + "epoch": 0.65, + "learning_rate": 5.639740392653409e-06, + "loss": 0.6986, + "step": 4136 + }, + { + "epoch": 0.65, + "learning_rate": 5.635129602832281e-06, + "loss": 0.7219, + "step": 4137 + }, + { + "epoch": 0.65, + "learning_rate": 5.6305199590740635e-06, + "loss": 0.7388, + "step": 4138 + }, + { + "epoch": 0.65, + "learning_rate": 5.625911462589086e-06, + "loss": 0.7506, + "step": 4139 + }, + { + "epoch": 0.65, + "learning_rate": 5.621304114587378e-06, + "loss": 0.7478, + "step": 4140 + }, + { + "epoch": 0.66, + "learning_rate": 5.616697916278669e-06, + "loss": 0.7639, + "step": 4141 + }, + { + "epoch": 0.66, + "learning_rate": 5.612092868872387e-06, + "loss": 0.7576, + "step": 4142 + }, + { + "epoch": 0.66, + "learning_rate": 5.607488973577655e-06, + "loss": 0.7275, + "step": 4143 + }, + { + "epoch": 0.66, + "learning_rate": 5.602886231603297e-06, + "loss": 0.7726, + "step": 4144 + }, + { + "epoch": 0.66, + "learning_rate": 5.598284644157828e-06, + "loss": 0.7473, + "step": 4145 + }, + { + "epoch": 0.66, + "learning_rate": 5.593684212449477e-06, + "loss": 0.7302, + "step": 4146 + }, + { + "epoch": 0.66, + "learning_rate": 5.589084937686145e-06, + "loss": 0.7675, + "step": 4147 + }, + { + "epoch": 0.66, + "learning_rate": 5.584486821075447e-06, + "loss": 0.769, + "step": 4148 + }, + { + "epoch": 0.66, + "learning_rate": 5.579889863824685e-06, + "loss": 0.7034, + "step": 4149 + }, + { + "epoch": 0.66, + "learning_rate": 5.575294067140862e-06, + "loss": 0.7533, + "step": 4150 + }, + { + "epoch": 0.66, + "learning_rate": 5.570699432230669e-06, + "loss": 0.7764, + "step": 4151 + }, + { + "epoch": 0.66, + "learning_rate": 5.566105960300505e-06, + "loss": 0.6934, + "step": 4152 + }, + { + "epoch": 0.66, + "learning_rate": 5.5615136525564515e-06, + "loss": 0.7485, + "step": 4153 + }, + { + "epoch": 0.66, + "learning_rate": 5.556922510204292e-06, + "loss": 0.683, + "step": 4154 + }, + { + "epoch": 0.66, + "learning_rate": 5.552332534449496e-06, + "loss": 0.6873, + "step": 4155 + }, + { + "epoch": 0.66, + "learning_rate": 5.5477437264972344e-06, + "loss": 0.7495, + "step": 4156 + }, + { + "epoch": 0.66, + "learning_rate": 5.543156087552366e-06, + "loss": 0.7217, + "step": 4157 + }, + { + "epoch": 0.66, + "learning_rate": 5.538569618819446e-06, + "loss": 0.7622, + "step": 4158 + }, + { + "epoch": 0.66, + "learning_rate": 5.533984321502721e-06, + "loss": 0.7235, + "step": 4159 + }, + { + "epoch": 0.66, + "learning_rate": 5.529400196806132e-06, + "loss": 0.7012, + "step": 4160 + }, + { + "epoch": 0.66, + "learning_rate": 5.524817245933307e-06, + "loss": 0.7085, + "step": 4161 + }, + { + "epoch": 0.66, + "learning_rate": 5.5202354700875724e-06, + "loss": 0.7732, + "step": 4162 + }, + { + "epoch": 0.66, + "learning_rate": 5.5156548704719426e-06, + "loss": 0.8086, + "step": 4163 + }, + { + "epoch": 0.66, + "learning_rate": 5.511075448289121e-06, + "loss": 0.686, + "step": 4164 + }, + { + "epoch": 0.66, + "learning_rate": 5.506497204741503e-06, + "loss": 0.6962, + "step": 4165 + }, + { + "epoch": 0.66, + "learning_rate": 5.5019201410311826e-06, + "loss": 0.7032, + "step": 4166 + }, + { + "epoch": 0.66, + "learning_rate": 5.497344258359933e-06, + "loss": 0.2615, + "step": 4167 + }, + { + "epoch": 0.66, + "learning_rate": 5.492769557929224e-06, + "loss": 0.7769, + "step": 4168 + }, + { + "epoch": 0.66, + "learning_rate": 5.48819604094021e-06, + "loss": 0.6368, + "step": 4169 + }, + { + "epoch": 0.66, + "learning_rate": 5.483623708593742e-06, + "loss": 0.6686, + "step": 4170 + }, + { + "epoch": 0.66, + "learning_rate": 5.479052562090342e-06, + "loss": 0.677, + "step": 4171 + }, + { + "epoch": 0.66, + "learning_rate": 5.474482602630248e-06, + "loss": 0.6665, + "step": 4172 + }, + { + "epoch": 0.66, + "learning_rate": 5.469913831413367e-06, + "loss": 0.7131, + "step": 4173 + }, + { + "epoch": 0.66, + "learning_rate": 5.4653462496392985e-06, + "loss": 0.7471, + "step": 4174 + }, + { + "epoch": 0.66, + "learning_rate": 5.460779858507333e-06, + "loss": 0.7397, + "step": 4175 + }, + { + "epoch": 0.66, + "learning_rate": 5.456214659216441e-06, + "loss": 0.6292, + "step": 4176 + }, + { + "epoch": 0.66, + "learning_rate": 5.4516506529652906e-06, + "loss": 0.7394, + "step": 4177 + }, + { + "epoch": 0.66, + "learning_rate": 5.447087840952221e-06, + "loss": 0.7422, + "step": 4178 + }, + { + "epoch": 0.66, + "learning_rate": 5.442526224375281e-06, + "loss": 0.6925, + "step": 4179 + }, + { + "epoch": 0.66, + "learning_rate": 5.4379658044321845e-06, + "loss": 0.6659, + "step": 4180 + }, + { + "epoch": 0.66, + "learning_rate": 5.433406582320341e-06, + "loss": 0.7715, + "step": 4181 + }, + { + "epoch": 0.66, + "learning_rate": 5.428848559236846e-06, + "loss": 0.7576, + "step": 4182 + }, + { + "epoch": 0.66, + "learning_rate": 5.424291736378471e-06, + "loss": 0.7256, + "step": 4183 + }, + { + "epoch": 0.66, + "learning_rate": 5.419736114941676e-06, + "loss": 0.2783, + "step": 4184 + }, + { + "epoch": 0.66, + "learning_rate": 5.41518169612262e-06, + "loss": 0.7764, + "step": 4185 + }, + { + "epoch": 0.66, + "learning_rate": 5.410628481117131e-06, + "loss": 0.7463, + "step": 4186 + }, + { + "epoch": 0.66, + "learning_rate": 5.4060764711207205e-06, + "loss": 0.7336, + "step": 4187 + }, + { + "epoch": 0.66, + "learning_rate": 5.401525667328591e-06, + "loss": 0.6849, + "step": 4188 + }, + { + "epoch": 0.66, + "learning_rate": 5.396976070935624e-06, + "loss": 0.6533, + "step": 4189 + }, + { + "epoch": 0.66, + "learning_rate": 5.392427683136385e-06, + "loss": 0.7585, + "step": 4190 + }, + { + "epoch": 0.66, + "learning_rate": 5.3878805051251225e-06, + "loss": 0.7716, + "step": 4191 + }, + { + "epoch": 0.66, + "learning_rate": 5.383334538095763e-06, + "loss": 0.7622, + "step": 4192 + }, + { + "epoch": 0.66, + "learning_rate": 5.378789783241932e-06, + "loss": 0.7771, + "step": 4193 + }, + { + "epoch": 0.66, + "learning_rate": 5.374246241756911e-06, + "loss": 0.7017, + "step": 4194 + }, + { + "epoch": 0.66, + "learning_rate": 5.369703914833679e-06, + "loss": 0.7384, + "step": 4195 + }, + { + "epoch": 0.66, + "learning_rate": 5.365162803664892e-06, + "loss": 0.7634, + "step": 4196 + }, + { + "epoch": 0.66, + "learning_rate": 5.36062290944289e-06, + "loss": 0.709, + "step": 4197 + }, + { + "epoch": 0.66, + "learning_rate": 5.356084233359686e-06, + "loss": 0.7369, + "step": 4198 + }, + { + "epoch": 0.66, + "learning_rate": 5.351546776606986e-06, + "loss": 0.7129, + "step": 4199 + }, + { + "epoch": 0.66, + "learning_rate": 5.347010540376165e-06, + "loss": 0.7238, + "step": 4200 + }, + { + "epoch": 0.66, + "learning_rate": 5.342475525858279e-06, + "loss": 0.7041, + "step": 4201 + }, + { + "epoch": 0.66, + "learning_rate": 5.337941734244068e-06, + "loss": 0.7166, + "step": 4202 + }, + { + "epoch": 0.66, + "learning_rate": 5.333409166723943e-06, + "loss": 0.707, + "step": 4203 + }, + { + "epoch": 0.67, + "learning_rate": 5.328877824488001e-06, + "loss": 0.7249, + "step": 4204 + }, + { + "epoch": 0.67, + "learning_rate": 5.3243477087260155e-06, + "loss": 0.7722, + "step": 4205 + }, + { + "epoch": 0.67, + "learning_rate": 5.319818820627436e-06, + "loss": 0.7183, + "step": 4206 + }, + { + "epoch": 0.67, + "learning_rate": 5.3152911613813895e-06, + "loss": 0.6953, + "step": 4207 + }, + { + "epoch": 0.67, + "learning_rate": 5.310764732176683e-06, + "loss": 0.6949, + "step": 4208 + }, + { + "epoch": 0.67, + "learning_rate": 5.3062395342018e-06, + "loss": 0.6716, + "step": 4209 + }, + { + "epoch": 0.67, + "learning_rate": 5.301715568644899e-06, + "loss": 0.7163, + "step": 4210 + }, + { + "epoch": 0.67, + "learning_rate": 5.297192836693814e-06, + "loss": 0.7207, + "step": 4211 + }, + { + "epoch": 0.67, + "learning_rate": 5.2926713395360555e-06, + "loss": 0.7549, + "step": 4212 + }, + { + "epoch": 0.67, + "learning_rate": 5.288151078358819e-06, + "loss": 0.7634, + "step": 4213 + }, + { + "epoch": 0.67, + "learning_rate": 5.283632054348961e-06, + "loss": 0.718, + "step": 4214 + }, + { + "epoch": 0.67, + "learning_rate": 5.279114268693022e-06, + "loss": 0.7507, + "step": 4215 + }, + { + "epoch": 0.67, + "learning_rate": 5.274597722577215e-06, + "loss": 0.7109, + "step": 4216 + }, + { + "epoch": 0.67, + "learning_rate": 5.2700824171874296e-06, + "loss": 0.7327, + "step": 4217 + }, + { + "epoch": 0.67, + "learning_rate": 5.265568353709218e-06, + "loss": 0.6247, + "step": 4218 + }, + { + "epoch": 0.67, + "learning_rate": 5.261055533327828e-06, + "loss": 0.7205, + "step": 4219 + }, + { + "epoch": 0.67, + "learning_rate": 5.256543957228164e-06, + "loss": 0.2914, + "step": 4220 + }, + { + "epoch": 0.67, + "learning_rate": 5.25203362659481e-06, + "loss": 0.7041, + "step": 4221 + }, + { + "epoch": 0.67, + "learning_rate": 5.24752454261202e-06, + "loss": 0.7, + "step": 4222 + }, + { + "epoch": 0.67, + "learning_rate": 5.243016706463724e-06, + "loss": 0.7761, + "step": 4223 + }, + { + "epoch": 0.67, + "learning_rate": 5.23851011933352e-06, + "loss": 0.7168, + "step": 4224 + }, + { + "epoch": 0.67, + "learning_rate": 5.23400478240468e-06, + "loss": 0.7129, + "step": 4225 + }, + { + "epoch": 0.67, + "learning_rate": 5.229500696860155e-06, + "loss": 0.2642, + "step": 4226 + }, + { + "epoch": 0.67, + "learning_rate": 5.224997863882557e-06, + "loss": 0.7275, + "step": 4227 + }, + { + "epoch": 0.67, + "learning_rate": 5.220496284654173e-06, + "loss": 0.6628, + "step": 4228 + }, + { + "epoch": 0.67, + "learning_rate": 5.215995960356965e-06, + "loss": 0.6954, + "step": 4229 + }, + { + "epoch": 0.67, + "learning_rate": 5.211496892172554e-06, + "loss": 0.7363, + "step": 4230 + }, + { + "epoch": 0.67, + "learning_rate": 5.206999081282238e-06, + "loss": 0.7222, + "step": 4231 + }, + { + "epoch": 0.67, + "learning_rate": 5.202502528866993e-06, + "loss": 0.7778, + "step": 4232 + }, + { + "epoch": 0.67, + "learning_rate": 5.198007236107454e-06, + "loss": 0.7068, + "step": 4233 + }, + { + "epoch": 0.67, + "learning_rate": 5.193513204183928e-06, + "loss": 0.7764, + "step": 4234 + }, + { + "epoch": 0.67, + "learning_rate": 5.18902043427639e-06, + "loss": 0.7217, + "step": 4235 + }, + { + "epoch": 0.67, + "learning_rate": 5.184528927564487e-06, + "loss": 0.7144, + "step": 4236 + }, + { + "epoch": 0.67, + "learning_rate": 5.180038685227531e-06, + "loss": 0.7615, + "step": 4237 + }, + { + "epoch": 0.67, + "learning_rate": 5.175549708444503e-06, + "loss": 0.707, + "step": 4238 + }, + { + "epoch": 0.67, + "learning_rate": 5.171061998394048e-06, + "loss": 0.7864, + "step": 4239 + }, + { + "epoch": 0.67, + "learning_rate": 5.166575556254494e-06, + "loss": 0.6997, + "step": 4240 + }, + { + "epoch": 0.67, + "learning_rate": 5.1620903832038135e-06, + "loss": 0.7429, + "step": 4241 + }, + { + "epoch": 0.67, + "learning_rate": 5.157606480419661e-06, + "loss": 0.7466, + "step": 4242 + }, + { + "epoch": 0.67, + "learning_rate": 5.153123849079351e-06, + "loss": 0.7017, + "step": 4243 + }, + { + "epoch": 0.67, + "learning_rate": 5.148642490359868e-06, + "loss": 0.7058, + "step": 4244 + }, + { + "epoch": 0.67, + "learning_rate": 5.144162405437857e-06, + "loss": 0.6766, + "step": 4245 + }, + { + "epoch": 0.67, + "learning_rate": 5.139683595489639e-06, + "loss": 0.7133, + "step": 4246 + }, + { + "epoch": 0.67, + "learning_rate": 5.135206061691189e-06, + "loss": 0.7266, + "step": 4247 + }, + { + "epoch": 0.67, + "learning_rate": 5.1307298052181545e-06, + "loss": 0.7762, + "step": 4248 + }, + { + "epoch": 0.67, + "learning_rate": 5.12625482724584e-06, + "loss": 0.7688, + "step": 4249 + }, + { + "epoch": 0.67, + "learning_rate": 5.121781128949224e-06, + "loss": 0.6895, + "step": 4250 + }, + { + "epoch": 0.67, + "learning_rate": 5.117308711502939e-06, + "loss": 0.7203, + "step": 4251 + }, + { + "epoch": 0.67, + "learning_rate": 5.112837576081288e-06, + "loss": 0.7466, + "step": 4252 + }, + { + "epoch": 0.67, + "learning_rate": 5.108367723858237e-06, + "loss": 0.2563, + "step": 4253 + }, + { + "epoch": 0.67, + "learning_rate": 5.10389915600741e-06, + "loss": 0.7573, + "step": 4254 + }, + { + "epoch": 0.67, + "learning_rate": 5.099431873702101e-06, + "loss": 0.2366, + "step": 4255 + }, + { + "epoch": 0.67, + "learning_rate": 5.09496587811526e-06, + "loss": 0.7299, + "step": 4256 + }, + { + "epoch": 0.67, + "learning_rate": 5.090501170419503e-06, + "loss": 0.2554, + "step": 4257 + }, + { + "epoch": 0.67, + "learning_rate": 5.086037751787105e-06, + "loss": 0.2723, + "step": 4258 + }, + { + "epoch": 0.67, + "learning_rate": 5.0815756233900036e-06, + "loss": 0.6721, + "step": 4259 + }, + { + "epoch": 0.67, + "learning_rate": 5.077114786399804e-06, + "loss": 0.7076, + "step": 4260 + }, + { + "epoch": 0.67, + "learning_rate": 5.072655241987763e-06, + "loss": 0.7111, + "step": 4261 + }, + { + "epoch": 0.67, + "learning_rate": 5.0681969913248005e-06, + "loss": 0.6602, + "step": 4262 + }, + { + "epoch": 0.67, + "learning_rate": 5.0637400355815e-06, + "loss": 0.7169, + "step": 4263 + }, + { + "epoch": 0.67, + "learning_rate": 5.0592843759281065e-06, + "loss": 0.6792, + "step": 4264 + }, + { + "epoch": 0.67, + "learning_rate": 5.054830013534506e-06, + "loss": 0.7557, + "step": 4265 + }, + { + "epoch": 0.67, + "learning_rate": 5.050376949570275e-06, + "loss": 0.7383, + "step": 4266 + }, + { + "epoch": 0.68, + "learning_rate": 5.045925185204625e-06, + "loss": 0.7014, + "step": 4267 + }, + { + "epoch": 0.68, + "learning_rate": 5.041474721606438e-06, + "loss": 0.6877, + "step": 4268 + }, + { + "epoch": 0.68, + "learning_rate": 5.037025559944249e-06, + "loss": 0.7208, + "step": 4269 + }, + { + "epoch": 0.68, + "learning_rate": 5.032577701386252e-06, + "loss": 0.7261, + "step": 4270 + }, + { + "epoch": 0.68, + "learning_rate": 5.0281311471003e-06, + "loss": 0.7476, + "step": 4271 + }, + { + "epoch": 0.68, + "learning_rate": 5.023685898253905e-06, + "loss": 0.8018, + "step": 4272 + }, + { + "epoch": 0.68, + "learning_rate": 5.019241956014229e-06, + "loss": 0.7053, + "step": 4273 + }, + { + "epoch": 0.68, + "learning_rate": 5.014799321548105e-06, + "loss": 0.7493, + "step": 4274 + }, + { + "epoch": 0.68, + "learning_rate": 5.0103579960220085e-06, + "loss": 0.3043, + "step": 4275 + }, + { + "epoch": 0.68, + "learning_rate": 5.005917980602083e-06, + "loss": 0.7407, + "step": 4276 + }, + { + "epoch": 0.68, + "learning_rate": 5.001479276454113e-06, + "loss": 0.6849, + "step": 4277 + }, + { + "epoch": 0.68, + "learning_rate": 4.997041884743551e-06, + "loss": 0.6827, + "step": 4278 + }, + { + "epoch": 0.68, + "learning_rate": 4.992605806635499e-06, + "loss": 0.7024, + "step": 4279 + }, + { + "epoch": 0.68, + "learning_rate": 4.988171043294723e-06, + "loss": 0.7324, + "step": 4280 + }, + { + "epoch": 0.68, + "learning_rate": 4.9837375958856334e-06, + "loss": 0.3031, + "step": 4281 + }, + { + "epoch": 0.68, + "learning_rate": 4.979305465572301e-06, + "loss": 0.7314, + "step": 4282 + }, + { + "epoch": 0.68, + "learning_rate": 4.974874653518447e-06, + "loss": 0.7332, + "step": 4283 + }, + { + "epoch": 0.68, + "learning_rate": 4.9704451608874485e-06, + "loss": 0.7241, + "step": 4284 + }, + { + "epoch": 0.68, + "learning_rate": 4.966016988842335e-06, + "loss": 0.7388, + "step": 4285 + }, + { + "epoch": 0.68, + "learning_rate": 4.961590138545789e-06, + "loss": 0.6718, + "step": 4286 + }, + { + "epoch": 0.68, + "learning_rate": 4.957164611160152e-06, + "loss": 0.6802, + "step": 4287 + }, + { + "epoch": 0.68, + "learning_rate": 4.952740407847416e-06, + "loss": 0.6565, + "step": 4288 + }, + { + "epoch": 0.68, + "learning_rate": 4.948317529769214e-06, + "loss": 0.6559, + "step": 4289 + }, + { + "epoch": 0.68, + "learning_rate": 4.943895978086843e-06, + "loss": 0.7207, + "step": 4290 + }, + { + "epoch": 0.68, + "learning_rate": 4.939475753961248e-06, + "loss": 0.7535, + "step": 4291 + }, + { + "epoch": 0.68, + "learning_rate": 4.935056858553023e-06, + "loss": 0.6466, + "step": 4292 + }, + { + "epoch": 0.68, + "learning_rate": 4.9306392930224235e-06, + "loss": 0.745, + "step": 4293 + }, + { + "epoch": 0.68, + "learning_rate": 4.926223058529344e-06, + "loss": 0.7507, + "step": 4294 + }, + { + "epoch": 0.68, + "learning_rate": 4.921808156233334e-06, + "loss": 0.7769, + "step": 4295 + }, + { + "epoch": 0.68, + "learning_rate": 4.917394587293595e-06, + "loss": 0.7301, + "step": 4296 + }, + { + "epoch": 0.68, + "learning_rate": 4.9129823528689725e-06, + "loss": 0.7189, + "step": 4297 + }, + { + "epoch": 0.68, + "learning_rate": 4.908571454117969e-06, + "loss": 0.681, + "step": 4298 + }, + { + "epoch": 0.68, + "learning_rate": 4.904161892198731e-06, + "loss": 0.7479, + "step": 4299 + }, + { + "epoch": 0.68, + "learning_rate": 4.899753668269056e-06, + "loss": 0.707, + "step": 4300 + }, + { + "epoch": 0.68, + "learning_rate": 4.895346783486391e-06, + "loss": 0.725, + "step": 4301 + }, + { + "epoch": 0.68, + "learning_rate": 4.89094123900783e-06, + "loss": 0.6998, + "step": 4302 + }, + { + "epoch": 0.68, + "learning_rate": 4.886537035990116e-06, + "loss": 0.7104, + "step": 4303 + }, + { + "epoch": 0.68, + "learning_rate": 4.882134175589637e-06, + "loss": 0.7329, + "step": 4304 + }, + { + "epoch": 0.68, + "learning_rate": 4.877732658962433e-06, + "loss": 0.6539, + "step": 4305 + }, + { + "epoch": 0.68, + "learning_rate": 4.8733324872641856e-06, + "loss": 0.7612, + "step": 4306 + }, + { + "epoch": 0.68, + "learning_rate": 4.868933661650232e-06, + "loss": 0.7274, + "step": 4307 + }, + { + "epoch": 0.68, + "learning_rate": 4.864536183275548e-06, + "loss": 0.6816, + "step": 4308 + }, + { + "epoch": 0.68, + "learning_rate": 4.860140053294759e-06, + "loss": 0.769, + "step": 4309 + }, + { + "epoch": 0.68, + "learning_rate": 4.855745272862134e-06, + "loss": 0.6729, + "step": 4310 + }, + { + "epoch": 0.68, + "learning_rate": 4.851351843131594e-06, + "loss": 0.7489, + "step": 4311 + }, + { + "epoch": 0.68, + "learning_rate": 4.846959765256689e-06, + "loss": 0.7097, + "step": 4312 + }, + { + "epoch": 0.68, + "learning_rate": 4.842569040390637e-06, + "loss": 0.7581, + "step": 4313 + }, + { + "epoch": 0.68, + "learning_rate": 4.838179669686285e-06, + "loss": 0.7737, + "step": 4314 + }, + { + "epoch": 0.68, + "learning_rate": 4.833791654296129e-06, + "loss": 0.7031, + "step": 4315 + }, + { + "epoch": 0.68, + "learning_rate": 4.829404995372311e-06, + "loss": 0.7327, + "step": 4316 + }, + { + "epoch": 0.68, + "learning_rate": 4.825019694066612e-06, + "loss": 0.6404, + "step": 4317 + }, + { + "epoch": 0.68, + "learning_rate": 4.820635751530461e-06, + "loss": 0.755, + "step": 4318 + }, + { + "epoch": 0.68, + "learning_rate": 4.81625316891493e-06, + "loss": 0.7498, + "step": 4319 + }, + { + "epoch": 0.68, + "learning_rate": 4.811871947370724e-06, + "loss": 0.6632, + "step": 4320 + }, + { + "epoch": 0.68, + "learning_rate": 4.807492088048211e-06, + "loss": 0.7098, + "step": 4321 + }, + { + "epoch": 0.68, + "learning_rate": 4.803113592097383e-06, + "loss": 0.7028, + "step": 4322 + }, + { + "epoch": 0.68, + "learning_rate": 4.798736460667888e-06, + "loss": 0.7595, + "step": 4323 + }, + { + "epoch": 0.68, + "learning_rate": 4.794360694908996e-06, + "loss": 0.6753, + "step": 4324 + }, + { + "epoch": 0.68, + "learning_rate": 4.789986295969637e-06, + "loss": 0.3075, + "step": 4325 + }, + { + "epoch": 0.68, + "learning_rate": 4.785613264998373e-06, + "loss": 0.6976, + "step": 4326 + }, + { + "epoch": 0.68, + "learning_rate": 4.781241603143415e-06, + "loss": 0.708, + "step": 4327 + }, + { + "epoch": 0.68, + "learning_rate": 4.776871311552607e-06, + "loss": 0.3072, + "step": 4328 + }, + { + "epoch": 0.68, + "learning_rate": 4.772502391373433e-06, + "loss": 0.7239, + "step": 4329 + }, + { + "epoch": 0.69, + "learning_rate": 4.768134843753022e-06, + "loss": 0.7637, + "step": 4330 + }, + { + "epoch": 0.69, + "learning_rate": 4.763768669838137e-06, + "loss": 0.7576, + "step": 4331 + }, + { + "epoch": 0.69, + "learning_rate": 4.7594038707751855e-06, + "loss": 0.6775, + "step": 4332 + }, + { + "epoch": 0.69, + "learning_rate": 4.7550404477102076e-06, + "loss": 0.74, + "step": 4333 + }, + { + "epoch": 0.69, + "learning_rate": 4.750678401788893e-06, + "loss": 0.6537, + "step": 4334 + }, + { + "epoch": 0.69, + "learning_rate": 4.746317734156564e-06, + "loss": 0.703, + "step": 4335 + }, + { + "epoch": 0.69, + "learning_rate": 4.74195844595817e-06, + "loss": 0.7361, + "step": 4336 + }, + { + "epoch": 0.69, + "learning_rate": 4.737600538338315e-06, + "loss": 0.6772, + "step": 4337 + }, + { + "epoch": 0.69, + "learning_rate": 4.733244012441233e-06, + "loss": 0.7213, + "step": 4338 + }, + { + "epoch": 0.69, + "learning_rate": 4.7288888694107906e-06, + "loss": 0.7144, + "step": 4339 + }, + { + "epoch": 0.69, + "learning_rate": 4.724535110390505e-06, + "loss": 0.7316, + "step": 4340 + }, + { + "epoch": 0.69, + "learning_rate": 4.720182736523517e-06, + "loss": 0.7561, + "step": 4341 + }, + { + "epoch": 0.69, + "learning_rate": 4.7158317489526116e-06, + "loss": 0.7698, + "step": 4342 + }, + { + "epoch": 0.69, + "learning_rate": 4.711482148820204e-06, + "loss": 0.8018, + "step": 4343 + }, + { + "epoch": 0.69, + "learning_rate": 4.707133937268348e-06, + "loss": 0.7106, + "step": 4344 + }, + { + "epoch": 0.69, + "learning_rate": 4.702787115438732e-06, + "loss": 0.6882, + "step": 4345 + }, + { + "epoch": 0.69, + "learning_rate": 4.69844168447268e-06, + "loss": 0.7096, + "step": 4346 + }, + { + "epoch": 0.69, + "learning_rate": 4.694097645511152e-06, + "loss": 0.7583, + "step": 4347 + }, + { + "epoch": 0.69, + "learning_rate": 4.68975499969474e-06, + "loss": 0.7515, + "step": 4348 + }, + { + "epoch": 0.69, + "learning_rate": 4.685413748163673e-06, + "loss": 0.7761, + "step": 4349 + }, + { + "epoch": 0.69, + "learning_rate": 4.681073892057811e-06, + "loss": 0.7415, + "step": 4350 + }, + { + "epoch": 0.69, + "learning_rate": 4.676735432516649e-06, + "loss": 0.6936, + "step": 4351 + }, + { + "epoch": 0.69, + "learning_rate": 4.672398370679317e-06, + "loss": 0.7151, + "step": 4352 + }, + { + "epoch": 0.69, + "learning_rate": 4.668062707684571e-06, + "loss": 0.7285, + "step": 4353 + }, + { + "epoch": 0.69, + "learning_rate": 4.663728444670813e-06, + "loss": 0.7094, + "step": 4354 + }, + { + "epoch": 0.69, + "learning_rate": 4.659395582776066e-06, + "loss": 0.268, + "step": 4355 + }, + { + "epoch": 0.69, + "learning_rate": 4.655064123137988e-06, + "loss": 0.7345, + "step": 4356 + }, + { + "epoch": 0.69, + "learning_rate": 4.6507340668938695e-06, + "loss": 0.6936, + "step": 4357 + }, + { + "epoch": 0.69, + "learning_rate": 4.646405415180637e-06, + "loss": 0.759, + "step": 4358 + }, + { + "epoch": 0.69, + "learning_rate": 4.6420781691348314e-06, + "loss": 0.6758, + "step": 4359 + }, + { + "epoch": 0.69, + "learning_rate": 4.637752329892648e-06, + "loss": 0.7549, + "step": 4360 + }, + { + "epoch": 0.69, + "learning_rate": 4.6334278985899e-06, + "loss": 0.7087, + "step": 4361 + }, + { + "epoch": 0.69, + "learning_rate": 4.629104876362029e-06, + "loss": 0.7324, + "step": 4362 + }, + { + "epoch": 0.69, + "learning_rate": 4.624783264344113e-06, + "loss": 0.7552, + "step": 4363 + }, + { + "epoch": 0.69, + "learning_rate": 4.620463063670854e-06, + "loss": 0.738, + "step": 4364 + }, + { + "epoch": 0.69, + "learning_rate": 4.616144275476588e-06, + "loss": 0.7548, + "step": 4365 + }, + { + "epoch": 0.69, + "learning_rate": 4.611826900895278e-06, + "loss": 0.7422, + "step": 4366 + }, + { + "epoch": 0.69, + "learning_rate": 4.607510941060511e-06, + "loss": 0.7585, + "step": 4367 + }, + { + "epoch": 0.69, + "learning_rate": 4.603196397105518e-06, + "loss": 0.7069, + "step": 4368 + }, + { + "epoch": 0.69, + "learning_rate": 4.598883270163143e-06, + "loss": 0.7347, + "step": 4369 + }, + { + "epoch": 0.69, + "learning_rate": 4.594571561365866e-06, + "loss": 0.7661, + "step": 4370 + }, + { + "epoch": 0.69, + "learning_rate": 4.590261271845784e-06, + "loss": 0.6907, + "step": 4371 + }, + { + "epoch": 0.69, + "learning_rate": 4.585952402734632e-06, + "loss": 0.7708, + "step": 4372 + }, + { + "epoch": 0.69, + "learning_rate": 4.581644955163768e-06, + "loss": 0.7502, + "step": 4373 + }, + { + "epoch": 0.69, + "learning_rate": 4.5773389302641826e-06, + "loss": 0.6978, + "step": 4374 + }, + { + "epoch": 0.69, + "learning_rate": 4.573034329166484e-06, + "loss": 0.6816, + "step": 4375 + }, + { + "epoch": 0.69, + "learning_rate": 4.568731153000913e-06, + "loss": 0.6379, + "step": 4376 + }, + { + "epoch": 0.69, + "learning_rate": 4.56442940289733e-06, + "loss": 0.7576, + "step": 4377 + }, + { + "epoch": 0.69, + "learning_rate": 4.560129079985228e-06, + "loss": 0.7516, + "step": 4378 + }, + { + "epoch": 0.69, + "learning_rate": 4.5558301853937214e-06, + "loss": 0.7177, + "step": 4379 + }, + { + "epoch": 0.69, + "learning_rate": 4.5515327202515456e-06, + "loss": 0.7017, + "step": 4380 + }, + { + "epoch": 0.69, + "learning_rate": 4.547236685687073e-06, + "loss": 0.7451, + "step": 4381 + }, + { + "epoch": 0.69, + "learning_rate": 4.5429420828282925e-06, + "loss": 0.7104, + "step": 4382 + }, + { + "epoch": 0.69, + "learning_rate": 4.538648912802809e-06, + "loss": 0.7432, + "step": 4383 + }, + { + "epoch": 0.69, + "learning_rate": 4.534357176737865e-06, + "loss": 0.7244, + "step": 4384 + }, + { + "epoch": 0.69, + "learning_rate": 4.530066875760318e-06, + "loss": 0.2659, + "step": 4385 + }, + { + "epoch": 0.69, + "learning_rate": 4.525778010996652e-06, + "loss": 0.6935, + "step": 4386 + }, + { + "epoch": 0.69, + "learning_rate": 4.521490583572977e-06, + "loss": 0.7454, + "step": 4387 + }, + { + "epoch": 0.69, + "learning_rate": 4.517204594615021e-06, + "loss": 0.6807, + "step": 4388 + }, + { + "epoch": 0.69, + "learning_rate": 4.5129200452481334e-06, + "loss": 0.7158, + "step": 4389 + }, + { + "epoch": 0.69, + "learning_rate": 4.508636936597289e-06, + "loss": 0.7014, + "step": 4390 + }, + { + "epoch": 0.69, + "learning_rate": 4.504355269787083e-06, + "loss": 0.7356, + "step": 4391 + }, + { + "epoch": 0.69, + "learning_rate": 4.500075045941731e-06, + "loss": 0.2786, + "step": 4392 + }, + { + "epoch": 0.69, + "learning_rate": 4.495796266185071e-06, + "loss": 0.7312, + "step": 4393 + }, + { + "epoch": 0.7, + "learning_rate": 4.491518931640561e-06, + "loss": 0.6796, + "step": 4394 + }, + { + "epoch": 0.7, + "learning_rate": 4.487243043431282e-06, + "loss": 0.7098, + "step": 4395 + }, + { + "epoch": 0.7, + "learning_rate": 4.48296860267993e-06, + "loss": 0.7028, + "step": 4396 + }, + { + "epoch": 0.7, + "learning_rate": 4.478695610508828e-06, + "loss": 0.7451, + "step": 4397 + }, + { + "epoch": 0.7, + "learning_rate": 4.474424068039912e-06, + "loss": 0.7393, + "step": 4398 + }, + { + "epoch": 0.7, + "learning_rate": 4.470153976394741e-06, + "loss": 0.718, + "step": 4399 + }, + { + "epoch": 0.7, + "learning_rate": 4.46588533669449e-06, + "loss": 0.3066, + "step": 4400 + }, + { + "epoch": 0.7, + "learning_rate": 4.4616181500599595e-06, + "loss": 0.708, + "step": 4401 + }, + { + "epoch": 0.7, + "learning_rate": 4.457352417611565e-06, + "loss": 0.2886, + "step": 4402 + }, + { + "epoch": 0.7, + "learning_rate": 4.453088140469334e-06, + "loss": 0.7219, + "step": 4403 + }, + { + "epoch": 0.7, + "learning_rate": 4.4488253197529205e-06, + "loss": 0.2656, + "step": 4404 + }, + { + "epoch": 0.7, + "learning_rate": 4.444563956581591e-06, + "loss": 0.7473, + "step": 4405 + }, + { + "epoch": 0.7, + "learning_rate": 4.440304052074233e-06, + "loss": 0.7722, + "step": 4406 + }, + { + "epoch": 0.7, + "learning_rate": 4.436045607349347e-06, + "loss": 0.7391, + "step": 4407 + }, + { + "epoch": 0.7, + "learning_rate": 4.431788623525054e-06, + "loss": 0.7092, + "step": 4408 + }, + { + "epoch": 0.7, + "learning_rate": 4.427533101719088e-06, + "loss": 0.2893, + "step": 4409 + }, + { + "epoch": 0.7, + "learning_rate": 