diff --git "a/checkpoint-9268/trainer_state.json" "b/checkpoint-9268/trainer_state.json" new file mode 100644--- /dev/null +++ "b/checkpoint-9268/trainer_state.json" @@ -0,0 +1,55757 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 3.938282261545101, + "eval_steps": 580, + "global_step": 9268, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 3.0000000000000004e-08, + "loss": 1.0668, + "step": 1 + }, + { + "epoch": 0.0, + "eval_loss": 1.2826168537139893, + "eval_runtime": 32.1462, + "eval_samples_per_second": 38.729, + "eval_steps_per_second": 19.38, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 6.000000000000001e-08, + "loss": 0.8466, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 9e-08, + "loss": 1.2213, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 1.2000000000000002e-07, + "loss": 0.8393, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 1.5000000000000002e-07, + "loss": 0.8577, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 1.8e-07, + "loss": 1.2108, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 2.1000000000000003e-07, + "loss": 1.1288, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 2.4000000000000003e-07, + "loss": 1.2298, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 2.7e-07, + "loss": 0.9675, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 3.0000000000000004e-07, + "loss": 1.0311, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 3.3e-07, + "loss": 1.1669, + "step": 11 + }, + { + "epoch": 0.01, + "learning_rate": 3.6e-07, + "loss": 1.6216, + "step": 12 + }, + { + "epoch": 0.01, + "learning_rate": 3.9e-07, + "loss": 0.9954, + "step": 13 + }, + { + "epoch": 0.01, + "learning_rate": 4.2000000000000006e-07, + "loss": 0.9629, + "step": 14 + }, + { + "epoch": 0.01, + "learning_rate": 4.5e-07, + "loss": 1.351, + "step": 15 + }, + { + "epoch": 0.01, + "learning_rate": 4.800000000000001e-07, + "loss": 1.439, + "step": 16 + }, + { + "epoch": 0.01, + "learning_rate": 5.100000000000001e-07, + "loss": 0.8192, + "step": 17 + }, + { + "epoch": 0.01, + "learning_rate": 5.4e-07, + "loss": 1.1661, + "step": 18 + }, + { + "epoch": 0.01, + "learning_rate": 5.7e-07, + "loss": 1.4198, + "step": 19 + }, + { + "epoch": 0.01, + "learning_rate": 6.000000000000001e-07, + "loss": 1.2475, + "step": 20 + }, + { + "epoch": 0.01, + "learning_rate": 6.3e-07, + "loss": 1.1388, + "step": 21 + }, + { + "epoch": 0.01, + "learning_rate": 6.6e-07, + "loss": 1.1168, + "step": 22 + }, + { + "epoch": 0.01, + "learning_rate": 6.900000000000001e-07, + "loss": 1.1218, + "step": 23 + }, + { + "epoch": 0.01, + "learning_rate": 7.2e-07, + "loss": 1.1156, + "step": 24 + }, + { + "epoch": 0.01, + "learning_rate": 7.5e-07, + "loss": 1.1735, + "step": 25 + }, + { + "epoch": 0.01, + "learning_rate": 7.8e-07, + "loss": 0.8957, + "step": 26 + }, + { + "epoch": 0.01, + "learning_rate": 8.100000000000001e-07, + "loss": 1.2886, + "step": 27 + }, + { + "epoch": 0.01, + "learning_rate": 8.400000000000001e-07, + "loss": 0.9394, + "step": 28 + }, + { + "epoch": 0.01, + "learning_rate": 8.699999999999999e-07, + "loss": 1.2861, + "step": 29 + }, + { + "epoch": 0.01, + "learning_rate": 9e-07, + "loss": 0.9532, + "step": 30 + }, + { + "epoch": 0.01, + "learning_rate": 9.3e-07, + "loss": 1.1305, + "step": 31 + }, + { + "epoch": 0.01, + "learning_rate": 9.600000000000001e-07, + "loss": 1.0239, + "step": 32 + }, + { + "epoch": 0.01, + "learning_rate": 9.9e-07, + "loss": 1.142, + "step": 33 + }, + { + "epoch": 0.01, + "learning_rate": 1.0200000000000002e-06, + "loss": 1.5263, + "step": 34 + }, + { + "epoch": 0.02, + "learning_rate": 1.05e-06, + "loss": 0.8998, + "step": 35 + }, + { + "epoch": 0.02, + "learning_rate": 1.08e-06, + "loss": 1.0518, + "step": 36 + }, + { + "epoch": 0.02, + "learning_rate": 1.11e-06, + "loss": 1.3894, + "step": 37 + }, + { + "epoch": 0.02, + "learning_rate": 1.14e-06, + "loss": 0.9561, + "step": 38 + }, + { + "epoch": 0.02, + "learning_rate": 1.17e-06, + "loss": 0.966, + "step": 39 + }, + { + "epoch": 0.02, + "learning_rate": 1.2000000000000002e-06, + "loss": 0.9768, + "step": 40 + }, + { + "epoch": 0.02, + "learning_rate": 1.2299999999999999e-06, + "loss": 0.8566, + "step": 41 + }, + { + "epoch": 0.02, + "learning_rate": 1.26e-06, + "loss": 1.0171, + "step": 42 + }, + { + "epoch": 0.02, + "learning_rate": 1.29e-06, + "loss": 1.0312, + "step": 43 + }, + { + "epoch": 0.02, + "learning_rate": 1.32e-06, + "loss": 0.8851, + "step": 44 + }, + { + "epoch": 0.02, + "learning_rate": 1.35e-06, + "loss": 0.7443, + "step": 45 + }, + { + "epoch": 0.02, + "learning_rate": 1.3800000000000001e-06, + "loss": 0.8973, + "step": 46 + }, + { + "epoch": 0.02, + "learning_rate": 1.41e-06, + "loss": 1.1784, + "step": 47 + }, + { + "epoch": 0.02, + "learning_rate": 1.44e-06, + "loss": 0.9239, + "step": 48 + }, + { + "epoch": 0.02, + "learning_rate": 1.4700000000000001e-06, + "loss": 1.0246, + "step": 49 + }, + { + "epoch": 0.02, + "learning_rate": 1.5e-06, + "loss": 1.2476, + "step": 50 + }, + { + "epoch": 0.02, + "learning_rate": 1.53e-06, + "loss": 0.9587, + "step": 51 + }, + { + "epoch": 0.02, + "learning_rate": 1.56e-06, + "loss": 1.2841, + "step": 52 + }, + { + "epoch": 0.02, + "learning_rate": 1.59e-06, + "loss": 1.0869, + "step": 53 + }, + { + "epoch": 0.02, + "learning_rate": 1.6200000000000002e-06, + "loss": 1.1247, + "step": 54 + }, + { + "epoch": 0.02, + "learning_rate": 1.65e-06, + "loss": 1.1272, + "step": 55 + }, + { + "epoch": 0.02, + "learning_rate": 1.6800000000000002e-06, + "loss": 0.9138, + "step": 56 + }, + { + "epoch": 0.02, + "learning_rate": 1.71e-06, + "loss": 1.438, + "step": 57 + }, + { + "epoch": 0.03, + "learning_rate": 1.7399999999999999e-06, + "loss": 1.3224, + "step": 58 + }, + { + "epoch": 0.03, + "learning_rate": 1.77e-06, + "loss": 0.9889, + "step": 59 + }, + { + "epoch": 0.03, + "learning_rate": 1.8e-06, + "loss": 0.8523, + "step": 60 + }, + { + "epoch": 0.03, + "learning_rate": 1.83e-06, + "loss": 1.1939, + "step": 61 + }, + { + "epoch": 0.03, + "learning_rate": 1.86e-06, + "loss": 1.1811, + "step": 62 + }, + { + "epoch": 0.03, + "learning_rate": 1.8900000000000001e-06, + "loss": 1.0024, + "step": 63 + }, + { + "epoch": 0.03, + "learning_rate": 1.9200000000000003e-06, + "loss": 1.1867, + "step": 64 + }, + { + "epoch": 0.03, + "learning_rate": 1.95e-06, + "loss": 0.7939, + "step": 65 + }, + { + "epoch": 0.03, + "learning_rate": 1.98e-06, + "loss": 1.3442, + "step": 66 + }, + { + "epoch": 0.03, + "learning_rate": 2.0100000000000002e-06, + "loss": 0.8832, + "step": 67 + }, + { + "epoch": 0.03, + "learning_rate": 2.0400000000000004e-06, + "loss": 1.1674, + "step": 68 + }, + { + "epoch": 0.03, + "learning_rate": 2.07e-06, + "loss": 1.2114, + "step": 69 + }, + { + "epoch": 0.03, + "learning_rate": 2.1e-06, + "loss": 1.106, + "step": 70 + }, + { + "epoch": 0.03, + "learning_rate": 2.13e-06, + "loss": 1.1039, + "step": 71 + }, + { + "epoch": 0.03, + "learning_rate": 2.16e-06, + "loss": 1.1667, + "step": 72 + }, + { + "epoch": 0.03, + "learning_rate": 2.19e-06, + "loss": 0.7964, + "step": 73 + }, + { + "epoch": 0.03, + "learning_rate": 2.22e-06, + "loss": 1.0769, + "step": 74 + }, + { + "epoch": 0.03, + "learning_rate": 2.25e-06, + "loss": 0.9755, + "step": 75 + }, + { + "epoch": 0.03, + "learning_rate": 2.28e-06, + "loss": 1.1283, + "step": 76 + }, + { + "epoch": 0.03, + "learning_rate": 2.31e-06, + "loss": 1.0775, + "step": 77 + }, + { + "epoch": 0.03, + "learning_rate": 2.34e-06, + "loss": 0.8156, + "step": 78 + }, + { + "epoch": 0.03, + "learning_rate": 2.37e-06, + "loss": 1.2048, + "step": 79 + }, + { + "epoch": 0.03, + "learning_rate": 2.4000000000000003e-06, + "loss": 1.2663, + "step": 80 + }, + { + "epoch": 0.03, + "learning_rate": 2.43e-06, + "loss": 0.912, + "step": 81 + }, + { + "epoch": 0.04, + "learning_rate": 2.4599999999999997e-06, + "loss": 1.2863, + "step": 82 + }, + { + "epoch": 0.04, + "learning_rate": 2.49e-06, + "loss": 1.2931, + "step": 83 + }, + { + "epoch": 0.04, + "learning_rate": 2.52e-06, + "loss": 1.2188, + "step": 84 + }, + { + "epoch": 0.04, + "learning_rate": 2.55e-06, + "loss": 1.2086, + "step": 85 + }, + { + "epoch": 0.04, + "learning_rate": 2.58e-06, + "loss": 1.0728, + "step": 86 + }, + { + "epoch": 0.04, + "learning_rate": 2.61e-06, + "loss": 1.1219, + "step": 87 + }, + { + "epoch": 0.04, + "learning_rate": 2.64e-06, + "loss": 0.83, + "step": 88 + }, + { + "epoch": 0.04, + "learning_rate": 2.6700000000000003e-06, + "loss": 1.0, + "step": 89 + }, + { + "epoch": 0.04, + "learning_rate": 2.7e-06, + "loss": 1.3198, + "step": 90 + }, + { + "epoch": 0.04, + "learning_rate": 2.73e-06, + "loss": 1.1578, + "step": 91 + }, + { + "epoch": 0.04, + "learning_rate": 2.7600000000000003e-06, + "loss": 1.5981, + "step": 92 + }, + { + "epoch": 0.04, + "learning_rate": 2.7900000000000004e-06, + "loss": 0.9523, + "step": 93 + }, + { + "epoch": 0.04, + "learning_rate": 2.82e-06, + "loss": 1.2175, + "step": 94 + }, + { + "epoch": 0.04, + "learning_rate": 2.85e-06, + "loss": 1.4129, + "step": 95 + }, + { + "epoch": 0.04, + "learning_rate": 2.88e-06, + "loss": 1.3108, + "step": 96 + }, + { + "epoch": 0.04, + "learning_rate": 2.91e-06, + "loss": 0.9933, + "step": 97 + }, + { + "epoch": 0.04, + "learning_rate": 2.9400000000000002e-06, + "loss": 0.7392, + "step": 98 + }, + { + "epoch": 0.04, + "learning_rate": 2.97e-06, + "loss": 1.1855, + "step": 99 + }, + { + "epoch": 0.04, + "learning_rate": 3e-06, + "loss": 1.1607, + "step": 100 + }, + { + "epoch": 0.04, + "learning_rate": 2.9999999119332853e-06, + "loss": 1.4228, + "step": 101 + }, + { + "epoch": 0.04, + "learning_rate": 2.9999996477331517e-06, + "loss": 1.1232, + "step": 102 + }, + { + "epoch": 0.04, + "learning_rate": 2.99999920739963e-06, + "loss": 1.2884, + "step": 103 + }, + { + "epoch": 0.04, + "learning_rate": 2.999998590932772e-06, + "loss": 1.0169, + "step": 104 + }, + { + "epoch": 0.05, + "learning_rate": 2.9999977983326505e-06, + "loss": 0.9785, + "step": 105 + }, + { + "epoch": 0.05, + "learning_rate": 2.999996829599358e-06, + "loss": 1.0029, + "step": 106 + }, + { + "epoch": 0.05, + "learning_rate": 2.999995684733008e-06, + "loss": 1.1143, + "step": 107 + }, + { + "epoch": 0.05, + "learning_rate": 2.9999943637337356e-06, + "loss": 1.0736, + "step": 108 + }, + { + "epoch": 0.05, + "learning_rate": 2.999992866601696e-06, + "loss": 0.8849, + "step": 109 + }, + { + "epoch": 0.05, + "learning_rate": 2.9999911933370647e-06, + "loss": 0.8923, + "step": 110 + }, + { + "epoch": 0.05, + "learning_rate": 2.9999893439400377e-06, + "loss": 0.8946, + "step": 111 + }, + { + "epoch": 0.05, + "learning_rate": 2.9999873184108326e-06, + "loss": 0.8351, + "step": 112 + }, + { + "epoch": 0.05, + "learning_rate": 2.9999851167496876e-06, + "loss": 1.1443, + "step": 113 + }, + { + "epoch": 0.05, + "learning_rate": 2.9999827389568604e-06, + "loss": 0.9161, + "step": 114 + }, + { + "epoch": 0.05, + "learning_rate": 2.9999801850326316e-06, + "loss": 1.0299, + "step": 115 + }, + { + "epoch": 0.05, + "learning_rate": 2.9999774549772992e-06, + "loss": 1.2613, + "step": 116 + }, + { + "epoch": 0.05, + "learning_rate": 2.9999745487911856e-06, + "loss": 0.8642, + "step": 117 + }, + { + "epoch": 0.05, + "learning_rate": 2.999971466474631e-06, + "loss": 1.0066, + "step": 118 + }, + { + "epoch": 0.05, + "learning_rate": 2.999968208027997e-06, + "loss": 1.2261, + "step": 119 + }, + { + "epoch": 0.05, + "learning_rate": 2.9999647734516673e-06, + "loss": 1.0871, + "step": 120 + }, + { + "epoch": 0.05, + "learning_rate": 2.999961162746044e-06, + "loss": 1.1891, + "step": 121 + }, + { + "epoch": 0.05, + "learning_rate": 2.9999573759115524e-06, + "loss": 1.0304, + "step": 122 + }, + { + "epoch": 0.05, + "learning_rate": 2.9999534129486363e-06, + "loss": 1.0613, + "step": 123 + }, + { + "epoch": 0.05, + "learning_rate": 2.999949273857761e-06, + "loss": 1.3572, + "step": 124 + }, + { + "epoch": 0.05, + "learning_rate": 2.9999449586394126e-06, + "loss": 0.6936, + "step": 125 + }, + { + "epoch": 0.05, + "learning_rate": 2.9999404672940985e-06, + "loss": 1.1993, + "step": 126 + }, + { + "epoch": 0.05, + "learning_rate": 2.999935799822345e-06, + "loss": 1.2396, + "step": 127 + }, + { + "epoch": 0.06, + "learning_rate": 2.9999309562247012e-06, + "loss": 1.5032, + "step": 128 + }, + { + "epoch": 0.06, + "learning_rate": 2.9999259365017352e-06, + "loss": 1.2632, + "step": 129 + }, + { + "epoch": 0.06, + "learning_rate": 2.999920740654036e-06, + "loss": 1.2663, + "step": 130 + }, + { + "epoch": 0.06, + "learning_rate": 2.999915368682215e-06, + "loss": 1.4309, + "step": 131 + }, + { + "epoch": 0.06, + "learning_rate": 2.999909820586902e-06, + "loss": 0.9828, + "step": 132 + }, + { + "epoch": 0.06, + "learning_rate": 2.9999040963687485e-06, + "loss": 1.0214, + "step": 133 + }, + { + "epoch": 0.06, + "learning_rate": 2.9998981960284274e-06, + "loss": 1.0738, + "step": 134 + }, + { + "epoch": 0.06, + "learning_rate": 2.9998921195666305e-06, + "loss": 0.9619, + "step": 135 + }, + { + "epoch": 0.06, + "learning_rate": 2.999885866984072e-06, + "loss": 0.9129, + "step": 136 + }, + { + "epoch": 0.06, + "learning_rate": 2.999879438281486e-06, + "loss": 1.2847, + "step": 137 + }, + { + "epoch": 0.06, + "learning_rate": 2.999872833459627e-06, + "loss": 1.3372, + "step": 138 + }, + { + "epoch": 0.06, + "learning_rate": 2.9998660525192714e-06, + "loss": 0.8183, + "step": 139 + }, + { + "epoch": 0.06, + "learning_rate": 2.9998590954612148e-06, + "loss": 0.9985, + "step": 140 + }, + { + "epoch": 0.06, + "learning_rate": 2.9998519622862737e-06, + "loss": 0.9149, + "step": 141 + }, + { + "epoch": 0.06, + "learning_rate": 2.9998446529952864e-06, + "loss": 0.9572, + "step": 142 + }, + { + "epoch": 0.06, + "learning_rate": 2.9998371675891113e-06, + "loss": 0.7757, + "step": 143 + }, + { + "epoch": 0.06, + "learning_rate": 2.9998295060686263e-06, + "loss": 1.1083, + "step": 144 + }, + { + "epoch": 0.06, + "learning_rate": 2.9998216684347323e-06, + "loss": 0.854, + "step": 145 + }, + { + "epoch": 0.06, + "learning_rate": 2.9998136546883488e-06, + "loss": 1.18, + "step": 146 + }, + { + "epoch": 0.06, + "learning_rate": 2.999805464830417e-06, + "loss": 1.3177, + "step": 147 + }, + { + "epoch": 0.06, + "learning_rate": 2.999797098861899e-06, + "loss": 1.4433, + "step": 148 + }, + { + "epoch": 0.06, + "learning_rate": 2.999788556783777e-06, + "loss": 0.8144, + "step": 149 + }, + { + "epoch": 0.06, + "learning_rate": 2.9997798385970528e-06, + "loss": 1.0203, + "step": 150 + }, + { + "epoch": 0.07, + "learning_rate": 2.9997709443027517e-06, + "loss": 1.2566, + "step": 151 + }, + { + "epoch": 0.07, + "learning_rate": 2.999761873901918e-06, + "loss": 0.9373, + "step": 152 + }, + { + "epoch": 0.07, + "learning_rate": 2.9997526273956155e-06, + "loss": 1.0276, + "step": 153 + }, + { + "epoch": 0.07, + "learning_rate": 2.9997432047849313e-06, + "loss": 1.0681, + "step": 154 + }, + { + "epoch": 0.07, + "learning_rate": 2.9997336060709708e-06, + "loss": 0.8111, + "step": 155 + }, + { + "epoch": 0.07, + "learning_rate": 2.9997238312548616e-06, + "loss": 1.2236, + "step": 156 + }, + { + "epoch": 0.07, + "learning_rate": 2.9997138803377512e-06, + "loss": 0.8277, + "step": 157 + }, + { + "epoch": 0.07, + "learning_rate": 2.999703753320809e-06, + "loss": 1.0342, + "step": 158 + }, + { + "epoch": 0.07, + "learning_rate": 2.999693450205223e-06, + "loss": 1.1637, + "step": 159 + }, + { + "epoch": 0.07, + "learning_rate": 2.999682970992203e-06, + "loss": 1.0025, + "step": 160 + }, + { + "epoch": 0.07, + "learning_rate": 2.9996723156829808e-06, + "loss": 0.9595, + "step": 161 + }, + { + "epoch": 0.07, + "learning_rate": 2.9996614842788063e-06, + "loss": 0.9179, + "step": 162 + }, + { + "epoch": 0.07, + "learning_rate": 2.9996504767809514e-06, + "loss": 1.0879, + "step": 163 + }, + { + "epoch": 0.07, + "learning_rate": 2.9996392931907092e-06, + "loss": 1.3426, + "step": 164 + }, + { + "epoch": 0.07, + "learning_rate": 2.999627933509393e-06, + "loss": 0.8249, + "step": 165 + }, + { + "epoch": 0.07, + "learning_rate": 2.9996163977383363e-06, + "loss": 1.1791, + "step": 166 + }, + { + "epoch": 0.07, + "learning_rate": 2.9996046858788937e-06, + "loss": 1.2256, + "step": 167 + }, + { + "epoch": 0.07, + "learning_rate": 2.99959279793244e-06, + "loss": 1.0899, + "step": 168 + }, + { + "epoch": 0.07, + "learning_rate": 2.999580733900372e-06, + "loss": 1.1101, + "step": 169 + }, + { + "epoch": 0.07, + "learning_rate": 2.9995684937841056e-06, + "loss": 1.2585, + "step": 170 + }, + { + "epoch": 0.07, + "learning_rate": 2.999556077585078e-06, + "loss": 1.2754, + "step": 171 + }, + { + "epoch": 0.07, + "learning_rate": 2.9995434853047484e-06, + "loss": 0.7603, + "step": 172 + }, + { + "epoch": 0.07, + "learning_rate": 2.999530716944594e-06, + "loss": 1.0474, + "step": 173 + }, + { + "epoch": 0.08, + "learning_rate": 2.9995177725061144e-06, + "loss": 0.7295, + "step": 174 + }, + { + "epoch": 0.08, + "learning_rate": 2.9995046519908298e-06, + "loss": 1.0647, + "step": 175 + }, + { + "epoch": 0.08, + "learning_rate": 2.9994913554002806e-06, + "loss": 0.9525, + "step": 176 + }, + { + "epoch": 0.08, + "learning_rate": 2.9994778827360287e-06, + "loss": 1.2188, + "step": 177 + }, + { + "epoch": 0.08, + "learning_rate": 2.999464233999655e-06, + "loss": 1.3339, + "step": 178 + }, + { + "epoch": 0.08, + "learning_rate": 2.9994504091927633e-06, + "loss": 1.2849, + "step": 179 + }, + { + "epoch": 0.08, + "learning_rate": 2.999436408316976e-06, + "loss": 1.2665, + "step": 180 + }, + { + "epoch": 0.08, + "learning_rate": 2.9994222313739387e-06, + "loss": 1.0031, + "step": 181 + }, + { + "epoch": 0.08, + "learning_rate": 2.999407878365314e-06, + "loss": 0.991, + "step": 182 + }, + { + "epoch": 0.08, + "learning_rate": 2.9993933492927883e-06, + "loss": 0.99, + "step": 183 + }, + { + "epoch": 0.08, + "learning_rate": 2.999378644158068e-06, + "loss": 0.9756, + "step": 184 + }, + { + "epoch": 0.08, + "learning_rate": 2.9993637629628788e-06, + "loss": 1.213, + "step": 185 + }, + { + "epoch": 0.08, + "learning_rate": 2.9993487057089693e-06, + "loss": 1.1675, + "step": 186 + }, + { + "epoch": 0.08, + "learning_rate": 2.9993334723981064e-06, + "loss": 1.0255, + "step": 187 + }, + { + "epoch": 0.08, + "learning_rate": 2.9993180630320795e-06, + "loss": 0.6903, + "step": 188 + }, + { + "epoch": 0.08, + "learning_rate": 2.9993024776126977e-06, + "loss": 1.157, + "step": 189 + }, + { + "epoch": 0.08, + "learning_rate": 2.9992867161417915e-06, + "loss": 1.027, + "step": 190 + }, + { + "epoch": 0.08, + "learning_rate": 2.9992707786212113e-06, + "loss": 0.8395, + "step": 191 + }, + { + "epoch": 0.08, + "learning_rate": 2.999254665052829e-06, + "loss": 0.8944, + "step": 192 + }, + { + "epoch": 0.08, + "learning_rate": 2.9992383754385356e-06, + "loss": 0.6681, + "step": 193 + }, + { + "epoch": 0.08, + "learning_rate": 2.999221909780245e-06, + "loss": 0.8785, + "step": 194 + }, + { + "epoch": 0.08, + "learning_rate": 2.99920526807989e-06, + "loss": 1.0981, + "step": 195 + }, + { + "epoch": 0.08, + "learning_rate": 2.9991884503394254e-06, + "loss": 1.3946, + "step": 196 + }, + { + "epoch": 0.09, + "learning_rate": 2.999171456560825e-06, + "loss": 1.0832, + "step": 197 + }, + { + "epoch": 0.09, + "learning_rate": 2.9991542867460844e-06, + "loss": 0.8644, + "step": 198 + }, + { + "epoch": 0.09, + "learning_rate": 2.999136940897221e-06, + "loss": 1.0757, + "step": 199 + }, + { + "epoch": 0.09, + "learning_rate": 2.99911941901627e-06, + "loss": 1.2222, + "step": 200 + }, + { + "epoch": 0.09, + "learning_rate": 2.999101721105289e-06, + "loss": 1.1069, + "step": 201 + }, + { + "epoch": 0.09, + "learning_rate": 2.9990838471663574e-06, + "loss": 1.271, + "step": 202 + }, + { + "epoch": 0.09, + "learning_rate": 2.9990657972015732e-06, + "loss": 1.1228, + "step": 203 + }, + { + "epoch": 0.09, + "learning_rate": 2.9990475712130558e-06, + "loss": 1.246, + "step": 204 + }, + { + "epoch": 0.09, + "learning_rate": 2.999029169202945e-06, + "loss": 1.0935, + "step": 205 + }, + { + "epoch": 0.09, + "learning_rate": 2.9990105911734025e-06, + "loss": 0.8214, + "step": 206 + }, + { + "epoch": 0.09, + "learning_rate": 2.998991837126609e-06, + "loss": 1.3406, + "step": 207 + }, + { + "epoch": 0.09, + "learning_rate": 2.998972907064767e-06, + "loss": 0.6968, + "step": 208 + }, + { + "epoch": 0.09, + "learning_rate": 2.9989538009900995e-06, + "loss": 0.9547, + "step": 209 + }, + { + "epoch": 0.09, + "learning_rate": 2.9989345189048496e-06, + "loss": 1.1176, + "step": 210 + }, + { + "epoch": 0.09, + "learning_rate": 2.9989150608112816e-06, + "loss": 1.1492, + "step": 211 + }, + { + "epoch": 0.09, + "learning_rate": 2.99889542671168e-06, + "loss": 1.3651, + "step": 212 + }, + { + "epoch": 0.09, + "learning_rate": 2.998875616608351e-06, + "loss": 0.9929, + "step": 213 + }, + { + "epoch": 0.09, + "learning_rate": 2.9988556305036204e-06, + "loss": 0.9426, + "step": 214 + }, + { + "epoch": 0.09, + "learning_rate": 2.9988354683998346e-06, + "loss": 1.3901, + "step": 215 + }, + { + "epoch": 0.09, + "learning_rate": 2.998815130299362e-06, + "loss": 1.1086, + "step": 216 + }, + { + "epoch": 0.09, + "learning_rate": 2.9987946162045893e-06, + "loss": 1.0862, + "step": 217 + }, + { + "epoch": 0.09, + "learning_rate": 2.998773926117927e-06, + "loss": 0.8931, + "step": 218 + }, + { + "epoch": 0.09, + "learning_rate": 2.998753060041803e-06, + "loss": 1.2757, + "step": 219 + }, + { + "epoch": 0.09, + "learning_rate": 2.9987320179786684e-06, + "loss": 1.0679, + "step": 220 + }, + { + "epoch": 0.1, + "learning_rate": 2.9987107999309943e-06, + "loss": 1.3329, + "step": 221 + }, + { + "epoch": 0.1, + "learning_rate": 2.998689405901271e-06, + "loss": 1.1216, + "step": 222 + }, + { + "epoch": 0.1, + "learning_rate": 2.9986678358920118e-06, + "loss": 1.1358, + "step": 223 + }, + { + "epoch": 0.1, + "learning_rate": 2.998646089905749e-06, + "loss": 0.9812, + "step": 224 + }, + { + "epoch": 0.1, + "learning_rate": 2.998624167945036e-06, + "loss": 0.9288, + "step": 225 + }, + { + "epoch": 0.1, + "learning_rate": 2.9986020700124472e-06, + "loss": 1.2316, + "step": 226 + }, + { + "epoch": 0.1, + "learning_rate": 2.9985797961105767e-06, + "loss": 1.2547, + "step": 227 + }, + { + "epoch": 0.1, + "learning_rate": 2.9985573462420406e-06, + "loss": 1.361, + "step": 228 + }, + { + "epoch": 0.1, + "learning_rate": 2.998534720409475e-06, + "loss": 0.9254, + "step": 229 + }, + { + "epoch": 0.1, + "learning_rate": 2.9985119186155367e-06, + "loss": 0.7791, + "step": 230 + }, + { + "epoch": 0.1, + "learning_rate": 2.998488940862903e-06, + "loss": 0.8094, + "step": 231 + }, + { + "epoch": 0.1, + "learning_rate": 2.9984657871542716e-06, + "loss": 1.2043, + "step": 232 + }, + { + "epoch": 0.1, + "learning_rate": 2.9984424574923617e-06, + "loss": 0.705, + "step": 233 + }, + { + "epoch": 0.1, + "learning_rate": 2.998418951879913e-06, + "loss": 1.0795, + "step": 234 + }, + { + "epoch": 0.1, + "learning_rate": 2.998395270319685e-06, + "loss": 1.1087, + "step": 235 + }, + { + "epoch": 0.1, + "learning_rate": 2.9983714128144586e-06, + "loss": 1.1531, + "step": 236 + }, + { + "epoch": 0.1, + "learning_rate": 2.9983473793670352e-06, + "loss": 1.0689, + "step": 237 + }, + { + "epoch": 0.1, + "learning_rate": 2.998323169980237e-06, + "loss": 1.001, + "step": 238 + }, + { + "epoch": 0.1, + "learning_rate": 2.998298784656907e-06, + "loss": 1.291, + "step": 239 + }, + { + "epoch": 0.1, + "learning_rate": 2.9982742233999083e-06, + "loss": 1.0116, + "step": 240 + }, + { + "epoch": 0.1, + "learning_rate": 2.9982494862121242e-06, + "loss": 1.3948, + "step": 241 + }, + { + "epoch": 0.1, + "learning_rate": 2.998224573096461e-06, + "loss": 1.3862, + "step": 242 + }, + { + "epoch": 0.1, + "learning_rate": 2.9981994840558425e-06, + "loss": 1.0777, + "step": 243 + }, + { + "epoch": 0.11, + "learning_rate": 2.9981742190932157e-06, + "loss": 0.8814, + "step": 244 + }, + { + "epoch": 0.11, + "learning_rate": 2.9981487782115467e-06, + "loss": 1.1321, + "step": 245 + }, + { + "epoch": 0.11, + "learning_rate": 2.9981231614138232e-06, + "loss": 1.0211, + "step": 246 + }, + { + "epoch": 0.11, + "learning_rate": 2.998097368703053e-06, + "loss": 1.0228, + "step": 247 + }, + { + "epoch": 0.11, + "learning_rate": 2.998071400082265e-06, + "loss": 1.3191, + "step": 248 + }, + { + "epoch": 0.11, + "learning_rate": 2.998045255554508e-06, + "loss": 1.0901, + "step": 249 + }, + { + "epoch": 0.11, + "learning_rate": 2.998018935122852e-06, + "loss": 0.6744, + "step": 250 + }, + { + "epoch": 0.11, + "learning_rate": 2.9979924387903883e-06, + "loss": 0.9755, + "step": 251 + }, + { + "epoch": 0.11, + "learning_rate": 2.9979657665602272e-06, + "loss": 0.8063, + "step": 252 + }, + { + "epoch": 0.11, + "learning_rate": 2.9979389184355016e-06, + "loss": 1.2921, + "step": 253 + }, + { + "epoch": 0.11, + "learning_rate": 2.997911894419363e-06, + "loss": 0.9761, + "step": 254 + }, + { + "epoch": 0.11, + "learning_rate": 2.9978846945149857e-06, + "loss": 0.5217, + "step": 255 + }, + { + "epoch": 0.11, + "learning_rate": 2.997857318725563e-06, + "loss": 0.7982, + "step": 256 + }, + { + "epoch": 0.11, + "learning_rate": 2.9978297670543096e-06, + "loss": 1.0839, + "step": 257 + }, + { + "epoch": 0.11, + "learning_rate": 2.9978020395044604e-06, + "loss": 1.1431, + "step": 258 + }, + { + "epoch": 0.11, + "learning_rate": 2.9977741360792714e-06, + "loss": 1.1052, + "step": 259 + }, + { + "epoch": 0.11, + "learning_rate": 2.997746056782019e-06, + "loss": 1.0418, + "step": 260 + }, + { + "epoch": 0.11, + "learning_rate": 2.9977178016160003e-06, + "loss": 0.887, + "step": 261 + }, + { + "epoch": 0.11, + "learning_rate": 2.9976893705845335e-06, + "loss": 0.9713, + "step": 262 + }, + { + "epoch": 0.11, + "learning_rate": 2.9976607636909567e-06, + "loss": 0.7808, + "step": 263 + }, + { + "epoch": 0.11, + "learning_rate": 2.997631980938629e-06, + "loss": 0.9612, + "step": 264 + }, + { + "epoch": 0.11, + "learning_rate": 2.99760302233093e-06, + "loss": 0.4437, + "step": 265 + }, + { + "epoch": 0.11, + "learning_rate": 2.9975738878712604e-06, + "loss": 0.7912, + "step": 266 + }, + { + "epoch": 0.12, + "learning_rate": 2.9975445775630413e-06, + "loss": 1.0223, + "step": 267 + }, + { + "epoch": 0.12, + "learning_rate": 2.997515091409714e-06, + "loss": 1.4806, + "step": 268 + }, + { + "epoch": 0.12, + "learning_rate": 2.997485429414741e-06, + "loss": 1.1292, + "step": 269 + }, + { + "epoch": 0.12, + "learning_rate": 2.997455591581605e-06, + "loss": 1.0272, + "step": 270 + }, + { + "epoch": 0.12, + "learning_rate": 2.9974255779138103e-06, + "loss": 0.9612, + "step": 271 + }, + { + "epoch": 0.12, + "learning_rate": 2.9973953884148806e-06, + "loss": 0.9025, + "step": 272 + }, + { + "epoch": 0.12, + "learning_rate": 2.9973650230883614e-06, + "loss": 1.1176, + "step": 273 + }, + { + "epoch": 0.12, + "learning_rate": 2.9973344819378176e-06, + "loss": 0.9855, + "step": 274 + }, + { + "epoch": 0.12, + "learning_rate": 2.9973037649668354e-06, + "loss": 1.352, + "step": 275 + }, + { + "epoch": 0.12, + "learning_rate": 2.997272872179022e-06, + "loss": 1.1453, + "step": 276 + }, + { + "epoch": 0.12, + "learning_rate": 2.997241803578005e-06, + "loss": 1.059, + "step": 277 + }, + { + "epoch": 0.12, + "learning_rate": 2.9972105591674327e-06, + "loss": 1.3455, + "step": 278 + }, + { + "epoch": 0.12, + "learning_rate": 2.9971791389509734e-06, + "loss": 0.7754, + "step": 279 + }, + { + "epoch": 0.12, + "learning_rate": 2.997147542932317e-06, + "loss": 1.1969, + "step": 280 + }, + { + "epoch": 0.12, + "learning_rate": 2.997115771115172e-06, + "loss": 1.0207, + "step": 281 + }, + { + "epoch": 0.12, + "learning_rate": 2.9970838235032718e-06, + "loss": 0.9992, + "step": 282 + }, + { + "epoch": 0.12, + "learning_rate": 2.997051700100366e-06, + "loss": 1.0629, + "step": 283 + }, + { + "epoch": 0.12, + "learning_rate": 2.9970194009102266e-06, + "loss": 1.3236, + "step": 284 + }, + { + "epoch": 0.12, + "learning_rate": 2.996986925936647e-06, + "loss": 0.6324, + "step": 285 + }, + { + "epoch": 0.12, + "learning_rate": 2.99695427518344e-06, + "loss": 0.7605, + "step": 286 + }, + { + "epoch": 0.12, + "learning_rate": 2.9969214486544396e-06, + "loss": 1.0257, + "step": 287 + }, + { + "epoch": 0.12, + "learning_rate": 2.9968884463535e-06, + "loss": 1.1605, + "step": 288 + }, + { + "epoch": 0.12, + "learning_rate": 2.9968552682844976e-06, + "loss": 1.3859, + "step": 289 + }, + { + "epoch": 0.13, + "learning_rate": 2.9968219144513274e-06, + "loss": 0.7384, + "step": 290 + }, + { + "epoch": 0.13, + "learning_rate": 2.996788384857905e-06, + "loss": 1.6353, + "step": 291 + }, + { + "epoch": 0.13, + "learning_rate": 2.9967546795081692e-06, + "loss": 1.2559, + "step": 292 + }, + { + "epoch": 0.13, + "learning_rate": 2.9967207984060772e-06, + "loss": 1.0661, + "step": 293 + }, + { + "epoch": 0.13, + "learning_rate": 2.9966867415556067e-06, + "loss": 1.1527, + "step": 294 + }, + { + "epoch": 0.13, + "learning_rate": 2.9966525089607574e-06, + "loss": 0.8175, + "step": 295 + }, + { + "epoch": 0.13, + "learning_rate": 2.996618100625549e-06, + "loss": 1.3451, + "step": 296 + }, + { + "epoch": 0.13, + "learning_rate": 2.996583516554021e-06, + "loss": 0.8253, + "step": 297 + }, + { + "epoch": 0.13, + "learning_rate": 2.9965487567502356e-06, + "loss": 1.0656, + "step": 298 + }, + { + "epoch": 0.13, + "learning_rate": 2.9965138212182737e-06, + "loss": 1.2254, + "step": 299 + }, + { + "epoch": 0.13, + "learning_rate": 2.9964787099622372e-06, + "loss": 1.6709, + "step": 300 + }, + { + "epoch": 0.13, + "learning_rate": 2.9964434229862496e-06, + "loss": 0.8667, + "step": 301 + }, + { + "epoch": 0.13, + "learning_rate": 2.996407960294454e-06, + "loss": 1.1178, + "step": 302 + }, + { + "epoch": 0.13, + "learning_rate": 2.9963723218910144e-06, + "loss": 0.8534, + "step": 303 + }, + { + "epoch": 0.13, + "learning_rate": 2.9963365077801156e-06, + "loss": 0.945, + "step": 304 + }, + { + "epoch": 0.13, + "learning_rate": 2.9963005179659637e-06, + "loss": 1.0545, + "step": 305 + }, + { + "epoch": 0.13, + "learning_rate": 2.996264352452784e-06, + "loss": 0.9398, + "step": 306 + }, + { + "epoch": 0.13, + "learning_rate": 2.9962280112448225e-06, + "loss": 1.1415, + "step": 307 + }, + { + "epoch": 0.13, + "learning_rate": 2.9961914943463476e-06, + "loss": 0.9068, + "step": 308 + }, + { + "epoch": 0.13, + "learning_rate": 2.996154801761647e-06, + "loss": 1.2247, + "step": 309 + }, + { + "epoch": 0.13, + "learning_rate": 2.9961179334950286e-06, + "loss": 0.9266, + "step": 310 + }, + { + "epoch": 0.13, + "learning_rate": 2.9960808895508226e-06, + "loss": 1.0856, + "step": 311 + }, + { + "epoch": 0.13, + "learning_rate": 2.9960436699333775e-06, + "loss": 0.9896, + "step": 312 + }, + { + "epoch": 0.14, + "learning_rate": 2.996006274647065e-06, + "loss": 1.0751, + "step": 313 + }, + { + "epoch": 0.14, + "learning_rate": 2.9959687036962753e-06, + "loss": 1.2232, + "step": 314 + }, + { + "epoch": 0.14, + "learning_rate": 2.99593095708542e-06, + "loss": 1.0885, + "step": 315 + }, + { + "epoch": 0.14, + "learning_rate": 2.995893034818932e-06, + "loss": 0.7979, + "step": 316 + }, + { + "epoch": 0.14, + "learning_rate": 2.995854936901264e-06, + "loss": 0.8242, + "step": 317 + }, + { + "epoch": 0.14, + "learning_rate": 2.995816663336889e-06, + "loss": 1.2643, + "step": 318 + }, + { + "epoch": 0.14, + "learning_rate": 2.9957782141303018e-06, + "loss": 1.0537, + "step": 319 + }, + { + "epoch": 0.14, + "learning_rate": 2.9957395892860175e-06, + "loss": 1.1472, + "step": 320 + }, + { + "epoch": 0.14, + "learning_rate": 2.9957007888085703e-06, + "loss": 0.8924, + "step": 321 + }, + { + "epoch": 0.14, + "learning_rate": 2.995661812702517e-06, + "loss": 1.2104, + "step": 322 + }, + { + "epoch": 0.14, + "learning_rate": 2.9956226609724343e-06, + "loss": 0.9627, + "step": 323 + }, + { + "epoch": 0.14, + "learning_rate": 2.99558333362292e-06, + "loss": 0.9223, + "step": 324 + }, + { + "epoch": 0.14, + "learning_rate": 2.9955438306585913e-06, + "loss": 0.8288, + "step": 325 + }, + { + "epoch": 0.14, + "learning_rate": 2.9955041520840864e-06, + "loss": 1.0866, + "step": 326 + }, + { + "epoch": 0.14, + "learning_rate": 2.995464297904065e-06, + "loss": 0.7675, + "step": 327 + }, + { + "epoch": 0.14, + "learning_rate": 2.995424268123207e-06, + "loss": 1.0087, + "step": 328 + }, + { + "epoch": 0.14, + "learning_rate": 2.995384062746212e-06, + "loss": 1.1538, + "step": 329 + }, + { + "epoch": 0.14, + "learning_rate": 2.9953436817778023e-06, + "loss": 1.0517, + "step": 330 + }, + { + "epoch": 0.14, + "learning_rate": 2.9953031252227186e-06, + "loss": 0.9318, + "step": 331 + }, + { + "epoch": 0.14, + "learning_rate": 2.9952623930857233e-06, + "loss": 1.0032, + "step": 332 + }, + { + "epoch": 0.14, + "learning_rate": 2.9952214853715993e-06, + "loss": 0.9167, + "step": 333 + }, + { + "epoch": 0.14, + "learning_rate": 2.9951804020851497e-06, + "loss": 1.0245, + "step": 334 + }, + { + "epoch": 0.14, + "learning_rate": 2.995139143231199e-06, + "loss": 1.185, + "step": 335 + }, + { + "epoch": 0.15, + "learning_rate": 2.995097708814592e-06, + "loss": 0.8543, + "step": 336 + }, + { + "epoch": 0.15, + "learning_rate": 2.9950560988401945e-06, + "loss": 0.8485, + "step": 337 + }, + { + "epoch": 0.15, + "learning_rate": 2.995014313312891e-06, + "loss": 1.1215, + "step": 338 + }, + { + "epoch": 0.15, + "learning_rate": 2.994972352237589e-06, + "loss": 0.8368, + "step": 339 + }, + { + "epoch": 0.15, + "learning_rate": 2.994930215619216e-06, + "loss": 1.2811, + "step": 340 + }, + { + "epoch": 0.15, + "learning_rate": 2.9948879034627195e-06, + "loss": 1.2706, + "step": 341 + }, + { + "epoch": 0.15, + "learning_rate": 2.994845415773067e-06, + "loss": 1.3247, + "step": 342 + }, + { + "epoch": 0.15, + "learning_rate": 2.9948027525552487e-06, + "loss": 1.5791, + "step": 343 + }, + { + "epoch": 0.15, + "learning_rate": 2.994759913814274e-06, + "loss": 1.1183, + "step": 344 + }, + { + "epoch": 0.15, + "learning_rate": 2.994716899555172e-06, + "loss": 0.9277, + "step": 345 + }, + { + "epoch": 0.15, + "learning_rate": 2.994673709782995e-06, + "loss": 1.1398, + "step": 346 + }, + { + "epoch": 0.15, + "learning_rate": 2.9946303445028136e-06, + "loss": 0.9636, + "step": 347 + }, + { + "epoch": 0.15, + "learning_rate": 2.9945868037197203e-06, + "loss": 1.0631, + "step": 348 + }, + { + "epoch": 0.15, + "learning_rate": 2.9945430874388274e-06, + "loss": 1.0427, + "step": 349 + }, + { + "epoch": 0.15, + "learning_rate": 2.9944991956652686e-06, + "loss": 0.9942, + "step": 350 + }, + { + "epoch": 0.15, + "learning_rate": 2.994455128404197e-06, + "loss": 1.0084, + "step": 351 + }, + { + "epoch": 0.15, + "learning_rate": 2.9944108856607874e-06, + "loss": 0.9839, + "step": 352 + }, + { + "epoch": 0.15, + "learning_rate": 2.9943664674402357e-06, + "loss": 1.1796, + "step": 353 + }, + { + "epoch": 0.15, + "learning_rate": 2.9943218737477564e-06, + "loss": 1.3111, + "step": 354 + }, + { + "epoch": 0.15, + "learning_rate": 2.994277104588587e-06, + "loss": 0.9406, + "step": 355 + }, + { + "epoch": 0.15, + "learning_rate": 2.9942321599679833e-06, + "loss": 0.9456, + "step": 356 + }, + { + "epoch": 0.15, + "learning_rate": 2.9941870398912232e-06, + "loss": 1.0495, + "step": 357 + }, + { + "epoch": 0.15, + "learning_rate": 2.9941417443636046e-06, + "loss": 1.033, + "step": 358 + }, + { + "epoch": 0.15, + "learning_rate": 2.994096273390447e-06, + "loss": 1.0279, + "step": 359 + }, + { + "epoch": 0.16, + "learning_rate": 2.9940506269770886e-06, + "loss": 0.8449, + "step": 360 + }, + { + "epoch": 0.16, + "learning_rate": 2.99400480512889e-06, + "loss": 1.0743, + "step": 361 + }, + { + "epoch": 0.16, + "learning_rate": 2.993958807851232e-06, + "loss": 1.1996, + "step": 362 + }, + { + "epoch": 0.16, + "learning_rate": 2.993912635149515e-06, + "loss": 1.2913, + "step": 363 + }, + { + "epoch": 0.16, + "learning_rate": 2.9938662870291604e-06, + "loss": 1.0936, + "step": 364 + }, + { + "epoch": 0.16, + "learning_rate": 2.9938197634956115e-06, + "loss": 0.9745, + "step": 365 + }, + { + "epoch": 0.16, + "learning_rate": 2.9937730645543307e-06, + "loss": 1.0071, + "step": 366 + }, + { + "epoch": 0.16, + "learning_rate": 2.9937261902108017e-06, + "loss": 1.1672, + "step": 367 + }, + { + "epoch": 0.16, + "learning_rate": 2.9936791404705285e-06, + "loss": 1.7294, + "step": 368 + }, + { + "epoch": 0.16, + "learning_rate": 2.9936319153390354e-06, + "loss": 1.1222, + "step": 369 + }, + { + "epoch": 0.16, + "learning_rate": 2.9935845148218684e-06, + "loss": 1.0851, + "step": 370 + }, + { + "epoch": 0.16, + "learning_rate": 2.9935369389245925e-06, + "loss": 1.1429, + "step": 371 + }, + { + "epoch": 0.16, + "learning_rate": 2.9934891876527952e-06, + "loss": 1.5181, + "step": 372 + }, + { + "epoch": 0.16, + "learning_rate": 2.9934412610120826e-06, + "loss": 1.3844, + "step": 373 + }, + { + "epoch": 0.16, + "learning_rate": 2.993393159008083e-06, + "loss": 1.4567, + "step": 374 + }, + { + "epoch": 0.16, + "learning_rate": 2.9933448816464444e-06, + "loss": 1.095, + "step": 375 + }, + { + "epoch": 0.16, + "learning_rate": 2.9932964289328356e-06, + "loss": 1.1531, + "step": 376 + }, + { + "epoch": 0.16, + "learning_rate": 2.9932478008729464e-06, + "loss": 0.9975, + "step": 377 + }, + { + "epoch": 0.16, + "learning_rate": 2.993198997472486e-06, + "loss": 1.2656, + "step": 378 + }, + { + "epoch": 0.16, + "learning_rate": 2.993150018737186e-06, + "loss": 1.4983, + "step": 379 + }, + { + "epoch": 0.16, + "learning_rate": 2.993100864672797e-06, + "loss": 1.125, + "step": 380 + }, + { + "epoch": 0.16, + "learning_rate": 2.993051535285091e-06, + "loss": 1.0912, + "step": 381 + }, + { + "epoch": 0.16, + "learning_rate": 2.9930020305798596e-06, + "loss": 0.9772, + "step": 382 + }, + { + "epoch": 0.17, + "learning_rate": 2.9929523505629175e-06, + "loss": 0.8309, + "step": 383 + }, + { + "epoch": 0.17, + "learning_rate": 2.9929024952400966e-06, + "loss": 1.1034, + "step": 384 + }, + { + "epoch": 0.17, + "learning_rate": 2.9928524646172517e-06, + "loss": 1.1266, + "step": 385 + }, + { + "epoch": 0.17, + "learning_rate": 2.992802258700257e-06, + "loss": 0.7076, + "step": 386 + }, + { + "epoch": 0.17, + "learning_rate": 2.992751877495009e-06, + "loss": 1.0077, + "step": 387 + }, + { + "epoch": 0.17, + "learning_rate": 2.992701321007422e-06, + "loss": 1.0197, + "step": 388 + }, + { + "epoch": 0.17, + "learning_rate": 2.9926505892434334e-06, + "loss": 1.1103, + "step": 389 + }, + { + "epoch": 0.17, + "learning_rate": 2.9925996822090006e-06, + "loss": 0.9896, + "step": 390 + }, + { + "epoch": 0.17, + "learning_rate": 2.9925485999101e-06, + "loss": 1.1594, + "step": 391 + }, + { + "epoch": 0.17, + "learning_rate": 2.992497342352731e-06, + "loss": 0.926, + "step": 392 + }, + { + "epoch": 0.17, + "learning_rate": 2.9924459095429116e-06, + "loss": 1.168, + "step": 393 + }, + { + "epoch": 0.17, + "learning_rate": 2.9923943014866813e-06, + "loss": 0.5834, + "step": 394 + }, + { + "epoch": 0.17, + "learning_rate": 2.9923425181901004e-06, + "loss": 1.0797, + "step": 395 + }, + { + "epoch": 0.17, + "learning_rate": 2.992290559659249e-06, + "loss": 0.8887, + "step": 396 + }, + { + "epoch": 0.17, + "learning_rate": 2.9922384259002286e-06, + "loss": 0.8068, + "step": 397 + }, + { + "epoch": 0.17, + "learning_rate": 2.9921861169191607e-06, + "loss": 0.9613, + "step": 398 + }, + { + "epoch": 0.17, + "learning_rate": 2.9921336327221876e-06, + "loss": 1.1375, + "step": 399 + }, + { + "epoch": 0.17, + "learning_rate": 2.9920809733154715e-06, + "loss": 1.0678, + "step": 400 + }, + { + "epoch": 0.17, + "learning_rate": 2.9920281387051965e-06, + "loss": 0.7456, + "step": 401 + }, + { + "epoch": 0.17, + "learning_rate": 2.9919751288975664e-06, + "loss": 0.9705, + "step": 402 + }, + { + "epoch": 0.17, + "learning_rate": 2.9919219438988055e-06, + "loss": 1.1648, + "step": 403 + }, + { + "epoch": 0.17, + "learning_rate": 2.9918685837151594e-06, + "loss": 1.0508, + "step": 404 + }, + { + "epoch": 0.17, + "learning_rate": 2.9918150483528932e-06, + "loss": 0.6299, + "step": 405 + }, + { + "epoch": 0.18, + "learning_rate": 2.9917613378182937e-06, + "loss": 1.1415, + "step": 406 + }, + { + "epoch": 0.18, + "learning_rate": 2.9917074521176664e-06, + "loss": 0.9854, + "step": 407 + }, + { + "epoch": 0.18, + "learning_rate": 2.991653391257341e-06, + "loss": 1.0443, + "step": 408 + }, + { + "epoch": 0.18, + "learning_rate": 2.9915991552436633e-06, + "loss": 1.0263, + "step": 409 + }, + { + "epoch": 0.18, + "learning_rate": 2.991544744083003e-06, + "loss": 1.0909, + "step": 410 + }, + { + "epoch": 0.18, + "learning_rate": 2.9914901577817486e-06, + "loss": 1.2664, + "step": 411 + }, + { + "epoch": 0.18, + "learning_rate": 2.99143539634631e-06, + "loss": 1.266, + "step": 412 + }, + { + "epoch": 0.18, + "learning_rate": 2.9913804597831178e-06, + "loss": 1.428, + "step": 413 + }, + { + "epoch": 0.18, + "learning_rate": 2.9913253480986223e-06, + "loss": 1.2817, + "step": 414 + }, + { + "epoch": 0.18, + "learning_rate": 2.9912700612992946e-06, + "loss": 0.9364, + "step": 415 + }, + { + "epoch": 0.18, + "learning_rate": 2.9912145993916273e-06, + "loss": 0.9314, + "step": 416 + }, + { + "epoch": 0.18, + "learning_rate": 2.991158962382132e-06, + "loss": 1.0493, + "step": 417 + }, + { + "epoch": 0.18, + "learning_rate": 2.9911031502773425e-06, + "loss": 1.1937, + "step": 418 + }, + { + "epoch": 0.18, + "learning_rate": 2.991047163083812e-06, + "loss": 0.8765, + "step": 419 + }, + { + "epoch": 0.18, + "learning_rate": 2.990991000808115e-06, + "loss": 0.9615, + "step": 420 + }, + { + "epoch": 0.18, + "learning_rate": 2.990934663456846e-06, + "loss": 0.9097, + "step": 421 + }, + { + "epoch": 0.18, + "learning_rate": 2.99087815103662e-06, + "loss": 1.0979, + "step": 422 + }, + { + "epoch": 0.18, + "learning_rate": 2.9908214635540725e-06, + "loss": 1.1106, + "step": 423 + }, + { + "epoch": 0.18, + "learning_rate": 2.990764601015861e-06, + "loss": 1.2386, + "step": 424 + }, + { + "epoch": 0.18, + "learning_rate": 2.990707563428662e-06, + "loss": 1.1282, + "step": 425 + }, + { + "epoch": 0.18, + "learning_rate": 2.9906503507991723e-06, + "loss": 1.0755, + "step": 426 + }, + { + "epoch": 0.18, + "learning_rate": 2.9905929631341105e-06, + "loss": 1.1004, + "step": 427 + }, + { + "epoch": 0.18, + "learning_rate": 