4.423279043048802e-06, + "loss": 0.7566, + "step": 4410 + }, + { + "epoch": 0.7, + "learning_rate": 4.419026448631162e-06, + "loss": 0.6677, + "step": 4411 + }, + { + "epoch": 0.7, + "learning_rate": 4.414775319582752e-06, + "loss": 0.7247, + "step": 4412 + }, + { + "epoch": 0.7, + "learning_rate": 4.410525657019772e-06, + "loss": 0.7095, + "step": 4413 + }, + { + "epoch": 0.7, + "learning_rate": 4.40627746205803e-06, + "loss": 0.6361, + "step": 4414 + }, + { + "epoch": 0.7, + "learning_rate": 4.402030735812961e-06, + "loss": 0.7483, + "step": 4415 + }, + { + "epoch": 0.7, + "learning_rate": 4.397785479399605e-06, + "loss": 0.7173, + "step": 4416 + }, + { + "epoch": 0.7, + "learning_rate": 4.393541693932621e-06, + "loss": 0.75, + "step": 4417 + }, + { + "epoch": 0.7, + "learning_rate": 4.389299380526273e-06, + "loss": 0.6646, + "step": 4418 + }, + { + "epoch": 0.7, + "learning_rate": 4.385058540294447e-06, + "loss": 0.79, + "step": 4419 + }, + { + "epoch": 0.7, + "learning_rate": 4.380819174350637e-06, + "loss": 0.7411, + "step": 4420 + }, + { + "epoch": 0.7, + "learning_rate": 4.37658128380796e-06, + "loss": 0.6507, + "step": 4421 + }, + { + "epoch": 0.7, + "learning_rate": 4.372344869779136e-06, + "loss": 0.707, + "step": 4422 + }, + { + "epoch": 0.7, + "learning_rate": 4.368109933376498e-06, + "loss": 0.6964, + "step": 4423 + }, + { + "epoch": 0.7, + "learning_rate": 4.363876475711992e-06, + "loss": 0.6621, + "step": 4424 + }, + { + "epoch": 0.7, + "learning_rate": 4.3596444978971795e-06, + "loss": 0.6901, + "step": 4425 + }, + { + "epoch": 0.7, + "learning_rate": 4.355414001043228e-06, + "loss": 0.6917, + "step": 4426 + }, + { + "epoch": 0.7, + "learning_rate": 4.35118498626092e-06, + "loss": 0.7539, + "step": 4427 + }, + { + "epoch": 0.7, + "learning_rate": 4.346957454660643e-06, + "loss": 0.7292, + "step": 4428 + }, + { + "epoch": 0.7, + "learning_rate": 4.342731407352411e-06, + "loss": 0.6919, + "step": 4429 + }, + { + "epoch": 0.7, + "learning_rate": 4.338506845445824e-06, + "loss": 0.6987, + "step": 4430 + }, + { + "epoch": 0.7, + "learning_rate": 4.334283770050112e-06, + "loss": 0.7275, + "step": 4431 + }, + { + "epoch": 0.7, + "learning_rate": 4.330062182274104e-06, + "loss": 0.2915, + "step": 4432 + }, + { + "epoch": 0.7, + "learning_rate": 4.325842083226244e-06, + "loss": 0.7212, + "step": 4433 + }, + { + "epoch": 0.7, + "learning_rate": 4.321623474014579e-06, + "loss": 0.7108, + "step": 4434 + }, + { + "epoch": 0.7, + "learning_rate": 4.3174063557467746e-06, + "loss": 0.6923, + "step": 4435 + }, + { + "epoch": 0.7, + "learning_rate": 4.313190729530098e-06, + "loss": 0.273, + "step": 4436 + }, + { + "epoch": 0.7, + "learning_rate": 4.308976596471424e-06, + "loss": 0.7266, + "step": 4437 + }, + { + "epoch": 0.7, + "learning_rate": 4.304763957677237e-06, + "loss": 0.72, + "step": 4438 + }, + { + "epoch": 0.7, + "learning_rate": 4.30055281425363e-06, + "loss": 0.6855, + "step": 4439 + }, + { + "epoch": 0.7, + "learning_rate": 4.2963431673063035e-06, + "loss": 0.7722, + "step": 4440 + }, + { + "epoch": 0.7, + "learning_rate": 4.292135017940562e-06, + "loss": 0.6969, + "step": 4441 + }, + { + "epoch": 0.7, + "learning_rate": 4.28792836726132e-06, + "loss": 0.7003, + "step": 4442 + }, + { + "epoch": 0.7, + "learning_rate": 4.283723216373098e-06, + "loss": 0.7502, + "step": 4443 + }, + { + "epoch": 0.7, + "learning_rate": 4.279519566380021e-06, + "loss": 0.7605, + "step": 4444 + }, + { + "epoch": 0.7, + "learning_rate": 4.275317418385821e-06, + "loss": 0.6908, + "step": 4445 + }, + { + "epoch": 0.7, + "learning_rate": 4.2711167734938365e-06, + "loss": 0.2802, + "step": 4446 + }, + { + "epoch": 0.7, + "learning_rate": 4.266917632807006e-06, + "loss": 0.6846, + "step": 4447 + }, + { + "epoch": 0.7, + "learning_rate": 4.262719997427887e-06, + "loss": 0.7068, + "step": 4448 + }, + { + "epoch": 0.7, + "learning_rate": 4.258523868458626e-06, + "loss": 0.7037, + "step": 4449 + }, + { + "epoch": 0.7, + "learning_rate": 4.254329247000981e-06, + "loss": 0.7322, + "step": 4450 + }, + { + "epoch": 0.7, + "learning_rate": 4.250136134156314e-06, + "loss": 0.27, + "step": 4451 + }, + { + "epoch": 0.7, + "learning_rate": 4.245944531025591e-06, + "loss": 0.7139, + "step": 4452 + }, + { + "epoch": 0.7, + "learning_rate": 4.241754438709379e-06, + "loss": 0.6838, + "step": 4453 + }, + { + "epoch": 0.7, + "learning_rate": 4.237565858307853e-06, + "loss": 0.6863, + "step": 4454 + }, + { + "epoch": 0.7, + "learning_rate": 4.233378790920786e-06, + "loss": 0.7754, + "step": 4455 + }, + { + "epoch": 0.7, + "learning_rate": 4.229193237647555e-06, + "loss": 0.2785, + "step": 4456 + }, + { + "epoch": 0.71, + "learning_rate": 4.225009199587145e-06, + "loss": 0.6849, + "step": 4457 + }, + { + "epoch": 0.71, + "learning_rate": 4.220826677838134e-06, + "loss": 0.7407, + "step": 4458 + }, + { + "epoch": 0.71, + "learning_rate": 4.21664567349871e-06, + "loss": 0.6826, + "step": 4459 + }, + { + "epoch": 0.71, + "learning_rate": 4.212466187666655e-06, + "loss": 0.6517, + "step": 4460 + }, + { + "epoch": 0.71, + "learning_rate": 4.208288221439357e-06, + "loss": 0.7231, + "step": 4461 + }, + { + "epoch": 0.71, + "learning_rate": 4.20411177591381e-06, + "loss": 0.733, + "step": 4462 + }, + { + "epoch": 0.71, + "learning_rate": 4.199936852186598e-06, + "loss": 0.6963, + "step": 4463 + }, + { + "epoch": 0.71, + "learning_rate": 4.195763451353913e-06, + "loss": 0.7135, + "step": 4464 + }, + { + "epoch": 0.71, + "learning_rate": 4.191591574511547e-06, + "loss": 0.7369, + "step": 4465 + }, + { + "epoch": 0.71, + "learning_rate": 4.187421222754882e-06, + "loss": 0.7063, + "step": 4466 + }, + { + "epoch": 0.71, + "learning_rate": 4.183252397178907e-06, + "loss": 0.7028, + "step": 4467 + }, + { + "epoch": 0.71, + "learning_rate": 4.1790850988782185e-06, + "loss": 0.7266, + "step": 4468 + }, + { + "epoch": 0.71, + "learning_rate": 4.174919328947e-06, + "loss": 0.6932, + "step": 4469 + }, + { + "epoch": 0.71, + "learning_rate": 4.170755088479038e-06, + "loss": 0.7095, + "step": 4470 + }, + { + "epoch": 0.71, + "learning_rate": 4.1665923785677155e-06, + "loss": 0.6948, + "step": 4471 + }, + { + "epoch": 0.71, + "learning_rate": 4.162431200306017e-06, + "loss": 0.7532, + "step": 4472 + }, + { + "epoch": 0.71, + "learning_rate": 4.1582715547865205e-06, + "loss": 0.7286, + "step": 4473 + }, + { + "epoch": 0.71, + "learning_rate": 4.154113443101406e-06, + "loss": 0.761, + "step": 4474 + }, + { + "epoch": 0.71, + "learning_rate": 4.149956866342445e-06, + "loss": 0.6447, + "step": 4475 + }, + { + "epoch": 0.71, + "learning_rate": 4.14580182560102e-06, + "loss": 0.7128, + "step": 4476 + }, + { + "epoch": 0.71, + "learning_rate": 4.141648321968089e-06, + "loss": 0.7329, + "step": 4477 + }, + { + "epoch": 0.71, + "learning_rate": 4.137496356534222e-06, + "loss": 0.7593, + "step": 4478 + }, + { + "epoch": 0.71, + "learning_rate": 4.1333459303895795e-06, + "loss": 0.673, + "step": 4479 + }, + { + "epoch": 0.71, + "learning_rate": 4.129197044623919e-06, + "loss": 0.7162, + "step": 4480 + }, + { + "epoch": 0.71, + "learning_rate": 4.1250497003265886e-06, + "loss": 0.7649, + "step": 4481 + }, + { + "epoch": 0.71, + "learning_rate": 4.120903898586547e-06, + "loss": 0.7214, + "step": 4482 + }, + { + "epoch": 0.71, + "learning_rate": 4.1167596404923305e-06, + "loss": 0.7023, + "step": 4483 + }, + { + "epoch": 0.71, + "learning_rate": 4.112616927132078e-06, + "loss": 0.7148, + "step": 4484 + }, + { + "epoch": 0.71, + "learning_rate": 4.108475759593522e-06, + "loss": 0.7102, + "step": 4485 + }, + { + "epoch": 0.71, + "learning_rate": 4.104336138963988e-06, + "loss": 0.6119, + "step": 4486 + }, + { + "epoch": 0.71, + "learning_rate": 4.100198066330398e-06, + "loss": 0.7401, + "step": 4487 + }, + { + "epoch": 0.71, + "learning_rate": 4.096061542779263e-06, + "loss": 0.6987, + "step": 4488 + }, + { + "epoch": 0.71, + "learning_rate": 4.091926569396692e-06, + "loss": 0.7668, + "step": 4489 + }, + { + "epoch": 0.71, + "learning_rate": 4.087793147268383e-06, + "loss": 0.7146, + "step": 4490 + }, + { + "epoch": 0.71, + "learning_rate": 4.083661277479631e-06, + "loss": 0.7865, + "step": 4491 + }, + { + "epoch": 0.71, + "learning_rate": 4.07953096111532e-06, + "loss": 0.653, + "step": 4492 + }, + { + "epoch": 0.71, + "learning_rate": 4.075402199259928e-06, + "loss": 0.7291, + "step": 4493 + }, + { + "epoch": 0.71, + "learning_rate": 4.07127499299752e-06, + "loss": 0.7036, + "step": 4494 + }, + { + "epoch": 0.71, + "learning_rate": 4.067149343411762e-06, + "loss": 0.7424, + "step": 4495 + }, + { + "epoch": 0.71, + "learning_rate": 4.063025251585904e-06, + "loss": 0.2986, + "step": 4496 + }, + { + "epoch": 0.71, + "learning_rate": 4.058902718602789e-06, + "loss": 0.7092, + "step": 4497 + }, + { + "epoch": 0.71, + "learning_rate": 4.05478174554485e-06, + "loss": 0.7705, + "step": 4498 + }, + { + "epoch": 0.71, + "learning_rate": 4.050662333494111e-06, + "loss": 0.6838, + "step": 4499 + }, + { + "epoch": 0.71, + "learning_rate": 4.046544483532186e-06, + "loss": 0.7681, + "step": 4500 + }, + { + "epoch": 0.71, + "learning_rate": 4.042428196740279e-06, + "loss": 0.7416, + "step": 4501 + }, + { + "epoch": 0.71, + "learning_rate": 4.038313474199184e-06, + "loss": 0.6833, + "step": 4502 + }, + { + "epoch": 0.71, + "learning_rate": 4.034200316989284e-06, + "loss": 0.733, + "step": 4503 + }, + { + "epoch": 0.71, + "learning_rate": 4.03008872619055e-06, + "loss": 0.6956, + "step": 4504 + }, + { + "epoch": 0.71, + "learning_rate": 4.0259787028825415e-06, + "loss": 0.7329, + "step": 4505 + }, + { + "epoch": 0.71, + "learning_rate": 4.021870248144409e-06, + "loss": 0.7079, + "step": 4506 + }, + { + "epoch": 0.71, + "learning_rate": 4.01776336305489e-06, + "loss": 0.7739, + "step": 4507 + }, + { + "epoch": 0.71, + "learning_rate": 4.013658048692305e-06, + "loss": 0.7141, + "step": 4508 + }, + { + "epoch": 0.71, + "learning_rate": 4.009554306134575e-06, + "loss": 0.717, + "step": 4509 + }, + { + "epoch": 0.71, + "learning_rate": 4.005452136459193e-06, + "loss": 0.731, + "step": 4510 + }, + { + "epoch": 0.71, + "learning_rate": 4.001351540743249e-06, + "loss": 0.7983, + "step": 4511 + }, + { + "epoch": 0.71, + "learning_rate": 3.997252520063419e-06, + "loss": 0.761, + "step": 4512 + }, + { + "epoch": 0.71, + "learning_rate": 3.993155075495955e-06, + "loss": 0.7339, + "step": 4513 + }, + { + "epoch": 0.71, + "learning_rate": 3.989059208116705e-06, + "loss": 0.6892, + "step": 4514 + }, + { + "epoch": 0.71, + "learning_rate": 3.984964919001107e-06, + "loss": 0.7338, + "step": 4515 + }, + { + "epoch": 0.71, + "learning_rate": 3.9808722092241755e-06, + "loss": 0.7161, + "step": 4516 + }, + { + "epoch": 0.71, + "learning_rate": 3.976781079860515e-06, + "loss": 0.7249, + "step": 4517 + }, + { + "epoch": 0.71, + "learning_rate": 3.972691531984311e-06, + "loss": 0.7206, + "step": 4518 + }, + { + "epoch": 0.71, + "learning_rate": 3.9686035666693365e-06, + "loss": 0.7129, + "step": 4519 + }, + { + "epoch": 0.72, + "learning_rate": 3.964517184988951e-06, + "loss": 0.7274, + "step": 4520 + }, + { + "epoch": 0.72, + "learning_rate": 3.960432388016093e-06, + "loss": 0.7605, + "step": 4521 + }, + { + "epoch": 0.72, + "learning_rate": 3.9563491768232874e-06, + "loss": 0.7141, + "step": 4522 + }, + { + "epoch": 0.72, + "learning_rate": 3.952267552482652e-06, + "loss": 0.7417, + "step": 4523 + }, + { + "epoch": 0.72, + "learning_rate": 3.94818751606587e-06, + "loss": 0.704, + "step": 4524 + }, + { + "epoch": 0.72, + "learning_rate": 3.944109068644217e-06, + "loss": 0.73, + "step": 4525 + }, + { + "epoch": 0.72, + "learning_rate": 3.940032211288556e-06, + "loss": 0.7231, + "step": 4526 + }, + { + "epoch": 0.72, + "learning_rate": 3.935956945069324e-06, + "loss": 0.7096, + "step": 4527 + }, + { + "epoch": 0.72, + "learning_rate": 3.9318832710565415e-06, + "loss": 0.7727, + "step": 4528 + }, + { + "epoch": 0.72, + "learning_rate": 3.927811190319821e-06, + "loss": 0.7202, + "step": 4529 + }, + { + "epoch": 0.72, + "learning_rate": 3.923740703928345e-06, + "loss": 0.8062, + "step": 4530 + }, + { + "epoch": 0.72, + "learning_rate": 3.9196718129508815e-06, + "loss": 0.7393, + "step": 4531 + }, + { + "epoch": 0.72, + "learning_rate": 3.915604518455779e-06, + "loss": 0.7264, + "step": 4532 + }, + { + "epoch": 0.72, + "learning_rate": 3.911538821510968e-06, + "loss": 0.6547, + "step": 4533 + }, + { + "epoch": 0.72, + "learning_rate": 3.90747472318396e-06, + "loss": 0.738, + "step": 4534 + }, + { + "epoch": 0.72, + "learning_rate": 3.903412224541844e-06, + "loss": 0.7788, + "step": 4535 + }, + { + "epoch": 0.72, + "learning_rate": 3.8993513266512905e-06, + "loss": 0.2986, + "step": 4536 + }, + { + "epoch": 0.72, + "learning_rate": 3.8952920305785505e-06, + "loss": 0.7311, + "step": 4537 + }, + { + "epoch": 0.72, + "learning_rate": 3.8912343373894535e-06, + "loss": 0.7812, + "step": 4538 + }, + { + "epoch": 0.72, + "learning_rate": 3.887178248149408e-06, + "loss": 0.7366, + "step": 4539 + }, + { + "epoch": 0.72, + "learning_rate": 3.883123763923403e-06, + "loss": 0.691, + "step": 4540 + }, + { + "epoch": 0.72, + "learning_rate": 3.879070885776e-06, + "loss": 0.7114, + "step": 4541 + }, + { + "epoch": 0.72, + "learning_rate": 3.875019614771352e-06, + "loss": 0.7202, + "step": 4542 + }, + { + "epoch": 0.72, + "learning_rate": 3.8709699519731755e-06, + "loss": 0.7556, + "step": 4543 + }, + { + "epoch": 0.72, + "learning_rate": 3.866921898444774e-06, + "loss": 0.7544, + "step": 4544 + }, + { + "epoch": 0.72, + "learning_rate": 3.862875455249023e-06, + "loss": 0.2778, + "step": 4545 + }, + { + "epoch": 0.72, + "learning_rate": 3.8588306234483795e-06, + "loss": 0.6997, + "step": 4546 + }, + { + "epoch": 0.72, + "learning_rate": 3.854787404104874e-06, + "loss": 0.72, + "step": 4547 + }, + { + "epoch": 0.72, + "learning_rate": 3.850745798280115e-06, + "loss": 0.6676, + "step": 4548 + }, + { + "epoch": 0.72, + "learning_rate": 3.846705807035288e-06, + "loss": 0.739, + "step": 4549 + }, + { + "epoch": 0.72, + "learning_rate": 3.842667431431154e-06, + "loss": 0.6947, + "step": 4550 + }, + { + "epoch": 0.72, + "learning_rate": 3.83863067252805e-06, + "loss": 0.7316, + "step": 4551 + }, + { + "epoch": 0.72, + "learning_rate": 3.8345955313858875e-06, + "loss": 0.7126, + "step": 4552 + }, + { + "epoch": 0.72, + "learning_rate": 3.830562009064153e-06, + "loss": 0.2562, + "step": 4553 + }, + { + "epoch": 0.72, + "learning_rate": 3.826530106621913e-06, + "loss": 0.739, + "step": 4554 + }, + { + "epoch": 0.72, + "learning_rate": 3.822499825117796e-06, + "loss": 0.6866, + "step": 4555 + }, + { + "epoch": 0.72, + "learning_rate": 3.818471165610024e-06, + "loss": 0.7296, + "step": 4556 + }, + { + "epoch": 0.72, + "learning_rate": 3.8144441291563773e-06, + "loss": 0.6855, + "step": 4557 + }, + { + "epoch": 0.72, + "learning_rate": 3.810418716814216e-06, + "loss": 0.7429, + "step": 4558 + }, + { + "epoch": 0.72, + "learning_rate": 3.806394929640478e-06, + "loss": 0.7805, + "step": 4559 + }, + { + "epoch": 0.72, + "learning_rate": 3.80237276869166e-06, + "loss": 0.7808, + "step": 4560 + }, + { + "epoch": 0.72, + "learning_rate": 3.798352235023843e-06, + "loss": 0.7102, + "step": 4561 + }, + { + "epoch": 0.72, + "learning_rate": 3.7943333296926865e-06, + "loss": 0.7695, + "step": 4562 + }, + { + "epoch": 0.72, + "learning_rate": 3.79031605375341e-06, + "loss": 0.7886, + "step": 4563 + }, + { + "epoch": 0.72, + "learning_rate": 3.786300408260811e-06, + "loss": 0.7181, + "step": 4564 + }, + { + "epoch": 0.72, + "learning_rate": 3.782286394269259e-06, + "loss": 0.6918, + "step": 4565 + }, + { + "epoch": 0.72, + "learning_rate": 3.778274012832693e-06, + "loss": 0.7356, + "step": 4566 + }, + { + "epoch": 0.72, + "learning_rate": 3.7742632650046253e-06, + "loss": 0.7592, + "step": 4567 + }, + { + "epoch": 0.72, + "learning_rate": 3.7702541518381374e-06, + "loss": 0.6558, + "step": 4568 + }, + { + "epoch": 0.72, + "learning_rate": 3.7662466743858804e-06, + "loss": 0.677, + "step": 4569 + }, + { + "epoch": 0.72, + "learning_rate": 3.762240833700086e-06, + "loss": 0.7166, + "step": 4570 + }, + { + "epoch": 0.72, + "learning_rate": 3.7582366308325457e-06, + "loss": 0.7097, + "step": 4571 + }, + { + "epoch": 0.72, + "learning_rate": 3.7542340668346198e-06, + "loss": 0.7212, + "step": 4572 + }, + { + "epoch": 0.72, + "learning_rate": 3.7502331427572435e-06, + "loss": 0.7893, + "step": 4573 + }, + { + "epoch": 0.72, + "learning_rate": 3.7462338596509206e-06, + "loss": 0.7875, + "step": 4574 + }, + { + "epoch": 0.72, + "learning_rate": 3.7422362185657213e-06, + "loss": 0.7126, + "step": 4575 + }, + { + "epoch": 0.72, + "learning_rate": 3.7382402205512912e-06, + "loss": 0.7144, + "step": 4576 + }, + { + "epoch": 0.72, + "learning_rate": 3.7342458666568392e-06, + "loss": 0.7184, + "step": 4577 + }, + { + "epoch": 0.72, + "learning_rate": 3.730253157931143e-06, + "loss": 0.7463, + "step": 4578 + }, + { + "epoch": 0.72, + "learning_rate": 3.726262095422548e-06, + "loss": 0.7085, + "step": 4579 + }, + { + "epoch": 0.72, + "learning_rate": 3.722272680178968e-06, + "loss": 0.7217, + "step": 4580 + }, + { + "epoch": 0.72, + "learning_rate": 3.718284913247886e-06, + "loss": 0.651, + "step": 4581 + }, + { + "epoch": 0.72, + "learning_rate": 3.7142987956763487e-06, + "loss": 0.7205, + "step": 4582 + }, + { + "epoch": 0.73, + "learning_rate": 3.7103143285109732e-06, + "loss": 0.7402, + "step": 4583 + }, + { + "epoch": 0.73, + "learning_rate": 3.7063315127979414e-06, + "loss": 0.7128, + "step": 4584 + }, + { + "epoch": 0.73, + "learning_rate": 3.7023503495830015e-06, + "loss": 0.6958, + "step": 4585 + }, + { + "epoch": 0.73, + "learning_rate": 3.698370839911469e-06, + "loss": 0.2877, + "step": 4586 + }, + { + "epoch": 0.73, + "learning_rate": 3.6943929848282234e-06, + "loss": 0.7472, + "step": 4587 + }, + { + "epoch": 0.73, + "learning_rate": 3.690416785377713e-06, + "loss": 0.7183, + "step": 4588 + }, + { + "epoch": 0.73, + "learning_rate": 3.6864422426039426e-06, + "loss": 0.7263, + "step": 4589 + }, + { + "epoch": 0.73, + "learning_rate": 3.682469357550499e-06, + "loss": 0.7287, + "step": 4590 + }, + { + "epoch": 0.73, + "learning_rate": 3.6784981312605174e-06, + "loss": 0.7271, + "step": 4591 + }, + { + "epoch": 0.73, + "learning_rate": 3.674528564776704e-06, + "loss": 0.7495, + "step": 4592 + }, + { + "epoch": 0.73, + "learning_rate": 3.67056065914133e-06, + "loss": 0.7018, + "step": 4593 + }, + { + "epoch": 0.73, + "learning_rate": 3.666594415396231e-06, + "loss": 0.6906, + "step": 4594 + }, + { + "epoch": 0.73, + "learning_rate": 3.662629834582795e-06, + "loss": 0.76, + "step": 4595 + }, + { + "epoch": 0.73, + "learning_rate": 3.658666917741993e-06, + "loss": 0.7043, + "step": 4596 + }, + { + "epoch": 0.73, + "learning_rate": 3.6547056659143454e-06, + "loss": 0.7351, + "step": 4597 + }, + { + "epoch": 0.73, + "learning_rate": 3.6507460801399386e-06, + "loss": 0.7437, + "step": 4598 + }, + { + "epoch": 0.73, + "learning_rate": 3.6467881614584232e-06, + "loss": 0.7115, + "step": 4599 + }, + { + "epoch": 0.73, + "learning_rate": 3.6428319109090095e-06, + "loss": 0.7817, + "step": 4600 + }, + { + "epoch": 0.73, + "learning_rate": 3.6388773295304703e-06, + "loss": 0.7505, + "step": 4601 + }, + { + "epoch": 0.73, + "learning_rate": 3.6349244183611397e-06, + "loss": 0.7468, + "step": 4602 + }, + { + "epoch": 0.73, + "learning_rate": 3.630973178438919e-06, + "loss": 0.7808, + "step": 4603 + }, + { + "epoch": 0.73, + "learning_rate": 3.627023610801265e-06, + "loss": 0.6786, + "step": 4604 + }, + { + "epoch": 0.73, + "learning_rate": 3.623075716485195e-06, + "loss": 0.762, + "step": 4605 + }, + { + "epoch": 0.73, + "learning_rate": 3.619129496527293e-06, + "loss": 0.7732, + "step": 4606 + }, + { + "epoch": 0.73, + "learning_rate": 3.6151849519636904e-06, + "loss": 0.3033, + "step": 4607 + }, + { + "epoch": 0.73, + "learning_rate": 3.6112420838300886e-06, + "loss": 0.718, + "step": 4608 + }, + { + "epoch": 0.73, + "learning_rate": 3.6073008931617536e-06, + "loss": 0.6473, + "step": 4609 + }, + { + "epoch": 0.73, + "learning_rate": 3.603361380993502e-06, + "loss": 0.7301, + "step": 4610 + }, + { + "epoch": 0.73, + "learning_rate": 3.5994235483597117e-06, + "loss": 0.7488, + "step": 4611 + }, + { + "epoch": 0.73, + "learning_rate": 3.5954873962943217e-06, + "loss": 0.7107, + "step": 4612 + }, + { + "epoch": 0.73, + "learning_rate": 3.591552925830827e-06, + "loss": 0.7449, + "step": 4613 + }, + { + "epoch": 0.73, + "learning_rate": 3.5876201380022825e-06, + "loss": 0.6913, + "step": 4614 + }, + { + "epoch": 0.73, + "learning_rate": 3.5836890338413024e-06, + "loss": 0.7314, + "step": 4615 + }, + { + "epoch": 0.73, + "learning_rate": 3.579759614380053e-06, + "loss": 0.7471, + "step": 4616 + }, + { + "epoch": 0.73, + "learning_rate": 3.57583188065027e-06, + "loss": 0.6692, + "step": 4617 + }, + { + "epoch": 0.73, + "learning_rate": 3.57190583368324e-06, + "loss": 0.7551, + "step": 4618 + }, + { + "epoch": 0.73, + "learning_rate": 3.5679814745097994e-06, + "loss": 0.7549, + "step": 4619 + }, + { + "epoch": 0.73, + "learning_rate": 3.5640588041603518e-06, + "loss": 0.74, + "step": 4620 + }, + { + "epoch": 0.73, + "learning_rate": 3.560137823664853e-06, + "loss": 0.74, + "step": 4621 + }, + { + "epoch": 0.73, + "learning_rate": 3.5562185340528134e-06, + "loss": 0.7035, + "step": 4622 + }, + { + "epoch": 0.73, + "learning_rate": 3.552300936353308e-06, + "loss": 0.6388, + "step": 4623 + }, + { + "epoch": 0.73, + "learning_rate": 3.5483850315949574e-06, + "loss": 0.6831, + "step": 4624 + }, + { + "epoch": 0.73, + "learning_rate": 3.544470820805943e-06, + "loss": 0.6987, + "step": 4625 + }, + { + "epoch": 0.73, + "learning_rate": 3.540558305014e-06, + "loss": 0.7325, + "step": 4626 + }, + { + "epoch": 0.73, + "learning_rate": 3.5366474852464196e-06, + "loss": 0.7073, + "step": 4627 + }, + { + "epoch": 0.73, + "learning_rate": 3.5327383625300437e-06, + "loss": 0.6849, + "step": 4628 + }, + { + "epoch": 0.73, + "learning_rate": 3.5288309378912755e-06, + "loss": 0.6436, + "step": 4629 + }, + { + "epoch": 0.73, + "learning_rate": 3.5249252123560663e-06, + "loss": 0.6662, + "step": 4630 + }, + { + "epoch": 0.73, + "learning_rate": 3.5210211869499244e-06, + "loss": 0.6705, + "step": 4631 + }, + { + "epoch": 0.73, + "learning_rate": 3.5171188626979105e-06, + "loss": 0.7986, + "step": 4632 + }, + { + "epoch": 0.73, + "learning_rate": 3.5132182406246383e-06, + "loss": 0.7396, + "step": 4633 + }, + { + "epoch": 0.73, + "learning_rate": 3.5093193217542766e-06, + "loss": 0.7141, + "step": 4634 + }, + { + "epoch": 0.73, + "learning_rate": 3.5054221071105456e-06, + "loss": 0.2639, + "step": 4635 + }, + { + "epoch": 0.73, + "learning_rate": 3.5015265977167145e-06, + "loss": 0.7134, + "step": 4636 + }, + { + "epoch": 0.73, + "learning_rate": 3.4976327945956144e-06, + "loss": 0.7439, + "step": 4637 + }, + { + "epoch": 0.73, + "learning_rate": 3.4937406987696198e-06, + "loss": 0.7595, + "step": 4638 + }, + { + "epoch": 0.73, + "learning_rate": 3.4898503112606584e-06, + "loss": 0.6926, + "step": 4639 + }, + { + "epoch": 0.73, + "learning_rate": 3.485961633090212e-06, + "loss": 0.7717, + "step": 4640 + }, + { + "epoch": 0.73, + "learning_rate": 3.4820746652793146e-06, + "loss": 0.7322, + "step": 4641 + }, + { + "epoch": 0.73, + "learning_rate": 3.478189408848539e-06, + "loss": 0.7179, + "step": 4642 + }, + { + "epoch": 0.73, + "learning_rate": 3.4743058648180263e-06, + "loss": 0.728, + "step": 4643 + }, + { + "epoch": 0.73, + "learning_rate": 3.470424034207459e-06, + "loss": 0.6995, + "step": 4644 + }, + { + "epoch": 0.73, + "learning_rate": 3.4665439180360692e-06, + "loss": 0.2764, + "step": 4645 + }, + { + "epoch": 0.74, + "learning_rate": 3.4626655173226396e-06, + "loss": 0.7615, + "step": 4646 + }, + { + "epoch": 0.74, + "learning_rate": 3.4587888330855057e-06, + "loss": 0.7515, + "step": 4647 + }, + { + "epoch": 0.74, + "learning_rate": 3.4549138663425476e-06, + "loss": 0.6809, + "step": 4648 + }, + { + "epoch": 0.74, + "learning_rate": 3.4510406181111932e-06, + "loss": 0.6946, + "step": 4649 + }, + { + "epoch": 0.74, + "learning_rate": 3.4471690894084298e-06, + "loss": 0.6886, + "step": 4650 + }, + { + "epoch": 0.74, + "learning_rate": 3.4432992812507827e-06, + "loss": 0.774, + "step": 4651 + }, + { + "epoch": 0.74, + "learning_rate": 3.439431194654329e-06, + "loss": 0.7283, + "step": 4652 + }, + { + "epoch": 0.74, + "learning_rate": 3.4355648306346956e-06, + "loss": 0.7131, + "step": 4653 + }, + { + "epoch": 0.74, + "learning_rate": 3.431700190207049e-06, + "loss": 0.7205, + "step": 4654 + }, + { + "epoch": 0.74, + "learning_rate": 3.4278372743861097e-06, + "loss": 0.7596, + "step": 4655 + }, + { + "epoch": 0.74, + "learning_rate": 3.4239760841861514e-06, + "loss": 0.7108, + "step": 4656 + }, + { + "epoch": 0.74, + "learning_rate": 3.4201166206209847e-06, + "loss": 0.7058, + "step": 4657 + }, + { + "epoch": 0.74, + "learning_rate": 3.41625888470397e-06, + "loss": 0.6823, + "step": 4658 + }, + { + "epoch": 0.74, + "learning_rate": 3.4124028774480134e-06, + "loss": 0.7318, + "step": 4659 + }, + { + "epoch": 0.74, + "learning_rate": 3.4085485998655697e-06, + "loss": 0.2723, + "step": 4660 + }, + { + "epoch": 0.74, + "learning_rate": 3.404696052968638e-06, + "loss": 0.7483, + "step": 4661 + }, + { + "epoch": 0.74, + "learning_rate": 3.4008452377687605e-06, + "loss": 0.725, + "step": 4662 + }, + { + "epoch": 0.74, + "learning_rate": 3.396996155277027e-06, + "loss": 0.7283, + "step": 4663 + }, + { + "epoch": 0.74, + "learning_rate": 3.3931488065040773e-06, + "loss": 0.7262, + "step": 4664 + }, + { + "epoch": 0.74, + "learning_rate": 3.389303192460092e-06, + "loss": 0.7983, + "step": 4665 + }, + { + "epoch": 0.74, + "learning_rate": 3.3854593141547877e-06, + "loss": 0.7346, + "step": 4666 + }, + { + "epoch": 0.74, + "learning_rate": 3.3816171725974356e-06, + "loss": 0.697, + "step": 4667 + }, + { + "epoch": 0.74, + "learning_rate": 3.377776768796851e-06, + "loss": 0.7236, + "step": 4668 + }, + { + "epoch": 0.74, + "learning_rate": 3.373938103761385e-06, + "loss": 0.6591, + "step": 4669 + }, + { + "epoch": 0.74, + "learning_rate": 3.3701011784989435e-06, + "loss": 0.7485, + "step": 4670 + }, + { + "epoch": 0.74, + "learning_rate": 3.3662659940169673e-06, + "loss": 0.7373, + "step": 4671 + }, + { + "epoch": 0.74, + "learning_rate": 3.362432551322441e-06, + "loss": 0.7153, + "step": 4672 + }, + { + "epoch": 0.74, + "learning_rate": 3.358600851421895e-06, + "loss": 0.7517, + "step": 4673 + }, + { + "epoch": 0.74, + "learning_rate": 3.3547708953213974e-06, + "loss": 0.733, + "step": 4674 + }, + { + "epoch": 0.74, + "learning_rate": 3.3509426840265644e-06, + "loss": 0.7336, + "step": 4675 + }, + { + "epoch": 0.74, + "learning_rate": 3.3471162185425486e-06, + "loss": 0.2803, + "step": 4676 + }, + { + "epoch": 0.74, + "learning_rate": 3.3432914998740474e-06, + "loss": 0.6523, + "step": 4677 + }, + { + "epoch": 0.74, + "learning_rate": 3.3394685290252992e-06, + "loss": 0.7085, + "step": 4678 + }, + { + "epoch": 0.74, + "learning_rate": 3.335647307000082e-06, + "loss": 0.7253, + "step": 4679 + }, + { + "epoch": 0.74, + "learning_rate": 3.3318278348017154e-06, + "loss": 0.7283, + "step": 4680 + }, + { + "epoch": 0.74, + "learning_rate": 3.328010113433061e-06, + "loss": 0.7488, + "step": 4681 + }, + { + "epoch": 0.74, + "learning_rate": 3.3241941438965186e-06, + "loss": 0.7544, + "step": 4682 + }, + { + "epoch": 0.74, + "learning_rate": 3.3203799271940253e-06, + "loss": 0.7057, + "step": 4683 + }, + { + "epoch": 0.74, + "learning_rate": 3.3165674643270685e-06, + "loss": 0.6964, + "step": 4684 + }, + { + "epoch": 0.74, + "learning_rate": 3.3127567562966658e-06, + "loss": 0.2692, + "step": 4685 + }, + { + "epoch": 0.74, + "learning_rate": 3.308947804103374e-06, + "loss": 0.7205, + "step": 4686 + }, + { + "epoch": 0.74, + "learning_rate": 3.305140608747294e-06, + "loss": 0.7622, + "step": 4687 + }, + { + "epoch": 0.74, + "learning_rate": 3.3013351712280605e-06, + "loss": 0.6846, + "step": 4688 + }, + { + "epoch": 0.74, + "learning_rate": 3.2975314925448498e-06, + "loss": 0.698, + "step": 4689 + }, + { + "epoch": 0.74, + "learning_rate": 3.2937295736963758e-06, + "loss": 0.7903, + "step": 4690 + }, + { + "epoch": 0.74, + "learning_rate": 3.2899294156808893e-06, + "loss": 0.6614, + "step": 4691 + }, + { + "epoch": 0.74, + "learning_rate": 3.2861310194961793e-06, + "loss": 0.6875, + "step": 4692 + }, + { + "epoch": 0.74, + "learning_rate": 3.2823343861395727e-06, + "loss": 0.724, + "step": 4693 + }, + { + "epoch": 0.74, + "learning_rate": 3.2785395166079327e-06, + "loss": 0.7266, + "step": 4694 + }, + { + "epoch": 0.74, + "learning_rate": 3.27474641189766e-06, + "loss": 0.7217, + "step": 4695 + }, + { + "epoch": 0.74, + "learning_rate": 3.2709550730046893e-06, + "loss": 0.7148, + "step": 4696 + }, + { + "epoch": 0.74, + "learning_rate": 3.2671655009244996e-06, + "loss": 0.6714, + "step": 4697 + }, + { + "epoch": 0.74, + "learning_rate": 3.263377696652098e-06, + "loss": 0.2755, + "step": 4698 + }, + { + "epoch": 0.74, + "learning_rate": 3.259591661182029e-06, + "loss": 0.7079, + "step": 4699 + }, + { + "epoch": 0.74, + "learning_rate": 3.255807395508378e-06, + "loss": 0.7052, + "step": 4700 + }, + { + "epoch": 0.74, + "learning_rate": 3.2520249006247538e-06, + "loss": 0.6748, + "step": 4701 + }, + { + "epoch": 0.74, + "learning_rate": 3.248244177524308e-06, + "loss": 0.7228, + "step": 4702 + }, + { + "epoch": 0.74, + "learning_rate": 3.2444652271997344e-06, + "loss": 0.7437, + "step": 4703 + }, + { + "epoch": 0.74, + "learning_rate": 3.2406880506432493e-06, + "loss": 0.7712, + "step": 4704 + }, + { + "epoch": 0.74, + "learning_rate": 3.2369126488466073e-06, + "loss": 0.6984, + "step": 4705 + }, + { + "epoch": 0.74, + "learning_rate": 3.2331390228010982e-06, + "loss": 0.7803, + "step": 4706 + }, + { + "epoch": 0.74, + "learning_rate": 3.2293671734975452e-06, + "loss": 0.6863, + "step": 4707 + }, + { + "epoch": 0.74, + "learning_rate": 3.2255971019263043e-06, + "loss": 0.7178, + "step": 4708 + }, + { + "epoch": 0.74, + "learning_rate": 3.2218288090772642e-06, + "loss": 0.7377, + "step": 4709 + }, + { + "epoch": 0.75, + "learning_rate": 3.2180622959398443e-06, + "loss": 0.7412, + "step": 4710 + }, + { + "epoch": 0.75, + "learning_rate": 3.214297563503006e-06, + "loss": 0.7294, + "step": 4711 + }, + { + "epoch": 0.75, + "learning_rate": 3.2105346127552372e-06, + "loss": 0.7, + "step": 4712 + }, + { + "epoch": 0.75, + "learning_rate": 3.2067734446845523e-06, + "loss": 0.7275, + "step": 4713 + }, + { + "epoch": 0.75, + "learning_rate": 3.2030140602785043e-06, + "loss": 0.6166, + "step": 4714 + }, + { + "epoch": 0.75, + "learning_rate": 3.1992564605241783e-06, + "loss": 0.6667, + "step": 4715 + }, + { + "epoch": 0.75, + "learning_rate": 3.195500646408184e-06, + "loss": 0.2722, + "step": 4716 + }, + { + "epoch": 0.75, + "learning_rate": 3.1917466189166758e-06, + "loss": 0.7456, + "step": 4717 + }, + { + "epoch": 0.75, + "learning_rate": 3.187994379035326e-06, + "loss": 0.7269, + "step": 4718 + }, + { + "epoch": 0.75, + "learning_rate": 3.184243927749343e-06, + "loss": 0.7217, + "step": 4719 + }, + { + "epoch": 0.75, + "learning_rate": 3.180495266043463e-06, + "loss": 0.7272, + "step": 4720 + }, + { + "epoch": 0.75, + "learning_rate": 3.1767483949019563e-06, + "loss": 0.7449, + "step": 4721 + }, + { + "epoch": 0.75, + "learning_rate": 3.1730033153086184e-06, + "loss": 0.7175, + "step": 4722 + }, + { + "epoch": 0.75, + "learning_rate": 3.1692600282467777e-06, + "loss": 0.7015, + "step": 4723 + }, + { + "epoch": 0.75, + "learning_rate": 3.1655185346992923e-06, + "loss": 0.6713, + "step": 4724 + }, + { + "epoch": 0.75, + "learning_rate": 3.161778835648547e-06, + "loss": 0.6791, + "step": 4725 + }, + { + "epoch": 0.75, + "learning_rate": 3.158040932076455e-06, + "loss": 0.6887, + "step": 4726 + }, + { + "epoch": 0.75, + "learning_rate": 3.1543048249644615e-06, + "loss": 0.7183, + "step": 4727 + }, + { + "epoch": 0.75, + "learning_rate": 3.1505705152935374e-06, + "loss": 0.6406, + "step": 4728 + }, + { + "epoch": 0.75, + "learning_rate": 3.1468380040441824e-06, + "loss": 0.73, + "step": 4729 + }, + { + "epoch": 0.75, + "learning_rate": 3.1431072921964212e-06, + "loss": 0.7473, + "step": 4730 + }, + { + "epoch": 0.75, + "learning_rate": 3.139378380729815e-06, + "loss": 0.6511, + "step": 4731 + }, + { + "epoch": 0.75, + "learning_rate": 3.135651270623442e-06, + "loss": 0.7195, + "step": 4732 + }, + { + "epoch": 0.75, + "learning_rate": 3.131925962855913e-06, + "loss": 0.6952, + "step": 4733 + }, + { + "epoch": 0.75, + "learning_rate": 3.128202458405362e-06, + "loss": 0.7539, + "step": 4734 + }, + { + "epoch": 0.75, + "learning_rate": 3.124480758249453e-06, + "loss": 0.6918, + "step": 4735 + }, + { + "epoch": 0.75, + "learning_rate": 3.1207608633653743e-06, + "loss": 0.7118, + "step": 4736 + }, + { + "epoch": 0.75, + "learning_rate": 3.1170427747298403e-06, + "loss": 0.7183, + "step": 4737 + }, + { + "epoch": 0.75, + "learning_rate": 3.113326493319093e-06, + "loss": 0.6742, + "step": 4738 + }, + { + "epoch": 0.75, + "learning_rate": 3.1096120201088973e-06, + "loss": 0.6919, + "step": 4739 + }, + { + "epoch": 0.75, + "learning_rate": 3.1058993560745444e-06, + "loss": 0.6868, + "step": 4740 + }, + { + "epoch": 0.75, + "learning_rate": 3.1021885021908515e-06, + "loss": 0.7344, + "step": 4741 + }, + { + "epoch": 0.75, + "learning_rate": 3.0984794594321577e-06, + "loss": 0.7067, + "step": 4742 + }, + { + "epoch": 0.75, + "learning_rate": 3.09477222877233e-06, + "loss": 0.7334, + "step": 4743 + }, + { + "epoch": 0.75, + "learning_rate": 3.091066811184755e-06, + "loss": 0.7245, + "step": 4744 + }, + { + "epoch": 0.75, + "learning_rate": 3.087363207642352e-06, + "loss": 0.7297, + "step": 4745 + }, + { + "epoch": 0.75, + "learning_rate": 3.083661419117555e-06, + "loss": 0.7053, + "step": 4746 + }, + { + "epoch": 0.75, + "learning_rate": 3.079961446582328e-06, + "loss": 0.7017, + "step": 4747 + }, + { + "epoch": 0.75, + "learning_rate": 3.0762632910081493e-06, + "loss": 0.7268, + "step": 4748 + }, + { + "epoch": 0.75, + "learning_rate": 3.0725669533660274e-06, + "loss": 0.7019, + "step": 4749 + }, + { + "epoch": 0.75, + "learning_rate": 3.06887243462649e-06, + "loss": 0.7141, + "step": 4750 + }, + { + "epoch": 0.75, + "learning_rate": 3.0651797357595935e-06, + "loss": 0.7817, + "step": 4751 + }, + { + "epoch": 0.75, + "learning_rate": 3.061488857734911e-06, + "loss": 0.7731, + "step": 4752 + }, + { + "epoch": 0.75, + "learning_rate": 3.0577998015215383e-06, + "loss": 0.6804, + "step": 4753 + }, + { + "epoch": 0.75, + "learning_rate": 3.0541125680880914e-06, + "loss": 0.6885, + "step": 4754 + }, + { + "epoch": 0.75, + "learning_rate": 3.05042715840271e-06, + "loss": 0.731, + "step": 4755 + }, + { + "epoch": 0.75, + "learning_rate": 3.0467435734330553e-06, + "loss": 0.2598, + "step": 4756 + }, + { + "epoch": 0.75, + "learning_rate": 3.043061814146304e-06, + "loss": 0.7185, + "step": 4757 + }, + { + "epoch": 0.75, + "learning_rate": 3.0393818815091645e-06, + "loss": 0.6864, + "step": 4758 + }, + { + "epoch": 0.75, + "learning_rate": 3.0357037764878594e-06, + "loss": 0.7578, + "step": 4759 + }, + { + "epoch": 0.75, + "learning_rate": 3.0320275000481248e-06, + "loss": 0.679, + "step": 4760 + }, + { + "epoch": 0.75, + "learning_rate": 3.028353053155225e-06, + "loss": 0.6812, + "step": 4761 + }, + { + "epoch": 0.75, + "learning_rate": 3.0246804367739414e-06, + "loss": 0.2775, + "step": 4762 + }, + { + "epoch": 0.75, + "learning_rate": 3.0210096518685738e-06, + "loss": 0.698, + "step": 4763 + }, + { + "epoch": 0.75, + "learning_rate": 3.0173406994029474e-06, + "loss": 0.6699, + "step": 4764 + }, + { + "epoch": 0.75, + "learning_rate": 3.0136735803403983e-06, + "loss": 0.7195, + "step": 4765 + }, + { + "epoch": 0.75, + "learning_rate": 3.010008295643785e-06, + "loss": 0.714, + "step": 4766 + }, + { + "epoch": 0.75, + "learning_rate": 3.006344846275482e-06, + "loss": 0.7379, + "step": 4767 + }, + { + "epoch": 0.75, + "learning_rate": 3.0026832331973855e-06, + "loss": 0.7468, + "step": 4768 + }, + { + "epoch": 0.75, + "learning_rate": 2.9990234573709054e-06, + "loss": 0.6985, + "step": 4769 + }, + { + "epoch": 0.75, + "learning_rate": 2.995365519756973e-06, + "loss": 0.709, + "step": 4770 + }, + { + "epoch": 0.75, + "learning_rate": 2.9917094213160346e-06, + "loss": 0.7856, + "step": 4771 + }, + { + "epoch": 0.75, + "learning_rate": 2.9880551630080543e-06, + "loss": 0.6746, + "step": 4772 + }, + { + "epoch": 0.76, + "learning_rate": 2.9844027457925127e-06, + "loss": 0.7162, + "step": 4773 + }, + { + "epoch": 0.76, + "learning_rate": 2.980752170628408e-06, + "loss": 0.7325, + "step": 4774 + }, + { + "epoch": 0.76, + "learning_rate": 2.9771034384742536e-06, + "loss": 0.707, + "step": 4775 + }, + { + "epoch": 0.76, + "learning_rate": 2.9734565502880807e-06, + "loss": 0.7174, + "step": 4776 + }, + { + "epoch": 0.76, + "learning_rate": 2.96981150702743e-06, + "loss": 0.7231, + "step": 4777 + }, + { + "epoch": 0.76, + "learning_rate": 2.96616830964937e-06, + "loss": 0.7332, + "step": 4778 + }, + { + "epoch": 0.76, + "learning_rate": 2.9625269591104744e-06, + "loss": 0.7231, + "step": 4779 + }, + { + "epoch": 0.76, + "learning_rate": 2.9588874563668347e-06, + "loss": 0.7435, + "step": 4780 + }, + { + "epoch": 0.76, + "learning_rate": 2.9552498023740583e-06, + "loss": 0.286, + "step": 4781 + }, + { + "epoch": 0.76, + "learning_rate": 2.951613998087266e-06, + "loss": 0.7234, + "step": 4782 + }, + { + "epoch": 0.76, + "learning_rate": 2.947980044461093e-06, + "loss": 0.6553, + "step": 4783 + }, + { + "epoch": 0.76, + "learning_rate": 2.944347942449689e-06, + "loss": 0.7174, + "step": 4784 + }, + { + "epoch": 0.76, + "learning_rate": 2.940717693006717e-06, + "loss": 0.6689, + "step": 4785 + }, + { + "epoch": 0.76, + "learning_rate": 2.937089297085355e-06, + "loss": 0.7275, + "step": 4786 + }, + { + "epoch": 0.76, + "learning_rate": 2.933462755638293e-06, + "loss": 0.691, + "step": 4787 + }, + { + "epoch": 0.76, + "learning_rate": 2.9298380696177354e-06, + "loss": 0.7109, + "step": 4788 + }, + { + "epoch": 0.76, + "learning_rate": 2.926215239975396e-06, + "loss": 0.7125, + "step": 4789 + }, + { + "epoch": 0.76, + "learning_rate": 2.9225942676625062e-06, + "loss": 0.6318, + "step": 4790 + }, + { + "epoch": 0.76, + "learning_rate": 2.9189751536298028e-06, + "loss": 0.708, + "step": 4791 + }, + { + "epoch": 0.76, + "learning_rate": 2.9153578988275453e-06, + "loss": 0.6455, + "step": 4792 + }, + { + "epoch": 0.76, + "learning_rate": 2.9117425042054957e-06, + "loss": 0.7183, + "step": 4793 + }, + { + "epoch": 0.76, + "learning_rate": 2.908128970712931e-06, + "loss": 0.7417, + "step": 4794 + }, + { + "epoch": 0.76, + "learning_rate": 2.9045172992986427e-06, + "loss": 0.7712, + "step": 4795 + }, + { + "epoch": 0.76, + "learning_rate": 2.9009074909109237e-06, + "loss": 0.6771, + "step": 4796 + }, + { + "epoch": 0.76, + "learning_rate": 2.897299546497582e-06, + "loss": 0.7156, + "step": 4797 + }, + { + "epoch": 0.76, + "learning_rate": 2.893693467005947e-06, + "loss": 0.6401, + "step": 4798 + }, + { + "epoch": 0.76, + "learning_rate": 2.890089253382844e-06, + "loss": 0.7463, + "step": 4799 + }, + { + "epoch": 0.76, + "learning_rate": 2.886486906574616e-06, + "loss": 0.2861, + "step": 4800 + }, + { + "epoch": 0.76, + "learning_rate": 2.882886427527113e-06, + "loss": 0.7798, + "step": 4801 + }, + { + "epoch": 0.76, + "learning_rate": 2.879287817185694e-06, + "loss": 0.7151, + "step": 4802 + }, + { + "epoch": 0.76, + "learning_rate": 2.875691076495232e-06, + "loss": 0.6609, + "step": 4803 + }, + { + "epoch": 0.76, + "learning_rate": 2.872096206400099e-06, + "loss": 0.7245, + "step": 4804 + }, + { + "epoch": 0.76, + "learning_rate": 2.868503207844191e-06, + "loss": 0.7604, + "step": 4805 + }, + { + "epoch": 0.76, + "learning_rate": 2.864912081770904e-06, + "loss": 0.7134, + "step": 4806 + }, + { + "epoch": 0.76, + "learning_rate": 2.8613228291231367e-06, + "loss": 0.6991, + "step": 4807 + }, + { + "epoch": 0.76, + "learning_rate": 2.857735450843303e-06, + "loss": 0.7417, + "step": 4808 + }, + { + "epoch": 0.76, + "learning_rate": 2.854149947873326e-06, + "loss": 0.7047, + "step": 4809 + }, + { + "epoch": 0.76, + "learning_rate": 2.8505663211546297e-06, + "loss": 0.7668, + "step": 4810 + }, + { + "epoch": 0.76, + "learning_rate": 2.846984571628155e-06, + "loss": 0.7158, + "step": 4811 + }, + { + "epoch": 0.76, + "learning_rate": 2.8434047002343425e-06, + "loss": 0.7231, + "step": 4812 + }, + { + "epoch": 0.76, + "learning_rate": 2.8398267079131412e-06, + "loss": 0.7262, + "step": 4813 + }, + { + "epoch": 0.76, + "learning_rate": 2.836250595604009e-06, + "loss": 0.7198, + "step": 4814 + }, + { + "epoch": 0.76, + "learning_rate": 2.8326763642459053e-06, + "loss": 0.7096, + "step": 4815 + }, + { + "epoch": 0.76, + "learning_rate": 2.8291040147773006e-06, + "loss": 0.2725, + "step": 4816 + }, + { + "epoch": 0.76, + "learning_rate": 2.825533548136169e-06, + "loss": 0.8069, + "step": 4817 + }, + { + "epoch": 0.76, + "learning_rate": 2.8219649652599914e-06, + "loss": 0.7488, + "step": 4818 + }, + { + "epoch": 0.76, + "learning_rate": 2.8183982670857525e-06, + "loss": 0.7681, + "step": 4819 + }, + { + "epoch": 0.76, + "learning_rate": 2.8148334545499435e-06, + "loss": 0.7032, + "step": 4820 + }, + { + "epoch": 0.76, + "learning_rate": 2.811270528588559e-06, + "loss": 0.7461, + "step": 4821 + }, + { + "epoch": 0.76, + "learning_rate": 2.8077094901371005e-06, + "loss": 0.7876, + "step": 4822 + }, + { + "epoch": 0.76, + "learning_rate": 2.8041503401305714e-06, + "loss": 0.7418, + "step": 4823 + }, + { + "epoch": 0.76, + "learning_rate": 2.8005930795034784e-06, + "loss": 0.7289, + "step": 4824 + }, + { + "epoch": 0.76, + "learning_rate": 2.7970377091898404e-06, + "loss": 0.723, + "step": 4825 + }, + { + "epoch": 0.76, + "learning_rate": 2.7934842301231702e-06, + "loss": 0.7, + "step": 4826 + }, + { + "epoch": 0.76, + "learning_rate": 2.7899326432364883e-06, + "loss": 0.7261, + "step": 4827 + }, + { + "epoch": 0.76, + "learning_rate": 2.786382949462316e-06, + "loss": 0.6639, + "step": 4828 + }, + { + "epoch": 0.76, + "learning_rate": 2.782835149732682e-06, + "loss": 0.7922, + "step": 4829 + }, + { + "epoch": 0.76, + "learning_rate": 2.779289244979112e-06, + "loss": 0.6709, + "step": 4830 + }, + { + "epoch": 0.76, + "learning_rate": 2.77574523613264e-06, + "loss": 0.2607, + "step": 4831 + }, + { + "epoch": 0.76, + "learning_rate": 2.7722031241237958e-06, + "loss": 0.7942, + "step": 4832 + }, + { + "epoch": 0.76, + "learning_rate": 2.768662909882618e-06, + "loss": 0.821, + "step": 4833 + }, + { + "epoch": 0.76, + "learning_rate": 2.765124594338641e-06, + "loss": 0.6953, + "step": 4834 + }, + { + "epoch": 0.76, + "learning_rate": 2.7615881784209043e-06, + "loss": 0.6866, + "step": 4835 + }, + { + "epoch": 0.77, + "learning_rate": 2.758053663057948e-06, + "loss": 0.7539, + "step": 4836 + }, + { + "epoch": 0.77, + "learning_rate": 2.754521049177811e-06, + "loss": 0.2911, + "step": 4837 + }, + { + "epoch": 0.77, + "learning_rate": 2.750990337708034e-06, + "loss": 0.73, + "step": 4838 + }, + { + "epoch": 0.77, + "learning_rate": 2.7474615295756623e-06, + "loss": 0.6654, + "step": 4839 + }, + { + "epoch": 0.77, + "learning_rate": 2.7439346257072376e-06, + "loss": 0.712, + "step": 4840 + }, + { + "epoch": 0.77, + "learning_rate": 2.7404096270288007e-06, + "loss": 0.7113, + "step": 4841 + }, + { + "epoch": 0.77, + "learning_rate": 2.7368865344658957e-06, + "loss": 0.6992, + "step": 4842 + }, + { + "epoch": 0.77, + "learning_rate": 2.7333653489435587e-06, + "loss": 0.7004, + "step": 4843 + }, + { + "epoch": 0.77, + "learning_rate": 2.7298460713863305e-06, + "loss": 0.6888, + "step": 4844 + }, + { + "epoch": 0.77, + "learning_rate": 2.726328702718256e-06, + "loss": 0.3039, + "step": 4845 + }, + { + "epoch": 0.77, + "learning_rate": 2.722813243862872e-06, + "loss": 0.7527, + "step": 4846 + }, + { + "epoch": 0.77, + "learning_rate": 2.719299695743215e-06, + "loss": 0.6914, + "step": 4847 + }, + { + "epoch": 0.77, + "learning_rate": 2.7157880592818196e-06, + "loss": 0.7207, + "step": 4848 + }, + { + "epoch": 0.77, + "learning_rate": 2.71227833540072e-06, + "loss": 0.6738, + "step": 4849 + }, + { + "epoch": 0.77, + "learning_rate": 2.708770525021448e-06, + "loss": 0.7114, + "step": 4850 + }, + { + "epoch": 0.77, + "learning_rate": 2.7052646290650276e-06, + "loss": 0.6738, + "step": 4851 + }, + { + "epoch": 0.77, + "learning_rate": 2.701760648451992e-06, + "loss": 0.7595, + "step": 4852 + }, + { + "epoch": 0.77, + "learning_rate": 2.698258584102361e-06, + "loss": 0.6993, + "step": 4853 + }, + { + "epoch": 0.77, + "learning_rate": 2.6947584369356593e-06, + "loss": 0.7183, + "step": 4854 + }, + { + "epoch": 0.77, + "learning_rate": 2.691260207870896e-06, + "loss": 0.7703, + "step": 4855 + }, + { + "epoch": 0.77, + "learning_rate": 2.6877638978265874e-06, + "loss": 0.7129, + "step": 4856 + }, + { + "epoch": 0.77, + "learning_rate": 2.6842695077207394e-06, + "loss": 0.6968, + "step": 4857 + }, + { + "epoch": 0.77, + "learning_rate": 2.680777038470864e-06, + "loss": 0.7025, + "step": 4858 + }, + { + "epoch": 0.77, + "learning_rate": 2.677286490993959e-06, + "loss": 0.2761, + "step": 4859 + }, + { + "epoch": 0.77, + "learning_rate": 2.673797866206519e-06, + "loss": 0.7471, + "step": 4860 + }, + { + "epoch": 0.77, + "learning_rate": 2.670311165024537e-06, + "loss": 0.7117, + "step": 4861 + }, + { + "epoch": 0.77, + "learning_rate": 2.666826388363499e-06, + "loss": 0.7368, + "step": 4862 + }, + { + "epoch": 0.77, + "learning_rate": 2.6633435371383855e-06, + "loss": 0.7119, + "step": 4863 + }, + { + "epoch": 0.77, + "learning_rate": 2.659862612263673e-06, + "loss": 0.7028, + "step": 4864 + }, + { + "epoch": 0.77, + "learning_rate": 2.6563836146533285e-06, + "loss": 0.7153, + "step": 4865 + }, + { + "epoch": 0.77, + "learning_rate": 2.652906545220818e-06, + "loss": 0.6931, + "step": 4866 + }, + { + "epoch": 0.77, + "learning_rate": 2.6494314048790982e-06, + "loss": 0.7039, + "step": 4867 + }, + { + "epoch": 0.77, + "learning_rate": 2.64595819454062e-06, + "loss": 0.7362, + "step": 4868 + }, + { + "epoch": 0.77, + "learning_rate": 2.642486915117327e-06, + "loss": 0.7408, + "step": 4869 + }, + { + "epoch": 0.77, + "learning_rate": 2.6390175675206563e-06, + "loss": 0.7311, + "step": 4870 + }, + { + "epoch": 0.77, + "learning_rate": 2.6355501526615347e-06, + "loss": 0.7493, + "step": 4871 + }, + { + "epoch": 0.77, + "learning_rate": 2.6320846714503913e-06, + "loss": 0.7252, + "step": 4872 + }, + { + "epoch": 0.77, + "learning_rate": 2.628621124797136e-06, + "loss": 0.7358, + "step": 4873 + }, + { + "epoch": 0.77, + "learning_rate": 2.6251595136111773e-06, + "loss": 0.7291, + "step": 4874 + }, + { + "epoch": 0.77, + "learning_rate": 2.6216998388014125e-06, + "loss": 0.7083, + "step": 4875 + }, + { + "epoch": 0.77, + "learning_rate": 2.618242101276234e-06, + "loss": 0.7603, + "step": 4876 + }, + { + "epoch": 0.77, + "learning_rate": 2.6147863019435194e-06, + "loss": 0.7239, + "step": 4877 + }, + { + "epoch": 0.77, + "learning_rate": 2.6113324417106447e-06, + "loss": 0.7756, + "step": 4878 + }, + { + "epoch": 0.77, + "learning_rate": 2.6078805214844707e-06, + "loss": 0.7417, + "step": 4879 + }, + { + "epoch": 0.77, + "learning_rate": 2.6044305421713523e-06, + "loss": 0.6637, + "step": 4880 + }, + { + "epoch": 0.77, + "learning_rate": 2.6009825046771353e-06, + "loss": 0.7351, + "step": 4881 + }, + { + "epoch": 0.77, + "learning_rate": 2.597536409907152e-06, + "loss": 0.7407, + "step": 4882 + }, + { + "epoch": 0.77, + "learning_rate": 2.594092258766229e-06, + "loss": 0.6879, + "step": 4883 + }, + { + "epoch": 0.77, + "learning_rate": 2.5906500521586786e-06, + "loss": 0.7432, + "step": 4884 + }, + { + "epoch": 0.77, + "learning_rate": 2.587209790988302e-06, + "loss": 0.7023, + "step": 4885 + }, + { + "epoch": 0.77, + "learning_rate": 2.5837714761583977e-06, + "loss": 0.7351, + "step": 4886 + }, + { + "epoch": 0.77, + "learning_rate": 2.5803351085717455e-06, + "loss": 0.6978, + "step": 4887 + }, + { + "epoch": 0.77, + "learning_rate": 2.5769006891306134e-06, + "loss": 0.7163, + "step": 4888 + }, + { + "epoch": 0.77, + "learning_rate": 2.5734682187367667e-06, + "loss": 0.6617, + "step": 4889 + }, + { + "epoch": 0.77, + "learning_rate": 2.5700376982914434e-06, + "loss": 0.6567, + "step": 4890 + }, + { + "epoch": 0.77, + "learning_rate": 2.56660912869538e-06, + "loss": 0.702, + "step": 4891 + }, + { + "epoch": 0.77, + "learning_rate": 2.5631825108488064e-06, + "loss": 0.7373, + "step": 4892 + }, + { + "epoch": 0.77, + "learning_rate": 2.5597578456514284e-06, + "loss": 0.7423, + "step": 4893 + }, + { + "epoch": 0.77, + "learning_rate": 2.5563351340024443e-06, + "loss": 0.7205, + "step": 4894 + }, + { + "epoch": 0.77, + "learning_rate": 2.5529143768005395e-06, + "loss": 0.6814, + "step": 4895 + }, + { + "epoch": 0.77, + "learning_rate": 2.5494955749438845e-06, + "loss": 0.7158, + "step": 4896 + }, + { + "epoch": 0.77, + "learning_rate": 2.546078729330139e-06, + "loss": 0.7783, + "step": 4897 + }, + { + "epoch": 0.77, + "learning_rate": 2.5426638408564464e-06, + "loss": 0.7012, + "step": 4898 + }, + { + "epoch": 0.78, + "learning_rate": 2.5392509104194363e-06, + "loss": 0.7354, + "step": 4899 + }, + { + "epoch": 0.78, + "learning_rate": 2.535839938915229e-06, + "loss": 0.7649, + "step": 4900 + }, + { + "epoch": 0.78, + "learning_rate": 2.5324309272394276e-06, + "loss": 0.6534, + "step": 4901 + }, + { + "epoch": 0.78, + "learning_rate": 2.5290238762871146e-06, + "loss": 0.6803, + "step": 4902 + }, + { + "epoch": 0.78, + "learning_rate": 2.525618786952865e-06, + "loss": 0.2552, + "step": 4903 + }, + { + "epoch": 0.78, + "learning_rate": 2.522215660130737e-06, + "loss": 0.7222, + "step": 4904 + }, + { + "epoch": 0.78, + "learning_rate": 2.5188144967142703e-06, + "loss": 0.6894, + "step": 4905 + }, + { + "epoch": 0.78, + "learning_rate": 2.5154152975964975e-06, + "loss": 0.709, + "step": 4906 + }, + { + "epoch": 0.78, + "learning_rate": 2.5120180636699275e-06, + "loss": 0.7246, + "step": 4907 + }, + { + "epoch": 0.78, + "learning_rate": 2.508622795826554e-06, + "loss": 0.6979, + "step": 4908 + }, + { + "epoch": 0.78, + "learning_rate": 2.505229494957858e-06, + "loss": 0.7773, + "step": 4909 + }, + { + "epoch": 0.78, + "learning_rate": 2.5018381619548015e-06, + "loss": 0.7123, + "step": 4910 + }, + { + "epoch": 0.78, + "learning_rate": 2.498448797707831e-06, + "loss": 0.7249, + "step": 4911 + }, + { + "epoch": 0.78, + "learning_rate": 2.495061403106871e-06, + "loss": 0.769, + "step": 4912 + }, + { + "epoch": 0.78, + "learning_rate": 2.4916759790413424e-06, + "loss": 0.7197, + "step": 4913 + }, + { + "epoch": 0.78, + "learning_rate": 2.488292526400132e-06, + "loss": 0.6741, + "step": 4914 + }, + { + "epoch": 0.78, + "learning_rate": 2.4849110460716185e-06, + "loss": 0.7291, + "step": 4915 + }, + { + "epoch": 0.78, + "learning_rate": 2.4815315389436613e-06, + "loss": 0.7617, + "step": 4916 + }, + { + "epoch": 0.78, + "learning_rate": 2.4781540059036014e-06, + "loss": 0.7734, + "step": 4917 + }, + { + "epoch": 0.78, + "learning_rate": 2.4747784478382575e-06, + "loss": 0.7004, + "step": 4918 + }, + { + "epoch": 0.78, + "learning_rate": 2.4714048656339406e-06, + "loss": 0.2717, + "step": 4919 + }, + { + "epoch": 0.78, + "learning_rate": 2.4680332601764313e-06, + "loss": 0.6902, + "step": 4920 + }, + { + "epoch": 0.78, + "learning_rate": 2.4646636323509974e-06, + "loss": 0.6963, + "step": 4921 + }, + { + "epoch": 0.78, + "learning_rate": 2.4612959830423855e-06, + "loss": 0.7532, + "step": 4922 + }, + { + "epoch": 0.78, + "learning_rate": 2.457930313134823e-06, + "loss": 0.6809, + "step": 4923 + }, + { + "epoch": 0.78, + "learning_rate": 2.4545666235120157e-06, + "loss": 0.2554, + "step": 4924 + }, + { + "epoch": 0.78, + "learning_rate": 2.451204915057155e-06, + "loss": 0.6755, + "step": 4925 + }, + { + "epoch": 0.78, + "learning_rate": 2.447845188652904e-06, + "loss": 0.6894, + "step": 4926 + }, + { + "epoch": 0.78, + "learning_rate": 2.444487445181414e-06, + "loss": 0.6927, + "step": 4927 + }, + { + "epoch": 0.78, + "learning_rate": 2.441131685524308e-06, + "loss": 0.6829, + "step": 4928 + }, + { + "epoch": 0.78, + "learning_rate": 2.437777910562694e-06, + "loss": 0.6609, + "step": 4929 + }, + { + "epoch": 0.78, + "learning_rate": 2.434426121177156e-06, + "loss": 0.6766, + "step": 4930 + }, + { + "epoch": 0.78, + "learning_rate": 2.431076318247756e-06, + "loss": 0.7163, + "step": 4931 + }, + { + "epoch": 0.78, + "learning_rate": 2.427728502654033e-06, + "loss": 0.7402, + "step": 4932 + }, + { + "epoch": 0.78, + "learning_rate": 2.4243826752750134e-06, + "loss": 0.6345, + "step": 4933 + }, + { + "epoch": 0.78, + "learning_rate": 2.4210388369891914e-06, + "loss": 0.7054, + "step": 4934 + }, + { + "epoch": 0.78, + "learning_rate": 2.4176969886745426e-06, + "loss": 0.7283, + "step": 4935 + }, + { + "epoch": 0.78, + "learning_rate": 2.4143571312085223e-06, + "loss": 0.7546, + "step": 4936 + }, + { + "epoch": 0.78, + "learning_rate": 2.4110192654680566e-06, + "loss": 0.7097, + "step": 4937 + }, + { + "epoch": 0.78, + "learning_rate": 2.4076833923295506e-06, + "loss": 0.7197, + "step": 4938 + }, + { + "epoch": 0.78, + "learning_rate": 2.404349512668895e-06, + "loss": 0.6556, + "step": 4939 + }, + { + "epoch": 0.78, + "learning_rate": 2.401017627361448e-06, + "loss": 0.6821, + "step": 4940 + }, + { + "epoch": 0.78, + "learning_rate": 2.3976877372820474e-06, + "loss": 0.7308, + "step": 4941 + }, + { + "epoch": 0.78, + "learning_rate": 2.3943598433050043e-06, + "loss": 0.652, + "step": 4942 + }, + { + "epoch": 0.78, + "learning_rate": 2.3910339463041087e-06, + "loss": 0.7146, + "step": 4943 + }, + { + "epoch": 0.78, + "learning_rate": 2.387710047152626e-06, + "loss": 0.7468, + "step": 4944 + }, + { + "epoch": 0.78, + "learning_rate": 2.3843881467232945e-06, + "loss": 0.6938, + "step": 4945 + }, + { + "epoch": 0.78, + "learning_rate": 2.381068245888328e-06, + "loss": 0.6995, + "step": 4946 + }, + { + "epoch": 0.78, + "learning_rate": 2.3777503455194227e-06, + "loss": 0.7939, + "step": 4947 + }, + { + "epoch": 0.78, + "learning_rate": 2.3744344464877435e-06, + "loss": 0.749, + "step": 4948 + }, + { + "epoch": 0.78, + "learning_rate": 2.3711205496639234e-06, + "loss": 0.7053, + "step": 4949 + }, + { + "epoch": 0.78, + "learning_rate": 2.36780865591808e-06, + "loss": 0.7627, + "step": 4950 + }, + { + "epoch": 0.78, + "learning_rate": 2.3644987661198005e-06, + "loss": 0.769, + "step": 4951 + }, + { + "epoch": 0.78, + "learning_rate": 2.3611908811381445e-06, + "loss": 0.6788, + "step": 4952 + }, + { + "epoch": 0.78, + "learning_rate": 2.3578850018416535e-06, + "loss": 0.7515, + "step": 4953 + }, + { + "epoch": 0.78, + "learning_rate": 2.3545811290983324e-06, + "loss": 0.2595, + "step": 4954 + }, + { + "epoch": 0.78, + "learning_rate": 2.351279263775662e-06, + "loss": 0.7207, + "step": 4955 + }, + { + "epoch": 0.78, + "learning_rate": 2.3479794067406e-06, + "loss": 0.719, + "step": 4956 + }, + { + "epoch": 0.78, + "learning_rate": 