2.9905354004402154e-06, + "loss": 1.0042, + "step": 428 + }, + { + "epoch": 0.19, + "learning_rate": 2.990477662724246e-06, + "loss": 1.0024, + "step": 429 + }, + { + "epoch": 0.19, + "learning_rate": 2.9904197499929815e-06, + "loss": 1.0323, + "step": 430 + }, + { + "epoch": 0.19, + "learning_rate": 2.9903616622532224e-06, + "loss": 1.27, + "step": 431 + }, + { + "epoch": 0.19, + "learning_rate": 2.9903033995117897e-06, + "loss": 1.2566, + "step": 432 + }, + { + "epoch": 0.19, + "learning_rate": 2.9902449617755253e-06, + "loss": 0.7985, + "step": 433 + }, + { + "epoch": 0.19, + "learning_rate": 2.9901863490512897e-06, + "loss": 1.1392, + "step": 434 + }, + { + "epoch": 0.19, + "learning_rate": 2.9901275613459667e-06, + "loss": 1.2173, + "step": 435 + }, + { + "epoch": 0.19, + "learning_rate": 2.990068598666458e-06, + "loss": 0.9578, + "step": 436 + }, + { + "epoch": 0.19, + "learning_rate": 2.990009461019688e-06, + "loss": 1.001, + "step": 437 + }, + { + "epoch": 0.19, + "learning_rate": 2.989950148412601e-06, + "loss": 0.6646, + "step": 438 + }, + { + "epoch": 0.19, + "learning_rate": 2.989890660852161e-06, + "loss": 0.8681, + "step": 439 + }, + { + "epoch": 0.19, + "learning_rate": 2.9898309983453533e-06, + "loss": 0.9956, + "step": 440 + }, + { + "epoch": 0.19, + "learning_rate": 2.9897711608991836e-06, + "loss": 1.3169, + "step": 441 + }, + { + "epoch": 0.19, + "learning_rate": 2.9897111485206785e-06, + "loss": 0.9874, + "step": 442 + }, + { + "epoch": 0.19, + "learning_rate": 2.9896509612168843e-06, + "loss": 0.781, + "step": 443 + }, + { + "epoch": 0.19, + "learning_rate": 2.9895905989948687e-06, + "loss": 1.0075, + "step": 444 + }, + { + "epoch": 0.19, + "learning_rate": 2.9895300618617192e-06, + "loss": 1.4006, + "step": 445 + }, + { + "epoch": 0.19, + "learning_rate": 2.9894693498245447e-06, + "loss": 0.9516, + "step": 446 + }, + { + "epoch": 0.19, + "learning_rate": 2.9894084628904736e-06, + "loss": 1.1393, + "step": 447 + }, + { + "epoch": 0.19, + "learning_rate": 2.9893474010666558e-06, + "loss": 1.1598, + "step": 448 + }, + { + "epoch": 0.19, + "learning_rate": 2.9892861643602614e-06, + "loss": 0.7951, + "step": 449 + }, + { + "epoch": 0.19, + "learning_rate": 2.98922475277848e-06, + "loss": 0.8049, + "step": 450 + }, + { + "epoch": 0.19, + "learning_rate": 2.9891631663285244e-06, + "loss": 1.1294, + "step": 451 + }, + { + "epoch": 0.2, + "learning_rate": 2.989101405017625e-06, + "loss": 0.698, + "step": 452 + }, + { + "epoch": 0.2, + "learning_rate": 2.989039468853034e-06, + "loss": 0.681, + "step": 453 + }, + { + "epoch": 0.2, + "learning_rate": 2.988977357842024e-06, + "loss": 0.9209, + "step": 454 + }, + { + "epoch": 0.2, + "learning_rate": 2.9889150719918887e-06, + "loss": 1.2015, + "step": 455 + }, + { + "epoch": 0.2, + "learning_rate": 2.988852611309942e-06, + "loss": 1.1002, + "step": 456 + }, + { + "epoch": 0.2, + "learning_rate": 2.9887899758035173e-06, + "loss": 0.9994, + "step": 457 + }, + { + "epoch": 0.2, + "learning_rate": 2.98872716547997e-06, + "loss": 0.8622, + "step": 458 + }, + { + "epoch": 0.2, + "learning_rate": 2.9886641803466757e-06, + "loss": 1.1229, + "step": 459 + }, + { + "epoch": 0.2, + "learning_rate": 2.98860102041103e-06, + "loss": 1.1371, + "step": 460 + }, + { + "epoch": 0.2, + "learning_rate": 2.9885376856804487e-06, + "loss": 0.8039, + "step": 461 + }, + { + "epoch": 0.2, + "learning_rate": 2.9884741761623696e-06, + "loss": 0.959, + "step": 462 + }, + { + "epoch": 0.2, + "learning_rate": 2.98841049186425e-06, + "loss": 1.2513, + "step": 463 + }, + { + "epoch": 0.2, + "learning_rate": 2.988346632793567e-06, + "loss": 1.0403, + "step": 464 + }, + { + "epoch": 0.2, + "learning_rate": 2.98828259895782e-06, + "loss": 1.3199, + "step": 465 + }, + { + "epoch": 0.2, + "learning_rate": 2.9882183903645274e-06, + "loss": 0.9289, + "step": 466 + }, + { + "epoch": 0.2, + "learning_rate": 2.9881540070212294e-06, + "loss": 0.7974, + "step": 467 + }, + { + "epoch": 0.2, + "learning_rate": 2.9880894489354853e-06, + "loss": 0.8132, + "step": 468 + }, + { + "epoch": 0.2, + "learning_rate": 2.988024716114876e-06, + "loss": 1.3109, + "step": 469 + }, + { + "epoch": 0.2, + "learning_rate": 2.987959808567003e-06, + "loss": 1.0003, + "step": 470 + }, + { + "epoch": 0.2, + "learning_rate": 2.987894726299487e-06, + "loss": 0.7431, + "step": 471 + }, + { + "epoch": 0.2, + "learning_rate": 2.9878294693199706e-06, + "loss": 0.9142, + "step": 472 + }, + { + "epoch": 0.2, + "learning_rate": 2.9877640376361165e-06, + "loss": 0.8275, + "step": 473 + }, + { + "epoch": 0.2, + "learning_rate": 2.9876984312556076e-06, + "loss": 0.9978, + "step": 474 + }, + { + "epoch": 0.21, + "learning_rate": 2.9876326501861483e-06, + "loss": 0.9026, + "step": 475 + }, + { + "epoch": 0.21, + "learning_rate": 2.987566694435462e-06, + "loss": 0.9614, + "step": 476 + }, + { + "epoch": 0.21, + "learning_rate": 2.9875005640112928e-06, + "loss": 1.1506, + "step": 477 + }, + { + "epoch": 0.21, + "learning_rate": 2.987434258921407e-06, + "loss": 1.0007, + "step": 478 + }, + { + "epoch": 0.21, + "learning_rate": 2.9873677791735898e-06, + "loss": 0.9798, + "step": 479 + }, + { + "epoch": 0.21, + "learning_rate": 2.987301124775648e-06, + "loss": 0.8309, + "step": 480 + }, + { + "epoch": 0.21, + "learning_rate": 2.9872342957354075e-06, + "loss": 0.7859, + "step": 481 + }, + { + "epoch": 0.21, + "learning_rate": 2.9871672920607156e-06, + "loss": 1.6491, + "step": 482 + }, + { + "epoch": 0.21, + "learning_rate": 2.987100113759441e-06, + "loss": 1.0152, + "step": 483 + }, + { + "epoch": 0.21, + "learning_rate": 2.98703276083947e-06, + "loss": 1.2719, + "step": 484 + }, + { + "epoch": 0.21, + "learning_rate": 2.986965233308714e-06, + "loss": 1.0153, + "step": 485 + }, + { + "epoch": 0.21, + "learning_rate": 2.9868975311750997e-06, + "loss": 1.4362, + "step": 486 + }, + { + "epoch": 0.21, + "learning_rate": 2.986829654446578e-06, + "loss": 1.3895, + "step": 487 + }, + { + "epoch": 0.21, + "learning_rate": 2.986761603131119e-06, + "loss": 1.1723, + "step": 488 + }, + { + "epoch": 0.21, + "learning_rate": 2.9866933772367137e-06, + "loss": 0.9854, + "step": 489 + }, + { + "epoch": 0.21, + "learning_rate": 2.9866249767713733e-06, + "loss": 1.4223, + "step": 490 + }, + { + "epoch": 0.21, + "learning_rate": 2.986556401743129e-06, + "loss": 0.7006, + "step": 491 + }, + { + "epoch": 0.21, + "learning_rate": 2.9864876521600335e-06, + "loss": 1.3342, + "step": 492 + }, + { + "epoch": 0.21, + "learning_rate": 2.9864187280301595e-06, + "loss": 1.1225, + "step": 493 + }, + { + "epoch": 0.21, + "learning_rate": 2.9863496293616005e-06, + "loss": 0.8446, + "step": 494 + }, + { + "epoch": 0.21, + "learning_rate": 2.98628035616247e-06, + "loss": 1.0535, + "step": 495 + }, + { + "epoch": 0.21, + "learning_rate": 2.9862109084409015e-06, + "loss": 1.1367, + "step": 496 + }, + { + "epoch": 0.21, + "learning_rate": 2.9861412862050503e-06, + "loss": 0.9806, + "step": 497 + }, + { + "epoch": 0.21, + "learning_rate": 2.986071489463092e-06, + "loss": 1.1439, + "step": 498 + }, + { + "epoch": 0.22, + "learning_rate": 2.9860015182232212e-06, + "loss": 1.1149, + "step": 499 + }, + { + "epoch": 0.22, + "learning_rate": 2.985931372493656e-06, + "loss": 1.1547, + "step": 500 + }, + { + "epoch": 0.22, + "learning_rate": 2.985861052282631e-06, + "loss": 0.8806, + "step": 501 + }, + { + "epoch": 0.22, + "learning_rate": 2.9857905575984044e-06, + "loss": 1.216, + "step": 502 + }, + { + "epoch": 0.22, + "learning_rate": 2.9857198884492538e-06, + "loss": 0.8075, + "step": 503 + }, + { + "epoch": 0.22, + "learning_rate": 2.985649044843477e-06, + "loss": 0.6957, + "step": 504 + }, + { + "epoch": 0.22, + "learning_rate": 2.985578026789393e-06, + "loss": 1.0724, + "step": 505 + }, + { + "epoch": 0.22, + "learning_rate": 2.9855068342953405e-06, + "loss": 1.1164, + "step": 506 + }, + { + "epoch": 0.22, + "learning_rate": 2.9854354673696797e-06, + "loss": 0.8721, + "step": 507 + }, + { + "epoch": 0.22, + "learning_rate": 2.98536392602079e-06, + "loss": 1.1491, + "step": 508 + }, + { + "epoch": 0.22, + "learning_rate": 2.9852922102570723e-06, + "loss": 0.9626, + "step": 509 + }, + { + "epoch": 0.22, + "learning_rate": 2.9852203200869473e-06, + "loss": 1.053, + "step": 510 + }, + { + "epoch": 0.22, + "learning_rate": 2.985148255518857e-06, + "loss": 1.067, + "step": 511 + }, + { + "epoch": 0.22, + "learning_rate": 2.9850760165612633e-06, + "loss": 1.2675, + "step": 512 + }, + { + "epoch": 0.22, + "learning_rate": 2.9850036032226484e-06, + "loss": 1.1246, + "step": 513 + }, + { + "epoch": 0.22, + "learning_rate": 2.9849310155115155e-06, + "loss": 1.1673, + "step": 514 + }, + { + "epoch": 0.22, + "learning_rate": 2.9848582534363872e-06, + "loss": 1.5118, + "step": 515 + }, + { + "epoch": 0.22, + "learning_rate": 2.9847853170058087e-06, + "loss": 0.9582, + "step": 516 + }, + { + "epoch": 0.22, + "learning_rate": 2.984712206228344e-06, + "loss": 0.9707, + "step": 517 + }, + { + "epoch": 0.22, + "learning_rate": 2.984638921112577e-06, + "loss": 1.2606, + "step": 518 + }, + { + "epoch": 0.22, + "learning_rate": 2.9845654616671136e-06, + "loss": 1.2437, + "step": 519 + }, + { + "epoch": 0.22, + "learning_rate": 2.98449182790058e-06, + "loss": 1.2143, + "step": 520 + }, + { + "epoch": 0.22, + "learning_rate": 2.984418019821622e-06, + "loss": 0.7296, + "step": 521 + }, + { + "epoch": 0.23, + "learning_rate": 2.9843440374389066e-06, + "loss": 0.8619, + "step": 522 + }, + { + "epoch": 0.23, + "learning_rate": 2.9842698807611205e-06, + "loss": 1.2762, + "step": 523 + }, + { + "epoch": 0.23, + "learning_rate": 2.9841955497969716e-06, + "loss": 0.8513, + "step": 524 + }, + { + "epoch": 0.23, + "learning_rate": 2.9841210445551882e-06, + "loss": 0.8414, + "step": 525 + }, + { + "epoch": 0.23, + "learning_rate": 2.984046365044519e-06, + "loss": 0.8397, + "step": 526 + }, + { + "epoch": 0.23, + "learning_rate": 2.983971511273732e-06, + "loss": 1.1441, + "step": 527 + }, + { + "epoch": 0.23, + "learning_rate": 2.983896483251618e-06, + "loss": 0.9721, + "step": 528 + }, + { + "epoch": 0.23, + "learning_rate": 2.9838212809869863e-06, + "loss": 1.1894, + "step": 529 + }, + { + "epoch": 0.23, + "learning_rate": 2.9837459044886673e-06, + "loss": 0.861, + "step": 530 + }, + { + "epoch": 0.23, + "learning_rate": 2.983670353765512e-06, + "loss": 1.4871, + "step": 531 + }, + { + "epoch": 0.23, + "learning_rate": 2.983594628826392e-06, + "loss": 1.0617, + "step": 532 + }, + { + "epoch": 0.23, + "learning_rate": 2.9835187296801988e-06, + "loss": 0.8969, + "step": 533 + }, + { + "epoch": 0.23, + "learning_rate": 2.9834426563358446e-06, + "loss": 0.8227, + "step": 534 + }, + { + "epoch": 0.23, + "learning_rate": 2.9833664088022624e-06, + "loss": 1.1846, + "step": 535 + }, + { + "epoch": 0.23, + "learning_rate": 2.983289987088405e-06, + "loss": 1.0767, + "step": 536 + }, + { + "epoch": 0.23, + "learning_rate": 2.983213391203246e-06, + "loss": 0.9383, + "step": 537 + }, + { + "epoch": 0.23, + "learning_rate": 2.98313662115578e-06, + "loss": 1.2809, + "step": 538 + }, + { + "epoch": 0.23, + "learning_rate": 2.983059676955021e-06, + "loss": 0.6862, + "step": 539 + }, + { + "epoch": 0.23, + "learning_rate": 2.9829825586100036e-06, + "loss": 0.5148, + "step": 540 + }, + { + "epoch": 0.23, + "learning_rate": 2.9829052661297846e-06, + "loss": 1.007, + "step": 541 + }, + { + "epoch": 0.23, + "learning_rate": 2.9828277995234386e-06, + "loss": 0.877, + "step": 542 + }, + { + "epoch": 0.23, + "learning_rate": 2.982750158800062e-06, + "loss": 0.9812, + "step": 543 + }, + { + "epoch": 0.23, + "learning_rate": 2.9826723439687723e-06, + "loss": 0.9038, + "step": 544 + }, + { + "epoch": 0.24, + "learning_rate": 2.9825943550387064e-06, + "loss": 1.0283, + "step": 545 + }, + { + "epoch": 0.24, + "learning_rate": 2.982516192019021e-06, + "loss": 1.1665, + "step": 546 + }, + { + "epoch": 0.24, + "learning_rate": 2.982437854918896e-06, + "loss": 1.0829, + "step": 547 + }, + { + "epoch": 0.24, + "learning_rate": 2.982359343747528e-06, + "loss": 1.1128, + "step": 548 + }, + { + "epoch": 0.24, + "learning_rate": 2.9822806585141373e-06, + "loss": 0.8643, + "step": 549 + }, + { + "epoch": 0.24, + "learning_rate": 2.9822017992279627e-06, + "loss": 0.7539, + "step": 550 + }, + { + "epoch": 0.24, + "learning_rate": 2.9821227658982646e-06, + "loss": 1.2795, + "step": 551 + }, + { + "epoch": 0.24, + "learning_rate": 2.982043558534322e-06, + "loss": 0.7064, + "step": 552 + }, + { + "epoch": 0.24, + "learning_rate": 2.981964177145437e-06, + "loss": 1.2372, + "step": 553 + }, + { + "epoch": 0.24, + "learning_rate": 2.9818846217409304e-06, + "loss": 0.9669, + "step": 554 + }, + { + "epoch": 0.24, + "learning_rate": 2.9818048923301433e-06, + "loss": 0.9619, + "step": 555 + }, + { + "epoch": 0.24, + "learning_rate": 2.981724988922438e-06, + "loss": 1.2044, + "step": 556 + }, + { + "epoch": 0.24, + "learning_rate": 2.9816449115271975e-06, + "loss": 0.9373, + "step": 557 + }, + { + "epoch": 0.24, + "learning_rate": 2.9815646601538234e-06, + "loss": 1.1138, + "step": 558 + }, + { + "epoch": 0.24, + "learning_rate": 2.98148423481174e-06, + "loss": 1.2086, + "step": 559 + }, + { + "epoch": 0.24, + "learning_rate": 2.9814036355103904e-06, + "loss": 1.3177, + "step": 560 + }, + { + "epoch": 0.24, + "learning_rate": 2.9813228622592394e-06, + "loss": 1.1477, + "step": 561 + }, + { + "epoch": 0.24, + "learning_rate": 2.9812419150677716e-06, + "loss": 0.7987, + "step": 562 + }, + { + "epoch": 0.24, + "learning_rate": 2.981160793945491e-06, + "loss": 0.8819, + "step": 563 + }, + { + "epoch": 0.24, + "learning_rate": 2.981079498901924e-06, + "loss": 0.9212, + "step": 564 + }, + { + "epoch": 0.24, + "learning_rate": 2.9809980299466164e-06, + "loss": 1.0855, + "step": 565 + }, + { + "epoch": 0.24, + "learning_rate": 2.9809163870891337e-06, + "loss": 0.9349, + "step": 566 + }, + { + "epoch": 0.24, + "learning_rate": 2.9808345703390636e-06, + "loss": 1.2243, + "step": 567 + }, + { + "epoch": 0.25, + "learning_rate": 2.9807525797060125e-06, + "loss": 0.7934, + "step": 568 + }, + { + "epoch": 0.25, + "learning_rate": 2.980670415199608e-06, + "loss": 0.5616, + "step": 569 + }, + { + "epoch": 0.25, + "learning_rate": 2.9805880768294988e-06, + "loss": 0.8519, + "step": 570 + }, + { + "epoch": 0.25, + "learning_rate": 2.980505564605352e-06, + "loss": 0.985, + "step": 571 + }, + { + "epoch": 0.25, + "learning_rate": 2.980422878536857e-06, + "loss": 1.0743, + "step": 572 + }, + { + "epoch": 0.25, + "learning_rate": 2.9803400186337236e-06, + "loss": 0.7903, + "step": 573 + }, + { + "epoch": 0.25, + "learning_rate": 2.980256984905681e-06, + "loss": 1.1292, + "step": 574 + }, + { + "epoch": 0.25, + "learning_rate": 2.9801737773624784e-06, + "loss": 1.0639, + "step": 575 + }, + { + "epoch": 0.25, + "learning_rate": 2.980090396013887e-06, + "loss": 0.8221, + "step": 576 + }, + { + "epoch": 0.25, + "learning_rate": 2.9800068408696975e-06, + "loss": 0.8653, + "step": 577 + }, + { + "epoch": 0.25, + "learning_rate": 2.979923111939721e-06, + "loss": 1.1338, + "step": 578 + }, + { + "epoch": 0.25, + "learning_rate": 2.9798392092337892e-06, + "loss": 1.0976, + "step": 579 + }, + { + "epoch": 0.25, + "learning_rate": 2.9797551327617546e-06, + "loss": 0.9408, + "step": 580 + }, + { + "epoch": 0.25, + "eval_loss": 1.2613449096679688, + "eval_runtime": 32.8425, + "eval_samples_per_second": 37.908, + "eval_steps_per_second": 18.969, + "step": 580 + }, + { + "epoch": 0.25, + "learning_rate": 2.979670882533489e-06, + "loss": 1.1245, + "step": 581 + }, + { + "epoch": 0.25, + "learning_rate": 2.9795864585588855e-06, + "loss": 1.0534, + "step": 582 + }, + { + "epoch": 0.25, + "learning_rate": 2.9795018608478575e-06, + "loss": 0.7156, + "step": 583 + }, + { + "epoch": 0.25, + "learning_rate": 2.9794170894103386e-06, + "loss": 1.0678, + "step": 584 + }, + { + "epoch": 0.25, + "learning_rate": 2.9793321442562822e-06, + "loss": 1.3353, + "step": 585 + }, + { + "epoch": 0.25, + "learning_rate": 2.979247025395664e-06, + "loss": 1.1273, + "step": 586 + }, + { + "epoch": 0.25, + "learning_rate": 2.979161732838478e-06, + "loss": 0.7786, + "step": 587 + }, + { + "epoch": 0.25, + "learning_rate": 2.979076266594739e-06, + "loss": 0.6931, + "step": 588 + }, + { + "epoch": 0.25, + "learning_rate": 2.978990626674484e-06, + "loss": 1.0972, + "step": 589 + }, + { + "epoch": 0.25, + "learning_rate": 2.9789048130877682e-06, + "loss": 1.1221, + "step": 590 + }, + { + "epoch": 0.26, + "learning_rate": 2.978818825844668e-06, + "loss": 0.9518, + "step": 591 + }, + { + "epoch": 0.26, + "learning_rate": 2.9787326649552802e-06, + "loss": 0.9277, + "step": 592 + }, + { + "epoch": 0.26, + "learning_rate": 2.978646330429723e-06, + "loss": 1.1388, + "step": 593 + }, + { + "epoch": 0.26, + "learning_rate": 2.9785598222781325e-06, + "loss": 1.014, + "step": 594 + }, + { + "epoch": 0.26, + "learning_rate": 2.978473140510667e-06, + "loss": 0.8841, + "step": 595 + }, + { + "epoch": 0.26, + "learning_rate": 2.978386285137506e-06, + "loss": 1.055, + "step": 596 + }, + { + "epoch": 0.26, + "learning_rate": 2.9782992561688473e-06, + "loss": 1.0099, + "step": 597 + }, + { + "epoch": 0.26, + "learning_rate": 2.9782120536149096e-06, + "loss": 0.8939, + "step": 598 + }, + { + "epoch": 0.26, + "learning_rate": 2.9781246774859334e-06, + "loss": 0.7555, + "step": 599 + }, + { + "epoch": 0.26, + "learning_rate": 2.9780371277921785e-06, + "loss": 0.9133, + "step": 600 + }, + { + "epoch": 0.26, + "learning_rate": 2.9779494045439243e-06, + "loss": 1.1065, + "step": 601 + }, + { + "epoch": 0.26, + "learning_rate": 2.9778615077514725e-06, + "loss": 0.9152, + "step": 602 + }, + { + "epoch": 0.26, + "learning_rate": 2.9777734374251442e-06, + "loss": 1.0829, + "step": 603 + }, + { + "epoch": 0.26, + "learning_rate": 2.9776851935752796e-06, + "loss": 0.9682, + "step": 604 + }, + { + "epoch": 0.26, + "learning_rate": 2.9775967762122417e-06, + "loss": 1.0187, + "step": 605 + }, + { + "epoch": 0.26, + "learning_rate": 2.9775081853464117e-06, + "loss": 1.1062, + "step": 606 + }, + { + "epoch": 0.26, + "learning_rate": 2.9774194209881933e-06, + "loss": 1.0507, + "step": 607 + }, + { + "epoch": 0.26, + "learning_rate": 2.9773304831480084e-06, + "loss": 1.1243, + "step": 608 + }, + { + "epoch": 0.26, + "learning_rate": 2.977241371836301e-06, + "loss": 0.62, + "step": 609 + }, + { + "epoch": 0.26, + "learning_rate": 2.977152087063534e-06, + "loss": 0.7882, + "step": 610 + }, + { + "epoch": 0.26, + "learning_rate": 2.9770626288401917e-06, + "loss": 0.6661, + "step": 611 + }, + { + "epoch": 0.26, + "learning_rate": 2.976972997176779e-06, + "loss": 0.9701, + "step": 612 + }, + { + "epoch": 0.26, + "learning_rate": 2.9768831920838205e-06, + "loss": 1.047, + "step": 613 + }, + { + "epoch": 0.26, + "learning_rate": 2.9767932135718606e-06, + "loss": 0.8731, + "step": 614 + }, + { + "epoch": 0.27, + "learning_rate": 2.9767030616514655e-06, + "loss": 0.561, + "step": 615 + }, + { + "epoch": 0.27, + "learning_rate": 2.9766127363332207e-06, + "loss": 1.0698, + "step": 616 + }, + { + "epoch": 0.27, + "learning_rate": 2.9765222376277326e-06, + "loss": 0.8451, + "step": 617 + }, + { + "epoch": 0.27, + "learning_rate": 2.9764315655456273e-06, + "loss": 1.1086, + "step": 618 + }, + { + "epoch": 0.27, + "learning_rate": 2.9763407200975525e-06, + "loss": 1.1081, + "step": 619 + }, + { + "epoch": 0.27, + "learning_rate": 2.9762497012941756e-06, + "loss": 0.9823, + "step": 620 + }, + { + "epoch": 0.27, + "learning_rate": 2.976158509146183e-06, + "loss": 1.2448, + "step": 621 + }, + { + "epoch": 0.27, + "learning_rate": 2.976067143664284e-06, + "loss": 0.9679, + "step": 622 + }, + { + "epoch": 0.27, + "learning_rate": 2.975975604859206e-06, + "loss": 0.844, + "step": 623 + }, + { + "epoch": 0.27, + "learning_rate": 2.9758838927416974e-06, + "loss": 1.106, + "step": 624 + }, + { + "epoch": 0.27, + "learning_rate": 2.975792007322529e-06, + "loss": 0.9266, + "step": 625 + }, + { + "epoch": 0.27, + "learning_rate": 2.9756999486124886e-06, + "loss": 1.0137, + "step": 626 + }, + { + "epoch": 0.27, + "learning_rate": 2.9756077166223867e-06, + "loss": 0.7806, + "step": 627 + }, + { + "epoch": 0.27, + "learning_rate": 2.975515311363053e-06, + "loss": 0.6932, + "step": 628 + }, + { + "epoch": 0.27, + "learning_rate": 2.975422732845338e-06, + "loss": 1.0675, + "step": 629 + }, + { + "epoch": 0.27, + "learning_rate": 2.9753299810801127e-06, + "loss": 1.0283, + "step": 630 + }, + { + "epoch": 0.27, + "learning_rate": 2.975237056078268e-06, + "loss": 1.0374, + "step": 631 + }, + { + "epoch": 0.27, + "learning_rate": 2.9751439578507156e-06, + "loss": 1.2975, + "step": 632 + }, + { + "epoch": 0.27, + "learning_rate": 2.9750506864083865e-06, + "loss": 0.7285, + "step": 633 + }, + { + "epoch": 0.27, + "learning_rate": 2.9749572417622345e-06, + "loss": 0.9599, + "step": 634 + }, + { + "epoch": 0.27, + "learning_rate": 2.9748636239232303e-06, + "loss": 1.1432, + "step": 635 + }, + { + "epoch": 0.27, + "learning_rate": 2.974769832902368e-06, + "loss": 0.8334, + "step": 636 + }, + { + "epoch": 0.27, + "learning_rate": 2.97467586871066e-06, + "loss": 1.0316, + "step": 637 + }, + { + "epoch": 0.28, + "learning_rate": 2.97458173135914e-06, + "loss": 1.2535, + "step": 638 + }, + { + "epoch": 0.28, + "learning_rate": 2.9744874208588624e-06, + "loss": 1.0193, + "step": 639 + }, + { + "epoch": 0.28, + "learning_rate": 2.9743929372209e-06, + "loss": 1.0466, + "step": 640 + }, + { + "epoch": 0.28, + "learning_rate": 2.974298280456349e-06, + "loss": 1.1382, + "step": 641 + }, + { + "epoch": 0.28, + "learning_rate": 2.9742034505763228e-06, + "loss": 1.1603, + "step": 642 + }, + { + "epoch": 0.28, + "learning_rate": 2.974108447591957e-06, + "loss": 1.077, + "step": 643 + }, + { + "epoch": 0.28, + "learning_rate": 2.974013271514407e-06, + "loss": 1.2367, + "step": 644 + }, + { + "epoch": 0.28, + "learning_rate": 2.9739179223548492e-06, + "loss": 1.1627, + "step": 645 + }, + { + "epoch": 0.28, + "learning_rate": 2.973822400124479e-06, + "loss": 1.0716, + "step": 646 + }, + { + "epoch": 0.28, + "learning_rate": 2.9737267048345133e-06, + "loss": 0.9375, + "step": 647 + }, + { + "epoch": 0.28, + "learning_rate": 2.9736308364961883e-06, + "loss": 0.8722, + "step": 648 + }, + { + "epoch": 0.28, + "learning_rate": 2.9735347951207616e-06, + "loss": 1.0777, + "step": 649 + }, + { + "epoch": 0.28, + "learning_rate": 2.973438580719511e-06, + "loss": 0.9632, + "step": 650 + }, + { + "epoch": 0.28, + "learning_rate": 2.9733421933037325e-06, + "loss": 1.1566, + "step": 651 + }, + { + "epoch": 0.28, + "learning_rate": 2.973245632884746e-06, + "loss": 1.1901, + "step": 652 + }, + { + "epoch": 0.28, + "learning_rate": 2.973148899473889e-06, + "loss": 1.1624, + "step": 653 + }, + { + "epoch": 0.28, + "learning_rate": 2.9730519930825203e-06, + "loss": 1.0595, + "step": 654 + }, + { + "epoch": 0.28, + "learning_rate": 2.9729549137220185e-06, + "loss": 0.9972, + "step": 655 + }, + { + "epoch": 0.28, + "learning_rate": 2.9728576614037836e-06, + "loss": 1.0206, + "step": 656 + }, + { + "epoch": 0.28, + "learning_rate": 2.9727602361392348e-06, + "loss": 1.2351, + "step": 657 + }, + { + "epoch": 0.28, + "learning_rate": 2.9726626379398117e-06, + "loss": 0.8946, + "step": 658 + }, + { + "epoch": 0.28, + "learning_rate": 2.972564866816975e-06, + "loss": 1.1029, + "step": 659 + }, + { + "epoch": 0.28, + "learning_rate": 2.972466922782205e-06, + "loss": 1.2262, + "step": 660 + }, + { + "epoch": 0.29, + "learning_rate": 2.972368805847003e-06, + "loss": 1.1586, + "step": 661 + }, + { + "epoch": 0.29, + "learning_rate": 2.972270516022889e-06, + "loss": 0.9681, + "step": 662 + }, + { + "epoch": 0.29, + "learning_rate": 2.9721720533214052e-06, + "loss": 1.0917, + "step": 663 + }, + { + "epoch": 0.29, + "learning_rate": 2.9720734177541133e-06, + "loss": 1.2183, + "step": 664 + }, + { + "epoch": 0.29, + "learning_rate": 2.9719746093325953e-06, + "loss": 0.9879, + "step": 665 + }, + { + "epoch": 0.29, + "learning_rate": 2.9718756280684534e-06, + "loss": 0.9093, + "step": 666 + }, + { + "epoch": 0.29, + "learning_rate": 2.9717764739733096e-06, + "loss": 1.0094, + "step": 667 + }, + { + "epoch": 0.29, + "learning_rate": 2.9716771470588083e-06, + "loss": 1.0687, + "step": 668 + }, + { + "epoch": 0.29, + "learning_rate": 2.9715776473366113e-06, + "loss": 1.0676, + "step": 669 + }, + { + "epoch": 0.29, + "learning_rate": 2.9714779748184026e-06, + "loss": 0.8461, + "step": 670 + }, + { + "epoch": 0.29, + "learning_rate": 2.971378129515886e-06, + "loss": 0.6711, + "step": 671 + }, + { + "epoch": 0.29, + "learning_rate": 2.971278111440786e-06, + "loss": 1.3177, + "step": 672 + }, + { + "epoch": 0.29, + "learning_rate": 2.971177920604846e-06, + "loss": 0.8529, + "step": 673 + }, + { + "epoch": 0.29, + "learning_rate": 2.9710775570198308e-06, + "loss": 1.3491, + "step": 674 + }, + { + "epoch": 0.29, + "learning_rate": 2.9709770206975262e-06, + "loss": 1.0669, + "step": 675 + }, + { + "epoch": 0.29, + "learning_rate": 2.9708763116497365e-06, + "loss": 0.8623, + "step": 676 + }, + { + "epoch": 0.29, + "learning_rate": 2.970775429888288e-06, + "loss": 1.0946, + "step": 677 + }, + { + "epoch": 0.29, + "learning_rate": 2.9706743754250256e-06, + "loss": 0.8058, + "step": 678 + }, + { + "epoch": 0.29, + "learning_rate": 2.970573148271816e-06, + "loss": 1.1618, + "step": 679 + }, + { + "epoch": 0.29, + "learning_rate": 2.970471748440545e-06, + "loss": 0.9758, + "step": 680 + }, + { + "epoch": 0.29, + "learning_rate": 2.9703701759431194e-06, + "loss": 0.6717, + "step": 681 + }, + { + "epoch": 0.29, + "learning_rate": 2.970268430791466e-06, + "loss": 1.1163, + "step": 682 + }, + { + "epoch": 0.29, + "learning_rate": 2.9701665129975325e-06, + "loss": 1.2558, + "step": 683 + }, + { + "epoch": 0.3, + "learning_rate": 2.970064422573286e-06, + "loss": 1.31, + "step": 684 + }, + { + "epoch": 0.3, + "learning_rate": 2.969962159530714e-06, + "loss": 0.9986, + "step": 685 + }, + { + "epoch": 0.3, + "learning_rate": 2.9698597238818242e-06, + "loss": 1.0617, + "step": 686 + }, + { + "epoch": 0.3, + "learning_rate": 2.9697571156386454e-06, + "loss": 0.783, + "step": 687 + }, + { + "epoch": 0.3, + "learning_rate": 2.969654334813226e-06, + "loss": 1.2464, + "step": 688 + }, + { + "epoch": 0.3, + "learning_rate": 2.9695513814176347e-06, + "loss": 1.1797, + "step": 689 + }, + { + "epoch": 0.3, + "learning_rate": 2.9694482554639603e-06, + "loss": 0.8208, + "step": 690 + }, + { + "epoch": 0.3, + "learning_rate": 2.969344956964312e-06, + "loss": 1.2101, + "step": 691 + }, + { + "epoch": 0.3, + "learning_rate": 2.96924148593082e-06, + "loss": 0.9559, + "step": 692 + }, + { + "epoch": 0.3, + "learning_rate": 2.969137842375634e-06, + "loss": 1.4473, + "step": 693 + }, + { + "epoch": 0.3, + "learning_rate": 2.969034026310923e-06, + "loss": 1.381, + "step": 694 + }, + { + "epoch": 0.3, + "learning_rate": 2.9689300377488784e-06, + "loss": 1.0125, + "step": 695 + }, + { + "epoch": 0.3, + "learning_rate": 2.968825876701711e-06, + "loss": 0.8278, + "step": 696 + }, + { + "epoch": 0.3, + "learning_rate": 2.96872154318165e-06, + "loss": 1.0497, + "step": 697 + }, + { + "epoch": 0.3, + "learning_rate": 2.968617037200948e-06, + "loss": 1.0431, + "step": 698 + }, + { + "epoch": 0.3, + "learning_rate": 2.9685123587718767e-06, + "loss": 0.9797, + "step": 699 + }, + { + "epoch": 0.3, + "learning_rate": 2.968407507906726e-06, + "loss": 0.6056, + "step": 700 + }, + { + "epoch": 0.3, + "learning_rate": 2.968302484617809e-06, + "loss": 1.0324, + "step": 701 + }, + { + "epoch": 0.3, + "learning_rate": 2.968197288917457e-06, + "loss": 0.9439, + "step": 702 + }, + { + "epoch": 0.3, + "learning_rate": 2.9680919208180233e-06, + "loss": 1.1148, + "step": 703 + }, + { + "epoch": 0.3, + "learning_rate": 2.9679863803318793e-06, + "loss": 1.1658, + "step": 704 + }, + { + "epoch": 0.3, + "learning_rate": 2.9678806674714186e-06, + "loss": 0.8455, + "step": 705 + }, + { + "epoch": 0.3, + "learning_rate": 2.9677747822490544e-06, + "loss": 1.0937, + "step": 706 + }, + { + "epoch": 0.31, + "learning_rate": 2.9676687246772185e-06, + "loss": 1.0732, + "step": 707 + }, + { + "epoch": 0.31, + "learning_rate": 2.9675624947683667e-06, + "loss": 1.1065, + "step": 708 + }, + { + "epoch": 0.31, + "learning_rate": 2.967456092534971e-06, + "loss": 0.9994, + "step": 709 + }, + { + "epoch": 0.31, + "learning_rate": 2.9673495179895262e-06, + "loss": 1.0244, + "step": 710 + }, + { + "epoch": 0.31, + "learning_rate": 2.967242771144546e-06, + "loss": 1.0501, + "step": 711 + }, + { + "epoch": 0.31, + "learning_rate": 2.9671358520125653e-06, + "loss": 1.0324, + "step": 712 + }, + { + "epoch": 0.31, + "learning_rate": 2.967028760606139e-06, + "loss": 0.7647, + "step": 713 + }, + { + "epoch": 0.31, + "learning_rate": 2.966921496937841e-06, + "loss": 1.0331, + "step": 714 + }, + { + "epoch": 0.31, + "learning_rate": 2.966814061020268e-06, + "loss": 1.25, + "step": 715 + }, + { + "epoch": 0.31, + "learning_rate": 2.966706452866034e-06, + "loss": 1.1545, + "step": 716 + }, + { + "epoch": 0.31, + "learning_rate": 2.966598672487775e-06, + "loss": 1.3594, + "step": 717 + }, + { + "epoch": 0.31, + "learning_rate": 2.966490719898147e-06, + "loss": 1.3007, + "step": 718 + }, + { + "epoch": 0.31, + "learning_rate": 2.9663825951098256e-06, + "loss": 1.0648, + "step": 719 + }, + { + "epoch": 0.31, + "learning_rate": 2.966274298135508e-06, + "loss": 1.0983, + "step": 720 + }, + { + "epoch": 0.31, + "learning_rate": 2.966165828987909e-06, + "loss": 1.3102, + "step": 721 + }, + { + "epoch": 0.31, + "learning_rate": 2.9660571876797673e-06, + "loss": 1.2444, + "step": 722 + }, + { + "epoch": 0.31, + "learning_rate": 2.9659483742238392e-06, + "loss": 1.0806, + "step": 723 + }, + { + "epoch": 0.31, + "learning_rate": 2.9658393886329007e-06, + "loss": 0.9444, + "step": 724 + }, + { + "epoch": 0.31, + "learning_rate": 2.9657302309197507e-06, + "loss": 0.7826, + "step": 725 + }, + { + "epoch": 0.31, + "learning_rate": 2.9656209010972054e-06, + "loss": 0.4399, + "step": 726 + }, + { + "epoch": 0.31, + "learning_rate": 2.9655113991781033e-06, + "loss": 1.1048, + "step": 727 + }, + { + "epoch": 0.31, + "learning_rate": 2.965401725175302e-06, + "loss": 1.1805, + "step": 728 + }, + { + "epoch": 0.31, + "learning_rate": 2.9652918791016805e-06, + "loss": 0.9463, + "step": 729 + }, + { + "epoch": 0.32, + "learning_rate": 2.965181860970136e-06, + "loss": 0.998, + "step": 730 + }, + { + "epoch": 0.32, + "learning_rate": 2.965071670793588e-06, + "loss": 0.9595, + "step": 731 + }, + { + "epoch": 0.32, + "learning_rate": 2.9649613085849747e-06, + "loss": 0.7779, + "step": 732 + }, + { + "epoch": 0.32, + "learning_rate": 2.9648507743572553e-06, + "loss": 0.702, + "step": 733 + }, + { + "epoch": 0.32, + "learning_rate": 2.964740068123409e-06, + "loss": 1.0655, + "step": 734 + }, + { + "epoch": 0.32, + "learning_rate": 2.964629189896435e-06, + "loss": 0.9643, + "step": 735 + }, + { + "epoch": 0.32, + "learning_rate": 2.964518139689354e-06, + "loss": 1.2267, + "step": 736 + }, + { + "epoch": 0.32, + "learning_rate": 2.964406917515204e-06, + "loss": 1.0465, + "step": 737 + }, + { + "epoch": 0.32, + "learning_rate": 2.964295523387046e-06, + "loss": 1.2266, + "step": 738 + }, + { + "epoch": 0.32, + "learning_rate": 2.9641839573179597e-06, + "loss": 0.9642, + "step": 739 + }, + { + "epoch": 0.32, + "learning_rate": 2.9640722193210457e-06, + "loss": 0.827, + "step": 740 + }, + { + "epoch": 0.32, + "learning_rate": 2.9639603094094246e-06, + "loss": 0.8156, + "step": 741 + }, + { + "epoch": 0.32, + "learning_rate": 2.963848227596237e-06, + "loss": 1.0656, + "step": 742 + }, + { + "epoch": 0.32, + "learning_rate": 2.963735973894644e-06, + "loss": 1.1434, + "step": 743 + }, + { + "epoch": 0.32, + "learning_rate": 2.9636235483178264e-06, + "loss": 0.9287, + "step": 744 + }, + { + "epoch": 0.32, + "learning_rate": 2.9635109508789858e-06, + "loss": 0.8704, + "step": 745 + }, + { + "epoch": 0.32, + "learning_rate": 2.9633981815913433e-06, + "loss": 1.0512, + "step": 746 + }, + { + "epoch": 0.32, + "learning_rate": 2.96328524046814e-06, + "loss": 1.1009, + "step": 747 + }, + { + "epoch": 0.32, + "learning_rate": 2.9631721275226393e-06, + "loss": 1.0748, + "step": 748 + }, + { + "epoch": 0.32, + "learning_rate": 2.9630588427681217e-06, + "loss": 0.9792, + "step": 749 + }, + { + "epoch": 0.32, + "learning_rate": 2.96294538621789e-06, + "loss": 0.8939, + "step": 750 + }, + { + "epoch": 0.32, + "learning_rate": 2.9628317578852665e-06, + "loss": 0.825, + "step": 751 + }, + { + "epoch": 0.32, + "learning_rate": 2.962717957783594e-06, + "loss": 0.6481, + "step": 752 + }, + { + "epoch": 0.32, + "learning_rate": 2.962603985926234e-06, + "loss": 0.8289, + "step": 753 + }, + { + "epoch": 0.33, + "learning_rate": 2.9624898423265704e-06, + "loss": 1.1016, + "step": 754 + }, + { + "epoch": 0.33, + "learning_rate": 2.962375526998006e-06, + "loss": 1.1215, + "step": 755 + }, + { + "epoch": 0.33, + "learning_rate": 2.9622610399539643e-06, + "loss": 1.3029, + "step": 756 + }, + { + "epoch": 0.33, + "learning_rate": 2.962146381207888e-06, + "loss": 1.2482, + "step": 757 + }, + { + "epoch": 0.33, + "learning_rate": 2.9620315507732404e-06, + "loss": 1.2224, + "step": 758 + }, + { + "epoch": 0.33, + "learning_rate": 2.9619165486635057e-06, + "loss": 0.8364, + "step": 759 + }, + { + "epoch": 0.33, + "learning_rate": 2.961801374892188e-06, + "loss": 1.4814, + "step": 760 + }, + { + "epoch": 0.33, + "learning_rate": 2.9616860294728104e-06, + "loss": 1.3116, + "step": 761 + }, + { + "epoch": 0.33, + "learning_rate": 2.9615705124189183e-06, + "loss": 1.0055, + "step": 762 + }, + { + "epoch": 0.33, + "learning_rate": 2.961454823744074e-06, + "loss": 0.9561, + "step": 763 + }, + { + "epoch": 0.33, + "learning_rate": 2.961338963461864e-06, + "loss": 1.1432, + "step": 764 + }, + { + "epoch": 0.33, + "learning_rate": 2.9612229315858914e-06, + "loss": 1.2983, + "step": 765 + }, + { + "epoch": 0.33, + "learning_rate": 2.9611067281297817e-06, + "loss": 0.9539, + "step": 766 + }, + { + "epoch": 0.33, + "learning_rate": 2.9609903531071795e-06, + "loss": 1.0341, + "step": 767 + }, + { + "epoch": 0.33, + "learning_rate": 2.96087380653175e-06, + "loss": 0.9092, + "step": 768 + }, + { + "epoch": 0.33, + "learning_rate": 2.960757088417178e-06, + "loss": 0.8342, + "step": 769 + }, + { + "epoch": 0.33, + "learning_rate": 2.9606401987771692e-06, + "loss": 1.1344, + "step": 770 + }, + { + "epoch": 0.33, + "learning_rate": 2.9605231376254485e-06, + "loss": 0.8652, + "step": 771 + }, + { + "epoch": 0.33, + "learning_rate": 2.9604059049757628e-06, + "loss": 1.1636, + "step": 772 + }, + { + "epoch": 0.33, + "learning_rate": 2.9602885008418763e-06, + "loss": 1.0486, + "step": 773 + }, + { + "epoch": 0.33, + "learning_rate": 2.9601709252375753e-06, + "loss": 1.19, + "step": 774 + }, + { + "epoch": 0.33, + "learning_rate": 2.9600531781766665e-06, + "loss": 1.0038, + "step": 775 + }, + { + "epoch": 0.33, + "learning_rate": 2.9599352596729752e-06, + "loss": 0.9223, + "step": 776 + }, + { + "epoch": 0.34, + "learning_rate": 2.9598171697403482e-06, + "loss": 0.9922, + "step": 777 + }, + { + "epoch": 0.34, + "learning_rate": 2.9596989083926515e-06, + "loss": 1.1491, + "step": 778 + }, + { + "epoch": 0.34, + "learning_rate": 2.959580475643772e-06, + "loss": 0.8081, + "step": 779 + }, + { + "epoch": 0.34, + "learning_rate": 2.959461871507616e-06, + "loss": 1.1238, + "step": 780 + }, + { + "epoch": 0.34, + "learning_rate": 2.95934309599811e-06, + "loss": 1.0524, + "step": 781 + }, + { + "epoch": 0.34, + "learning_rate": 2.9592241491292015e-06, + "loss": 0.8835, + "step": 782 + }, + { + "epoch": 0.34, + "learning_rate": 2.9591050309148574e-06, + "loss": 1.093, + "step": 783 + }, + { + "epoch": 0.34, + "learning_rate": 2.9589857413690648e-06, + "loss": 1.0641, + "step": 784 + }, + { + "epoch": 0.34, + "learning_rate": 2.958866280505831e-06, + "loss": 1.0908, + "step": 785 + }, + { + "epoch": 0.34, + "learning_rate": 2.958746648339183e-06, + "loss": 1.0964, + "step": 786 + }, + { + "epoch": 0.34, + "learning_rate": 2.9586268448831685e-06, + "loss": 1.3304, + "step": 787 + }, + { + "epoch": 0.34, + "learning_rate": 2.9585068701518547e-06, + "loss": 1.1892, + "step": 788 + }, + { + "epoch": 0.34, + "learning_rate": 2.9583867241593307e-06, + "loss": 1.0283, + "step": 789 + }, + { + "epoch": 0.34, + "learning_rate": 2.9582664069197025e-06, + "loss": 1.5036, + "step": 790 + }, + { + "epoch": 0.34, + "learning_rate": 2.958145918447099e-06, + "loss": 1.0514, + "step": 791 + }, + { + "epoch": 0.34, + "learning_rate": 2.9580252587556684e-06, + "loss": 1.1048, + "step": 792 + }, + { + "epoch": 0.34, + "learning_rate": 2.9579044278595785e-06, + "loss": 0.6791, + "step": 793 + }, + { + "epoch": 0.34, + "learning_rate": 2.9577834257730177e-06, + "loss": 0.7435, + "step": 794 + }, + { + "epoch": 0.34, + "learning_rate": 2.957662252510194e-06, + "loss": 0.9605, + "step": 795 + }, + { + "epoch": 0.34, + "learning_rate": 2.957540908085336e-06, + "loss": 1.2126, + "step": 796 + }, + { + "epoch": 0.34, + "learning_rate": 2.9574193925126924e-06, + "loss": 1.4153, + "step": 797 + }, + { + "epoch": 0.34, + "learning_rate": 2.9572977058065317e-06, + "loss": 1.0654, + "step": 798 + }, + { + "epoch": 0.34, + "learning_rate": 2.957175847981143e-06, + "loss": 1.1137, + "step": 799 + }, + { + "epoch": 0.35, + "learning_rate": 2.9570538190508346e-06, + "loss": 1.0485, + "step": 800 + }, + { + "epoch": 0.35, + "learning_rate": 2.9569316190299355e-06, + "loss": 1.1704, + "step": 801 + }, + { + "epoch": 0.35, + "learning_rate": 2.9568092479327946e-06, + "loss": 0.8121, + "step": 802 + }, + { + "epoch": 0.35, + "learning_rate": 2.9566867057737815e-06, + "loss": 0.9908, + "step": 803 + }, + { + "epoch": 0.35, + "learning_rate": 2.9565639925672855e-06, + "loss": 0.9766, + "step": 804 + }, + { + "epoch": 0.35, + "learning_rate": 2.9564411083277147e-06, + "loss": 1.0819, + "step": 805 + }, + { + "epoch": 0.35, + "learning_rate": 2.9563180530694996e-06, + "loss": 1.3171, + "step": 806 + }, + { + "epoch": 0.35, + "learning_rate": 2.9561948268070892e-06, + "loss": 1.0199, + "step": 807 + }, + { + "epoch": 0.35, + "learning_rate": 2.956071429554953e-06, + "loss": 0.9818, + "step": 808 + }, + { + "epoch": 0.35, + "learning_rate": 2.955947861327581e-06, + "loss": 0.7922, + "step": 809 + }, + { + "epoch": 0.35, + "learning_rate": 2.9558241221394815e-06, + "loss": 1.3451, + "step": 810 + }, + { + "epoch": 0.35, + "learning_rate": 2.9557002120051862e-06, + "loss": 1.1229, + "step": 811 + }, + { + "epoch": 0.35, + "learning_rate": 2.9555761309392436e-06, + "loss": 1.1411, + "step": 812 + }, + { + "epoch": 0.35, + "learning_rate": 2.955451878956224e-06, + "loss": 0.8565, + "step": 813 + }, + { + "epoch": 0.35, + "learning_rate": 2.955327456070717e-06, + "loss": 0.8403, + "step": 814 + }, + { + "epoch": 0.35, + "learning_rate": 2.9552028622973332e-06, + "loss": 0.8337, + "step": 815 + }, + { + "epoch": 0.35, + "learning_rate": 2.955078097650702e-06, + "loss": 0.9181, + "step": 816 + }, + { + "epoch": 0.35, + "learning_rate": 2.9549531621454743e-06, + "loss": 0.8733, + "step": 817 + }, + { + "epoch": 0.35, + "learning_rate": 2.9548280557963197e-06, + "loss": 1.2485, + "step": 818 + }, + { + "epoch": 0.35, + "learning_rate": 2.9547027786179296e-06, + "loss": 0.7096, + "step": 819 + }, + { + "epoch": 0.35, + "learning_rate": 2.9545773306250127e-06, + "loss": 0.8002, + "step": 820 + }, + { + "epoch": 0.35, + "learning_rate": 2.9544517118323e-06, + "loss": 1.0956, + "step": 821 + }, + { + "epoch": 0.35, + "learning_rate": 2.9543259222545423e-06, + "loss": 1.1533, + "step": 822 + }, + { + "epoch": 0.36, + "learning_rate": 2.95419996190651e-06, + "loss": 1.1669, + "step": 823 + }, + { + "epoch": 0.36, + "learning_rate": 2.954073830802993e-06, + "loss": 0.8459, + "step": 824 + }, + { + "epoch": 0.36, + "learning_rate": 2.953947528958803e-06, + "loss": 1.196, + "step": 825 + }, + { + "epoch": 0.36, + "learning_rate": 2.9538210563887705e-06, + "loss": 0.6672, + "step": 826 + }, + { + "epoch": 0.36, + "learning_rate": 2.953694413107745e-06, + "loss": 1.0257, + "step": 827 + }, + { + "epoch": 0.36, + "learning_rate": 2.9535675991305984e-06, + "loss": 0.9098, + "step": 828 + }, + { + "epoch": 0.36, + "learning_rate": 2.953440614472221e-06, + "loss": 1.0491, + "step": 829 + }, + { + "epoch": 0.36, + "learning_rate": 2.953313459147524e-06, + "loss": 0.8466, + "step": 830 + }, + { + "epoch": 0.36, + "learning_rate": 2.9531861331714373e-06, + "loss": 1.1391, + "step": 831 + }, + { + "epoch": 0.36, + "learning_rate": 2.9530586365589134e-06, + "loss": 0.9923, + "step": 832 + }, + { + "epoch": 0.36, + "learning_rate": 2.952930969324922e-06, + "loss": 0.7221, + "step": 833 + }, + { + "epoch": 0.36, + "learning_rate": 2.9528031314844545e-06, + "loss": 1.1418, + "step": 834 + }, + { + "epoch": 0.36, + "learning_rate": 2.9526751230525217e-06, + "loss": 1.1161, + "step": 835 + }, + { + "epoch": 0.36, + "learning_rate": 2.952546944044155e-06, + "loss": 1.2731, + "step": 836 + }, + { + "epoch": 0.36, + "learning_rate": 2.9524185944744047e-06, + "loss": 1.0576, + "step": 837 + }, + { + "epoch": 0.36, + "learning_rate": 2.9522900743583435e-06, + "loss": 1.299, + "step": 838 + }, + { + "epoch": 0.36, + "learning_rate": 2.952161383711061e-06, + "loss": 1.1729, + "step": 839 + }, + { + "epoch": 0.36, + "learning_rate": 2.952032522547669e-06, + "loss": 1.2685, + "step": 840 + }, + { + "epoch": 0.36, + "learning_rate": 2.951903490883298e-06, + "loss": 0.7864, + "step": 841 + }, + { + "epoch": 0.36, + "learning_rate": 2.9517742887331e-06, + "loss": 0.9869, + "step": 842 + }, + { + "epoch": 0.36, + "learning_rate": 2.9516449161122464e-06, + "loss": 1.0114, + "step": 843 + }, + { + "epoch": 0.36, + "learning_rate": 2.9515153730359275e-06, + "loss": 1.0993, + "step": 844 + }, + { + "epoch": 0.36, + "learning_rate": 2.9513856595193553e-06, + "loss": 0.7679, + "step": 845 + }, + { + "epoch": 0.37, + "learning_rate": 2.9512557755777605e-06, + "loss": 1.0497, + "step": 846 + }, + { + "epoch": 0.37, + "learning_rate": 2.9511257212263946e-06, + "loss": 1.0331, + "step": 847 + }, + { + "epoch": 0.37, + "learning_rate": 