2.3446815588595716e-06, + "loss": 0.7047, + "step": 4957 + }, + { + "epoch": 0.78, + "learning_rate": 2.3413857209984782e-06, + "loss": 0.6741, + "step": 4958 + }, + { + "epoch": 0.78, + "learning_rate": 2.3380918940226883e-06, + "loss": 0.6737, + "step": 4959 + }, + { + "epoch": 0.78, + "learning_rate": 2.3348000787970548e-06, + "loss": 0.6759, + "step": 4960 + }, + { + "epoch": 0.78, + "learning_rate": 2.3315102761858852e-06, + "loss": 0.7739, + "step": 4961 + }, + { + "epoch": 0.79, + "learning_rate": 2.328222487052969e-06, + "loss": 0.731, + "step": 4962 + }, + { + "epoch": 0.79, + "learning_rate": 2.3249367122615673e-06, + "loss": 0.7549, + "step": 4963 + }, + { + "epoch": 0.79, + "learning_rate": 2.3216529526744082e-06, + "loss": 0.6543, + "step": 4964 + }, + { + "epoch": 0.79, + "learning_rate": 2.3183712091536905e-06, + "loss": 0.7314, + "step": 4965 + }, + { + "epoch": 0.79, + "learning_rate": 2.3150914825610914e-06, + "loss": 0.683, + "step": 4966 + }, + { + "epoch": 0.79, + "learning_rate": 2.3118137737577497e-06, + "loss": 0.6989, + "step": 4967 + }, + { + "epoch": 0.79, + "learning_rate": 2.308538083604278e-06, + "loss": 0.7146, + "step": 4968 + }, + { + "epoch": 0.79, + "learning_rate": 2.3052644129607584e-06, + "loss": 0.7136, + "step": 4969 + }, + { + "epoch": 0.79, + "learning_rate": 2.3019927626867412e-06, + "loss": 0.7539, + "step": 4970 + }, + { + "epoch": 0.79, + "learning_rate": 2.2987231336412497e-06, + "loss": 0.7335, + "step": 4971 + }, + { + "epoch": 0.79, + "learning_rate": 2.295455526682774e-06, + "loss": 0.2838, + "step": 4972 + }, + { + "epoch": 0.79, + "learning_rate": 2.292189942669274e-06, + "loss": 0.6912, + "step": 4973 + }, + { + "epoch": 0.79, + "learning_rate": 2.2889263824581775e-06, + "loss": 0.6642, + "step": 4974 + }, + { + "epoch": 0.79, + "learning_rate": 2.2856648469063834e-06, + "loss": 0.7018, + "step": 4975 + }, + { + "epoch": 0.79, + "learning_rate": 2.2824053368702546e-06, + "loss": 0.7452, + "step": 4976 + }, + { + "epoch": 0.79, + "learning_rate": 2.2791478532056276e-06, + "loss": 0.7341, + "step": 4977 + }, + { + "epoch": 0.79, + "learning_rate": 2.2758923967678036e-06, + "loss": 0.7067, + "step": 4978 + }, + { + "epoch": 0.79, + "learning_rate": 2.272638968411548e-06, + "loss": 0.78, + "step": 4979 + }, + { + "epoch": 0.79, + "learning_rate": 2.269387568991104e-06, + "loss": 0.7368, + "step": 4980 + }, + { + "epoch": 0.79, + "learning_rate": 2.266138199360174e-06, + "loss": 0.7059, + "step": 4981 + }, + { + "epoch": 0.79, + "learning_rate": 2.262890860371927e-06, + "loss": 0.72, + "step": 4982 + }, + { + "epoch": 0.79, + "learning_rate": 2.259645552879005e-06, + "loss": 0.7485, + "step": 4983 + }, + { + "epoch": 0.79, + "learning_rate": 2.2564022777335083e-06, + "loss": 0.6895, + "step": 4984 + }, + { + "epoch": 0.79, + "learning_rate": 2.253161035787007e-06, + "loss": 0.7239, + "step": 4985 + }, + { + "epoch": 0.79, + "learning_rate": 2.2499218278905433e-06, + "loss": 0.7214, + "step": 4986 + }, + { + "epoch": 0.79, + "learning_rate": 2.2466846548946185e-06, + "loss": 0.7214, + "step": 4987 + }, + { + "epoch": 0.79, + "learning_rate": 2.243449517649201e-06, + "loss": 0.714, + "step": 4988 + }, + { + "epoch": 0.79, + "learning_rate": 2.2402164170037256e-06, + "loss": 0.688, + "step": 4989 + }, + { + "epoch": 0.79, + "learning_rate": 2.236985353807092e-06, + "loss": 0.6604, + "step": 4990 + }, + { + "epoch": 0.79, + "learning_rate": 2.2337563289076637e-06, + "loss": 0.7301, + "step": 4991 + }, + { + "epoch": 0.79, + "learning_rate": 2.2305293431532705e-06, + "loss": 0.7338, + "step": 4992 + }, + { + "epoch": 0.79, + "learning_rate": 2.2273043973912047e-06, + "loss": 0.7057, + "step": 4993 + }, + { + "epoch": 0.79, + "learning_rate": 2.2240814924682286e-06, + "loss": 0.634, + "step": 4994 + }, + { + "epoch": 0.79, + "learning_rate": 2.2208606292305658e-06, + "loss": 0.7502, + "step": 4995 + }, + { + "epoch": 0.79, + "learning_rate": 2.217641808523898e-06, + "loss": 0.7083, + "step": 4996 + }, + { + "epoch": 0.79, + "learning_rate": 2.214425031193377e-06, + "loss": 0.2921, + "step": 4997 + }, + { + "epoch": 0.79, + "learning_rate": 2.2112102980836157e-06, + "loss": 0.729, + "step": 4998 + }, + { + "epoch": 0.79, + "learning_rate": 2.2079976100386915e-06, + "loss": 0.7015, + "step": 4999 + }, + { + "epoch": 0.79, + "learning_rate": 2.204786967902146e-06, + "loss": 0.6909, + "step": 5000 + }, + { + "epoch": 0.79, + "learning_rate": 2.2015783725169816e-06, + "loss": 0.634, + "step": 5001 + }, + { + "epoch": 0.79, + "learning_rate": 2.1983718247256623e-06, + "loss": 0.75, + "step": 5002 + }, + { + "epoch": 0.79, + "learning_rate": 2.1951673253701167e-06, + "loss": 0.7401, + "step": 5003 + }, + { + "epoch": 0.79, + "learning_rate": 2.1919648752917356e-06, + "loss": 0.2781, + "step": 5004 + }, + { + "epoch": 0.79, + "learning_rate": 2.1887644753313687e-06, + "loss": 0.265, + "step": 5005 + }, + { + "epoch": 0.79, + "learning_rate": 2.185566126329328e-06, + "loss": 0.7915, + "step": 5006 + }, + { + "epoch": 0.79, + "learning_rate": 2.182369829125397e-06, + "loss": 0.7266, + "step": 5007 + }, + { + "epoch": 0.79, + "learning_rate": 2.1791755845588035e-06, + "loss": 0.6829, + "step": 5008 + }, + { + "epoch": 0.79, + "learning_rate": 2.175983393468246e-06, + "loss": 0.701, + "step": 5009 + }, + { + "epoch": 0.79, + "learning_rate": 2.1727932566918864e-06, + "loss": 0.6627, + "step": 5010 + }, + { + "epoch": 0.79, + "learning_rate": 2.1696051750673397e-06, + "loss": 0.7418, + "step": 5011 + }, + { + "epoch": 0.79, + "learning_rate": 2.1664191494316844e-06, + "loss": 0.6802, + "step": 5012 + }, + { + "epoch": 0.79, + "learning_rate": 2.1632351806214647e-06, + "loss": 0.6735, + "step": 5013 + }, + { + "epoch": 0.79, + "learning_rate": 2.160053269472677e-06, + "loss": 0.7603, + "step": 5014 + }, + { + "epoch": 0.79, + "learning_rate": 2.1568734168207806e-06, + "loss": 0.6917, + "step": 5015 + }, + { + "epoch": 0.79, + "learning_rate": 2.1536956235006936e-06, + "loss": 0.7561, + "step": 5016 + }, + { + "epoch": 0.79, + "learning_rate": 2.150519890346795e-06, + "loss": 0.7196, + "step": 5017 + }, + { + "epoch": 0.79, + "learning_rate": 2.1473462181929206e-06, + "loss": 0.6947, + "step": 5018 + }, + { + "epoch": 0.79, + "learning_rate": 2.1441746078723656e-06, + "loss": 0.7095, + "step": 5019 + }, + { + "epoch": 0.79, + "learning_rate": 2.1410050602178866e-06, + "loss": 0.697, + "step": 5020 + }, + { + "epoch": 0.79, + "learning_rate": 2.137837576061694e-06, + "loss": 0.7544, + "step": 5021 + }, + { + "epoch": 0.79, + "learning_rate": 2.1346721562354598e-06, + "loss": 0.7209, + "step": 5022 + }, + { + "epoch": 0.79, + "learning_rate": 2.1315088015703135e-06, + "loss": 0.7549, + "step": 5023 + }, + { + "epoch": 0.79, + "learning_rate": 2.128347512896841e-06, + "loss": 0.708, + "step": 5024 + }, + { + "epoch": 0.79, + "learning_rate": 2.125188291045087e-06, + "loss": 0.6688, + "step": 5025 + }, + { + "epoch": 0.8, + "learning_rate": 2.122031136844551e-06, + "loss": 0.2545, + "step": 5026 + }, + { + "epoch": 0.8, + "learning_rate": 2.1188760511241956e-06, + "loss": 0.7537, + "step": 5027 + }, + { + "epoch": 0.8, + "learning_rate": 2.1157230347124346e-06, + "loss": 0.7222, + "step": 5028 + }, + { + "epoch": 0.8, + "learning_rate": 2.1125720884371404e-06, + "loss": 0.7267, + "step": 5029 + }, + { + "epoch": 0.8, + "learning_rate": 2.1094232131256433e-06, + "loss": 0.7417, + "step": 5030 + }, + { + "epoch": 0.8, + "learning_rate": 2.106276409604725e-06, + "loss": 0.7024, + "step": 5031 + }, + { + "epoch": 0.8, + "learning_rate": 2.103131678700624e-06, + "loss": 0.2771, + "step": 5032 + }, + { + "epoch": 0.8, + "learning_rate": 2.099989021239045e-06, + "loss": 0.7715, + "step": 5033 + }, + { + "epoch": 0.8, + "learning_rate": 2.0968484380451347e-06, + "loss": 0.7007, + "step": 5034 + }, + { + "epoch": 0.8, + "learning_rate": 2.093709929943504e-06, + "loss": 0.7139, + "step": 5035 + }, + { + "epoch": 0.8, + "learning_rate": 2.0905734977582138e-06, + "loss": 0.6984, + "step": 5036 + }, + { + "epoch": 0.8, + "learning_rate": 2.0874391423127826e-06, + "loss": 0.7141, + "step": 5037 + }, + { + "epoch": 0.8, + "learning_rate": 2.0843068644301822e-06, + "loss": 0.2756, + "step": 5038 + }, + { + "epoch": 0.8, + "learning_rate": 2.08117666493284e-06, + "loss": 0.6868, + "step": 5039 + }, + { + "epoch": 0.8, + "learning_rate": 2.0780485446426356e-06, + "loss": 0.7277, + "step": 5040 + }, + { + "epoch": 0.8, + "learning_rate": 2.0749225043809096e-06, + "loss": 0.7323, + "step": 5041 + }, + { + "epoch": 0.8, + "learning_rate": 2.0717985449684496e-06, + "loss": 0.2731, + "step": 5042 + }, + { + "epoch": 0.8, + "learning_rate": 2.0686766672254954e-06, + "loss": 0.6829, + "step": 5043 + }, + { + "epoch": 0.8, + "learning_rate": 2.0655568719717447e-06, + "loss": 0.7158, + "step": 5044 + }, + { + "epoch": 0.8, + "learning_rate": 2.0624391600263462e-06, + "loss": 0.7213, + "step": 5045 + }, + { + "epoch": 0.8, + "learning_rate": 2.059323532207901e-06, + "loss": 0.7036, + "step": 5046 + }, + { + "epoch": 0.8, + "learning_rate": 2.05620998933447e-06, + "loss": 0.7471, + "step": 5047 + }, + { + "epoch": 0.8, + "learning_rate": 2.0530985322235587e-06, + "loss": 0.7527, + "step": 5048 + }, + { + "epoch": 0.8, + "learning_rate": 2.0499891616921253e-06, + "loss": 0.663, + "step": 5049 + }, + { + "epoch": 0.8, + "learning_rate": 2.046881878556585e-06, + "loss": 0.7004, + "step": 5050 + }, + { + "epoch": 0.8, + "learning_rate": 2.0437766836327997e-06, + "loss": 0.7115, + "step": 5051 + }, + { + "epoch": 0.8, + "learning_rate": 2.0406735777360864e-06, + "loss": 0.6968, + "step": 5052 + }, + { + "epoch": 0.8, + "learning_rate": 2.0375725616812124e-06, + "loss": 0.7218, + "step": 5053 + }, + { + "epoch": 0.8, + "learning_rate": 2.034473636282397e-06, + "loss": 0.7173, + "step": 5054 + }, + { + "epoch": 0.8, + "learning_rate": 2.03137680235331e-06, + "loss": 0.7229, + "step": 5055 + }, + { + "epoch": 0.8, + "learning_rate": 2.028282060707072e-06, + "loss": 0.6915, + "step": 5056 + }, + { + "epoch": 0.8, + "learning_rate": 2.0251894121562533e-06, + "loss": 0.7144, + "step": 5057 + }, + { + "epoch": 0.8, + "learning_rate": 2.0220988575128764e-06, + "loss": 0.7477, + "step": 5058 + }, + { + "epoch": 0.8, + "learning_rate": 2.0190103975884147e-06, + "loss": 0.6644, + "step": 5059 + }, + { + "epoch": 0.8, + "learning_rate": 2.0159240331937845e-06, + "loss": 0.7253, + "step": 5060 + }, + { + "epoch": 0.8, + "learning_rate": 2.012839765139366e-06, + "loss": 0.7881, + "step": 5061 + }, + { + "epoch": 0.8, + "learning_rate": 2.0097575942349758e-06, + "loss": 0.6908, + "step": 5062 + }, + { + "epoch": 0.8, + "learning_rate": 2.006677521289886e-06, + "loss": 0.7016, + "step": 5063 + }, + { + "epoch": 0.8, + "learning_rate": 2.0035995471128145e-06, + "loss": 0.7832, + "step": 5064 + }, + { + "epoch": 0.8, + "learning_rate": 2.0005236725119324e-06, + "loss": 0.7795, + "step": 5065 + }, + { + "epoch": 0.8, + "learning_rate": 1.9974498982948565e-06, + "loss": 0.7288, + "step": 5066 + }, + { + "epoch": 0.8, + "learning_rate": 1.9943782252686518e-06, + "loss": 0.7518, + "step": 5067 + }, + { + "epoch": 0.8, + "learning_rate": 1.991308654239833e-06, + "loss": 0.73, + "step": 5068 + }, + { + "epoch": 0.8, + "learning_rate": 1.9882411860143635e-06, + "loss": 0.6582, + "step": 5069 + }, + { + "epoch": 0.8, + "learning_rate": 1.9851758213976522e-06, + "loss": 0.7139, + "step": 5070 + }, + { + "epoch": 0.8, + "learning_rate": 1.982112561194559e-06, + "loss": 0.7283, + "step": 5071 + }, + { + "epoch": 0.8, + "learning_rate": 1.979051406209387e-06, + "loss": 0.6259, + "step": 5072 + }, + { + "epoch": 0.8, + "learning_rate": 1.9759923572458885e-06, + "loss": 0.7515, + "step": 5073 + }, + { + "epoch": 0.8, + "learning_rate": 1.9729354151072666e-06, + "loss": 0.7123, + "step": 5074 + }, + { + "epoch": 0.8, + "learning_rate": 1.9698805805961653e-06, + "loss": 0.6938, + "step": 5075 + }, + { + "epoch": 0.8, + "learning_rate": 1.9668278545146792e-06, + "loss": 0.7277, + "step": 5076 + }, + { + "epoch": 0.8, + "learning_rate": 1.9637772376643462e-06, + "loss": 0.7018, + "step": 5077 + }, + { + "epoch": 0.8, + "learning_rate": 1.9607287308461554e-06, + "loss": 0.7302, + "step": 5078 + }, + { + "epoch": 0.8, + "learning_rate": 1.9576823348605313e-06, + "loss": 0.7288, + "step": 5079 + }, + { + "epoch": 0.8, + "learning_rate": 1.954638050507358e-06, + "loss": 0.6835, + "step": 5080 + }, + { + "epoch": 0.8, + "learning_rate": 1.951595878585957e-06, + "loss": 0.7126, + "step": 5081 + }, + { + "epoch": 0.8, + "learning_rate": 1.948555819895095e-06, + "loss": 0.6793, + "step": 5082 + }, + { + "epoch": 0.8, + "learning_rate": 1.9455178752329874e-06, + "loss": 0.7437, + "step": 5083 + }, + { + "epoch": 0.8, + "learning_rate": 1.9424820453972915e-06, + "loss": 0.7024, + "step": 5084 + }, + { + "epoch": 0.8, + "learning_rate": 1.9394483311851107e-06, + "loss": 0.7583, + "step": 5085 + }, + { + "epoch": 0.8, + "learning_rate": 1.936416733392993e-06, + "loss": 0.6509, + "step": 5086 + }, + { + "epoch": 0.8, + "learning_rate": 1.933387252816927e-06, + "loss": 0.7134, + "step": 5087 + }, + { + "epoch": 0.8, + "learning_rate": 1.9303598902523546e-06, + "loss": 0.7133, + "step": 5088 + }, + { + "epoch": 0.81, + "learning_rate": 1.9273346464941555e-06, + "loss": 0.6792, + "step": 5089 + }, + { + "epoch": 0.81, + "learning_rate": 1.924311522336648e-06, + "loss": 0.7178, + "step": 5090 + }, + { + "epoch": 0.81, + "learning_rate": 1.921290518573603e-06, + "loss": 0.717, + "step": 5091 + }, + { + "epoch": 0.81, + "learning_rate": 1.918271635998229e-06, + "loss": 0.749, + "step": 5092 + }, + { + "epoch": 0.81, + "learning_rate": 1.9152548754031784e-06, + "loss": 0.7163, + "step": 5093 + }, + { + "epoch": 0.81, + "learning_rate": 1.9122402375805516e-06, + "loss": 0.7253, + "step": 5094 + }, + { + "epoch": 0.81, + "learning_rate": 1.909227723321885e-06, + "loss": 0.7114, + "step": 5095 + }, + { + "epoch": 0.81, + "learning_rate": 1.90621733341816e-06, + "loss": 0.6833, + "step": 5096 + }, + { + "epoch": 0.81, + "learning_rate": 1.9032090686597992e-06, + "loss": 0.754, + "step": 5097 + }, + { + "epoch": 0.81, + "learning_rate": 1.900202929836671e-06, + "loss": 0.7197, + "step": 5098 + }, + { + "epoch": 0.81, + "learning_rate": 1.8971989177380802e-06, + "loss": 0.7017, + "step": 5099 + }, + { + "epoch": 0.81, + "learning_rate": 1.8941970331527759e-06, + "loss": 0.7327, + "step": 5100 + }, + { + "epoch": 0.81, + "learning_rate": 1.8911972768689491e-06, + "loss": 0.699, + "step": 5101 + }, + { + "epoch": 0.81, + "learning_rate": 1.8881996496742305e-06, + "loss": 0.686, + "step": 5102 + }, + { + "epoch": 0.81, + "learning_rate": 1.8852041523556941e-06, + "loss": 0.6648, + "step": 5103 + }, + { + "epoch": 0.81, + "learning_rate": 1.8822107856998517e-06, + "loss": 0.7172, + "step": 5104 + }, + { + "epoch": 0.81, + "learning_rate": 1.879219550492657e-06, + "loss": 0.7267, + "step": 5105 + }, + { + "epoch": 0.81, + "learning_rate": 1.8762304475195058e-06, + "loss": 0.7258, + "step": 5106 + }, + { + "epoch": 0.81, + "learning_rate": 1.8732434775652276e-06, + "loss": 0.724, + "step": 5107 + }, + { + "epoch": 0.81, + "learning_rate": 1.8702586414141044e-06, + "loss": 0.7114, + "step": 5108 + }, + { + "epoch": 0.81, + "learning_rate": 1.8672759398498453e-06, + "loss": 0.7397, + "step": 5109 + }, + { + "epoch": 0.81, + "learning_rate": 1.8642953736556047e-06, + "loss": 0.7452, + "step": 5110 + }, + { + "epoch": 0.81, + "learning_rate": 1.8613169436139755e-06, + "loss": 0.2838, + "step": 5111 + }, + { + "epoch": 0.81, + "learning_rate": 1.85834065050699e-06, + "loss": 0.7214, + "step": 5112 + }, + { + "epoch": 0.81, + "learning_rate": 1.8553664951161189e-06, + "loss": 0.6532, + "step": 5113 + }, + { + "epoch": 0.81, + "learning_rate": 1.8523944782222703e-06, + "loss": 0.6879, + "step": 5114 + }, + { + "epoch": 0.81, + "learning_rate": 1.8494246006057947e-06, + "loss": 0.7178, + "step": 5115 + }, + { + "epoch": 0.81, + "learning_rate": 1.8464568630464775e-06, + "loss": 0.2845, + "step": 5116 + }, + { + "epoch": 0.81, + "learning_rate": 1.8434912663235427e-06, + "loss": 0.6963, + "step": 5117 + }, + { + "epoch": 0.81, + "learning_rate": 1.8405278112156533e-06, + "loss": 0.6903, + "step": 5118 + }, + { + "epoch": 0.81, + "learning_rate": 1.837566498500909e-06, + "loss": 0.6987, + "step": 5119 + }, + { + "epoch": 0.81, + "learning_rate": 1.8346073289568456e-06, + "loss": 0.7542, + "step": 5120 + }, + { + "epoch": 0.81, + "learning_rate": 1.8316503033604415e-06, + "loss": 0.7412, + "step": 5121 + }, + { + "epoch": 0.81, + "learning_rate": 1.8286954224881081e-06, + "loss": 0.7065, + "step": 5122 + }, + { + "epoch": 0.81, + "learning_rate": 1.8257426871156925e-06, + "loss": 0.7003, + "step": 5123 + }, + { + "epoch": 0.81, + "learning_rate": 1.8227920980184798e-06, + "loss": 0.7502, + "step": 5124 + }, + { + "epoch": 0.81, + "learning_rate": 1.8198436559711963e-06, + "loss": 0.2913, + "step": 5125 + }, + { + "epoch": 0.81, + "learning_rate": 1.8168973617479913e-06, + "loss": 0.6927, + "step": 5126 + }, + { + "epoch": 0.81, + "learning_rate": 1.813953216122467e-06, + "loss": 0.75, + "step": 5127 + }, + { + "epoch": 0.81, + "learning_rate": 1.811011219867651e-06, + "loss": 0.7271, + "step": 5128 + }, + { + "epoch": 0.81, + "learning_rate": 1.8080713737560086e-06, + "loss": 0.7157, + "step": 5129 + }, + { + "epoch": 0.81, + "learning_rate": 1.805133678559442e-06, + "loss": 0.6769, + "step": 5130 + }, + { + "epoch": 0.81, + "learning_rate": 1.8021981350492857e-06, + "loss": 0.6727, + "step": 5131 + }, + { + "epoch": 0.81, + "learning_rate": 1.799264743996313e-06, + "loss": 0.7061, + "step": 5132 + }, + { + "epoch": 0.81, + "learning_rate": 1.79633350617073e-06, + "loss": 0.7136, + "step": 5133 + }, + { + "epoch": 0.81, + "learning_rate": 1.7934044223421742e-06, + "loss": 0.6896, + "step": 5134 + }, + { + "epoch": 0.81, + "learning_rate": 1.7904774932797263e-06, + "loss": 0.7307, + "step": 5135 + }, + { + "epoch": 0.81, + "learning_rate": 1.7875527197518937e-06, + "loss": 0.7495, + "step": 5136 + }, + { + "epoch": 0.81, + "learning_rate": 1.7846301025266222e-06, + "loss": 0.7615, + "step": 5137 + }, + { + "epoch": 0.81, + "learning_rate": 1.7817096423712842e-06, + "loss": 0.6827, + "step": 5138 + }, + { + "epoch": 0.81, + "learning_rate": 1.7787913400526945e-06, + "loss": 0.688, + "step": 5139 + }, + { + "epoch": 0.81, + "learning_rate": 1.7758751963370935e-06, + "loss": 0.6864, + "step": 5140 + }, + { + "epoch": 0.81, + "learning_rate": 1.7729612119901652e-06, + "loss": 0.6997, + "step": 5141 + }, + { + "epoch": 0.81, + "learning_rate": 1.7700493877770165e-06, + "loss": 0.7014, + "step": 5142 + }, + { + "epoch": 0.81, + "learning_rate": 1.7671397244621923e-06, + "loss": 0.7101, + "step": 5143 + }, + { + "epoch": 0.81, + "learning_rate": 1.7642322228096686e-06, + "loss": 0.6735, + "step": 5144 + }, + { + "epoch": 0.81, + "learning_rate": 1.7613268835828535e-06, + "loss": 0.6864, + "step": 5145 + }, + { + "epoch": 0.81, + "learning_rate": 1.7584237075445877e-06, + "loss": 0.7021, + "step": 5146 + }, + { + "epoch": 0.81, + "learning_rate": 1.7555226954571448e-06, + "loss": 0.7415, + "step": 5147 + }, + { + "epoch": 0.81, + "learning_rate": 1.75262384808223e-06, + "loss": 0.6562, + "step": 5148 + }, + { + "epoch": 0.81, + "learning_rate": 1.7497271661809777e-06, + "loss": 0.7195, + "step": 5149 + }, + { + "epoch": 0.81, + "learning_rate": 1.7468326505139576e-06, + "loss": 0.7166, + "step": 5150 + }, + { + "epoch": 0.81, + "learning_rate": 1.7439403018411682e-06, + "loss": 0.6771, + "step": 5151 + }, + { + "epoch": 0.82, + "learning_rate": 1.7410501209220388e-06, + "loss": 0.2925, + "step": 5152 + }, + { + "epoch": 0.82, + "learning_rate": 1.7381621085154298e-06, + "loss": 0.7106, + "step": 5153 + }, + { + "epoch": 0.82, + "learning_rate": 1.7352762653796318e-06, + "loss": 0.7196, + "step": 5154 + }, + { + "epoch": 0.82, + "learning_rate": 1.7323925922723706e-06, + "loss": 0.7412, + "step": 5155 + }, + { + "epoch": 0.82, + "learning_rate": 1.7295110899507972e-06, + "loss": 0.7041, + "step": 5156 + }, + { + "epoch": 0.82, + "learning_rate": 1.726631759171491e-06, + "loss": 0.7712, + "step": 5157 + }, + { + "epoch": 0.82, + "learning_rate": 1.7237546006904659e-06, + "loss": 0.7859, + "step": 5158 + }, + { + "epoch": 0.82, + "learning_rate": 1.7208796152631636e-06, + "loss": 0.729, + "step": 5159 + }, + { + "epoch": 0.82, + "learning_rate": 1.7180068036444552e-06, + "loss": 0.6775, + "step": 5160 + }, + { + "epoch": 0.82, + "learning_rate": 1.715136166588639e-06, + "loss": 0.7678, + "step": 5161 + }, + { + "epoch": 0.82, + "learning_rate": 1.7122677048494462e-06, + "loss": 0.729, + "step": 5162 + }, + { + "epoch": 0.82, + "learning_rate": 1.7094014191800356e-06, + "loss": 0.707, + "step": 5163 + }, + { + "epoch": 0.82, + "learning_rate": 1.7065373103329919e-06, + "loss": 0.6494, + "step": 5164 + }, + { + "epoch": 0.82, + "learning_rate": 1.70367537906033e-06, + "loss": 0.7059, + "step": 5165 + }, + { + "epoch": 0.82, + "learning_rate": 1.7008156261134957e-06, + "loss": 0.7524, + "step": 5166 + }, + { + "epoch": 0.82, + "learning_rate": 1.697958052243357e-06, + "loss": 0.6904, + "step": 5167 + }, + { + "epoch": 0.82, + "learning_rate": 1.6951026582002185e-06, + "loss": 0.72, + "step": 5168 + }, + { + "epoch": 0.82, + "learning_rate": 1.6922494447338034e-06, + "loss": 0.759, + "step": 5169 + }, + { + "epoch": 0.82, + "learning_rate": 1.6893984125932672e-06, + "loss": 0.6985, + "step": 5170 + }, + { + "epoch": 0.82, + "learning_rate": 1.686549562527191e-06, + "loss": 0.7161, + "step": 5171 + }, + { + "epoch": 0.82, + "learning_rate": 1.6837028952835865e-06, + "loss": 0.6768, + "step": 5172 + }, + { + "epoch": 0.82, + "learning_rate": 1.6808584116098848e-06, + "loss": 0.6849, + "step": 5173 + }, + { + "epoch": 0.82, + "learning_rate": 1.678016112252948e-06, + "loss": 0.6982, + "step": 5174 + }, + { + "epoch": 0.82, + "learning_rate": 1.67517599795907e-06, + "loss": 0.7834, + "step": 5175 + }, + { + "epoch": 0.82, + "learning_rate": 1.6723380694739621e-06, + "loss": 0.6874, + "step": 5176 + }, + { + "epoch": 0.82, + "learning_rate": 1.6695023275427668e-06, + "loss": 0.6802, + "step": 5177 + }, + { + "epoch": 0.82, + "learning_rate": 1.6666687729100516e-06, + "loss": 0.6108, + "step": 5178 + }, + { + "epoch": 0.82, + "learning_rate": 1.663837406319808e-06, + "loss": 0.7162, + "step": 5179 + }, + { + "epoch": 0.82, + "learning_rate": 1.661008228515454e-06, + "loss": 0.7089, + "step": 5180 + }, + { + "epoch": 0.82, + "learning_rate": 1.6581812402398323e-06, + "loss": 0.6595, + "step": 5181 + }, + { + "epoch": 0.82, + "learning_rate": 1.655356442235214e-06, + "loss": 0.6818, + "step": 5182 + }, + { + "epoch": 0.82, + "learning_rate": 1.652533835243293e-06, + "loss": 0.733, + "step": 5183 + }, + { + "epoch": 0.82, + "learning_rate": 1.649713420005188e-06, + "loss": 0.6901, + "step": 5184 + }, + { + "epoch": 0.82, + "learning_rate": 1.6468951972614377e-06, + "loss": 0.7007, + "step": 5185 + }, + { + "epoch": 0.82, + "learning_rate": 1.6440791677520117e-06, + "loss": 0.7449, + "step": 5186 + }, + { + "epoch": 0.82, + "learning_rate": 1.6412653322162986e-06, + "loss": 0.7346, + "step": 5187 + }, + { + "epoch": 0.82, + "learning_rate": 1.6384536913931183e-06, + "loss": 0.7642, + "step": 5188 + }, + { + "epoch": 0.82, + "learning_rate": 1.6356442460207079e-06, + "loss": 0.7527, + "step": 5189 + }, + { + "epoch": 0.82, + "learning_rate": 1.6328369968367286e-06, + "loss": 0.7532, + "step": 5190 + }, + { + "epoch": 0.82, + "learning_rate": 1.6300319445782676e-06, + "loss": 0.7515, + "step": 5191 + }, + { + "epoch": 0.82, + "learning_rate": 1.6272290899818332e-06, + "loss": 0.7545, + "step": 5192 + }, + { + "epoch": 0.82, + "learning_rate": 1.6244284337833583e-06, + "loss": 0.7354, + "step": 5193 + }, + { + "epoch": 0.82, + "learning_rate": 1.6216299767181964e-06, + "loss": 0.6064, + "step": 5194 + }, + { + "epoch": 0.82, + "learning_rate": 1.6188337195211223e-06, + "loss": 0.6953, + "step": 5195 + }, + { + "epoch": 0.82, + "learning_rate": 1.6160396629263452e-06, + "loss": 0.7134, + "step": 5196 + }, + { + "epoch": 0.82, + "learning_rate": 1.6132478076674774e-06, + "loss": 0.7563, + "step": 5197 + }, + { + "epoch": 0.82, + "learning_rate": 1.6104581544775655e-06, + "loss": 0.7101, + "step": 5198 + }, + { + "epoch": 0.82, + "learning_rate": 1.607670704089076e-06, + "loss": 0.7046, + "step": 5199 + }, + { + "epoch": 0.82, + "learning_rate": 1.6048854572338969e-06, + "loss": 0.7183, + "step": 5200 + }, + { + "epoch": 0.82, + "learning_rate": 1.602102414643333e-06, + "loss": 0.7209, + "step": 5201 + }, + { + "epoch": 0.82, + "learning_rate": 1.5993215770481196e-06, + "loss": 0.7417, + "step": 5202 + }, + { + "epoch": 0.82, + "learning_rate": 1.5965429451784064e-06, + "loss": 0.7343, + "step": 5203 + }, + { + "epoch": 0.82, + "learning_rate": 1.5937665197637642e-06, + "loss": 0.6996, + "step": 5204 + }, + { + "epoch": 0.82, + "learning_rate": 1.5909923015331863e-06, + "loss": 0.7749, + "step": 5205 + }, + { + "epoch": 0.82, + "learning_rate": 1.5882202912150857e-06, + "loss": 0.7717, + "step": 5206 + }, + { + "epoch": 0.82, + "learning_rate": 1.5854504895372946e-06, + "loss": 0.6169, + "step": 5207 + }, + { + "epoch": 0.82, + "learning_rate": 1.582682897227068e-06, + "loss": 0.7312, + "step": 5208 + }, + { + "epoch": 0.82, + "learning_rate": 1.579917515011078e-06, + "loss": 0.6218, + "step": 5209 + }, + { + "epoch": 0.82, + "learning_rate": 1.577154343615419e-06, + "loss": 0.7102, + "step": 5210 + }, + { + "epoch": 0.82, + "learning_rate": 1.5743933837656023e-06, + "loss": 0.7576, + "step": 5211 + }, + { + "epoch": 0.82, + "learning_rate": 1.5716346361865598e-06, + "loss": 0.7285, + "step": 5212 + }, + { + "epoch": 0.82, + "learning_rate": 1.5688781016026434e-06, + "loss": 0.6479, + "step": 5213 + }, + { + "epoch": 0.82, + "learning_rate": 1.5661237807376217e-06, + "loss": 0.2355, + "step": 5214 + }, + { + "epoch": 0.83, + "learning_rate": 1.5633716743146832e-06, + "loss": 0.6899, + "step": 5215 + }, + { + "epoch": 0.83, + "learning_rate": 1.5606217830564375e-06, + "loss": 0.7186, + "step": 5216 + }, + { + "epoch": 0.83, + "learning_rate": 1.557874107684909e-06, + "loss": 0.7368, + "step": 5217 + }, + { + "epoch": 0.83, + "learning_rate": 1.5551286489215423e-06, + "loss": 0.7888, + "step": 5218 + }, + { + "epoch": 0.83, + "learning_rate": 1.5523854074872003e-06, + "loss": 0.6978, + "step": 5219 + }, + { + "epoch": 0.83, + "learning_rate": 1.5496443841021592e-06, + "loss": 0.7991, + "step": 5220 + }, + { + "epoch": 0.83, + "learning_rate": 1.5469055794861143e-06, + "loss": 0.6731, + "step": 5221 + }, + { + "epoch": 0.83, + "learning_rate": 1.5441689943581873e-06, + "loss": 0.2546, + "step": 5222 + }, + { + "epoch": 0.83, + "learning_rate": 1.5414346294369054e-06, + "loss": 0.7163, + "step": 5223 + }, + { + "epoch": 0.83, + "learning_rate": 1.53870248544022e-06, + "loss": 0.6396, + "step": 5224 + }, + { + "epoch": 0.83, + "learning_rate": 1.535972563085495e-06, + "loss": 0.7361, + "step": 5225 + }, + { + "epoch": 0.83, + "learning_rate": 1.5332448630895136e-06, + "loss": 0.3008, + "step": 5226 + }, + { + "epoch": 0.83, + "learning_rate": 1.5305193861684753e-06, + "loss": 0.7239, + "step": 5227 + }, + { + "epoch": 0.83, + "learning_rate": 1.527796133037992e-06, + "loss": 0.2579, + "step": 5228 + }, + { + "epoch": 0.83, + "learning_rate": 1.5250751044131006e-06, + "loss": 0.3085, + "step": 5229 + }, + { + "epoch": 0.83, + "learning_rate": 1.5223563010082465e-06, + "loss": 