2.950995496480529e-06, + "loss": 1.0987, + "step": 848 + }, + { + "epoch": 0.37, + "learning_rate": 2.9508651013554548e-06, + "loss": 1.0119, + "step": 849 + }, + { + "epoch": 0.37, + "learning_rate": 2.9507345358664834e-06, + "loss": 0.6745, + "step": 850 + }, + { + "epoch": 0.37, + "learning_rate": 2.9506038000289465e-06, + "loss": 0.759, + "step": 851 + }, + { + "epoch": 0.37, + "learning_rate": 2.9504728938581945e-06, + "loss": 1.0333, + "step": 852 + }, + { + "epoch": 0.37, + "learning_rate": 2.9503418173695993e-06, + "loss": 0.714, + "step": 853 + }, + { + "epoch": 0.37, + "learning_rate": 2.950210570578552e-06, + "loss": 1.0262, + "step": 854 + }, + { + "epoch": 0.37, + "learning_rate": 2.9500791535004643e-06, + "loss": 1.1013, + "step": 855 + }, + { + "epoch": 0.37, + "learning_rate": 2.949947566150767e-06, + "loss": 0.977, + "step": 856 + }, + { + "epoch": 0.37, + "learning_rate": 2.949815808544912e-06, + "loss": 0.9921, + "step": 857 + }, + { + "epoch": 0.37, + "learning_rate": 2.9496838806983696e-06, + "loss": 1.2548, + "step": 858 + }, + { + "epoch": 0.37, + "learning_rate": 2.9495517826266315e-06, + "loss": 1.0739, + "step": 859 + }, + { + "epoch": 0.37, + "learning_rate": 2.9494195143452095e-06, + "loss": 0.8372, + "step": 860 + }, + { + "epoch": 0.37, + "learning_rate": 2.9492870758696344e-06, + "loss": 1.1985, + "step": 861 + }, + { + "epoch": 0.37, + "learning_rate": 2.9491544672154574e-06, + "loss": 1.2638, + "step": 862 + }, + { + "epoch": 0.37, + "learning_rate": 2.94902168839825e-06, + "loss": 1.1846, + "step": 863 + }, + { + "epoch": 0.37, + "learning_rate": 2.9488887394336023e-06, + "loss": 0.8291, + "step": 864 + }, + { + "epoch": 0.37, + "learning_rate": 2.948755620337127e-06, + "loss": 0.973, + "step": 865 + }, + { + "epoch": 0.37, + "learning_rate": 2.948622331124455e-06, + "loss": 0.9326, + "step": 866 + }, + { + "epoch": 0.37, + "learning_rate": 2.948488871811236e-06, + "loss": 1.1494, + "step": 867 + }, + { + "epoch": 0.37, + "learning_rate": 2.9483552424131425e-06, + "loss": 1.2494, + "step": 868 + }, + { + "epoch": 0.38, + "learning_rate": 2.9482214429458652e-06, + "loss": 1.2245, + "step": 869 + }, + { + "epoch": 0.38, + "learning_rate": 2.9480874734251152e-06, + "loss": 1.0355, + "step": 870 + }, + { + "epoch": 0.38, + "learning_rate": 2.9479533338666235e-06, + "loss": 0.7586, + "step": 871 + }, + { + "epoch": 0.38, + "learning_rate": 2.947819024286141e-06, + "loss": 0.6242, + "step": 872 + }, + { + "epoch": 0.38, + "learning_rate": 2.9476845446994383e-06, + "loss": 0.7493, + "step": 873 + }, + { + "epoch": 0.38, + "learning_rate": 2.947549895122307e-06, + "loss": 1.0136, + "step": 874 + }, + { + "epoch": 0.38, + "learning_rate": 2.9474150755705573e-06, + "loss": 0.9459, + "step": 875 + }, + { + "epoch": 0.38, + "learning_rate": 2.94728008606002e-06, + "loss": 1.0873, + "step": 876 + }, + { + "epoch": 0.38, + "learning_rate": 2.947144926606547e-06, + "loss": 1.3212, + "step": 877 + }, + { + "epoch": 0.38, + "learning_rate": 2.9470095972260078e-06, + "loss": 1.1887, + "step": 878 + }, + { + "epoch": 0.38, + "learning_rate": 2.9468740979342935e-06, + "loss": 0.993, + "step": 879 + }, + { + "epoch": 0.38, + "learning_rate": 2.9467384287473145e-06, + "loss": 1.405, + "step": 880 + }, + { + "epoch": 0.38, + "learning_rate": 2.946602589681002e-06, + "loss": 1.0319, + "step": 881 + }, + { + "epoch": 0.38, + "learning_rate": 2.946466580751306e-06, + "loss": 1.3933, + "step": 882 + }, + { + "epoch": 0.38, + "learning_rate": 2.9463304019741973e-06, + "loss": 1.0465, + "step": 883 + }, + { + "epoch": 0.38, + "learning_rate": 2.9461940533656656e-06, + "loss": 1.0652, + "step": 884 + }, + { + "epoch": 0.38, + "learning_rate": 2.9460575349417227e-06, + "loss": 1.2942, + "step": 885 + }, + { + "epoch": 0.38, + "learning_rate": 2.9459208467183975e-06, + "loss": 1.0143, + "step": 886 + }, + { + "epoch": 0.38, + "learning_rate": 2.9457839887117408e-06, + "loss": 0.8945, + "step": 887 + }, + { + "epoch": 0.38, + "learning_rate": 2.945646960937823e-06, + "loss": 1.051, + "step": 888 + }, + { + "epoch": 0.38, + "learning_rate": 2.9455097634127337e-06, + "loss": 1.0819, + "step": 889 + }, + { + "epoch": 0.38, + "learning_rate": 2.9453723961525833e-06, + "loss": 1.4003, + "step": 890 + }, + { + "epoch": 0.38, + "learning_rate": 2.9452348591735017e-06, + "loss": 1.0707, + "step": 891 + }, + { + "epoch": 0.38, + "learning_rate": 2.9450971524916385e-06, + "loss": 0.6619, + "step": 892 + }, + { + "epoch": 0.39, + "learning_rate": 2.944959276123164e-06, + "loss": 0.9369, + "step": 893 + }, + { + "epoch": 0.39, + "learning_rate": 2.9448212300842682e-06, + "loss": 1.2272, + "step": 894 + }, + { + "epoch": 0.39, + "learning_rate": 2.94468301439116e-06, + "loss": 1.2543, + "step": 895 + }, + { + "epoch": 0.39, + "learning_rate": 2.94454462906007e-06, + "loss": 1.0865, + "step": 896 + }, + { + "epoch": 0.39, + "learning_rate": 2.944406074107246e-06, + "loss": 1.2047, + "step": 897 + }, + { + "epoch": 0.39, + "learning_rate": 2.9442673495489595e-06, + "loss": 0.9421, + "step": 898 + }, + { + "epoch": 0.39, + "learning_rate": 2.944128455401498e-06, + "loss": 0.9132, + "step": 899 + }, + { + "epoch": 0.39, + "learning_rate": 2.9439893916811723e-06, + "loss": 1.2146, + "step": 900 + }, + { + "epoch": 0.39, + "learning_rate": 2.943850158404311e-06, + "loss": 0.7985, + "step": 901 + }, + { + "epoch": 0.39, + "learning_rate": 2.9437107555872632e-06, + "loss": 1.1325, + "step": 902 + }, + { + "epoch": 0.39, + "learning_rate": 2.9435711832463975e-06, + "loss": 1.0415, + "step": 903 + }, + { + "epoch": 0.39, + "learning_rate": 2.943431441398103e-06, + "loss": 1.1776, + "step": 904 + }, + { + "epoch": 0.39, + "learning_rate": 2.9432915300587886e-06, + "loss": 0.9809, + "step": 905 + }, + { + "epoch": 0.39, + "learning_rate": 2.9431514492448836e-06, + "loss": 0.8944, + "step": 906 + }, + { + "epoch": 0.39, + "learning_rate": 2.9430111989728353e-06, + "loss": 0.9421, + "step": 907 + }, + { + "epoch": 0.39, + "learning_rate": 2.942870779259114e-06, + "loss": 0.8007, + "step": 908 + }, + { + "epoch": 0.39, + "learning_rate": 2.942730190120206e-06, + "loss": 0.8999, + "step": 909 + }, + { + "epoch": 0.39, + "learning_rate": 2.9425894315726213e-06, + "loss": 1.3596, + "step": 910 + }, + { + "epoch": 0.39, + "learning_rate": 2.942448503632887e-06, + "loss": 1.0807, + "step": 911 + }, + { + "epoch": 0.39, + "learning_rate": 2.9423074063175524e-06, + "loss": 0.7669, + "step": 912 + }, + { + "epoch": 0.39, + "learning_rate": 2.942166139643184e-06, + "loss": 0.6416, + "step": 913 + }, + { + "epoch": 0.39, + "learning_rate": 2.942024703626371e-06, + "loss": 0.835, + "step": 914 + }, + { + "epoch": 0.39, + "learning_rate": 2.94188309828372e-06, + "loss": 0.9678, + "step": 915 + }, + { + "epoch": 0.4, + "learning_rate": 2.9417413236318593e-06, + "loss": 1.1446, + "step": 916 + }, + { + "epoch": 0.4, + "learning_rate": 2.941599379687436e-06, + "loss": 0.8227, + "step": 917 + }, + { + "epoch": 0.4, + "learning_rate": 2.9414572664671182e-06, + "loss": 0.9563, + "step": 918 + }, + { + "epoch": 0.4, + "learning_rate": 2.941314983987592e-06, + "loss": 1.1794, + "step": 919 + }, + { + "epoch": 0.4, + "learning_rate": 2.9411725322655658e-06, + "loss": 0.9981, + "step": 920 + }, + { + "epoch": 0.4, + "learning_rate": 2.9410299113177657e-06, + "loss": 1.1344, + "step": 921 + }, + { + "epoch": 0.4, + "learning_rate": 2.940887121160939e-06, + "loss": 1.0589, + "step": 922 + }, + { + "epoch": 0.4, + "learning_rate": 2.9407441618118523e-06, + "loss": 1.0436, + "step": 923 + }, + { + "epoch": 0.4, + "learning_rate": 2.9406010332872925e-06, + "loss": 0.8618, + "step": 924 + }, + { + "epoch": 0.4, + "learning_rate": 2.9404577356040655e-06, + "loss": 1.1137, + "step": 925 + }, + { + "epoch": 0.4, + "learning_rate": 2.940314268778998e-06, + "loss": 1.1607, + "step": 926 + }, + { + "epoch": 0.4, + "learning_rate": 2.9401706328289365e-06, + "loss": 0.9021, + "step": 927 + }, + { + "epoch": 0.4, + "learning_rate": 2.9400268277707464e-06, + "loss": 1.1061, + "step": 928 + }, + { + "epoch": 0.4, + "learning_rate": 2.939882853621314e-06, + "loss": 0.8798, + "step": 929 + }, + { + "epoch": 0.4, + "learning_rate": 2.9397387103975448e-06, + "loss": 1.0488, + "step": 930 + }, + { + "epoch": 0.4, + "learning_rate": 2.939594398116365e-06, + "loss": 1.2219, + "step": 931 + }, + { + "epoch": 0.4, + "learning_rate": 2.9394499167947198e-06, + "loss": 0.5683, + "step": 932 + }, + { + "epoch": 0.4, + "learning_rate": 2.9393052664495744e-06, + "loss": 0.9425, + "step": 933 + }, + { + "epoch": 0.4, + "learning_rate": 2.939160447097914e-06, + "loss": 1.1467, + "step": 934 + }, + { + "epoch": 0.4, + "learning_rate": 2.9390154587567436e-06, + "loss": 1.1428, + "step": 935 + }, + { + "epoch": 0.4, + "learning_rate": 2.938870301443088e-06, + "loss": 0.8801, + "step": 936 + }, + { + "epoch": 0.4, + "learning_rate": 2.9387249751739924e-06, + "loss": 1.1294, + "step": 937 + }, + { + "epoch": 0.4, + "learning_rate": 2.9385794799665204e-06, + "loss": 1.2765, + "step": 938 + }, + { + "epoch": 0.41, + "learning_rate": 2.9384338158377576e-06, + "loss": 0.8579, + "step": 939 + }, + { + "epoch": 0.41, + "learning_rate": 2.938287982804807e-06, + "loss": 1.2596, + "step": 940 + }, + { + "epoch": 0.41, + "learning_rate": 2.9381419808847934e-06, + "loss": 1.2239, + "step": 941 + }, + { + "epoch": 0.41, + "learning_rate": 2.937995810094861e-06, + "loss": 1.0503, + "step": 942 + }, + { + "epoch": 0.41, + "learning_rate": 2.937849470452172e-06, + "loss": 0.9454, + "step": 943 + }, + { + "epoch": 0.41, + "learning_rate": 2.9377029619739116e-06, + "loss": 1.0779, + "step": 944 + }, + { + "epoch": 0.41, + "learning_rate": 2.9375562846772827e-06, + "loss": 0.978, + "step": 945 + }, + { + "epoch": 0.41, + "learning_rate": 2.9374094385795075e-06, + "loss": 0.9579, + "step": 946 + }, + { + "epoch": 0.41, + "learning_rate": 2.9372624236978306e-06, + "loss": 1.1602, + "step": 947 + }, + { + "epoch": 0.41, + "learning_rate": 2.9371152400495133e-06, + "loss": 1.1092, + "step": 948 + }, + { + "epoch": 0.41, + "learning_rate": 2.936967887651839e-06, + "loss": 1.1953, + "step": 949 + }, + { + "epoch": 0.41, + "learning_rate": 2.9368203665221106e-06, + "loss": 0.9316, + "step": 950 + }, + { + "epoch": 0.41, + "learning_rate": 2.93667267667765e-06, + "loss": 1.0263, + "step": 951 + }, + { + "epoch": 0.41, + "learning_rate": 2.9365248181357982e-06, + "loss": 0.8453, + "step": 952 + }, + { + "epoch": 0.41, + "learning_rate": 2.9363767909139187e-06, + "loss": 1.2129, + "step": 953 + }, + { + "epoch": 0.41, + "learning_rate": 2.936228595029392e-06, + "loss": 1.0142, + "step": 954 + }, + { + "epoch": 0.41, + "learning_rate": 2.936080230499621e-06, + "loss": 0.8644, + "step": 955 + }, + { + "epoch": 0.41, + "learning_rate": 2.9359316973420258e-06, + "loss": 0.9413, + "step": 956 + }, + { + "epoch": 0.41, + "learning_rate": 2.935782995574047e-06, + "loss": 0.9315, + "step": 957 + }, + { + "epoch": 0.41, + "learning_rate": 2.9356341252131473e-06, + "loss": 0.805, + "step": 958 + }, + { + "epoch": 0.41, + "learning_rate": 2.935485086276806e-06, + "loss": 1.1874, + "step": 959 + }, + { + "epoch": 0.41, + "learning_rate": 2.935335878782524e-06, + "loss": 0.8654, + "step": 960 + }, + { + "epoch": 0.41, + "learning_rate": 2.9351865027478223e-06, + "loss": 0.7039, + "step": 961 + }, + { + "epoch": 0.42, + "learning_rate": 2.9350369581902397e-06, + "loss": 0.6442, + "step": 962 + }, + { + "epoch": 0.42, + "learning_rate": 2.9348872451273364e-06, + "loss": 1.0855, + "step": 963 + }, + { + "epoch": 0.42, + "learning_rate": 2.9347373635766932e-06, + "loss": 1.1794, + "step": 964 + }, + { + "epoch": 0.42, + "learning_rate": 2.934587313555908e-06, + "loss": 1.1012, + "step": 965 + }, + { + "epoch": 0.42, + "learning_rate": 2.9344370950826008e-06, + "loss": 0.6425, + "step": 966 + }, + { + "epoch": 0.42, + "learning_rate": 2.93428670817441e-06, + "loss": 1.0236, + "step": 967 + }, + { + "epoch": 0.42, + "learning_rate": 2.9341361528489954e-06, + "loss": 1.0628, + "step": 968 + }, + { + "epoch": 0.42, + "learning_rate": 2.9339854291240346e-06, + "loss": 1.1964, + "step": 969 + }, + { + "epoch": 0.42, + "learning_rate": 2.9338345370172265e-06, + "loss": 1.1374, + "step": 970 + }, + { + "epoch": 0.42, + "learning_rate": 2.9336834765462886e-06, + "loss": 0.8944, + "step": 971 + }, + { + "epoch": 0.42, + "learning_rate": 2.93353224772896e-06, + "loss": 1.0101, + "step": 972 + }, + { + "epoch": 0.42, + "learning_rate": 2.9333808505829966e-06, + "loss": 0.9595, + "step": 973 + }, + { + "epoch": 0.42, + "learning_rate": 2.9332292851261774e-06, + "loss": 1.5989, + "step": 974 + }, + { + "epoch": 0.42, + "learning_rate": 2.933077551376298e-06, + "loss": 0.9131, + "step": 975 + }, + { + "epoch": 0.42, + "learning_rate": 2.932925649351177e-06, + "loss": 1.2336, + "step": 976 + }, + { + "epoch": 0.42, + "learning_rate": 2.93277357906865e-06, + "loss": 0.9783, + "step": 977 + }, + { + "epoch": 0.42, + "learning_rate": 2.932621340546574e-06, + "loss": 0.8633, + "step": 978 + }, + { + "epoch": 0.42, + "learning_rate": 2.9324689338028243e-06, + "loss": 1.1258, + "step": 979 + }, + { + "epoch": 0.42, + "learning_rate": 2.932316358855298e-06, + "loss": 1.1425, + "step": 980 + }, + { + "epoch": 0.42, + "learning_rate": 2.93216361572191e-06, + "loss": 0.6341, + "step": 981 + }, + { + "epoch": 0.42, + "learning_rate": 2.9320107044205954e-06, + "loss": 0.955, + "step": 982 + }, + { + "epoch": 0.42, + "learning_rate": 2.931857624969311e-06, + "loss": 1.2249, + "step": 983 + }, + { + "epoch": 0.42, + "learning_rate": 2.93170437738603e-06, + "loss": 1.0899, + "step": 984 + }, + { + "epoch": 0.43, + "learning_rate": 2.9315509616887482e-06, + "loss": 1.2387, + "step": 985 + }, + { + "epoch": 0.43, + "learning_rate": 2.9313973778954795e-06, + "loss": 1.2573, + "step": 986 + }, + { + "epoch": 0.43, + "learning_rate": 2.9312436260242582e-06, + "loss": 1.1757, + "step": 987 + }, + { + "epoch": 0.43, + "learning_rate": 2.931089706093138e-06, + "loss": 0.8837, + "step": 988 + }, + { + "epoch": 0.43, + "learning_rate": 2.930935618120193e-06, + "loss": 0.7885, + "step": 989 + }, + { + "epoch": 0.43, + "learning_rate": 2.9307813621235164e-06, + "loss": 1.2819, + "step": 990 + }, + { + "epoch": 0.43, + "learning_rate": 2.9306269381212206e-06, + "loss": 0.9802, + "step": 991 + }, + { + "epoch": 0.43, + "learning_rate": 2.930472346131439e-06, + "loss": 0.5953, + "step": 992 + }, + { + "epoch": 0.43, + "learning_rate": 2.930317586172325e-06, + "loss": 1.0562, + "step": 993 + }, + { + "epoch": 0.43, + "learning_rate": 2.9301626582620493e-06, + "loss": 1.0448, + "step": 994 + }, + { + "epoch": 0.43, + "learning_rate": 2.930007562418805e-06, + "loss": 1.3228, + "step": 995 + }, + { + "epoch": 0.43, + "learning_rate": 2.929852298660803e-06, + "loss": 0.9678, + "step": 996 + }, + { + "epoch": 0.43, + "learning_rate": 2.9296968670062755e-06, + "loss": 0.8337, + "step": 997 + }, + { + "epoch": 0.43, + "learning_rate": 2.929541267473473e-06, + "loss": 1.0928, + "step": 998 + }, + { + "epoch": 0.43, + "learning_rate": 2.9293855000806665e-06, + "loss": 0.7941, + "step": 999 + }, + { + "epoch": 0.43, + "learning_rate": 2.9292295648461465e-06, + "loss": 1.1375, + "step": 1000 + }, + { + "epoch": 0.43, + "learning_rate": 2.9290734617882237e-06, + "loss": 0.9867, + "step": 1001 + }, + { + "epoch": 0.43, + "learning_rate": 2.9289171909252284e-06, + "loss": 0.9038, + "step": 1002 + }, + { + "epoch": 0.43, + "learning_rate": 2.928760752275509e-06, + "loss": 0.8326, + "step": 1003 + }, + { + "epoch": 0.43, + "learning_rate": 2.928604145857436e-06, + "loss": 1.009, + "step": 1004 + }, + { + "epoch": 0.43, + "learning_rate": 2.9284473716893978e-06, + "loss": 0.7926, + "step": 1005 + }, + { + "epoch": 0.43, + "learning_rate": 2.9282904297898035e-06, + "loss": 1.2134, + "step": 1006 + }, + { + "epoch": 0.43, + "learning_rate": 2.9281333201770813e-06, + "loss": 1.0612, + "step": 1007 + }, + { + "epoch": 0.44, + "learning_rate": 2.9279760428696804e-06, + "loss": 0.8213, + "step": 1008 + }, + { + "epoch": 0.44, + "learning_rate": 2.9278185978860674e-06, + "loss": 0.8472, + "step": 1009 + }, + { + "epoch": 0.44, + "learning_rate": 2.9276609852447304e-06, + "loss": 0.9122, + "step": 1010 + }, + { + "epoch": 0.44, + "learning_rate": 2.927503204964176e-06, + "loss": 1.0025, + "step": 1011 + }, + { + "epoch": 0.44, + "learning_rate": 2.9273452570629325e-06, + "loss": 0.9094, + "step": 1012 + }, + { + "epoch": 0.44, + "learning_rate": 2.927187141559545e-06, + "loss": 1.3681, + "step": 1013 + }, + { + "epoch": 0.44, + "learning_rate": 2.9270288584725812e-06, + "loss": 1.3082, + "step": 1014 + }, + { + "epoch": 0.44, + "learning_rate": 2.926870407820626e-06, + "loss": 0.7559, + "step": 1015 + }, + { + "epoch": 0.44, + "learning_rate": 2.9267117896222848e-06, + "loss": 0.8261, + "step": 1016 + }, + { + "epoch": 0.44, + "learning_rate": 2.926553003896184e-06, + "loss": 0.9812, + "step": 1017 + }, + { + "epoch": 0.44, + "learning_rate": 2.926394050660968e-06, + "loss": 0.95, + "step": 1018 + }, + { + "epoch": 0.44, + "learning_rate": 2.926234929935302e-06, + "loss": 1.2821, + "step": 1019 + }, + { + "epoch": 0.44, + "learning_rate": 2.926075641737869e-06, + "loss": 0.8821, + "step": 1020 + }, + { + "epoch": 0.44, + "learning_rate": 2.925916186087374e-06, + "loss": 1.0386, + "step": 1021 + }, + { + "epoch": 0.44, + "learning_rate": 2.9257565630025408e-06, + "loss": 1.3073, + "step": 1022 + }, + { + "epoch": 0.44, + "learning_rate": 2.925596772502112e-06, + "loss": 1.1673, + "step": 1023 + }, + { + "epoch": 0.44, + "learning_rate": 2.9254368146048517e-06, + "loss": 1.1257, + "step": 1024 + }, + { + "epoch": 0.44, + "learning_rate": 2.925276689329541e-06, + "loss": 0.7219, + "step": 1025 + }, + { + "epoch": 0.44, + "learning_rate": 2.925116396694983e-06, + "loss": 0.9967, + "step": 1026 + }, + { + "epoch": 0.44, + "learning_rate": 2.92495593672e-06, + "loss": 1.0274, + "step": 1027 + }, + { + "epoch": 0.44, + "learning_rate": 2.9247953094234324e-06, + "loss": 0.7967, + "step": 1028 + }, + { + "epoch": 0.44, + "learning_rate": 2.9246345148241423e-06, + "loss": 0.9687, + "step": 1029 + }, + { + "epoch": 0.44, + "learning_rate": 2.9244735529410107e-06, + "loss": 0.9867, + "step": 1030 + }, + { + "epoch": 0.44, + "learning_rate": 2.924312423792938e-06, + "loss": 0.9928, + "step": 1031 + }, + { + "epoch": 0.45, + "learning_rate": 2.9241511273988443e-06, + "loss": 0.4831, + "step": 1032 + }, + { + "epoch": 0.45, + "learning_rate": 2.923989663777669e-06, + "loss": 0.8635, + "step": 1033 + }, + { + "epoch": 0.45, + "learning_rate": 2.923828032948372e-06, + "loss": 1.0183, + "step": 1034 + }, + { + "epoch": 0.45, + "learning_rate": 2.923666234929932e-06, + "loss": 1.2433, + "step": 1035 + }, + { + "epoch": 0.45, + "learning_rate": 2.923504269741348e-06, + "loss": 1.016, + "step": 1036 + }, + { + "epoch": 0.45, + "learning_rate": 2.923342137401638e-06, + "loss": 1.0538, + "step": 1037 + }, + { + "epoch": 0.45, + "learning_rate": 2.9231798379298404e-06, + "loss": 1.2156, + "step": 1038 + }, + { + "epoch": 0.45, + "learning_rate": 2.9230173713450124e-06, + "loss": 1.2698, + "step": 1039 + }, + { + "epoch": 0.45, + "learning_rate": 2.922854737666231e-06, + "loss": 1.0256, + "step": 1040 + }, + { + "epoch": 0.45, + "learning_rate": 2.9226919369125937e-06, + "loss": 1.087, + "step": 1041 + }, + { + "epoch": 0.45, + "learning_rate": 2.9225289691032164e-06, + "loss": 1.1647, + "step": 1042 + }, + { + "epoch": 0.45, + "learning_rate": 2.9223658342572356e-06, + "loss": 1.3297, + "step": 1043 + }, + { + "epoch": 0.45, + "learning_rate": 2.922202532393807e-06, + "loss": 1.1143, + "step": 1044 + }, + { + "epoch": 0.45, + "learning_rate": 2.9220390635321045e-06, + "loss": 1.044, + "step": 1045 + }, + { + "epoch": 0.45, + "learning_rate": 2.921875427691325e-06, + "loss": 1.0758, + "step": 1046 + }, + { + "epoch": 0.45, + "learning_rate": 2.9217116248906816e-06, + "loss": 0.8036, + "step": 1047 + }, + { + "epoch": 0.45, + "learning_rate": 2.9215476551494086e-06, + "loss": 1.0451, + "step": 1048 + }, + { + "epoch": 0.45, + "learning_rate": 2.9213835184867604e-06, + "loss": 1.3635, + "step": 1049 + }, + { + "epoch": 0.45, + "learning_rate": 2.9212192149220095e-06, + "loss": 1.04, + "step": 1050 + }, + { + "epoch": 0.45, + "learning_rate": 2.92105474447445e-06, + "loss": 0.8852, + "step": 1051 + }, + { + "epoch": 0.45, + "learning_rate": 2.9208901071633927e-06, + "loss": 1.0754, + "step": 1052 + }, + { + "epoch": 0.45, + "learning_rate": 2.9207253030081707e-06, + "loss": 1.0441, + "step": 1053 + }, + { + "epoch": 0.45, + "learning_rate": 2.9205603320281356e-06, + "loss": 0.5929, + "step": 1054 + }, + { + "epoch": 0.46, + "learning_rate": 2.9203951942426586e-06, + "loss": 0.912, + "step": 1055 + }, + { + "epoch": 0.46, + "learning_rate": 2.9202298896711304e-06, + "loss": 0.9385, + "step": 1056 + }, + { + "epoch": 0.46, + "learning_rate": 2.920064418332962e-06, + "loss": 0.8818, + "step": 1057 + }, + { + "epoch": 0.46, + "learning_rate": 2.9198987802475827e-06, + "loss": 0.8678, + "step": 1058 + }, + { + "epoch": 0.46, + "learning_rate": 2.9197329754344424e-06, + "loss": 1.0032, + "step": 1059 + }, + { + "epoch": 0.46, + "learning_rate": 2.9195670039130103e-06, + "loss": 1.1993, + "step": 1060 + }, + { + "epoch": 0.46, + "learning_rate": 2.919400865702775e-06, + "loss": 0.9237, + "step": 1061 + }, + { + "epoch": 0.46, + "learning_rate": 2.9192345608232457e-06, + "loss": 1.1928, + "step": 1062 + }, + { + "epoch": 0.46, + "learning_rate": 2.9190680892939487e-06, + "loss": 0.8844, + "step": 1063 + }, + { + "epoch": 0.46, + "learning_rate": 2.918901451134433e-06, + "loss": 1.3083, + "step": 1064 + }, + { + "epoch": 0.46, + "learning_rate": 2.9187346463642646e-06, + "loss": 0.8613, + "step": 1065 + }, + { + "epoch": 0.46, + "learning_rate": 2.9185676750030307e-06, + "loss": 1.0481, + "step": 1066 + }, + { + "epoch": 0.46, + "learning_rate": 2.918400537070337e-06, + "loss": 0.5445, + "step": 1067 + }, + { + "epoch": 0.46, + "learning_rate": 2.9182332325858094e-06, + "loss": 0.7222, + "step": 1068 + }, + { + "epoch": 0.46, + "learning_rate": 2.9180657615690933e-06, + "loss": 0.7606, + "step": 1069 + }, + { + "epoch": 0.46, + "learning_rate": 2.9178981240398533e-06, + "loss": 1.01, + "step": 1070 + }, + { + "epoch": 0.46, + "learning_rate": 2.9177303200177745e-06, + "loss": 1.0333, + "step": 1071 + }, + { + "epoch": 0.46, + "learning_rate": 2.9175623495225595e-06, + "loss": 0.9392, + "step": 1072 + }, + { + "epoch": 0.46, + "learning_rate": 2.917394212573933e-06, + "loss": 1.0995, + "step": 1073 + }, + { + "epoch": 0.46, + "learning_rate": 2.917225909191638e-06, + "loss": 0.7307, + "step": 1074 + }, + { + "epoch": 0.46, + "learning_rate": 2.917057439395436e-06, + "loss": 1.4723, + "step": 1075 + }, + { + "epoch": 0.46, + "learning_rate": 2.91688880320511e-06, + "loss": 0.9406, + "step": 1076 + }, + { + "epoch": 0.46, + "learning_rate": 2.916720000640461e-06, + "loss": 0.8594, + "step": 1077 + }, + { + "epoch": 0.47, + "learning_rate": 2.9165510317213113e-06, + "loss": 1.1443, + "step": 1078 + }, + { + "epoch": 0.47, + "learning_rate": 2.9163818964675e-06, + "loss": 0.5679, + "step": 1079 + }, + { + "epoch": 0.47, + "learning_rate": 2.916212594898889e-06, + "loss": 0.8811, + "step": 1080 + }, + { + "epoch": 0.47, + "learning_rate": 2.9160431270353572e-06, + "loss": 1.1736, + "step": 1081 + }, + { + "epoch": 0.47, + "learning_rate": 2.915873492896804e-06, + "loss": 1.2539, + "step": 1082 + }, + { + "epoch": 0.47, + "learning_rate": 2.915703692503148e-06, + "loss": 0.5927, + "step": 1083 + }, + { + "epoch": 0.47, + "learning_rate": 2.915533725874328e-06, + "loss": 0.6974, + "step": 1084 + }, + { + "epoch": 0.47, + "learning_rate": 2.915363593030302e-06, + "loss": 1.1239, + "step": 1085 + }, + { + "epoch": 0.47, + "learning_rate": 2.9151932939910465e-06, + "loss": 0.7877, + "step": 1086 + }, + { + "epoch": 0.47, + "learning_rate": 2.9150228287765592e-06, + "loss": 1.2002, + "step": 1087 + }, + { + "epoch": 0.47, + "learning_rate": 2.914852197406856e-06, + "loss": 1.1548, + "step": 1088 + }, + { + "epoch": 0.47, + "learning_rate": 2.914681399901974e-06, + "loss": 0.972, + "step": 1089 + }, + { + "epoch": 0.47, + "learning_rate": 2.9145104362819666e-06, + "loss": 1.0343, + "step": 1090 + }, + { + "epoch": 0.47, + "learning_rate": 2.914339306566911e-06, + "loss": 1.1537, + "step": 1091 + }, + { + "epoch": 0.47, + "learning_rate": 2.9141680107768997e-06, + "loss": 0.8685, + "step": 1092 + }, + { + "epoch": 0.47, + "learning_rate": 2.9139965489320477e-06, + "loss": 1.2266, + "step": 1093 + }, + { + "epoch": 0.47, + "learning_rate": 2.9138249210524877e-06, + "loss": 1.0454, + "step": 1094 + }, + { + "epoch": 0.47, + "learning_rate": 2.913653127158374e-06, + "loss": 1.1902, + "step": 1095 + }, + { + "epoch": 0.47, + "learning_rate": 2.913481167269878e-06, + "loss": 1.3076, + "step": 1096 + }, + { + "epoch": 0.47, + "learning_rate": 2.9133090414071914e-06, + "loss": 0.8986, + "step": 1097 + }, + { + "epoch": 0.47, + "learning_rate": 2.9131367495905263e-06, + "loss": 1.0318, + "step": 1098 + }, + { + "epoch": 0.47, + "learning_rate": 2.912964291840113e-06, + "loss": 1.1292, + "step": 1099 + }, + { + "epoch": 0.47, + "learning_rate": 2.912791668176203e-06, + "loss": 1.2041, + "step": 1100 + }, + { + "epoch": 0.48, + "learning_rate": 2.9126188786190646e-06, + "loss": 0.9368, + "step": 1101 + }, + { + "epoch": 0.48, + "learning_rate": 2.912445923188988e-06, + "loss": 1.0162, + "step": 1102 + }, + { + "epoch": 0.48, + "learning_rate": 2.912272801906282e-06, + "loss": 1.0391, + "step": 1103 + }, + { + "epoch": 0.48, + "learning_rate": 2.912099514791275e-06, + "loss": 0.8176, + "step": 1104 + }, + { + "epoch": 0.48, + "learning_rate": 2.9119260618643145e-06, + "loss": 1.0232, + "step": 1105 + }, + { + "epoch": 0.48, + "learning_rate": 2.9117524431457678e-06, + "loss": 1.0424, + "step": 1106 + }, + { + "epoch": 0.48, + "learning_rate": 2.9115786586560216e-06, + "loss": 0.784, + "step": 1107 + }, + { + "epoch": 0.48, + "learning_rate": 2.911404708415482e-06, + "loss": 1.0392, + "step": 1108 + }, + { + "epoch": 0.48, + "learning_rate": 2.9112305924445748e-06, + "loss": 1.348, + "step": 1109 + }, + { + "epoch": 0.48, + "learning_rate": 2.911056310763745e-06, + "loss": 0.9373, + "step": 1110 + }, + { + "epoch": 0.48, + "learning_rate": 2.9108818633934577e-06, + "loss": 0.8979, + "step": 1111 + }, + { + "epoch": 0.48, + "learning_rate": 2.910707250354196e-06, + "loss": 0.7092, + "step": 1112 + }, + { + "epoch": 0.48, + "learning_rate": 2.910532471666464e-06, + "loss": 1.0774, + "step": 1113 + }, + { + "epoch": 0.48, + "learning_rate": 2.9103575273507838e-06, + "loss": 0.9377, + "step": 1114 + }, + { + "epoch": 0.48, + "learning_rate": 2.9101824174276993e-06, + "loss": 1.2412, + "step": 1115 + }, + { + "epoch": 0.48, + "learning_rate": 2.9100071419177704e-06, + "loss": 0.8608, + "step": 1116 + }, + { + "epoch": 0.48, + "learning_rate": 2.9098317008415796e-06, + "loss": 1.069, + "step": 1117 + }, + { + "epoch": 0.48, + "learning_rate": 2.909656094219727e-06, + "loss": 1.1998, + "step": 1118 + }, + { + "epoch": 0.48, + "learning_rate": 2.9094803220728336e-06, + "loss": 0.9115, + "step": 1119 + }, + { + "epoch": 0.48, + "learning_rate": 2.9093043844215387e-06, + "loss": 1.1323, + "step": 1120 + }, + { + "epoch": 0.48, + "learning_rate": 2.9091282812865002e-06, + "loss": 0.9386, + "step": 1121 + }, + { + "epoch": 0.48, + "learning_rate": 2.9089520126883977e-06, + "loss": 1.3749, + "step": 1122 + }, + { + "epoch": 0.48, + "learning_rate": 2.9087755786479287e-06, + "loss": 1.2341, + "step": 1123 + }, + { + "epoch": 0.49, + "learning_rate": 2.9085989791858104e-06, + "loss": 0.9957, + "step": 1124 + }, + { + "epoch": 0.49, + "learning_rate": 2.9084222143227796e-06, + "loss": 0.9658, + "step": 1125 + }, + { + "epoch": 0.49, + "learning_rate": 2.908245284079592e-06, + "loss": 1.0964, + "step": 1126 + }, + { + "epoch": 0.49, + "learning_rate": 2.908068188477024e-06, + "loss": 1.2345, + "step": 1127 + }, + { + "epoch": 0.49, + "learning_rate": 2.9078909275358703e-06, + "loss": 0.9007, + "step": 1128 + }, + { + "epoch": 0.49, + "learning_rate": 2.9077135012769445e-06, + "loss": 1.0418, + "step": 1129 + }, + { + "epoch": 0.49, + "learning_rate": 2.9075359097210815e-06, + "loss": 1.1044, + "step": 1130 + }, + { + "epoch": 0.49, + "learning_rate": 2.907358152889134e-06, + "loss": 0.9292, + "step": 1131 + }, + { + "epoch": 0.49, + "learning_rate": 2.9071802308019746e-06, + "loss": 1.1871, + "step": 1132 + }, + { + "epoch": 0.49, + "learning_rate": 2.9070021434804952e-06, + "loss": 0.8854, + "step": 1133 + }, + { + "epoch": 0.49, + "learning_rate": 2.906823890945608e-06, + "loss": 0.9536, + "step": 1134 + }, + { + "epoch": 0.49, + "learning_rate": 2.9066454732182426e-06, + "loss": 1.3593, + "step": 1135 + }, + { + "epoch": 0.49, + "learning_rate": 2.90646689031935e-06, + "loss": 1.0656, + "step": 1136 + }, + { + "epoch": 0.49, + "learning_rate": 2.9062881422699e-06, + "loss": 0.9117, + "step": 1137 + }, + { + "epoch": 0.49, + "learning_rate": 2.9061092290908806e-06, + "loss": 1.2503, + "step": 1138 + }, + { + "epoch": 0.49, + "learning_rate": 2.905930150803301e-06, + "loss": 1.062, + "step": 1139 + }, + { + "epoch": 0.49, + "learning_rate": 2.9057509074281892e-06, + "loss": 1.1214, + "step": 1140 + }, + { + "epoch": 0.49, + "learning_rate": 2.9055714989865917e-06, + "loss": 0.4302, + "step": 1141 + }, + { + "epoch": 0.49, + "learning_rate": 2.9053919254995754e-06, + "loss": 0.9146, + "step": 1142 + }, + { + "epoch": 0.49, + "learning_rate": 2.9052121869882262e-06, + "loss": 1.1927, + "step": 1143 + }, + { + "epoch": 0.49, + "learning_rate": 2.9050322834736494e-06, + "loss": 1.0486, + "step": 1144 + }, + { + "epoch": 0.49, + "learning_rate": 2.9048522149769695e-06, + "loss": 1.0296, + "step": 1145 + }, + { + "epoch": 0.49, + "learning_rate": 2.9046719815193305e-06, + "loss": 0.7783, + "step": 1146 + }, + { + "epoch": 0.5, + "learning_rate": 2.9044915831218965e-06, + "loss": 1.2398, + "step": 1147 + }, + { + "epoch": 0.5, + "learning_rate": 2.9043110198058495e-06, + "loss": 1.0766, + "step": 1148 + }, + { + "epoch": 0.5, + "learning_rate": 2.904130291592392e-06, + "loss": 0.9817, + "step": 1149 + }, + { + "epoch": 0.5, + "learning_rate": 2.9039493985027455e-06, + "loss": 1.1198, + "step": 1150 + }, + { + "epoch": 0.5, + "learning_rate": 2.903768340558151e-06, + "loss": 0.9857, + "step": 1151 + }, + { + "epoch": 0.5, + "learning_rate": 2.903587117779869e-06, + "loss": 1.0523, + "step": 1152 + }, + { + "epoch": 0.5, + "learning_rate": 2.903405730189178e-06, + "loss": 0.7595, + "step": 1153 + }, + { + "epoch": 0.5, + "learning_rate": 2.903224177807378e-06, + "loss": 1.256, + "step": 1154 + }, + { + "epoch": 0.5, + "learning_rate": 2.9030424606557867e-06, + "loss": 1.2903, + "step": 1155 + }, + { + "epoch": 0.5, + "learning_rate": 2.9028605787557424e-06, + "loss": 0.958, + "step": 1156 + }, + { + "epoch": 0.5, + "learning_rate": 2.9026785321286014e-06, + "loss": 0.9544, + "step": 1157 + }, + { + "epoch": 0.5, + "learning_rate": 2.9024963207957404e-06, + "loss": 1.0159, + "step": 1158 + }, + { + "epoch": 0.5, + "learning_rate": 2.9023139447785553e-06, + "loss": 1.0906, + "step": 1159 + }, + { + "epoch": 0.5, + "learning_rate": 2.9021314040984605e-06, + "loss": 1.2121, + "step": 1160 + }, + { + "epoch": 0.5, + "eval_loss": 1.2559232711791992, + "eval_runtime": 32.0093, + "eval_samples_per_second": 38.895, + "eval_steps_per_second": 19.463, + "step": 1160 + }, + { + "epoch": 0.5, + "learning_rate": 2.9019486987768905e-06, + "loss": 0.9211, + "step": 1161 + }, + { + "epoch": 0.5, + "learning_rate": 2.901765828835299e-06, + "loss": 0.9292, + "step": 1162 + }, + { + "epoch": 0.5, + "learning_rate": 2.9015827942951596e-06, + "loss": 1.0443, + "step": 1163 + }, + { + "epoch": 0.5, + "learning_rate": 2.901399595177964e-06, + "loss": 1.0231, + "step": 1164 + }, + { + "epoch": 0.5, + "learning_rate": 2.901216231505224e-06, + "loss": 0.9451, + "step": 1165 + }, + { + "epoch": 0.5, + "learning_rate": 2.9010327032984707e-06, + "loss": 0.9782, + "step": 1166 + }, + { + "epoch": 0.5, + "learning_rate": 2.900849010579254e-06, + "loss": 1.1621, + "step": 1167 + }, + { + "epoch": 0.5, + "learning_rate": 2.9006651533691443e-06, + "loss": 1.0195, + "step": 1168 + }, + { + "epoch": 0.5, + "learning_rate": 2.9004811316897295e-06, + "loss": 0.8629, + "step": 1169 + }, + { + "epoch": 0.5, + "learning_rate": 2.9002969455626186e-06, + "loss": 0.8675, + "step": 1170 + }, + { + "epoch": 0.51, + "learning_rate": 2.900112595009439e-06, + "loss": 0.9815, + "step": 1171 + }, + { + "epoch": 0.51, + "learning_rate": 2.8999280800518373e-06, + "loss": 1.0908, + "step": 1172 + }, + { + "epoch": 0.51, + "learning_rate": 2.89974340071148e-06, + "loss": 0.9196, + "step": 1173 + }, + { + "epoch": 0.51, + "learning_rate": 2.8995585570100527e-06, + "loss": 1.3169, + "step": 1174 + }, + { + "epoch": 0.51, + "learning_rate": 2.8993735489692597e-06, + "loss": 1.3139, + "step": 1175 + }, + { + "epoch": 0.51, + "learning_rate": 2.8991883766108254e-06, + "loss": 1.1849, + "step": 1176 + }, + { + "epoch": 0.51, + "learning_rate": 2.899003039956493e-06, + "loss": 0.9625, + "step": 1177 + }, + { + "epoch": 0.51, + "learning_rate": 2.8988175390280252e-06, + "loss": 1.1945, + "step": 1178 + }, + { + "epoch": 0.51, + "learning_rate": 2.898631873847204e-06, + "loss": 0.6556, + "step": 1179 + }, + { + "epoch": 0.51, + "learning_rate": 2.898446044435831e-06, + "loss": 1.1115, + "step": 1180 + }, + { + "epoch": 0.51, + "learning_rate": 2.8982600508157257e-06, + "loss": 0.9984, + "step": 1181 + }, + { + "epoch": 0.51, + "learning_rate": 2.8980738930087286e-06, + "loss": 0.7876, + "step": 1182 + }, + { + "epoch": 0.51, + "learning_rate": 2.8978875710366987e-06, + "loss": 0.7712, + "step": 1183 + }, + { + "epoch": 0.51, + "learning_rate": 2.8977010849215146e-06, + "loss": 0.8851, + "step": 1184 + }, + { + "epoch": 0.51, + "learning_rate": 2.8975144346850733e-06, + "loss": 0.7486, + "step": 1185 + }, + { + "epoch": 0.51, + "learning_rate": 2.8973276203492923e-06, + "loss": 0.6672, + "step": 1186 + }, + { + "epoch": 0.51, + "learning_rate": 2.8971406419361075e-06, + "loss": 1.02, + "step": 1187 + }, + { + "epoch": 0.51, + "learning_rate": 2.896953499467474e-06, + "loss": 0.6818, + "step": 1188 + }, + { + "epoch": 0.51, + "learning_rate": 2.896766192965367e-06, + "loss": 0.9379, + "step": 1189 + }, + { + "epoch": 0.51, + "learning_rate": 2.8965787224517803e-06, + "loss": 0.6417, + "step": 1190 + }, + { + "epoch": 0.51, + "learning_rate": 2.896391087948727e-06, + "loss": 1.23, + "step": 1191 + }, + { + "epoch": 0.51, + "learning_rate": 2.89620328947824e-06, + "loss": 1.0698, + "step": 1192 + }, + { + "epoch": 0.51, + "learning_rate": 2.8960153270623705e-06, + "loss": 1.0197, + "step": 1193 + }, + { + "epoch": 0.52, + "learning_rate": 2.89582720072319e-06, + "loss": 0.7748, + "step": 1194 + }, + { + "epoch": 0.52, + "learning_rate": 2.895638910482788e-06, + "loss": 0.7834, + "step": 1195 + }, + { + "epoch": 0.52, + "learning_rate": 2.8954504563632746e-06, + "loss": 0.9227, + "step": 1196 + }, + { + "epoch": 0.52, + "learning_rate": 2.895261838386778e-06, + "loss": 1.0536, + "step": 1197 + }, + { + "epoch": 0.52, + "learning_rate": 2.8950730565754468e-06, + "loss": 1.0397, + "step": 1198 + }, + { + "epoch": 0.52, + "learning_rate": 2.8948841109514473e-06, + "loss": 1.0011, + "step": 1199 + }, + { + "epoch": 0.52, + "learning_rate": 2.894695001536967e-06, + "loss": 0.7613, + "step": 1200 + }, + { + "epoch": 0.52, + "learning_rate": 2.8945057283542114e-06, + "loss": 0.6283, + "step": 1201 + }, + { + "epoch": 0.52, + "learning_rate": 2.8943162914254044e-06, + "loss": 0.9877, + "step": 1202 + }, + { + "epoch": 0.52, + "learning_rate": 2.894126690772791e-06, + "loss": 0.8313, + "step": 1203 + }, + { + "epoch": 0.52, + "learning_rate": 2.893936926418634e-06, + "loss": 0.6709, + "step": 1204 + }, + { + "epoch": 0.52, + "learning_rate": 2.8937469983852166e-06, + "loss": 0.652, + "step": 1205 + }, + { + "epoch": 0.52, + "learning_rate": 2.89355690669484e-06, + "loss": 1.0175, + "step": 1206 + }, + { + "epoch": 0.52, + "learning_rate": 2.8933666513698255e-06, + "loss": 0.6683, + "step": 1207 + }, + { + "epoch": 0.52, + "learning_rate": 2.893176232432513e-06, + "loss": 1.164, + "step": 1208 + }, + { + "epoch": 0.52, + "learning_rate": 2.8929856499052627e-06, + "loss": 0.8025, + "step": 1209 + }, + { + "epoch": 0.52, + "learning_rate": 2.892794903810452e-06, + "loss": 1.1844, + "step": 1210 + }, + { + "epoch": 0.52, + "learning_rate": 2.89260399417048e-06, + "loss": 0.9697, + "step": 1211 + }, + { + "epoch": 0.52, + "learning_rate": 2.892412921007763e-06, + "loss": 0.8668, + "step": 1212 + }, + { + "epoch": 0.52, + "learning_rate": 2.8922216843447377e-06, + "loss": 0.8056, + "step": 1213 + }, + { + "epoch": 0.52, + "learning_rate": 2.892030284203859e-06, + "loss": 1.3095, + "step": 1214 + }, + { + "epoch": 0.52, + "learning_rate": 2.891838720607602e-06, + "loss": 0.8904, + "step": 1215 + }, + { + "epoch": 0.52, + "learning_rate": 2.89164699357846e-06, + "loss": 0.6892, + "step": 1216 + }, + { + "epoch": 0.53, + "learning_rate": 2.891455103138947e-06, + "loss": 1.2712, + "step": 1217 + }, + { + "epoch": 0.53, + "learning_rate": 2.8912630493115945e-06, + "loss": 1.2733, + "step": 1218 + }, + { + "epoch": 0.53, + "learning_rate": 2.8910708321189537e-06, + "loss": 1.0814, + "step": 1219 + }, + { + "epoch": 0.53, + "learning_rate": 2.8908784515835955e-06, + "loss": 0.9849, + "step": 1220 + }, + { + "epoch": 0.53, + "learning_rate": 2.8906859077281095e-06, + "loss": 0.9462, + "step": 1221 + }, + { + "epoch": 0.53, + "learning_rate": 2.890493200575105e-06, + "loss": 1.0852, + "step": 1222 + }, + { + "epoch": 0.53, + "learning_rate": 2.89030033014721e-06, + "loss": 1.0688, + "step": 1223 + }, + { + "epoch": 0.53, + "learning_rate": 2.890107296467071e-06, + "loss": 0.8875, + "step": 1224 + }, + { + "epoch": 0.53, + "learning_rate": 2.8899140995573566e-06, + "loss": 1.0368, + "step": 1225 + }, + { + "epoch": 0.53, + "learning_rate": 2.8897207394407498e-06, + "loss": 0.9513, + "step": 1226 + }, + { + "epoch": 0.53, + "learning_rate": 2.889527216139957e-06, + "loss": 0.9748, + "step": 1227 + }, + { + "epoch": 0.53, + "learning_rate": 2.8893335296777017e-06, + "loss": 1.0107, + "step": 1228 + }, + { + "epoch": 0.53, + "learning_rate": 2.8891396800767267e-06, + "loss": 0.6807, + "step": 1229 + }, + { + "epoch": 0.53, + "learning_rate": 2.8889456673597948e-06, + "loss": 1.1789, + "step": 1230 + }, + { + "epoch": 0.53, + "learning_rate": 2.888751491549687e-06, + "loss": 1.3071, + "step": 1231 + }, + { + "epoch": 0.53, + "learning_rate": 2.8885571526692045e-06, + "loss": 1.0462, + "step": 1232 + }, + { + "epoch": 0.53, + "learning_rate": 2.8883626507411665e-06, + "loss": 0.7864, + "step": 1233 + }, + { + "epoch": 0.53, + "learning_rate": 2.888167985788412e-06, + "loss": 0.8989, + "step": 1234 + }, + { + "epoch": 0.53, + "learning_rate": 2.8879731578337985e-06, + "loss": 1.0803, + "step": 1235 + }, + { + "epoch": 0.53, + "learning_rate": 2.8877781669002036e-06, + "loss": 1.1229, + "step": 1236 + }, + { + "epoch": 0.53, + "learning_rate": 2.8875830130105237e-06, + "loss": 0.8333, + "step": 1237 + }, + { + "epoch": 0.53, + "learning_rate": 2.887387696187674e-06, + "loss": 1.3724, + "step": 1238 + }, + { + "epoch": 0.53, + "learning_rate": 2.8871922164545897e-06, + "loss": 1.4597, + "step": 1239 + }, + { + "epoch": 0.54, + "learning_rate": 2.8869965738342235e-06, + "loss": 1.0465, + "step": 1240 + }, + { + "epoch": 0.54, + "learning_rate": 2.8868007683495483e-06, + "loss": 0.8199, + "step": 1241 + }, + { + "epoch": 0.54, + "learning_rate": 2.8866048000235565e-06, + "loss": 1.1498, + "step": 1242 + }, + { + "epoch": 0.54, + "learning_rate": 2.8864086688792593e-06, + "loss": 1.4164, + "step": 1243 + }, + { + "epoch": 0.54, + "learning_rate": 2.8862123749396863e-06, + "loss": 0.6391, + "step": 1244 + }, + { + "epoch": 0.54, + "learning_rate": 2.886015918227887e-06, + "loss": 1.3452, + "step": 1245 + }, + { + "epoch": 0.54, + "learning_rate": 2.88581929876693e-06, + "loss": 0.9862, + "step": 1246 + }, + { + "epoch": 0.54, + "learning_rate": 2.8856225165799028e-06, + "loss": 1.04, + "step": 1247 + }, + { + "epoch": 0.54, + "learning_rate": 2.8854255716899118e-06, + "loss": 0.9922, + "step": 1248 + }, + { + "epoch": 0.54, + "learning_rate": 2.8852284641200824e-06, + "loss": 1.0557, + "step": 1249 + }, + { + "epoch": 0.54, + "learning_rate": 2.8850311938935603e-06, + "loss": 1.199, + "step": 1250 + }, + { + "epoch": 0.54, + "learning_rate": 2.884833761033508e-06, + "loss": 0.7847, + "step": 1251 + }, + { + "epoch": 0.54, + "learning_rate": 2.8846361655631106e-06, + "loss": 0.7972, + "step": 1252 + }, + { + "epoch": 0.54, + "learning_rate": 2.8844384075055685e-06, + "loss": 1.0405, + "step": 1253 + }, + { + "epoch": 0.54, + "learning_rate": 2.8842404868841033e-06, + "loss": 1.2016, + "step": 1254 + }, + { + "epoch": 0.54, + "learning_rate": 2.884042403721956e-06, + "loss": 0.722, + "step": 1255 + }, + { + "epoch": 0.54, + "learning_rate": 2.883844158042385e-06, + "loss": 1.1715, + "step": 1256 + }, + { + "epoch": 0.54, + "learning_rate": 2.883645749868669e-06, + "loss": 0.9869, + "step": 1257 + }, + { + "epoch": 0.54, + "learning_rate": 2.883447179224106e-06, + "loss": 0.8567, + "step": 1258 + }, + { + "epoch": 0.54, + "learning_rate": 2.883248446132012e-06, + "loss": 0.9001, + "step": 1259 + }, + { + "epoch": 0.54, + "learning_rate": 2.8830495506157236e-06, + "loss": 0.6941, + "step": 1260 + }, + { + "epoch": 0.54, + "learning_rate": 2.8828504926985946e-06, + "loss": 0.8824, + "step": 1261 + }, + { + "epoch": 0.54, + "learning_rate": 2.8826512724039994e-06, + "loss": 0.9862, + "step": 1262 + }, + { + "epoch": 0.55, + "learning_rate": 2.882451889755331e-06, + "loss": 1.0098, + "step": 1263 + }, + { + "epoch": 0.55, + "learning_rate": 2.8822523447760006e-06, + "loss": 1.2138, + "step": 1264 + }, + { + "epoch": 0.55, + "learning_rate": 2.88205263748944e-06, + "loss": 1.2082, + "step": 1265 + }, + { + "epoch": 0.55, + "learning_rate": 2.8818527679190987e-06, + "loss": 0.7295, + "step": 1266 + }, + { + "epoch": 0.55, + "learning_rate": 2.8816527360884467e-06, + "loss": 1.1502, + "step": 1267 + }, + { + "epoch": 0.55, + "learning_rate": 2.881452542020971e-06, + "loss": 1.5621, + "step": 1268 + }, + { + "epoch": 0.55, + "learning_rate": 2.8812521857401805e-06, + "loss": 1.3778, + "step": 1269 + }, + { + "epoch": 0.55, + "learning_rate": 2.881051667269599e-06, + "loss": 1.1541, + "step": 1270 + }, + { + "epoch": 0.55, + "learning_rate": 2.880850986632775e-06, + "loss": 1.119, + "step": 1271 + }, + { + "epoch": 0.55, + "learning_rate": 2.8806501438532704e-06, + "loss": 1.3808, + "step": 1272 + }, + { + "epoch": 0.55, + "learning_rate": 2.8804491389546694e-06, + "loss": 0.6305, + "step": 1273 + }, + { + "epoch": 0.55, + "learning_rate": 2.8802479719605744e-06, + "loss": 1.0649, + "step": 1274 + }, + { + "epoch": 0.55, + "learning_rate": 2.880046642894607e-06, + "loss": 0.8037, + "step": 1275 + }, + { + "epoch": 0.55, + "learning_rate": 2.879845151780408e-06, + "loss": 0.9648, + "step": 1276 + }, + { + "epoch": 0.55, + "learning_rate": 2.879643498641636e-06, + "loss": 1.1234, + "step": 1277 + }, + { + "epoch": 0.55, + "learning_rate": 2.879441683501971e-06, + "loss": 0.8318, + "step": 1278 + }, + { + "epoch": 0.55, + "learning_rate": 2.879239706385109e-06, + "loss": 1.0203, + "step": 1279 + }, + { + "epoch": 0.55, + "learning_rate": 2.8790375673147683e-06, + "loss": 1.0568, + "step": 1280 + }, + { + "epoch": 0.55, + "learning_rate": 2.8788352663146834e-06, + "loss": 0.954, + "step": 1281 + }, + { + "epoch": 0.55, + "learning_rate": 2.878632803408609e-06, + "loss": 1.2038, + "step": 1282 + }, + { + "epoch": 0.55, + "learning_rate": 2.878430178620319e-06, + "loss": 0.9098, + "step": 1283 + }, + { + "epoch": 0.55, + "learning_rate": 2.8782273919736057e-06, + "loss": 0.8451, + "step": 1284 + }, + { + "epoch": 0.55, + "learning_rate": 2.8780244434922816e-06, + "loss": 1.1456, + "step": 1285 + }, + { + "epoch": 0.56, + "learning_rate": 2.8778213332001767e-06, + "loss": 0.9952, + "step": 1286 + }, + { + "epoch": 0.56, + "learning_rate": 2.877618061121141e-06, + "loss": 1.0445, + "step": 1287 + }, + { + "epoch": 0.56, + "learning_rate": 2.8774146272790423e-06, + "loss": 0.9341, + "step": 1288 + }, + { + "epoch": 0.56, + "learning_rate": 2.8772110316977697e-06, + "loss": 1.2445, + "step": 1289 + }, + { + "epoch": 0.56, + "learning_rate": 2.877007274401229e-06, + "loss": 1.2265, + "step": 1290 + }, + { + "epoch": 0.56, + "learning_rate": 2.8768033554133463e-06, + "loss": 0.971, + "step": 1291 + }, + { + "epoch": 0.56, + "learning_rate": 2.876599274758065e-06, + "loss": 0.9309, + "step": 1292 + }, + { + "epoch": 0.56, + "learning_rate": 2.87639503245935e-06, + "loss": 0.856, + "step": 1293 + }, + { + "epoch": 0.56, + "learning_rate": 2.876190628541184e-06, + "loss": 0.9755, + "step": 1294 + }, + { + "epoch": 0.56, + "learning_rate": 2.8759860630275684e-06, + "loss": 1.1926, + "step": 1295 + }, + { + "epoch": 0.56, + "learning_rate": 2.8757813359425226e-06, + "loss": 0.7647, + "step": 1296 + }, + { + "epoch": 0.56, + "learning_rate": 2.8755764473100876e-06, + "loss": 1.0114, + "step": 1297 + }, + { + "epoch": 0.56, + "learning_rate": 2.8753713971543204e-06, + "loss": 0.9405, + "step": 1298 + }, + { + "epoch": 0.56, + "learning_rate": 2.8751661854993e-06, + "loss": 0.6947, + "step": 1299 + }, + { + "epoch": 0.56, + "learning_rate": 2.8749608123691223e-06, + "loss": 0.8775, + "step": 1300 + }, + { + "epoch": 0.56, + "learning_rate": 2.8747552777879023e-06, + "loss": 1.066, + "step": 1301 + }, + { + "epoch": 0.56, + "learning_rate": 2.8745495817797747e-06, + "loss": 1.1364, + "step": 1302 + }, + { + "epoch": 0.56, + "learning_rate": 2.8743437243688925e-06, + "loss": 1.0033, + "step": 1303 + }, + { + "epoch": 0.56, + "learning_rate": 2.874137705579428e-06, + "loss": 0.9826, + "step": 1304 + }, + { + "epoch": 0.56, + "learning_rate": 2.8739315254355727e-06, + "loss": 0.8425, + "step": 1305 + }, + { + "epoch": 0.56, + "learning_rate": 2.8737251839615366e-06, + "loss": 0.7282, + "step": 1306 + }, + { + "epoch": 0.56, + "learning_rate": 2.8735186811815492e-06, + "loss": 1.0768, + "step": 1307 + }, + { + "epoch": 0.56, + "learning_rate": 2.8733120171198572e-06, + "loss": 0.8397, + "step": 1308 + }, + { + "epoch": 0.56, + "learning_rate": 2.8731051918007286e-06, + "loss": 0.8264, + "step": 1309 + }, + { + "epoch": 0.57, + "learning_rate": 2.8728982052484502e-06, + "loss": 0.9964, + "step": 1310 + }, + { + "epoch": 0.57, + "learning_rate": 2.8726910574873244e-06, + "loss": 1.0444, + "step": 1311 + }, + { + "epoch": 0.57, + "learning_rate": 2.872483748541677e-06, + "loss": 0.7449, + "step": 1312 + }, + { + "epoch": 0.57, + "learning_rate": 2.87227627843585e-06, + "loss": 1.0238, + "step": 1313 + }, + { + "epoch": 0.57, + "learning_rate": 2.872068647194205e-06, + "loss": 1.1267, + "step": 1314 + }, + { + "epoch": 0.57, + "learning_rate": 2.871860854841123e-06, + "loss": 1.0272, + "step": 1315 + }, + { + "epoch": 0.57, + "learning_rate": 2.8716529014010024e-06, + "loss": 0.7685, + "step": 1316 + }, + { + "epoch": 0.57, + "learning_rate": 2.871444786898262e-06, + "loss": 0.9681, + "step": 1317 + }, + { + "epoch": 0.57, + "learning_rate": 2.87123651135734e-06, + "loss": 0.5305, + "step": 1318 + }, + { + "epoch": 0.57, + "learning_rate": 2.8710280748026917e-06, + "loss": 0.8744, + "step": 1319 + }, + { + "epoch": 0.57, + "learning_rate": 2.8708194772587926e-06, + "loss": 0.9501, + "step": 1320 + }, + { + "epoch": 0.57, + "learning_rate": 2.870610718750136e-06, + "loss": 0.7043, + "step": 1321 + }, + { + "epoch": 0.57, + "learning_rate": 2.8704017993012358e-06, + "loss": 0.9231, + "step": 1322 + }, + { + "epoch": 0.57, + "learning_rate": 2.870192718936623e-06, + "loss": 0.8569, + "step": 1323 + }, + { + "epoch": 0.57, + "learning_rate": 2.869983477680848e-06, + "loss": 1.1905, + "step": 1324 + }, + { + "epoch": 0.57, + "learning_rate": 2.8697740755584816e-06, + "loss": 0.9734, + "step": 1325 + }, + { + "epoch": 0.57, + "learning_rate": 2.8695645125941115e-06, + "loss": 1.1233, + "step": 1326 + }, + { + "epoch": 0.57, + "learning_rate": 2.869354788812345e-06, + "loss": 0.9231, + "step": 1327 + }, + { + "epoch": 0.57, + "learning_rate": 2.8691449042378088e-06, + "loss": 1.0363, + "step": 1328 + }, + { + "epoch": 0.57, + "learning_rate": 2.868934858895148e-06, + "loss": 0.8991, + "step": 1329 + }, + { + "epoch": 0.57, + "learning_rate": 2.868724652809026e-06, + "loss": 1.068, + "step": 1330 + }, + { + "epoch": 0.57, + "learning_rate": 2.8685142860041264e-06, + "loss": 1.0249, + "step": 1331 + }, + { + "epoch": 0.57, + "learning_rate": 2.86830375850515e-06, + "loss": 1.4233, + "step": 1332 + }, + { + "epoch": 0.58, + "learning_rate": 2.868093070336818e-06, + "loss": 0.7852, + "step": 1333 + }, + { + "epoch": 0.58, + "learning_rate": 2.8678822215238707e-06, + "loss": 0.9044, + "step": 1334 + }, + { + "epoch": 0.58, + "learning_rate": 2.867671212091065e-06, + "loss": 1.2712, + "step": 1335 + }, + { + "epoch": 0.58, + "learning_rate": 2.8674600420631795e-06, + "loss": 1.0156, + "step": 1336 + }, + { + "epoch": 0.58, + "learning_rate": 2.867248711465009e-06, + "loss": 0.8303, + "step": 1337 + }, + { + "epoch": 0.58, + "learning_rate": 2.8670372203213687e-06, + "loss": 0.9628, + "step": 1338 + }, + { + "epoch": 0.58, + "learning_rate": 2.866825568657093e-06, + "loss": 0.9611, + "step": 1339 + }, + { + "epoch": 0.58, + "learning_rate": 2.8666137564970344e-06, + "loss": 0.8304, + "step": 1340 + }, + { + "epoch": 0.58, + "learning_rate": 2.8664017838660637e-06, + "loss": 1.3079, + "step": 1341 + }, + { + "epoch": 0.58, + "learning_rate": 2.8661896507890715e-06, + "loss": 0.6073, + "step": 1342 + }, + { + "epoch": 0.58, + "learning_rate": 2.8659773572909673e-06, + "loss": 1.2698, + "step": 1343 + }, + { + "epoch": 0.58, + "learning_rate": 2.865764903396679e-06, + "loss": 0.9982, + "step": 1344 + }, + { + "epoch": 0.58, + "learning_rate": 2.865552289131153e-06, + "loss": 0.9936, + "step": 1345 + }, + { + "epoch": 0.58, + "learning_rate": 2.8653395145193556e-06, + "loss": 1.1147, + "step": 1346 + }, + { + "epoch": 0.58, + "learning_rate": 2.8651265795862707e-06, + "loss": 0.9309, + "step": 1347 + }, + { + "epoch": 0.58, + "learning_rate": 2.864913484356902e-06, + "loss": 1.383, + "step": 1348 + }, + { + "epoch": 0.58, + "learning_rate": 2.8647002288562714e-06, + "loss": 0.8988, + "step": 1349 + }, + { + "epoch": 0.58, + "learning_rate": 2.86448681310942e-06, + "loss": 0.98, + "step": 1350 + }, + { + "epoch": 0.58, + "learning_rate": 2.864273237141407e-06, + "loss": 0.87, + "step": 1351 + }, + { + "epoch": 0.58, + "learning_rate": 2.8640595009773124e-06, + "loss": 0.9079, + "step": 1352 + }, + { + "epoch": 0.58, + "learning_rate": 2.8638456046422317e-06, + "loss": 1.0663, + "step": 1353 + }, + { + "epoch": 0.58, + "learning_rate": 2.8636315481612824e-06, + "loss": 1.1011, + "step": 1354 + }, + { + "epoch": 0.58, + "learning_rate": 2.8634173315595994e-06, + "loss": 1.0382, + "step": 1355 + }, + { + "epoch": 0.59, + "learning_rate": 2.863202954862336e-06, + "loss": 0.9427, + "step": 1356 + }, + { + "epoch": 0.59, + "learning_rate": 2.862988418094665e-06, + "loss": 1.1291, + "step": 1357 + }, + { + "epoch": 0.59, + "learning_rate": 2.8627737212817776e-06, + "loss": 1.2597, + "step": 1358 + }, + { + "epoch": 0.59, + "learning_rate": 2.8625588644488845e-06, + "loss": 1.3439, + "step": 1359 + }, + { + "epoch": 0.59, + "learning_rate": 2.8623438476212144e-06, + "loss": 1.084, + "step": 1360 + }, + { + "epoch": 0.59, + "learning_rate": 2.8621286708240154e-06, + "loss": 1.1777, + "step": 1361 + }, + { + "epoch": 0.59, + "learning_rate": 2.8619133340825535e-06, + "loss": 0.8326, + "step": 1362 + }, + { + "epoch": 0.59, + "learning_rate": 2.8616978374221144e-06, + "loss": 0.7669, + "step": 1363 + }, + { + "epoch": 0.59, + "learning_rate": 2.861482180868002e-06, + "loss": 0.8352, + "step": 1364 + }, + { + "epoch": 0.59, + "learning_rate": 2.861266364445539e-06, + "loss": 0.9821, + "step": 1365 + }, + { + "epoch": 0.59, + "learning_rate": 2.8610503881800674e-06, + "loss": 0.9366, + "step": 1366 + }, + { + "epoch": 0.59, + "learning_rate": 2.860834252096948e-06, + "loss": 0.9139, + "step": 1367 + }, + { + "epoch": 0.59, + "learning_rate": 2.860617956221559e-06, + "loss": 1.1078, + "step": 1368 + }, + { + "epoch": 0.59, + "learning_rate": 2.860401500579299e-06, + "loss": 0.8547, + "step": 1369 + }, + { + "epoch": 0.59, + "learning_rate": 2.860184885195585e-06, + "loss": 1.1325, + "step": 1370 + }, + { + "epoch": 0.59, + "learning_rate": 2.859968110095852e-06, + "loss": 0.9406, + "step": 1371 + }, + { + "epoch": 0.59, + "learning_rate": 2.8597511753055537e-06, + "loss": 0.7187, + "step": 1372 + }, + { + "epoch": 0.59, + "learning_rate": 2.8595340808501643e-06, + "loss": 1.2668, + "step": 1373 + }, + { + "epoch": 0.59, + "learning_rate": 2.859316826755175e-06, + "loss": 1.1281, + "step": 1374 + }, + { + "epoch": 0.59, + "learning_rate": 2.8590994130460953e-06, + "loss": 0.9823, + "step": 1375 + }, + { + "epoch": 0.59, + "learning_rate": 2.8588818397484562e-06, + "loss": 1.3906, + "step": 1376 + }, + { + "epoch": 0.59, + "learning_rate": 2.8586641068878047e-06, + "loss": 1.1821, + "step": 1377 + }, + { + "epoch": 0.59, + "learning_rate": 2.8584462144897076e-06, + "loss": 0.7809, + "step": 1378 + }, + { + "epoch": 0.6, + "learning_rate": 2.85822816257975e-06, + "loss": 0.9761, + "step": 1379 + }, + { + "epoch": 0.6, + "learning_rate": 2.858009951183536e-06, + "loss": 0.7976, + "step": 1380 + }, + { + "epoch": 0.6, + "learning_rate": 2.857791580326689e-06, + "loss": 1.0952, + "step": 1381 + }, + { + "epoch": 0.6, + "learning_rate": 2.857573050034851e-06, + "loss": 1.0203, + "step": 1382 + }, + { + "epoch": 0.6, + "learning_rate": 2.8573543603336814e-06, + "loss": 0.7621, + "step": 1383 + }, + { + "epoch": 0.6, + "learning_rate": 2.8571355112488594e-06, + "loss": 0.853, + "step": 1384 + }, + { + "epoch": 0.6, + "learning_rate": 2.8569165028060836e-06, + "loss": 0.7916, + "step": 1385 + }, + { + "epoch": 0.6, + "learning_rate": 2.856697335031069e-06, + "loss": 0.7838, + "step": 1386 + }, + { + "epoch": 0.6, + "learning_rate": 2.856478007949552e-06, + "loss": 0.9742, + "step": 1387 + }, + { + "epoch": 0.6, + "learning_rate": 2.856258521587286e-06, + "loss": 0.7081, + "step": 1388 + }, + { + "epoch": 0.6, + "learning_rate": 2.8560388759700437e-06, + "loss": 0.6295, + "step": 1389 + }, + { + "epoch": 0.6, + "learning_rate": 2.8558190711236165e-06, + "loss": 0.846, + "step": 1390 + }, + { + "epoch": 0.6, + "learning_rate": 2.855599107073814e-06, + "loss": 0.8066, + "step": 1391 + }, + { + "epoch": 0.6, + "learning_rate": 2.8553789838464653e-06, + "loss": 0.8413, + "step": 1392 + }, + { + "epoch": 0.6, + "learning_rate": 2.8551587014674176e-06, + "loss": 1.0046, + "step": 1393 + }, + { + "epoch": 0.6, + "learning_rate": 2.854938259962537e-06, + "loss": 1.2745, + "step": 1394 + }, + { + "epoch": 0.6, + "learning_rate": 2.854717659357708e-06, + "loss": 1.1488, + "step": 1395 + }, + { + "epoch": 0.6, + "learning_rate": 2.8544968996788345e-06, + "loss": 1.078, + "step": 1396 + }, + { + "epoch": 0.6, + "learning_rate": 2.8542759809518385e-06, + "loss": 1.3938, + "step": 1397 + }, + { + "epoch": 0.6, + "learning_rate": 2.8540549032026606e-06, + "loss": 1.2644, + "step": 1398 + }, + { + "epoch": 0.6, + "learning_rate": 2.8538336664572598e-06, + "loss": 1.4649, + "step": 1399 + }, + { + "epoch": 0.6, + "learning_rate": 2.853612270741615e-06, + "loss": 1.1606, + "step": 1400 + }, + { + "epoch": 0.6, + "learning_rate": 2.853390716081723e-06, + "loss": 1.3306, + "step": 1401 + }, + { + "epoch": 0.61, + "learning_rate": 2.8531690025035984e-06, + "loss": 0.9533, + "step": 1402 + }, + { + "epoch": 0.61, + "learning_rate": 2.8529471300332764e-06, + "loss": 0.8077, + "step": 1403 + }, + { + "epoch": 0.61, + "learning_rate": 2.8527250986968087e-06, + "loss": 1.0382, + "step": 1404 + }, + { + "epoch": 0.61, + "learning_rate": 2.8525029085202677e-06, + "loss": 1.0954, + "step": 1405 + }, + { + "epoch": 0.61, + "learning_rate": 2.852280559529743e-06, + "loss": 0.8784, + "step": 1406 + }, + { + "epoch": 0.61, + "learning_rate": 2.852058051751343e-06, + "loss": 1.1747, + "step": 1407 + }, + { + "epoch": 0.61, + "learning_rate": 2.851835385211196e-06, + "loss": 1.0972, + "step": 1408 + }, + { + "epoch": 0.61, + "learning_rate": 2.8516125599354474e-06, + "loss": 1.0045, + "step": 1409 + }, + { + "epoch": 0.61, + "learning_rate": 2.8513895759502616e-06, + "loss": 1.193, + "step": 1410 + }, + { + "epoch": 0.61, + "learning_rate": 2.8511664332818223e-06, + "loss": 1.1646, + "step": 1411 + }, + { + "epoch": 0.61, + "learning_rate": 2.850943131956332e-06, + "loss": 0.7612, + "step": 1412 + }, + { + "epoch": 0.61, + "learning_rate": 2.8507196720000096e-06, + "loss": 0.7672, + "step": 1413 + }, + { + "epoch": 0.61, + "learning_rate": 2.8504960534390956e-06, + "loss": 0.836, + "step": 1414 + }, + { + "epoch": 0.61, + "learning_rate": 2.8502722762998474e-06, + "loss": 0.964, + "step": 1415 + }, + { + "epoch": 0.61, + "learning_rate": 2.8500483406085418e-06, + "loss": 0.9028, + "step": 1416 + }, + { + "epoch": 0.61, + "learning_rate": 2.849824246391473e-06, + "loss": 0.8188, + "step": 1417 + }, + { + "epoch": 0.61, + "learning_rate": 2.8495999936749553e-06, + "loss": 0.8371, + "step": 1418 + }, + { + "epoch": 0.61, + "learning_rate": 2.8493755824853214e-06, + "loss": 1.5862, + "step": 1419 + }, + { + "epoch": 0.61, + "learning_rate": 2.849151012848921e-06, + "loss": 0.9196, + "step": 1420 + }, + { + "epoch": 0.61, + "learning_rate": 2.848926284792125e-06, + "loss": 0.8783, + "step": 1421 + }, + { + "epoch": 0.61, + "learning_rate": 2.84870139834132e-06, + "loss": 0.7698, + "step": 1422 + }, + { + "epoch": 0.61, + "learning_rate": 2.8484763535229137e-06, + "loss": 1.1716, + "step": 1423 + }, + { + "epoch": 0.61, + "learning_rate": 2.848251150363331e-06, + "loss": 1.1575, + "step": 1424 + }, + { + "epoch": 0.62, + "learning_rate": 2.8480257888890153e-06, + "loss": 1.1282, + "step": 1425 + }, + { + "epoch": 0.62, + "learning_rate": 2.84780026912643e-06, + "loss": 0.8266, + "step": 1426 + }, + { + "epoch": 0.62, + "learning_rate": 2.847574591102056e-06, + "loss": 0.6357, + "step": 1427 + }, + { + "epoch": 0.62, + "learning_rate": 2.8473487548423923e-06, + "loss": 0.8049, + "step": 1428 + }, + { + "epoch": 0.62, + "learning_rate": 2.8471227603739576e-06, + "loss": 1.2364, + "step": 1429 + }, + { + "epoch": 0.62, + "learning_rate": 2.846896607723288e-06, + "loss": 0.9172, + "step": 1430 + }, + { + "epoch": 0.62, + "learning_rate": 2.8466702969169403e-06, + "loss": 0.7338, + "step": 1431 + }, + { + "epoch": 0.62, + "learning_rate": 2.846443827981487e-06, + "loss": 1.0989, + "step": 1432 + }, + { + "epoch": 0.62, + "learning_rate": 2.846217200943521e-06, + "loss": 1.1736, + "step": 1433 + }, + { + "epoch": 0.62, + "learning_rate": 2.8459904158296544e-06, + "loss": 1.0712, + "step": 1434 + }, + { + "epoch": 0.62, + "learning_rate": 2.845763472666515e-06, + "loss": 1.0882, + "step": 1435 + }, + { + "epoch": 0.62, + "learning_rate": 2.845536371480752e-06, + "loss": 1.0729, + "step": 1436 + }, + { + "epoch": 0.62, + "learning_rate": 2.8453091122990324e-06, + "loss": 1.0537, + "step": 1437 + }, + { + "epoch": 0.62, + "learning_rate": 2.845081695148041e-06, + "loss": 0.8953, + "step": 1438 + }, + { + "epoch": 0.62, + "learning_rate": 2.8448541200544817e-06, + "loss": 1.2555, + "step": 1439 + }, + { + "epoch": 0.62, + "learning_rate": 2.8446263870450773e-06, + "loss": 1.1132, + "step": 1440 + }, + { + "epoch": 0.62, + "learning_rate": 2.8443984961465683e-06, + "loss": 0.9217, + "step": 1441 + }, + { + "epoch": 0.62, + "learning_rate": 2.844170447385714e-06, + "loss": 0.9865, + "step": 1442 + }, + { + "epoch": 0.62, + "learning_rate": 2.843942240789293e-06, + "loss": 1.1243, + "step": 1443 + }, + { + "epoch": 0.62, + "learning_rate": 2.843713876384102e-06, + "loss": 1.0678, + "step": 1444 + }, + { + "epoch": 0.62, + "learning_rate": 2.8434853541969546e-06, + "loss": 0.9748, + "step": 1445 + }, + { + "epoch": 0.62, + "learning_rate": 2.843256674254686e-06, + "loss": 1.0298, + "step": 1446 + }, + { + "epoch": 0.62, + "learning_rate": 2.8430278365841473e-06, + "loss": 0.9752, + "step": 1447 + }, + { + "epoch": 0.62, + "learning_rate": 2.84279884121221e-06, + "loss": 1.1187, + "step": 1448 + }, + { + "epoch": 0.63, + "learning_rate": 2.842569688165763e-06, + "loss": 1.3254, + "step": 1449 + }, + { + "epoch": 0.63, + "learning_rate": 2.8423403774717128e-06, + "loss": 1.0475, + "step": 1450 + }, + { + "epoch": 0.63, + "learning_rate": 2.8421109091569878e-06, + "loss": 5.8068, + "step": 1451 + }, + { + "epoch": 0.63, + "learning_rate": 2.8418812832485307e-06, + "loss": 1.097, + "step": 1452 + }, + { + "epoch": 0.63, + "learning_rate": 2.8416514997733053e-06, + "loss": 0.6675, + "step": 1453 + }, + { + "epoch": 0.63, + "learning_rate": 2.841421558758294e-06, + "loss": 0.8556, + "step": 1454 + }, + { + "epoch": 0.63, + "learning_rate": 2.8411914602304967e-06, + "loss": 0.8473, + "step": 1455 + }, + { + "epoch": 0.63, + "learning_rate": 2.8409612042169314e-06, + "loss": 0.9964, + "step": 1456 + }, + { + "epoch": 0.63, + "learning_rate": 2.8407307907446354e-06, + "loss": 1.0028, + "step": 1457 + }, + { + "epoch": 0.63, + "learning_rate": 2.840500219840665e-06, + "loss": 0.6862, + "step": 1458 + }, + { + "epoch": 0.63, + "learning_rate": 2.840269491532095e-06, + "loss": 1.2108, + "step": 1459 + }, + { + "epoch": 0.63, + "learning_rate": 2.840038605846016e-06, + "loss": 1.1008, + "step": 1460 + }, + { + "epoch": 0.63, + "learning_rate": 2.839807562809541e-06, + "loss": 1.3761, + "step": 1461 + }, + { + "epoch": 0.63, + "learning_rate": 2.8395763624497985e-06, + "loss": 1.2219, + "step": 1462 + }, + { + "epoch": 0.63, + "learning_rate": 2.839345004793937e-06, + "loss": 1.2252, + "step": 1463 + }, + { + "epoch": 0.63, + "learning_rate": 2.839113489869123e-06, + "loss": 0.7466, + "step": 1464 + }, + { + "epoch": 0.63, + "learning_rate": 2.8388818177025415e-06, + "loss": 0.83, + "step": 1465 + }, + { + "epoch": 0.63, + "learning_rate": 2.838649988321396e-06, + "loss": 1.0158, + "step": 1466 + }, + { + "epoch": 0.63, + "learning_rate": 2.8384180017529087e-06, + "loss": 0.982, + "step": 1467 + }, + { + "epoch": 0.63, + "learning_rate": 2.8381858580243195e-06, + "loss": 0.8162, + "step": 1468 + }, + { + "epoch": 0.63, + "learning_rate": 2.837953557162887e-06, + "loss": 0.9714, + "step": 1469 + }, + { + "epoch": 0.63, + "learning_rate": 2.8377210991958894e-06, + "loss": 0.9446, + "step": 1470 + }, + { + "epoch": 0.63, + "learning_rate": 2.837488484150622e-06, + "loss": 1.1125, + "step": 1471 + }, + { + "epoch": 0.64, + "learning_rate": 2.8372557120543988e-06, + "loss": 0.8445, + "step": 1472 + }, + { + "epoch": 0.64, + "learning_rate": 2.837022782934553e-06, + "loss": 0.9898, + "step": 1473 + }, + { + "epoch": 0.64, + "learning_rate": 2.836789696818435e-06, + "loss": 1.2115, + "step": 1474 + }, + { + "epoch": 0.64, + "learning_rate": 2.8365564537334145e-06, + "loss": 1.0549, + "step": 1475 + }, + { + "epoch": 0.64, + "learning_rate": 2.8363230537068794e-06, + "loss": 0.6008, + "step": 1476 + }, + { + "epoch": 0.64, + "learning_rate": 2.836089496766237e-06, + "loss": 0.8543, + "step": 1477 + }, + { + "epoch": 0.64, + "learning_rate": 2.8358557829389103e-06, + "loss": 0.8156, + "step": 1478 + }, + { + "epoch": 0.64, + "learning_rate": 2.835621912252344e-06, + "loss": 0.9438, + "step": 1479 + }, + { + "epoch": 0.64, + "learning_rate": 2.835387884733999e-06, + "loss": 0.9066, + "step": 1480 + }, + { + "epoch": 0.64, + "learning_rate": 2.8351537004113558e-06, + "loss": 1.0932, + "step": 1481 + }, + { + "epoch": 0.64, + "learning_rate": 2.8349193593119125e-06, + "loss": 0.976, + "step": 1482 + }, + { + "epoch": 0.64, + "learning_rate": 2.834684861463186e-06, + "loss": 1.1006, + "step": 1483 + }, + { + "epoch": 0.64, + "learning_rate": 2.8344502068927123e-06, + "loss": 1.1035, + "step": 1484 + }, + { + "epoch": 0.64, + "learning_rate": 2.834215395628044e-06, + "loss": 0.7535, + "step": 1485 + }, + { + "epoch": 0.64, + "learning_rate": 2.8339804276967538e-06, + "loss": 0.9751, + "step": 1486 + }, + { + "epoch": 0.64, + "learning_rate": 2.8337453031264313e-06, + "loss": 1.0613, + "step": 1487 + }, + { + "epoch": 0.64, + "learning_rate": 2.833510021944687e-06, + "loss": 0.8478, + "step": 1488 + }, + { + "epoch": 0.64, + "learning_rate": 2.8332745841791464e-06, + "loss": 0.825, + "step": 1489 + }, + { + "epoch": 0.64, + "learning_rate": 2.8330389898574566e-06, + "loss": 1.2027, + "step": 1490 + }, + { + "epoch": 0.64, + "learning_rate": 2.832803239007281e-06, + "loss": 1.0121, + "step": 1491 + }, + { + "epoch": 0.64, + "learning_rate": 2.832567331656302e-06, + "loss": 0.8381, + "step": 1492 + }, + { + "epoch": 0.64, + "learning_rate": 2.8323312678322196e-06, + "loss": 1.1024, + "step": 1493 + }, + { + "epoch": 0.64, + "learning_rate": 2.832095047562754e-06, + "loss": 0.9515, + "step": 1494 + }, + { + "epoch": 0.65, + "learning_rate": 2.831858670875643e-06, + "loss": 1.2391, + "step": 1495 + }, + { + "epoch": 0.65, + "learning_rate": 2.8316221377986414e-06, + "loss": 0.6622, + "step": 1496 + }, + { + "epoch": 0.65, + "learning_rate": 2.8313854483595242e-06, + "loss": 0.7804, + "step": 1497 + }, + { + "epoch": 0.65, + "learning_rate": 2.831148602586084e-06, + "loss": 0.7682, + "step": 1498 + }, + { + "epoch": 0.65, + "learning_rate": 2.830911600506131e-06, + "loss": 1.16, + "step": 1499 + }, + { + "epoch": 0.65, + "learning_rate": 2.8306744421474956e-06, + "loss": 1.3063, + "step": 1500 + }, + { + "epoch": 0.65, + "learning_rate": 2.830437127538025e-06, + "loss": 0.8106, + "step": 1501 + }, + { + "epoch": 0.65, + "learning_rate": 2.830199656705585e-06, + "loss": 0.9242, + "step": 1502 + }, + { + "epoch": 0.65, + "learning_rate": 2.8299620296780603e-06, + "loss": 1.0045, + "step": 1503 + }, + { + "epoch": 0.65, + "learning_rate": 2.8297242464833533e-06, + "loss": 0.9316, + "step": 1504 + }, + { + "epoch": 0.65, + "learning_rate": 2.8294863071493854e-06, + "loss": 1.0499, + "step": 1505 + }, + { + "epoch": 0.65, + "learning_rate": 2.8292482117040957e-06, + "loss": 1.2331, + "step": 1506 + }, + { + "epoch": 0.65, + "learning_rate": 2.829009960175442e-06, + "loss": 0.9895, + "step": 1507 + }, + { + "epoch": 0.65, + "learning_rate": 2.8287715525914e-06, + "loss": 4.3708, + "step": 1508 + }, + { + "epoch": 0.65, + "learning_rate": 2.8285329889799654e-06, + "loss": 3.997, + "step": 1509 + }, + { + "epoch": 0.65, + "learning_rate": 2.828294269369149e-06, + "loss": 1.1453, + "step": 1510 + }, + { + "epoch": 0.65, + "learning_rate": 2.828055393786983e-06, + "loss": 0.8472, + "step": 1511 + }, + { + "epoch": 0.65, + "learning_rate": 2.827816362261517e-06, + "loss": 1.2101, + "step": 1512 + }, + { + "epoch": 0.65, + "learning_rate": 2.827577174820817e-06, + "loss": 0.7871, + "step": 1513 + }, + { + "epoch": 0.65, + "learning_rate": 2.8273378314929708e-06, + "loss": 0.8492, + "step": 1514 + }, + { + "epoch": 0.65, + "learning_rate": 2.8270983323060816e-06, + "loss": 1.0352, + "step": 1515 + }, + { + "epoch": 0.65, + "learning_rate": 2.826858677288272e-06, + "loss": 0.91, + "step": 1516 + }, + { + "epoch": 0.65, + "learning_rate": 2.826618866467683e-06, + "loss": 0.8147, + "step": 1517 + }, + { + "epoch": 0.66, + "learning_rate": 2.826378899872474e-06, + "loss": 1.5598, + "step": 1518 + }, + { + "epoch": 0.66, + "learning_rate": 2.8261387775308223e-06, + "loss": 0.9277, + "step": 1519 + }, + { + "epoch": 0.66, + "learning_rate": 2.825898499470923e-06, + "loss": 1.0618, + "step": 1520 + }, + { + "epoch": 0.66, + "learning_rate": 2.8256580657209908e-06, + "loss": 1.108, + "step": 1521 + }, + { + "epoch": 0.66, + "learning_rate": 2.825417476309258e-06, + "loss": 0.7319, + "step": 1522 + }, + { + "epoch": 0.66, + "learning_rate": 2.8251767312639745e-06, + "loss": 1.0143, + "step": 1523 + }, + { + "epoch": 0.66, + "learning_rate": 2.82493583061341e-06, + "loss": 1.1462, + "step": 1524 + }, + { + "epoch": 0.66, + "learning_rate": 2.824694774385851e-06, + "loss": 1.1857, + "step": 1525 + }, + { + "epoch": 0.66, + "learning_rate": 2.824453562609603e-06, + "loss": 1.1915, + "step": 1526 + }, + { + "epoch": 0.66, + "learning_rate": 2.8242121953129896e-06, + "loss": 1.0094, + "step": 1527 + }, + { + "epoch": 0.66, + "learning_rate": 2.8239706725243527e-06, + "loss": 1.1081, + "step": 1528 + }, + { + "epoch": 0.66, + "learning_rate": 2.8237289942720527e-06, + "loss": 1.0034, + "step": 1529 + }, + { + "epoch": 0.66, + "learning_rate": 2.823487160584468e-06, + "loss": 0.9318, + "step": 1530 + }, + { + "epoch": 0.66, + "learning_rate": 2.8232451714899946e-06, + "loss": 1.073, + "step": 1531 + }, + { + "epoch": 0.66, + "learning_rate": 2.8230030270170486e-06, + "loss": 0.8153, + "step": 1532 + }, + { + "epoch": 0.66, + "learning_rate": 2.8227607271940623e-06, + "loss": 0.8888, + "step": 1533 + }, + { + "epoch": 0.66, + "learning_rate": 2.822518272049487e-06, + "loss": 0.8465, + "step": 1534 + }, + { + "epoch": 0.66, + "learning_rate": 2.822275661611793e-06, + "loss": 0.9778, + "step": 1535 + }, + { + "epoch": 0.66, + "learning_rate": 2.8220328959094676e-06, + "loss": 1.1103, + "step": 1536 + }, + { + "epoch": 0.66, + "learning_rate": 2.8217899749710166e-06, + "loss": 0.8398, + "step": 1537 + }, + { + "epoch": 0.66, + "learning_rate": 2.8215468988249653e-06, + "loss": 0.7427, + "step": 1538 + }, + { + "epoch": 0.66, + "learning_rate": 2.821303667499856e-06, + "loss": 1.1008, + "step": 1539 + }, + { + "epoch": 0.66, + "learning_rate": 2.8210602810242486e-06, + "loss": 0.7864, + "step": 1540 + }, + { + "epoch": 0.67, + "learning_rate": 2.8208167394267233e-06, + "loss": 1.1185, + "step": 1541 + }, + { + "epoch": 0.67, + "learning_rate": 2.820573042735877e-06, + "loss": 1.0565, + "step": 1542 + }, + { + "epoch": 0.67, + "learning_rate": 2.8203291909803243e-06, + "loss": 1.2891, + "step": 1543 + }, + { + "epoch": 0.67, + "learning_rate": 2.8200851841887e-06, + "loss": 1.1968, + "step": 1544 + }, + { + "epoch": 0.67, + "learning_rate": 2.8198410223896547e-06, + "loss": 0.8648, + "step": 1545 + }, + { + "epoch": 0.67, + "learning_rate": 2.8195967056118596e-06, + "loss": 1.0128, + "step": 1546 + }, + { + "epoch": 0.67, + "learning_rate": 2.819352233884002e-06, + "loss": 0.8317, + "step": 1547 + }, + { + "epoch": 0.67, + "learning_rate": 2.8191076072347895e-06, + "loss": 0.7891, + "step": 1548 + }, + { + "epoch": 0.67, + "learning_rate": 2.8188628256929453e-06, + "loss": 1.151, + "step": 1549 + }, + { + "epoch": 0.67, + "learning_rate": 2.8186178892872128e-06, + "loss": 0.9798, + "step": 1550 + }, + { + "epoch": 0.67, + "learning_rate": 2.8183727980463537e-06, + "loss": 0.893, + "step": 1551 + }, + { + "epoch": 0.67, + "learning_rate": 2.818127551999146e-06, + "loss": 0.8141, + "step": 1552 + }, + { + "epoch": 0.67, + "learning_rate": 2.817882151174388e-06, + "loss": 1.2635, + "step": 1553 + }, + { + "epoch": 0.67, + "learning_rate": 2.8176365956008943e-06, + "loss": 1.3159, + "step": 1554 + }, + { + "epoch": 0.67, + "learning_rate": 2.8173908853074994e-06, + "loss": 0.8533, + "step": 1555 + }, + { + "epoch": 0.67, + "learning_rate": 2.817145020323055e-06, + "loss": 1.0295, + "step": 1556 + }, + { + "epoch": 0.67, + "learning_rate": 2.816899000676431e-06, + "loss": 1.1692, + "step": 1557 + }, + { + "epoch": 0.67, + "learning_rate": 2.816652826396516e-06, + "loss": 0.7737, + "step": 1558 + }, + { + "epoch": 0.67, + "learning_rate": 2.8164064975122152e-06, + "loss": 1.0096, + "step": 1559 + }, + { + "epoch": 0.67, + "learning_rate": 2.8161600140524545e-06, + "loss": 1.1788, + "step": 1560 + }, + { + "epoch": 0.67, + "learning_rate": 2.815913376046176e-06, + "loss": 0.7865, + "step": 1561 + }, + { + "epoch": 0.67, + "learning_rate": 2.8156665835223394e-06, + "loss": 1.4645, + "step": 1562 + }, + { + "epoch": 0.67, + "learning_rate": 2.8154196365099255e-06, + "loss": 0.779, + "step": 1563 + }, + { + "epoch": 0.68, + "learning_rate": 2.8151725350379303e-06, + "loss": 0.9827, + "step": 1564 + }, + { + "epoch": 0.68, + "learning_rate": 2.8149252791353693e-06, + "loss": 0.878, + "step": 1565 + }, + { + "epoch": 0.68, + "learning_rate": 2.8146778688312757e-06, + "loss": 0.7525, + "step": 1566 + }, + { + "epoch": 0.68, + "learning_rate": 2.814430304154701e-06, + "loss": 1.0199, + "step": 1567 + }, + { + "epoch": 0.68, + "learning_rate": 2.8141825851347154e-06, + "loss": 1.0762, + "step": 1568 + }, + { + "epoch": 0.68, + "learning_rate": 2.8139347118004056e-06, + "loss": 1.0751, + "step": 1569 + }, + { + "epoch": 0.68, + "learning_rate": 2.813686684180878e-06, + "loss": 0.8735, + "step": 1570 + }, + { + "epoch": 0.68, + "learning_rate": 2.813438502305257e-06, + "loss": 1.0184, + "step": 1571 + }, + { + "epoch": 0.68, + "learning_rate": 2.813190166202684e-06, + "loss": 0.9839, + "step": 1572 + }, + { + "epoch": 0.68, + "learning_rate": 2.8129416759023195e-06, + "loss": 0.9603, + "step": 1573 + }, + { + "epoch": 0.68, + "learning_rate": 2.8126930314333416e-06, + "loss": 0.9204, + "step": 1574 + }, + { + "epoch": 0.68, + "learning_rate": 2.812444232824947e-06, + "loss": 0.9971, + "step": 1575 + }, + { + "epoch": 0.68, + "learning_rate": 2.81219528010635e-06, + "loss": 0.8384, + "step": 1576 + }, + { + "epoch": 0.68, + "learning_rate": 2.811946173306783e-06, + "loss": 1.0625, + "step": 1577 + }, + { + "epoch": 0.68, + "learning_rate": 2.811696912455497e-06, + "loss": 1.2776, + "step": 1578 + }, + { + "epoch": 0.68, + "learning_rate": 2.811447497581761e-06, + "loss": 1.2727, + "step": 1579 + }, + { + "epoch": 0.68, + "learning_rate": 2.8111979287148615e-06, + "loss": 0.695, + "step": 1580 + }, + { + "epoch": 0.68, + "learning_rate": 2.8109482058841032e-06, + "loss": 0.7486, + "step": 1581 + }, + { + "epoch": 0.68, + "learning_rate": 2.8106983291188097e-06, + "loss": 0.8528, + "step": 1582 + }, + { + "epoch": 0.68, + "learning_rate": 2.8104482984483217e-06, + "loss": 0.8875, + "step": 1583 + }, + { + "epoch": 0.68, + "learning_rate": 2.8101981139019987e-06, + "loss": 1.2364, + "step": 1584 + }, + { + "epoch": 0.68, + "learning_rate": 2.8099477755092173e-06, + "loss": 0.4561, + "step": 1585 + }, + { + "epoch": 0.68, + "learning_rate": 2.809697283299374e-06, + "loss": 1.1597, + "step": 1586 + }, + { + "epoch": 0.68, + "learning_rate": 2.8094466373018807e-06, + "loss": 0.9985, + "step": 1587 + }, + { + "epoch": 0.69, + "learning_rate": 2.80919583754617e-06, + "loss": 1.2715, + "step": 1588 + }, + { + "epoch": 0.69, + "learning_rate": 2.8089448840616908e-06, + "loss": 1.1516, + "step": 1589 + }, + { + "epoch": 0.69, + "learning_rate": 2.808693776877911e-06, + "loss": 0.8472, + "step": 1590 + }, + { + "epoch": 0.69, + "learning_rate": 2.8084425160243155e-06, + "loss": 0.7923, + "step": 1591 + }, + { + "epoch": 0.69, + "learning_rate": 2.8081911015304085e-06, + "loss": 1.0609, + "step": 1592 + }, + { + "epoch": 0.69, + "learning_rate": 2.8079395334257115e-06, + "loss": 1.264, + "step": 1593 + }, + { + "epoch": 0.69, + "learning_rate": 2.807687811739765e-06, + "loss": 0.971, + "step": 1594 + }, + { + "epoch": 0.69, + "learning_rate": 2.807435936502125e-06, + "loss": 1.0774, + "step": 1595 + }, + { + "epoch": 0.69, + "learning_rate": 2.8071839077423686e-06, + "loss": 0.9008, + "step": 1596 + }, + { + "epoch": 0.69, + "learning_rate": 2.806931725490089e-06, + "loss": 0.9806, + "step": 1597 + }, + { + "epoch": 0.69, + "learning_rate": 2.8066793897748986e-06, + "loss": 0.909, + "step": 1598 + }, + { + "epoch": 0.69, + "learning_rate": 2.8064269006264267e-06, + "loss": 0.9031, + "step": 1599 + }, + { + "epoch": 0.69, + "learning_rate": 2.8061742580743216e-06, + "loss": 0.7706, + "step": 1600 + }, + { + "epoch": 0.69, + "learning_rate": 2.805921462148249e-06, + "loss": 0.9147, + "step": 1601 + }, + { + "epoch": 0.69, + "learning_rate": 2.805668512877892e-06, + "loss": 1.1784, + "step": 1602 + }, + { + "epoch": 0.69, + "learning_rate": 2.8054154102929536e-06, + "loss": 0.7485, + "step": 1603 + }, + { + "epoch": 0.69, + "learning_rate": 2.805162154423153e-06, + "loss": 1.0183, + "step": 1604 + }, + { + "epoch": 0.69, + "learning_rate": 2.8049087452982287e-06, + "loss": 0.972, + "step": 1605 + }, + { + "epoch": 0.69, + "learning_rate": 2.804655182947936e-06, + "loss": 0.7604, + "step": 1606 + }, + { + "epoch": 0.69, + "learning_rate": 2.804401467402049e-06, + "loss": 1.3831, + "step": 1607 + }, + { + "epoch": 0.69, + "learning_rate": 2.8041475986903594e-06, + "loss": 1.0214, + "step": 1608 + }, + { + "epoch": 0.69, + "learning_rate": 2.803893576842678e-06, + "loss": 0.8725, + "step": 1609 + }, + { + "epoch": 0.69, + "learning_rate": 2.803639401888831e-06, + "loss": 1.0248, + "step": 1610 + }, + { + "epoch": 0.7, + "learning_rate": 2.803385073858665e-06, + "loss": 0.7826, + "step": 1611 + }, + { + "epoch": 0.7, + "learning_rate": 2.8031305927820442e-06, + "loss": 0.891, + "step": 1612 + }, + { + "epoch": 0.7, + "learning_rate": 2.8028759586888497e-06, + "loss": 1.1391, + "step": 1613 + }, + { + "epoch": 0.7, + "learning_rate": 2.802621171608981e-06, + "loss": 0.9124, + "step": 1614 + }, + { + "epoch": 0.7, + "learning_rate": 2.802366231572357e-06, + "loss": 0.7872, + "step": 1615 + }, + { + "epoch": 0.7, + "learning_rate": 2.8021111386089123e-06, + "loss": 1.0316, + "step": 1616 + }, + { + "epoch": 0.7, + "learning_rate": 2.801855892748601e-06, + "loss": 1.3106, + "step": 1617 + }, + { + "epoch": 0.7, + "learning_rate": 2.8016004940213942e-06, + "loss": 0.92, + "step": 1618 + }, + { + "epoch": 0.7, + "learning_rate": 2.8013449424572817e-06, + "loss": 1.0113, + "step": 1619 + }, + { + "epoch": 0.7, + "learning_rate": 2.8010892380862706e-06, + "loss": 1.1241, + "step": 1620 + }, + { + "epoch": 0.7, + "learning_rate": 2.8008333809383866e-06, + "loss": 1.2412, + "step": 1621 + }, + { + "epoch": 0.7, + "learning_rate": 2.8005773710436735e-06, + "loss": 1.0896, + "step": 1622 + }, + { + "epoch": 0.7, + "learning_rate": 2.8003212084321917e-06, + "loss": 0.9571, + "step": 1623 + }, + { + "epoch": 0.7, + "learning_rate": 2.800064893134021e-06, + "loss": 0.951, + "step": 1624 + }, + { + "epoch": 0.7, + "learning_rate": 2.7998084251792583e-06, + "loss": 0.8304, + "step": 1625 + }, + { + "epoch": 0.7, + "learning_rate": 2.7995518045980183e-06, + "loss": 1.004, + "step": 1626 + }, + { + "epoch": 0.7, + "learning_rate": 2.799295031420435e-06, + "loss": 1.3834, + "step": 1627 + }, + { + "epoch": 0.7, + "learning_rate": 2.7990381056766585e-06, + "loss": 0.8884, + "step": 1628 + }, + { + "epoch": 0.7, + "learning_rate": 2.798781027396857e-06, + "loss": 0.946, + "step": 1629 + }, + { + "epoch": 0.7, + "learning_rate": 2.7985237966112184e-06, + "loss": 1.1809, + "step": 1630 + }, + { + "epoch": 0.7, + "learning_rate": 2.798266413349947e-06, + "loss": 1.1244, + "step": 1631 + }, + { + "epoch": 0.7, + "learning_rate": 2.798008877643265e-06, + "loss": 0.8263, + "step": 1632 + }, + { + "epoch": 0.7, + "learning_rate": 2.7977511895214136e-06, + "loss": 0.9677, + "step": 1633 + }, + { + "epoch": 0.71, + "learning_rate": 2.7974933490146497e-06, + "loss": 0.9647, + "step": 1634 + }, + { + "epoch": 0.71, + "learning_rate": 2.7972353561532507e-06, + "loss": 1.233, + "step": 1635 + }, + { + "epoch": 0.71, + "learning_rate": 2.796977210967511e-06, + "loss": 1.0374, + "step": 1636 + }, + { + "epoch": 0.71, + "learning_rate": 2.796718913487741e-06, + "loss": 1.123, + "step": 1637 + }, + { + "epoch": 0.71, + "learning_rate": 2.7964604637442727e-06, + "loss": 1.1527, + "step": 1638 + }, + { + "epoch": 0.71, + "learning_rate": 2.796201861767452e-06, + "loss": 0.7956, + "step": 1639 + }, + { + "epoch": 0.71, + "learning_rate": 2.795943107587645e-06, + "loss": 0.8825, + "step": 1640 + }, + { + "epoch": 0.71, + "learning_rate": 2.7956842012352362e-06, + "loss": 0.9789, + "step": 1641 + }, + { + "epoch": 0.71, + "learning_rate": 2.795425142740626e-06, + "loss": 0.9239, + "step": 1642 + }, + { + "epoch": 0.71, + "learning_rate": 2.795165932134234e-06, + "loss": 0.8772, + "step": 1643 + }, + { + "epoch": 0.71, + "learning_rate": 2.7949065694464966e-06, + "loss": 1.1812, + "step": 1644 + }, + { + "epoch": 0.71, + "learning_rate": 2.79464705470787e-06, + "loss": 0.9869, + "step": 1645 + }, + { + "epoch": 0.71, + "learning_rate": 2.794387387948827e-06, + "loss": 0.9445, + "step": 1646 + }, + { + "epoch": 0.71, + "learning_rate": 2.7941275691998566e-06, + "loss": 0.7572, + "step": 1647 + }, + { + "epoch": 0.71, + "learning_rate": 2.7938675984914685e-06, + "loss": 0.8018, + "step": 1648 + }, + { + "epoch": 0.71, + "learning_rate": 2.793607475854189e-06, + "loss": 0.8999, + "step": 1649 + }, + { + "epoch": 0.71, + "learning_rate": 2.7933472013185623e-06, + "loss": 0.6102, + "step": 1650 + }, + { + "epoch": 0.71, + "learning_rate": 2.79308677491515e-06, + "loss": 1.2503, + "step": 1651 + }, + { + "epoch": 0.71, + "learning_rate": 2.792826196674533e-06, + "loss": 0.7011, + "step": 1652 + }, + { + "epoch": 0.71, + "learning_rate": 2.7925654666273076e-06, + "loss": 1.0235, + "step": 1653 + }, + { + "epoch": 0.71, + "learning_rate": 2.7923045848040905e-06, + "loss": 0.7841, + "step": 1654 + }, + { + "epoch": 0.71, + "learning_rate": 2.7920435512355144e-06, + "loss": 1.3398, + "step": 1655 + }, + { + "epoch": 0.71, + "learning_rate": 2.79178236595223e-06, + "loss": 0.6116, + "step": 1656 + }, + { + "epoch": 0.72, + "learning_rate": 2.791521028984908e-06, + "loss": 1.2239, + "step": 1657 + }, + { + "epoch": 0.72, + "learning_rate": 2.7912595403642335e-06, + "loss": 0.8026, + "step": 1658 + }, + { + "epoch": 0.72, + "learning_rate": 2.790997900120912e-06, + "loss": 0.9876, + "step": 1659 + }, + { + "epoch": 0.72, + "learning_rate": 2.7907361082856648e-06, + "loss": 1.1478, + "step": 1660 + }, + { + "epoch": 0.72, + "learning_rate": 2.790474164889233e-06, + "loss": 0.8213, + "step": 1661 + }, + { + "epoch": 0.72, + "learning_rate": 2.7902120699623747e-06, + "loss": 1.0713, + "step": 1662 + }, + { + "epoch": 0.72, + "learning_rate": 2.7899498235358654e-06, + "loss": 1.0332, + "step": 1663 + }, + { + "epoch": 0.72, + "learning_rate": 2.789687425640499e-06, + "loss": 1.0135, + "step": 1664 + }, + { + "epoch": 0.72, + "learning_rate": 2.7894248763070862e-06, + "loss": 0.8572, + "step": 1665 + }, + { + "epoch": 0.72, + "learning_rate": 2.7891621755664567e-06, + "loss": 0.8719, + "step": 1666 + }, + { + "epoch": 0.72, + "learning_rate": 2.788899323449457e-06, + "loss": 1.004, + "step": 1667 + }, + { + "epoch": 0.72, + "learning_rate": 2.7886363199869526e-06, + "loss": 0.9356, + "step": 1668 + }, + { + "epoch": 0.72, + "learning_rate": 2.7883731652098247e-06, + "loss": 1.011, + "step": 1669 + }, + { + "epoch": 0.72, + "learning_rate": 2.788109859148975e-06, + "loss": 0.7754, + "step": 1670 + }, + { + "epoch": 0.72, + "learning_rate": 2.78784640183532e-06, + "loss": 1.0254, + "step": 1671 + }, + { + "epoch": 0.72, + "learning_rate": 2.7875827932997962e-06, + "loss": 1.0442, + "step": 1672 + }, + { + "epoch": 0.72, + "learning_rate": 2.7873190335733573e-06, + "loss": 0.8948, + "step": 1673 + }, + { + "epoch": 0.72, + "learning_rate": 2.7870551226869746e-06, + "loss": 0.7348, + "step": 1674 + }, + { + "epoch": 0.72, + "learning_rate": 2.786791060671637e-06, + "loss": 1.193, + "step": 1675 + }, + { + "epoch": 0.72, + "learning_rate": 2.7865268475583506e-06, + "loss": 0.752, + "step": 1676 + }, + { + "epoch": 0.72, + "learning_rate": 2.7862624833781404e-06, + "loss": 1.0418, + "step": 1677 + }, + { + "epoch": 0.72, + "learning_rate": 2.785997968162049e-06, + "loss": 0.7823, + "step": 1678 + }, + { + "epoch": 0.72, + "learning_rate": 2.7857333019411365e-06, + "loss": 1.0183, + "step": 1679 + }, + { + "epoch": 0.73, + "learning_rate": 2.7854684847464794e-06, + "loss": 0.8226, + "step": 1680 + }, + { + "epoch": 0.73, + "learning_rate": 2.7852035166091743e-06, + "loss": 1.0641, + "step": 1681 + }, + { + "epoch": 0.73, + "learning_rate": 2.7849383975603344e-06, + "loss": 0.5058, + "step": 1682 + }, + { + "epoch": 0.73, + "learning_rate": 2.7846731276310898e-06, + "loss": 1.1609, + "step": 1683 + }, + { + "epoch": 0.73, + "learning_rate": 2.7844077068525897e-06, + "loss": 1.1131, + "step": 1684 + }, + { + "epoch": 0.73, + "learning_rate": 2.7841421352560003e-06, + "loss": 1.1396, + "step": 1685 + }, + { + "epoch": 0.73, + "learning_rate": 2.783876412872505e-06, + "loss": 0.766, + "step": 1686 + }, + { + "epoch": 0.73, + "learning_rate": 2.7836105397333066e-06, + "loss": 0.8691, + "step": 1687 + }, + { + "epoch": 0.73, + "learning_rate": 2.7833445158696236e-06, + "loss": 1.2389, + "step": 1688 + }, + { + "epoch": 0.73, + "learning_rate": 2.783078341312694e-06, + "loss": 1.2497, + "step": 1689 + }, + { + "epoch": 0.73, + "learning_rate": 2.782812016093772e-06, + "loss": 0.9751, + "step": 1690 + }, + { + "epoch": 0.73, + "learning_rate": 2.7825455402441298e-06, + "loss": 0.7084, + "step": 1691 + }, + { + "epoch": 0.73, + "learning_rate": 2.7822789137950587e-06, + "loss": 0.9633, + "step": 1692 + }, + { + "epoch": 0.73, + "learning_rate": 2.7820121367778653e-06, + "loss": 0.7067, + "step": 1693 + }, + { + "epoch": 0.73, + "learning_rate": 2.7817452092238763e-06, + "loss": 0.8895, + "step": 1694 + }, + { + "epoch": 0.73, + "learning_rate": 2.7814781311644344e-06, + "loss": 1.1589, + "step": 1695 + }, + { + "epoch": 0.73, + "learning_rate": 2.7812109026309007e-06, + "loss": 1.1057, + "step": 1696 + }, + { + "epoch": 0.73, + "learning_rate": 2.7809435236546535e-06, + "loss": 0.7408, + "step": 1697 + }, + { + "epoch": 0.73, + "learning_rate": 2.7806759942670893e-06, + "loss": 0.9337, + "step": 1698 + }, + { + "epoch": 0.73, + "learning_rate": 2.780408314499622e-06, + "loss": 0.8197, + "step": 1699 + }, + { + "epoch": 0.73, + "learning_rate": 2.7801404843836832e-06, + "loss": 1.1266, + "step": 1700 + }, + { + "epoch": 0.73, + "learning_rate": 2.7798725039507214e-06, + "loss": 0.7201, + "step": 1701 + }, + { + "epoch": 0.73, + "learning_rate": 2.779604373232205e-06, + "loss": 0.9494, + "step": 1702 + }, + { + "epoch": 0.74, + "learning_rate": 2.779336092259617e-06, + "loss": 1.2628, + "step": 1703 + }, + { + "epoch": 0.74, + "learning_rate": 2.77906766106446e-06, + "loss": 1.127, + "step": 1704 + }, + { + "epoch": 0.74, + "learning_rate": 2.778799079678255e-06, + "loss": 1.261, + "step": 1705 + }, + { + "epoch": 0.74, + "learning_rate": 2.778530348132538e-06, + "loss": 0.7737, + "step": 1706 + }, + { + "epoch": 0.74, + "learning_rate": 2.778261466458864e-06, + "loss": 0.8413, + "step": 1707 + }, + { + "epoch": 0.74, + "learning_rate": 2.7779924346888066e-06, + "loss": 0.8495, + "step": 1708 + }, + { + "epoch": 0.74, + "learning_rate": 2.7777232528539555e-06, + "loss": 0.8209, + "step": 1709 + }, + { + "epoch": 0.74, + "learning_rate": 2.7774539209859195e-06, + "loss": 0.9472, + "step": 1710 + }, + { + "epoch": 0.74, + "learning_rate": 2.777184439116323e-06, + "loss": 0.9668, + "step": 1711 + }, + { + "epoch": 0.74, + "learning_rate": 2.77691480727681e-06, + "loss": 0.6263, + "step": 1712 + }, + { + "epoch": 0.74, + "learning_rate": 2.7766450254990404e-06, + "loss": 1.0582, + "step": 1713 + }, + { + "epoch": 0.74, + "learning_rate": 2.776375093814694e-06, + "loss": 1.1913, + "step": 1714 + }, + { + "epoch": 0.74, + "learning_rate": 2.7761050122554655e-06, + "loss": 1.0014, + "step": 1715 + }, + { + "epoch": 0.74, + "learning_rate": 2.7758347808530695e-06, + "loss": 0.8679, + "step": 1716 + }, + { + "epoch": 0.74, + "learning_rate": 2.775564399639236e-06, + "loss": 1.1106, + "step": 1717 + }, + { + "epoch": 0.74, + "learning_rate": 2.7752938686457154e-06, + "loss": 1.0736, + "step": 1718 + }, + { + "epoch": 0.74, + "learning_rate": 2.775023187904272e-06, + "loss": 1.0913, + "step": 1719 + }, + { + "epoch": 0.74, + "learning_rate": 2.7747523574466917e-06, + "loss": 1.1649, + "step": 1720 + }, + { + "epoch": 0.74, + "learning_rate": 2.774481377304775e-06, + "loss": 0.8655, + "step": 1721 + }, + { + "epoch": 0.74, + "learning_rate": 2.7742102475103412e-06, + "loss": 1.1786, + "step": 1722 + }, + { + "epoch": 0.74, + "learning_rate": 2.773938968095227e-06, + "loss": 1.1442, + "step": 1723 + }, + { + "epoch": 0.74, + "learning_rate": 2.7736675390912868e-06, + "loss": 1.0197, + "step": 1724 + }, + { + "epoch": 0.74, + "learning_rate": 2.773395960530392e-06, + "loss": 1.3805, + "step": 1725 + }, + { + "epoch": 0.74, + "learning_rate": 2.7731242324444322e-06, + "loss": 0.8954, + "step": 1726 + }, + { + "epoch": 0.75, + "learning_rate": 2.7728523548653144e-06, + "loss": 1.1246, + "step": 1727 + }, + { + "epoch": 0.75, + "learning_rate": 2.7725803278249633e-06, + "loss": 0.949, + "step": 1728 + }, + { + "epoch": 0.75, + "learning_rate": 2.7723081513553207e-06, + "loss": 1.0645, + "step": 1729 + }, + { + "epoch": 0.75, + "learning_rate": 2.772035825488346e-06, + "loss": 0.8046, + "step": 1730 + }, + { + "epoch": 0.75, + "learning_rate": 2.7717633502560167e-06, + "loss": 0.765, + "step": 1731 + }, + { + "epoch": 0.75, + "learning_rate": 2.771490725690327e-06, + "loss": 0.756, + "step": 1732 + }, + { + "epoch": 0.75, + "learning_rate": 2.7712179518232896e-06, + "loss": 1.2065, + "step": 1733 + }, + { + "epoch": 0.75, + "learning_rate": 2.770945028686934e-06, + "loss": 1.1483, + "step": 1734 + }, + { + "epoch": 0.75, + "learning_rate": 2.7706719563133072e-06, + "loss": 0.9729, + "step": 1735 + }, + { + "epoch": 0.75, + "learning_rate": 2.770398734734474e-06, + "loss": 0.9017, + "step": 1736 + }, + { + "epoch": 0.75, + "learning_rate": 2.770125363982518e-06, + "loss": 1.0909, + "step": 1737 + }, + { + "epoch": 0.75, + "learning_rate": 2.7698518440895375e-06, + "loss": 0.8115, + "step": 1738 + }, + { + "epoch": 0.75, + "learning_rate": 2.76957817508765e-06, + "loss": 0.9085, + "step": 1739 + }, + { + "epoch": 0.75, + "learning_rate": 2.7693043570089908e-06, + "loss": 0.9644, + "step": 1740 + }, + { + "epoch": 0.75, + "eval_loss": 1.256152868270874, + "eval_runtime": 32.1734, + "eval_samples_per_second": 38.697, + "eval_steps_per_second": 19.364, + "step": 1740 + }, + { + "epoch": 0.75, + "learning_rate": 2.769030389885712e-06, + "loss": 0.9486, + "step": 1741 + }, + { + "epoch": 0.75, + "learning_rate": 2.7687562737499835e-06, + "loss": 1.4981, + "step": 1742 + }, + { + "epoch": 0.75, + "learning_rate": 2.768482008633993e-06, + "loss": 1.0327, + "step": 1743 + }, + { + "epoch": 0.75, + "learning_rate": 2.7682075945699446e-06, + "loss": 1.1069, + "step": 1744 + }, + { + "epoch": 0.75, + "learning_rate": 2.7679330315900616e-06, + "loss": 1.3067, + "step": 1745 + }, + { + "epoch": 0.75, + "learning_rate": 2.767658319726582e-06, + "loss": 0.9682, + "step": 1746 + }, + { + "epoch": 0.75, + "learning_rate": 2.767383459011766e-06, + "loss": 0.9697, + "step": 1747 + }, + { + "epoch": 0.75, + "learning_rate": 2.7671084494778856e-06, + "loss": 0.716, + "step": 1748 + }, + { + "epoch": 0.75, + "learning_rate": 2.766833291157235e-06, + "loss": 0.8137, + "step": 1749 + }, + { + "epoch": 0.76, + "learning_rate": 2.7665579840821223e-06, + "loss": 1.114, + "step": 1750 + }, + { + "epoch": 0.76, + "learning_rate": 2.7662825282848756e-06, + "loss": 1.3975, + "step": 1751 + }, + { + "epoch": 0.76, + "learning_rate": 2.7660069237978395e-06, + "loss": 0.7992, + "step": 1752 + }, + { + "epoch": 0.76, + "learning_rate": 2.7657311706533765e-06, + "loss": 0.9781, + "step": 1753 + }, + { + "epoch": 0.76, + "learning_rate": 2.7654552688838653e-06, + "loss": 1.0528, + "step": 1754 + }, + { + "epoch": 0.76, + "learning_rate": 2.7651792185217033e-06, + "loss": 0.6321, + "step": 1755 + }, + { + "epoch": 0.76, + "learning_rate": 2.7649030195993046e-06, + "loss": 1.223, + "step": 1756 + }, + { + "epoch": 0.76, + "learning_rate": 2.764626672149102e-06, + "loss": 0.7618, + "step": 1757 + }, + { + "epoch": 0.76, + "learning_rate": 2.764350176203544e-06, + "loss": 1.1135, + "step": 1758 + }, + { + "epoch": 0.76, + "learning_rate": 2.764073531795098e-06, + "loss": 0.9138, + "step": 1759 + }, + { + "epoch": 0.76, + "learning_rate": 2.7637967389562476e-06, + "loss": 0.9548, + "step": 1760 + }, + { + "epoch": 0.76, + "learning_rate": 2.7635197977194952e-06, + "loss": 0.8678, + "step": 1761 + }, + { + "epoch": 0.76, + "learning_rate": 2.7632427081173594e-06, + "loss": 0.9922, + "step": 1762 + }, + { + "epoch": 0.76, + "learning_rate": 2.762965470182377e-06, + "loss": 1.0087, + "step": 1763 + }, + { + "epoch": 0.76, + "learning_rate": 2.7626880839471013e-06, + "loss": 1.032, + "step": 1764 + }, + { + "epoch": 0.76, + "learning_rate": 2.7624105494441037e-06, + "loss": 1.0674, + "step": 1765 + }, + { + "epoch": 0.76, + "learning_rate": 2.762132866705974e-06, + "loss": 1.1482, + "step": 1766 + }, + { + "epoch": 0.76, + "learning_rate": 2.7618550357653165e-06, + "loss": 1.3429, + "step": 1767 + }, + { + "epoch": 0.76, + "learning_rate": 2.7615770566547566e-06, + "loss": 0.9124, + "step": 1768 + }, + { + "epoch": 0.76, + "learning_rate": 2.761298929406934e-06, + "loss": 1.0739, + "step": 1769 + }, + { + "epoch": 0.76, + "learning_rate": 2.761020654054508e-06, + "loss": 0.8846, + "step": 1770 + }, + { + "epoch": 0.76, + "learning_rate": 2.7607422306301537e-06, + "loss": 1.1748, + "step": 1771 + }, + { + "epoch": 0.76, + "learning_rate": 2.760463659166564e-06, + "loss": 0.9312, + "step": 1772 + }, + { + "epoch": 0.77, + "learning_rate": 2.7601849396964503e-06, + "loss": 0.9731, + "step": 1773 + }, + { + "epoch": 0.77, + "learning_rate": 2.7599060722525395e-06, + "loss": 0.8547, + "step": 1774 + }, + { + "epoch": 0.77, + "learning_rate": 2.7596270568675774e-06, + "loss": 0.9153, + "step": 1775 + }, + { + "epoch": 0.77, + "learning_rate": 2.7593478935743264e-06, + "loss": 1.104, + "step": 1776 + }, + { + "epoch": 0.77, + "learning_rate": 2.7590685824055667e-06, + "loss": 1.0985, + "step": 1777 + }, + { + "epoch": 0.77, + "learning_rate": 2.7587891233940954e-06, + "loss": 1.0755, + "step": 1778 + }, + { + "epoch": 0.77, + "learning_rate": 2.7585095165727274e-06, + "loss": 1.022, + "step": 1779 + }, + { + "epoch": 0.77, + "learning_rate": 2.7582297619742945e-06, + "loss": 1.2668, + "step": 1780 + }, + { + "epoch": 0.77, + "learning_rate": 2.757949859631647e-06, + "loss": 0.4957, + "step": 1781 + }, + { + "epoch": 0.77, + "learning_rate": 2.75766980957765e-06, + "loss": 1.1962, + "step": 1782 + }, + { + "epoch": 0.77, + "learning_rate": 2.7573896118451896e-06, + "loss": 0.9233, + "step": 1783 + }, + { + "epoch": 0.77, + "learning_rate": 2.757109266467166e-06, + "loss": 0.6768, + "step": 1784 + }, + { + "epoch": 0.77, + "learning_rate": 2.7568287734764985e-06, + "loss": 1.0978, + "step": 1785 + }, + { + "epoch": 0.77, + "learning_rate": 2.7565481329061223e-06, + "loss": 0.8083, + "step": 1786 + }, + { + "epoch": 0.77, + "learning_rate": 2.7562673447889924e-06, + "loss": 0.8803, + "step": 1787 + }, + { + "epoch": 0.77, + "learning_rate": 2.755986409158078e-06, + "loss": 0.8858, + "step": 1788 + }, + { + "epoch": 0.77, + "learning_rate": 2.7557053260463685e-06, + "loss": 1.0541, + "step": 1789 + }, + { + "epoch": 0.77, + "learning_rate": 2.7554240954868688e-06, + "loss": 1.0821, + "step": 1790 + }, + { + "epoch": 0.77, + "learning_rate": 2.7551427175126014e-06, + "loss": 0.6321, + "step": 1791 + }, + { + "epoch": 0.77, + "learning_rate": 2.7548611921566066e-06, + "loss": 0.5906, + "step": 1792 + }, + { + "epoch": 0.77, + "learning_rate": 2.754579519451942e-06, + "loss": 0.6906, + "step": 1793 + }, + { + "epoch": 0.77, + "learning_rate": 2.7542976994316817e-06, + "loss": 1.3772, + "step": 1794 + }, + { + "epoch": 0.77, + "learning_rate": 2.7540157321289177e-06, + "loss": 1.0565, + "step": 1795 + }, + { + "epoch": 0.78, + "learning_rate": 2.75373361757676e-06, + "loss": 1.0466, + "step": 1796 + }, + { + "epoch": 0.78, + "learning_rate": 2.7534513558083344e-06, + "loss": 0.6046, + "step": 1797 + }, + { + "epoch": 0.78, + "learning_rate": 2.7531689468567844e-06, + "loss": 1.2846, + "step": 1798 + }, + { + "epoch": 0.78, + "learning_rate": 2.7528863907552725e-06, + "loss": 1.0251, + "step": 1799 + }, + { + "epoch": 0.78, + "learning_rate": 2.7526036875369757e-06, + "loss": 0.7412, + "step": 1800 + }, + { + "epoch": 0.78, + "learning_rate": 2.75232083723509e-06, + "loss": 1.172, + "step": 1801 + }, + { + "epoch": 0.78, + "learning_rate": 2.752037839882829e-06, + "loss": 1.1497, + "step": 1802 + }, + { + "epoch": 0.78, + "learning_rate": 2.7517546955134224e-06, + "loss": 0.7238, + "step": 1803 + }, + { + "epoch": 0.78, + "learning_rate": 2.7514714041601175e-06, + "loss": 0.9286, + "step": 1804 + }, + { + "epoch": 0.78, + "learning_rate": 2.751187965856179e-06, + "loss": 1.1538, + "step": 1805 + }, + { + "epoch": 0.78, + "learning_rate": 2.750904380634889e-06, + "loss": 0.9193, + "step": 1806 + }, + { + "epoch": 0.78, + "learning_rate": 2.750620648529547e-06, + "loss": 1.1063, + "step": 1807 + }, + { + "epoch": 0.78, + "learning_rate": 2.7503367695734693e-06, + "loss": 0.6603, + "step": 1808 + }, + { + "epoch": 0.78, + "learning_rate": 2.750052743799989e-06, + "loss": 0.9343, + "step": 1809 + }, + { + "epoch": 0.78, + "learning_rate": 2.7497685712424585e-06, + "loss": 1.006, + "step": 1810 + }, + { + "epoch": 0.78, + "learning_rate": 2.749484251934245e-06, + "loss": 0.867, + "step": 1811 + }, + { + "epoch": 0.78, + "learning_rate": 2.7491997859087336e-06, + "loss": 0.8108, + "step": 1812 + }, + { + "epoch": 0.78, + "learning_rate": 2.7489151731993275e-06, + "loss": 1.0218, + "step": 1813 + }, + { + "epoch": 0.78, + "learning_rate": 2.7486304138394464e-06, + "loss": 1.0602, + "step": 1814 + }, + { + "epoch": 0.78, + "learning_rate": 2.7483455078625273e-06, + "loss": 1.0479, + "step": 1815 + }, + { + "epoch": 0.78, + "learning_rate": 2.748060455302025e-06, + "loss": 1.054, + "step": 1816 + }, + { + "epoch": 0.78, + "learning_rate": 2.7477752561914106e-06, + "loss": 0.9799, + "step": 1817 + }, + { + "epoch": 0.78, + "learning_rate": 2.747489910564173e-06, + "loss": 0.7012, + "step": 1818 + }, + { + "epoch": 0.79, + "learning_rate": 2.747204418453818e-06, + "loss": 0.8776, + "step": 1819 + }, + { + "epoch": 0.79, + "learning_rate": 2.7469187798938687e-06, + "loss": 0.681, + "step": 1820 + }, + { + "epoch": 0.79, + "learning_rate": 2.7466329949178654e-06, + "loss": 0.8585, + "step": 1821 + }, + { + "epoch": 0.79, + "learning_rate": 2.746347063559366e-06, + "loss": 0.9953, + "step": 1822 + }, + { + "epoch": 0.79, + "learning_rate": 2.7460609858519454e-06, + "loss": 1.247, + "step": 1823 + }, + { + "epoch": 0.79, + "learning_rate": 2.7457747618291943e-06, + "loss": 1.1763, + "step": 1824 + }, + { + "epoch": 0.79, + "learning_rate": 2.7454883915247222e-06, + "loss": 0.8952, + "step": 1825 + }, + { + "epoch": 0.79, + "learning_rate": 2.745201874972157e-06, + "loss": 0.8883, + "step": 1826 + }, + { + "epoch": 0.79, + "learning_rate": 2.74491521220514e-06, + "loss": 0.9288, + "step": 1827 + }, + { + "epoch": 0.79, + "learning_rate": 2.7446284032573326e-06, + "loss": 0.9064, + "step": 1828 + }, + { + "epoch": 0.79, + "learning_rate": 2.7443414481624128e-06, + "loss": 0.7462, + "step": 1829 + }, + { + "epoch": 0.79, + "learning_rate": 2.7440543469540754e-06, + "loss": 0.7953, + "step": 1830 + }, + { + "epoch": 0.79, + "learning_rate": 2.7437670996660322e-06, + "loss": 0.9947, + "step": 1831 + }, + { + "epoch": 0.79, + "learning_rate": 2.7434797063320127e-06, + "loss": 0.8877, + "step": 1832 + }, + { + "epoch": 0.79, + "learning_rate": 2.743192166985763e-06, + "loss": 0.9243, + "step": 1833 + }, + { + "epoch": 0.79, + "learning_rate": 2.742904481661047e-06, + "loss": 0.6944, + "step": 1834 + }, + { + "epoch": 0.79, + "learning_rate": 2.7426166503916454e-06, + "loss": 0.7735, + "step": 1835 + }, + { + "epoch": 0.79, + "learning_rate": 2.742328673211355e-06, + "loss": 0.7539, + "step": 1836 + }, + { + "epoch": 0.79, + "learning_rate": 2.7420405501539924e-06, + "loss": 0.8782, + "step": 1837 + }, + { + "epoch": 0.79, + "learning_rate": 2.741752281253389e-06, + "loss": 1.1026, + "step": 1838 + }, + { + "epoch": 0.79, + "learning_rate": 2.741463866543393e-06, + "loss": 0.799, + "step": 1839 + }, + { + "epoch": 0.79, + "learning_rate": 2.741175306057872e-06, + "loss": 1.1587, + "step": 1840 + }, + { + "epoch": 0.79, + "learning_rate": 2.740886599830709e-06, + "loss": 0.9869, + "step": 1841 + }, + { + "epoch": 0.79, + "learning_rate": 2.7405977478958043e-06, + "loss": 1.0784, + "step": 1842 + }, + { + "epoch": 0.8, + "learning_rate": 2.7403087502870756e-06, + "loss": 0.8938, + "step": 1843 + }, + { + "epoch": 0.8, + "learning_rate": 2.7400196070384584e-06, + "loss": 0.9266, + "step": 1844 + }, + { + "epoch": 0.8, + "learning_rate": 2.7397303181839034e-06, + "loss": 0.8174, + "step": 1845 + }, + { + "epoch": 0.8, + "learning_rate": 2.73944088375738e-06, + "loss": 0.9389, + "step": 1846 + }, + { + "epoch": 0.8, + "learning_rate": 2.739151303792875e-06, + "loss": 0.8774, + "step": 1847 + }, + { + "epoch": 0.8, + "learning_rate": 2.7388615783243907e-06, + "loss": 0.9094, + "step": 1848 + }, + { + "epoch": 0.8, + "learning_rate": 2.7385717073859475e-06, + "loss": 0.9895, + "step": 1849 + }, + { + "epoch": 0.8, + "learning_rate": 2.738281691011583e-06, + "loss": 0.9573, + "step": 1850 + }, + { + "epoch": 0.8, + "learning_rate": 2.737991529235351e-06, + "loss": 0.7659, + "step": 1851 + }, + { + "epoch": 0.8, + "learning_rate": 2.7377012220913233e-06, + "loss": 0.8332, + "step": 1852 + }, + { + "epoch": 0.8, + "learning_rate": 2.737410769613589e-06, + "loss": 1.1836, + "step": 1853 + }, + { + "epoch": 0.8, + "learning_rate": 2.7371201718362524e-06, + "loss": 1.0569, + "step": 1854 + }, + { + "epoch": 0.8, + "learning_rate": 2.736829428793437e-06, + "loss": 0.7988, + "step": 1855 + }, + { + "epoch": 0.8, + "learning_rate": 2.7365385405192825e-06, + "loss": 0.8209, + "step": 1856 + }, + { + "epoch": 0.8, + "learning_rate": 2.736247507047946e-06, + "loss": 1.5295, + "step": 1857 + }, + { + "epoch": 0.8, + "learning_rate": 2.7359563284136004e-06, + "loss": 1.0402, + "step": 1858 + }, + { + "epoch": 0.8, + "learning_rate": 2.735665004650437e-06, + "loss": 0.883, + "step": 1859 + }, + { + "epoch": 0.8, + "learning_rate": 2.735373535792664e-06, + "loss": 1.096, + "step": 1860 + }, + { + "epoch": 0.8, + "learning_rate": 2.735081921874506e-06, + "loss": 0.7991, + "step": 1861 + }, + { + "epoch": 0.8, + "learning_rate": 2.7347901629302054e-06, + "loss": 1.2145, + "step": 1862 + }, + { + "epoch": 0.8, + "learning_rate": 2.73449825899402e-06, + "loss": 0.6532, + "step": 1863 + }, + { + "epoch": 0.8, + "learning_rate": 2.7342062101002276e-06, + "loss": 1.0581, + "step": 1864 + }, + { + "epoch": 0.8, + "learning_rate": 2.7339140162831197e-06, + "loss": 0.9254, + "step": 1865 + }, + { + "epoch": 0.81, + "learning_rate": 2.733621677577007e-06, + "loss": 1.0395, + "step": 1866 + }, + { + "epoch": 0.81, + "learning_rate": 2.7333291940162173e-06, + "loss": 1.1302, + "step": 1867 + }, + { + "epoch": 0.81, + "learning_rate": 2.7330365656350933e-06, + "loss": 1.2696, + "step": 1868 + }, + { + "epoch": 0.81, + "learning_rate": 2.732743792467997e-06, + "loss": 0.9898, + "step": 1869 + }, + { + "epoch": 0.81, + "learning_rate": 2.7324508745493064e-06, + "loss": 1.0142, + "step": 1870 + }, + { + "epoch": 0.81, + "learning_rate": 2.732157811913416e-06, + "loss": 0.849, + "step": 1871 + }, + { + "epoch": 0.81, + "learning_rate": 2.7318646045947387e-06, + "loss": 0.9378, + "step": 1872 + }, + { + "epoch": 0.81, + "learning_rate": 2.7315712526277032e-06, + "loss": 1.0235, + "step": 1873 + }, + { + "epoch": 0.81, + "learning_rate": 2.731277756046755e-06, + "loss": 1.0164, + "step": 1874 + }, + { + "epoch": 0.81, + "learning_rate": 2.730984114886358e-06, + "loss": 0.9755, + "step": 1875 + }, + { + "epoch": 0.81, + "learning_rate": 2.7306903291809922e-06, + "loss": 1.3032, + "step": 1876 + }, + { + "epoch": 0.81, + "learning_rate": 2.7303963989651547e-06, + "loss": 1.2517, + "step": 1877 + }, + { + "epoch": 0.81, + "learning_rate": 2.730102324273358e-06, + "loss": 1.0657, + "step": 1878 + }, + { + "epoch": 0.81, + "learning_rate": 2.729808105140135e-06, + "loss": 1.167, + "step": 1879 + }, + { + "epoch": 0.81, + "learning_rate": 2.7295137416000323e-06, + "loss": 0.8718, + "step": 1880 + }, + { + "epoch": 0.81, + "learning_rate": 2.7292192336876153e-06, + "loss": 0.944, + "step": 1881 + }, + { + "epoch": 0.81, + "learning_rate": 2.7289245814374654e-06, + "loss": 1.0171, + "step": 1882 + }, + { + "epoch": 0.81, + "learning_rate": 2.7286297848841813e-06, + "loss": 1.1082, + "step": 1883 + }, + { + "epoch": 0.81, + "learning_rate": 2.7283348440623793e-06, + "loss": 0.7503, + "step": 1884 + }, + { + "epoch": 0.81, + "learning_rate": 2.728039759006692e-06, + "loss": 0.9794, + "step": 1885 + }, + { + "epoch": 0.81, + "learning_rate": 2.727744529751768e-06, + "loss": 1.0917, + "step": 1886 + }, + { + "epoch": 0.81, + "learning_rate": 2.727449156332274e-06, + "loss": 0.7873, + "step": 1887 + }, + { + "epoch": 0.81, + "learning_rate": 2.727153638782895e-06, + "loss": 0.8422, + "step": 1888 + }, + { + "epoch": 0.82, + "learning_rate": 2.7268579771383294e-06, + "loss": 1.0037, + "step": 1889 + }, + { + "epoch": 0.82, + "learning_rate": 2.726562171433296e-06, + "loss": 0.8631, + "step": 1890 + }, + { + "epoch": 0.82, + "learning_rate": 2.7262662217025272e-06, + "loss": 0.8086, + "step": 1891 + }, + { + "epoch": 0.82, + "learning_rate": 2.7259701279807756e-06, + "loss": 1.2279, + "step": 1892 + }, + { + "epoch": 0.82, + "learning_rate": 2.7256738903028087e-06, + "loss": 1.3531, + "step": 1893 + }, + { + "epoch": 0.82, + "learning_rate": 2.7253775087034117e-06, + "loss": 1.0015, + "step": 1894 + }, + { + "epoch": 0.82, + "learning_rate": 2.7250809832173856e-06, + "loss": 0.7056, + "step": 1895 + }, + { + "epoch": 0.82, + "learning_rate": 2.7247843138795504e-06, + "loss": 0.7337, + "step": 1896 + }, + { + "epoch": 0.82, + "learning_rate": 2.7244875007247403e-06, + "loss": 0.9497, + "step": 1897 + }, + { + "epoch": 0.82, + "learning_rate": 2.724190543787809e-06, + "loss": 1.2138, + "step": 1898 + }, + { + "epoch": 0.82, + "learning_rate": 2.7238934431036247e-06, + "loss": 0.9988, + "step": 1899 + }, + { + "epoch": 0.82, + "learning_rate": 2.723596198707074e-06, + "loss": 1.0154, + "step": 1900 + }, + { + "epoch": 0.82, + "learning_rate": 2.723298810633061e-06, + "loss": 1.0931, + "step": 1901 + }, + { + "epoch": 0.82, + "learning_rate": 2.7230012789165047e-06, + "loss": 1.4181, + "step": 1902 + }, + { + "epoch": 0.82, + "learning_rate": 2.722703603592342e-06, + "loss": 0.9521, + "step": 1903 + }, + { + "epoch": 0.82, + "learning_rate": 2.7224057846955265e-06, + "loss": 0.7826, + "step": 1904 + }, + { + "epoch": 0.82, + "learning_rate": 2.7221078222610297e-06, + "loss": 1.0808, + "step": 1905 + }, + { + "epoch": 0.82, + "learning_rate": 2.721809716323838e-06, + "loss": 1.0451, + "step": 1906 + }, + { + "epoch": 0.82, + "learning_rate": 2.7215114669189558e-06, + "loss": 0.9624, + "step": 1907 + }, + { + "epoch": 0.82, + "learning_rate": 2.721213074081405e-06, + "loss": 1.0258, + "step": 1908 + }, + { + "epoch": 0.82, + "learning_rate": 2.720914537846223e-06, + "loss": 1.032, + "step": 1909 + }, + { + "epoch": 0.82, + "learning_rate": 2.7206158582484644e-06, + "loss": 0.652, + "step": 1910 + }, + { + "epoch": 0.82, + "learning_rate": 2.7203170353232016e-06, + "loss": 1.0965, + "step": 1911 + }, + { + "epoch": 0.83, + "learning_rate": 2.720018069105522e-06, + "loss": 1.3741, + "step": 1912 + }, + { + "epoch": 0.83, + "learning_rate": 2.719718959630532e-06, + "loss": 0.7909, + "step": 1913 + }, + { + "epoch": 0.83, + "learning_rate": 2.7194197069333527e-06, + "loss": 1.2275, + "step": 1914 + }, + { + "epoch": 0.83, + "learning_rate": 2.719120311049124e-06, + "loss": 0.7889, + "step": 1915 + }, + { + "epoch": 0.83, + "learning_rate": 2.718820772013001e-06, + "loss": 0.7991, + "step": 1916 + }, + { + "epoch": 0.83, + "learning_rate": 2.7185210898601565e-06, + "loss": 0.8762, + "step": 1917 + }, + { + "epoch": 0.83, + "learning_rate": 2.71822126462578e-06, + "loss": 1.0042, + "step": 1918 + }, + { + "epoch": 0.83, + "learning_rate": 2.7179212963450774e-06, + "loss": 1.1289, + "step": 1919 + }, + { + "epoch": 0.83, + "learning_rate": 2.7176211850532717e-06, + "loss": 0.7883, + "step": 1920 + }, + { + "epoch": 0.83, + "learning_rate": 2.7173209307856024e-06, + "loss": 1.0623, + "step": 1921 + }, + { + "epoch": 0.83, + "learning_rate": 2.7170205335773265e-06, + "loss": 1.1571, + "step": 1922 + }, + { + "epoch": 0.83, + "learning_rate": 2.7167199934637173e-06, + "loss": 1.0592, + "step": 1923 + }, + { + "epoch": 0.83, + "learning_rate": 2.7164193104800647e-06, + "loss": 1.1184, + "step": 1924 + }, + { + "epoch": 0.83, + "learning_rate": 2.7161184846616753e-06, + "loss": 0.9249, + "step": 1925 + }, + { + "epoch": 0.83, + "learning_rate": 2.7158175160438733e-06, + "loss": 1.2249, + "step": 1926 + }, + { + "epoch": 0.83, + "learning_rate": 2.7155164046619997e-06, + "loss": 0.8732, + "step": 1927 + }, + { + "epoch": 0.83, + "learning_rate": 2.71521515055141e-06, + "loss": 0.8809, + "step": 1928 + }, + { + "epoch": 0.83, + "learning_rate": 2.714913753747479e-06, + "loss": 1.3511, + "step": 1929 + }, + { + "epoch": 0.83, + "learning_rate": 2.7146122142855978e-06, + "loss": 0.8619, + "step": 1930 + }, + { + "epoch": 0.83, + "learning_rate": 2.714310532201174e-06, + "loss": 1.0753, + "step": 1931 + }, + { + "epoch": 0.83, + "learning_rate": 2.7140087075296308e-06, + "loss": 0.985, + "step": 1932 + }, + { + "epoch": 0.83, + "learning_rate": 2.7137067403064098e-06, + "loss": 1.0868, + "step": 1933 + }, + { + "epoch": 0.83, + "learning_rate": 2.713404630566968e-06, + "loss": 0.8237, + "step": 1934 + }, + { + "epoch": 0.84, + "learning_rate": 2.713102378346781e-06, + "loss": 1.4431, + "step": 1935 + }, + { + "epoch": 0.84, + "learning_rate": 2.7127999836813395e-06, + "loss": 0.6948, + "step": 1936 + }, + { + "epoch": 0.84, + "learning_rate": 2.712497446606151e-06, + "loss": 0.8903, + "step": 1937 + }, + { + "epoch": 0.84, + "learning_rate": 2.71219476715674e-06, + "loss": 0.7675, + "step": 1938 + }, + { + "epoch": 0.84, + "learning_rate": 2.711891945368648e-06, + "loss": 0.8686, + "step": 1939 + }, + { + "epoch": 0.84, + "learning_rate": 2.711588981277433e-06, + "loss": 0.746, + "step": 1940 + }, + { + "epoch": 0.84, + "learning_rate": 2.71128587491867e-06, + "loss": 1.0857, + "step": 1941 + }, + { + "epoch": 0.84, + "learning_rate": 2.710982626327951e-06, + "loss": 0.9255, + "step": 1942 + }, + { + "epoch": 0.84, + "learning_rate": 2.7106792355408825e-06, + "loss": 0.9048, + "step": 1943 + }, + { + "epoch": 0.84, + "learning_rate": 2.710375702593091e-06, + "loss": 0.8696, + "step": 1944 + }, + { + "epoch": 0.84, + "learning_rate": 2.7100720275202167e-06, + "loss": 0.6697, + "step": 1945 + }, + { + "epoch": 0.84, + "learning_rate": 2.709768210357919e-06, + "loss": 0.929, + "step": 1946 + }, + { + "epoch": 0.84, + "learning_rate": 2.7094642511418718e-06, + "loss": 1.0113, + "step": 1947 + }, + { + "epoch": 0.84, + "learning_rate": 2.709160149907767e-06, + "loss": 1.1814, + "step": 1948 + }, + { + "epoch": 0.84, + "learning_rate": 2.708855906691313e-06, + "loss": 1.065, + "step": 1949 + }, + { + "epoch": 0.84, + "learning_rate": 2.708551521528235e-06, + "loss": 1.0298, + "step": 1950 + }, + { + "epoch": 0.84, + "learning_rate": 2.708246994454274e-06, + "loss": 0.6606, + "step": 1951 + }, + { + "epoch": 0.84, + "learning_rate": 2.707942325505189e-06, + "loss": 1.149, + "step": 1952 + }, + { + "epoch": 0.84, + "learning_rate": 2.7076375147167547e-06, + "loss": 0.8169, + "step": 1953 + }, + { + "epoch": 0.84, + "learning_rate": 2.707332562124762e-06, + "loss": 0.9538, + "step": 1954 + }, + { + "epoch": 0.84, + "learning_rate": 2.7070274677650197e-06, + "loss": 0.9312, + "step": 1955 + }, + { + "epoch": 0.84, + "learning_rate": 2.7067222316733528e-06, + "loss": 0.8729, + "step": 1956 + }, + { + "epoch": 0.84, + "learning_rate": 2.7064168538856027e-06, + "loss": 1.2598, + "step": 1957 + }, + { + "epoch": 0.85, + "learning_rate": 2.706111334437627e-06, + "loss": 0.6996, + "step": 1958 + }, + { + "epoch": 0.85, + "learning_rate": 2.7058056733653013e-06, + "loss": 0.9727, + "step": 1959 + }, + { + "epoch": 0.85, + "learning_rate": 2.7054998707045166e-06, + "loss": 0.8095, + "step": 1960 + }, + { + "epoch": 0.85, + "learning_rate": 2.705193926491181e-06, + "loss": 1.2524, + "step": 1961 + }, + { + "epoch": 0.85, + "learning_rate": 2.7048878407612193e-06, + "loss": 0.9796, + "step": 1962 + }, + { + "epoch": 0.85, + "learning_rate": 2.7045816135505727e-06, + "loss": 1.0064, + "step": 1963 + }, + { + "epoch": 0.85, + "learning_rate": 2.704275244895199e-06, + "loss": 0.8951, + "step": 1964 + }, + { + "epoch": 0.85, + "learning_rate": 2.703968734831073e-06, + "loss": 1.1799, + "step": 1965 + }, + { + "epoch": 0.85, + "learning_rate": 2.703662083394185e-06, + "loss": 0.9532, + "step": 1966 + }, + { + "epoch": 0.85, + "learning_rate": 2.703355290620544e-06, + "loss": 0.8608, + "step": 1967 + }, + { + "epoch": 0.85, + "learning_rate": 2.7030483565461735e-06, + "loss": 0.9227, + "step": 1968 + }, + { + "epoch": 0.85, + "learning_rate": 2.702741281207114e-06, + "loss": 0.8588, + "step": 1969 + }, + { + "epoch": 0.85, + "learning_rate": 2.702434064639424e-06, + "loss": 0.7552, + "step": 1970 + }, + { + "epoch": 0.85, + "learning_rate": 2.702126706879177e-06, + "loss": 1.0536, + "step": 1971 + }, + { + "epoch": 0.85, + "learning_rate": 2.701819207962464e-06, + "loss": 0.8168, + "step": 1972 + }, + { + "epoch": 0.85, + "learning_rate": 2.701511567925392e-06, + "loss": 1.0226, + "step": 1973 + }, + { + "epoch": 0.85, + "learning_rate": 2.701203786804084e-06, + "loss": 0.9292, + "step": 1974 + }, + { + "epoch": 0.85, + "learning_rate": 2.7008958646346823e-06, + "loss": 0.9661, + "step": 1975 + }, + { + "epoch": 0.85, + "learning_rate": 2.7005878014533415e-06, + "loss": 1.5104, + "step": 1976 + }, + { + "epoch": 0.85, + "learning_rate": 2.700279597296237e-06, + "loss": 0.9093, + "step": 1977 + }, + { + "epoch": 0.85, + "learning_rate": 2.6999712521995575e-06, + "loss": 1.1781, + "step": 1978 + }, + { + "epoch": 0.85, + "learning_rate": 2.6996627661995106e-06, + "loss": 0.985, + "step": 1979 + }, + { + "epoch": 0.85, + "learning_rate": 2.699354139332319e-06, + "loss": 0.8081, + "step": 1980 + }, + { + "epoch": 0.85, + "learning_rate": 2.699045371634222e-06, + "loss": 0.873, + "step": 1981 + }, + { + "epoch": 0.86, + "learning_rate": 2.698736463141477e-06, + "loss": 0.7166, + "step": 1982 + }, + { + "epoch": 0.86, + "learning_rate": 2.698427413890355e-06, + "loss": 0.845, + "step": 1983 + }, + { + "epoch": 0.86, + "learning_rate": 2.6981182239171463e-06, + "loss": 1.2687, + "step": 1984 + }, + { + "epoch": 0.86, + "learning_rate": 2.697808893258157e-06, + "loss": 0.8495, + "step": 1985 + }, + { + "epoch": 0.86, + "learning_rate": 2.697499421949709e-06, + "loss": 0.9271, + "step": 1986 + }, + { + "epoch": 0.86, + "learning_rate": 2.6971898100281404e-06, + "loss": 0.7909, + "step": 1987 + }, + { + "epoch": 0.86, + "learning_rate": 2.696880057529808e-06, + "loss": 1.0804, + "step": 1988 + }, + { + "epoch": 0.86, + "learning_rate": 2.696570164491083e-06, + "loss": 1.0022, + "step": 1989 + }, + { + "epoch": 0.86, + "learning_rate": 2.696260130948353e-06, + "loss": 0.7756, + "step": 1990 + }, + { + "epoch": 0.86, + "learning_rate": 2.695949956938024e-06, + "loss": 1.0455, + "step": 1991 + }, + { + "epoch": 0.86, + "learning_rate": 2.6956396424965164e-06, + "loss": 1.0787, + "step": 1992 + }, + { + "epoch": 0.86, + "learning_rate": 2.695329187660269e-06, + "loss": 0.9612, + "step": 1993 + }, + { + "epoch": 0.86, + "learning_rate": 2.6950185924657353e-06, + "loss": 0.9604, + "step": 1994 + }, + { + "epoch": 0.86, + "learning_rate": 2.694707856949386e-06, + "loss": 1.0158, + "step": 1995 + }, + { + "epoch": 0.86, + "learning_rate": 2.6943969811477098e-06, + "loss": 1.0468, + "step": 1996 + }, + { + "epoch": 0.86, + "learning_rate": 2.6940859650972084e-06, + "loss": 0.721, + "step": 1997 + }, + { + "epoch": 0.86, + "learning_rate": 2.6937748088344037e-06, + "loss": 0.9034, + "step": 1998 + }, + { + "epoch": 0.86, + "learning_rate": 2.693463512395831e-06, + "loss": 0.8115, + "step": 1999 + }, + { + "epoch": 0.86, + "learning_rate": 2.6931520758180447e-06, + "loss": 1.0163, + "step": 2000 + }, + { + "epoch": 0.86, + "learning_rate": 2.6928404991376136e-06, + "loss": 0.5858, + "step": 2001 + }, + { + "epoch": 0.86, + "learning_rate": 2.6925287823911243e-06, + "loss": 0.9527, + "step": 2002 + }, + { + "epoch": 0.86, + "learning_rate": 2.6922169256151786e-06, + "loss": 1.3955, + "step": 2003 + }, + { + "epoch": 0.86, + "learning_rate": 2.6919049288463965e-06, + "loss": 1.107, + "step": 2004 + }, + { + "epoch": 0.87, + "learning_rate": 2.691592792121412e-06, + "loss": 0.8169, + "step": 2005 + }, + { + "epoch": 0.87, + "learning_rate": 2.691280515476878e-06, + "loss": 1.0497, + "step": 2006 + }, + { + "epoch": 0.87, + "learning_rate": 2.6909680989494615e-06, + "loss": 1.0604, + "step": 2007 + }, + { + "epoch": 0.87, + "learning_rate": 2.690655542575849e-06, + "loss": 0.6519, + "step": 2008 + }, + { + "epoch": 0.87, + "learning_rate": 2.69034284639274e-06, + "loss": 1.2187, + "step": 2009 + }, + { + "epoch": 0.87, + "learning_rate": 2.690030010436853e-06, + "loss": 1.1361, + "step": 2010 + }, + { + "epoch": 0.87, + "learning_rate": 2.689717034744921e-06, + "loss": 0.9057, + "step": 2011 + }, + { + "epoch": 0.87, + "learning_rate": 2.689403919353695e-06, + "loss": 1.1232, + "step": 2012 + }, + { + "epoch": 0.87, + "learning_rate": 2.689090664299942e-06, + "loss": 1.0093, + "step": 2013 + }, + { + "epoch": 0.87, + "learning_rate": 2.688777269620444e-06, + "loss": 1.1549, + "step": 2014 + }, + { + "epoch": 0.87, + "learning_rate": 2.688463735352002e-06, + "loss": 0.9776, + "step": 2015 + }, + { + "epoch": 0.87, + "learning_rate": 2.68815006153143e-06, + "loss": 0.873, + "step": 2016 + }, + { + "epoch": 0.87, + "learning_rate": 2.6878362481955622e-06, + "loss": 0.8479, + "step": 2017 + }, + { + "epoch": 0.87, + "learning_rate": 2.6875222953812463e-06, + "loss": 1.1072, + "step": 2018 + }, + { + "epoch": 0.87, + "learning_rate": 2.6872082031253474e-06, + "loss": 0.985, + "step": 2019 + }, + { + "epoch": 0.87, + "learning_rate": 2.6868939714647474e-06, + "loss": 1.1142, + "step": 2020 + }, + { + "epoch": 0.87, + "learning_rate": 2.6865796004363435e-06, + "loss": 0.8956, + "step": 2021 + }, + { + "epoch": 0.87, + "learning_rate": 2.68626509007705e-06, + "loss": 0.9482, + "step": 2022 + }, + { + "epoch": 0.87, + "learning_rate": 2.6859504404237977e-06, + "loss": 0.6568, + "step": 2023 + }, + { + "epoch": 0.87, + "learning_rate": 2.6856356515135332e-06, + "loss": 0.8457, + "step": 2024 + }, + { + "epoch": 0.87, + "learning_rate": 2.6853207233832204e-06, + "loss": 0.7659, + "step": 2025 + }, + { + "epoch": 0.87, + "learning_rate": 2.6850056560698378e-06, + "loss": 0.9364, + "step": 2026 + }, + { + "epoch": 0.87, + "learning_rate": 2.6846904496103816e-06, + "loss": 0.9814, + "step": 2027 + }, + { + "epoch": 0.88, + "learning_rate": 2.684375104041865e-06, + "loss": 0.8315, + "step": 2028 + }, + { + "epoch": 0.88, + "learning_rate": 2.6840596194013157e-06, + "loss": 1.1382, + "step": 2029 + }, + { + "epoch": 0.88, + "learning_rate": 2.6837439957257788e-06, + "loss": 1.0329, + "step": 2030 + }, + { + "epoch": 0.88, + "learning_rate": 2.6834282330523155e-06, + "loss": 0.5192, + "step": 2031 + }, + { + "epoch": 0.88, + "learning_rate": 2.6831123314180037e-06, + "loss": 1.0404, + "step": 2032 + }, + { + "epoch": 0.88, + "learning_rate": 2.6827962908599373e-06, + "loss": 0.872, + "step": 2033 + }, + { + "epoch": 0.88, + "learning_rate": 2.682480111415226e-06, + "loss": 0.9305, + "step": 2034 + }, + { + "epoch": 0.88, + "learning_rate": 2.6821637931209967e-06, + "loss": 1.0438, + "step": 2035 + }, + { + "epoch": 0.88, + "learning_rate": 2.681847336014392e-06, + "loss": 1.3164, + "step": 2036 + }, + { + "epoch": 0.88, + "learning_rate": 2.6815307401325714e-06, + "loss": 0.9595, + "step": 2037 + }, + { + "epoch": 0.88, + "learning_rate": 2.6812140055127096e-06, + "loss": 0.9813, + "step": 2038 + }, + { + "epoch": 0.88, + "learning_rate": 2.680897132191999e-06, + "loss": 1.0394, + "step": 2039 + }, + { + "epoch": 0.88, + "learning_rate": 2.6805801202076473e-06, + "loss": 0.995, + "step": 2040 + }, + { + "epoch": 0.88, + "learning_rate": 2.680262969596879e-06, + "loss": 0.9909, + "step": 2041 + }, + { + "epoch": 0.88, + "learning_rate": 2.679945680396934e-06, + "loss": 1.1155, + "step": 2042 + }, + { + "epoch": 0.88, + "learning_rate": 2.6796282526450704e-06, + "loss": 0.7887, + "step": 2043 + }, + { + "epoch": 0.88, + "learning_rate": 2.6793106863785593e-06, + "loss": 0.8834, + "step": 2044 + }, + { + "epoch": 0.88, + "learning_rate": 2.678992981634692e-06, + "loss": 0.9346, + "step": 2045 + }, + { + "epoch": 0.88, + "learning_rate": 2.6786751384507737e-06, + "loss": 0.9814, + "step": 2046 + }, + { + "epoch": 0.88, + "learning_rate": 2.6783571568641253e-06, + "loss": 0.8506, + "step": 2047 + }, + { + "epoch": 0.88, + "learning_rate": 2.6780390369120853e-06, + "loss": 0.9794, + "step": 2048 + }, + { + "epoch": 0.88, + "learning_rate": 2.677720778632009e-06, + "loss": 0.9644, + "step": 2049 + }, + { + "epoch": 0.88, + "learning_rate": 2.677402382061266e-06, + "loss": 1.1777, + "step": 2050 + }, + { + "epoch": 0.89, + "learning_rate": 2.6770838472372435e-06, + "loss": 1.2116, + "step": 2051 + }, + { + "epoch": 0.89, + "learning_rate": 2.6767651741973447e-06, + "loss": 0.7848, + "step": 2052 + }, + { + "epoch": 0.89, + "learning_rate": 2.6764463629789886e-06, + "loss": 0.9325, + "step": 2053 + }, + { + "epoch": 0.89, + "learning_rate": 2.6761274136196113e-06, + "loss": 0.842, + "step": 2054 + }, + { + "epoch": 0.89, + "learning_rate": 2.675808326156664e-06, + "loss": 1.1416, + "step": 2055 + }, + { + "epoch": 0.89, + "learning_rate": 2.6754891006276145e-06, + "loss": 1.0791, + "step": 2056 + }, + { + "epoch": 0.89, + "learning_rate": 2.675169737069948e-06, + "loss": 0.7869, + "step": 2057 + }, + { + "epoch": 0.89, + "learning_rate": 2.6748502355211637e-06, + "loss": 0.9751, + "step": 2058 + }, + { + "epoch": 0.89, + "learning_rate": 2.674530596018779e-06, + "loss": 1.0784, + "step": 2059 + }, + { + "epoch": 0.89, + "learning_rate": 2.6742108186003264e-06, + "loss": 0.8685, + "step": 2060 + }, + { + "epoch": 0.89, + "learning_rate": 2.6738909033033556e-06, + "loss": 1.3684, + "step": 2061 + }, + { + "epoch": 0.89, + "learning_rate": 2.6735708501654307e-06, + "loss": 1.1059, + "step": 2062 + }, + { + "epoch": 0.89, + "learning_rate": 2.673250659224133e-06, + "loss": 1.1162, + "step": 2063 + }, + { + "epoch": 0.89, + "learning_rate": 2.6729303305170615e-06, + "loss": 0.9774, + "step": 2064 + }, + { + "epoch": 0.89, + "learning_rate": 2.6726098640818283e-06, + "loss": 0.9169, + "step": 2065 + }, + { + "epoch": 0.89, + "learning_rate": 2.6722892599560642e-06, + "loss": 1.1151, + "step": 2066 + }, + { + "epoch": 0.89, + "learning_rate": 2.6719685181774152e-06, + "loss": 0.9881, + "step": 2067 + }, + { + "epoch": 0.89, + "learning_rate": 2.6716476387835434e-06, + "loss": 0.8807, + "step": 2068 + }, + { + "epoch": 0.89, + "learning_rate": 2.671326621812127e-06, + "loss": 0.8397, + "step": 2069 + }, + { + "epoch": 0.89, + "learning_rate": 2.671005467300861e-06, + "loss": 1.1132, + "step": 2070 + }, + { + "epoch": 0.89, + "learning_rate": 2.670684175287456e-06, + "loss": 0.8446, + "step": 2071 + }, + { + "epoch": 0.89, + "learning_rate": 2.6703627458096383e-06, + "loss": 0.9369, + "step": 2072 + }, + { + "epoch": 0.89, + "learning_rate": 2.670041178905151e-06, + "loss": 0.8336, + "step": 2073 + }, + { + "epoch": 0.9, + "learning_rate": 2.669719474611754e-06, + "loss": 1.0781, + "step": 2074 + }, + { + "epoch": 0.9, + "learning_rate": 2.669397632967222e-06, + "loss": 1.1276, + "step": 2075 + }, + { + "epoch": 0.9, + "learning_rate": 2.6690756540093466e-06, + "loss": 4.9433, + "step": 2076 + }, + { + "epoch": 0.9, + "learning_rate": 2.6687535377759344e-06, + "loss": 0.676, + "step": 2077 + }, + { + "epoch": 0.9, + "learning_rate": 2.6684312843048104e-06, + "loss": 1.1092, + "step": 2078 + }, + { + "epoch": 0.9, + "learning_rate": 2.668108893633814e-06, + "loss": 0.8805, + "step": 2079 + }, + { + "epoch": 0.9, + "learning_rate": 2.6677863658008e-06, + "loss": 0.769, + "step": 2080 + }, + { + "epoch": 0.9, + "learning_rate": 2.6674637008436413e-06, + "loss": 0.904, + "step": 2081 + }, + { + "epoch": 0.9, + "learning_rate": 2.667140898800226e-06, + "loss": 0.9438, + "step": 2082 + }, + { + "epoch": 0.9, + "learning_rate": 2.666817959708458e-06, + "loss": 0.8002, + "step": 2083 + }, + { + "epoch": 0.9, + "learning_rate": 2.6664948836062575e-06, + "loss": 0.6627, + "step": 2084 + }, + { + "epoch": 0.9, + "learning_rate": 2.666171670531561e-06, + "loss": 0.955, + "step": 2085 + }, + { + "epoch": 0.9, + "learning_rate": 2.6658483205223202e-06, + "loss": 1.0154, + "step": 2086 + }, + { + "epoch": 0.9, + "learning_rate": 2.665524833616505e-06, + "loss": 0.887, + "step": 2087 + }, + { + "epoch": 0.9, + "learning_rate": 2.665201209852099e-06, + "loss": 0.9935, + "step": 2088 + }, + { + "epoch": 0.9, + "learning_rate": 2.6648774492671025e-06, + "loss": 0.9822, + "step": 2089 + }, + { + "epoch": 0.9, + "learning_rate": 2.6645535518995334e-06, + "loss": 1.1637, + "step": 2090 + }, + { + "epoch": 0.9, + "learning_rate": 2.6642295177874235e-06, + "loss": 1.2246, + "step": 2091 + }, + { + "epoch": 0.9, + "learning_rate": 2.6639053469688216e-06, + "loss": 0.8671, + "step": 2092 + }, + { + "epoch": 0.9, + "learning_rate": 2.6635810394817933e-06, + "loss": 0.9071, + "step": 2093 + }, + { + "epoch": 0.9, + "learning_rate": 2.663256595364419e-06, + "loss": 1.1611, + "step": 2094 + }, + { + "epoch": 0.9, + "learning_rate": 2.662932014654796e-06, + "loss": 0.9294, + "step": 2095 + }, + { + "epoch": 0.9, + "learning_rate": 2.6626072973910372e-06, + "loss": 1.3707, + "step": 2096 + }, + { + "epoch": 0.91, + "learning_rate": 2.6622824436112713e-06, + "loss": 1.0313, + "step": 2097 + }, + { + "epoch": 0.91, + "learning_rate": 2.6619574533536437e-06, + "loss": 0.9005, + "step": 2098 + }, + { + "epoch": 0.91, + "learning_rate": 2.6616323266563152e-06, + "loss": 0.8663, + "step": 2099 + }, + { + "epoch": 