0.736, + "step": 5230 + }, + { + "epoch": 0.83, + "learning_rate": 1.519639723537294e-06, + "loss": 0.6095, + "step": 5231 + }, + { + "epoch": 0.83, + "learning_rate": 1.516925372713517e-06, + "loss": 0.7036, + "step": 5232 + }, + { + "epoch": 0.83, + "learning_rate": 1.5142132492496131e-06, + "loss": 0.7008, + "step": 5233 + }, + { + "epoch": 0.83, + "learning_rate": 1.5115033538576874e-06, + "loss": 0.6847, + "step": 5234 + }, + { + "epoch": 0.83, + "learning_rate": 1.5087956872492703e-06, + "loss": 0.7074, + "step": 5235 + }, + { + "epoch": 0.83, + "learning_rate": 1.506090250135297e-06, + "loss": 0.7365, + "step": 5236 + }, + { + "epoch": 0.83, + "learning_rate": 1.5033870432261222e-06, + "loss": 0.6421, + "step": 5237 + }, + { + "epoch": 0.83, + "learning_rate": 1.5006860672315139e-06, + "loss": 0.6744, + "step": 5238 + }, + { + "epoch": 0.83, + "learning_rate": 1.4979873228606533e-06, + "loss": 0.6776, + "step": 5239 + }, + { + "epoch": 0.83, + "learning_rate": 1.4952908108221365e-06, + "loss": 0.6792, + "step": 5240 + }, + { + "epoch": 0.83, + "learning_rate": 1.4925965318239754e-06, + "loss": 0.6927, + "step": 5241 + }, + { + "epoch": 0.83, + "learning_rate": 1.489904486573589e-06, + "loss": 0.6896, + "step": 5242 + }, + { + "epoch": 0.83, + "learning_rate": 1.487214675777824e-06, + "loss": 0.7456, + "step": 5243 + }, + { + "epoch": 0.83, + "learning_rate": 1.4845271001429228e-06, + "loss": 0.6997, + "step": 5244 + }, + { + "epoch": 0.83, + "learning_rate": 1.4818417603745516e-06, + "loss": 0.8013, + "step": 5245 + }, + { + "epoch": 0.83, + "learning_rate": 1.479158657177786e-06, + "loss": 0.6436, + "step": 5246 + }, + { + "epoch": 0.83, + "learning_rate": 1.4764777912571183e-06, + "loss": 0.6637, + "step": 5247 + }, + { + "epoch": 0.83, + "learning_rate": 1.473799163316445e-06, + "loss": 0.738, + "step": 5248 + }, + { + "epoch": 0.83, + "learning_rate": 1.4711227740590871e-06, + "loss": 0.7434, + "step": 5249 + }, + { + "epoch": 0.83, + "learning_rate": 1.4684486241877683e-06, + "loss": 0.7275, + "step": 5250 + }, + { + "epoch": 0.83, + "learning_rate": 1.4657767144046264e-06, + "loss": 0.2792, + "step": 5251 + }, + { + "epoch": 0.83, + "learning_rate": 1.4631070454112127e-06, + "loss": 0.7333, + "step": 5252 + }, + { + "epoch": 0.83, + "learning_rate": 1.4604396179084901e-06, + "loss": 0.7393, + "step": 5253 + }, + { + "epoch": 0.83, + "learning_rate": 1.4577744325968313e-06, + "loss": 0.7441, + "step": 5254 + }, + { + "epoch": 0.83, + "learning_rate": 1.45511149017602e-06, + "loss": 0.6571, + "step": 5255 + }, + { + "epoch": 0.83, + "learning_rate": 1.4524507913452536e-06, + "loss": 0.7195, + "step": 5256 + }, + { + "epoch": 0.83, + "learning_rate": 1.4497923368031387e-06, + "loss": 0.7129, + "step": 5257 + }, + { + "epoch": 0.83, + "learning_rate": 1.4471361272476925e-06, + "loss": 0.7122, + "step": 5258 + }, + { + "epoch": 0.83, + "learning_rate": 1.4444821633763428e-06, + "loss": 0.6537, + "step": 5259 + }, + { + "epoch": 0.83, + "learning_rate": 1.4418304458859288e-06, + "loss": 0.7029, + "step": 5260 + }, + { + "epoch": 0.83, + "learning_rate": 1.4391809754726982e-06, + "loss": 0.728, + "step": 5261 + }, + { + "epoch": 0.83, + "learning_rate": 1.4365337528323087e-06, + "loss": 0.6808, + "step": 5262 + }, + { + "epoch": 0.83, + "learning_rate": 1.4338887786598322e-06, + "loss": 0.7086, + "step": 5263 + }, + { + "epoch": 0.83, + "learning_rate": 1.4312460536497452e-06, + "loss": 0.7156, + "step": 5264 + }, + { + "epoch": 0.83, + "learning_rate": 1.428605578495934e-06, + "loss": 0.7117, + "step": 5265 + }, + { + "epoch": 0.83, + "learning_rate": 1.4259673538916996e-06, + "loss": 0.704, + "step": 5266 + }, + { + "epoch": 0.83, + "learning_rate": 1.4233313805297421e-06, + "loss": 0.7168, + "step": 5267 + }, + { + "epoch": 0.83, + "learning_rate": 1.420697659102176e-06, + "loss": 0.7203, + "step": 5268 + }, + { + "epoch": 0.83, + "learning_rate": 1.41806619030053e-06, + "loss": 0.6913, + "step": 5269 + }, + { + "epoch": 0.83, + "learning_rate": 1.4154369748157327e-06, + "loss": 0.6752, + "step": 5270 + }, + { + "epoch": 0.83, + "learning_rate": 1.412810013338126e-06, + "loss": 0.6732, + "step": 5271 + }, + { + "epoch": 0.83, + "learning_rate": 1.410185306557459e-06, + "loss": 0.7404, + "step": 5272 + }, + { + "epoch": 0.83, + "learning_rate": 1.4075628551628863e-06, + "loss": 0.762, + "step": 5273 + }, + { + "epoch": 0.83, + "learning_rate": 1.4049426598429726e-06, + "loss": 0.6829, + "step": 5274 + }, + { + "epoch": 0.83, + "learning_rate": 1.4023247212856895e-06, + "loss": 0.7136, + "step": 5275 + }, + { + "epoch": 0.83, + "learning_rate": 1.3997090401784185e-06, + "loss": 0.6757, + "step": 5276 + }, + { + "epoch": 0.83, + "learning_rate": 1.3970956172079453e-06, + "loss": 0.7148, + "step": 5277 + }, + { + "epoch": 0.83, + "learning_rate": 1.3944844530604663e-06, + "loss": 0.7019, + "step": 5278 + }, + { + "epoch": 0.84, + "learning_rate": 1.3918755484215774e-06, + "loss": 0.7384, + "step": 5279 + }, + { + "epoch": 0.84, + "learning_rate": 1.3892689039762874e-06, + "loss": 0.6733, + "step": 5280 + }, + { + "epoch": 0.84, + "learning_rate": 1.38666452040901e-06, + "loss": 0.6934, + "step": 5281 + }, + { + "epoch": 0.84, + "learning_rate": 1.3840623984035695e-06, + "loss": 0.7133, + "step": 5282 + }, + { + "epoch": 0.84, + "learning_rate": 1.381462538643189e-06, + "loss": 0.2364, + "step": 5283 + }, + { + "epoch": 0.84, + "learning_rate": 1.3788649418105015e-06, + "loss": 0.7029, + "step": 5284 + }, + { + "epoch": 0.84, + "learning_rate": 1.376269608587546e-06, + "loss": 0.6833, + "step": 5285 + }, + { + "epoch": 0.84, + "learning_rate": 1.3736765396557672e-06, + "loss": 0.3005, + "step": 5286 + }, + { + "epoch": 0.84, + "learning_rate": 1.3710857356960128e-06, + "loss": 0.6663, + "step": 5287 + }, + { + "epoch": 0.84, + "learning_rate": 1.3684971973885397e-06, + "loss": 0.7064, + "step": 5288 + }, + { + "epoch": 0.84, + "learning_rate": 1.3659109254130042e-06, + "loss": 0.7137, + "step": 5289 + }, + { + "epoch": 0.84, + "learning_rate": 1.363326920448479e-06, + "loss": 0.6787, + "step": 5290 + }, + { + "epoch": 0.84, + "learning_rate": 1.3607451831734265e-06, + "loss": 0.6875, + "step": 5291 + }, + { + "epoch": 0.84, + "learning_rate": 1.3581657142657224e-06, + "loss": 0.7375, + "step": 5292 + }, + { + "epoch": 0.84, + "learning_rate": 1.3555885144026458e-06, + "loss": 0.7449, + "step": 5293 + }, + { + "epoch": 0.84, + "learning_rate": 1.3530135842608816e-06, + "loss": 0.7284, + "step": 5294 + }, + { + "epoch": 0.84, + "learning_rate": 1.3504409245165118e-06, + "loss": 0.7598, + "step": 5295 + }, + { + "epoch": 0.84, + "learning_rate": 1.3478705358450329e-06, + "loss": 0.7412, + "step": 5296 + }, + { + "epoch": 0.84, + "learning_rate": 1.3453024189213372e-06, + "loss": 0.6798, + "step": 5297 + }, + { + "epoch": 0.84, + "learning_rate": 1.342736574419723e-06, + "loss": 0.6881, + "step": 5298 + }, + { + "epoch": 0.84, + "learning_rate": 1.3401730030138914e-06, + "loss": 0.7242, + "step": 5299 + }, + { + "epoch": 0.84, + "learning_rate": 1.3376117053769455e-06, + "loss": 0.7599, + "step": 5300 + }, + { + "epoch": 0.84, + "learning_rate": 1.3350526821813957e-06, + "loss": 0.7461, + "step": 5301 + }, + { + "epoch": 0.84, + "learning_rate": 1.3324959340991505e-06, + "loss": 0.6678, + "step": 5302 + }, + { + "epoch": 0.84, + "learning_rate": 1.3299414618015226e-06, + "loss": 0.6448, + "step": 5303 + }, + { + "epoch": 0.84, + "learning_rate": 1.327389265959228e-06, + "loss": 0.6713, + "step": 5304 + }, + { + "epoch": 0.84, + "learning_rate": 1.3248393472423847e-06, + "loss": 0.7297, + "step": 5305 + }, + { + "epoch": 0.84, + "learning_rate": 1.3222917063205133e-06, + "loss": 0.719, + "step": 5306 + }, + { + "epoch": 0.84, + "learning_rate": 1.3197463438625336e-06, + "loss": 0.7058, + "step": 5307 + }, + { + "epoch": 0.84, + "learning_rate": 1.3172032605367701e-06, + "loss": 0.7172, + "step": 5308 + }, + { + "epoch": 0.84, + "learning_rate": 1.3146624570109455e-06, + "loss": 0.6846, + "step": 5309 + }, + { + "epoch": 0.84, + "learning_rate": 1.3121239339521908e-06, + "loss": 0.7363, + "step": 5310 + }, + { + "epoch": 0.84, + "learning_rate": 1.309587692027031e-06, + "loss": 0.7019, + "step": 5311 + }, + { + "epoch": 0.84, + "learning_rate": 1.3070537319013965e-06, + "loss": 0.7231, + "step": 5312 + }, + { + "epoch": 0.84, + "learning_rate": 1.3045220542406178e-06, + "loss": 0.6519, + "step": 5313 + }, + { + "epoch": 0.84, + "learning_rate": 1.3019926597094212e-06, + "loss": 0.7271, + "step": 5314 + }, + { + "epoch": 0.84, + "learning_rate": 1.2994655489719366e-06, + "loss": 0.6932, + "step": 5315 + }, + { + "epoch": 0.84, + "learning_rate": 1.2969407226917019e-06, + "loss": 0.75, + "step": 5316 + }, + { + "epoch": 0.84, + "learning_rate": 1.2944181815316437e-06, + "loss": 0.7271, + "step": 5317 + }, + { + "epoch": 0.84, + "learning_rate": 1.2918979261540954e-06, + "loss": 0.7469, + "step": 5318 + }, + { + "epoch": 0.84, + "learning_rate": 1.2893799572207877e-06, + "loss": 0.6979, + "step": 5319 + }, + { + "epoch": 0.84, + "learning_rate": 1.2868642753928507e-06, + "loss": 0.7588, + "step": 5320 + }, + { + "epoch": 0.84, + "learning_rate": 1.2843508813308159e-06, + "loss": 0.6984, + "step": 5321 + }, + { + "epoch": 0.84, + "learning_rate": 1.281839775694611e-06, + "loss": 0.6884, + "step": 5322 + }, + { + "epoch": 0.84, + "learning_rate": 1.2793309591435676e-06, + "loss": 0.7107, + "step": 5323 + }, + { + "epoch": 0.84, + "learning_rate": 1.2768244323364132e-06, + "loss": 0.741, + "step": 5324 + }, + { + "epoch": 0.84, + "learning_rate": 1.2743201959312756e-06, + "loss": 0.7058, + "step": 5325 + }, + { + "epoch": 0.84, + "learning_rate": 1.2718182505856758e-06, + "loss": 0.7588, + "step": 5326 + }, + { + "epoch": 0.84, + "learning_rate": 1.2693185969565403e-06, + "loss": 0.6923, + "step": 5327 + }, + { + "epoch": 0.84, + "learning_rate": 1.2668212357001898e-06, + "loss": 0.6739, + "step": 5328 + }, + { + "epoch": 0.84, + "learning_rate": 1.264326167472343e-06, + "loss": 0.6594, + "step": 5329 + }, + { + "epoch": 0.84, + "learning_rate": 1.2618333929281223e-06, + "loss": 0.7532, + "step": 5330 + }, + { + "epoch": 0.84, + "learning_rate": 1.2593429127220414e-06, + "loss": 0.7549, + "step": 5331 + }, + { + "epoch": 0.84, + "learning_rate": 1.2568547275080135e-06, + "loss": 0.7108, + "step": 5332 + }, + { + "epoch": 0.84, + "learning_rate": 1.2543688379393483e-06, + "loss": 0.7151, + "step": 5333 + }, + { + "epoch": 0.84, + "learning_rate": 1.2518852446687557e-06, + "loss": 0.8, + "step": 5334 + }, + { + "epoch": 0.84, + "learning_rate": 1.24940394834834e-06, + "loss": 0.6906, + "step": 5335 + }, + { + "epoch": 0.84, + "learning_rate": 1.2469249496295999e-06, + "loss": 0.6985, + "step": 5336 + }, + { + "epoch": 0.84, + "learning_rate": 1.2444482491634413e-06, + "loss": 0.7013, + "step": 5337 + }, + { + "epoch": 0.84, + "learning_rate": 1.2419738476001542e-06, + "loss": 0.63, + "step": 5338 + }, + { + "epoch": 0.84, + "learning_rate": 1.239501745589431e-06, + "loss": 0.6809, + "step": 5339 + }, + { + "epoch": 0.84, + "learning_rate": 1.2370319437803601e-06, + "loss": 0.7009, + "step": 5340 + }, + { + "epoch": 0.84, + "learning_rate": 1.2345644428214254e-06, + "loss": 0.6844, + "step": 5341 + }, + { + "epoch": 0.85, + "learning_rate": 1.232099243360504e-06, + "loss": 0.6917, + "step": 5342 + }, + { + "epoch": 0.85, + "learning_rate": 1.2296363460448758e-06, + "loss": 0.7327, + "step": 5343 + }, + { + "epoch": 0.85, + "learning_rate": 1.2271757515212102e-06, + "loss": 0.6811, + "step": 5344 + }, + { + "epoch": 0.85, + "learning_rate": 1.224717460435574e-06, + "loss": 0.7231, + "step": 5345 + }, + { + "epoch": 0.85, + "learning_rate": 1.222261473433428e-06, + "loss": 0.7329, + "step": 5346 + }, + { + "epoch": 0.85, + "learning_rate": 1.2198077911596284e-06, + "loss": 0.6227, + "step": 5347 + }, + { + "epoch": 0.85, + "learning_rate": 1.2173564142584281e-06, + "loss": 0.7039, + "step": 5348 + }, + { + "epoch": 0.85, + "learning_rate": 1.2149073433734726e-06, + "loss": 0.6473, + "step": 5349 + }, + { + "epoch": 0.85, + "learning_rate": 1.2124605791478016e-06, + "loss": 0.6793, + "step": 5350 + }, + { + "epoch": 0.85, + "learning_rate": 1.2100161222238516e-06, + "loss": 0.6597, + "step": 5351 + }, + { + "epoch": 0.85, + "learning_rate": 1.207573973243451e-06, + "loss": 0.7052, + "step": 5352 + }, + { + "epoch": 0.85, + "learning_rate": 1.205134132847824e-06, + "loss": 0.6884, + "step": 5353 + }, + { + "epoch": 0.85, + "learning_rate": 1.2026966016775865e-06, + "loss": 0.6794, + "step": 5354 + }, + { + "epoch": 0.85, + "learning_rate": 1.2002613803727492e-06, + "loss": 0.6841, + "step": 5355 + }, + { + "epoch": 0.85, + "learning_rate": 1.197828469572716e-06, + "loss": 0.2538, + "step": 5356 + }, + { + "epoch": 0.85, + "learning_rate": 1.1953978699162872e-06, + "loss": 0.7603, + "step": 5357 + }, + { + "epoch": 0.85, + "learning_rate": 1.192969582041651e-06, + "loss": 0.6625, + "step": 5358 + }, + { + "epoch": 0.85, + "learning_rate": 1.190543606586393e-06, + "loss": 0.7096, + "step": 5359 + }, + { + "epoch": 0.85, + "learning_rate": 1.188119944187489e-06, + "loss": 0.6502, + "step": 5360 + }, + { + "epoch": 0.85, + "learning_rate": 1.1856985954813093e-06, + "loss": 0.7021, + "step": 5361 + }, + { + "epoch": 0.85, + "learning_rate": 1.1832795611036119e-06, + "loss": 0.7174, + "step": 5362 + }, + { + "epoch": 0.85, + "learning_rate": 1.1808628416895551e-06, + "loss": 0.6624, + "step": 5363 + }, + { + "epoch": 0.85, + "learning_rate": 1.1784484378736838e-06, + "loss": 0.7549, + "step": 5364 + }, + { + "epoch": 0.85, + "learning_rate": 1.1760363502899353e-06, + "loss": 0.7153, + "step": 5365 + }, + { + "epoch": 0.85, + "learning_rate": 1.1736265795716429e-06, + "loss": 0.6671, + "step": 5366 + }, + { + "epoch": 0.85, + "learning_rate": 1.1712191263515248e-06, + "loss": 0.6676, + "step": 5367 + }, + { + "epoch": 0.85, + "learning_rate": 1.1688139912616959e-06, + "loss": 0.6619, + "step": 5368 + }, + { + "epoch": 0.85, + "learning_rate": 1.1664111749336616e-06, + "loss": 0.688, + "step": 5369 + }, + { + "epoch": 0.85, + "learning_rate": 1.1640106779983152e-06, + "loss": 0.256, + "step": 5370 + }, + { + "epoch": 0.85, + "learning_rate": 1.161612501085947e-06, + "loss": 0.2896, + "step": 5371 + }, + { + "epoch": 0.85, + "learning_rate": 1.1592166448262354e-06, + "loss": 0.6718, + "step": 5372 + }, + { + "epoch": 0.85, + "learning_rate": 1.1568231098482442e-06, + "loss": 0.6914, + "step": 5373 + }, + { + "epoch": 0.85, + "learning_rate": 1.1544318967804348e-06, + "loss": 0.7554, + "step": 5374 + }, + { + "epoch": 0.85, + "learning_rate": 1.152043006250656e-06, + "loss": 0.6548, + "step": 5375 + }, + { + "epoch": 0.85, + "learning_rate": 1.1496564388861463e-06, + "loss": 0.7686, + "step": 5376 + }, + { + "epoch": 0.85, + "learning_rate": 1.147272195313538e-06, + "loss": 0.7451, + "step": 5377 + }, + { + "epoch": 0.85, + "learning_rate": 1.1448902761588487e-06, + "loss": 0.6791, + "step": 5378 + }, + { + "epoch": 0.85, + "learning_rate": 1.1425106820474875e-06, + "loss": 0.704, + "step": 5379 + }, + { + "epoch": 0.85, + "learning_rate": 1.140133413604252e-06, + "loss": 0.6904, + "step": 5380 + }, + { + "epoch": 0.85, + "learning_rate": 1.1377584714533318e-06, + "loss": 0.7932, + "step": 5381 + }, + { + "epoch": 0.85, + "learning_rate": 1.135385856218303e-06, + "loss": 0.6589, + "step": 5382 + }, + { + "epoch": 0.85, + "learning_rate": 1.13301556852213e-06, + "loss": 0.7181, + "step": 5383 + }, + { + "epoch": 0.85, + "learning_rate": 1.1306476089871732e-06, + "loss": 0.7319, + "step": 5384 + }, + { + "epoch": 0.85, + "learning_rate": 1.1282819782351706e-06, + "loss": 0.7327, + "step": 5385 + }, + { + "epoch": 0.85, + "learning_rate": 1.1259186768872576e-06, + "loss": 0.6743, + "step": 5386 + }, + { + "epoch": 0.85, + "learning_rate": 1.1235577055639523e-06, + "loss": 0.6556, + "step": 5387 + }, + { + "epoch": 0.85, + "learning_rate": 1.1211990648851657e-06, + "loss": 0.6805, + "step": 5388 + }, + { + "epoch": 0.85, + "learning_rate": 1.118842755470192e-06, + "loss": 0.7, + "step": 5389 + }, + { + "epoch": 0.85, + "learning_rate": 1.1164887779377198e-06, + "loss": 0.6853, + "step": 5390 + }, + { + "epoch": 0.85, + "learning_rate": 1.1141371329058192e-06, + "loss": 0.7217, + "step": 5391 + }, + { + "epoch": 0.85, + "learning_rate": 1.1117878209919507e-06, + "loss": 0.7542, + "step": 5392 + }, + { + "epoch": 0.85, + "learning_rate": 1.1094408428129632e-06, + "loss": 0.6836, + "step": 5393 + }, + { + "epoch": 0.85, + "learning_rate": 1.1070961989850882e-06, + "loss": 0.7014, + "step": 5394 + }, + { + "epoch": 0.85, + "learning_rate": 1.1047538901239508e-06, + "loss": 0.7463, + "step": 5395 + }, + { + "epoch": 0.85, + "learning_rate": 1.102413916844557e-06, + "loss": 0.7568, + "step": 5396 + }, + { + "epoch": 0.85, + "learning_rate": 1.100076279761304e-06, + "loss": 0.6668, + "step": 5397 + }, + { + "epoch": 0.85, + "learning_rate": 1.0977409794879733e-06, + "loss": 0.683, + "step": 5398 + }, + { + "epoch": 0.85, + "learning_rate": 1.0954080166377334e-06, + "loss": 0.7194, + "step": 5399 + }, + { + "epoch": 0.85, + "learning_rate": 1.0930773918231386e-06, + "loss": 0.6597, + "step": 5400 + }, + { + "epoch": 0.85, + "learning_rate": 1.0907491056561316e-06, + "loss": 0.7466, + "step": 5401 + }, + { + "epoch": 0.85, + "learning_rate": 1.0884231587480366e-06, + "loss": 0.7131, + "step": 5402 + }, + { + "epoch": 0.85, + "learning_rate": 1.0860995517095663e-06, + "loss": 0.7157, + "step": 5403 + }, + { + "epoch": 0.85, + "learning_rate": 1.0837782851508216e-06, + "loss": 0.7283, + "step": 5404 + }, + { + "epoch": 0.86, + "learning_rate": 1.0814593596812851e-06, + "loss": 0.7108, + "step": 5405 + }, + { + "epoch": 0.86, + "learning_rate": 1.079142775909825e-06, + "loss": 0.6978, + "step": 5406 + }, + { + "epoch": 0.86, + "learning_rate": 1.0768285344446971e-06, + "loss": 0.7698, + "step": 5407 + }, + { + "epoch": 0.86, + "learning_rate": 1.0745166358935411e-06, + "loss": 0.6412, + "step": 5408 + }, + { + "epoch": 0.86, + "learning_rate": 1.0722070808633755e-06, + "loss": 0.7524, + "step": 5409 + }, + { + "epoch": 0.86, + "learning_rate": 1.0698998699606145e-06, + "loss": 0.6987, + "step": 5410 + }, + { + "epoch": 0.86, + "learning_rate": 1.067595003791051e-06, + "loss": 0.6423, + "step": 5411 + }, + { + "epoch": 0.86, + "learning_rate": 1.0652924829598599e-06, + "loss": 0.7207, + "step": 5412 + }, + { + "epoch": 0.86, + "learning_rate": 1.0629923080716053e-06, + "loss": 0.2819, + "step": 5413 + }, + { + "epoch": 0.86, + "learning_rate": 1.060694479730232e-06, + "loss": 0.7003, + "step": 5414 + }, + { + "epoch": 0.86, + "learning_rate": 1.0583989985390696e-06, + "loss": 0.73, + "step": 5415 + }, + { + "epoch": 0.86, + "learning_rate": 1.0561058651008316e-06, + "loss": 0.2512, + "step": 5416 + }, + { + "epoch": 0.86, + "learning_rate": 1.0538150800176139e-06, + "loss": 0.6912, + "step": 5417 + }, + { + "epoch": 0.86, + "learning_rate": 1.0515266438908989e-06, + "loss": 0.7139, + "step": 5418 + }, + { + "epoch": 0.86, + "learning_rate": 1.0492405573215503e-06, + "loss": 0.6897, + "step": 5419 + }, + { + "epoch": 0.86, + "learning_rate": 1.0469568209098146e-06, + "loss": 0.6764, + "step": 5420 + }, + { + "epoch": 0.86, + "learning_rate": 1.044675435255319e-06, + "loss": 0.6824, + "step": 5421 + }, + { + "epoch": 0.86, + "learning_rate": 1.0423964009570776e-06, + "loss": 0.6938, + "step": 5422 + }, + { + "epoch": 0.86, + "learning_rate": 1.0401197186134837e-06, + "loss": 0.7563, + "step": 5423 + }, + { + "epoch": 0.86, + "learning_rate": 1.0378453888223173e-06, + "loss": 0.7223, + "step": 5424 + }, + { + "epoch": 0.86, + "learning_rate": 1.0355734121807382e-06, + "loss": 0.7615, + "step": 5425 + }, + { + "epoch": 0.86, + "learning_rate": 1.033303789285287e-06, + "loss": 0.7023, + "step": 5426 + }, + { + "epoch": 0.86, + "learning_rate": 1.0310365207318884e-06, + "loss": 0.7269, + "step": 5427 + }, + { + "epoch": 0.86, + "learning_rate": 1.028771607115847e-06, + "loss": 0.6714, + "step": 5428 + }, + { + "epoch": 0.86, + "learning_rate": 1.026509049031852e-06, + "loss": 0.6807, + "step": 5429 + }, + { + "epoch": 0.86, + "learning_rate": 1.0242488470739686e-06, + "loss": 0.7347, + "step": 5430 + }, + { + "epoch": 0.86, + "learning_rate": 1.0219910018356526e-06, + "loss": 0.2756, + "step": 5431 + }, + { + "epoch": 0.86, + "learning_rate": 1.019735513909732e-06, + "loss": 0.7268, + "step": 5432 + }, + { + "epoch": 0.86, + "learning_rate": 1.0174823838884196e-06, + "loss": 0.6471, + "step": 5433 + }, + { + "epoch": 0.86, + "learning_rate": 1.01523161236331e-06, + "loss": 0.7081, + "step": 5434 + }, + { + "epoch": 0.86, + "learning_rate": 1.0129831999253759e-06, + "loss": 0.7173, + "step": 5435 + }, + { + "epoch": 0.86, + "learning_rate": 1.0107371471649708e-06, + "loss": 0.6643, + "step": 5436 + }, + { + "epoch": 0.86, + "learning_rate": 1.0084934546718339e-06, + "loss": 0.6882, + "step": 5437 + }, + { + "epoch": 0.86, + "learning_rate": 1.0062521230350797e-06, + "loss": 0.6693, + "step": 5438 + }, + { + "epoch": 0.86, + "learning_rate": 1.0040131528432017e-06, + "loss": 0.6774, + "step": 5439 + }, + { + "epoch": 0.86, + "learning_rate": 1.0017765446840777e-06, + "loss": 0.7173, + "step": 5440 + }, + { + "epoch": 0.86, + "learning_rate": 9.99542299144961e-07, + "loss": 0.7046, + "step": 5441 + }, + { + "epoch": 0.86, + "learning_rate": 9.97310416812488e-07, + "loss": 0.734, + "step": 5442 + }, + { + "epoch": 0.86, + "learning_rate": 9.950808982726724e-07, + "loss": 0.7017, + "step": 5443 + }, + { + "epoch": 0.86, + "learning_rate": 9.928537441109088e-07, + "loss": 0.7324, + "step": 5444 + }, + { + "epoch": 0.86, + "learning_rate": 9.906289549119708e-07, + "loss": 0.7451, + "step": 5445 + }, + { + "epoch": 0.86, + "learning_rate": 9.884065312600088e-07, + "loss": 0.7037, + "step": 5446 + }, + { + "epoch": 0.86, + "learning_rate": 9.86186473738555e-07, + "loss": 0.2812, + "step": 5447 + }, + { + "epoch": 0.86, + "learning_rate": 9.8396878293052e-07, + "loss": 0.7002, + "step": 5448 + }, + { + "epoch": 0.86, + "learning_rate": 9.817534594181898e-07, + "loss": 0.7266, + "step": 5449 + }, + { + "epoch": 0.86, + "learning_rate": 9.795405037832316e-07, + "loss": 0.7258, + "step": 5450 + }, + { + "epoch": 0.86, + "learning_rate": 9.77329916606693e-07, + "loss": 0.7666, + "step": 5451 + }, + { + "epoch": 0.86, + "learning_rate": 9.75121698468996e-07, + "loss": 0.7119, + "step": 5452 + }, + { + "epoch": 0.86, + "learning_rate": 9.729158499499403e-07, + "loss": 0.702, + "step": 5453 + }, + { + "epoch": 0.86, + "learning_rate": 9.70712371628707e-07, + "loss": 0.7334, + "step": 5454 + }, + { + "epoch": 0.86, + "learning_rate": 9.685112640838524e-07, + "loss": 0.6378, + "step": 5455 + }, + { + "epoch": 0.86, + "learning_rate": 9.663125278933072e-07, + "loss": 0.7081, + "step": 5456 + }, + { + "epoch": 0.86, + "learning_rate": 9.641161636343865e-07, + "loss": 0.7162, + "step": 5457 + }, + { + "epoch": 0.86, + "learning_rate": 9.61922171883779e-07, + "loss": 0.6274, + "step": 5458 + }, + { + "epoch": 0.86, + "learning_rate": 9.597305532175495e-07, + "loss": 0.7264, + "step": 5459 + }, + { + "epoch": 0.86, + "learning_rate": 9.575413082111406e-07, + "loss": 0.7109, + "step": 5460 + }, + { + "epoch": 0.86, + "learning_rate": 9.553544374393731e-07, + "loss": 0.7098, + "step": 5461 + }, + { + "epoch": 0.86, + "learning_rate": 9.531699414764406e-07, + "loss": 0.7338, + "step": 5462 + }, + { + "epoch": 0.86, + "learning_rate": 9.509878208959178e-07, + "loss": 0.6854, + "step": 5463 + }, + { + "epoch": 0.86, + "learning_rate": 9.488080762707508e-07, + "loss": 0.7371, + "step": 5464 + }, + { + "epoch": 0.86, + "learning_rate": 9.466307081732696e-07, + "loss": 0.7158, + "step": 5465 + }, + { + "epoch": 0.86, + "learning_rate": 9.444557171751712e-07, + "loss": 0.8086, + "step": 5466 + }, + { + "epoch": 0.86, + "learning_rate": 9.422831038475355e-07, + "loss": 0.7327, + "step": 5467 + }, + { + "epoch": 0.87, + "learning_rate": 9.401128687608108e-07, + "loss": 0.7007, + "step": 5468 + }, + { + "epoch": 0.87, + "learning_rate": 9.379450124848278e-07, + "loss": 0.7219, + "step": 5469 + }, + { + "epoch": 0.87, + "learning_rate": 9.357795355887877e-07, + "loss": 0.7087, + "step": 5470 + }, + { + "epoch": 0.87, + "learning_rate": 9.336164386412738e-07, + "loss": 0.7139, + "step": 5471 + }, + { + "epoch": 0.87, + "learning_rate": 9.314557222102372e-07, + "loss": 0.739, + "step": 5472 + }, + { + "epoch": 0.87, + "learning_rate": 9.292973868630062e-07, + "loss": 0.7119, + "step": 5473 + }, + { + "epoch": 0.87, + "learning_rate": 9.271414331662865e-07, + "loss": 0.6899, + "step": 5474 + }, + { + "epoch": 0.87, + "learning_rate": 9.249878616861552e-07, + "loss": 0.627, + "step": 5475 + }, + { + "epoch": 0.87, + "learning_rate": 9.228366729880655e-07, + "loss": 0.6733, + "step": 5476 + }, + { + "epoch": 0.87, + "learning_rate": 9.206878676368414e-07, + "loss": 0.641, + "step": 5477 + }, + { + "epoch": 0.87, + "learning_rate": 9.185414461966923e-07, + "loss": 0.6665, + "step": 5478 + }, + { + "epoch": 0.87, + "learning_rate": 9.163974092311867e-07, + "loss": 0.272, + "step": 5479 + }, + { + "epoch": 0.87, + "learning_rate": 9.142557573032751e-07, + "loss": 0.6918, + "step": 5480 + }, + { + "epoch": 0.87, + "learning_rate": 9.121164909752822e-07, + "loss": 0.7395, + "step": 5481 + }, + { + "epoch": 0.87, + "learning_rate": 9.099796108089043e-07, + "loss": 0.7526, + "step": 5482 + }, + { + "epoch": 0.87, + "learning_rate": 9.078451173652114e-07, + "loss": 0.7217, + "step": 5483 + }, + { + "epoch": 0.87, + "learning_rate": 9.057130112046453e-07, + "loss": 0.7148, + "step": 5484 + }, + { + "epoch": 0.87, + "learning_rate": 9.03583292887027e-07, + "loss": 0.8112, + "step": 5485 + }, + { + "epoch": 0.87, + "learning_rate": 9.014559629715436e-07, + "loss": 0.7089, + "step": 5486 + }, + { + "epoch": 0.87, + "learning_rate": 8.993310220167583e-07, + "loss": 0.7454, + "step": 5487 + }, + { + "epoch": 0.87, + "learning_rate": 8.972084705806072e-07, + "loss": 0.7239, + "step": 5488 + }, + { + "epoch": 0.87, + "learning_rate": 8.950883092203977e-07, + "loss": 0.7317, + "step": 5489 + }, + { + "epoch": 0.87, + "learning_rate": 8.929705384928111e-07, + "loss": 0.7012, + "step": 5490 + }, + { + "epoch": 0.87, + "learning_rate": 8.908551589538983e-07, + "loss": 0.7, + "step": 5491 + }, + { + "epoch": 0.87, + "learning_rate": 8.88742171159086e-07, + "loss": 0.7108, + "step": 5492 + }, + { + "epoch": 0.87, + "learning_rate": 8.866315756631705e-07, + "loss": 0.2626, + "step": 5493 + }, + { + "epoch": 0.87, + "learning_rate": 8.845233730203217e-07, + "loss": 0.7042, + "step": 5494 + }, + { + "epoch": 0.87, + "learning_rate": 8.824175637840782e-07, + "loss": 0.6956, + "step": 5495 + }, + { + "epoch": 0.87, + "learning_rate": 8.80314148507354e-07, + "loss": 0.7227, + "step": 5496 + }, + { + "epoch": 0.87, + "learning_rate": 8.7821312774243e-07, + "loss": 0.662, + "step": 5497 + }, + { + "epoch": 0.87, + "learning_rate": 8.761145020409645e-07, + "loss": 0.7281, + "step": 5498 + }, + { + "epoch": 0.87, + "learning_rate": 8.740182719539825e-07, + "loss": 0.6962, + "step": 5499 + }, + { + "epoch": 0.87, + "learning_rate": 8.719244380318803e-07, + "loss": 0.692, + "step": 5500 + }, + { + "epoch": 0.87, + "learning_rate": 8.69833000824426e-07, + "loss": 0.6569, + "step": 5501 + }, + { + "epoch": 0.87, + "learning_rate": 8.677439608807592e-07, + "loss": 0.7209, + "step": 5502 + }, + { + "epoch": 0.87, + "learning_rate": 8.656573187493855e-07, + "loss": 