0.91, + "learning_rate": 2.661307063557464e-06, + "loss": 0.7249, + "step": 2100 + }, + { + "epoch": 0.91, + "learning_rate": 2.660981664095281e-06, + "loss": 0.9924, + "step": 2101 + }, + { + "epoch": 0.91, + "learning_rate": 2.6606561283079777e-06, + "loss": 0.9157, + "step": 2102 + }, + { + "epoch": 0.91, + "learning_rate": 2.6603304562337782e-06, + "loss": 0.9306, + "step": 2103 + }, + { + "epoch": 0.91, + "learning_rate": 2.6600046479109238e-06, + "loss": 0.8414, + "step": 2104 + }, + { + "epoch": 0.91, + "learning_rate": 2.6596787033776713e-06, + "loss": 1.1335, + "step": 2105 + }, + { + "epoch": 0.91, + "learning_rate": 2.659352622672294e-06, + "loss": 1.1213, + "step": 2106 + }, + { + "epoch": 0.91, + "learning_rate": 2.6590264058330817e-06, + "loss": 0.8544, + "step": 2107 + }, + { + "epoch": 0.91, + "learning_rate": 2.658700052898339e-06, + "loss": 0.7937, + "step": 2108 + }, + { + "epoch": 0.91, + "learning_rate": 2.6583735639063864e-06, + "loss": 0.8076, + "step": 2109 + }, + { + "epoch": 0.91, + "learning_rate": 2.658046938895562e-06, + "loss": 0.9482, + "step": 2110 + }, + { + "epoch": 0.91, + "learning_rate": 2.6577201779042185e-06, + "loss": 0.8815, + "step": 2111 + }, + { + "epoch": 0.91, + "learning_rate": 2.6573932809707255e-06, + "loss": 1.0836, + "step": 2112 + }, + { + "epoch": 0.91, + "learning_rate": 2.657066248133467e-06, + "loss": 0.9827, + "step": 2113 + }, + { + "epoch": 0.91, + "learning_rate": 2.656739079430844e-06, + "loss": 0.9745, + "step": 2114 + }, + { + "epoch": 0.91, + "learning_rate": 2.656411774901274e-06, + "loss": 0.8799, + "step": 2115 + }, + { + "epoch": 0.91, + "learning_rate": 2.6560843345831894e-06, + "loss": 1.0267, + "step": 2116 + }, + { + "epoch": 0.91, + "learning_rate": 2.6557567585150393e-06, + "loss": 1.1237, + "step": 2117 + }, + { + "epoch": 0.91, + "learning_rate": 2.6554290467352883e-06, + "loss": 1.1161, + "step": 2118 + }, + { + "epoch": 0.91, + "learning_rate": 2.655101199282417e-06, + "loss": 0.8325, + "step": 2119 + }, + { + "epoch": 0.91, + "learning_rate": 2.6547732161949216e-06, + "loss": 0.8781, + "step": 2120 + }, + { + "epoch": 0.92, + "learning_rate": 2.6544450975113156e-06, + "loss": 0.7878, + "step": 2121 + }, + { + "epoch": 0.92, + "learning_rate": 2.6541168432701268e-06, + "loss": 0.8653, + "step": 2122 + }, + { + "epoch": 0.92, + "learning_rate": 2.6537884535099e-06, + "loss": 1.0191, + "step": 2123 + }, + { + "epoch": 0.92, + "learning_rate": 2.6534599282691947e-06, + "loss": 1.1653, + "step": 2124 + }, + { + "epoch": 0.92, + "learning_rate": 2.6531312675865878e-06, + "loss": 1.1129, + "step": 2125 + }, + { + "epoch": 0.92, + "learning_rate": 2.652802471500671e-06, + "loss": 1.0294, + "step": 2126 + }, + { + "epoch": 0.92, + "learning_rate": 2.6524735400500526e-06, + "loss": 0.9714, + "step": 2127 + }, + { + "epoch": 0.92, + "learning_rate": 2.6521444732733564e-06, + "loss": 0.9569, + "step": 2128 + }, + { + "epoch": 0.92, + "learning_rate": 2.651815271209222e-06, + "loss": 0.9163, + "step": 2129 + }, + { + "epoch": 0.92, + "learning_rate": 2.651485933896305e-06, + "loss": 1.0002, + "step": 2130 + }, + { + "epoch": 0.92, + "learning_rate": 2.6511564613732773e-06, + "loss": 0.7774, + "step": 2131 + }, + { + "epoch": 0.92, + "learning_rate": 2.6508268536788257e-06, + "loss": 0.9512, + "step": 2132 + }, + { + "epoch": 0.92, + "learning_rate": 2.6504971108516545e-06, + "loss": 0.8072, + "step": 2133 + }, + { + "epoch": 0.92, + "learning_rate": 2.6501672329304816e-06, + "loss": 0.899, + "step": 2134 + }, + { + "epoch": 0.92, + "learning_rate": 2.649837219954043e-06, + "loss": 0.9938, + "step": 2135 + }, + { + "epoch": 0.92, + "learning_rate": 2.6495070719610895e-06, + "loss": 1.0826, + "step": 2136 + }, + { + "epoch": 0.92, + "learning_rate": 2.649176788990387e-06, + "loss": 1.3658, + "step": 2137 + }, + { + "epoch": 0.92, + "learning_rate": 2.648846371080719e-06, + "loss": 1.0896, + "step": 2138 + }, + { + "epoch": 0.92, + "learning_rate": 2.6485158182708834e-06, + "loss": 0.9479, + "step": 2139 + }, + { + "epoch": 0.92, + "learning_rate": 2.6481851305996946e-06, + "loss": 0.9685, + "step": 2140 + }, + { + "epoch": 0.92, + "learning_rate": 2.6478543081059832e-06, + "loss": 1.0831, + "step": 2141 + }, + { + "epoch": 0.92, + "learning_rate": 2.647523350828594e-06, + "loss": 1.0332, + "step": 2142 + }, + { + "epoch": 0.92, + "learning_rate": 2.64719225880639e-06, + "loss": 0.7812, + "step": 2143 + }, + { + "epoch": 0.93, + "learning_rate": 2.646861032078248e-06, + "loss": 0.8437, + "step": 2144 + }, + { + "epoch": 0.93, + "learning_rate": 2.646529670683062e-06, + "loss": 0.965, + "step": 2145 + }, + { + "epoch": 0.93, + "learning_rate": 2.646198174659741e-06, + "loss": 1.1639, + "step": 2146 + }, + { + "epoch": 0.93, + "learning_rate": 2.645866544047209e-06, + "loss": 1.0476, + "step": 2147 + }, + { + "epoch": 0.93, + "learning_rate": 2.6455347788844083e-06, + "loss": 1.093, + "step": 2148 + }, + { + "epoch": 0.93, + "learning_rate": 2.6452028792102946e-06, + "loss": 0.9949, + "step": 2149 + }, + { + "epoch": 0.93, + "learning_rate": 2.6448708450638408e-06, + "loss": 0.7234, + "step": 2150 + }, + { + "epoch": 0.93, + "learning_rate": 2.6445386764840352e-06, + "loss": 0.9393, + "step": 2151 + }, + { + "epoch": 0.93, + "learning_rate": 2.644206373509881e-06, + "loss": 1.1871, + "step": 2152 + }, + { + "epoch": 0.93, + "learning_rate": 2.6438739361803986e-06, + "loss": 1.0066, + "step": 2153 + }, + { + "epoch": 0.93, + "learning_rate": 2.6435413645346238e-06, + "loss": 0.8484, + "step": 2154 + }, + { + "epoch": 0.93, + "learning_rate": 2.643208658611607e-06, + "loss": 1.1043, + "step": 2155 + }, + { + "epoch": 0.93, + "learning_rate": 2.642875818450417e-06, + "loss": 0.7788, + "step": 2156 + }, + { + "epoch": 0.93, + "learning_rate": 2.6425428440901346e-06, + "loss": 1.1388, + "step": 2157 + }, + { + "epoch": 0.93, + "learning_rate": 2.642209735569859e-06, + "loss": 0.7959, + "step": 2158 + }, + { + "epoch": 0.93, + "learning_rate": 2.6418764929287055e-06, + "loss": 0.631, + "step": 2159 + }, + { + "epoch": 0.93, + "learning_rate": 2.6415431162058038e-06, + "loss": 0.7646, + "step": 2160 + }, + { + "epoch": 0.93, + "learning_rate": 2.641209605440299e-06, + "loss": 0.9306, + "step": 2161 + }, + { + "epoch": 0.93, + "learning_rate": 2.6408759606713537e-06, + "loss": 0.6788, + "step": 2162 + }, + { + "epoch": 0.93, + "learning_rate": 2.640542181938145e-06, + "loss": 0.8163, + "step": 2163 + }, + { + "epoch": 0.93, + "learning_rate": 2.640208269279865e-06, + "loss": 1.0438, + "step": 2164 + }, + { + "epoch": 0.93, + "learning_rate": 2.639874222735724e-06, + "loss": 1.0853, + "step": 2165 + }, + { + "epoch": 0.93, + "learning_rate": 2.639540042344945e-06, + "loss": 1.0671, + "step": 2166 + }, + { + "epoch": 0.94, + "learning_rate": 2.6392057281467693e-06, + "loss": 0.9891, + "step": 2167 + }, + { + "epoch": 0.94, + "learning_rate": 2.6388712801804526e-06, + "loss": 0.6334, + "step": 2168 + }, + { + "epoch": 0.94, + "learning_rate": 2.6385366984852666e-06, + "loss": 0.9395, + "step": 2169 + }, + { + "epoch": 0.94, + "learning_rate": 2.6382019831004984e-06, + "loss": 0.8579, + "step": 2170 + }, + { + "epoch": 0.94, + "learning_rate": 2.6378671340654513e-06, + "loss": 1.0561, + "step": 2171 + }, + { + "epoch": 0.94, + "learning_rate": 2.6375321514194435e-06, + "loss": 0.7974, + "step": 2172 + }, + { + "epoch": 0.94, + "learning_rate": 2.6371970352018105e-06, + "loss": 1.5158, + "step": 2173 + }, + { + "epoch": 0.94, + "learning_rate": 2.636861785451901e-06, + "loss": 0.9171, + "step": 2174 + }, + { + "epoch": 0.94, + "learning_rate": 2.636526402209082e-06, + "loss": 1.0135, + "step": 2175 + }, + { + "epoch": 0.94, + "learning_rate": 2.6361908855127337e-06, + "loss": 0.9125, + "step": 2176 + }, + { + "epoch": 0.94, + "learning_rate": 2.635855235402255e-06, + "loss": 0.9657, + "step": 2177 + }, + { + "epoch": 0.94, + "learning_rate": 2.6355194519170575e-06, + "loss": 1.1745, + "step": 2178 + }, + { + "epoch": 0.94, + "learning_rate": 2.6351835350965697e-06, + "loss": 0.991, + "step": 2179 + }, + { + "epoch": 0.94, + "learning_rate": 2.634847484980236e-06, + "loss": 0.9239, + "step": 2180 + }, + { + "epoch": 0.94, + "learning_rate": 2.6345113016075163e-06, + "loss": 0.8767, + "step": 2181 + }, + { + "epoch": 0.94, + "learning_rate": 2.634174985017886e-06, + "loss": 1.0092, + "step": 2182 + }, + { + "epoch": 0.94, + "learning_rate": 2.6338385352508355e-06, + "loss": 1.4239, + "step": 2183 + }, + { + "epoch": 0.94, + "learning_rate": 2.6335019523458717e-06, + "loss": 1.1679, + "step": 2184 + }, + { + "epoch": 0.94, + "learning_rate": 2.633165236342518e-06, + "loss": 1.0639, + "step": 2185 + }, + { + "epoch": 0.94, + "learning_rate": 2.632828387280311e-06, + "loss": 1.1103, + "step": 2186 + }, + { + "epoch": 0.94, + "learning_rate": 2.632491405198805e-06, + "loss": 0.7895, + "step": 2187 + }, + { + "epoch": 0.94, + "learning_rate": 2.6321542901375687e-06, + "loss": 0.7543, + "step": 2188 + }, + { + "epoch": 0.94, + "learning_rate": 2.631817042136188e-06, + "loss": 0.9466, + "step": 2189 + }, + { + "epoch": 0.95, + "learning_rate": 2.6314796612342626e-06, + "loss": 0.8103, + "step": 2190 + }, + { + "epoch": 0.95, + "learning_rate": 2.6311421474714075e-06, + "loss": 0.9168, + "step": 2191 + }, + { + "epoch": 0.95, + "learning_rate": 2.6308045008872565e-06, + "loss": 0.8543, + "step": 2192 + }, + { + "epoch": 0.95, + "learning_rate": 2.6304667215214554e-06, + "loss": 0.8971, + "step": 2193 + }, + { + "epoch": 0.95, + "learning_rate": 2.6301288094136674e-06, + "loss": 1.1884, + "step": 2194 + }, + { + "epoch": 0.95, + "learning_rate": 2.629790764603571e-06, + "loss": 0.8462, + "step": 2195 + }, + { + "epoch": 0.95, + "learning_rate": 2.62945258713086e-06, + "loss": 0.8512, + "step": 2196 + }, + { + "epoch": 0.95, + "learning_rate": 2.6291142770352437e-06, + "loss": 0.8845, + "step": 2197 + }, + { + "epoch": 0.95, + "learning_rate": 2.628775834356448e-06, + "loss": 1.0412, + "step": 2198 + }, + { + "epoch": 0.95, + "learning_rate": 2.628437259134213e-06, + "loss": 1.0042, + "step": 2199 + }, + { + "epoch": 0.95, + "learning_rate": 2.628098551408295e-06, + "loss": 1.1914, + "step": 2200 + }, + { + "epoch": 0.95, + "learning_rate": 2.627759711218466e-06, + "loss": 1.0425, + "step": 2201 + }, + { + "epoch": 0.95, + "learning_rate": 2.6274207386045135e-06, + "loss": 0.7293, + "step": 2202 + }, + { + "epoch": 0.95, + "learning_rate": 2.6270816336062405e-06, + "loss": 0.8341, + "step": 2203 + }, + { + "epoch": 0.95, + "learning_rate": 2.626742396263465e-06, + "loss": 0.8763, + "step": 2204 + }, + { + "epoch": 0.95, + "learning_rate": 2.626403026616022e-06, + "loss": 0.8872, + "step": 2205 + }, + { + "epoch": 0.95, + "learning_rate": 2.62606352470376e-06, + "loss": 1.0669, + "step": 2206 + }, + { + "epoch": 0.95, + "learning_rate": 2.6257238905665445e-06, + "loss": 1.0426, + "step": 2207 + }, + { + "epoch": 0.95, + "learning_rate": 2.625384124244256e-06, + "loss": 1.1931, + "step": 2208 + }, + { + "epoch": 0.95, + "learning_rate": 2.6250442257767907e-06, + "loss": 0.8706, + "step": 2209 + }, + { + "epoch": 0.95, + "learning_rate": 2.6247041952040605e-06, + "loss": 1.0388, + "step": 2210 + }, + { + "epoch": 0.95, + "learning_rate": 2.6243640325659923e-06, + "loss": 0.6939, + "step": 2211 + }, + { + "epoch": 0.95, + "learning_rate": 2.6240237379025287e-06, + "loss": 1.0516, + "step": 2212 + }, + { + "epoch": 0.96, + "learning_rate": 2.623683311253628e-06, + "loss": 0.6993, + "step": 2213 + }, + { + "epoch": 0.96, + "learning_rate": 2.6233427526592644e-06, + "loss": 0.9671, + "step": 2214 + }, + { + "epoch": 0.96, + "learning_rate": 2.623002062159426e-06, + "loss": 0.6895, + "step": 2215 + }, + { + "epoch": 0.96, + "learning_rate": 2.6226612397941184e-06, + "loss": 0.9037, + "step": 2216 + }, + { + "epoch": 0.96, + "learning_rate": 2.622320285603361e-06, + "loss": 1.1853, + "step": 2217 + }, + { + "epoch": 0.96, + "learning_rate": 2.6219791996271903e-06, + "loss": 1.1199, + "step": 2218 + }, + { + "epoch": 0.96, + "learning_rate": 2.6216379819056566e-06, + "loss": 0.9729, + "step": 2219 + }, + { + "epoch": 0.96, + "learning_rate": 2.6212966324788267e-06, + "loss": 1.0868, + "step": 2220 + }, + { + "epoch": 0.96, + "learning_rate": 2.620955151386783e-06, + "loss": 0.9986, + "step": 2221 + }, + { + "epoch": 0.96, + "learning_rate": 2.620613538669622e-06, + "loss": 1.0611, + "step": 2222 + }, + { + "epoch": 0.96, + "learning_rate": 2.620271794367458e-06, + "loss": 1.0859, + "step": 2223 + }, + { + "epoch": 0.96, + "learning_rate": 2.619929918520418e-06, + "loss": 1.1459, + "step": 2224 + }, + { + "epoch": 0.96, + "learning_rate": 2.6195879111686465e-06, + "loss": 1.1931, + "step": 2225 + }, + { + "epoch": 0.96, + "learning_rate": 2.6192457723523037e-06, + "loss": 1.0106, + "step": 2226 + }, + { + "epoch": 0.96, + "learning_rate": 2.618903502111563e-06, + "loss": 1.0907, + "step": 2227 + }, + { + "epoch": 0.96, + "learning_rate": 2.618561100486615e-06, + "loss": 1.0572, + "step": 2228 + }, + { + "epoch": 0.96, + "learning_rate": 2.6182185675176653e-06, + "loss": 0.7676, + "step": 2229 + }, + { + "epoch": 0.96, + "learning_rate": 2.6178759032449347e-06, + "loss": 1.0519, + "step": 2230 + }, + { + "epoch": 0.96, + "learning_rate": 2.6175331077086606e-06, + "loss": 0.9305, + "step": 2231 + }, + { + "epoch": 0.96, + "learning_rate": 2.6171901809490933e-06, + "loss": 1.3965, + "step": 2232 + }, + { + "epoch": 0.96, + "learning_rate": 2.616847123006501e-06, + "loss": 0.7759, + "step": 2233 + }, + { + "epoch": 0.96, + "learning_rate": 2.6165039339211666e-06, + "loss": 0.5694, + "step": 2234 + }, + { + "epoch": 0.96, + "learning_rate": 2.6161606137333867e-06, + "loss": 0.871, + "step": 2235 + }, + { + "epoch": 0.97, + "learning_rate": 2.615817162483477e-06, + "loss": 0.9658, + "step": 2236 + }, + { + "epoch": 0.97, + "learning_rate": 2.615473580211764e-06, + "loss": 0.9036, + "step": 2237 + }, + { + "epoch": 0.97, + "learning_rate": 2.6151298669585934e-06, + "loss": 0.5242, + "step": 2238 + }, + { + "epoch": 0.97, + "learning_rate": 2.6147860227643243e-06, + "loss": 0.8201, + "step": 2239 + }, + { + "epoch": 0.97, + "learning_rate": 2.6144420476693314e-06, + "loss": 1.0767, + "step": 2240 + }, + { + "epoch": 0.97, + "learning_rate": 2.614097941714006e-06, + "loss": 1.1376, + "step": 2241 + }, + { + "epoch": 0.97, + "learning_rate": 2.6137537049387535e-06, + "loss": 0.8657, + "step": 2242 + }, + { + "epoch": 0.97, + "learning_rate": 2.613409337383994e-06, + "loss": 0.8826, + "step": 2243 + }, + { + "epoch": 0.97, + "learning_rate": 2.613064839090165e-06, + "loss": 0.8488, + "step": 2244 + }, + { + "epoch": 0.97, + "learning_rate": 2.6127202100977174e-06, + "loss": 1.017, + "step": 2245 + }, + { + "epoch": 0.97, + "learning_rate": 2.612375450447119e-06, + "loss": 0.8824, + "step": 2246 + }, + { + "epoch": 0.97, + "learning_rate": 2.6120305601788523e-06, + "loss": 1.3436, + "step": 2247 + }, + { + "epoch": 0.97, + "learning_rate": 2.6116855393334147e-06, + "loss": 1.092, + "step": 2248 + }, + { + "epoch": 0.97, + "learning_rate": 2.6113403879513196e-06, + "loss": 1.2282, + "step": 2249 + }, + { + "epoch": 0.97, + "learning_rate": 2.610995106073095e-06, + "loss": 0.8347, + "step": 2250 + }, + { + "epoch": 0.97, + "learning_rate": 2.610649693739285e-06, + "loss": 0.9701, + "step": 2251 + }, + { + "epoch": 0.97, + "learning_rate": 2.61030415099045e-06, + "loss": 1.0506, + "step": 2252 + }, + { + "epoch": 0.97, + "learning_rate": 2.609958477867162e-06, + "loss": 0.6952, + "step": 2253 + }, + { + "epoch": 0.97, + "learning_rate": 2.609612674410012e-06, + "loss": 0.963, + "step": 2254 + }, + { + "epoch": 0.97, + "learning_rate": 2.6092667406596055e-06, + "loss": 0.9516, + "step": 2255 + }, + { + "epoch": 0.97, + "learning_rate": 2.6089206766565612e-06, + "loss": 0.8165, + "step": 2256 + }, + { + "epoch": 0.97, + "learning_rate": 2.608574482441517e-06, + "loss": 1.186, + "step": 2257 + }, + { + "epoch": 0.97, + "learning_rate": 2.608228158055122e-06, + "loss": 1.1854, + "step": 2258 + }, + { + "epoch": 0.97, + "learning_rate": 2.6078817035380432e-06, + "loss": 1.0395, + "step": 2259 + }, + { + "epoch": 0.98, + "learning_rate": 2.6075351189309618e-06, + "loss": 0.9028, + "step": 2260 + }, + { + "epoch": 0.98, + "learning_rate": 2.6071884042745747e-06, + "loss": 0.8685, + "step": 2261 + }, + { + "epoch": 0.98, + "learning_rate": 2.606841559609594e-06, + "loss": 0.688, + "step": 2262 + }, + { + "epoch": 0.98, + "learning_rate": 2.6064945849767465e-06, + "loss": 0.5562, + "step": 2263 + }, + { + "epoch": 0.98, + "learning_rate": 2.6061474804167756e-06, + "loss": 0.9418, + "step": 2264 + }, + { + "epoch": 0.98, + "learning_rate": 2.6058002459704385e-06, + "loss": 0.9117, + "step": 2265 + }, + { + "epoch": 0.98, + "learning_rate": 2.6054528816785085e-06, + "loss": 0.9835, + "step": 2266 + }, + { + "epoch": 0.98, + "learning_rate": 2.6051053875817736e-06, + "loss": 0.8961, + "step": 2267 + }, + { + "epoch": 0.98, + "learning_rate": 2.604757763721038e-06, + "loss": 0.8778, + "step": 2268 + }, + { + "epoch": 0.98, + "learning_rate": 2.6044100101371195e-06, + "loss": 0.9242, + "step": 2269 + }, + { + "epoch": 0.98, + "learning_rate": 2.604062126870853e-06, + "loss": 0.7631, + "step": 2270 + }, + { + "epoch": 0.98, + "learning_rate": 2.603714113963087e-06, + "loss": 0.8356, + "step": 2271 + }, + { + "epoch": 0.98, + "learning_rate": 2.603365971454687e-06, + "loss": 1.0014, + "step": 2272 + }, + { + "epoch": 0.98, + "learning_rate": 2.6030176993865315e-06, + "loss": 0.8695, + "step": 2273 + }, + { + "epoch": 0.98, + "learning_rate": 2.6026692977995165e-06, + "loss": 1.0832, + "step": 2274 + }, + { + "epoch": 0.98, + "learning_rate": 2.6023207667345514e-06, + "loss": 0.9918, + "step": 2275 + }, + { + "epoch": 0.98, + "learning_rate": 2.6019721062325614e-06, + "loss": 0.7601, + "step": 2276 + }, + { + "epoch": 0.98, + "learning_rate": 2.601623316334488e-06, + "loss": 0.9116, + "step": 2277 + }, + { + "epoch": 0.98, + "learning_rate": 2.6012743970812857e-06, + "loss": 1.1209, + "step": 2278 + }, + { + "epoch": 0.98, + "learning_rate": 2.6009253485139262e-06, + "loss": 1.0155, + "step": 2279 + }, + { + "epoch": 0.98, + "learning_rate": 2.6005761706733953e-06, + "loss": 1.0188, + "step": 2280 + }, + { + "epoch": 0.98, + "learning_rate": 2.600226863600694e-06, + "loss": 0.6458, + "step": 2281 + }, + { + "epoch": 0.98, + "learning_rate": 2.599877427336839e-06, + "loss": 0.8672, + "step": 2282 + }, + { + "epoch": 0.99, + "learning_rate": 2.5995278619228623e-06, + "loss": 1.0948, + "step": 2283 + }, + { + "epoch": 0.99, + "learning_rate": 2.5991781673998103e-06, + "loss": 0.8167, + "step": 2284 + }, + { + "epoch": 0.99, + "learning_rate": 2.5988283438087445e-06, + "loss": 0.9881, + "step": 2285 + }, + { + "epoch": 0.99, + "learning_rate": 2.5984783911907428e-06, + "loss": 1.2682, + "step": 2286 + }, + { + "epoch": 0.99, + "learning_rate": 2.5981283095868967e-06, + "loss": 1.1878, + "step": 2287 + }, + { + "epoch": 0.99, + "learning_rate": 2.597778099038314e-06, + "loss": 1.2982, + "step": 2288 + }, + { + "epoch": 0.99, + "learning_rate": 2.5974277595861175e-06, + "loss": 1.0164, + "step": 2289 + }, + { + "epoch": 0.99, + "learning_rate": 2.5970772912714444e-06, + "loss": 0.6776, + "step": 2290 + }, + { + "epoch": 0.99, + "learning_rate": 2.5967266941354475e-06, + "loss": 1.1601, + "step": 2291 + }, + { + "epoch": 0.99, + "learning_rate": 2.5963759682192946e-06, + "loss": 0.8154, + "step": 2292 + }, + { + "epoch": 0.99, + "learning_rate": 2.596025113564169e-06, + "loss": 1.3286, + "step": 2293 + }, + { + "epoch": 0.99, + "learning_rate": 2.5956741302112686e-06, + "loss": 0.6713, + "step": 2294 + }, + { + "epoch": 0.99, + "learning_rate": 2.595323018201807e-06, + "loss": 1.4138, + "step": 2295 + }, + { + "epoch": 0.99, + "learning_rate": 2.594971777577013e-06, + "loss": 0.6015, + "step": 2296 + }, + { + "epoch": 0.99, + "learning_rate": 2.5946204083781287e-06, + "loss": 1.0331, + "step": 2297 + }, + { + "epoch": 0.99, + "learning_rate": 2.594268910646414e-06, + "loss": 0.8947, + "step": 2298 + }, + { + "epoch": 0.99, + "learning_rate": 2.593917284423142e-06, + "loss": 1.0055, + "step": 2299 + }, + { + "epoch": 0.99, + "learning_rate": 2.5935655297496015e-06, + "loss": 0.9556, + "step": 2300 + }, + { + "epoch": 0.99, + "learning_rate": 2.5932136466670962e-06, + "loss": 0.9529, + "step": 2301 + }, + { + "epoch": 0.99, + "learning_rate": 2.592861635216945e-06, + "loss": 0.9441, + "step": 2302 + }, + { + "epoch": 0.99, + "learning_rate": 2.592509495440483e-06, + "loss": 1.5322, + "step": 2303 + }, + { + "epoch": 0.99, + "learning_rate": 2.5921572273790573e-06, + "loss": 1.0447, + "step": 2304 + }, + { + "epoch": 0.99, + "learning_rate": 2.5918048310740334e-06, + "loss": 0.8469, + "step": 2305 + }, + { + "epoch": 1.0, + "learning_rate": 2.5914523065667905e-06, + "loss": 1.1421, + "step": 2306 + }, + { + "epoch": 1.0, + "learning_rate": 2.5910996538987223e-06, + "loss": 1.0144, + "step": 2307 + }, + { + "epoch": 1.0, + "learning_rate": 2.5907468731112376e-06, + "loss": 0.9625, + "step": 2308 + }, + { + "epoch": 1.0, + "learning_rate": 2.5903939642457623e-06, + "loss": 0.7254, + "step": 2309 + }, + { + "epoch": 1.0, + "learning_rate": 2.590040927343734e-06, + "loss": 0.9421, + "step": 2310 + }, + { + "epoch": 1.0, + "learning_rate": 2.5896877624466085e-06, + "loss": 0.7976, + "step": 2311 + }, + { + "epoch": 1.0, + "learning_rate": 2.589334469595854e-06, + "loss": 1.1304, + "step": 2312 + }, + { + "epoch": 1.0, + "learning_rate": 2.5889810488329565e-06, + "loss": 1.0357, + "step": 2313 + }, + { + "epoch": 1.0, + "learning_rate": 2.588627500199414e-06, + "loss": 1.0716, + "step": 2314 + }, + { + "epoch": 1.0, + "learning_rate": 2.588273823736742e-06, + "loss": 1.109, + "step": 2315 + }, + { + "epoch": 1.0, + "learning_rate": 2.587920019486469e-06, + "loss": 1.0031, + "step": 2316 + }, + { + "epoch": 1.0, + "learning_rate": 2.58756608749014e-06, + "loss": 1.1025, + "step": 2317 + }, + { + "epoch": 1.0, + "learning_rate": 2.5872120277893154e-06, + "loss": 0.8572, + "step": 2318 + }, + { + "epoch": 1.0, + "learning_rate": 2.586857840425568e-06, + "loss": 0.9199, + "step": 2319 + }, + { + "epoch": 1.0, + "learning_rate": 2.586503525440489e-06, + "loss": 0.9582, + "step": 2320 + }, + { + "epoch": 1.0, + "eval_loss": 1.2556439638137817, + "eval_runtime": 31.7958, + "eval_samples_per_second": 39.156, + "eval_steps_per_second": 19.594, + "step": 2320 + }, + { + "epoch": 1.0, + "learning_rate": 2.5861490828756814e-06, + "loss": 0.925, + "step": 2321 + }, + { + "epoch": 1.0, + "learning_rate": 2.585794512772766e-06, + "loss": 1.1371, + "step": 2322 + }, + { + "epoch": 1.0, + "learning_rate": 2.585439815173376e-06, + "loss": 1.2926, + "step": 2323 + }, + { + "epoch": 1.0, + "learning_rate": 2.5850849901191614e-06, + "loss": 1.0175, + "step": 2324 + }, + { + "epoch": 1.0, + "learning_rate": 2.5847300376517864e-06, + "loss": 0.9989, + "step": 2325 + }, + { + "epoch": 1.0, + "learning_rate": 2.5843749578129304e-06, + "loss": 1.0623, + "step": 2326 + }, + { + "epoch": 1.0, + "learning_rate": 2.5840197506442884e-06, + "loss": 1.1541, + "step": 2327 + }, + { + "epoch": 1.0, + "learning_rate": 2.5836644161875683e-06, + "loss": 0.6855, + "step": 2328 + }, + { + "epoch": 1.01, + "learning_rate": 2.583308954484495e-06, + "loss": 0.6819, + "step": 2329 + }, + { + "epoch": 1.01, + "learning_rate": 2.582953365576808e-06, + "loss": 1.0005, + "step": 2330 + }, + { + "epoch": 1.01, + "learning_rate": 2.5825976495062605e-06, + "loss": 1.2972, + "step": 2331 + }, + { + "epoch": 1.01, + "learning_rate": 2.582241806314622e-06, + "loss": 0.9696, + "step": 2332 + }, + { + "epoch": 1.01, + "learning_rate": 2.5818858360436765e-06, + "loss": 1.0322, + "step": 2333 + }, + { + "epoch": 1.01, + "learning_rate": 2.5815297387352228e-06, + "loss": 1.1816, + "step": 2334 + }, + { + "epoch": 1.01, + "learning_rate": 2.5811735144310743e-06, + "loss": 1.5587, + "step": 2335 + }, + { + "epoch": 1.01, + "learning_rate": 2.5808171631730603e-06, + "loss": 1.1781, + "step": 2336 + }, + { + "epoch": 1.01, + "learning_rate": 2.5804606850030236e-06, + "loss": 0.531, + "step": 2337 + }, + { + "epoch": 1.01, + "learning_rate": 2.5801040799628234e-06, + "loss": 1.0931, + "step": 2338 + }, + { + "epoch": 1.01, + "learning_rate": 2.5797473480943322e-06, + "loss": 0.9056, + "step": 2339 + }, + { + "epoch": 1.01, + "learning_rate": 2.5793904894394394e-06, + "loss": 0.6162, + "step": 2340 + }, + { + "epoch": 1.01, + "learning_rate": 2.5790335040400475e-06, + "loss": 0.8722, + "step": 2341 + }, + { + "epoch": 1.01, + "learning_rate": 2.5786763919380746e-06, + "loss": 1.1654, + "step": 2342 + }, + { + "epoch": 1.01, + "learning_rate": 2.5783191531754534e-06, + "loss": 0.7685, + "step": 2343 + }, + { + "epoch": 1.01, + "learning_rate": 2.5779617877941325e-06, + "loss": 0.9146, + "step": 2344 + }, + { + "epoch": 1.01, + "learning_rate": 2.5776042958360733e-06, + "loss": 0.9437, + "step": 2345 + }, + { + "epoch": 1.01, + "learning_rate": 2.5772466773432545e-06, + "loss": 0.8539, + "step": 2346 + }, + { + "epoch": 1.01, + "learning_rate": 2.576888932357668e-06, + "loss": 1.015, + "step": 2347 + }, + { + "epoch": 1.01, + "learning_rate": 2.576531060921321e-06, + "loss": 0.8624, + "step": 2348 + }, + { + "epoch": 1.01, + "learning_rate": 2.5761730630762357e-06, + "loss": 0.9613, + "step": 2349 + }, + { + "epoch": 1.01, + "learning_rate": 2.575814938864449e-06, + "loss": 0.6335, + "step": 2350 + }, + { + "epoch": 1.01, + "learning_rate": 2.5754566883280124e-06, + "loss": 0.8723, + "step": 2351 + }, + { + "epoch": 1.02, + "learning_rate": 2.5750983115089927e-06, + "loss": 1.1793, + "step": 2352 + }, + { + "epoch": 1.02, + "learning_rate": 2.5747398084494718e-06, + "loss": 0.9308, + "step": 2353 + }, + { + "epoch": 1.02, + "learning_rate": 2.5743811791915445e-06, + "loss": 0.533, + "step": 2354 + }, + { + "epoch": 1.02, + "learning_rate": 2.574022423777324e-06, + "loss": 0.8455, + "step": 2355 + }, + { + "epoch": 1.02, + "learning_rate": 2.573663542248934e-06, + "loss": 0.7423, + "step": 2356 + }, + { + "epoch": 1.02, + "learning_rate": 2.573304534648517e-06, + "loss": 1.0141, + "step": 2357 + }, + { + "epoch": 1.02, + "learning_rate": 2.5729454010182275e-06, + "loss": 1.2003, + "step": 2358 + }, + { + "epoch": 1.02, + "learning_rate": 2.572586141400236e-06, + "loss": 1.0563, + "step": 2359 + }, + { + "epoch": 1.02, + "learning_rate": 2.5722267558367282e-06, + "loss": 1.0265, + "step": 2360 + }, + { + "epoch": 1.02, + "learning_rate": 2.5718672443699023e-06, + "loss": 0.983, + "step": 2361 + }, + { + "epoch": 1.02, + "learning_rate": 2.5715076070419747e-06, + "loss": 0.9009, + "step": 2362 + }, + { + "epoch": 1.0, + "learning_rate": 2.5711478438951743e-06, + "loss": 1.075, + "step": 2363 + }, + { + "epoch": 1.0, + "learning_rate": 2.5707879549717447e-06, + "loss": 0.8962, + "step": 2364 + }, + { + "epoch": 1.0, + "learning_rate": 2.5704279403139457e-06, + "loss": 0.9643, + "step": 2365 + }, + { + "epoch": 1.0, + "learning_rate": 2.5700677999640505e-06, + "loss": 0.6673, + "step": 2366 + }, + { + "epoch": 1.0, + "learning_rate": 2.5697075339643477e-06, + "loss": 1.583, + "step": 2367 + }, + { + "epoch": 1.0, + "learning_rate": 2.5693471423571407e-06, + "loss": 1.3425, + "step": 2368 + }, + { + "epoch": 1.0, + "learning_rate": 2.568986625184748e-06, + "loss": 1.0939, + "step": 2369 + }, + { + "epoch": 1.0, + "learning_rate": 2.5686259824895015e-06, + "loss": 1.3224, + "step": 2370 + }, + { + "epoch": 1.0, + "learning_rate": 2.568265214313749e-06, + "loss": 1.0354, + "step": 2371 + }, + { + "epoch": 1.0, + "learning_rate": 2.5679043206998525e-06, + "loss": 1.0086, + "step": 2372 + }, + { + "epoch": 1.0, + "learning_rate": 2.5675433016901894e-06, + "loss": 0.9747, + "step": 2373 + }, + { + "epoch": 1.01, + "learning_rate": 2.5671821573271514e-06, + "loss": 0.6542, + "step": 2374 + }, + { + "epoch": 1.01, + "learning_rate": 2.5668208876531443e-06, + "loss": 1.1192, + "step": 2375 + }, + { + "epoch": 1.01, + "learning_rate": 2.56645949271059e-06, + "loss": 0.9265, + "step": 2376 + }, + { + "epoch": 1.01, + "learning_rate": 2.566097972541923e-06, + "loss": 1.0375, + "step": 2377 + }, + { + "epoch": 1.01, + "learning_rate": 2.5657363271895956e-06, + "loss": 0.4784, + "step": 2378 + }, + { + "epoch": 1.01, + "learning_rate": 2.5653745566960714e-06, + "loss": 1.0149, + "step": 2379 + }, + { + "epoch": 1.01, + "learning_rate": 2.565012661103832e-06, + "loss": 0.902, + "step": 2380 + }, + { + "epoch": 1.01, + "learning_rate": 2.5646506404553703e-06, + "loss": 1.3313, + "step": 2381 + }, + { + "epoch": 1.01, + "learning_rate": 2.564288494793197e-06, + "loss": 0.7804, + "step": 2382 + }, + { + "epoch": 1.01, + "learning_rate": 2.563926224159835e-06, + "loss": 1.0516, + "step": 2383 + }, + { + "epoch": 1.01, + "learning_rate": 2.5635638285978235e-06, + "loss": 0.871, + "step": 2384 + }, + { + "epoch": 1.01, + "learning_rate": 2.5632013081497156e-06, + "loss": 1.0549, + "step": 2385 + }, + { + "epoch": 1.01, + "learning_rate": 2.5628386628580796e-06, + "loss": 1.1215, + "step": 2386 + }, + { + "epoch": 1.01, + "learning_rate": 2.562475892765498e-06, + "loss": 1.1842, + "step": 2387 + }, + { + "epoch": 1.01, + "learning_rate": 2.5621129979145678e-06, + "loss": 1.0912, + "step": 2388 + }, + { + "epoch": 1.01, + "learning_rate": 2.5617499783479008e-06, + "loss": 0.6098, + "step": 2389 + }, + { + "epoch": 1.01, + "learning_rate": 2.5613868341081242e-06, + "loss": 0.9076, + "step": 2390 + }, + { + "epoch": 1.01, + "learning_rate": 2.5610235652378794e-06, + "loss": 0.7464, + "step": 2391 + }, + { + "epoch": 1.01, + "learning_rate": 2.5606601717798212e-06, + "loss": 1.108, + "step": 2392 + }, + { + "epoch": 1.01, + "learning_rate": 2.5602966537766215e-06, + "loss": 0.6375, + "step": 2393 + }, + { + "epoch": 1.01, + "learning_rate": 2.5599330112709636e-06, + "loss": 0.6843, + "step": 2394 + }, + { + "epoch": 1.01, + "learning_rate": 2.559569244305549e-06, + "loss": 0.8292, + "step": 2395 + }, + { + "epoch": 1.01, + "learning_rate": 2.5592053529230913e-06, + "loss": 0.8574, + "step": 2396 + }, + { + "epoch": 1.02, + "learning_rate": 2.5588413371663195e-06, + "loss": 1.0824, + "step": 2397 + }, + { + "epoch": 1.02, + "learning_rate": 2.558477197077977e-06, + "loss": 1.0934, + "step": 2398 + }, + { + "epoch": 1.02, + "learning_rate": 2.5581129327008215e-06, + "loss": 0.8951, + "step": 2399 + }, + { + "epoch": 1.02, + "learning_rate": 2.557748544077627e-06, + "loss": 1.6814, + "step": 2400 + }, + { + "epoch": 1.02, + "learning_rate": 2.55738403125118e-06, + "loss": 0.9672, + "step": 2401 + }, + { + "epoch": 1.02, + "learning_rate": 2.557019394264283e-06, + "loss": 1.0595, + "step": 2402 + }, + { + "epoch": 1.02, + "learning_rate": 2.5566546331597518e-06, + "loss": 0.9628, + "step": 2403 + }, + { + "epoch": 1.02, + "learning_rate": 2.556289747980418e-06, + "loss": 1.2474, + "step": 2404 + }, + { + "epoch": 1.02, + "learning_rate": 2.555924738769127e-06, + "loss": 1.0117, + "step": 2405 + }, + { + "epoch": 1.02, + "learning_rate": 2.555559605568739e-06, + "loss": 7.1606, + "step": 2406 + }, + { + "epoch": 1.02, + "learning_rate": 2.5551943484221286e-06, + "loss": 0.8736, + "step": 2407 + }, + { + "epoch": 1.02, + "learning_rate": 2.554828967372186e-06, + "loss": 1.132, + "step": 2408 + }, + { + "epoch": 1.02, + "learning_rate": 2.5544634624618143e-06, + "loss": 0.7341, + "step": 2409 + }, + { + "epoch": 1.02, + "learning_rate": 2.554097833733932e-06, + "loss": 0.7803, + "step": 2410 + }, + { + "epoch": 1.02, + "learning_rate": 2.553732081231472e-06, + "loss": 0.6861, + "step": 2411 + }, + { + "epoch": 1.02, + "learning_rate": 2.5533662049973823e-06, + "loss": 1.0436, + "step": 2412 + }, + { + "epoch": 1.02, + "learning_rate": 2.5530002050746238e-06, + "loss": 0.9688, + "step": 2413 + }, + { + "epoch": 1.02, + "learning_rate": 2.552634081506175e-06, + "loss": 0.9996, + "step": 2414 + }, + { + "epoch": 1.02, + "learning_rate": 2.5522678343350254e-06, + "loss": 0.9436, + "step": 2415 + }, + { + "epoch": 1.02, + "learning_rate": 2.5519014636041805e-06, + "loss": 1.1553, + "step": 2416 + }, + { + "epoch": 1.02, + "learning_rate": 2.551534969356661e-06, + "loss": 0.951, + "step": 2417 + }, + { + "epoch": 1.02, + "learning_rate": 2.5511683516355016e-06, + "loss": 0.9266, + "step": 2418 + }, + { + "epoch": 1.02, + "learning_rate": 2.5508016104837514e-06, + "loss": 0.6679, + "step": 2419 + }, + { + "epoch": 1.03, + "learning_rate": 2.550434745944473e-06, + "loss": 0.986, + "step": 2420 + }, + { + "epoch": 1.03, + "learning_rate": 2.550067758060745e-06, + "loss": 0.869, + "step": 2421 + }, + { + "epoch": 1.03, + "learning_rate": 2.5497006468756613e-06, + "loss": 0.8697, + "step": 2422 + }, + { + "epoch": 1.03, + "learning_rate": 2.5493334124323273e-06, + "loss": 0.9364, + "step": 2423 + }, + { + "epoch": 1.03, + "learning_rate": 2.5489660547738645e-06, + "loss": 1.1088, + "step": 2424 + }, + { + "epoch": 1.03, + "learning_rate": 2.5485985739434095e-06, + "loss": 0.7782, + "step": 2425 + }, + { + "epoch": 1.03, + "learning_rate": 2.548230969984113e-06, + "loss": 1.1305, + "step": 2426 + }, + { + "epoch": 1.03, + "learning_rate": 2.5478632429391394e-06, + "loss": 1.2706, + "step": 2427 + }, + { + "epoch": 1.03, + "learning_rate": 2.5474953928516683e-06, + "loss": 0.7652, + "step": 2428 + }, + { + "epoch": 1.03, + "learning_rate": 2.5471274197648934e-06, + "loss": 1.0144, + "step": 2429 + }, + { + "epoch": 1.03, + "learning_rate": 2.546759323722023e-06, + "loss": 1.2083, + "step": 2430 + }, + { + "epoch": 1.03, + "learning_rate": 2.546391104766279e-06, + "loss": 1.1624, + "step": 2431 + }, + { + "epoch": 1.03, + "learning_rate": 2.5460227629408995e-06, + "loss": 0.7907, + "step": 2432 + }, + { + "epoch": 1.03, + "learning_rate": 2.5456542982891356e-06, + "loss": 1.1424, + "step": 2433 + }, + { + "epoch": 1.03, + "learning_rate": 2.545285710854254e-06, + "loss": 0.9047, + "step": 2434 + }, + { + "epoch": 1.03, + "learning_rate": 2.5449170006795337e-06, + "loss": 0.9273, + "step": 2435 + }, + { + "epoch": 1.03, + "learning_rate": 2.544548167808271e-06, + "loss": 1.0266, + "step": 2436 + }, + { + "epoch": 1.03, + "learning_rate": 2.544179212283774e-06, + "loss": 1.3004, + "step": 2437 + }, + { + "epoch": 1.03, + "learning_rate": 2.543810134149367e-06, + "loss": 0.8168, + "step": 2438 + }, + { + "epoch": 1.03, + "learning_rate": 2.5434409334483864e-06, + "loss": 0.7521, + "step": 2439 + }, + { + "epoch": 1.03, + "learning_rate": 2.543071610224187e-06, + "loss": 0.9549, + "step": 2440 + }, + { + "epoch": 1.03, + "learning_rate": 2.542702164520134e-06, + "loss": 1.0244, + "step": 2441 + }, + { + "epoch": 1.03, + "learning_rate": 2.5423325963796095e-06, + "loss": 1.0518, + "step": 2442 + }, + { + "epoch": 1.03, + "learning_rate": 2.541962905846008e-06, + "loss": 0.5628, + "step": 2443 + }, + { + "epoch": 1.04, + "learning_rate": 2.5415930929627405e-06, + "loss": 0.8749, + "step": 2444 + }, + { + "epoch": 1.04, + "learning_rate": 2.5412231577732305e-06, + "loss": 1.047, + "step": 2445 + }, + { + "epoch": 1.04, + "learning_rate": 2.5408531003209164e-06, + "loss": 1.2149, + "step": 2446 + }, + { + "epoch": 1.04, + "learning_rate": 2.540482920649252e-06, + "loss": 0.6893, + "step": 2447 + }, + { + "epoch": 1.04, + "learning_rate": 2.5401126188017043e-06, + "loss": 0.6614, + "step": 2448 + }, + { + "epoch": 1.04, + "learning_rate": 2.539742194821755e-06, + "loss": 1.1236, + "step": 2449 + }, + { + "epoch": 1.04, + "learning_rate": 2.5393716487528995e-06, + "loss": 0.9625, + "step": 2450 + }, + { + "epoch": 1.04, + "learning_rate": 2.5390009806386496e-06, + "loss": 1.0051, + "step": 2451 + }, + { + "epoch": 1.04, + "learning_rate": 2.538630190522529e-06, + "loss": 0.9657, + "step": 2452 + }, + { + "epoch": 1.04, + "learning_rate": 2.5382592784480764e-06, + "loss": 0.848, + "step": 2453 + }, + { + "epoch": 1.04, + "learning_rate": 2.537888244458846e-06, + "loss": 1.1419, + "step": 2454 + }, + { + "epoch": 1.04, + "learning_rate": 2.5375170885984046e-06, + "loss": 0.8439, + "step": 2455 + }, + { + "epoch": 1.04, + "learning_rate": 2.5371458109103357e-06, + "loss": 0.6136, + "step": 2456 + }, + { + "epoch": 1.04, + "learning_rate": 2.5367744114382337e-06, + "loss": 1.1142, + "step": 2457 + }, + { + "epoch": 1.04, + "learning_rate": 2.53640289022571e-06, + "loss": 0.7367, + "step": 2458 + }, + { + "epoch": 1.04, + "learning_rate": 2.5360312473163896e-06, + "loss": 0.929, + "step": 2459 + }, + { + "epoch": 1.04, + "learning_rate": 2.5356594827539117e-06, + "loss": 1.0352, + "step": 2460 + }, + { + "epoch": 1.04, + "learning_rate": 2.5352875965819294e-06, + "loss": 1.0086, + "step": 2461 + }, + { + "epoch": 1.04, + "learning_rate": 2.534915588844111e-06, + "loss": 1.1037, + "step": 2462 + }, + { + "epoch": 1.04, + "learning_rate": 2.5345434595841375e-06, + "loss": 0.8179, + "step": 2463 + }, + { + "epoch": 1.04, + "learning_rate": 2.534171208845706e-06, + "loss": 1.0403, + "step": 2464 + }, + { + "epoch": 1.04, + "learning_rate": 2.533798836672527e-06, + "loss": 0.9807, + "step": 2465 + }, + { + "epoch": 1.04, + "learning_rate": 2.533426343108325e-06, + "loss": 0.8252, + "step": 2466 + }, + { + "epoch": 1.05, + "learning_rate": 2.5330537281968392e-06, + "loss": 0.8318, + "step": 2467 + }, + { + "epoch": 1.05, + "learning_rate": 2.5326809919818227e-06, + "loss": 0.8181, + "step": 2468 + }, + { + "epoch": 1.05, + "learning_rate": 2.532308134507043e-06, + "loss": 0.8583, + "step": 2469 + }, + { + "epoch": 1.05, + "learning_rate": 2.5319351558162823e-06, + "loss": 0.8907, + "step": 2470 + }, + { + "epoch": 1.05, + "learning_rate": 2.5315620559533366e-06, + "loss": 1.0339, + "step": 2471 + }, + { + "epoch": 1.05, + "learning_rate": 2.5311888349620155e-06, + "loss": 0.9013, + "step": 2472 + }, + { + "epoch": 1.05, + "learning_rate": 2.5308154928861445e-06, + "loss": 1.0625, + "step": 2473 + }, + { + "epoch": 1.05, + "learning_rate": 2.530442029769561e-06, + "loss": 1.2366, + "step": 2474 + }, + { + "epoch": 1.05, + "learning_rate": 2.530068445656119e-06, + "loss": 0.7907, + "step": 2475 + }, + { + "epoch": 1.05, + "learning_rate": 2.5296947405896845e-06, + "loss": 1.0453, + "step": 2476 + }, + { + "epoch": 1.05, + "learning_rate": 2.52932091461414e-06, + "loss": 0.8629, + "step": 2477 + }, + { + "epoch": 1.05, + "learning_rate": 2.5289469677733803e-06, + "loss": 0.9315, + "step": 2478 + }, + { + "epoch": 1.05, + "learning_rate": 2.5285729001113147e-06, + "loss": 1.0497, + "step": 2479 + }, + { + "epoch": 1.05, + "learning_rate": 2.5281987116718685e-06, + "loss": 1.1773, + "step": 2480 + }, + { + "epoch": 1.05, + "learning_rate": 2.5278244024989786e-06, + "loss": 0.7074, + "step": 2481 + }, + { + "epoch": 1.05, + "learning_rate": 2.5274499726365975e-06, + "loss": 1.0942, + "step": 2482 + }, + { + "epoch": 1.05, + "learning_rate": 2.5270754221286913e-06, + "loss": 0.8741, + "step": 2483 + }, + { + "epoch": 1.05, + "learning_rate": 2.526700751019241e-06, + "loss": 1.0115, + "step": 2484 + }, + { + "epoch": 1.05, + "learning_rate": 2.5263259593522417e-06, + "loss": 0.9186, + "step": 2485 + }, + { + "epoch": 1.05, + "learning_rate": 2.5259510471717016e-06, + "loss": 1.0414, + "step": 2486 + }, + { + "epoch": 1.05, + "learning_rate": 2.5255760145216436e-06, + "loss": 0.8089, + "step": 2487 + }, + { + "epoch": 1.05, + "learning_rate": 2.525200861446106e-06, + "loss": 0.9579, + "step": 2488 + }, + { + "epoch": 1.05, + "learning_rate": 2.5248255879891385e-06, + "loss": 1.0916, + "step": 2489 + }, + { + "epoch": 1.06, + "learning_rate": 2.5244501941948084e-06, + "loss": 0.7339, + "step": 2490 + }, + { + "epoch": 1.06, + "learning_rate": 2.524074680107194e-06, + "loss": 0.7612, + "step": 2491 + }, + { + "epoch": 1.06, + "learning_rate": 2.523699045770389e-06, + "loss": 0.7962, + "step": 2492 + }, + { + "epoch": 1.06, + "learning_rate": 2.5233232912285023e-06, + "loss": 0.7948, + "step": 2493 + }, + { + "epoch": 1.06, + "learning_rate": 2.5229474165256547e-06, + "loss": 1.2014, + "step": 2494 + }, + { + "epoch": 1.06, + "learning_rate": 2.522571421705983e-06, + "loss": 1.0086, + "step": 2495 + }, + { + "epoch": 1.06, + "learning_rate": 2.5221953068136373e-06, + "loss": 0.9105, + "step": 2496 + }, + { + "epoch": 1.06, + "learning_rate": 2.5218190718927816e-06, + "loss": 1.1624, + "step": 2497 + }, + { + "epoch": 1.06, + "learning_rate": 2.521442716987594e-06, + "loss": 0.8083, + "step": 2498 + }, + { + "epoch": 1.06, + "learning_rate": 2.5210662421422677e-06, + "loss": 0.7885, + "step": 2499 + }, + { + "epoch": 1.06, + "learning_rate": 2.5206896474010088e-06, + "loss": 1.2886, + "step": 2500 + }, + { + "epoch": 1.06, + "learning_rate": 2.520312932808038e-06, + "loss": 0.7225, + "step": 2501 + }, + { + "epoch": 1.06, + "learning_rate": 2.5199360984075894e-06, + "loss": 0.8698, + "step": 2502 + }, + { + "epoch": 1.06, + "learning_rate": 2.519559144243913e-06, + "loss": 0.9908, + "step": 2503 + }, + { + "epoch": 1.06, + "learning_rate": 2.5191820703612705e-06, + "loss": 1.0439, + "step": 2504 + }, + { + "epoch": 1.06, + "learning_rate": 2.51880487680394e-06, + "loss": 1.1282, + "step": 2505 + }, + { + "epoch": 1.06, + "learning_rate": 2.5184275636162106e-06, + "loss": 1.0074, + "step": 2506 + }, + { + "epoch": 1.06, + "learning_rate": 2.518050130842389e-06, + "loss": 1.111, + "step": 2507 + }, + { + "epoch": 1.06, + "learning_rate": 2.517672578526793e-06, + "loss": 1.0498, + "step": 2508 + }, + { + "epoch": 1.06, + "learning_rate": 2.5172949067137574e-06, + "loss": 0.9295, + "step": 2509 + }, + { + "epoch": 1.06, + "learning_rate": 2.5169171154476263e-06, + "loss": 0.9655, + "step": 2510 + }, + { + "epoch": 1.06, + "learning_rate": 2.5165392047727637e-06, + "loss": 0.5978, + "step": 2511 + }, + { + "epoch": 1.06, + "learning_rate": 2.5161611747335434e-06, + "loss": 1.4487, + "step": 2512 + }, + { + "epoch": 1.07, + "learning_rate": 2.515783025374355e-06, + "loss": 1.0124, + "step": 2513 + }, + { + "epoch": 1.07, + "learning_rate": 2.5154047567396016e-06, + "loss": 1.1097, + "step": 2514 + }, + { + "epoch": 1.07, + "learning_rate": 2.5150263688737e-06, + "loss": 0.9237, + "step": 2515 + }, + { + "epoch": 1.07, + "learning_rate": 2.5146478618210815e-06, + "loss": 0.9277, + "step": 2516 + }, + { + "epoch": 1.07, + "learning_rate": 2.5142692356261912e-06, + "loss": 0.7699, + "step": 2517 + }, + { + "epoch": 1.07, + "learning_rate": 2.5138904903334885e-06, + "loss": 0.9681, + "step": 2518 + }, + { + "epoch": 1.07, + "learning_rate": 2.5135116259874467e-06, + "loss": 0.9092, + "step": 2519 + }, + { + "epoch": 1.07, + "learning_rate": 2.5131326426325525e-06, + "loss": 1.0778, + "step": 2520 + }, + { + "epoch": 1.07, + "learning_rate": 2.512753540313307e-06, + "loss": 1.1998, + "step": 2521 + }, + { + "epoch": 1.07, + "learning_rate": 2.5123743190742255e-06, + "loss": 0.9571, + "step": 2522 + }, + { + "epoch": 1.07, + "learning_rate": 2.511994978959837e-06, + "loss": 1.0997, + "step": 2523 + }, + { + "epoch": 1.07, + "learning_rate": 2.5116155200146848e-06, + "loss": 1.336, + "step": 2524 + }, + { + "epoch": 1.07, + "learning_rate": 2.511235942283325e-06, + "loss": 1.1284, + "step": 2525 + }, + { + "epoch": 1.07, + "learning_rate": 2.5108562458103284e-06, + "loss": 0.8306, + "step": 2526 + }, + { + "epoch": 1.07, + "learning_rate": 2.5104764306402813e-06, + "loss": 1.1278, + "step": 2527 + }, + { + "epoch": 1.07, + "learning_rate": 2.510096496817781e-06, + "loss": 0.8534, + "step": 2528 + }, + { + "epoch": 1.07, + "learning_rate": 2.509716444387441e-06, + "loss": 0.6925, + "step": 2529 + }, + { + "epoch": 1.07, + "learning_rate": 2.509336273393888e-06, + "loss": 1.2175, + "step": 2530 + }, + { + "epoch": 1.07, + "learning_rate": 2.508955983881762e-06, + "loss": 0.7948, + "step": 2531 + }, + { + "epoch": 1.07, + "learning_rate": 2.508575575895717e-06, + "loss": 1.1404, + "step": 2532 + }, + { + "epoch": 1.07, + "learning_rate": 2.508195049480423e-06, + "loss": 1.2131, + "step": 2533 + }, + { + "epoch": 1.07, + "learning_rate": 2.5078144046805606e-06, + "loss": 0.8778, + "step": 2534 + }, + { + "epoch": 1.07, + "learning_rate": 2.5074336415408266e-06, + "loss": 1.2591, + "step": 2535 + }, + { + "epoch": 1.08, + "learning_rate": 2.507052760105932e-06, + "loss": 0.9651, + "step": 2536 + }, + { + "epoch": 1.08, + "learning_rate": 2.5066717604205994e-06, + "loss": 0.9182, + "step": 2537 + }, + { + "epoch": 1.08, + "learning_rate": 2.5062906425295673e-06, + "loss": 0.9418, + "step": 2538 + }, + { + "epoch": 1.08, + "learning_rate": 2.5059094064775873e-06, + "loss": 0.9968, + "step": 2539 + }, + { + "epoch": 1.08, + "learning_rate": 2.5055280523094255e-06, + "loss": 0.8205, + "step": 2540 + }, + { + "epoch": 1.08, + "learning_rate": 2.5051465800698603e-06, + "loss": 0.73, + "step": 2541 + }, + { + "epoch": 1.08, + "learning_rate": 2.504764989803686e-06, + "loss": 0.9783, + "step": 2542 + }, + { + "epoch": 1.08, + "learning_rate": 2.504383281555709e-06, + "loss": 1.1105, + "step": 2543 + }, + { + "epoch": 1.08, + "learning_rate": 2.5040014553707514e-06, + "loss": 1.2167, + "step": 2544 + }, + { + "epoch": 1.08, + "learning_rate": 2.5036195112936475e-06, + "loss": 0.8922, + "step": 2545 + }, + { + "epoch": 1.08, + "learning_rate": 2.5032374493692456e-06, + "loss": 0.8815, + "step": 2546 + }, + { + "epoch": 1.08, + "learning_rate": 2.5028552696424097e-06, + "loss": 0.8245, + "step": 2547 + }, + { + "epoch": 1.08, + "learning_rate": 2.5024729721580144e-06, + "loss": 0.7858, + "step": 2548 + }, + { + "epoch": 1.08, + "learning_rate": 2.502090556960951e-06, + "loss": 1.3013, + "step": 2549 + }, + { + "epoch": 1.08, + "learning_rate": 2.501708024096124e-06, + "loss": 0.9579, + "step": 2550 + }, + { + "epoch": 1.08, + "learning_rate": 2.50132537360845e-06, + "loss": 0.9012, + "step": 2551 + }, + { + "epoch": 1.08, + "learning_rate": 2.5009426055428616e-06, + "loss": 1.1126, + "step": 2552 + }, + { + "epoch": 1.08, + "learning_rate": 2.500559719944304e-06, + "loss": 0.9676, + "step": 2553 + }, + { + "epoch": 1.08, + "learning_rate": 2.500176716857736e-06, + "loss": 1.0251, + "step": 2554 + }, + { + "epoch": 1.08, + "learning_rate": 2.4997935963281323e-06, + "loss": 1.061, + "step": 2555 + }, + { + "epoch": 1.08, + "learning_rate": 2.4994103584004787e-06, + "loss": 1.2763, + "step": 2556 + }, + { + "epoch": 1.08, + "learning_rate": 2.4990270031197755e-06, + "loss": 0.5624, + "step": 2557 + }, + { + "epoch": 1.08, + "learning_rate": 2.498643530531038e-06, + "loss": 0.9289, + "step": 2558 + }, + { + "epoch": 1.09, + "learning_rate": 2.4982599406792936e-06, + "loss": 0.9317, + "step": 2559 + }, + { + "epoch": 1.09, + "learning_rate": 2.4978762336095845e-06, + "loss": 0.9323, + "step": 2560 + }, + { + "epoch": 1.09, + "learning_rate": 2.4974924093669674e-06, + "loss": 0.9674, + "step": 2561 + }, + { + "epoch": 1.09, + "learning_rate": 2.4971084679965106e-06, + "loss": 0.9061, + "step": 2562 + }, + { + "epoch": 1.09, + "learning_rate": 2.496724409543298e-06, + "loss": 1.0783, + "step": 2563 + }, + { + "epoch": 1.09, + "learning_rate": 2.4963402340524264e-06, + "loss": 0.4885, + "step": 2564 + }, + { + "epoch": 1.09, + "learning_rate": 2.4959559415690067e-06, + "loss": 0.7584, + "step": 2565 + }, + { + "epoch": 1.09, + "learning_rate": 2.4955715321381633e-06, + "loss": 1.0364, + "step": 2566 + }, + { + "epoch": 1.09, + "learning_rate": 2.495187005805035e-06, + "loss": 1.3522, + "step": 2567 + }, + { + "epoch": 1.09, + "learning_rate": 2.494802362614773e-06, + "loss": 0.9979, + "step": 2568 + }, + { + "epoch": 1.09, + "learning_rate": 2.4944176026125428e-06, + "loss": 0.9545, + "step": 2569 + }, + { + "epoch": 1.09, + "learning_rate": 2.4940327258435243e-06, + "loss": 1.0676, + "step": 2570 + }, + { + "epoch": 1.09, + "learning_rate": 2.493647732352911e-06, + "loss": 0.711, + "step": 2571 + }, + { + "epoch": 1.09, + "learning_rate": 2.493262622185909e-06, + "loss": 1.0011, + "step": 2572 + }, + { + "epoch": 1.09, + "learning_rate": 2.4928773953877392e-06, + "loss": 0.9036, + "step": 2573 + }, + { + "epoch": 1.09, + "learning_rate": 2.4924920520036357e-06, + "loss": 0.9596, + "step": 2574 + }, + { + "epoch": 1.09, + "learning_rate": 2.492106592078846e-06, + "loss": 0.9664, + "step": 2575 + }, + { + "epoch": 1.09, + "learning_rate": 2.491721015658633e-06, + "loss": 0.7917, + "step": 2576 + }, + { + "epoch": 1.09, + "learning_rate": 2.49133532278827e-06, + "loss": 0.7859, + "step": 2577 + }, + { + "epoch": 1.09, + "learning_rate": 2.490949513513047e-06, + "loss": 0.8622, + "step": 2578 + }, + { + "epoch": 1.09, + "learning_rate": 2.4905635878782674e-06, + "loss": 0.8306, + "step": 2579 + }, + { + "epoch": 1.09, + "learning_rate": 2.490177545929246e-06, + "loss": 0.6728, + "step": 2580 + }, + { + "epoch": 1.09, + "learning_rate": 2.4897913877113138e-06, + "loss": 0.936, + "step": 2581 + }, + { + "epoch": 1.09, + "learning_rate": 2.489405113269814e-06, + "loss": 0.8633, + "step": 2582 + }, + { + "epoch": 1.1, + "learning_rate": 2.4890187226501035e-06, + "loss": 0.87, + "step": 2583 + }, + { + "epoch": 1.1, + "learning_rate": 2.4886322158975532e-06, + "loss": 1.1496, + "step": 2584 + }, + { + "epoch": 1.1, + "learning_rate": 2.4882455930575485e-06, + "loss": 1.1804, + "step": 2585 + }, + { + "epoch": 1.1, + "learning_rate": 2.4878588541754866e-06, + "loss": 1.0818, + "step": 2586 + }, + { + "epoch": 1.1, + "learning_rate": 2.4874719992967797e-06, + "loss": 0.9902, + "step": 2587 + }, + { + "epoch": 1.1, + "learning_rate": 2.4870850284668526e-06, + "loss": 0.9424, + "step": 2588 + }, + { + "epoch": 1.1, + "learning_rate": 2.486697941731145e-06, + "loss": 1.0025, + "step": 2589 + }, + { + "epoch": 1.1, + "learning_rate": 2.4863107391351097e-06, + "loss": 0.9878, + "step": 2590 + }, + { + "epoch": 1.1, + "learning_rate": 2.4859234207242124e-06, + "loss": 0.7819, + "step": 2591 + }, + { + "epoch": 1.1, + "learning_rate": 2.485535986543933e-06, + "loss": 0.8938, + "step": 2592 + }, + { + "epoch": 1.1, + "learning_rate": 2.4851484366397645e-06, + "loss": 1.2243, + "step": 2593 + }, + { + "epoch": 1.1, + "learning_rate": 2.4847607710572145e-06, + "loss": 1.2802, + "step": 2594 + }, + { + "epoch": 1.1, + "learning_rate": 2.484372989841803e-06, + "loss": 0.8045, + "step": 2595 + }, + { + "epoch": 1.1, + "learning_rate": 2.4839850930390655e-06, + "loss": 1.003, + "step": 2596 + }, + { + "epoch": 1.1, + "learning_rate": 2.4835970806945478e-06, + "loss": 0.7899, + "step": 2597 + }, + { + "epoch": 1.1, + "learning_rate": 2.4832089528538127e-06, + "loss": 0.9639, + "step": 2598 + }, + { + "epoch": 1.1, + "learning_rate": 2.482820709562434e-06, + "loss": 0.9513, + "step": 2599 + }, + { + "epoch": 1.1, + "learning_rate": 2.4824323508660014e-06, + "loss": 1.0523, + "step": 2600 + }, + { + "epoch": 1.1, + "learning_rate": 2.4820438768101155e-06, + "loss": 1.0782, + "step": 2601 + }, + { + "epoch": 1.1, + "learning_rate": 2.4816552874403923e-06, + "loss": 0.9752, + "step": 2602 + }, + { + "epoch": 1.1, + "learning_rate": 2.4812665828024616e-06, + "loss": 1.2415, + "step": 2603 + }, + { + "epoch": 1.1, + "learning_rate": 2.480877762941965e-06, + "loss": 0.6793, + "step": 2604 + }, + { + "epoch": 1.1, + "learning_rate": 2.4804888279045584e-06, + "loss": 0.956, + "step": 2605 + }, + { + "epoch": 1.11, + "learning_rate": 2.480099777735913e-06, + "loss": 0.9999, + "step": 2606 + }, + { + "epoch": 1.11, + "learning_rate": 2.4797106124817103e-06, + "loss": 1.1231, + "step": 2607 + }, + { + "epoch": 1.11, + "learning_rate": 2.479321332187648e-06, + "loss": 0.9158, + "step": 2608 + }, + { + "epoch": 1.11, + "learning_rate": 2.478931936899436e-06, + "loss": 1.0454, + "step": 2609 + }, + { + "epoch": 1.11, + "learning_rate": 2.4785424266627974e-06, + "loss": 0.9577, + "step": 2610 + }, + { + "epoch": 1.11, + "learning_rate": 2.4781528015234702e-06, + "loss": 1.2663, + "step": 2611 + }, + { + "epoch": 1.11, + "learning_rate": 2.4777630615272047e-06, + "loss": 1.0804, + "step": 2612 + }, + { + "epoch": 1.11, + "learning_rate": 2.477373206719765e-06, + "loss": 0.6738, + "step": 2613 + }, + { + "epoch": 1.11, + "learning_rate": 2.476983237146929e-06, + "loss": 1.1237, + "step": 2614 + }, + { + "epoch": 1.11, + "learning_rate": 2.476593152854488e-06, + "loss": 0.8463, + "step": 2615 + }, + { + "epoch": 1.11, + "learning_rate": 2.476202953888246e-06, + "loss": 0.5317, + "step": 2616 + }, + { + "epoch": 1.11, + "learning_rate": 2.4758126402940214e-06, + "loss": 0.9565, + "step": 2617 + }, + { + "epoch": 1.11, + "learning_rate": 2.4754222121176454e-06, + "loss": 0.9107, + "step": 2618 + }, + { + "epoch": 1.11, + "learning_rate": 2.475031669404964e-06, + "loss": 0.825, + "step": 2619 + }, + { + "epoch": 1.11, + "learning_rate": 2.474641012201834e-06, + "loss": 1.0717, + "step": 2620 + }, + { + "epoch": 1.11, + "learning_rate": 2.474250240554128e-06, + "loss": 1.0429, + "step": 2621 + }, + { + "epoch": 1.11, + "learning_rate": 2.473859354507732e-06, + "loss": 0.8601, + "step": 2622 + }, + { + "epoch": 1.11, + "learning_rate": 2.4734683541085438e-06, + "loss": 1.1099, + "step": 2623 + }, + { + "epoch": 1.11, + "learning_rate": 2.473077239402476e-06, + "loss": 0.8243, + "step": 2624 + }, + { + "epoch": 1.11, + "learning_rate": 2.472686010435454e-06, + "loss": 1.1395, + "step": 2625 + }, + { + "epoch": 1.11, + "learning_rate": 2.472294667253417e-06, + "loss": 0.7941, + "step": 2626 + }, + { + "epoch": 1.11, + "learning_rate": 2.471903209902317e-06, + "loss": 1.2336, + "step": 2627 + }, + { + "epoch": 1.11, + "learning_rate": 2.4715116384281206e-06, + "loss": 0.9558, + "step": 2628 + }, + { + "epoch": 1.12, + "learning_rate": 2.4711199528768056e-06, + "loss": 1.038, + "step": 2629 + }, + { + "epoch": 1.12, + "learning_rate": 2.4707281532943667e-06, + "loss": 1.0425, + "step": 2630 + }, + { + "epoch": 1.12, + "learning_rate": 2.4703362397268078e-06, + "loss": 0.9683, + "step": 2631 + }, + { + "epoch": 1.12, + "learning_rate": 2.46994421222015e-06, + "loss": 1.024, + "step": 2632 + }, + { + "epoch": 1.12, + "learning_rate": 2.4695520708204247e-06, + "loss": 1.0468, + "step": 2633 + }, + { + "epoch": 1.12, + "learning_rate": 2.469159815573679e-06, + "loss": 0.8857, + "step": 2634 + }, + { + "epoch": 1.12, + "learning_rate": 2.4687674465259717e-06, + "loss": 1.2018, + "step": 2635 + }, + { + "epoch": 1.12, + "learning_rate": 2.468374963723376e-06, + "loss": 0.9468, + "step": 2636 + }, + { + "epoch": 1.12, + "learning_rate": 2.4679823672119785e-06, + "loss": 1.2098, + "step": 2637 + }, + { + "epoch": 1.12, + "learning_rate": 2.4675896570378784e-06, + "loss": 0.8503, + "step": 2638 + }, + { + "epoch": 1.12, + "learning_rate": 2.467196833247188e-06, + "loss": 0.8843, + "step": 2639 + }, + { + "epoch": 1.12, + "learning_rate": 2.466803895886035e-06, + "loss": 1.3717, + "step": 2640 + }, + { + "epoch": 1.12, + "learning_rate": 2.466410845000558e-06, + "loss": 0.8819, + "step": 2641 + }, + { + "epoch": 1.12, + "learning_rate": 2.4660176806369103e-06, + "loss": 1.1798, + "step": 2642 + }, + { + "epoch": 1.12, + "learning_rate": 2.4656244028412574e-06, + "loss": 0.759, + "step": 2643 + }, + { + "epoch": 1.12, + "learning_rate": 2.46523101165978e-06, + "loss": 1.075, + "step": 2644 + }, + { + "epoch": 1.12, + "learning_rate": 2.4648375071386698e-06, + "loss": 0.8983, + "step": 2645 + }, + { + "epoch": 1.12, + "learning_rate": 2.464443889324135e-06, + "loss": 1.2313, + "step": 2646 + }, + { + "epoch": 1.12, + "learning_rate": 2.4640501582623923e-06, + "loss": 0.891, + "step": 2647 + }, + { + "epoch": 1.12, + "learning_rate": 2.463656313999677e-06, + "loss": 1.0126, + "step": 2648 + }, + { + "epoch": 1.12, + "learning_rate": 2.4632623565822335e-06, + "loss": 1.2146, + "step": 2649 + }, + { + "epoch": 1.12, + "learning_rate": 2.462868286056322e-06, + "loss": 0.7453, + "step": 2650 + }, + { + "epoch": 1.12, + "learning_rate": 2.4624741024682153e-06, + "loss": 0.6798, + "step": 2651 + }, + { + "epoch": 1.13, + "learning_rate": 2.462079805864199e-06, + "loss": 1.1141, + "step": 2652 + }, + { + "epoch": 1.13, + "learning_rate": 2.461685396290572e-06, + "loss": 1.0828, + "step": 2653 + }, + { + "epoch": 1.13, + "learning_rate": 2.4612908737936477e-06, + "loss": 0.5539, + "step": 2654 + }, + { + "epoch": 1.13, + "learning_rate": 2.4608962384197507e-06, + "loss": 0.8562, + "step": 2655 + }, + { + "epoch": 1.13, + "learning_rate": 2.4605014902152214e-06, + "loss": 1.0911, + "step": 2656 + }, + { + "epoch": 1.13, + "learning_rate": 2.460106629226411e-06, + "loss": 1.1502, + "step": 2657 + }, + { + "epoch": 1.13, + "learning_rate": 2.459711655499684e-06, + "loss": 1.1744, + "step": 2658 + }, + { + "epoch": 1.13, + "learning_rate": 2.4593165690814212e-06, + "loss": 0.8058, + "step": 2659 + }, + { + "epoch": 1.13, + "learning_rate": 2.4589213700180135e-06, + "loss": 0.9511, + "step": 2660 + }, + { + "epoch": 1.13, + "learning_rate": 2.4585260583558666e-06, + "loss": 1.2131, + "step": 2661 + }, + { + "epoch": 1.13, + "learning_rate": 2.458130634141398e-06, + "loss": 0.6333, + "step": 2662 + }, + { + "epoch": 1.13, + "learning_rate": 2.45773509742104e-06, + "loss": 0.9699, + "step": 2663 + }, + { + "epoch": 1.13, + "learning_rate": 2.4573394482412376e-06, + "loss": 0.8509, + "step": 2664 + }, + { + "epoch": 1.13, + "learning_rate": 2.456943686648448e-06, + "loss": 1.3955, + "step": 2665 + }, + { + "epoch": 1.13, + "learning_rate": 2.4565478126891434e-06, + "loss": 1.0224, + "step": 2666 + }, + { + "epoch": 1.13, + "learning_rate": 2.456151826409807e-06, + "loss": 0.945, + "step": 2667 + }, + { + "epoch": 1.13, + "learning_rate": 2.4557557278569376e-06, + "loss": 0.8569, + "step": 2668 + }, + { + "epoch": 1.13, + "learning_rate": 2.455359517077046e-06, + "loss": 0.9466, + "step": 2669 + }, + { + "epoch": 1.13, + "learning_rate": 2.454963194116655e-06, + "loss": 0.865, + "step": 2670 + }, + { + "epoch": 1.13, + "learning_rate": 2.454566759022303e-06, + "loss": 1.0599, + "step": 2671 + }, + { + "epoch": 1.13, + "learning_rate": 2.4541702118405394e-06, + "loss": 0.8234, + "step": 2672 + }, + { + "epoch": 1.13, + "learning_rate": 2.4537735526179282e-06, + "loss": 1.3785, + "step": 2673 + }, + { + "epoch": 1.13, + "learning_rate": 2.453376781401046e-06, + "loss": 0.9222, + "step": 2674 + }, + { + "epoch": 1.14, + "learning_rate": 2.4529798982364825e-06, + "loss": 1.1764, + "step": 2675 + }, + { + "epoch": 1.14, + "learning_rate": 2.4525829031708406e-06, + "loss": 0.9599, + "step": 2676 + }, + { + "epoch": 1.14, + "learning_rate": 2.4521857962507363e-06, + "loss": 0.9531, + "step": 2677 + }, + { + "epoch": 1.14, + "learning_rate": 2.4517885775227993e-06, + "loss": 0.9274, + "step": 2678 + }, + { + "epoch": 1.14, + "learning_rate": 2.4513912470336713e-06, + "loss": 0.9977, + "step": 2679 + }, + { + "epoch": 1.14, + "learning_rate": 2.4509938048300075e-06, + "loss": 1.1954, + "step": 2680 + }, + { + "epoch": 1.14, + "learning_rate": 2.4505962509584775e-06, + "loss": 3.1061, + "step": 2681 + }, + { + "epoch": 1.14, + "learning_rate": 2.4501985854657624e-06, + "loss": 1.0261, + "step": 2682 + }, + { + "epoch": 1.14, + "learning_rate": 2.4498008083985567e-06, + "loss": 0.8466, + "step": 2683 + }, + { + "epoch": 1.14, + "learning_rate": 2.449402919803569e-06, + "loss": 0.8899, + "step": 2684 + }, + { + "epoch": 1.14, + "learning_rate": 2.4490049197275195e-06, + "loss": 1.0001, + "step": 2685 + }, + { + "epoch": 1.14, + "learning_rate": 2.4486068082171427e-06, + "loss": 1.0564, + "step": 2686 + }, + { + "epoch": 1.14, + "learning_rate": 2.4482085853191864e-06, + "loss": 3.2739, + "step": 2687 + }, + { + "epoch": 1.14, + "learning_rate": 2.4478102510804094e-06, + "loss": 0.9619, + "step": 2688 + }, + { + "epoch": 1.14, + "learning_rate": 2.4474118055475865e-06, + "loss": 0.9056, + "step": 2689 + }, + { + "epoch": 1.14, + "learning_rate": 2.4470132487675027e-06, + "loss": 0.9096, + "step": 2690 + }, + { + "epoch": 1.14, + "learning_rate": 2.4466145807869588e-06, + "loss": 1.0023, + "step": 2691 + }, + { + "epoch": 1.14, + "learning_rate": 2.446215801652766e-06, + "loss": 1.0781, + "step": 2692 + }, + { + "epoch": 1.14, + "learning_rate": 2.445816911411751e-06, + "loss": 0.5919, + "step": 2693 + }, + { + "epoch": 1.14, + "learning_rate": 2.4454179101107515e-06, + "loss": 1.2899, + "step": 2694 + }, + { + "epoch": 1.14, + "learning_rate": 2.4450187977966207e-06, + "loss": 1.0621, + "step": 2695 + }, + { + "epoch": 1.14, + "learning_rate": 2.4446195745162203e-06, + "loss": 1.0867, + "step": 2696 + }, + { + "epoch": 1.14, + "learning_rate": 2.444220240316431e-06, + "loss": 0.8543, + "step": 2697 + }, + { + "epoch": 1.15, + "learning_rate": 2.4438207952441424e-06, + "loss": 0.7192, + "step": 2698 + }, + { + "epoch": 1.15, + "learning_rate": 2.443421239346258e-06, + "loss": 0.8982, + "step": 2699 + }, + { + "epoch": 1.15, + "learning_rate": 2.443021572669695e-06, + "loss": 1.2484, + "step": 2700 + }, + { + "epoch": 1.15, + "learning_rate": 2.4426217952613826e-06, + "loss": 0.9262, + "step": 2701 + }, + { + "epoch": 1.15, + "learning_rate": 2.4422219071682644e-06, + "loss": 1.0028, + "step": 2702 + }, + { + "epoch": 1.15, + "learning_rate": 2.441821908437295e-06, + "loss": 1.0324, + "step": 2703 + }, + { + "epoch": 1.15, + "learning_rate": 2.4414217991154443e-06, + "loss": 1.0685, + "step": 2704 + }, + { + "epoch": 1.15, + "learning_rate": 2.4410215792496943e-06, + "loss": 0.8754, + "step": 2705 + }, + { + "epoch": 1.15, + "learning_rate": 2.4406212488870383e-06, + "loss": 1.2566, + "step": 2706 + }, + { + "epoch": 1.15, + "learning_rate": 2.4402208080744847e-06, + "loss": 1.0405, + "step": 2707 + }, + { + "epoch": 1.15, + "learning_rate": 2.4398202568590546e-06, + "loss": 0.8868, + "step": 2708 + }, + { + "epoch": 1.15, + "learning_rate": 2.439419595287781e-06, + "loss": 0.9321, + "step": 2709 + }, + { + "epoch": 1.15, + "learning_rate": 2.4390188234077113e-06, + "loss": 0.9362, + "step": 2710 + }, + { + "epoch": 1.15, + "learning_rate": 2.4386179412659044e-06, + "loss": 0.8097, + "step": 2711 + }, + { + "epoch": 1.15, + "learning_rate": 2.4382169489094325e-06, + "loss": 0.7423, + "step": 2712 + }, + { + "epoch": 1.15, + "learning_rate": 2.437815846385382e-06, + "loss": 0.9435, + "step": 2713 + }, + { + "epoch": 1.15, + "learning_rate": 2.4374146337408504e-06, + "loss": 1.1807, + "step": 2714 + }, + { + "epoch": 1.15, + "learning_rate": 2.4370133110229493e-06, + "loss": 1.0028, + "step": 2715 + }, + { + "epoch": 1.15, + "learning_rate": 2.4366118782788032e-06, + "loss": 1.0537, + "step": 2716 + }, + { + "epoch": 1.15, + "learning_rate": 2.4362103355555494e-06, + "loss": 1.0122, + "step": 2717 + }, + { + "epoch": 1.15, + "learning_rate": 2.435808682900337e-06, + "loss": 1.1843, + "step": 2718 + }, + { + "epoch": 1.15, + "learning_rate": 2.4354069203603296e-06, + "loss": 0.9758, + "step": 2719 + }, + { + "epoch": 1.15, + "learning_rate": 2.4350050479827037e-06, + "loss": 0.8752, + "step": 2720 + }, + { + "epoch": 1.15, + "learning_rate": 2.434603065814647e-06, + "loss": 0.8919, + "step": 2721 + }, + { + "epoch": 1.16, + "learning_rate": 2.434200973903362e-06, + "loss": 1.0056, + "step": 2722 + }, + { + "epoch": 1.16, + "learning_rate": 2.433798772296062e-06, + "loss": 0.909, + "step": 2723 + }, + { + "epoch": 1.16, + "learning_rate": 2.433396461039976e-06, + "loss": 1.2045, + "step": 2724 + }, + { + "epoch": 1.16, + "learning_rate": 2.432994040182343e-06, + "loss": 0.8423, + "step": 2725 + }, + { + "epoch": 1.16, + "learning_rate": 2.4325915097704174e-06, + "loss": 1.0705, + "step": 2726 + }, + { + "epoch": 1.16, + "learning_rate": 2.432188869851464e-06, + "loss": 0.8814, + "step": 2727 + }, + { + "epoch": 1.16, + "learning_rate": 2.4317861204727628e-06, + "loss": 1.0182, + "step": 2728 + }, + { + "epoch": 1.16, + "learning_rate": 2.4313832616816047e-06, + "loss": 0.6807, + "step": 2729 + }, + { + "epoch": 1.16, + "learning_rate": 2.430980293525295e-06, + "loss": 0.9818, + "step": 2730 + }, + { + "epoch": 1.16, + "learning_rate": 2.4305772160511506e-06, + "loss": 0.7988, + "step": 2731 + }, + { + "epoch": 1.16, + "learning_rate": 2.4301740293065024e-06, + "loss": 1.1167, + "step": 2732 + }, + { + "epoch": 1.16, + "learning_rate": 2.4297707333386925e-06, + "loss": 0.8922, + "step": 2733 + }, + { + "epoch": 1.16, + "learning_rate": 2.4293673281950772e-06, + "loss": 1.1808, + "step": 2734 + }, + { + "epoch": 1.16, + "learning_rate": 2.428963813923026e-06, + "loss": 0.7922, + "step": 2735 + }, + { + "epoch": 1.16, + "learning_rate": 2.4285601905699203e-06, + "loss": 0.7821, + "step": 2736 + }, + { + "epoch": 1.16, + "learning_rate": 2.4281564581831536e-06, + "loss": 0.5233, + "step": 2737 + }, + { + "epoch": 1.16, + "learning_rate": 2.4277526168101336e-06, + "loss": 1.1693, + "step": 2738 + }, + { + "epoch": 1.16, + "learning_rate": 2.4273486664982804e-06, + "loss": 1.1423, + "step": 2739 + }, + { + "epoch": 1.16, + "learning_rate": 2.426944607295027e-06, + "loss": 0.9868, + "step": 2740 + }, + { + "epoch": 1.16, + "learning_rate": 2.426540439247818e-06, + "loss": 0.8488, + "step": 2741 + }, + { + "epoch": 1.16, + "learning_rate": 2.4261361624041127e-06, + "loss": 0.9562, + "step": 2742 + }, + { + "epoch": 1.16, + "learning_rate": 2.4257317768113817e-06, + "loss": 1.1164, + "step": 2743 + }, + { + "epoch": 1.16, + "learning_rate": 2.425327282517109e-06, + "loss": 0.8914, + "step": 2744 + }, + { + "epoch": 1.17, + "learning_rate": 2.424922679568791e-06, + "loss": 0.6564, + "step": 2745 + }, + { + "epoch": 1.17, + "learning_rate": 2.424517968013938e-06, + "loss": 1.1139, + "step": 2746 + }, + { + "epoch": 1.17, + "learning_rate": 2.4241131479000713e-06, + "loss": 0.9337, + "step": 2747 + }, + { + "epoch": 1.17, + "learning_rate": 2.423708219274726e-06, + "loss": 0.8733, + "step": 2748 + }, + { + "epoch": 1.17, + "learning_rate": 2.42330318218545e-06, + "loss": 0.9905, + "step": 2749 + }, + { + "epoch": 1.17, + "learning_rate": 2.4228980366798034e-06, + "loss": 0.6101, + "step": 2750 + }, + { + "epoch": 1.17, + "learning_rate": 2.4224927828053593e-06, + "loss": 0.7379, + "step": 2751 + }, + { + "epoch": 1.17, + "learning_rate": 2.422087420609703e-06, + "loss": 0.9978, + "step": 2752 + }, + { + "epoch": 1.17, + "learning_rate": 2.4216819501404347e-06, + "loss": 0.881, + "step": 2753 + }, + { + "epoch": 1.17, + "learning_rate": 2.4212763714451636e-06, + "loss": 0.92, + "step": 2754 + }, + { + "epoch": 1.17, + "learning_rate": 2.4208706845715155e-06, + "loss": 0.8042, + "step": 2755 + }, + { + "epoch": 1.17, + "learning_rate": 2.420464889567126e-06, + "loss": 1.0109, + "step": 2756 + }, + { + "epoch": 1.17, + "learning_rate": 2.420058986479645e-06, + "loss": 1.2223, + "step": 2757 + }, + { + "epoch": 1.17, + "learning_rate": 2.419652975356734e-06, + "loss": 0.9562, + "step": 2758 + }, + { + "epoch": 1.17, + "learning_rate": 2.4192468562460684e-06, + "loss": 0.9775, + "step": 2759 + }, + { + "epoch": 1.17, + "learning_rate": 2.418840629195335e-06, + "loss": 0.8919, + "step": 2760 + }, + { + "epoch": 1.17, + "learning_rate": 2.4184342942522347e-06, + "loss": 1.0268, + "step": 2761 + }, + { + "epoch": 1.17, + "learning_rate": 2.4180278514644797e-06, + "loss": 1.0008, + "step": 2762 + }, + { + "epoch": 1.17, + "learning_rate": 2.4176213008797955e-06, + "loss": 1.0289, + "step": 2763 + }, + { + "epoch": 1.17, + "learning_rate": 2.4172146425459202e-06, + "loss": 0.9083, + "step": 2764 + }, + { + "epoch": 1.17, + "learning_rate": 2.4168078765106047e-06, + "loss": 0.8734, + "step": 2765 + }, + { + "epoch": 1.17, + "learning_rate": 2.416401002821612e-06, + "loss": 0.761, + "step": 2766 + }, + { + "epoch": 1.17, + "learning_rate": 2.4159940215267186e-06, + "loss": 1.0514, + "step": 2767 + }, + { + "epoch": 1.18, + "learning_rate": 2.4155869326737133e-06, + "loss": 0.7746, + "step": 2768 + }, + { + "epoch": 1.18, + "learning_rate": 2.415179736310397e-06, + "loss": 0.8407, + "step": 2769 + }, + { + "epoch": 1.18, + "learning_rate": 2.4147724324845834e-06, + "loss": 1.0831, + "step": 2770 + }, + { + "epoch": 1.18, + "learning_rate": 2.4143650212441003e-06, + "loss": 0.9816, + "step": 2771 + }, + { + "epoch": 1.18, + "learning_rate": 2.413957502636785e-06, + "loss": 0.9427, + "step": 2772 + }, + { + "epoch": 1.18, + "learning_rate": 2.4135498767104907e-06, + "loss": 0.8084, + "step": 2773 + }, + { + "epoch": 1.18, + "learning_rate": 2.4131421435130812e-06, + "loss": 1.02, + "step": 2774 + }, + { + "epoch": 1.18, + "learning_rate": 2.4127343030924336e-06, + "loss": 0.9371, + "step": 2775 + }, + { + "epoch": 1.18, + "learning_rate": 2.4123263554964373e-06, + "loss": 0.833, + "step": 2776 + }, + { + "epoch": 1.18, + "learning_rate": 2.4119183007729947e-06, + "loss": 1.1449, + "step": 2777 + }, + { + "epoch": 1.18, + "learning_rate": 2.41151013897002e-06, + "loss": 0.9315, + "step": 2778 + }, + { + "epoch": 1.18, + "learning_rate": 2.4111018701354413e-06, + "loss": 0.7589, + "step": 2779 + }, + { + "epoch": 1.18, + "learning_rate": 2.4106934943171977e-06, + "loss": 0.829, + "step": 2780 + }, + { + "epoch": 1.18, + "learning_rate": 2.410285011563242e-06, + "loss": 0.937, + "step": 2781 + }, + { + "epoch": 1.18, + "learning_rate": 2.4098764219215396e-06, + "loss": 1.1268, + "step": 2782 + }, + { + "epoch": 1.18, + "learning_rate": 2.409467725440067e-06, + "loss": 0.8948, + "step": 2783 + }, + { + "epoch": 1.18, + "learning_rate": 2.409058922166815e-06, + "loss": 0.8466, + "step": 2784 + }, + { + "epoch": 1.18, + "learning_rate": 2.408650012149786e-06, + "loss": 1.0918, + "step": 2785 + }, + { + "epoch": 1.18, + "learning_rate": 2.408240995436995e-06, + "loss": 1.0549, + "step": 2786 + }, + { + "epoch": 1.18, + "learning_rate": 2.40783187207647e-06, + "loss": 0.9655, + "step": 2787 + }, + { + "epoch": 1.18, + "learning_rate": 2.4074226421162517e-06, + "loss": 1.1514, + "step": 2788 + }, + { + "epoch": 1.18, + "learning_rate": 2.4070133056043913e-06, + "loss": 0.8514, + "step": 2789 + }, + { + "epoch": 1.18, + "learning_rate": 2.4066038625889553e-06, + "loss": 1.0648, + "step": 2790 + }, + { + "epoch": 1.19, + "learning_rate": 2.4061943131180217e-06, + "loss": 1.0354, + "step": 2791 + }, + { + "epoch": 1.19, + "learning_rate": 2.4057846572396786e-06, + "loss": 1.1063, + "step": 2792 + }, + { + "epoch": 1.19, + "learning_rate": 2.405374895002031e-06, + "loss": 1.1498, + "step": 2793 + }, + { + "epoch": 1.19, + "learning_rate": 2.4049650264531938e-06, + "loss": 0.8577, + "step": 2794 + }, + { + "epoch": 1.19, + "learning_rate": 2.404555051641294e-06, + "loss": 1.2796, + "step": 2795 + }, + { + "epoch": 1.19, + "learning_rate": 2.404144970614472e-06, + "loss": 0.9405, + "step": 2796 + }, + { + "epoch": 1.19, + "learning_rate": 2.40373478342088e-06, + "loss": 0.8857, + "step": 2797 + }, + { + "epoch": 1.19, + "learning_rate": 2.403324490108684e-06, + "loss": 0.9809, + "step": 2798 + }, + { + "epoch": 1.19, + "learning_rate": 2.4029140907260614e-06, + "loss": 1.1944, + "step": 2799 + }, + { + "epoch": 1.19, + "learning_rate": 2.4025035853212013e-06, + "loss": 1.0692, + "step": 2800 + }, + { + "epoch": 1.19, + "learning_rate": 2.4020929739423073e-06, + "loss": 0.98, + "step": 2801 + }, + { + "epoch": 1.19, + "learning_rate": 2.401682256637594e-06, + "loss": 1.3334, + "step": 2802 + }, + { + "epoch": 1.19, + "learning_rate": 2.4012714334552885e-06, + "loss": 0.8398, + "step": 2803 + }, + { + "epoch": 1.19, + "learning_rate": 2.4008605044436306e-06, + "loss": 0.9892, + "step": 2804 + }, + { + "epoch": 1.19, + "learning_rate": 2.4004494696508734e-06, + "loss": 1.056, + "step": 2805 + }, + { + "epoch": 1.19, + "learning_rate": 2.40003832912528e-06, + "loss": 1.0492, + "step": 2806 + }, + { + "epoch": 1.19, + "learning_rate": 2.3996270829151285e-06, + "loss": 1.1347, + "step": 2807 + }, + { + "epoch": 1.19, + "learning_rate": 2.3992157310687086e-06, + "loss": 0.7096, + "step": 2808 + }, + { + "epoch": 1.19, + "learning_rate": 2.3988042736343213e-06, + "loss": 1.0886, + "step": 2809 + }, + { + "epoch": 1.19, + "learning_rate": 2.3983927106602815e-06, + "loss": 0.9588, + "step": 2810 + }, + { + "epoch": 1.19, + "learning_rate": 2.3979810421949156e-06, + "loss": 1.0585, + "step": 2811 + }, + { + "epoch": 1.19, + "learning_rate": 2.397569268286563e-06, + "loss": 0.9141, + "step": 2812 + }, + { + "epoch": 1.19, + "learning_rate": 2.3971573889835743e-06, + "loss": 0.8462, + "step": 2813 + }, + { + "epoch": 1.2, + "learning_rate": 2.396745404334315e-06, + "loss": 0.9231, + "step": 2814 + }, + { + "epoch": 1.2, + "learning_rate": 2.396333314387159e-06, + "loss": 1.0558, + "step": 2815 + }, + { + "epoch": 1.2, + "learning_rate": 2.3959211191904963e-06, + "loss": 1.1094, + "step": 2816 + }, + { + "epoch": 1.2, + "learning_rate": 2.395508818792728e-06, + "loss": 1.1278, + "step": 2817 + }, + { + "epoch": 1.2, + "learning_rate": 2.3950964132422664e-06, + "loss": 1.0669, + "step": 2818 + }, + { + "epoch": 1.2, + "learning_rate": 2.3946839025875376e-06, + "loss": 1.1374, + "step": 2819 + }, + { + "epoch": 1.2, + "learning_rate": 2.3942712868769797e-06, + "loss": 1.0434, + "step": 2820 + }, + { + "epoch": 1.2, + "learning_rate": 2.3938585661590426e-06, + "loss": 0.9158, + "step": 2821 + }, + { + "epoch": 1.2, + "learning_rate": 2.393445740482189e-06, + "loss": 0.9039, + "step": 2822 + }, + { + "epoch": 1.2, + "learning_rate": 2.393032809894894e-06, + "loss": 0.9629, + "step": 2823 + }, + { + "epoch": 1.2, + "learning_rate": 2.3926197744456453e-06, + "loss": 0.5956, + "step": 2824 + }, + { + "epoch": 1.2, + "learning_rate": 2.392206634182941e-06, + "loss": 1.319, + "step": 2825 + }, + { + "epoch": 1.2, + "learning_rate": 2.3917933891552948e-06, + "loss": 1.0015, + "step": 2826 + }, + { + "epoch": 1.2, + "learning_rate": 2.3913800394112296e-06, + "loss": 0.9611, + "step": 2827 + }, + { + "epoch": 1.2, + "learning_rate": 2.3909665849992824e-06, + "loss": 1.0829, + "step": 2828 + }, + { + "epoch": 1.2, + "learning_rate": 2.3905530259680017e-06, + "loss": 1.3606, + "step": 2829 + }, + { + "epoch": 1.2, + "learning_rate": 2.3901393623659488e-06, + "loss": 0.8973, + "step": 2830 + }, + { + "epoch": 1.2, + "learning_rate": 2.389725594241697e-06, + "loss": 0.901, + "step": 2831 + }, + { + "epoch": 1.2, + "learning_rate": 2.3893117216438316e-06, + "loss": 1.1439, + "step": 2832 + }, + { + "epoch": 1.2, + "learning_rate": 2.3888977446209505e-06, + "loss": 1.0576, + "step": 2833 + }, + { + "epoch": 1.2, + "learning_rate": 2.3884836632216645e-06, + "loss": 1.1535, + "step": 2834 + }, + { + "epoch": 1.2, + "learning_rate": 2.3880694774945954e-06, + "loss": 0.7992, + "step": 2835 + }, + { + "epoch": 1.2, + "learning_rate": 2.387655187488378e-06, + "loss": 0.9871, + "step": 2836 + }, + { + "epoch": 1.21, + "learning_rate": 2.3872407932516584e-06, + "loss": 0.9733, + "step": 2837 + }, + { + "epoch": 1.21, + "learning_rate": 2.386826294833097e-06, + "loss": 1.023, + "step": 2838 + }, + { + "epoch": 1.21, + "learning_rate": 2.3864116922813646e-06, + "loss": 0.964, + "step": 2839 + }, + { + "epoch": 1.21, + "learning_rate": 2.385996985645145e-06, + "loss": 0.6308, + "step": 2840 + }, + { + "epoch": 1.21, + "learning_rate": 2.385582174973133e-06, + "loss": 0.9484, + "step": 2841 + }, + { + "epoch": 1.21, + "learning_rate": 2.3851672603140373e-06, + "loss": 0.4798, + "step": 2842 + }, + { + "epoch": 1.21, + "learning_rate": 2.384752241716579e-06, + "loss": 0.918, + "step": 2843 + }, + { + "epoch": 1.21, + "learning_rate": 2.3843371192294894e-06, + "loss": 1.0833, + "step": 2844 + }, + { + "epoch": 1.21, + "learning_rate": 2.3839218929015136e-06, + "loss": 0.8086, + "step": 2845 + }, + { + "epoch": 1.21, + "learning_rate": 2.3835065627814082e-06, + "loss": 1.6204, + "step": 2846 + }, + { + "epoch": 1.21, + "learning_rate": 2.383091128917942e-06, + "loss": 0.6789, + "step": 2847 + }, + { + "epoch": 1.21, + "learning_rate": 2.382675591359897e-06, + "loss": 0.7261, + "step": 2848 + }, + { + "epoch": 1.21, + "learning_rate": 2.3822599501560656e-06, + "loss": 0.6745, + "step": 2849 + }, + { + "epoch": 1.21, + "learning_rate": 2.381844205355254e-06, + "loss": 0.8865, + "step": 2850 + }, + { + "epoch": 1.21, + "learning_rate": 2.38142835700628e-06, + "loss": 1.1586, + "step": 2851 + }, + { + "epoch": 1.21, + "learning_rate": 2.3810124051579727e-06, + "loss": 1.0325, + "step": 2852 + }, + { + "epoch": 1.21, + "learning_rate": 2.3805963498591746e-06, + "loss": 0.7227, + "step": 2853 + }, + { + "epoch": 1.21, + "learning_rate": 2.3801801911587402e-06, + "loss": 0.7488, + "step": 2854 + }, + { + "epoch": 1.21, + "learning_rate": 2.3797639291055356e-06, + "loss": 1.1725, + "step": 2855 + }, + { + "epoch": 1.21, + "learning_rate": 2.379347563748439e-06, + "loss": 1.06, + "step": 2856 + }, + { + "epoch": 1.21, + "learning_rate": 2.3789310951363406e-06, + "loss": 1.0399, + "step": 2857 + }, + { + "epoch": 1.21, + "learning_rate": 2.378514523318144e-06, + "loss": 0.9466, + "step": 2858 + }, + { + "epoch": 1.21, + "learning_rate": 2.3780978483427637e-06, + "loss": 0.6784, + "step": 2859 + }, + { + "epoch": 1.21, + "learning_rate": 2.377681070259126e-06, + "loss": 1.1496, + "step": 2860 + }, + { + "epoch": 1.22, + "learning_rate": 2.3772641891161707e-06, + "loss": 1.0703, + "step": 2861 + }, + { + "epoch": 1.22, + "learning_rate": 2.3768472049628486e-06, + "loss": 0.7102, + "step": 2862 + }, + { + "epoch": 1.22, + "learning_rate": 2.376430117848123e-06, + "loss": 1.3137, + "step": 2863 + }, + { + "epoch": 1.22, + "learning_rate": 2.37601292782097e-06, + "loss": 0.634, + "step": 2864 + }, + { + "epoch": 1.22, + "learning_rate": 2.3755956349303753e-06, + "loss": 1.1246, + "step": 2865 + }, + { + "epoch": 1.22, + "learning_rate": 2.37517823922534e-06, + "loss": 0.8312, + "step": 2866 + }, + { + "epoch": 1.22, + "learning_rate": 2.374760740754874e-06, + "loss": 0.7662, + "step": 2867 + }, + { + "epoch": 1.22, + "learning_rate": 2.3743431395680027e-06, + "loss": 1.0413, + "step": 2868 + }, + { + "epoch": 1.22, + "learning_rate": 2.3739254357137615e-06, + "loss": 1.0735, + "step": 2869 + }, + { + "epoch": 1.22, + "learning_rate": 2.3735076292411967e-06, + "loss": 1.0198, + "step": 2870 + }, + { + "epoch": 1.22, + "learning_rate": 2.3730897201993693e-06, + "loss": 1.1502, + "step": 2871 + }, + { + "epoch": 1.22, + "learning_rate": 2.3726717086373512e-06, + "loss": 1.0561, + "step": 2872 + }, + { + "epoch": 1.22, + "learning_rate": 2.372253594604226e-06, + "loss": 1.2673, + "step": 2873 + }, + { + "epoch": 1.22, + "learning_rate": 2.371835378149089e-06, + "loss": 0.9224, + "step": 2874 + }, + { + "epoch": 1.22, + "learning_rate": 2.3714170593210484e-06, + "loss": 0.9505, + "step": 2875 + }, + { + "epoch": 1.22, + "learning_rate": 2.370998638169225e-06, + "loss": 0.8496, + "step": 2876 + }, + { + "epoch": 1.22, + "learning_rate": 2.3705801147427508e-06, + "loss": 0.9709, + "step": 2877 + }, + { + "epoch": 1.22, + "learning_rate": 2.370161489090768e-06, + "loss": 1.0023, + "step": 2878 + }, + { + "epoch": 1.22, + "learning_rate": 2.3697427612624345e-06, + "loss": 0.7389, + "step": 2879 + }, + { + "epoch": 1.22, + "learning_rate": 2.3693239313069177e-06, + "loss": 0.8942, + "step": 2880 + }, + { + "epoch": 1.22, + "learning_rate": 2.3689049992733967e-06, + "loss": 1.0081, + "step": 2881 + }, + { + "epoch": 1.22, + "learning_rate": 2.3684859652110646e-06, + "loss": 1.0597, + "step": 2882 + }, + { + "epoch": 1.22, + "learning_rate": 2.368066829169125e-06, + "loss": 0.8788, + "step": 2883 + }, + { + "epoch": 1.23, + "learning_rate": 2.3676475911967937e-06, + "loss": 1.0701, + "step": 2884 + }, + { + "epoch": 1.23, + "learning_rate": 2.3672282513432987e-06, + "loss": 1.055, + "step": 2885 + }, + { + "epoch": 1.23, + "learning_rate": 2.366808809657879e-06, + "loss": 0.9614, + "step": 2886 + }, + { + "epoch": 1.23, + "learning_rate": 2.366389266189788e-06, + "loss": 0.8948, + "step": 2887 + }, + { + "epoch": 1.23, + "learning_rate": 2.365969620988288e-06, + "loss": 1.2991, + "step": 2888 + }, + { + "epoch": 1.23, + "learning_rate": 2.3655498741026557e-06, + "loss": 1.0858, + "step": 2889 + }, + { + "epoch": 1.23, + "learning_rate": 2.3651300255821784e-06, + "loss": 1.0444, + "step": 2890 + }, + { + "epoch": 1.23, + "learning_rate": 2.3647100754761556e-06, + "loss": 1.0012, + "step": 2891 + }, + { + "epoch": 1.23, + "learning_rate": 2.3642900238338987e-06, + "loss": 0.9467, + "step": 2892 + }, + { + "epoch": 1.23, + "learning_rate": 2.3638698707047307e-06, + "loss": 0.7468, + "step": 2893 + }, + { + "epoch": 1.23, + "learning_rate": 2.3634496161379885e-06, + "loss": 0.9432, + "step": 2894 + }, + { + "epoch": 1.23, + "learning_rate": 2.3630292601830175e-06, + "loss": 0.8355, + "step": 2895 + }, + { + "epoch": 1.23, + "learning_rate": 2.362608802889178e-06, + "loss": 1.2786, + "step": 2896 + }, + { + "epoch": 1.23, + "learning_rate": 2.362188244305841e-06, + "loss": 1.1297, + "step": 2897 + }, + { + "epoch": 1.23, + "learning_rate": 2.3617675844823888e-06, + "loss": 0.9534, + "step": 2898 + }, + { + "epoch": 1.23, + "learning_rate": 2.361346823468217e-06, + "loss": 0.5672, + "step": 2899 + }, + { + "epoch": 1.23, + "learning_rate": 2.3609259613127315e-06, + "loss": 1.0009, + "step": 2900 + }, + { + "epoch": 1.23, + "eval_loss": 1.25594961643219, + "eval_runtime": 32.2074, + "eval_samples_per_second": 38.656, + "eval_steps_per_second": 19.343, + "step": 2900 + }, + { + "epoch": 1.23, + "learning_rate": 2.3605049980653514e-06, + "loss": 1.1159, + "step": 2901 + }, + { + "epoch": 1.23, + "learning_rate": 2.3600839337755075e-06, + "loss": 0.9947, + "step": 2902 + }, + { + "epoch": 1.23, + "learning_rate": 2.3596627684926416e-06, + "loss": 1.0054, + "step": 2903 + }, + { + "epoch": 1.23, + "learning_rate": 2.359241502266208e-06, + "loss": 1.0574, + "step": 2904 + }, + { + "epoch": 1.23, + "learning_rate": 2.3588201351456724e-06, + "loss": 0.9696, + "step": 2905 + }, + { + "epoch": 1.23, + "learning_rate": 2.358398667180514e-06, + "loss": 0.9578, + "step": 2906 + }, + { + "epoch": 1.24, + "learning_rate": 2.357977098420221e-06, + "loss": 1.3099, + "step": 2907 + }, + { + "epoch": 1.24, + "learning_rate": 2.357555428914295e-06, + "loss": 1.2034, + "step": 2908 + }, + { + "epoch": 1.24, + "learning_rate": 2.357133658712251e-06, + "loss": 0.9202, + "step": 2909 + }, + { + "epoch": 1.24, + "learning_rate": 2.3567117878636127e-06, + "loss": 1.1987, + "step": 2910 + }, + { + "epoch": 1.24, + "learning_rate": 2.3562898164179177e-06, + "loss": 0.5331, + "step": 2911 + }, + { + "epoch": 1.24, + "learning_rate": 2.355867744424715e-06, + "loss": 0.7917, + "step": 2912 + }, + { + "epoch": 1.24, + "learning_rate": 2.3554455719335647e-06, + "loss": 0.7829, + "step": 2913 + }, + { + "epoch": 1.24, + "learning_rate": 2.35502329899404e-06, + "loss": 0.967, + "step": 2914 + }, + { + "epoch": 1.24, + "learning_rate": 2.354600925655724e-06, + "loss": 0.892, + "step": 2915 + }, + { + "epoch": 1.24, + "learning_rate": 2.3541784519682143e-06, + "loss": 0.8996, + "step": 2916 + }, + { + "epoch": 1.24, + "learning_rate": 2.3537558779811176e-06, + "loss": 1.1004, + "step": 2917 + }, + { + "epoch": 1.24, + "learning_rate": 2.353333203744054e-06, + "loss": 0.7529, + "step": 2918 + }, + { + "epoch": 1.24, + "learning_rate": 2.3529104293066543e-06, + "loss": 0.7379, + "step": 2919 + }, + { + "epoch": 1.24, + "learning_rate": 2.352487554718562e-06, + "loss": 0.7765, + "step": 2920 + }, + { + "epoch": 1.24, + "learning_rate": 2.3520645800294324e-06, + "loss": 0.8713, + "step": 2921 + }, + { + "epoch": 1.24, + "learning_rate": 2.351641505288932e-06, + "loss": 1.0416, + "step": 2922 + }, + { + "epoch": 1.24, + "learning_rate": 2.351218330546739e-06, + "loss": 0.9741, + "step": 2923 + }, + { + "epoch": 1.24, + "learning_rate": 2.350795055852543e-06, + "loss": 0.9232, + "step": 2924 + }, + { + "epoch": 1.24, + "learning_rate": 2.3503716812560467e-06, + "loss": 1.1406, + "step": 2925 + }, + { + "epoch": 1.24, + "learning_rate": 2.3499482068069635e-06, + "loss": 0.8872, + "step": 2926 + }, + { + "epoch": 1.24, + "learning_rate": 2.349524632555019e-06, + "loss": 0.9954, + "step": 2927 + }, + { + "epoch": 1.24, + "learning_rate": 2.3491009585499492e-06, + "loss": 0.916, + "step": 2928 + }, + { + "epoch": 1.24, + "learning_rate": 2.3486771848415042e-06, + "loss": 1.3307, + "step": 2929 + }, + { + "epoch": 1.25, + "learning_rate": 2.3482533114794437e-06, + "loss": 1.0902, + "step": 2930 + }, + { + "epoch": 1.25, + "learning_rate": 2.3478293385135397e-06, + "loss": 