0.6877, + "step": 5503 + }, + { + "epoch": 0.87, + "learning_rate": 8.635730749781879e-07, + "loss": 0.7654, + "step": 5504 + }, + { + "epoch": 0.87, + "learning_rate": 8.614912301144152e-07, + "loss": 0.693, + "step": 5505 + }, + { + "epoch": 0.87, + "learning_rate": 8.594117847046868e-07, + "loss": 0.7111, + "step": 5506 + }, + { + "epoch": 0.87, + "learning_rate": 8.573347392949938e-07, + "loss": 0.6919, + "step": 5507 + }, + { + "epoch": 0.87, + "learning_rate": 8.552600944306955e-07, + "loss": 0.6971, + "step": 5508 + }, + { + "epoch": 0.87, + "learning_rate": 8.531878506565205e-07, + "loss": 0.7285, + "step": 5509 + }, + { + "epoch": 0.87, + "learning_rate": 8.511180085165682e-07, + "loss": 0.6823, + "step": 5510 + }, + { + "epoch": 0.87, + "learning_rate": 8.49050568554306e-07, + "loss": 0.7419, + "step": 5511 + }, + { + "epoch": 0.87, + "learning_rate": 8.469855313125752e-07, + "loss": 0.7222, + "step": 5512 + }, + { + "epoch": 0.87, + "learning_rate": 8.449228973335799e-07, + "loss": 0.7375, + "step": 5513 + }, + { + "epoch": 0.87, + "learning_rate": 8.42862667158898e-07, + "loss": 0.678, + "step": 5514 + }, + { + "epoch": 0.87, + "learning_rate": 8.408048413294712e-07, + "loss": 0.7205, + "step": 5515 + }, + { + "epoch": 0.87, + "learning_rate": 8.387494203856139e-07, + "loss": 0.7314, + "step": 5516 + }, + { + "epoch": 0.87, + "learning_rate": 8.366964048670056e-07, + "loss": 0.7734, + "step": 5517 + }, + { + "epoch": 0.87, + "learning_rate": 8.34645795312703e-07, + "loss": 0.7476, + "step": 5518 + }, + { + "epoch": 0.87, + "learning_rate": 8.325975922611195e-07, + "loss": 0.7587, + "step": 5519 + }, + { + "epoch": 0.87, + "learning_rate": 8.305517962500442e-07, + "loss": 0.2673, + "step": 5520 + }, + { + "epoch": 0.87, + "learning_rate": 8.285084078166317e-07, + "loss": 0.6371, + "step": 5521 + }, + { + "epoch": 0.87, + "learning_rate": 8.264674274974038e-07, + "loss": 0.7052, + "step": 5522 + }, + { + "epoch": 0.87, + "learning_rate": 8.244288558282509e-07, + "loss": 0.7703, + "step": 5523 + }, + { + "epoch": 0.87, + "learning_rate": 8.223926933444315e-07, + "loss": 0.6877, + "step": 5524 + }, + { + "epoch": 0.87, + "learning_rate": 8.203589405805679e-07, + "loss": 0.7729, + "step": 5525 + }, + { + "epoch": 0.87, + "learning_rate": 8.183275980706595e-07, + "loss": 0.7308, + "step": 5526 + }, + { + "epoch": 0.87, + "learning_rate": 8.162986663480599e-07, + "loss": 0.7596, + "step": 5527 + }, + { + "epoch": 0.87, + "learning_rate": 8.142721459454984e-07, + "loss": 0.6753, + "step": 5528 + }, + { + "epoch": 0.87, + "learning_rate": 8.12248037395068e-07, + "loss": 0.7269, + "step": 5529 + }, + { + "epoch": 0.87, + "learning_rate": 8.102263412282297e-07, + "loss": 0.7434, + "step": 5530 + }, + { + "epoch": 0.88, + "learning_rate": 8.082070579758072e-07, + "loss": 0.7531, + "step": 5531 + }, + { + "epoch": 0.88, + "learning_rate": 8.061901881680001e-07, + "loss": 0.7125, + "step": 5532 + }, + { + "epoch": 0.88, + "learning_rate": 8.041757323343635e-07, + "loss": 0.6631, + "step": 5533 + }, + { + "epoch": 0.88, + "learning_rate": 8.021636910038255e-07, + "loss": 0.7085, + "step": 5534 + }, + { + "epoch": 0.88, + "learning_rate": 8.001540647046768e-07, + "loss": 0.7397, + "step": 5535 + }, + { + "epoch": 0.88, + "learning_rate": 7.981468539645765e-07, + "loss": 0.6847, + "step": 5536 + }, + { + "epoch": 0.88, + "learning_rate": 7.961420593105462e-07, + "loss": 0.739, + "step": 5537 + }, + { + "epoch": 0.88, + "learning_rate": 7.941396812689772e-07, + "loss": 0.7108, + "step": 5538 + }, + { + "epoch": 0.88, + "learning_rate": 7.921397203656233e-07, + "loss": 0.6326, + "step": 5539 + }, + { + "epoch": 0.88, + "learning_rate": 7.901421771256046e-07, + "loss": 0.7275, + "step": 5540 + }, + { + "epoch": 0.88, + "learning_rate": 7.881470520734069e-07, + "loss": 0.6851, + "step": 5541 + }, + { + "epoch": 0.88, + "learning_rate": 7.86154345732879e-07, + "loss": 0.7073, + "step": 5542 + }, + { + "epoch": 0.88, + "learning_rate": 7.841640586272381e-07, + "loss": 0.7299, + "step": 5543 + }, + { + "epoch": 0.88, + "learning_rate": 7.821761912790604e-07, + "loss": 0.3058, + "step": 5544 + }, + { + "epoch": 0.88, + "learning_rate": 7.801907442102963e-07, + "loss": 0.687, + "step": 5545 + }, + { + "epoch": 0.88, + "learning_rate": 7.78207717942252e-07, + "loss": 0.2583, + "step": 5546 + }, + { + "epoch": 0.88, + "learning_rate": 7.762271129956023e-07, + "loss": 0.7396, + "step": 5547 + }, + { + "epoch": 0.88, + "learning_rate": 7.742489298903832e-07, + "loss": 0.7213, + "step": 5548 + }, + { + "epoch": 0.88, + "learning_rate": 7.722731691459994e-07, + "loss": 0.6743, + "step": 5549 + }, + { + "epoch": 0.88, + "learning_rate": 7.702998312812115e-07, + "loss": 0.7506, + "step": 5550 + }, + { + "epoch": 0.88, + "learning_rate": 7.68328916814155e-07, + "loss": 0.699, + "step": 5551 + }, + { + "epoch": 0.88, + "learning_rate": 7.663604262623214e-07, + "loss": 0.2363, + "step": 5552 + }, + { + "epoch": 0.88, + "learning_rate": 7.643943601425674e-07, + "loss": 0.7317, + "step": 5553 + }, + { + "epoch": 0.88, + "learning_rate": 7.624307189711144e-07, + "loss": 0.7146, + "step": 5554 + }, + { + "epoch": 0.88, + "learning_rate": 7.604695032635445e-07, + "loss": 0.644, + "step": 5555 + }, + { + "epoch": 0.88, + "learning_rate": 7.585107135348057e-07, + "loss": 0.672, + "step": 5556 + }, + { + "epoch": 0.88, + "learning_rate": 7.565543502992079e-07, + "loss": 0.7408, + "step": 5557 + }, + { + "epoch": 0.88, + "learning_rate": 7.546004140704222e-07, + "loss": 0.2654, + "step": 5558 + }, + { + "epoch": 0.88, + "learning_rate": 7.526489053614871e-07, + "loss": 0.746, + "step": 5559 + }, + { + "epoch": 0.88, + "learning_rate": 7.506998246847996e-07, + "loss": 0.7668, + "step": 5560 + }, + { + "epoch": 0.88, + "learning_rate": 7.487531725521224e-07, + "loss": 0.7217, + "step": 5561 + }, + { + "epoch": 0.88, + "learning_rate": 7.468089494745745e-07, + "loss": 0.7029, + "step": 5562 + }, + { + "epoch": 0.88, + "learning_rate": 7.44867155962643e-07, + "loss": 0.6772, + "step": 5563 + }, + { + "epoch": 0.88, + "learning_rate": 7.429277925261747e-07, + "loss": 0.6808, + "step": 5564 + }, + { + "epoch": 0.88, + "learning_rate": 7.409908596743797e-07, + "loss": 0.6523, + "step": 5565 + }, + { + "epoch": 0.88, + "learning_rate": 7.390563579158294e-07, + "loss": 0.6847, + "step": 5566 + }, + { + "epoch": 0.88, + "learning_rate": 7.371242877584561e-07, + "loss": 0.6807, + "step": 5567 + }, + { + "epoch": 0.88, + "learning_rate": 7.351946497095541e-07, + "loss": 0.7732, + "step": 5568 + }, + { + "epoch": 0.88, + "learning_rate": 7.332674442757792e-07, + "loss": 0.6639, + "step": 5569 + }, + { + "epoch": 0.88, + "learning_rate": 7.313426719631478e-07, + "loss": 0.7375, + "step": 5570 + }, + { + "epoch": 0.88, + "learning_rate": 7.294203332770389e-07, + "loss": 0.6702, + "step": 5571 + }, + { + "epoch": 0.88, + "learning_rate": 7.275004287221898e-07, + "loss": 0.7031, + "step": 5572 + }, + { + "epoch": 0.88, + "learning_rate": 7.255829588027053e-07, + "loss": 0.7197, + "step": 5573 + }, + { + "epoch": 0.88, + "learning_rate": 7.236679240220412e-07, + "loss": 0.6826, + "step": 5574 + }, + { + "epoch": 0.88, + "learning_rate": 7.217553248830211e-07, + "loss": 0.7349, + "step": 5575 + }, + { + "epoch": 0.88, + "learning_rate": 7.198451618878266e-07, + "loss": 0.7002, + "step": 5576 + }, + { + "epoch": 0.88, + "learning_rate": 7.179374355379997e-07, + "loss": 0.7163, + "step": 5577 + }, + { + "epoch": 0.88, + "learning_rate": 7.16032146334441e-07, + "loss": 0.6927, + "step": 5578 + }, + { + "epoch": 0.88, + "learning_rate": 7.14129294777417e-07, + "loss": 0.7634, + "step": 5579 + }, + { + "epoch": 0.88, + "learning_rate": 7.122288813665479e-07, + "loss": 0.7185, + "step": 5580 + }, + { + "epoch": 0.88, + "learning_rate": 7.103309066008169e-07, + "loss": 0.6593, + "step": 5581 + }, + { + "epoch": 0.88, + "learning_rate": 7.084353709785663e-07, + "loss": 0.7014, + "step": 5582 + }, + { + "epoch": 0.88, + "learning_rate": 7.065422749974959e-07, + "loss": 0.696, + "step": 5583 + }, + { + "epoch": 0.88, + "learning_rate": 7.046516191546693e-07, + "loss": 0.6888, + "step": 5584 + }, + { + "epoch": 0.88, + "learning_rate": 7.027634039465037e-07, + "loss": 0.6904, + "step": 5585 + }, + { + "epoch": 0.88, + "learning_rate": 7.008776298687814e-07, + "loss": 0.7185, + "step": 5586 + }, + { + "epoch": 0.88, + "learning_rate": 6.989942974166409e-07, + "loss": 0.6925, + "step": 5587 + }, + { + "epoch": 0.88, + "learning_rate": 6.971134070845775e-07, + "loss": 0.2525, + "step": 5588 + }, + { + "epoch": 0.88, + "learning_rate": 6.952349593664487e-07, + "loss": 0.647, + "step": 5589 + }, + { + "epoch": 0.88, + "learning_rate": 6.933589547554709e-07, + "loss": 0.7078, + "step": 5590 + }, + { + "epoch": 0.88, + "learning_rate": 6.914853937442134e-07, + "loss": 0.741, + "step": 5591 + }, + { + "epoch": 0.88, + "learning_rate": 6.896142768246128e-07, + "loss": 0.7367, + "step": 5592 + }, + { + "epoch": 0.88, + "learning_rate": 6.877456044879571e-07, + "loss": 0.6752, + "step": 5593 + }, + { + "epoch": 0.88, + "learning_rate": 6.858793772248951e-07, + "loss": 0.7026, + "step": 5594 + }, + { + "epoch": 0.89, + "learning_rate": 6.840155955254313e-07, + "loss": 0.7019, + "step": 5595 + }, + { + "epoch": 0.89, + "learning_rate": 6.821542598789343e-07, + "loss": 0.6863, + "step": 5596 + }, + { + "epoch": 0.89, + "learning_rate": 6.802953707741189e-07, + "loss": 0.5922, + "step": 5597 + }, + { + "epoch": 0.89, + "learning_rate": 6.784389286990711e-07, + "loss": 0.7441, + "step": 5598 + }, + { + "epoch": 0.89, + "learning_rate": 6.765849341412245e-07, + "loss": 0.7046, + "step": 5599 + }, + { + "epoch": 0.89, + "learning_rate": 6.74733387587374e-07, + "loss": 0.6736, + "step": 5600 + }, + { + "epoch": 0.89, + "learning_rate": 6.728842895236732e-07, + "loss": 0.2509, + "step": 5601 + }, + { + "epoch": 0.89, + "learning_rate": 6.710376404356278e-07, + "loss": 0.681, + "step": 5602 + }, + { + "epoch": 0.89, + "learning_rate": 6.691934408081058e-07, + "loss": 0.7361, + "step": 5603 + }, + { + "epoch": 0.89, + "learning_rate": 6.673516911253286e-07, + "loss": 0.2911, + "step": 5604 + }, + { + "epoch": 0.89, + "learning_rate": 6.65512391870875e-07, + "loss": 0.7051, + "step": 5605 + }, + { + "epoch": 0.89, + "learning_rate": 6.636755435276831e-07, + "loss": 0.7213, + "step": 5606 + }, + { + "epoch": 0.89, + "learning_rate": 6.618411465780439e-07, + "loss": 0.7292, + "step": 5607 + }, + { + "epoch": 0.89, + "learning_rate": 6.600092015036075e-07, + "loss": 0.7231, + "step": 5608 + }, + { + "epoch": 0.89, + "learning_rate": 6.581797087853758e-07, + "loss": 0.6841, + "step": 5609 + }, + { + "epoch": 0.89, + "learning_rate": 6.563526689037114e-07, + "loss": 0.7581, + "step": 5610 + }, + { + "epoch": 0.89, + "learning_rate": 6.545280823383316e-07, + "loss": 0.6749, + "step": 5611 + }, + { + "epoch": 0.89, + "learning_rate": 6.527059495683086e-07, + "loss": 0.7, + "step": 5612 + }, + { + "epoch": 0.89, + "learning_rate": 6.508862710720731e-07, + "loss": 0.6879, + "step": 5613 + }, + { + "epoch": 0.89, + "learning_rate": 6.490690473274075e-07, + "loss": 0.6765, + "step": 5614 + }, + { + "epoch": 0.89, + "learning_rate": 6.472542788114511e-07, + "loss": 0.738, + "step": 5615 + }, + { + "epoch": 0.89, + "learning_rate": 6.454419660007006e-07, + "loss": 0.7402, + "step": 5616 + }, + { + "epoch": 0.89, + "learning_rate": 6.436321093710041e-07, + "loss": 0.7385, + "step": 5617 + }, + { + "epoch": 0.89, + "learning_rate": 6.418247093975682e-07, + "loss": 0.7073, + "step": 5618 + }, + { + "epoch": 0.89, + "learning_rate": 6.400197665549512e-07, + "loss": 0.7205, + "step": 5619 + }, + { + "epoch": 0.89, + "learning_rate": 6.38217281317074e-07, + "loss": 0.6869, + "step": 5620 + }, + { + "epoch": 0.89, + "learning_rate": 6.364172541572e-07, + "loss": 0.6799, + "step": 5621 + }, + { + "epoch": 0.89, + "learning_rate": 6.346196855479559e-07, + "loss": 0.6857, + "step": 5622 + }, + { + "epoch": 0.89, + "learning_rate": 6.328245759613206e-07, + "loss": 0.7463, + "step": 5623 + }, + { + "epoch": 0.89, + "learning_rate": 6.310319258686281e-07, + "loss": 0.7114, + "step": 5624 + }, + { + "epoch": 0.89, + "learning_rate": 6.292417357405622e-07, + "loss": 0.7141, + "step": 5625 + }, + { + "epoch": 0.89, + "learning_rate": 6.274540060471701e-07, + "loss": 0.2911, + "step": 5626 + }, + { + "epoch": 0.89, + "learning_rate": 6.256687372578452e-07, + "loss": 0.6836, + "step": 5627 + }, + { + "epoch": 0.89, + "learning_rate": 6.238859298413347e-07, + "loss": 0.6696, + "step": 5628 + }, + { + "epoch": 0.89, + "learning_rate": 6.221055842657442e-07, + "loss": 0.7036, + "step": 5629 + }, + { + "epoch": 0.89, + "learning_rate": 6.203277009985298e-07, + "loss": 0.7137, + "step": 5630 + }, + { + "epoch": 0.89, + "learning_rate": 6.185522805065014e-07, + "loss": 0.7638, + "step": 5631 + }, + { + "epoch": 0.89, + "learning_rate": 6.167793232558228e-07, + "loss": 0.6827, + "step": 5632 + }, + { + "epoch": 0.89, + "learning_rate": 6.150088297120105e-07, + "loss": 0.6929, + "step": 5633 + }, + { + "epoch": 0.89, + "learning_rate": 6.132408003399349e-07, + "loss": 0.7264, + "step": 5634 + }, + { + "epoch": 0.89, + "learning_rate": 6.114752356038179e-07, + "loss": 0.6674, + "step": 5635 + }, + { + "epoch": 0.89, + "learning_rate": 6.097121359672365e-07, + "loss": 0.7014, + "step": 5636 + }, + { + "epoch": 0.89, + "learning_rate": 6.079515018931192e-07, + "loss": 0.7599, + "step": 5637 + }, + { + "epoch": 0.89, + "learning_rate": 6.061933338437464e-07, + "loss": 0.7406, + "step": 5638 + }, + { + "epoch": 0.89, + "learning_rate": 6.044376322807499e-07, + "loss": 0.7036, + "step": 5639 + }, + { + "epoch": 0.89, + "learning_rate": 6.026843976651209e-07, + "loss": 0.8101, + "step": 5640 + }, + { + "epoch": 0.89, + "learning_rate": 6.009336304571933e-07, + "loss": 0.7108, + "step": 5641 + }, + { + "epoch": 0.89, + "learning_rate": 5.991853311166606e-07, + "loss": 0.7229, + "step": 5642 + }, + { + "epoch": 0.89, + "learning_rate": 5.974395001025634e-07, + "loss": 0.6953, + "step": 5643 + }, + { + "epoch": 0.89, + "learning_rate": 5.956961378732973e-07, + "loss": 0.6998, + "step": 5644 + }, + { + "epoch": 0.89, + "learning_rate": 5.939552448866049e-07, + "loss": 0.7045, + "step": 5645 + }, + { + "epoch": 0.89, + "learning_rate": 5.922168215995883e-07, + "loss": 0.7415, + "step": 5646 + }, + { + "epoch": 0.89, + "learning_rate": 5.904808684686958e-07, + "loss": 0.7114, + "step": 5647 + }, + { + "epoch": 0.89, + "learning_rate": 5.887473859497284e-07, + "loss": 0.6586, + "step": 5648 + }, + { + "epoch": 0.89, + "learning_rate": 5.870163744978364e-07, + "loss": 0.7368, + "step": 5649 + }, + { + "epoch": 0.89, + "learning_rate": 5.85287834567525e-07, + "loss": 0.6864, + "step": 5650 + }, + { + "epoch": 0.89, + "learning_rate": 5.83561766612648e-07, + "loss": 0.7534, + "step": 5651 + }, + { + "epoch": 0.89, + "learning_rate": 5.818381710864096e-07, + "loss": 0.6764, + "step": 5652 + }, + { + "epoch": 0.89, + "learning_rate": 5.801170484413677e-07, + "loss": 0.7012, + "step": 5653 + }, + { + "epoch": 0.89, + "learning_rate": 5.783983991294284e-07, + "loss": 0.6794, + "step": 5654 + }, + { + "epoch": 0.89, + "learning_rate": 5.76682223601851e-07, + "loss": 0.6813, + "step": 5655 + }, + { + "epoch": 0.89, + "learning_rate": 5.749685223092405e-07, + "loss": 0.6975, + "step": 5656 + }, + { + "epoch": 0.89, + "learning_rate": 5.732572957015559e-07, + "loss": 0.6525, + "step": 5657 + }, + { + "epoch": 0.9, + "learning_rate": 5.715485442281043e-07, + "loss": 0.7144, + "step": 5658 + }, + { + "epoch": 0.9, + "learning_rate": 5.698422683375482e-07, + "loss": 0.7296, + "step": 5659 + }, + { + "epoch": 0.9, + "learning_rate": 5.681384684778935e-07, + "loss": 0.7133, + "step": 5660 + }, + { + "epoch": 0.9, + "learning_rate": 5.664371450964989e-07, + "loss": 0.748, + "step": 5661 + }, + { + "epoch": 0.9, + "learning_rate": 5.64738298640074e-07, + "loss": 0.724, + "step": 5662 + }, + { + "epoch": 0.9, + "learning_rate": 5.630419295546752e-07, + "loss": 0.6973, + "step": 5663 + }, + { + "epoch": 0.9, + "learning_rate": 5.613480382857106e-07, + "loss": 0.6929, + "step": 5664 + }, + { + "epoch": 0.9, + "learning_rate": 5.596566252779367e-07, + "loss": 0.7461, + "step": 5665 + }, + { + "epoch": 0.9, + "learning_rate": 5.579676909754583e-07, + "loss": 0.6558, + "step": 5666 + }, + { + "epoch": 0.9, + "learning_rate": 5.562812358217351e-07, + "loss": 0.7368, + "step": 5667 + }, + { + "epoch": 0.9, + "learning_rate": 5.545972602595673e-07, + "loss": 0.7039, + "step": 5668 + }, + { + "epoch": 0.9, + "learning_rate": 5.52915764731109e-07, + "loss": 0.7068, + "step": 5669 + }, + { + "epoch": 0.9, + "learning_rate": 5.512367496778637e-07, + "loss": 0.7134, + "step": 5670 + }, + { + "epoch": 0.9, + "learning_rate": 5.495602155406799e-07, + "loss": 0.6988, + "step": 5671 + }, + { + "epoch": 0.9, + "learning_rate": 5.478861627597587e-07, + "loss": 0.7533, + "step": 5672 + }, + { + "epoch": 0.9, + "learning_rate": 5.462145917746486e-07, + "loss": 0.7231, + "step": 5673 + }, + { + "epoch": 0.9, + "learning_rate": 5.445455030242453e-07, + "loss": 0.7357, + "step": 5674 + }, + { + "epoch": 0.9, + "learning_rate": 5.428788969467935e-07, + "loss": 0.6832, + "step": 5675 + }, + { + "epoch": 0.9, + "learning_rate": 5.412147739798856e-07, + "loss": 0.7385, + "step": 5676 + }, + { + "epoch": 0.9, + "learning_rate": 5.395531345604621e-07, + "loss": 0.7195, + "step": 5677 + }, + { + "epoch": 0.9, + "learning_rate": 5.378939791248128e-07, + "loss": 0.7053, + "step": 5678 + }, + { + "epoch": 0.9, + "learning_rate": 5.362373081085725e-07, + "loss": 0.6609, + "step": 5679 + }, + { + "epoch": 0.9, + "learning_rate": 5.345831219467257e-07, + "loss": 0.6444, + "step": 5680 + }, + { + "epoch": 0.9, + "learning_rate": 5.329314210736047e-07, + "loss": 0.6953, + "step": 5681 + }, + { + "epoch": 0.9, + "learning_rate": 5.312822059228884e-07, + "loss": 0.6975, + "step": 5682 + }, + { + "epoch": 0.9, + "learning_rate": 5.296354769276035e-07, + "loss": 0.6831, + "step": 5683 + }, + { + "epoch": 0.9, + "learning_rate": 5.279912345201221e-07, + "loss": 0.7153, + "step": 5684 + }, + { + "epoch": 0.9, + "learning_rate": 5.263494791321677e-07, + "loss": 0.7609, + "step": 5685 + }, + { + "epoch": 0.9, + "learning_rate": 5.247102111948044e-07, + "loss": 0.696, + "step": 5686 + }, + { + "epoch": 0.9, + "learning_rate": 5.2307343113845e-07, + "loss": 0.7229, + "step": 5687 + }, + { + "epoch": 0.9, + "learning_rate": 5.214391393928653e-07, + "loss": 0.7421, + "step": 5688 + }, + { + "epoch": 0.9, + "learning_rate": 5.198073363871581e-07, + "loss": 0.6854, + "step": 5689 + }, + { + "epoch": 0.9, + "learning_rate": 5.181780225497834e-07, + "loss": 0.7208, + "step": 5690 + }, + { + "epoch": 0.9, + "learning_rate": 5.165511983085425e-07, + "loss": 0.7391, + "step": 5691 + }, + { + "epoch": 0.9, + "learning_rate": 5.149268640905791e-07, + "loss": 0.6674, + "step": 5692 + }, + { + "epoch": 0.9, + "learning_rate": 5.133050203223922e-07, + "loss": 0.7032, + "step": 5693 + }, + { + "epoch": 0.9, + "learning_rate": 5.116856674298177e-07, + "loss": 0.7175, + "step": 5694 + }, + { + "epoch": 0.9, + "learning_rate": 5.100688058380432e-07, + "loss": 0.7087, + "step": 5695 + }, + { + "epoch": 0.9, + "learning_rate": 5.084544359715993e-07, + "loss": 0.694, + "step": 5696 + }, + { + "epoch": 0.9, + "learning_rate": 5.068425582543646e-07, + "loss": 0.7488, + "step": 5697 + }, + { + "epoch": 0.9, + "learning_rate": 5.052331731095595e-07, + "loss": 0.7053, + "step": 5698 + }, + { + "epoch": 0.9, + "learning_rate": 5.036262809597536e-07, + "loss": 0.6759, + "step": 5699 + }, + { + "epoch": 0.9, + "learning_rate": 5.020218822268619e-07, + "loss": 0.6698, + "step": 5700 + }, + { + "epoch": 0.9, + "learning_rate": 5.004199773321439e-07, + "loss": 0.6985, + "step": 5701 + }, + { + "epoch": 0.9, + "learning_rate": 4.988205666962021e-07, + "loss": 0.6997, + "step": 5702 + }, + { + "epoch": 0.9, + "learning_rate": 4.972236507389893e-07, + "loss": 0.7432, + "step": 5703 + }, + { + "epoch": 0.9, + "learning_rate": 4.956292298797949e-07, + "loss": 0.2819, + "step": 5704 + }, + { + "epoch": 0.9, + "learning_rate": 4.940373045372604e-07, + "loss": 0.7388, + "step": 5705 + }, + { + "epoch": 0.9, + "learning_rate": 4.924478751293715e-07, + "loss": 0.6432, + "step": 5706 + }, + { + "epoch": 0.9, + "learning_rate": 4.908609420734567e-07, + "loss": 0.7463, + "step": 5707 + }, + { + "epoch": 0.9, + "learning_rate": 4.892765057861882e-07, + "loss": 0.6898, + "step": 5708 + }, + { + "epoch": 0.9, + "learning_rate": 4.876945666835842e-07, + "loss": 0.6567, + "step": 5709 + }, + { + "epoch": 0.9, + "learning_rate": 4.86115125181007e-07, + "loss": 0.6897, + "step": 5710 + }, + { + "epoch": 0.9, + "learning_rate": 4.845381816931627e-07, + "loss": 0.6581, + "step": 5711 + }, + { + "epoch": 0.9, + "learning_rate": 4.829637366341022e-07, + "loss": 0.7512, + "step": 5712 + }, + { + "epoch": 0.9, + "learning_rate": 4.813917904172183e-07, + "loss": 0.7228, + "step": 5713 + }, + { + "epoch": 0.9, + "learning_rate": 4.798223434552518e-07, + "loss": 0.7581, + "step": 5714 + }, + { + "epoch": 0.9, + "learning_rate": 4.782553961602831e-07, + "loss": 0.7666, + "step": 5715 + }, + { + "epoch": 0.9, + "learning_rate": 4.766909489437388e-07, + "loss": 0.7483, + "step": 5716 + }, + { + "epoch": 0.9, + "learning_rate": 4.7512900221638793e-07, + "loss": 0.7041, + "step": 5717 + }, + { + "epoch": 0.9, + "learning_rate": 4.735695563883425e-07, + "loss": 0.6901, + "step": 5718 + }, + { + "epoch": 0.9, + "learning_rate": 4.7201261186905824e-07, + "loss": 0.6876, + "step": 5719 + }, + { + "epoch": 0.9, + "learning_rate": 4.70458169067336e-07, + "loss": 0.6615, + "step": 5720 + }, + { + "epoch": 0.91, + "learning_rate": 4.689062283913193e-07, + "loss": 0.7556, + "step": 5721 + }, + { + "epoch": 0.91, + "learning_rate": 4.673567902484921e-07, + "loss": 0.7573, + "step": 5722 + }, + { + "epoch": 0.91, + "learning_rate": 4.658098550456824e-07, + "loss": 0.7271, + "step": 5723 + }, + { + "epoch": 0.91, + "learning_rate": 4.642654231890631e-07, + "loss": 0.2371, + "step": 5724 + }, + { + "epoch": 0.91, + "learning_rate": 4.627234950841464e-07, + "loss": 0.6902, + "step": 5725 + }, + { + "epoch": 0.91, + "learning_rate": 4.6118407113579066e-07, + "loss": 0.7081, + "step": 5726 + }, + { + "epoch": 0.91, + "learning_rate": 4.5964715174819374e-07, + "loss": 0.7255, + "step": 5727 + }, + { + "epoch": 0.91, + "learning_rate": 4.581127373248984e-07, + "loss": 0.7319, + "step": 5728 + }, + { + "epoch": 0.91, + "learning_rate": 4.565808282687867e-07, + "loss": 0.7646, + "step": 5729 + }, + { + "epoch": 0.91, + "learning_rate": 4.5505142498208475e-07, + "loss": 0.674, + "step": 5730 + }, + { + "epoch": 0.91, + "learning_rate": 4.5352452786636246e-07, + "loss": 0.7515, + "step": 5731 + }, + { + "epoch": 0.91, + "learning_rate": 4.52000137322528e-07, + "loss": 0.7354, + "step": 5732 + }, + { + "epoch": 0.91, + "learning_rate": 4.504782537508323e-07, + "loss": 0.7185, + "step": 5733 + }, + { + "epoch": 0.91, + "learning_rate": 4.489588775508724e-07, + "loss": 0.681, + "step": 5734 + }, + { + "epoch": 0.91, + "learning_rate": 4.4744200912158144e-07, + "loss": 0.7471, + "step": 5735 + }, + { + "epoch": 0.91, + "learning_rate": 4.459276488612374e-07, + "loss": 0.6951, + "step": 5736 + }, + { + "epoch": 0.91, + "learning_rate": 4.444157971674568e-07, + "loss": 0.6875, + "step": 5737 + }, + { + "epoch": 0.91, + "learning_rate": 4.429064544372008e-07, + "loss": 0.734, + "step": 5738 + }, + { + "epoch": 0.91, + "learning_rate": 4.41399621066767e-07, + "loss": 0.7264, + "step": 5739 + }, + { + "epoch": 0.91, + "learning_rate": 4.3989529745180113e-07, + "loss": 0.6758, + "step": 5740 + }, + { + "epoch": 0.91, + "learning_rate": 4.3839348398728607e-07, + "loss": 0.7529, + "step": 5741 + }, + { + "epoch": 0.91, + "learning_rate": 4.368941810675431e-07, + "loss": 0.7017, + "step": 5742 + }, + { + "epoch": 0.91, + "learning_rate": 4.3539738908623844e-07, + "loss": 0.7803, + "step": 5743 + }, + { + "epoch": 0.91, + "learning_rate": 4.339031084363776e-07, + "loss": 0.7393, + "step": 5744 + }, + { + "epoch": 0.91, + "learning_rate": 4.324113395103069e-07, + "loss": 0.761, + "step": 5745 + }, + { + "epoch": 0.91, + "learning_rate": 4.309220826997096e-07, + "loss": 0.7488, + "step": 5746 + }, + { + "epoch": 0.91, + "learning_rate": 4.294353383956185e-07, + "loss": 0.7126, + "step": 5747 + }, + { + "epoch": 0.91, + "learning_rate": 4.279511069883968e-07, + "loss": 0.6917, + "step": 5748 + }, + { + "epoch": 0.91, + "learning_rate": 4.264693888677529e-07, + "loss": 0.7009, + "step": 5749 + }, + { + "epoch": 0.91, + "learning_rate": 4.2499018442273665e-07, + "loss": 0.7283, + "step": 5750 + }, + { + "epoch": 0.91, + "learning_rate": 4.235134940417307e-07, + "loss": 0.6757, + "step": 5751 + }, + { + "epoch": 0.91, + "learning_rate": 4.220393181124649e-07, + "loss": 0.6992, + "step": 5752 + }, + { + "epoch": 0.91, + "learning_rate": 4.2056765702200855e-07, + "loss": 0.7306, + "step": 5753 + }, + { + "epoch": 0.91, + "learning_rate": 4.190985111567658e-07, + "loss": 0.714, + "step": 5754 + }, + { + "epoch": 0.91, + "learning_rate": 4.1763188090248486e-07, + "loss": 0.7418, + "step": 5755 + }, + { + "epoch": 0.91, + "learning_rate": 4.1616776664424987e-07, + "loss": 0.6895, + "step": 5756 + }, + { + "epoch": 0.91, + "learning_rate": 4.1470616876648886e-07, + "loss": 0.6998, + "step": 5757 + }, + { + "epoch": 0.91, + "learning_rate": 4.1324708765296483e-07, + "loss": 0.7429, + "step": 5758 + }, + { + "epoch": 0.91, + "learning_rate": 4.117905236867814e-07, + "loss": 0.7144, + "step": 5759 + }, + { + "epoch": 0.91, + "learning_rate": 4.103364772503804e-07, + "loss": 0.7231, + "step": 5760 + }, + { + "epoch": 0.91, + "learning_rate": 4.088849487255486e-07, + "loss": 0.6709, + "step": 5761 + }, + { + "epoch": 0.91, + "learning_rate": 4.0743593849340234e-07, + "loss": 0.7393, + "step": 5762 + }, + { + "epoch": 0.91, + "learning_rate": 4.059894469344028e-07, + "loss": 0.7455, + "step": 5763 + }, + { + "epoch": 0.91, + "learning_rate": 4.0454547442834726e-07, + "loss": 0.6914, + "step": 5764 + }, + { + "epoch": 0.91, + "learning_rate": 4.031040213543735e-07, + "loss": 0.6788, + "step": 5765 + }, + { + "epoch": 0.91, + "learning_rate": 4.016650880909556e-07, + "loss": 0.7302, + "step": 5766 + }, + { + "epoch": 0.91, + "learning_rate": 4.0022867501591013e-07, + "loss": 0.718, + "step": 5767 + }, + { + "epoch": 0.91, + "learning_rate": 3.987947825063865e-07, + "loss": 0.67, + "step": 5768 + }, + { + "epoch": 0.91, + "learning_rate": 3.973634109388769e-07, + "loss": 0.7085, + "step": 5769 + }, + { + "epoch": 0.91, + "learning_rate": 3.959345606892073e-07, + "loss": 0.2776, + "step": 5770 + }, + { + "epoch": 0.91, + "learning_rate": 3.945082321325466e-07, + "loss": 0.7654, + "step": 5771 + }, + { + "epoch": 0.91, + "learning_rate": 3.930844256433963e-07, + "loss": 0.7305, + "step": 5772 + }, + { + "epoch": 0.91, + "learning_rate": 3.916631415956007e-07, + "loss": 0.6636, + "step": 5773 + }, + { + "epoch": 0.91, + "learning_rate": 3.902443803623379e-07, + "loss": 0.7261, + "step": 5774 + }, + { + "epoch": 0.91, + "learning_rate": 3.888281423161266e-07, + "loss": 0.7013, + "step": 5775 + }, + { + "epoch": 0.91, + "learning_rate": 3.8741442782882054e-07, + "loss": 0.7341, + "step": 5776 + }, + { + "epoch": 0.91, + "learning_rate": 3.860032372716116e-07, + "loss": 0.6721, + "step": 5777 + }, + { + "epoch": 0.91, + "learning_rate": 3.8459457101503006e-07, + "loss": 0.7015, + "step": 5778 + }, + { + "epoch": 0.91, + "learning_rate": 3.831884294289423e-07, + "loss": 0.7329, + "step": 5779 + }, + { + "epoch": 0.91, + "learning_rate": 3.8178481288255074e-07, + "loss": 0.7771, + "step": 5780 + }, + { + "epoch": 0.91, + "learning_rate": 3.803837217443995e-07, + "loss": 0.7769, + "step": 5781 + }, + { + "epoch": 0.91, + "learning_rate": 3.789851563823643e-07, + "loss": 0.7511, + "step": 5782 + }, + { + "epoch": 0.91, + "learning_rate": 3.775891171636592e-07, + "loss": 0.7123, + "step": 5783 + }, + { + "epoch": 0.92, + "learning_rate": 3.761956044548365e-07, + "loss": 0.7231, + "step": 5784 + }, + { + "epoch": 0.92, + "learning_rate": 3.748046186217846e-07, + "loss": 0.6316, + "step": 5785 + }, + { + "epoch": 0.92, + "learning_rate": 3.734161600297237e-07, + "loss": 0.6976, + "step": 5786 + }, + { + "epoch": 0.92, + "learning_rate": 3.720302290432198e-07, + "loss": 0.2693, + "step": 5787 + }, + { + "epoch": 0.92, + "learning_rate": 3.7064682602616863e-07, + "loss": 0.7546, + "step": 5788 + }, + { + "epoch": 0.92, + "learning_rate": 3.692659513418029e-07, + "loss": 0.7203, + "step": 5789 + }, + { + "epoch": 0.92, + "learning_rate": 3.6788760535269254e-07, + "loss": 0.7371, + "step": 5790 + }, + { + "epoch": 0.92, + "learning_rate": 3.6651178842074365e-07, + "loss": 0.7126, + "step": 5791 + }, + { + "epoch": 0.92, + "learning_rate": 3.6513850090719617e-07, + "loss": 0.6862, + "step": 5792 + }, + { + "epoch": 0.92, + "learning_rate": 3.6376774317262944e-07, + "loss": 0.7397, + "step": 5793 + }, + { + "epoch": 0.92, + "learning_rate": 3.6239951557695554e-07, + "loss": 0.7126, + "step": 5794 + }, + { + "epoch": 0.92, + "learning_rate": 3.6103381847942375e-07, + "loss": 0.6882, + "step": 5795 + }, + { + "epoch": 0.92, + "learning_rate": 3.596706522386184e-07, + "loss": 0.752, + "step": 5796 + }, + { + "epoch": 0.92, + "learning_rate": 3.5831001721246206e-07, + "loss": 0.6481, + "step": 5797 + }, + { + "epoch": 0.92, + "learning_rate": 3.569519137582056e-07, + "loss": 0.7664, + "step": 5798 + }, + { + "epoch": 0.92, + "learning_rate": 3.555963422324427e-07, + "loss": 0.748, + "step": 5799 + }, + { + "epoch": 0.92, + "learning_rate": 3.5424330299109635e-07, + "loss": 0.6592, + "step": 5800 + }, + { + "epoch": 0.92, + "learning_rate": 3.528927963894302e-07, + "loss": 0.7178, + "step": 5801 + }, + { + "epoch": 0.92, + "learning_rate": 3.515448227820406e-07, + "loss": 0.7166, + "step": 5802 + }, + { + "epoch": 0.92, + "learning_rate": 3.501993825228567e-07, + "loss": 0.7048, + "step": 5803 + }, + { + "epoch": 0.92, + "learning_rate": 3.488564759651447e-07, + "loss": 0.7954, + "step": 5804 + }, + { + "epoch": 0.92, + "learning_rate": 3.4751610346150487e-07, + "loss": 0.6227, + "step": 5805 + }, + { + "epoch": 0.92, + "learning_rate": 3.4617826536387344e-07, + "loss": 0.6936, + "step": 5806 + }, + { + "epoch": 0.92, + "learning_rate": 3.448429620235183e-07, + "loss": 0.7609, + "step": 5807 + }, + { + "epoch": 0.92, + "learning_rate": 3.4351019379104565e-07, + "loss": 0.6959, + "step": 5808 + }, + { + "epoch": 0.92, + "learning_rate": 3.421799610163945e-07, + "loss": 0.7256, + "step": 5809 + }, + { + "epoch": 0.92, + "learning_rate": 3.408522640488343e-07, + "loss": 0.6765, + "step": 5810 + }, + { + "epoch": 0.92, + "learning_rate": 3.3952710323697403e-07, + "loss": 0.7666, + "step": 5811 + }, + { + "epoch": 0.92, + "learning_rate": 3.382044789287553e-07, + "loss": 0.6783, + "step": 5812 + }, + { + "epoch": 0.92, + "learning_rate": 3.3688439147145036e-07, + "loss": 0.731, + "step": 5813 + }, + { + "epoch": 0.92, + "learning_rate": 3.3556684121167195e-07, + "loss": 0.6941, + "step": 5814 + }, + { + "epoch": 0.92, + "learning_rate": 3.342518284953611e-07, + "loss": 0.7273, + "step": 5815 + }, + { + "epoch": 0.92, + "learning_rate": 3.3293935366779495e-07, + "loss": 0.7358, + "step": 5816 + }, + { + "epoch": 0.92, + "learning_rate": 3.316294170735823e-07, + "loss": 0.7235, + "step": 5817 + }, + { + "epoch": 0.92, + "learning_rate": 3.3032201905666807e-07, + "loss": 0.7639, + "step": 5818 + }, + { + "epoch": 0.92, + "learning_rate": 3.2901715996032867e-07, + "loss": 0.7329, + "step": 5819 + }, + { + "epoch": 0.92, + "learning_rate": 3.277148401271757e-07, + "loss": 0.7195, + "step": 5820 + }, + { + "epoch": 0.92, + "learning_rate": 3.264150598991522e-07, + "loss": 0.6626, + "step": 5821 + }, + { + "epoch": 0.92, + "learning_rate": 3.251178196175353e-07, + "loss": 0.7634, + "step": 5822 + }, + { + "epoch": 0.92, + "learning_rate": 3.2382311962293575e-07, + "loss": 0.6963, + "step": 5823 + }, + { + "epoch": 0.92, + "learning_rate": 3.2253096025529505e-07, + "loss": 0.6938, + "step": 5824 + }, + { + "epoch": 0.92, + "learning_rate": 3.2124134185389066e-07, + "loss": 0.6895, + "step": 5825 + }, + { + "epoch": 0.92, + "learning_rate": 3.199542647573317e-07, + "loss": 0.7617, + "step": 5826 + }, + { + "epoch": 0.92, + "learning_rate": 3.1866972930355676e-07, + "loss": 0.6696, + "step": 5827 + }, + { + "epoch": 0.92, + "learning_rate": 3.1738773582984384e-07, + "loss": 0.723, + "step": 5828 + }, + { + "epoch": 0.92, + "learning_rate": 3.161082846727992e-07, + "loss": 0.6954, + "step": 5829 + }, + { + "epoch": 0.92, + "learning_rate": 3.148313761683608e-07, + "loss": 0.7294, + "step": 5830 + }, + { + "epoch": 0.92, + "learning_rate": 3.1355701065180045e-07, + "loss": 0.701, + "step": 5831 + }, + { + "epoch": 0.92, + "learning_rate": 3.122851884577238e-07, + "loss": 0.6978, + "step": 5832 + }, + { + "epoch": 0.92, + "learning_rate": 3.110159099200638e-07, + "loss": 0.658, + "step": 5833 + }, + { + "epoch": 0.92, + "learning_rate": 3.0974917537209157e-07, + "loss": 0.7563, + "step": 5834 + }, + { + "epoch": 0.92, + "learning_rate": 3.084849851464067e-07, + "loss": 0.7327, + "step": 5835 + }, + { + "epoch": 0.92, + "learning_rate": 3.072233395749424e-07, + "loss": 0.6917, + "step": 5836 + }, + { + "epoch": 0.92, + "learning_rate": 3.0596423898896056e-07, + "loss": 0.7598, + "step": 5837 + }, + { + "epoch": 0.92, + "learning_rate": 3.047076837190588e-07, + "loss": 0.6879, + "step": 5838 + }, + { + "epoch": 0.92, + "learning_rate": 3.0345367409516544e-07, + "loss": 0.7411, + "step": 5839 + }, + { + "epoch": 0.92, + "learning_rate": 3.022022104465372e-07, + "loss": 0.6462, + "step": 5840 + }, + { + "epoch": 0.92, + "learning_rate": 3.009532931017667e-07, + "loss": 0.6978, + "step": 5841 + }, + { + "epoch": 0.92, + "learning_rate": 2.997069223887761e-07, + "loss": 0.7532, + "step": 5842 + }, + { + "epoch": 0.92, + "learning_rate": 2.9846309863481806e-07, + "loss": 0.7053, + "step": 5843 + }, + { + "epoch": 0.92, + "learning_rate": 2.972218221664802e-07, + "loss": 0.6726, + "step": 5844 + }, + { + "epoch": 0.92, + "learning_rate": 2.959830933096741e-07, + "loss": 0.255, + "step": 5845 + }, + { + "epoch": 0.92, + "learning_rate": 2.947469123896496e-07, + "loss": 0.6669, + "step": 5846 + }, + { + "epoch": 0.93, + "learning_rate": 2.935132797309825e-07, + "loss": 0.6324, + "step": 5847 + }, + { + "epoch": 0.93, + "learning_rate": 2.9228219565758496e-07, + "loss": 0.6246, + "step": 5848 + }, + { + "epoch": 0.93, + "learning_rate": 2.910536604926939e-07, + "loss": 0.7036, + "step": 5849 + }, + { + "epoch": 0.93, + "learning_rate": 2.8982767455888237e-07, + "loss": 0.6346, + "step": 5850 + }, + { + "epoch": 0.93, + "learning_rate": 2.886042381780496e-07, + "loss": 0.7921, + "step": 5851 + }, + { + "epoch": 0.93, + "learning_rate": 2.873833516714286e-07, + "loss": 0.6797, + "step": 5852 + }, + { + "epoch": 0.93, + "learning_rate": 2.8616501535958073e-07, + "loss": 0.2538, + "step": 5853 + }, + { + "epoch": 0.93, + "learning_rate": 2.849492295623979e-07, + "loss": 0.6737, + "step": 5854 + }, + { + "epoch": 0.93, + "learning_rate": 2.837359945991047e-07, + "loss": 0.257, + "step": 5855 + }, + { + "epoch": 0.93, + "learning_rate": 2.825253107882553e-07, + "loss": 0.7664, + "step": 5856 + }, + { + "epoch": 0.93, + "learning_rate": 2.813171784477309e-07, + "loss": 0.6803, + "step": 5857 + }, + { + "epoch": 0.93, + "learning_rate": 2.8011159789474553e-07, + "loss": 0.2797, + "step": 5858 + }, + { + "epoch": 0.93, + "learning_rate": 2.7890856944584267e-07, + "loss": 0.7, + "step": 5859 + }, + { + "epoch": 0.93, + "learning_rate": 2.777080934168952e-07, + "loss": 0.7173, + "step": 5860 + }, + { + "epoch": 0.93, + "learning_rate": 2.765101701231077e-07, + "loss": 0.7324, + "step": 5861 + }, + { + "epoch": 0.93, + "learning_rate": 2.753147998790129e-07, + "loss": 0.7188, + "step": 5862 + }, + { + "epoch": 0.93, + "learning_rate": 2.74121982998472e-07, + "loss": 0.7261, + "step": 5863 + }, + { + "epoch": 0.93, + "learning_rate": 2.7293171979467793e-07, + "loss": 0.7141, + "step": 5864 + }, + { + "epoch": 0.93, + "learning_rate": 2.717440105801539e-07, + "loss": 0.6941, + "step": 5865 + }, + { + "epoch": 0.93, + "learning_rate": 2.705588556667482e-07, + "loss": 0.6877, + "step": 5866 + }, + { + "epoch": 0.93, + "learning_rate": 2.6937625536564206e-07, + "loss": 0.7661, + "step": 5867 + }, + { + "epoch": 0.93, + "learning_rate": 2.6819620998734696e-07, + "loss": 0.7316, + "step": 5868 + }, + { + "epoch": 0.93, + "learning_rate": 2.670187198416996e-07, + "loss": 0.7349, + "step": 5869 + }, + { + "epoch": 0.93, + "learning_rate": 2.6584378523786816e-07, + "loss": 0.7322, + "step": 5870 + }, + { + "epoch": 0.93, + "learning_rate": 2.646714064843503e-07, + "loss": 0.7045, + "step": 5871 + }, + { + "epoch": 0.93, + "learning_rate": 2.6350158388897095e-07, + "loss": 0.6914, + "step": 5872 + }, + { + "epoch": 0.93, + "learning_rate": 2.623343177588866e-07, + "loss": 0.7615, + "step": 5873 + }, + { + "epoch": 0.93, + "learning_rate": 2.611696084005777e-07, + "loss": 0.6979, + "step": 5874 + }, + { + "epoch": 0.93, + "learning_rate": 2.6000745611985844e-07, + "loss": 0.6912, + "step": 5875 + }, + { + "epoch": 0.93, + "learning_rate": 2.588478612218692e-07, + "loss": 0.7026, + "step": 5876 + }, + { + "epoch": 0.93, + "learning_rate": 2.576908240110798e-07, + "loss": 0.6547, + "step": 5877 + }, + { + "epoch": 0.93, + "learning_rate": 2.565363447912872e-07, + "loss": 0.6921, + "step": 5878 + }, + { + "epoch": 0.93, + "learning_rate": 2.553844238656189e-07, + "loss": 0.6802, + "step": 5879 + }, + { + "epoch": 0.93, + "learning_rate": 2.542350615365241e-07, + "loss": 0.7299, + "step": 5880 + }, + { + "epoch": 0.93, + "learning_rate": 2.5308825810579143e-07, + "loss": 0.7349, + "step": 5881 + }, + { + "epoch": 0.93, + "learning_rate": 2.519440138745288e-07, + "loss": 0.7104, + "step": 5882 + }, + { + "epoch": 0.93, + "learning_rate": 2.508023291431749e-07, + "loss": 0.6372, + "step": 5883 + }, + { + "epoch": 0.93, + "learning_rate": 2.496632042114966e-07, + "loss": 0.7493, + "step": 5884 + }, + { + "epoch": 0.93, + "learning_rate": 2.485266393785879e-07, + "loss": 0.7053, + "step": 5885 + }, + { + "epoch": 0.93, + "learning_rate": 2.4739263494287236e-07, + "loss": 0.7374, + "step": 5886 + }, + { + "epoch": 0.93, + "learning_rate": 2.462611912020996e-07, + "loss": 0.7427, + "step": 5887 + }, + { + "epoch": 0.93, + "learning_rate": 2.4513230845334525e-07, + "loss": 0.691, + "step": 5888 + }, + { + "epoch": 0.93, + "learning_rate": 2.4400598699301783e-07, + "loss": 0.7114, + "step": 5889 + }, + { + "epoch": 0.93, + "learning_rate": 2.428822271168496e-07, + "loss": 0.6674, + "step": 5890 + }, + { + "epoch": 0.93, + "learning_rate": 2.417610291198991e-07, + "loss": 0.5968, + "step": 5891 + }, + { + "epoch": 0.93, + "learning_rate": 2.4064239329655514e-07, + "loss": 0.7014, + "step": 5892 + }, + { + "epoch": 0.93, + "learning_rate": 2.395263199405307e-07, + "loss": 0.6926, + "step": 5893 + }, + { + "epoch": 0.93, + "learning_rate": 2.38412809344869e-07, + "loss": 0.7114, + "step": 5894 + }, + { + "epoch": 0.93, + "learning_rate": 2.373018618019396e-07, + "loss": 0.749, + "step": 5895 + }, + { + "epoch": 0.93, + "learning_rate": 2.3619347760343915e-07, + "loss": 0.7463, + "step": 5896 + }, + { + "epoch": 0.93, + "learning_rate": 2.3508765704038928e-07, + "loss": 0.7776, + "step": 5897 + }, + { + "epoch": 0.93, + "learning_rate": 2.3398440040313997e-07, + "loss": 0.6478, + "step": 5898 + }, + { + "epoch": 0.93, + "learning_rate": 2.3288370798136838e-07, + "loss": 0.6422, + "step": 5899 + }, + { + "epoch": 0.93, + "learning_rate": 2.317855800640789e-07, + "loss": 0.6735, + "step": 5900 + }, + { + "epoch": 0.93, + "learning_rate": 2.306900169395998e-07, + "loss": 0.6927, + "step": 5901 + }, + { + "epoch": 0.93, + "learning_rate": 2.2959701889558871e-07, + "loss": 0.7295, + "step": 5902 + }, + { + "epoch": 0.93, + "learning_rate": 2.2850658621903055e-07, + "loss": 0.6631, + "step": 5903 + }, + { + "epoch": 0.93, + "learning_rate": 2.2741871919623294e-07, + "loss": 0.7473, + "step": 5904 + }, + { + "epoch": 0.93, + "learning_rate": 2.2633341811283183e-07, + "loss": 0.7, + "step": 5905 + }, + { + "epoch": 0.93, + "learning_rate": 2.252506832537904e-07, + "loss": 0.6215, + "step": 5906 + }, + { + "epoch": 0.93, + "learning_rate": 2.2417051490339459e-07, + "loss": 0.7157, + "step": 5907 + }, + { + "epoch": 0.93, + "learning_rate": 2.2309291334526307e-07, + "loss": 0.7273, + "step": 5908 + }, + { + "epoch": 0.93, + "learning_rate": 2.2201787886233394e-07, + "loss": 0.7112, + "step": 5909 + }, + { + "epoch": 0.93, + "learning_rate": 2.2094541173687478e-07, + "loss": 0.7144, + "step": 5910 + }, + { + "epoch": 0.94, + "learning_rate": 2.19875512250477e-07, + "loss": 0.7351, + "step": 5911 + }, + { + "epoch": 0.94, + "learning_rate": 2.188081806840603e-07, + "loss": 0.7384, + "step": 5912 + }, + { + "epoch": 0.94, + "learning_rate": 2.177434173178672e-07, + "loss": 0.6919, + "step": 5913 + }, + { + "epoch": 0.94, + "learning_rate": 2.166812224314685e-07, + "loss": 0.6523, + "step": 5914 + }, + { + "epoch": 0.94, + "learning_rate": 2.156215963037589e-07, + "loss": 0.7483, + "step": 5915 + }, + { + "epoch": 0.94, + "learning_rate": 2.1456453921296027e-07, + "loss": 0.6863, + "step": 5916 + }, + { + "epoch": 0.94, + "learning_rate": 2.1351005143661842e-07, + "loss": 0.6566, + "step": 5917 + }, + { + "epoch": 0.94, + "learning_rate": 2.1245813325160514e-07, + "loss": 0.77, + "step": 5918 + }, + { + "epoch": 0.94, + "learning_rate": 2.1140878493411844e-07, + "loss": 0.7134, + "step": 5919 + }, + { + "epoch": 0.94, + "learning_rate": 2.10362006759679e-07, + "loss": 0.7336, + "step": 5920 + }, + { + "epoch": 0.94, + "learning_rate": 2.0931779900313366e-07, + "loss": 0.7119, + "step": 5921 + }, + { + "epoch": 0.94, + "learning_rate": 2.0827616193865751e-07, + "loss": 0.7026, + "step": 5922 + }, + { + "epoch": 0.94, + "learning_rate": 2.0723709583974626e-07, + "loss": 0.7449, + "step": 5923 + }, + { + "epoch": 0.94, + "learning_rate": 2.0620060097922389e-07, + "loss": 0.762, + "step": 5924 + }, + { + "epoch": 0.94, + "learning_rate": 2.0516667762923713e-07, + "loss": 0.7238, + "step": 5925 + }, + { + "epoch": 0.94, + "learning_rate": 2.0413532606125886e-07, + "loss": 0.7207, + "step": 5926 + }, + { + "epoch": 0.94, + "learning_rate": 2.0310654654608464e-07, + "loss": 0.7058, + "step": 5927 + }, + { + "epoch": 0.94, + "learning_rate": 2.020803393538373e-07, + "loss": 0.7124, + "step": 5928 + }, + { + "epoch": 0.94, + "learning_rate": 2.0105670475396243e-07, + "loss": 0.7255, + "step": 5929 + }, + { + "epoch": 0.94, + "learning_rate": 2.000356430152317e-07, + "loss": 0.7563, + "step": 5930 + }, + { + "epoch": 0.94, + "learning_rate": 1.9901715440573955e-07, + "loss": 0.7739, + "step": 5931 + }, + { + "epoch": 0.94, + "learning_rate": 1.9800123919290537e-07, + "loss": 0.7515, + "step": 5932 + }, + { + "epoch": 0.94, + "learning_rate": 1.969878976434747e-07, + "loss": 0.7628, + "step": 5933 + }, + { + "epoch": 0.94, + "learning_rate": 1.9597713002351359e-07, + "loss": 0.759, + "step": 5934 + }, + { + "epoch": 0.94, + "learning_rate": 1.9496893659841531e-07, + "loss": 0.739, + "step": 5935 + }, + { + "epoch": 0.94, + "learning_rate": 1.93963317632897e-07, + "loss": 0.7446, + "step": 5936 + }, + { + "epoch": 0.94, + "learning_rate": 1.9296027339099855e-07, + "loss": 0.6805, + "step": 5937 + }, + { + "epoch": 0.94, + "learning_rate": 1.9195980413608483e-07, + "loss": 0.6425, + "step": 5938 + }, + { + "epoch": 0.94, + "learning_rate": 1.9096191013084354e-07, + "loss": 0.6833, + "step": 5939 + }, + { + "epoch": 0.94, + "learning_rate": 1.8996659163728726e-07, + "loss": 0.7084, + "step": 5940 + }, + { + "epoch": 0.94, + "learning_rate": 1.8897384891675142e-07, + "loss": 0.751, + "step": 5941 + }, + { + "epoch": 0.94, + "learning_rate": 1.8798368222989637e-07, + "loss": 0.7054, + "step": 5942 + }, + { + "epoch": 0.94, + "learning_rate": 1.8699609183670531e-07, + "loss": 0.6472, + "step": 5943 + }, + { + "epoch": 0.94, + "learning_rate": 1.860110779964852e-07, + "loss": 0.6993, + "step": 5944 + }, + { + "epoch": 0.94, + "learning_rate": 1.8502864096786588e-07, + "loss": 0.6381, + "step": 5945 + }, + { + "epoch": 0.94, + "learning_rate": 1.8404878100880097e-07, + "loss": 0.7881, + "step": 5946 + }, + { + "epoch": 0.94, + "learning_rate": 1.8307149837656914e-07, + "loss": 0.6721, + "step": 5947 + }, + { + "epoch": 0.94, + "learning_rate": 1.820967933277684e-07, + "loss": 0.7581, + "step": 5948 + }, + { + "epoch": 0.94, + "learning_rate": 1.8112466611832302e-07, + "loss": 0.2791, + "step": 5949 + }, + { + "epoch": 0.94, + "learning_rate": 1.801551170034821e-07, + "loss": 0.7168, + "step": 5950 + }, + { + "epoch": 0.94, + "learning_rate": 1.79188146237812e-07, + "loss": 0.6945, + "step": 5951 + }, + { + "epoch": 0.94, + "learning_rate": 1.7822375407520742e-07, + "loss": 0.7412, + "step": 5952 + }, + { + "epoch": 0.94, + "learning_rate": 1.7726194076888358e-07, + "loss": 0.7092, + "step": 5953 + }, + { + "epoch": 0.94, + "learning_rate": 1.7630270657138072e-07, + "loss": 0.6946, + "step": 5954 + }, + { + "epoch": 0.94, + "learning_rate": 1.753460517345573e-07, + "loss": 0.7546, + "step": 5955 + }, + { + "epoch": 0.94, + "learning_rate": 1.7439197650959917e-07, + "loss": 0.7041, + "step": 5956 + }, + { + "epoch": 0.94, + "learning_rate": 1.7344048114701474e-07, + "loss": 0.7324, + "step": 5957 + }, + { + "epoch": 0.94, + "learning_rate": 1.7249156589663196e-07, + "loss": 0.6981, + "step": 5958 + }, + { + "epoch": 0.94, + "learning_rate": 1.7154523100760269e-07, + "loss": 0.7288, + "step": 5959 + }, + { + "epoch": 0.94, + "learning_rate": 1.7060147672840144e-07, + "loss": 0.7393, + "step": 5960 + }, + { + "epoch": 0.94, + "learning_rate": 1.696603033068267e-07, + "loss": 0.7159, + "step": 5961 + }, + { + "epoch": 0.94, + "learning_rate": 1.6872171098999633e-07, + "loss": 0.7114, + "step": 5962 + }, + { + "epoch": 0.94, + "learning_rate": 1.6778570002435213e-07, + "loss": 0.6917, + "step": 5963 + }, + { + "epoch": 0.94, + "learning_rate": 1.6685227065565858e-07, + "loss": 0.7324, + "step": 5964 + }, + { + "epoch": 0.94, + "learning_rate": 1.6592142312900184e-07, + "loss": 0.6794, + "step": 5965 + }, + { + "epoch": 0.94, + "learning_rate": 1.6499315768878865e-07, + "loss": 0.7068, + "step": 5966 + }, + { + "epoch": 0.94, + "learning_rate": 1.6406747457875073e-07, + "loss": 0.7275, + "step": 5967 + }, + { + "epoch": 0.94, + "learning_rate": 1.6314437404193917e-07, + "loss": 0.6477, + "step": 5968 + }, + { + "epoch": 0.94, + "learning_rate": 1.6222385632072902e-07, + "loss": 0.2599, + "step": 5969 + }, + { + "epoch": 0.94, + "learning_rate": 1.613059216568158e-07, + "loss": 0.7393, + "step": 5970 + }, + { + "epoch": 0.94, + "learning_rate": 1.6039057029121673e-07, + "loss": 0.7323, + "step": 5971 + }, + { + "epoch": 0.94, + "learning_rate": 1.594778024642718e-07, + "loss": 0.29, + "step": 5972 + }, + { + "epoch": 0.94, + "learning_rate": 1.585676184156415e-07, + "loss": 0.7061, + "step": 5973 + }, + { + "epoch": 0.95, + "learning_rate": 1.57660018384308e-07, + "loss": 0.7241, + "step": 5974 + }, + { + "epoch": 0.95, + "learning_rate": 1.5675500260857735e-07, + "loss": 0.6373, + "step": 5975 + }, + { + "epoch": 0.95, + "learning_rate": 1.558525713260728e-07, + "loss": 0.717, + "step": 5976 + }, + { + "epoch": 0.95, + "learning_rate": 1.549527247737437e-07, + "loss": 0.6384, + "step": 5977 + }, + { + "epoch": 0.95, + "learning_rate": 1.5405546318785547e-07, + "loss": 0.7083, + "step": 5978 + }, + { + "epoch": 0.95, + "learning_rate": 1.531607868040008e-07, + "loss": 0.7231, + "step": 5979 + }, + { + "epoch": 0.95, + "learning_rate": 1.522686958570896e-07, + "loss": 0.6995, + "step": 5980 + }, + { + "epoch": 0.95, + "learning_rate": 1.513791905813522e-07, + "loss": 0.7482, + "step": 5981 + }, + { + "epoch": 0.95, + "learning_rate": 1.5049227121034292e-07, + "loss": 0.2858, + "step": 5982 + }, + { + "epoch": 0.95, + "learning_rate": 1.4960793797693663e-07, + "loss": 0.7129, + "step": 5983 + }, + { + "epoch": 0.95, + "learning_rate": 1.4872619111332754e-07, + "loss": 0.7513, + "step": 5984 + }, + { + "epoch": 0.95, + "learning_rate": 1.4784703085103268e-07, + "loss": 0.7421, + "step": 5985 + }, + { + "epoch": 0.95, + "learning_rate": 1.4697045742088746e-07, + "loss": 0.7029, + "step": 5986 + }, + { + "epoch": 0.95, + "learning_rate": 1.460964710530499e-07, + "loss": 0.6842, + "step": 5987 + }, + { + "epoch": 0.95, + "learning_rate": 1.4522507197699874e-07, + "loss": 0.6653, + "step": 5988 + }, + { + "epoch": 0.95, + "learning_rate": 1.4435626042153316e-07, + "loss": 0.7368, + "step": 5989 + }, + { + "epoch": 0.95, + "learning_rate": 1.434900366147729e-07, + "loss": 0.7273, + "step": 5990 + }, + { + "epoch": 0.95, + "learning_rate": 1.4262640078415713e-07, + "loss": 0.668, + "step": 5991 + }, + { + "epoch": 0.95, + "learning_rate": 1.417653531564478e-07, + "loss": 0.7111, + "step": 5992 + }, + { + "epoch": 0.95, + "learning_rate": 1.4090689395772516e-07, + "loss": 0.6838, + "step": 5993 + }, + { + "epoch": 0.95, + "learning_rate": 1.4005102341339117e-07, + "loss": 0.7683, + "step": 5994 + }, + { + "epoch": 0.95, + "learning_rate": 1.3919774174816714e-07, + "loss": 0.7183, + "step": 5995 + }, + { + "epoch": 0.95, + "learning_rate": 1.3834704918609497e-07, + "loss": 0.7286, + "step": 5996 + }, + { + "epoch": 0.95, + "learning_rate": 1.3749894595053825e-07, + "loss": 0.6783, + "step": 5997 + }, + { + "epoch": 0.95, + "learning_rate": 1.3665343226417772e-07, + "loss": 0.7112, + "step": 5998 + }, + { + "epoch": 0.95, + "learning_rate": 1.3581050834901687e-07, + "loss": 0.7386, + "step": 5999 + }, + { + "epoch": 0.95, + "learning_rate": 1.349701744263776e-07, + "loss": 0.71, + "step": 6000 + }, + { + "epoch": 0.95, + "learning_rate": 1.341324307169034e-07, + "loss": 0.679, + "step": 6001 + }, + { + "epoch": 0.95, + "learning_rate": 1.3329727744055388e-07, + "loss": 0.6697, + "step": 6002 + }, + { + "epoch": 0.95, + "learning_rate": 1.324647148166136e-07, + "loss": 0.7131, + "step": 6003 + }, + { + "epoch": 0.95, + "learning_rate": 1.316347430636844e-07, + "loss": 0.7844, + "step": 6004 + }, + { + "epoch": 0.95, + "learning_rate": 1.308073623996875e-07, + "loss": 0.7297, + "step": 6005 + }, + { + "epoch": 0.95, + "learning_rate": 1.2998257304186468e-07, + "loss": 0.6628, + "step": 6006 + }, + { + "epoch": 0.95, + "learning_rate": 1.2916037520677605e-07, + "loss": 0.7231, + "step": 6007 + }, + { + "epoch": 0.95, + "learning_rate": 1.2834076911030225e-07, + "loss": 0.7207, + "step": 6008 + }, + { + "epoch": 0.95, + "learning_rate": 1.2752375496764335e-07, + "loss": 0.7183, + "step": 6009 + }, + { + "epoch": 0.95, + "learning_rate": 1.2670933299332e-07, + "loss": 0.7241, + "step": 6010 + }, + { + "epoch": 0.95, + "learning_rate": 1.2589750340116892e-07, + "loss": 0.6801, + "step": 6011 + }, + { + "epoch": 0.95, + "learning_rate": 1.2508826640434957e-07, + "loss": 0.7266, + "step": 6012 + }, + { + "epoch": 0.95, + "learning_rate": 1.242816222153398e-07, + "loss": 0.7332, + "step": 6013 + }, + { + "epoch": 0.95, + "learning_rate": 1.2347757104593462e-07, + "loss": 0.7302, + "step": 6014 + }, + { + "epoch": 0.95, + "learning_rate": 1.226761131072507e-07, + "loss": 0.7454, + "step": 6015 + }, + { + "epoch": 0.95, + "learning_rate": 1.2187724860972417e-07, + "loss": 0.7313, + "step": 6016 + }, + { + "epoch": 0.95, + "learning_rate": 1.2108097776310833e-07, + "loss": 0.7095, + "step": 6017 + }, + { + "epoch": 0.95, + "learning_rate": 1.202873007764749e-07, + "loss": 0.7332, + "step": 6018 + }, + { + "epoch": 0.95, + "learning_rate": 1.1949621785821708e-07, + "loss": 0.6818, + "step": 6019 + }, + { + "epoch": 0.95, + "learning_rate": 1.1870772921604657e-07, + "loss": 0.7041, + "step": 6020 + }, + { + "epoch": 0.95, + "learning_rate": 1.1792183505698995e-07, + "loss": 0.6978, + "step": 6021 + }, + { + "epoch": 0.95, + "learning_rate": 1.1713853558739885e-07, + "loss": 0.74, + "step": 6022 + }, + { + "epoch": 0.95, + "learning_rate": 1.1635783101293874e-07, + "loss": 0.7041, + "step": 6023 + }, + { + "epoch": 0.95, + "learning_rate": 1.1557972153859564e-07, + "loss": 0.6984, + "step": 6024 + }, + { + "epoch": 0.95, + "learning_rate": 1.1480420736867392e-07, + "loss": 0.7262, + "step": 6025 + }, + { + "epoch": 0.95, + "learning_rate": 1.1403128870679736e-07, + "loss": 0.677, + "step": 6026 + }, + { + "epoch": 0.95, + "learning_rate": 1.1326096575590695e-07, + "loss": 0.7415, + "step": 6027 + }, + { + "epoch": 0.95, + "learning_rate": 1.1249323871826201e-07, + "loss": 0.7327, + "step": 6028 + }, + { + "epoch": 0.95, + "learning_rate": 1.1172810779544129e-07, + "loss": 0.7642, + "step": 6029 + }, + { + "epoch": 0.95, + "learning_rate": 1.10965573188343e-07, + "loss": 0.7009, + "step": 6030 + }, + { + "epoch": 0.95, + "learning_rate": 1.102056350971803e-07, + "loss": 0.6851, + "step": 6031 + }, + { + "epoch": 0.95, + "learning_rate": 1.0944829372148691e-07, + "loss": 0.7136, + "step": 6032 + }, + { + "epoch": 0.95, + "learning_rate": 1.0869354926011488e-07, + "loss": 0.7031, + "step": 6033 + }, + { + "epoch": 0.95, + "learning_rate": 1.0794140191123348e-07, + "loss": 0.7207, + "step": 6034 + }, + { + "epoch": 0.95, + "learning_rate": 1.0719185187232916e-07, + "loss": 0.7041, + "step": 6035 + }, + { + "epoch": 0.95, + "learning_rate": 1.0644489934021007e-07, + "loss": 0.7294, + "step": 6036 + }, + { + "epoch": 0.96, + "learning_rate": 1.0570054451099821e-07, + "loss": 0.7268, + "step": 6037 + }, + { + "epoch": 0.96, + "learning_rate": 1.0495878758013611e-07, + "loss": 0.7546, + "step": 6038 + }, + { + "epoch": 0.96, + "learning_rate": 1.0421962874238245e-07, + "loss": 0.6829, + "step": 6039 + }, + { + "epoch": 0.96, + "learning_rate": 1.034830681918153e-07, + "loss": 0.7178, + "step": 6040 + }, + { + "epoch": 0.96, + "learning_rate": 1.0274910612182887e-07, + "loss": 0.6625, + "step": 6041 + }, + { + "epoch": 0.96, + "learning_rate": 1.0201774272513676e-07, + "loss": 0.7732, + "step": 6042 + }, + { + "epoch": 0.96, + "learning_rate": 1.0128897819376981e-07, + "loss": 0.7373, + "step": 6043 + }, + { + "epoch": 0.96, + "learning_rate": 1.0056281271907609e-07, + "loss": 0.6954, + "step": 6044 + }, + { + "epoch": 0.96, + "learning_rate": 9.983924649172083e-08, + "loss": 0.2682, + "step": 6045 + }, + { + "epoch": 0.96, + "learning_rate": 9.911827970168763e-08, + "loss": 0.7125, + "step": 6046 + }, + { + "epoch": 0.96, + "learning_rate": 9.83999125382773e-08, + "loss": 0.7211, + "step": 6047 + }, + { + "epoch": 0.96, + "learning_rate": 9.768414519010782e-08, + "loss": 0.7316, + "step": 6048 + }, + { + "epoch": 0.96, + "learning_rate": 9.697097784511444e-08, + "loss": 0.6833, + "step": 6049 + }, + { + "epoch": 0.96, + "learning_rate": 9.62604106905507e-08, + "loss": 0.2874, + "step": 6050 + }, + { + "epoch": 0.96, + "learning_rate": 9.555244391298735e-08, + "loss": 0.7019, + "step": 6051 + }, + { + "epoch": 0.96, + "learning_rate": 9.484707769831014e-08, + "loss": 0.7526, + "step": 6052 + }, + { + "epoch": 0.96, + "learning_rate": 9.414431223172538e-08, + "loss": 0.703, + "step": 6053 + }, + { + "epoch": 0.96, + "learning_rate": 9.344414769775323e-08, + "loss": 0.7561, + "step": 6054 + }, + { + "epoch": 0.96, + "learning_rate": 9.274658428023331e-08, + "loss": 0.6952, + "step": 6055 + }, + { + "epoch": 0.96, + "learning_rate": 9.205162216232133e-08, + "loss": 0.728, + "step": 6056 + }, + { + "epoch": 0.96, + "learning_rate": 9.135926152649133e-08, + "loss": 0.7377, + "step": 6057 + }, + { + "epoch": 0.96, + "learning_rate": 9.066950255453011e-08, + "loss": 0.2706, + "step": 6058 + }, + { + "epoch": 0.96, + "learning_rate": 8.998234542754725e-08, + "loss": 0.7402, + "step": 6059 + }, + { + "epoch": 0.96, + "learning_rate": 8.929779032596619e-08, + "loss": 0.7576, + "step": 6060 + }, + { + "epoch": 0.96, + "learning_rate": 8.861583742952429e-08, + "loss": 0.7224, + "step": 6061 + }, + { + "epoch": 0.96, + "learning_rate": 8.793648691728163e-08, + "loss": 0.6252, + "step": 6062 + }, + { + "epoch": 0.96, + "learning_rate": 8.725973896761108e-08, + "loss": 0.7328, + "step": 6063 + }, + { + "epoch": 0.96, + "learning_rate": 8.658559375820275e-08, + "loss": 0.724, + "step": 6064 + }, + { + "epoch": 0.96, + "learning_rate": 8.59140514660639e-08, + "loss": 0.2652, + "step": 6065 + }, + { + "epoch": 0.96, + "learning_rate": 8.524511226751797e-08, + "loss": 0.7354, + "step": 6066 + }, + { + "epoch": 0.96, + "learning_rate": 8.457877633820555e-08, + "loss": 0.7205, + "step": 6067 + }, + { + "epoch": 0.96, + "learning_rate": 8.391504385308336e-08, + "loss": 0.7292, + "step": 6068 + }, + { + "epoch": 0.96, + "learning_rate": 8.325391498642421e-08, + "loss": 0.7856, + "step": 6069 + }, + { + "epoch": 0.96, + "learning_rate": 8.259538991181703e-08, + "loss": 0.2751, + "step": 6070 + }, + { + "epoch": 0.96, + "learning_rate": 8.193946880216685e-08, + "loss": 0.7434, + "step": 6071 + }, + { + "epoch": 0.96, + "learning_rate": 8.128615182969812e-08, + "loss": 0.7637, + "step": 6072 + }, + { + "epoch": 0.96, + "learning_rate": 8.063543916594696e-08, + "loss": 0.8303, + "step": 6073 + }, + { + "epoch": 0.96, + "learning_rate": 7.998733098176892e-08, + "loss": 0.686, + "step": 6074 + }, + { + "epoch": 0.96, + "learning_rate": 7.934182744733454e-08, + "loss": 0.7559, + "step": 6075 + }, + { + "epoch": 0.96, + "learning_rate": 7.869892873212937e-08, + "loss": 0.7305, + "step": 6076 + }, + { + "epoch": 0.96, + "learning_rate": 7.805863500495724e-08, + "loss": 0.7656, + "step": 6077 + }, + { + "epoch": 0.96, + "learning_rate": 7.742094643393816e-08, + "loss": 0.7141, + "step": 6078 + }, + { + "epoch": 0.96, + "learning_rate": 7.678586318650483e-08, + "loss": 0.2737, + "step": 6079 + }, + { + "epoch": 0.96, + "learning_rate": 7.615338542940941e-08, + "loss": 0.7256, + "step": 6080 + }, + { + "epoch": 0.96, + "learning_rate": 7.552351332871799e-08, + "loss": 0.74, + "step": 6081 + }, + { + "epoch": 0.96, + "learning_rate": 7.489624704981158e-08, + "loss": 0.6714, + "step": 6082 + }, + { + "epoch": 0.96, + "learning_rate": 7.427158675739177e-08, + "loss": 0.7163, + "step": 6083 + }, + { + "epoch": 0.96, + "learning_rate": 7.364953261546958e-08, + "loss": 0.7214, + "step": 6084 + }, + { + "epoch": 0.96, + "learning_rate": 7.303008478737662e-08, + "loss": 0.7095, + "step": 6085 + }, + { + "epoch": 0.96, + "learning_rate": 7.241324343575718e-08, + "loss": 0.7021, + "step": 6086 + }, + { + "epoch": 0.96, + "learning_rate": 7.179900872257283e-08, + "loss": 0.6946, + "step": 6087 + }, + { + "epoch": 0.96, + "learning_rate": 7.118738080909904e-08, + "loss": 0.7261, + "step": 6088 + }, + { + "epoch": 0.96, + "learning_rate": 7.057835985593065e-08, + "loss": 0.7529, + "step": 6089 + }, + { + "epoch": 0.96, + "learning_rate": 6.997194602297197e-08, + "loss": 0.7094, + "step": 6090 + }, + { + "epoch": 0.96, + "learning_rate": 6.936813946944898e-08, + "loss": 0.6992, + "step": 6091 + }, + { + "epoch": 0.96, + "learning_rate": 6.876694035390041e-08, + "loss": 0.6787, + "step": 6092 + }, + { + "epoch": 0.96, + "learning_rate": 6.816834883417778e-08, + "loss": 0.6901, + "step": 6093 + }, + { + "epoch": 0.96, + "learning_rate": 6.75723650674509e-08, + "loss": 0.6895, + "step": 6094 + }, + { + "epoch": 0.96, + "learning_rate": 6.697898921020574e-08, + "loss": 0.6982, + "step": 6095 + }, + { + "epoch": 0.96, + "learning_rate": 6.638822141824097e-08, + "loss": 0.6855, + "step": 6096 + }, + { + "epoch": 0.96, + "learning_rate": 6.580006184667254e-08, + "loss": 0.6526, + "step": 6097 + }, + { + "epoch": 0.96, + "learning_rate": 6.521451064993023e-08, + "loss": 0.7222, + "step": 6098 + }, + { + "epoch": 0.96, + "learning_rate": 6.463156798175884e-08, + "loss": 0.7495, + "step": 6099 + }, + { + "epoch": 0.97, + "learning_rate": 6.40512339952204e-08, + "loss": 0.658, + "step": 6100 + }, + { + "epoch": 0.97, + "learning_rate": 6.347350884268855e-08, + "loss": 0.7749, + "step": 6101 + }, + { + "epoch": 0.97, + "learning_rate": 6.289839267585418e-08, + "loss": 0.658, + "step": 6102 + }, + { + "epoch": 0.97, + "learning_rate": 6.232588564572317e-08, + "loss": 0.6549, + "step": 6103 + }, + { + "epoch": 0.97, + "learning_rate": 6.17559879026164e-08, + "loss": 0.7338, + "step": 6104 + }, + { + "epoch": 0.97, + "learning_rate": 6.118869959616858e-08, + "loss": 0.6859, + "step": 6105 + }, + { + "epoch": 0.97, + "learning_rate": 6.062402087532948e-08, + "loss": 0.6786, + "step": 6106 + }, + { + "epoch": 0.97, + "learning_rate": 6.006195188836495e-08, + "loss": 0.7112, + "step": 6107 + }, + { + "epoch": 0.97, + "learning_rate": 5.950249278285358e-08, + "loss": 0.7212, + "step": 6108 + }, + { + "epoch": 0.97, + "learning_rate": 5.8945643705691225e-08, + "loss": 0.6389, + "step": 6109 + }, + { + "epoch": 0.97, + "learning_rate": 5.8391404803085364e-08, + "loss": 0.7476, + "step": 6110 + }, + { + "epoch": 0.97, + "learning_rate": 5.78397762205618e-08, + "loss": 0.7129, + "step": 6111 + }, + { + "epoch": 0.97, + "learning_rate": 5.7290758102958035e-08, + "loss": 0.6959, + "step": 6112 + }, + { + "epoch": 0.97, + "learning_rate": 5.6744350594426514e-08, + "loss": 0.6901, + "step": 6113 + }, + { + "epoch": 0.97, + "learning_rate": 5.620055383843581e-08, + "loss": 0.7212, + "step": 6114 + }, + { + "epoch": 0.97, + "learning_rate": 5.5659367977768383e-08, + "loss": 0.7935, + "step": 6115 + }, + { + "epoch": 0.97, + "learning_rate": 5.512079315451835e-08, + "loss": 0.6584, + "step": 6116 + }, + { + "epoch": 0.97, + "learning_rate": 5.4584829510099246e-08, + "loss": 0.5712, + "step": 6117 + }, + { + "epoch": 0.97, + "learning_rate": 5.405147718523518e-08, + "loss": 0.6523, + "step": 6118 + }, + { + "epoch": 0.97, + "learning_rate": 5.352073631996635e-08, + "loss": 0.7043, + "step": 6119 + }, + { + "epoch": 0.97, + "learning_rate": 5.299260705364684e-08, + "loss": 0.7479, + "step": 6120 + }, + { + "epoch": 0.97, + "learning_rate": 5.2467089524944614e-08, + "loss": 0.6968, + "step": 6121 + }, + { + "epoch": 0.97, + "learning_rate": 5.1944183871842635e-08, + "loss": 0.6966, + "step": 6122 + }, + { + "epoch": 0.97, + "learning_rate": 5.1423890231636633e-08, + "loss": 0.6887, + "step": 6123 + }, + { + "epoch": 0.97, + "learning_rate": 5.090620874093954e-08, + "loss": 0.7051, + "step": 6124 + }, + { + "epoch": 0.97, + "learning_rate": 5.039113953567598e-08, + "loss": 0.6725, + "step": 6125 + }, + { + "epoch": 0.97, + "learning_rate": 4.987868275108443e-08, + "loss": 0.6953, + "step": 6126 + }, + { + "epoch": 0.97, + "learning_rate": 4.936883852171837e-08, + "loss": 0.7275, + "step": 6127 + }, + { + "epoch": 0.97, + "learning_rate": 4.8861606981445156e-08, + "loss": 0.686, + "step": 6128 + }, + { + "epoch": 0.97, + "learning_rate": 4.8356988263444925e-08, + "loss": 0.7589, + "step": 6129 + }, + { + "epoch": 0.97, + "learning_rate": 4.785498250021503e-08, + "loss": 0.7759, + "step": 6130 + }, + { + "epoch": 0.97, + "learning_rate": 4.735558982356447e-08, + "loss": 0.7279, + "step": 6131 + }, + { + "epoch": 0.97, + "learning_rate": 4.685881036461615e-08, + "loss": 0.6796, + "step": 6132 + }, + { + "epoch": 0.97, + "learning_rate": 4.636464425380571e-08, + "loss": 0.7192, + "step": 6133 + }, + { + "epoch": 0.97, + "learning_rate": 4.5873091620884933e-08, + "loss": 0.6772, + "step": 6134 + }, + { + "epoch": 0.97, + "learning_rate": 4.538415259491946e-08, + "loss": 0.7125, + "step": 6135 + }, + { + "epoch": 0.97, + "learning_rate": 4.489782730428549e-08, + "loss": 0.7032, + "step": 6136 + }, + { + "epoch": 0.97, + "learning_rate": 4.441411587667643e-08, + "loss": 0.6765, + "step": 6137 + }, + { + "epoch": 0.97, + "learning_rate": 4.3933018439097366e-08, + "loss": 0.678, + "step": 6138 + }, + { + "epoch": 0.97, + "learning_rate": 4.3454535117869454e-08, + "loss": 0.7312, + "step": 6139 + }, + { + "epoch": 0.97, + "learning_rate": 4.297866603862333e-08, + "loss": 0.7856, + "step": 6140 + }, + { + "epoch": 0.97, + "learning_rate": 4.250541132630792e-08, + "loss": 0.7351, + "step": 6141 + }, + { + "epoch": 0.97, + "learning_rate": 4.2034771105181615e-08, + "loss": 0.761, + "step": 6142 + }, + { + "epoch": 0.97, + "learning_rate": 4.156674549881889e-08, + "loss": 0.6855, + "step": 6143 + }, + { + "epoch": 0.97, + "learning_rate": 4.1101334630107015e-08, + "loss": 0.8192, + "step": 6144 + }, + { + "epoch": 0.97, + "learning_rate": 4.0638538621246e-08, + "loss": 0.6639, + "step": 6145 + }, + { + "epoch": 0.97, + "learning_rate": 4.017835759375088e-08, + "loss": 0.7134, + "step": 6146 + }, + { + "epoch": 0.97, + "learning_rate": 3.972079166844833e-08, + "loss": 0.7185, + "step": 6147 + }, + { + "epoch": 0.97, + "learning_rate": 3.926584096548114e-08, + "loss": 0.7246, + "step": 6148 + }, + { + "epoch": 0.97, + "learning_rate": 3.8813505604300413e-08, + "loss": 0.6882, + "step": 6149 + }, + { + "epoch": 0.97, + "learning_rate": 3.836378570367672e-08, + "loss": 0.6794, + "step": 6150 + }, + { + "epoch": 0.97, + "learning_rate": 3.7916681381687805e-08, + "loss": 0.6379, + "step": 6151 + }, + { + "epoch": 0.97, + "learning_rate": 3.7472192755730883e-08, + "loss": 0.6953, + "step": 6152 + }, + { + "epoch": 0.97, + "learning_rate": 3.703031994251038e-08, + "loss": 0.2822, + "step": 6153 + }, + { + "epoch": 0.97, + "learning_rate": 3.659106305804905e-08, + "loss": 0.6931, + "step": 6154 + }, + { + "epoch": 0.97, + "learning_rate": 3.6154422217677954e-08, + "loss": 0.7074, + "step": 6155 + }, + { + "epoch": 0.97, + "learning_rate": 3.5720397536046504e-08, + "loss": 0.6594, + "step": 6156 + }, + { + "epoch": 0.97, + "learning_rate": 3.5288989127111315e-08, + "loss": 0.7786, + "step": 6157 + }, + { + "epoch": 0.97, + "learning_rate": 3.4860197104148454e-08, + "loss": 0.7212, + "step": 6158 + }, + { + "epoch": 0.97, + "learning_rate": 3.4434021579742297e-08, + "loss": 0.7188, + "step": 6159 + }, + { + "epoch": 0.97, + "learning_rate": 3.401046266579111e-08, + "loss": 0.7156, + "step": 6160 + }, + { + "epoch": 0.97, + "learning_rate": 3.358952047350705e-08, + "loss": 0.7375, + "step": 6161 + }, + { + "epoch": 0.97, + "learning_rate": 3.3171195113416156e-08, + "loss": 0.7197, + "step": 6162 + }, + { + "epoch": 0.98, + "learning_rate": 3.2755486695354996e-08, + "loss": 0.712, + "step": 6163 + }, + { + "epoch": 0.98, + "learning_rate": 3.234239532847294e-08, + "loss": 0.738, + "step": 6164 + }, + { + "epoch": 0.98, + "learning_rate": 3.1931921121235444e-08, + "loss": 0.7368, + "step": 6165 + }, + { + "epoch": 0.98, + "learning_rate": 3.15240641814174e-08, + "loss": 0.7495, + "step": 6166 + }, + { + "epoch": 0.98, + "learning_rate": 3.111882461610982e-08, + "loss": 0.7166, + "step": 6167 + }, + { + "epoch": 0.98, + "learning_rate": 3.0716202531710924e-08, + "loss": 0.6797, + "step": 6168 + }, + { + "epoch": 0.98, + "learning_rate": 3.031619803393837e-08, + "loss": 0.7151, + "step": 6169 + }, + { + "epoch": 0.98, + "learning_rate": 2.991881122781815e-08, + "loss": 0.6899, + "step": 6170 + }, + { + "epoch": 0.98, + "learning_rate": 2.952404221769123e-08, + "loss": 0.7129, + "step": 6171 + }, + { + "epoch": 0.98, + "learning_rate": 2.9131891107209153e-08, + "loss": 0.713, + "step": 6172 + }, + { + "epoch": 0.98, + "learning_rate": 2.8742357999336222e-08, + "loss": 0.6989, + "step": 6173 + }, + { + "epoch": 0.98, + "learning_rate": 2.8355442996352845e-08, + "loss": 0.6769, + "step": 6174 + }, + { + "epoch": 0.98, + "learning_rate": 2.7971146199847756e-08, + "loss": 0.7104, + "step": 6175 + }, + { + "epoch": 0.98, + "learning_rate": 2.758946771072357e-08, + "loss": 0.7098, + "step": 6176 + }, + { + "epoch": 0.98, + "learning_rate": 2.7210407629195688e-08, + "loss": 0.7754, + "step": 6177 + }, + { + "epoch": 0.98, + "learning_rate": 2.683396605479338e-08, + "loss": 0.7424, + "step": 6178 + }, + { + "epoch": 0.98, + "learning_rate": 2.6460143086357582e-08, + "loss": 0.7122, + "step": 6179 + }, + { + "epoch": 0.98, + "learning_rate": 2.608893882203867e-08, + "loss": 0.6655, + "step": 6180 + }, + { + "epoch": 0.98, + "learning_rate": 2.572035335930312e-08, + "loss": 0.6934, + "step": 6181 + }, + { + "epoch": 0.98, + "learning_rate": 2.5354386794930184e-08, + "loss": 0.7158, + "step": 6182 + }, + { + "epoch": 0.98, + "learning_rate": 2.499103922500745e-08, + "loss": 0.6626, + "step": 6183 + }, + { + "epoch": 0.98, + "learning_rate": 2.4630310744938603e-08, + "loss": 0.6865, + "step": 6184 + }, + { + "epoch": 0.98, + "learning_rate": 2.4272201449438982e-08, + "loss": 0.6772, + "step": 6185 + }, + { + "epoch": 0.98, + "learning_rate": 2.3916711432534488e-08, + "loss": 0.7358, + "step": 6186 + }, + { + "epoch": 0.98, + "learning_rate": 2.3563840787564905e-08, + "loss": 0.6906, + "step": 6187 + }, + { + "epoch": 0.98, + "learning_rate": 2.3213589607180563e-08, + "loss": 0.6586, + "step": 6188 + }, + { + "epoch": 0.98, + "learning_rate": 2.2865957983347896e-08, + "loss": 0.7686, + "step": 6189 + }, + { + "epoch": 0.98, + "learning_rate": 2.252094600734056e-08, + "loss": 0.6693, + "step": 6190 + }, + { + "epoch": 0.98, + "learning_rate": 2.2178553769747202e-08, + "loss": 0.6742, + "step": 6191 + }, + { + "epoch": 0.98, + "learning_rate": 2.183878136046813e-08, + "loss": 0.7297, + "step": 6192 + }, + { + "epoch": 0.98, + "learning_rate": 2.1501628868716428e-08, + "loss": 0.6631, + "step": 6193 + }, + { + "epoch": 0.98, + "learning_rate": 2.116709638301573e-08, + "loss": 0.7349, + "step": 6194 + }, + { + "epoch": 0.98, + "learning_rate": 2.0835183991203546e-08, + "loss": 0.6802, + "step": 6195 + }, + { + "epoch": 0.98, + "learning_rate": 2.0505891780427944e-08, + "loss": 0.6619, + "step": 6196 + }, + { + "epoch": 0.98, + "learning_rate": 2.0179219837148657e-08, + "loss": 0.6748, + "step": 6197 + }, + { + "epoch": 0.98, + "learning_rate": 1.9855168247139288e-08, + "loss": 0.7081, + "step": 6198 + }, + { + "epoch": 0.98, + "learning_rate": 1.9533737095485118e-08, + "loss": 0.6974, + "step": 6199 + }, + { + "epoch": 0.98, + "learning_rate": 1.921492646658196e-08, + "loss": 0.751, + "step": 6200 + }, + { + "epoch": 0.98, + "learning_rate": 1.8898736444138422e-08, + "loss": 0.7164, + "step": 6201 + }, + { + "epoch": 0.98, + "learning_rate": 1.858516711117586e-08, + "loss": 0.7183, + "step": 6202 + }, + { + "epoch": 0.98, + "learning_rate": 1.827421855002509e-08, + "loss": 0.6854, + "step": 6203 + }, + { + "epoch": 0.98, + "learning_rate": 1.79658908423308e-08, + "loss": 0.7382, + "step": 6204 + }, + { + "epoch": 0.98, + "learning_rate": 1.7660184069050456e-08, + "loss": 0.7604, + "step": 6205 + }, + { + "epoch": 0.98, + "learning_rate": 1.735709831044985e-08, + "loss": 0.6855, + "step": 6206 + }, + { + "epoch": 0.98, + "learning_rate": 1.7056633646110876e-08, + "loss": 0.6691, + "step": 6207 + }, + { + "epoch": 0.98, + "learning_rate": 1.6758790154923766e-08, + "loss": 0.692, + "step": 6208 + }, + { + "epoch": 0.98, + "learning_rate": 1.6463567915093737e-08, + "loss": 0.6814, + "step": 6209 + }, + { + "epoch": 0.98, + "learning_rate": 1.617096700413212e-08, + "loss": 0.6814, + "step": 6210 + }, + { + "epoch": 0.98, + "learning_rate": 1.5880987498868572e-08, + "loss": 0.7059, + "step": 6211 + }, + { + "epoch": 0.98, + "learning_rate": 1.5593629475442185e-08, + "loss": 0.6631, + "step": 6212 + }, + { + "epoch": 0.98, + "learning_rate": 1.5308893009300386e-08, + "loss": 0.6802, + "step": 6213 + }, + { + "epoch": 0.98, + "learning_rate": 1.5026778175207814e-08, + "loss": 0.6768, + "step": 6214 + }, + { + "epoch": 0.98, + "learning_rate": 1.4747285047236325e-08, + "loss": 0.7371, + "step": 6215 + }, + { + "epoch": 0.98, + "learning_rate": 1.4470413698771668e-08, + "loss": 0.7036, + "step": 6216 + }, + { + "epoch": 0.98, + "learning_rate": 1.4196164202510132e-08, + "loss": 0.7412, + "step": 6217 + }, + { + "epoch": 0.98, + "learning_rate": 1.3924536630460784e-08, + "loss": 0.7245, + "step": 6218 + }, + { + "epoch": 0.98, + "learning_rate": 1.3655531053943238e-08, + "loss": 0.276, + "step": 6219 + }, + { + "epoch": 0.98, + "learning_rate": 1.3389147543588776e-08, + "loss": 0.7273, + "step": 6220 + }, + { + "epoch": 0.98, + "learning_rate": 1.3125386169341448e-08, + "loss": 0.2623, + "step": 6221 + }, + { + "epoch": 0.98, + "learning_rate": 1.2864247000453634e-08, + "loss": 0.7148, + "step": 6222 + }, + { + "epoch": 0.98, + "learning_rate": 1.2605730105493818e-08, + "loss": 0.7358, + "step": 6223 + }, + { + "epoch": 0.98, + "learning_rate": 1.2349835552337708e-08, + "loss": 0.6893, + "step": 6224 + }, + { + "epoch": 0.98, + "learning_rate": 1.2096563408176e-08, + "loss": 0.6719, + "step": 6225 + }, + { + "epoch": 0.98, + "learning_rate": 1.1845913739507719e-08, + "loss": 0.6741, + "step": 6226 + }, + { + "epoch": 0.99, + "learning_rate": 1.1597886612144672e-08, + "loss": 0.7135, + "step": 6227 + }, + { + "epoch": 0.99, + "learning_rate": 1.1352482091211426e-08, + "loss": 0.7156, + "step": 6228 + }, + { + "epoch": 0.99, + "learning_rate": 1.1109700241141997e-08, + "loss": 0.7112, + "step": 6229 + }, + { + "epoch": 0.99, + "learning_rate": 1.0869541125682059e-08, + "loss": 0.6987, + "step": 6230 + }, + { + "epoch": 0.99, + "learning_rate": 1.0632004807888951e-08, + "loss": 0.679, + "step": 6231 + }, + { + "epoch": 0.99, + "learning_rate": 1.0397091350131671e-08, + "loss": 0.7292, + "step": 6232 + }, + { + "epoch": 0.99, + "learning_rate": 1.0164800814090881e-08, + "loss": 0.7041, + "step": 6233 + }, + { + "epoch": 0.99, + "learning_rate": 9.93513326075779e-09, + "loss": 0.7048, + "step": 6234 + }, + { + "epoch": 0.99, + "learning_rate": 9.708088750434163e-09, + "loss": 0.6595, + "step": 6235 + }, + { + "epoch": 0.99, + "learning_rate": 9.483667342735647e-09, + "loss": 0.7018, + "step": 6236 + }, + { + "epoch": 0.99, + "learning_rate": 9.261869096586217e-09, + "loss": 0.7024, + "step": 6237 + }, + { + "epoch": 0.99, + "learning_rate": 9.042694070221513e-09, + "loss": 0.7595, + "step": 6238 + }, + { + "epoch": 0.99, + "learning_rate": 8.826142321192165e-09, + "loss": 0.7529, + "step": 6239 + }, + { + "epoch": 0.99, + "learning_rate": 8.612213906353806e-09, + "loss": 0.6523, + "step": 6240 + }, + { + "epoch": 0.99, + "learning_rate": 8.400908881879278e-09, + "loss": 0.7101, + "step": 6241 + }, + { + "epoch": 0.99, + "learning_rate": 8.192227303247535e-09, + "loss": 0.7164, + "step": 6242 + }, + { + "epoch": 0.99, + "learning_rate": 7.986169225253638e-09, + "loss": 0.6792, + "step": 6243 + }, + { + "epoch": 0.99, + "learning_rate": 7.78273470199986e-09, + "loss": 0.7134, + "step": 6244 + }, + { + "epoch": 0.99, + "learning_rate": 7.581923786900148e-09, + "loss": 0.6571, + "step": 6245 + }, + { + "epoch": 0.99, + "learning_rate": 7.383736532682318e-09, + "loss": 0.7134, + "step": 6246 + }, + { + "epoch": 0.99, + "learning_rate": 7.188172991381415e-09, + "loss": 0.6787, + "step": 6247 + }, + { + "epoch": 0.99, + "learning_rate": 6.995233214347474e-09, + "loss": 0.6552, + "step": 6248 + }, + { + "epoch": 0.99, + "learning_rate": 6.804917252239973e-09, + "loss": 0.7153, + "step": 6249 + }, + { + "epoch": 0.99, + "learning_rate": 6.617225155026718e-09, + "loss": 0.6947, + "step": 6250 + }, + { + "epoch": 0.99, + "learning_rate": 6.432156971991621e-09, + "loss": 0.6707, + "step": 6251 + }, + { + "epoch": 0.99, + "learning_rate": 6.249712751725811e-09, + "loss": 0.6749, + "step": 6252 + }, + { + "epoch": 0.99, + "learning_rate": 6.0698925421331935e-09, + "loss": 0.6992, + "step": 6253 + }, + { + "epoch": 0.99, + "learning_rate": 5.892696390428221e-09, + "loss": 0.6359, + "step": 6254 + }, + { + "epoch": 0.99, + "learning_rate": 5.71812434313701e-09, + "loss": 0.6993, + "step": 6255 + }, + { + "epoch": 0.99, + "learning_rate": 5.54617644609512e-09, + "loss": 0.7317, + "step": 6256 + }, + { + "epoch": 0.99, + "learning_rate": 5.376852744450878e-09, + "loss": 0.7361, + "step": 6257 + }, + { + "epoch": 0.99, + "learning_rate": 5.210153282662056e-09, + "loss": 0.6804, + "step": 6258 + }, + { + "epoch": 0.99, + "learning_rate": 5.046078104499197e-09, + "loss": 0.7141, + "step": 6259 + }, + { + "epoch": 0.99, + "learning_rate": 4.884627253041174e-09, + "loss": 0.7307, + "step": 6260 + }, + { + "epoch": 0.99, + "learning_rate": 4.725800770680744e-09, + "loss": 0.8044, + "step": 6261 + }, + { + "epoch": 0.99, + "learning_rate": 4.569598699120103e-09, + "loss": 0.6935, + "step": 6262 + }, + { + "epoch": 0.99, + "learning_rate": 4.416021079370891e-09, + "loss": 0.6987, + "step": 6263 + }, + { + "epoch": 0.99, + "learning_rate": 4.265067951759738e-09, + "loss": 0.645, + "step": 6264 + }, + { + "epoch": 0.99, + "learning_rate": 4.116739355919386e-09, + "loss": 0.6987, + "step": 6265 + }, + { + "epoch": 0.99, + "learning_rate": 3.971035330797568e-09, + "loss": 0.7529, + "step": 6266 + }, + { + "epoch": 0.99, + "learning_rate": 3.827955914649239e-09, + "loss": 0.6812, + "step": 6267 + }, + { + "epoch": 0.99, + "learning_rate": 3.6875011450443476e-09, + "loss": 0.7939, + "step": 6268 + }, + { + "epoch": 0.99, + "learning_rate": 3.5496710588589502e-09, + "loss": 0.7125, + "step": 6269 + }, + { + "epoch": 0.99, + "learning_rate": 3.414465692284097e-09, + "loss": 0.7225, + "step": 6270 + }, + { + "epoch": 0.99, + "learning_rate": 3.2818850808191695e-09, + "loss": 0.6843, + "step": 6271 + }, + { + "epoch": 0.99, + "learning_rate": 3.1519292592763207e-09, + "loss": 0.7551, + "step": 6272 + }, + { + "epoch": 0.99, + "learning_rate": 3.024598261776035e-09, + "loss": 0.2465, + "step": 6273 + }, + { + "epoch": 0.99, + "learning_rate": 2.8998921217515685e-09, + "loss": 0.6602, + "step": 6274 + }, + { + "epoch": 0.99, + "learning_rate": 2.777810871947839e-09, + "loss": 0.7454, + "step": 6275 + }, + { + "epoch": 0.99, + "learning_rate": 2.6583545444158756e-09, + "loss": 0.7455, + "step": 6276 + }, + { + "epoch": 0.99, + "learning_rate": 2.5415231705239184e-09, + "loss": 0.6804, + "step": 6277 + }, + { + "epoch": 0.99, + "learning_rate": 2.4273167809463207e-09, + "loss": 0.674, + "step": 6278 + }, + { + "epoch": 0.99, + "learning_rate": 2.315735405670205e-09, + "loss": 0.7002, + "step": 6279 + }, + { + "epoch": 0.99, + "learning_rate": 2.206779073992138e-09, + "loss": 0.7288, + "step": 6280 + }, + { + "epoch": 0.99, + "learning_rate": 2.1004478145203457e-09, + "loss": 0.7429, + "step": 6281 + }, + { + "epoch": 0.99, + "learning_rate": 1.9967416551758267e-09, + "loss": 0.6963, + "step": 6282 + }, + { + "epoch": 0.99, + "learning_rate": 1.8956606231845808e-09, + "loss": 0.7296, + "step": 6283 + }, + { + "epoch": 0.99, + "learning_rate": 1.79720474508982e-09, + "loss": 0.6934, + "step": 6284 + }, + { + "epoch": 0.99, + "learning_rate": 1.701374046741977e-09, + "loss": 0.7047, + "step": 6285 + }, + { + "epoch": 0.99, + "learning_rate": 1.6081685533031466e-09, + "loss": 0.7532, + "step": 6286 + }, + { + "epoch": 0.99, + "learning_rate": 1.5175882892437544e-09, + "loss": 0.694, + "step": 6287 + }, + { + "epoch": 0.99, + "learning_rate": 1.4296332783503286e-09, + "loss": 0.6936, + "step": 6288 + }, + { + "epoch": 0.99, + "learning_rate": 1.3443035437132879e-09, + "loss": 0.7495, + "step": 6289 + }, + { + "epoch": 1.0, + "learning_rate": 1.2615991077402634e-09, + "loss": 0.6727, + "step": 6290 + }, + { + "epoch": 1.0, + "learning_rate": 1.1815199921449972e-09, + "loss": 0.7333, + "step": 6291 + }, + { + "epoch": 1.0, + "learning_rate": 1.1040662179540029e-09, + "loss": 0.7432, + "step": 6292 + }, + { + "epoch": 1.0, + "learning_rate": 1.029237805503236e-09, + "loss": 0.6414, + "step": 6293 + }, + { + "epoch": 1.0, + "learning_rate": 9.57034774440313e-10, + "loss": 0.7391, + "step": 6294 + }, + { + "epoch": 1.0, + "learning_rate": 8.874571437234025e-10, + "loss": 0.7236, + "step": 6295 + }, + { + "epoch": 1.0, + "learning_rate": 8.205049316223346e-10, + "loss": 0.7067, + "step": 6296 + }, + { + "epoch": 1.0, + "learning_rate": 7.5617815571416e-10, + "loss": 0.6622, + "step": 6297 + }, + { + "epoch": 1.0, + "learning_rate": 6.944768328909224e-10, + "loss": 0.6752, + "step": 6298 + }, + { + "epoch": 1.0, + "learning_rate": 6.354009793507754e-10, + "loss": 0.6951, + "step": 6299 + }, + { + "epoch": 1.0, + "learning_rate": 5.789506106079757e-10, + "loss": 0.6921, + "step": 6300 + }, + { + "epoch": 1.0, + "learning_rate": 5.251257414828903e-10, + "loss": 0.6791, + "step": 6301 + }, + { + "epoch": 1.0, + "learning_rate": 4.739263861075483e-10, + "loss": 0.7623, + "step": 6302 + }, + { + "epoch": 1.0, + "learning_rate": 4.253525579256401e-10, + "loss": 0.6903, + "step": 6303 + }, + { + "epoch": 1.0, + "learning_rate": 3.7940426969140797e-10, + "loss": 0.66, + "step": 6304 + }, + { + "epoch": 1.0, + "learning_rate": 3.3608153346853523e-10, + "loss": 0.7336, + "step": 6305 + }, + { + "epoch": 1.0, + "learning_rate": 2.9538436063236697e-10, + "loss": 0.7314, + "step": 6306 + }, + { + "epoch": 1.0, + "learning_rate": 2.5731276186879984e-10, + "loss": 0.7224, + "step": 6307 + }, + { + "epoch": 1.0, + "learning_rate": 2.218667471731717e-10, + "loss": 0.7366, + "step": 6308 + }, + { + "epoch": 1.0, + "learning_rate": 1.8904632585470262e-10, + "loss": 0.6956, + "step": 6309 + }, + { + "epoch": 1.0, + "learning_rate": 1.5885150652761305e-10, + "loss": 0.7126, + "step": 6310 + }, + { + "epoch": 1.0, + "learning_rate": 1.3128229712222605e-10, + "loss": 0.7449, + "step": 6311 + }, + { + "epoch": 1.0, + "learning_rate": 1.0633870487719577e-10, + "loss": 0.7024, + "step": 6312 + }, + { + "epoch": 1.0, + "learning_rate": 8.402073634172781e-11, + "loss": 0.6858, + "step": 6313 + }, + { + "epoch": 1.0, + "learning_rate": 6.432839737446906e-11, + "loss": 0.7354, + "step": 6314 + }, + { + "epoch": 1.0, + "learning_rate": 4.726169314683837e-11, + "loss": 0.6555, + "step": 6315 + }, + { + "epoch": 1.0, + "learning_rate": 3.282062814080611e-11, + "loss": 0.739, + "step": 6316 + }, + { + "epoch": 1.0, + "learning_rate": 2.1005206146673675e-11, + "loss": 0.7156, + "step": 6317 + }, + { + "epoch": 1.0, + "learning_rate": 1.1815430266404193e-11, + "loss": 0.713, + "step": 6318 + }, + { + "epoch": 1.0, + "learning_rate": 5.2513029158429706e-12, + "loss": 0.7407, + "step": 6319 + }, + { + "epoch": 1.0, + "learning_rate": 1.3128258147254713e-12, + "loss": 0.4417, + "step": 6320 + }, + { + "epoch": 1.0, + "learning_rate": 0.0, + "loss": 0.5141, + "step": 6321 + }, + { + "epoch": 1.0, + "step": 6321, + "total_flos": 4.058200602525355e+19, + "train_loss": 0.7335893932427622, + "train_runtime": 69735.416, + "train_samples_per_second": 11.602, + "train_steps_per_second": 0.091 + } + ], + "max_steps": 6321, + "num_train_epochs": 1, + "total_flos": 4.058200602525355e+19, + "trial_name": null, + "trial_params": null +}