0.9234, + "step": 2931 + }, + { + "epoch": 1.25, + "learning_rate": 2.3474052659935774e-06, + "loss": 0.8208, + "step": 2932 + }, + { + "epoch": 1.25, + "learning_rate": 2.3469810939693505e-06, + "loss": 1.141, + "step": 2933 + }, + { + "epoch": 1.25, + "learning_rate": 2.3465568224906675e-06, + "loss": 0.9672, + "step": 2934 + }, + { + "epoch": 1.25, + "learning_rate": 2.3461324516073467e-06, + "loss": 1.0003, + "step": 2935 + }, + { + "epoch": 1.25, + "learning_rate": 2.3457079813692194e-06, + "loss": 0.8266, + "step": 2936 + }, + { + "epoch": 1.25, + "learning_rate": 2.345283411826127e-06, + "loss": 1.0491, + "step": 2937 + }, + { + "epoch": 1.25, + "learning_rate": 2.3448587430279243e-06, + "loss": 1.2875, + "step": 2938 + }, + { + "epoch": 1.25, + "learning_rate": 2.344433975024476e-06, + "loss": 0.8332, + "step": 2939 + }, + { + "epoch": 1.25, + "learning_rate": 2.3440091078656605e-06, + "loss": 0.9092, + "step": 2940 + }, + { + "epoch": 1.25, + "learning_rate": 2.3435841416013653e-06, + "loss": 0.847, + "step": 2941 + }, + { + "epoch": 1.25, + "learning_rate": 2.343159076281492e-06, + "loss": 0.9053, + "step": 2942 + }, + { + "epoch": 1.25, + "learning_rate": 2.3427339119559524e-06, + "loss": 0.7659, + "step": 2943 + }, + { + "epoch": 1.25, + "learning_rate": 2.34230864867467e-06, + "loss": 0.8783, + "step": 2944 + }, + { + "epoch": 1.25, + "learning_rate": 2.34188328648758e-06, + "loss": 1.0908, + "step": 2945 + }, + { + "epoch": 1.25, + "learning_rate": 2.3414578254446298e-06, + "loss": 1.061, + "step": 2946 + }, + { + "epoch": 1.25, + "learning_rate": 2.3410322655957786e-06, + "loss": 0.892, + "step": 2947 + }, + { + "epoch": 1.25, + "learning_rate": 2.3406066069909952e-06, + "loss": 0.9572, + "step": 2948 + }, + { + "epoch": 1.25, + "learning_rate": 2.3401808496802627e-06, + "loss": 0.9294, + "step": 2949 + }, + { + "epoch": 1.25, + "learning_rate": 2.3397549937135737e-06, + "loss": 0.9175, + "step": 2950 + }, + { + "epoch": 1.25, + "learning_rate": 2.3393290391409338e-06, + "loss": 1.285, + "step": 2951 + }, + { + "epoch": 1.25, + "learning_rate": 2.338902986012359e-06, + "loss": 0.8222, + "step": 2952 + }, + { + "epoch": 1.26, + "learning_rate": 2.3384768343778777e-06, + "loss": 1.0977, + "step": 2953 + }, + { + "epoch": 1.26, + "learning_rate": 2.3380505842875296e-06, + "loss": 0.9696, + "step": 2954 + }, + { + "epoch": 1.26, + "learning_rate": 2.3376242357913657e-06, + "loss": 0.9841, + "step": 2955 + }, + { + "epoch": 1.26, + "learning_rate": 2.3371977889394496e-06, + "loss": 0.7337, + "step": 2956 + }, + { + "epoch": 1.26, + "learning_rate": 2.3367712437818544e-06, + "loss": 0.8417, + "step": 2957 + }, + { + "epoch": 1.26, + "learning_rate": 2.3363446003686677e-06, + "loss": 0.8971, + "step": 2958 + }, + { + "epoch": 1.26, + "learning_rate": 2.3359178587499847e-06, + "loss": 0.8332, + "step": 2959 + }, + { + "epoch": 1.26, + "learning_rate": 2.3354910189759164e-06, + "loss": 0.9011, + "step": 2960 + }, + { + "epoch": 1.26, + "learning_rate": 2.3350640810965824e-06, + "loss": 1.1907, + "step": 2961 + }, + { + "epoch": 1.26, + "learning_rate": 2.3346370451621146e-06, + "loss": 0.958, + "step": 2962 + }, + { + "epoch": 1.26, + "learning_rate": 2.3342099112226575e-06, + "loss": 1.1906, + "step": 2963 + }, + { + "epoch": 1.26, + "learning_rate": 2.3337826793283646e-06, + "loss": 1.2538, + "step": 2964 + }, + { + "epoch": 1.26, + "learning_rate": 2.3333553495294033e-06, + "loss": 1.2149, + "step": 2965 + }, + { + "epoch": 1.26, + "learning_rate": 2.3329279218759524e-06, + "loss": 1.0179, + "step": 2966 + }, + { + "epoch": 1.26, + "learning_rate": 2.3325003964182e-06, + "loss": 0.9796, + "step": 2967 + }, + { + "epoch": 1.26, + "learning_rate": 2.3320727732063477e-06, + "loss": 0.8586, + "step": 2968 + }, + { + "epoch": 1.26, + "learning_rate": 2.3316450522906087e-06, + "loss": 0.6425, + "step": 2969 + }, + { + "epoch": 1.26, + "learning_rate": 2.3312172337212057e-06, + "loss": 1.1595, + "step": 2970 + }, + { + "epoch": 1.26, + "learning_rate": 2.330789317548375e-06, + "loss": 1.3341, + "step": 2971 + }, + { + "epoch": 1.26, + "learning_rate": 2.330361303822363e-06, + "loss": 0.925, + "step": 2972 + }, + { + "epoch": 1.26, + "learning_rate": 2.3299331925934284e-06, + "loss": 1.059, + "step": 2973 + }, + { + "epoch": 1.26, + "learning_rate": 2.329504983911841e-06, + "loss": 0.6899, + "step": 2974 + }, + { + "epoch": 1.26, + "learning_rate": 2.3290766778278827e-06, + "loss": 0.8483, + "step": 2975 + }, + { + "epoch": 1.26, + "learning_rate": 2.3286482743918447e-06, + "loss": 1.09, + "step": 2976 + }, + { + "epoch": 1.27, + "learning_rate": 2.3282197736540315e-06, + "loss": 0.8289, + "step": 2977 + }, + { + "epoch": 1.27, + "learning_rate": 2.3277911756647598e-06, + "loss": 0.7575, + "step": 2978 + }, + { + "epoch": 1.27, + "learning_rate": 2.327362480474355e-06, + "loss": 1.2306, + "step": 2979 + }, + { + "epoch": 1.27, + "learning_rate": 2.3269336881331565e-06, + "loss": 0.8603, + "step": 2980 + }, + { + "epoch": 1.27, + "learning_rate": 2.326504798691514e-06, + "loss": 0.984, + "step": 2981 + }, + { + "epoch": 1.27, + "learning_rate": 2.326075812199788e-06, + "loss": 0.769, + "step": 2982 + }, + { + "epoch": 1.27, + "learning_rate": 2.325646728708352e-06, + "loss": 0.8422, + "step": 2983 + }, + { + "epoch": 1.27, + "learning_rate": 2.325217548267589e-06, + "loss": 0.7701, + "step": 2984 + }, + { + "epoch": 1.27, + "learning_rate": 2.3247882709278956e-06, + "loss": 1.311, + "step": 2985 + }, + { + "epoch": 1.27, + "learning_rate": 2.324358896739677e-06, + "loss": 0.6014, + "step": 2986 + }, + { + "epoch": 1.27, + "learning_rate": 2.3239294257533526e-06, + "loss": 1.0488, + "step": 2987 + }, + { + "epoch": 1.27, + "learning_rate": 2.323499858019351e-06, + "loss": 1.1331, + "step": 2988 + }, + { + "epoch": 1.27, + "learning_rate": 2.323070193588113e-06, + "loss": 1.1757, + "step": 2989 + }, + { + "epoch": 1.27, + "learning_rate": 2.3226404325100923e-06, + "loss": 1.0591, + "step": 2990 + }, + { + "epoch": 1.27, + "learning_rate": 2.3222105748357505e-06, + "loss": 1.022, + "step": 2991 + }, + { + "epoch": 1.27, + "learning_rate": 2.3217806206155638e-06, + "loss": 1.1803, + "step": 2992 + }, + { + "epoch": 1.27, + "learning_rate": 2.321350569900017e-06, + "loss": 0.799, + "step": 2993 + }, + { + "epoch": 1.27, + "learning_rate": 2.320920422739609e-06, + "loss": 1.0947, + "step": 2994 + }, + { + "epoch": 1.27, + "learning_rate": 2.3204901791848477e-06, + "loss": 0.8649, + "step": 2995 + }, + { + "epoch": 1.27, + "learning_rate": 2.3200598392862545e-06, + "loss": 0.9351, + "step": 2996 + }, + { + "epoch": 1.27, + "learning_rate": 2.3196294030943593e-06, + "loss": 1.0317, + "step": 2997 + }, + { + "epoch": 1.27, + "learning_rate": 2.3191988706597066e-06, + "loss": 0.8338, + "step": 2998 + }, + { + "epoch": 1.27, + "learning_rate": 2.318768242032849e-06, + "loss": 0.9996, + "step": 2999 + }, + { + "epoch": 1.28, + "learning_rate": 2.3183375172643526e-06, + "loss": 0.8244, + "step": 3000 + }, + { + "epoch": 1.28, + "learning_rate": 2.317906696404794e-06, + "loss": 1.0023, + "step": 3001 + }, + { + "epoch": 1.28, + "learning_rate": 2.317475779504761e-06, + "loss": 0.9649, + "step": 3002 + }, + { + "epoch": 1.28, + "learning_rate": 2.3170447666148536e-06, + "loss": 0.9936, + "step": 3003 + }, + { + "epoch": 1.28, + "learning_rate": 2.316613657785682e-06, + "loss": 1.0419, + "step": 3004 + }, + { + "epoch": 1.28, + "learning_rate": 2.316182453067867e-06, + "loss": 0.8273, + "step": 3005 + }, + { + "epoch": 1.28, + "learning_rate": 2.3157511525120426e-06, + "loss": 0.9323, + "step": 3006 + }, + { + "epoch": 1.28, + "learning_rate": 2.3153197561688532e-06, + "loss": 0.8961, + "step": 3007 + }, + { + "epoch": 1.28, + "learning_rate": 2.314888264088953e-06, + "loss": 0.8547, + "step": 3008 + }, + { + "epoch": 1.28, + "learning_rate": 2.314456676323011e-06, + "loss": 0.9892, + "step": 3009 + }, + { + "epoch": 1.28, + "learning_rate": 2.3140249929217034e-06, + "loss": 0.8362, + "step": 3010 + }, + { + "epoch": 1.28, + "learning_rate": 2.3135932139357207e-06, + "loss": 1.0033, + "step": 3011 + }, + { + "epoch": 1.28, + "learning_rate": 2.3131613394157617e-06, + "loss": 1.3095, + "step": 3012 + }, + { + "epoch": 1.28, + "learning_rate": 2.31272936941254e-06, + "loss": 0.7612, + "step": 3013 + }, + { + "epoch": 1.28, + "learning_rate": 2.312297303976777e-06, + "loss": 0.9912, + "step": 3014 + }, + { + "epoch": 1.28, + "learning_rate": 2.311865143159208e-06, + "loss": 0.9927, + "step": 3015 + }, + { + "epoch": 1.28, + "learning_rate": 2.311432887010578e-06, + "loss": 1.0486, + "step": 3016 + }, + { + "epoch": 1.28, + "learning_rate": 2.311000535581643e-06, + "loss": 1.1285, + "step": 3017 + }, + { + "epoch": 1.28, + "learning_rate": 2.310568088923171e-06, + "loss": 0.6829, + "step": 3018 + }, + { + "epoch": 1.28, + "learning_rate": 2.310135547085941e-06, + "loss": 0.67, + "step": 3019 + }, + { + "epoch": 1.28, + "learning_rate": 2.3097029101207427e-06, + "loss": 0.9994, + "step": 3020 + }, + { + "epoch": 1.28, + "learning_rate": 2.3092701780783773e-06, + "loss": 0.8873, + "step": 3021 + }, + { + "epoch": 1.28, + "learning_rate": 2.3088373510096578e-06, + "loss": 1.1709, + "step": 3022 + }, + { + "epoch": 1.29, + "learning_rate": 2.3084044289654073e-06, + "loss": 1.0295, + "step": 3023 + }, + { + "epoch": 1.29, + "learning_rate": 2.30797141199646e-06, + "loss": 0.6688, + "step": 3024 + }, + { + "epoch": 1.29, + "learning_rate": 2.307538300153663e-06, + "loss": 0.9388, + "step": 3025 + }, + { + "epoch": 1.29, + "learning_rate": 2.3071050934878724e-06, + "loss": 0.8683, + "step": 3026 + }, + { + "epoch": 1.29, + "learning_rate": 2.3066717920499563e-06, + "loss": 0.9259, + "step": 3027 + }, + { + "epoch": 1.29, + "learning_rate": 2.306238395890794e-06, + "loss": 0.9722, + "step": 3028 + }, + { + "epoch": 1.29, + "learning_rate": 2.305804905061277e-06, + "loss": 1.0382, + "step": 3029 + }, + { + "epoch": 1.29, + "learning_rate": 2.305371319612305e-06, + "loss": 0.8018, + "step": 3030 + }, + { + "epoch": 1.29, + "learning_rate": 2.3049376395947908e-06, + "loss": 0.8077, + "step": 3031 + }, + { + "epoch": 1.29, + "learning_rate": 2.3045038650596596e-06, + "loss": 0.8918, + "step": 3032 + }, + { + "epoch": 1.29, + "learning_rate": 2.3040699960578453e-06, + "loss": 0.5507, + "step": 3033 + }, + { + "epoch": 1.29, + "learning_rate": 2.3036360326402935e-06, + "loss": 0.8343, + "step": 3034 + }, + { + "epoch": 1.29, + "learning_rate": 2.3032019748579614e-06, + "loss": 1.2425, + "step": 3035 + }, + { + "epoch": 1.29, + "learning_rate": 2.3027678227618174e-06, + "loss": 0.9894, + "step": 3036 + }, + { + "epoch": 1.29, + "learning_rate": 2.30233357640284e-06, + "loss": 1.2346, + "step": 3037 + }, + { + "epoch": 1.29, + "learning_rate": 2.30189923583202e-06, + "loss": 1.2687, + "step": 3038 + }, + { + "epoch": 1.29, + "learning_rate": 2.301464801100358e-06, + "loss": 0.9123, + "step": 3039 + }, + { + "epoch": 1.29, + "learning_rate": 2.3010302722588674e-06, + "loss": 1.0863, + "step": 3040 + }, + { + "epoch": 1.29, + "learning_rate": 2.300595649358571e-06, + "loss": 1.1948, + "step": 3041 + }, + { + "epoch": 1.29, + "learning_rate": 2.300160932450502e-06, + "loss": 0.7198, + "step": 3042 + }, + { + "epoch": 1.29, + "learning_rate": 2.2997261215857076e-06, + "loss": 1.2074, + "step": 3043 + }, + { + "epoch": 1.29, + "learning_rate": 2.299291216815244e-06, + "loss": 1.1621, + "step": 3044 + }, + { + "epoch": 1.29, + "learning_rate": 2.298856218190178e-06, + "loss": 0.8367, + "step": 3045 + }, + { + "epoch": 1.3, + "learning_rate": 2.2984211257615882e-06, + "loss": 1.028, + "step": 3046 + }, + { + "epoch": 1.3, + "learning_rate": 2.2979859395805646e-06, + "loss": 0.9555, + "step": 3047 + }, + { + "epoch": 1.3, + "learning_rate": 2.297550659698208e-06, + "loss": 0.6628, + "step": 3048 + }, + { + "epoch": 1.3, + "learning_rate": 2.297115286165629e-06, + "loss": 0.9246, + "step": 3049 + }, + { + "epoch": 1.3, + "learning_rate": 2.2966798190339513e-06, + "loss": 1.0204, + "step": 3050 + }, + { + "epoch": 1.3, + "learning_rate": 2.296244258354308e-06, + "loss": 0.6101, + "step": 3051 + }, + { + "epoch": 1.3, + "learning_rate": 2.2958086041778426e-06, + "loss": 0.8934, + "step": 3052 + }, + { + "epoch": 1.3, + "learning_rate": 2.295372856555712e-06, + "loss": 0.7568, + "step": 3053 + }, + { + "epoch": 1.3, + "learning_rate": 2.294937015539082e-06, + "loss": 0.6779, + "step": 3054 + }, + { + "epoch": 1.3, + "learning_rate": 2.2945010811791303e-06, + "loss": 1.107, + "step": 3055 + }, + { + "epoch": 1.3, + "learning_rate": 2.2940650535270454e-06, + "loss": 0.9597, + "step": 3056 + }, + { + "epoch": 1.3, + "learning_rate": 2.293628932634026e-06, + "loss": 1.0839, + "step": 3057 + }, + { + "epoch": 1.3, + "learning_rate": 2.2931927185512837e-06, + "loss": 0.9173, + "step": 3058 + }, + { + "epoch": 1.3, + "learning_rate": 2.2927564113300386e-06, + "loss": 0.9196, + "step": 3059 + }, + { + "epoch": 1.3, + "learning_rate": 2.292320011021523e-06, + "loss": 1.2273, + "step": 3060 + }, + { + "epoch": 1.3, + "learning_rate": 2.2918835176769803e-06, + "loss": 1.0475, + "step": 3061 + }, + { + "epoch": 1.3, + "learning_rate": 2.291446931347665e-06, + "loss": 1.0722, + "step": 3062 + }, + { + "epoch": 1.3, + "learning_rate": 2.2910102520848415e-06, + "loss": 0.7268, + "step": 3063 + }, + { + "epoch": 1.3, + "learning_rate": 2.2905734799397854e-06, + "loss": 1.0647, + "step": 3064 + }, + { + "epoch": 1.3, + "learning_rate": 2.290136614963784e-06, + "loss": 1.1908, + "step": 3065 + }, + { + "epoch": 1.3, + "learning_rate": 2.2896996572081353e-06, + "loss": 0.9202, + "step": 3066 + }, + { + "epoch": 1.3, + "learning_rate": 2.2892626067241466e-06, + "loss": 1.0727, + "step": 3067 + }, + { + "epoch": 1.3, + "learning_rate": 2.2888254635631386e-06, + "loss": 1.0912, + "step": 3068 + }, + { + "epoch": 1.31, + "learning_rate": 2.2883882277764414e-06, + "loss": 1.0252, + "step": 3069 + }, + { + "epoch": 1.31, + "learning_rate": 2.287950899415396e-06, + "loss": 1.2209, + "step": 3070 + }, + { + "epoch": 1.31, + "learning_rate": 2.2875134785313545e-06, + "loss": 0.7629, + "step": 3071 + }, + { + "epoch": 1.31, + "learning_rate": 2.2870759651756798e-06, + "loss": 1.116, + "step": 3072 + }, + { + "epoch": 1.31, + "learning_rate": 2.286638359399746e-06, + "loss": 1.0799, + "step": 3073 + }, + { + "epoch": 1.31, + "learning_rate": 2.2862006612549374e-06, + "loss": 0.7917, + "step": 3074 + }, + { + "epoch": 1.31, + "learning_rate": 2.28576287079265e-06, + "loss": 0.8531, + "step": 3075 + }, + { + "epoch": 1.31, + "learning_rate": 2.2853249880642898e-06, + "loss": 0.9548, + "step": 3076 + }, + { + "epoch": 1.31, + "learning_rate": 2.2848870131212737e-06, + "loss": 1.1134, + "step": 3077 + }, + { + "epoch": 1.31, + "learning_rate": 2.2844489460150306e-06, + "loss": 0.9525, + "step": 3078 + }, + { + "epoch": 1.31, + "learning_rate": 2.2840107867969987e-06, + "loss": 0.865, + "step": 3079 + }, + { + "epoch": 1.31, + "learning_rate": 2.2835725355186277e-06, + "loss": 0.903, + "step": 3080 + }, + { + "epoch": 1.31, + "learning_rate": 2.283134192231378e-06, + "loss": 0.7751, + "step": 3081 + }, + { + "epoch": 1.31, + "learning_rate": 2.2826957569867214e-06, + "loss": 1.4039, + "step": 3082 + }, + { + "epoch": 1.31, + "learning_rate": 2.282257229836139e-06, + "loss": 1.1211, + "step": 3083 + }, + { + "epoch": 1.31, + "learning_rate": 2.2818186108311247e-06, + "loss": 0.8848, + "step": 3084 + }, + { + "epoch": 1.31, + "learning_rate": 2.281379900023182e-06, + "loss": 0.841, + "step": 3085 + }, + { + "epoch": 1.31, + "learning_rate": 2.2809410974638246e-06, + "loss": 0.9771, + "step": 3086 + }, + { + "epoch": 1.31, + "learning_rate": 2.280502203204578e-06, + "loss": 0.9607, + "step": 3087 + }, + { + "epoch": 1.31, + "learning_rate": 2.2800632172969785e-06, + "loss": 0.9655, + "step": 3088 + }, + { + "epoch": 1.31, + "learning_rate": 2.2796241397925727e-06, + "loss": 1.2565, + "step": 3089 + }, + { + "epoch": 1.31, + "learning_rate": 2.279184970742918e-06, + "loss": 0.7441, + "step": 3090 + }, + { + "epoch": 1.31, + "learning_rate": 2.2787457101995825e-06, + "loss": 0.5813, + "step": 3091 + }, + { + "epoch": 1.32, + "learning_rate": 2.2783063582141454e-06, + "loss": 0.7168, + "step": 3092 + }, + { + "epoch": 1.32, + "learning_rate": 2.277866914838196e-06, + "loss": 1.2366, + "step": 3093 + }, + { + "epoch": 1.32, + "learning_rate": 2.2774273801233354e-06, + "loss": 0.9876, + "step": 3094 + }, + { + "epoch": 1.32, + "learning_rate": 2.2769877541211746e-06, + "loss": 0.8084, + "step": 3095 + }, + { + "epoch": 1.32, + "learning_rate": 2.2765480368833354e-06, + "loss": 0.9772, + "step": 3096 + }, + { + "epoch": 1.32, + "learning_rate": 2.27610822846145e-06, + "loss": 0.7533, + "step": 3097 + }, + { + "epoch": 1.32, + "learning_rate": 2.275668328907162e-06, + "loss": 0.8046, + "step": 3098 + }, + { + "epoch": 1.32, + "learning_rate": 2.2752283382721254e-06, + "loss": 0.927, + "step": 3099 + }, + { + "epoch": 1.32, + "learning_rate": 2.2747882566080057e-06, + "loss": 0.6188, + "step": 3100 + }, + { + "epoch": 1.32, + "learning_rate": 2.2743480839664765e-06, + "loss": 1.0142, + "step": 3101 + }, + { + "epoch": 1.32, + "learning_rate": 2.273907820399226e-06, + "loss": 0.9636, + "step": 3102 + }, + { + "epoch": 1.32, + "learning_rate": 2.2734674659579493e-06, + "loss": 0.9135, + "step": 3103 + }, + { + "epoch": 1.32, + "learning_rate": 2.2730270206943547e-06, + "loss": 0.7435, + "step": 3104 + }, + { + "epoch": 1.32, + "learning_rate": 2.2725864846601594e-06, + "loss": 0.9903, + "step": 3105 + }, + { + "epoch": 1.32, + "learning_rate": 2.2721458579070935e-06, + "loss": 1.2405, + "step": 3106 + }, + { + "epoch": 1.32, + "learning_rate": 2.2717051404868955e-06, + "loss": 0.8921, + "step": 3107 + }, + { + "epoch": 1.32, + "learning_rate": 2.2712643324513156e-06, + "loss": 0.994, + "step": 3108 + }, + { + "epoch": 1.32, + "learning_rate": 2.2708234338521144e-06, + "loss": 0.7448, + "step": 3109 + }, + { + "epoch": 1.32, + "learning_rate": 2.2703824447410634e-06, + "loss": 0.8288, + "step": 3110 + }, + { + "epoch": 1.32, + "learning_rate": 2.2699413651699445e-06, + "loss": 0.9893, + "step": 3111 + }, + { + "epoch": 1.32, + "learning_rate": 2.26950019519055e-06, + "loss": 1.0783, + "step": 3112 + }, + { + "epoch": 1.32, + "learning_rate": 2.2690589348546837e-06, + "loss": 0.8984, + "step": 3113 + }, + { + "epoch": 1.32, + "learning_rate": 2.2686175842141587e-06, + "loss": 0.7797, + "step": 3114 + }, + { + "epoch": 1.32, + "learning_rate": 2.2681761433208e-06, + "loss": 0.8078, + "step": 3115 + }, + { + "epoch": 1.33, + "learning_rate": 2.2677346122264417e-06, + "loss": 0.9046, + "step": 3116 + }, + { + "epoch": 1.33, + "learning_rate": 2.2672929909829306e-06, + "loss": 1.0483, + "step": 3117 + }, + { + "epoch": 1.33, + "learning_rate": 2.266851279642122e-06, + "loss": 0.8725, + "step": 3118 + }, + { + "epoch": 1.33, + "learning_rate": 2.266409478255884e-06, + "loss": 1.1602, + "step": 3119 + }, + { + "epoch": 1.33, + "learning_rate": 2.265967586876091e-06, + "loss": 1.1254, + "step": 3120 + }, + { + "epoch": 1.33, + "learning_rate": 2.2655256055546344e-06, + "loss": 1.1054, + "step": 3121 + }, + { + "epoch": 1.33, + "learning_rate": 2.2650835343434104e-06, + "loss": 0.9248, + "step": 3122 + }, + { + "epoch": 1.33, + "learning_rate": 2.2646413732943282e-06, + "loss": 1.1161, + "step": 3123 + }, + { + "epoch": 1.33, + "learning_rate": 2.2641991224593085e-06, + "loss": 0.7349, + "step": 3124 + }, + { + "epoch": 1.33, + "learning_rate": 2.2637567818902804e-06, + "loss": 0.8353, + "step": 3125 + }, + { + "epoch": 1.33, + "learning_rate": 2.263314351639185e-06, + "loss": 0.8598, + "step": 3126 + }, + { + "epoch": 1.33, + "learning_rate": 2.262871831757973e-06, + "loss": 1.0044, + "step": 3127 + }, + { + "epoch": 1.33, + "learning_rate": 2.2624292222986067e-06, + "loss": 0.8585, + "step": 3128 + }, + { + "epoch": 1.33, + "learning_rate": 2.261986523313058e-06, + "loss": 1.1172, + "step": 3129 + }, + { + "epoch": 1.33, + "learning_rate": 2.2615437348533098e-06, + "loss": 0.9341, + "step": 3130 + }, + { + "epoch": 1.33, + "learning_rate": 2.261100856971355e-06, + "loss": 1.049, + "step": 3131 + }, + { + "epoch": 1.33, + "learning_rate": 2.2606578897191973e-06, + "loss": 0.8722, + "step": 3132 + }, + { + "epoch": 1.33, + "learning_rate": 2.2602148331488515e-06, + "loss": 1.0746, + "step": 3133 + }, + { + "epoch": 1.33, + "learning_rate": 2.259771687312342e-06, + "loss": 1.1996, + "step": 3134 + }, + { + "epoch": 1.33, + "learning_rate": 2.2593284522617035e-06, + "loss": 1.181, + "step": 3135 + }, + { + "epoch": 1.33, + "learning_rate": 2.2588851280489826e-06, + "loss": 0.9254, + "step": 3136 + }, + { + "epoch": 1.33, + "learning_rate": 2.258441714726235e-06, + "loss": 1.0153, + "step": 3137 + }, + { + "epoch": 1.33, + "learning_rate": 2.257998212345527e-06, + "loss": 1.0286, + "step": 3138 + }, + { + "epoch": 1.34, + "learning_rate": 2.2575546209589365e-06, + "loss": 0.8045, + "step": 3139 + }, + { + "epoch": 1.34, + "learning_rate": 2.25711094061855e-06, + "loss": 1.245, + "step": 3140 + }, + { + "epoch": 1.34, + "learning_rate": 2.256667171376466e-06, + "loss": 0.8488, + "step": 3141 + }, + { + "epoch": 1.34, + "learning_rate": 2.2562233132847922e-06, + "loss": 1.2715, + "step": 3142 + }, + { + "epoch": 1.34, + "learning_rate": 2.255779366395649e-06, + "loss": 0.841, + "step": 3143 + }, + { + "epoch": 1.34, + "learning_rate": 2.255335330761164e-06, + "loss": 1.244, + "step": 3144 + }, + { + "epoch": 1.34, + "learning_rate": 2.2548912064334787e-06, + "loss": 1.2514, + "step": 3145 + }, + { + "epoch": 1.34, + "learning_rate": 2.254446993464741e-06, + "loss": 1.0925, + "step": 3146 + }, + { + "epoch": 1.34, + "learning_rate": 2.2540026919071126e-06, + "loss": 0.7785, + "step": 3147 + }, + { + "epoch": 1.34, + "learning_rate": 2.2535583018127647e-06, + "loss": 0.9193, + "step": 3148 + }, + { + "epoch": 1.34, + "learning_rate": 2.2531138232338784e-06, + "loss": 1.0248, + "step": 3149 + }, + { + "epoch": 1.34, + "learning_rate": 2.2526692562226446e-06, + "loss": 2.0007, + "step": 3150 + }, + { + "epoch": 1.34, + "learning_rate": 2.252224600831266e-06, + "loss": 0.8571, + "step": 3151 + }, + { + "epoch": 1.34, + "learning_rate": 2.251779857111955e-06, + "loss": 1.0312, + "step": 3152 + }, + { + "epoch": 1.34, + "learning_rate": 2.251335025116935e-06, + "loss": 0.9908, + "step": 3153 + }, + { + "epoch": 1.34, + "learning_rate": 2.250890104898438e-06, + "loss": 0.6948, + "step": 3154 + }, + { + "epoch": 1.34, + "learning_rate": 2.2504450965087087e-06, + "loss": 0.9749, + "step": 3155 + }, + { + "epoch": 1.34, + "learning_rate": 2.25e-06, + "loss": 0.8249, + "step": 3156 + }, + { + "epoch": 1.34, + "learning_rate": 2.2495548154245767e-06, + "loss": 1.0998, + "step": 3157 + }, + { + "epoch": 1.34, + "learning_rate": 2.2491095428347136e-06, + "loss": 0.9554, + "step": 3158 + }, + { + "epoch": 1.34, + "learning_rate": 2.2486641822826956e-06, + "loss": 0.8907, + "step": 3159 + }, + { + "epoch": 1.34, + "learning_rate": 2.2482187338208173e-06, + "loss": 1.3291, + "step": 3160 + }, + { + "epoch": 1.34, + "learning_rate": 2.2477731975013846e-06, + "loss": 1.0687, + "step": 3161 + }, + { + "epoch": 1.35, + "learning_rate": 2.2473275733767137e-06, + "loss": 0.7591, + "step": 3162 + }, + { + "epoch": 1.35, + "learning_rate": 2.24688186149913e-06, + "loss": 0.8987, + "step": 3163 + }, + { + "epoch": 1.35, + "learning_rate": 2.2464360619209713e-06, + "loss": 1.1798, + "step": 3164 + }, + { + "epoch": 1.35, + "learning_rate": 2.2459901746945834e-06, + "loss": 1.0544, + "step": 3165 + }, + { + "epoch": 1.35, + "learning_rate": 2.2455441998723235e-06, + "loss": 1.041, + "step": 3166 + }, + { + "epoch": 1.35, + "learning_rate": 2.2450981375065594e-06, + "loss": 0.9923, + "step": 3167 + }, + { + "epoch": 1.35, + "learning_rate": 2.2446519876496686e-06, + "loss": 1.0707, + "step": 3168 + }, + { + "epoch": 1.35, + "learning_rate": 2.2442057503540385e-06, + "loss": 0.5406, + "step": 3169 + }, + { + "epoch": 1.35, + "learning_rate": 2.2437594256720687e-06, + "loss": 1.1916, + "step": 3170 + }, + { + "epoch": 1.35, + "learning_rate": 2.243313013656166e-06, + "loss": 0.6468, + "step": 3171 + }, + { + "epoch": 1.35, + "learning_rate": 2.24286651435875e-06, + "loss": 1.2067, + "step": 3172 + }, + { + "epoch": 1.35, + "learning_rate": 2.2424199278322496e-06, + "loss": 0.7675, + "step": 3173 + }, + { + "epoch": 1.35, + "learning_rate": 2.241973254129104e-06, + "loss": 1.0011, + "step": 3174 + }, + { + "epoch": 1.35, + "learning_rate": 2.2415264933017626e-06, + "loss": 0.6777, + "step": 3175 + }, + { + "epoch": 1.35, + "learning_rate": 2.2410796454026847e-06, + "loss": 1.1471, + "step": 3176 + }, + { + "epoch": 1.35, + "learning_rate": 2.240632710484341e-06, + "loss": 1.1318, + "step": 3177 + }, + { + "epoch": 1.35, + "learning_rate": 2.2401856885992105e-06, + "loss": 1.2874, + "step": 3178 + }, + { + "epoch": 1.35, + "learning_rate": 2.239738579799785e-06, + "loss": 0.8189, + "step": 3179 + }, + { + "epoch": 1.35, + "learning_rate": 2.239291384138564e-06, + "loss": 1.1578, + "step": 3180 + }, + { + "epoch": 1.35, + "learning_rate": 2.2388441016680585e-06, + "loss": 1.0535, + "step": 3181 + }, + { + "epoch": 1.35, + "learning_rate": 2.238396732440789e-06, + "loss": 1.058, + "step": 3182 + }, + { + "epoch": 1.35, + "learning_rate": 2.2379492765092873e-06, + "loss": 1.0997, + "step": 3183 + }, + { + "epoch": 1.35, + "learning_rate": 2.237501733926095e-06, + "loss": 0.7044, + "step": 3184 + }, + { + "epoch": 1.36, + "learning_rate": 2.237054104743762e-06, + "loss": 0.857, + "step": 3185 + }, + { + "epoch": 1.36, + "learning_rate": 2.2366063890148515e-06, + "loss": 0.8356, + "step": 3186 + }, + { + "epoch": 1.36, + "learning_rate": 2.236158586791935e-06, + "loss": 1.0593, + "step": 3187 + }, + { + "epoch": 1.36, + "learning_rate": 2.2357106981275938e-06, + "loss": 1.029, + "step": 3188 + }, + { + "epoch": 1.36, + "learning_rate": 2.2352627230744203e-06, + "loss": 1.0948, + "step": 3189 + }, + { + "epoch": 1.36, + "learning_rate": 2.2348146616850175e-06, + "loss": 0.9512, + "step": 3190 + }, + { + "epoch": 1.36, + "learning_rate": 2.2343665140119966e-06, + "loss": 1.0313, + "step": 3191 + }, + { + "epoch": 1.36, + "learning_rate": 2.2339182801079808e-06, + "loss": 0.8912, + "step": 3192 + }, + { + "epoch": 1.36, + "learning_rate": 2.233469960025603e-06, + "loss": 0.6939, + "step": 3193 + }, + { + "epoch": 1.36, + "learning_rate": 2.233021553817505e-06, + "loss": 0.7215, + "step": 3194 + }, + { + "epoch": 1.36, + "learning_rate": 2.2325730615363404e-06, + "loss": 1.1967, + "step": 3195 + }, + { + "epoch": 1.36, + "learning_rate": 2.2321244832347727e-06, + "loss": 0.8794, + "step": 3196 + }, + { + "epoch": 1.36, + "learning_rate": 2.231675818965474e-06, + "loss": 0.906, + "step": 3197 + }, + { + "epoch": 1.36, + "learning_rate": 2.2312270687811277e-06, + "loss": 1.1438, + "step": 3198 + }, + { + "epoch": 1.36, + "learning_rate": 2.2307782327344277e-06, + "loss": 1.0889, + "step": 3199 + }, + { + "epoch": 1.36, + "learning_rate": 2.230329310878076e-06, + "loss": 0.6664, + "step": 3200 + }, + { + "epoch": 1.36, + "learning_rate": 2.2298803032647883e-06, + "loss": 0.8639, + "step": 3201 + }, + { + "epoch": 1.36, + "learning_rate": 2.2294312099472855e-06, + "loss": 0.8491, + "step": 3202 + }, + { + "epoch": 1.36, + "learning_rate": 2.2289820309783027e-06, + "loss": 0.9977, + "step": 3203 + }, + { + "epoch": 1.36, + "learning_rate": 2.2285327664105835e-06, + "loss": 0.9592, + "step": 3204 + }, + { + "epoch": 1.36, + "learning_rate": 2.228083416296881e-06, + "loss": 1.0523, + "step": 3205 + }, + { + "epoch": 1.36, + "learning_rate": 2.2276339806899597e-06, + "loss": 0.8888, + "step": 3206 + }, + { + "epoch": 1.36, + "learning_rate": 2.2271844596425923e-06, + "loss": 1.0424, + "step": 3207 + }, + { + "epoch": 1.37, + "learning_rate": 2.226734853207563e-06, + "loss": 0.9843, + "step": 3208 + }, + { + "epoch": 1.37, + "learning_rate": 2.226285161437666e-06, + "loss": 0.9943, + "step": 3209 + }, + { + "epoch": 1.37, + "learning_rate": 2.2258353843857053e-06, + "loss": 0.7879, + "step": 3210 + }, + { + "epoch": 1.37, + "learning_rate": 2.225385522104494e-06, + "loss": 1.2037, + "step": 3211 + }, + { + "epoch": 1.37, + "learning_rate": 2.2249355746468564e-06, + "loss": 1.247, + "step": 3212 + }, + { + "epoch": 1.37, + "learning_rate": 2.224485542065626e-06, + "loss": 1.0096, + "step": 3213 + }, + { + "epoch": 1.37, + "learning_rate": 2.224035424413647e-06, + "loss": 0.9435, + "step": 3214 + }, + { + "epoch": 1.37, + "learning_rate": 2.223585221743773e-06, + "loss": 0.8407, + "step": 3215 + }, + { + "epoch": 1.37, + "learning_rate": 2.2231349341088685e-06, + "loss": 1.1747, + "step": 3216 + }, + { + "epoch": 1.37, + "learning_rate": 2.222684561561806e-06, + "loss": 0.8505, + "step": 3217 + }, + { + "epoch": 1.37, + "learning_rate": 2.222234104155471e-06, + "loss": 1.1108, + "step": 3218 + }, + { + "epoch": 1.37, + "learning_rate": 2.2217835619427558e-06, + "loss": 0.7335, + "step": 3219 + }, + { + "epoch": 1.37, + "learning_rate": 2.2213329349765642e-06, + "loss": 0.9187, + "step": 3220 + }, + { + "epoch": 1.37, + "learning_rate": 2.2208822233098105e-06, + "loss": 0.6428, + "step": 3221 + }, + { + "epoch": 1.37, + "learning_rate": 2.2204314269954185e-06, + "loss": 0.6475, + "step": 3222 + }, + { + "epoch": 1.37, + "learning_rate": 2.219980546086321e-06, + "loss": 0.6583, + "step": 3223 + }, + { + "epoch": 1.37, + "learning_rate": 2.2195295806354617e-06, + "loss": 0.6895, + "step": 3224 + }, + { + "epoch": 1.37, + "learning_rate": 2.219078530695794e-06, + "loss": 0.9842, + "step": 3225 + }, + { + "epoch": 1.37, + "learning_rate": 2.218627396320281e-06, + "loss": 0.4529, + "step": 3226 + }, + { + "epoch": 1.37, + "learning_rate": 2.2181761775618968e-06, + "loss": 0.9506, + "step": 3227 + }, + { + "epoch": 1.37, + "learning_rate": 2.2177248744736233e-06, + "loss": 1.3852, + "step": 3228 + }, + { + "epoch": 1.37, + "learning_rate": 2.217273487108455e-06, + "loss": 1.25, + "step": 3229 + }, + { + "epoch": 1.37, + "learning_rate": 2.2168220155193934e-06, + "loss": 0.677, + "step": 3230 + }, + { + "epoch": 1.38, + "learning_rate": 2.2163704597594516e-06, + "loss": 0.9382, + "step": 3231 + }, + { + "epoch": 1.38, + "learning_rate": 2.215918819881653e-06, + "loss": 0.8199, + "step": 3232 + }, + { + "epoch": 1.38, + "learning_rate": 2.21546709593903e-06, + "loss": 0.899, + "step": 3233 + }, + { + "epoch": 1.38, + "learning_rate": 2.215015287984625e-06, + "loss": 0.8132, + "step": 3234 + }, + { + "epoch": 1.38, + "learning_rate": 2.2145633960714897e-06, + "loss": 0.941, + "step": 3235 + }, + { + "epoch": 1.38, + "learning_rate": 2.214111420252687e-06, + "loss": 1.0979, + "step": 3236 + }, + { + "epoch": 1.38, + "learning_rate": 2.2136593605812887e-06, + "loss": 0.8068, + "step": 3237 + }, + { + "epoch": 1.38, + "learning_rate": 2.2132072171103765e-06, + "loss": 0.9362, + "step": 3238 + }, + { + "epoch": 1.38, + "learning_rate": 2.2127549898930424e-06, + "loss": 0.8687, + "step": 3239 + }, + { + "epoch": 1.38, + "learning_rate": 2.212302678982388e-06, + "loss": 0.7137, + "step": 3240 + }, + { + "epoch": 1.38, + "learning_rate": 2.2118502844315248e-06, + "loss": 0.7887, + "step": 3241 + }, + { + "epoch": 1.38, + "learning_rate": 2.2113978062935736e-06, + "loss": 0.9396, + "step": 3242 + }, + { + "epoch": 1.38, + "learning_rate": 2.210945244621665e-06, + "loss": 1.1603, + "step": 3243 + }, + { + "epoch": 1.38, + "learning_rate": 2.210492599468941e-06, + "loss": 0.8271, + "step": 3244 + }, + { + "epoch": 1.38, + "learning_rate": 2.2100398708885516e-06, + "loss": 1.0228, + "step": 3245 + }, + { + "epoch": 1.38, + "learning_rate": 2.2095870589336567e-06, + "loss": 1.1088, + "step": 3246 + }, + { + "epoch": 1.38, + "learning_rate": 2.2091341636574277e-06, + "loss": 0.9239, + "step": 3247 + }, + { + "epoch": 1.38, + "learning_rate": 2.2086811851130437e-06, + "loss": 1.256, + "step": 3248 + }, + { + "epoch": 1.38, + "learning_rate": 2.2082281233536946e-06, + "loss": 1.1271, + "step": 3249 + }, + { + "epoch": 1.38, + "learning_rate": 2.20777497843258e-06, + "loss": 1.0979, + "step": 3250 + }, + { + "epoch": 1.38, + "learning_rate": 2.20732175040291e-06, + "loss": 1.1538, + "step": 3251 + }, + { + "epoch": 1.38, + "learning_rate": 2.2068684393179024e-06, + "loss": 1.1245, + "step": 3252 + }, + { + "epoch": 1.38, + "learning_rate": 2.206415045230787e-06, + "loss": 1.0046, + "step": 3253 + }, + { + "epoch": 1.38, + "learning_rate": 2.205961568194801e-06, + "loss": 0.9606, + "step": 3254 + }, + { + "epoch": 1.39, + "learning_rate": 2.2055080082631945e-06, + "loss": 0.8746, + "step": 3255 + }, + { + "epoch": 1.39, + "learning_rate": 2.205054365489225e-06, + "loss": 1.0819, + "step": 3256 + }, + { + "epoch": 1.39, + "learning_rate": 2.2046006399261593e-06, + "loss": 0.6138, + "step": 3257 + }, + { + "epoch": 1.39, + "learning_rate": 2.2041468316272757e-06, + "loss": 0.9061, + "step": 3258 + }, + { + "epoch": 1.39, + "learning_rate": 2.2036929406458613e-06, + "loss": 0.8142, + "step": 3259 + }, + { + "epoch": 1.39, + "learning_rate": 2.203238967035213e-06, + "loss": 1.1935, + "step": 3260 + }, + { + "epoch": 1.39, + "learning_rate": 2.2027849108486377e-06, + "loss": 1.1475, + "step": 3261 + }, + { + "epoch": 1.39, + "learning_rate": 2.202330772139451e-06, + "loss": 0.9043, + "step": 3262 + }, + { + "epoch": 1.39, + "learning_rate": 2.2018765509609804e-06, + "loss": 0.9634, + "step": 3263 + }, + { + "epoch": 1.39, + "learning_rate": 2.2014222473665596e-06, + "loss": 0.9134, + "step": 3264 + }, + { + "epoch": 1.39, + "learning_rate": 2.200967861409535e-06, + "loss": 0.9466, + "step": 3265 + }, + { + "epoch": 1.39, + "learning_rate": 2.2005133931432614e-06, + "loss": 0.6518, + "step": 3266 + }, + { + "epoch": 1.39, + "learning_rate": 2.2000588426211037e-06, + "loss": 1.0202, + "step": 3267 + }, + { + "epoch": 1.39, + "learning_rate": 2.1996042098964366e-06, + "loss": 0.6723, + "step": 3268 + }, + { + "epoch": 1.39, + "learning_rate": 2.1991494950226436e-06, + "loss": 1.1041, + "step": 3269 + }, + { + "epoch": 1.39, + "learning_rate": 2.1986946980531185e-06, + "loss": 1.0805, + "step": 3270 + }, + { + "epoch": 1.39, + "learning_rate": 2.1982398190412646e-06, + "loss": 0.9252, + "step": 3271 + }, + { + "epoch": 1.39, + "learning_rate": 2.1977848580404944e-06, + "loss": 1.03, + "step": 3272 + }, + { + "epoch": 1.39, + "learning_rate": 2.197329815104231e-06, + "loss": 1.1671, + "step": 3273 + }, + { + "epoch": 1.39, + "learning_rate": 2.1968746902859066e-06, + "loss": 1.2739, + "step": 3274 + }, + { + "epoch": 1.39, + "learning_rate": 2.196419483638963e-06, + "loss": 1.0133, + "step": 3275 + }, + { + "epoch": 1.39, + "learning_rate": 2.1959641952168515e-06, + "loss": 0.8917, + "step": 3276 + }, + { + "epoch": 1.39, + "learning_rate": 2.1955088250730326e-06, + "loss": 0.6023, + "step": 3277 + }, + { + "epoch": 1.4, + "learning_rate": 2.195053373260978e-06, + "loss": 0.6886, + "step": 3278 + }, + { + "epoch": 1.4, + "learning_rate": 2.194597839834167e-06, + "loss": 0.9861, + "step": 3279 + }, + { + "epoch": 1.4, + "learning_rate": 2.194142224846089e-06, + "loss": 0.8166, + "step": 3280 + }, + { + "epoch": 1.4, + "learning_rate": 2.193686528350245e-06, + "loss": 0.7682, + "step": 3281 + }, + { + "epoch": 1.4, + "learning_rate": 2.1932307504001426e-06, + "loss": 0.9061, + "step": 3282 + }, + { + "epoch": 1.4, + "learning_rate": 2.1927748910493004e-06, + "loss": 0.7433, + "step": 3283 + }, + { + "epoch": 1.4, + "learning_rate": 2.1923189503512464e-06, + "loss": 0.7482, + "step": 3284 + }, + { + "epoch": 1.4, + "learning_rate": 2.191862928359519e-06, + "loss": 1.2112, + "step": 3285 + }, + { + "epoch": 1.4, + "learning_rate": 2.1914068251276644e-06, + "loss": 1.2907, + "step": 3286 + }, + { + "epoch": 1.4, + "learning_rate": 2.1909506407092397e-06, + "loss": 0.5191, + "step": 3287 + }, + { + "epoch": 1.4, + "learning_rate": 2.190494375157811e-06, + "loss": 0.9416, + "step": 3288 + }, + { + "epoch": 1.4, + "learning_rate": 2.190038028526955e-06, + "loss": 0.7501, + "step": 3289 + }, + { + "epoch": 1.4, + "learning_rate": 2.189581600870255e-06, + "loss": 0.5926, + "step": 3290 + }, + { + "epoch": 1.4, + "learning_rate": 2.1891250922413077e-06, + "loss": 1.0254, + "step": 3291 + }, + { + "epoch": 1.4, + "learning_rate": 2.188668502693716e-06, + "loss": 1.0403, + "step": 3292 + }, + { + "epoch": 1.4, + "learning_rate": 2.188211832281095e-06, + "loss": 0.863, + "step": 3293 + }, + { + "epoch": 1.4, + "learning_rate": 2.1877550810570664e-06, + "loss": 0.9017, + "step": 3294 + }, + { + "epoch": 1.4, + "learning_rate": 2.187298249075264e-06, + "loss": 0.7408, + "step": 3295 + }, + { + "epoch": 1.4, + "learning_rate": 2.1868413363893302e-06, + "loss": 0.871, + "step": 3296 + }, + { + "epoch": 1.4, + "learning_rate": 2.1863843430529163e-06, + "loss": 0.8362, + "step": 3297 + }, + { + "epoch": 1.4, + "learning_rate": 2.185927269119684e-06, + "loss": 0.7266, + "step": 3298 + }, + { + "epoch": 1.4, + "learning_rate": 2.1854701146433028e-06, + "loss": 1.1024, + "step": 3299 + }, + { + "epoch": 1.4, + "learning_rate": 2.185012879677454e-06, + "loss": 0.9354, + "step": 3300 + }, + { + "epoch": 1.41, + "learning_rate": 2.1845555642758265e-06, + "loss": 0.8416, + "step": 3301 + }, + { + "epoch": 1.41, + "learning_rate": 2.18409816849212e-06, + "loss": 0.8314, + "step": 3302 + }, + { + "epoch": 1.41, + "learning_rate": 2.1836406923800425e-06, + "loss": 0.7754, + "step": 3303 + }, + { + "epoch": 1.41, + "learning_rate": 2.1831831359933118e-06, + "loss": 1.045, + "step": 3304 + }, + { + "epoch": 1.41, + "learning_rate": 2.1827254993856555e-06, + "loss": 0.9573, + "step": 3305 + }, + { + "epoch": 1.41, + "learning_rate": 2.18226778261081e-06, + "loss": 0.9065, + "step": 3306 + }, + { + "epoch": 1.41, + "learning_rate": 2.1818099857225214e-06, + "loss": 1.1355, + "step": 3307 + }, + { + "epoch": 1.41, + "learning_rate": 2.181352108774546e-06, + "loss": 0.7486, + "step": 3308 + }, + { + "epoch": 1.41, + "learning_rate": 2.180894151820648e-06, + "loss": 0.9617, + "step": 3309 + }, + { + "epoch": 1.41, + "learning_rate": 2.180436114914602e-06, + "loss": 0.7408, + "step": 3310 + }, + { + "epoch": 1.41, + "learning_rate": 2.179977998110192e-06, + "loss": 0.9454, + "step": 3311 + }, + { + "epoch": 1.41, + "learning_rate": 2.1795198014612105e-06, + "loss": 0.7289, + "step": 3312 + }, + { + "epoch": 1.41, + "learning_rate": 2.1790615250214605e-06, + "loss": 0.8744, + "step": 3313 + }, + { + "epoch": 1.41, + "learning_rate": 2.178603168844754e-06, + "loss": 0.8713, + "step": 3314 + }, + { + "epoch": 1.41, + "learning_rate": 2.1781447329849117e-06, + "loss": 0.9182, + "step": 3315 + }, + { + "epoch": 1.41, + "learning_rate": 2.1776862174957648e-06, + "loss": 0.7701, + "step": 3316 + }, + { + "epoch": 1.41, + "learning_rate": 2.1772276224311526e-06, + "loss": 1.2508, + "step": 3317 + }, + { + "epoch": 1.41, + "learning_rate": 2.176768947844925e-06, + "loss": 0.9591, + "step": 3318 + }, + { + "epoch": 1.41, + "learning_rate": 2.1763101937909397e-06, + "loss": 1.0209, + "step": 3319 + }, + { + "epoch": 1.41, + "learning_rate": 2.175851360323066e-06, + "loss": 1.1636, + "step": 3320 + }, + { + "epoch": 1.41, + "learning_rate": 2.1753924474951795e-06, + "loss": 1.0135, + "step": 3321 + }, + { + "epoch": 1.41, + "learning_rate": 2.1749334553611685e-06, + "loss": 0.9497, + "step": 3322 + }, + { + "epoch": 1.41, + "learning_rate": 2.1744743839749278e-06, + "loss": 1.0029, + "step": 3323 + }, + { + "epoch": 1.42, + "learning_rate": 2.1740152333903627e-06, + "loss": 1.0443, + "step": 3324 + }, + { + "epoch": 1.42, + "learning_rate": 2.1735560036613883e-06, + "loss": 1.0517, + "step": 3325 + }, + { + "epoch": 1.42, + "learning_rate": 2.173096694841928e-06, + "loss": 0.845, + "step": 3326 + }, + { + "epoch": 1.42, + "learning_rate": 2.172637306985915e-06, + "loss": 0.7999, + "step": 3327 + }, + { + "epoch": 1.42, + "learning_rate": 2.1721778401472916e-06, + "loss": 0.8691, + "step": 3328 + }, + { + "epoch": 1.42, + "learning_rate": 2.1717182943800094e-06, + "loss": 1.0544, + "step": 3329 + }, + { + "epoch": 1.42, + "learning_rate": 2.1712586697380293e-06, + "loss": 0.967, + "step": 3330 + }, + { + "epoch": 1.42, + "learning_rate": 2.1707989662753216e-06, + "loss": 1.0399, + "step": 3331 + }, + { + "epoch": 1.42, + "learning_rate": 2.170339184045866e-06, + "loss": 0.9871, + "step": 3332 + }, + { + "epoch": 1.42, + "learning_rate": 2.1698793231036504e-06, + "loss": 1.5088, + "step": 3333 + }, + { + "epoch": 1.42, + "learning_rate": 2.1694193835026734e-06, + "loss": 0.957, + "step": 3334 + }, + { + "epoch": 1.42, + "learning_rate": 2.168959365296942e-06, + "loss": 1.0246, + "step": 3335 + }, + { + "epoch": 1.42, + "learning_rate": 2.168499268540472e-06, + "loss": 1.3515, + "step": 3336 + }, + { + "epoch": 1.42, + "learning_rate": 2.1680390932872904e-06, + "loss": 1.2265, + "step": 3337 + }, + { + "epoch": 1.42, + "learning_rate": 2.167578839591431e-06, + "loss": 1.332, + "step": 3338 + }, + { + "epoch": 1.42, + "learning_rate": 2.1671185075069372e-06, + "loss": 1.0292, + "step": 3339 + }, + { + "epoch": 1.42, + "learning_rate": 2.166658097087864e-06, + "loss": 1.2651, + "step": 3340 + }, + { + "epoch": 1.42, + "learning_rate": 2.166197608388272e-06, + "loss": 1.0351, + "step": 3341 + }, + { + "epoch": 1.42, + "learning_rate": 2.1657370414622346e-06, + "loss": 0.8858, + "step": 3342 + }, + { + "epoch": 1.42, + "learning_rate": 2.1652763963638313e-06, + "loss": 0.8591, + "step": 3343 + }, + { + "epoch": 1.42, + "learning_rate": 2.164815673147153e-06, + "loss": 1.1305, + "step": 3344 + }, + { + "epoch": 1.42, + "learning_rate": 2.164354871866298e-06, + "loss": 0.8707, + "step": 3345 + }, + { + "epoch": 1.42, + "learning_rate": 2.1638939925753755e-06, + "loss": 1.3922, + "step": 3346 + }, + { + "epoch": 1.43, + "learning_rate": 2.163433035328502e-06, + "loss": 0.6778, + "step": 3347 + }, + { + "epoch": 1.43, + "learning_rate": 2.162972000179805e-06, + "loss": 0.7604, + "step": 3348 + }, + { + "epoch": 1.43, + "learning_rate": 2.16251088718342e-06, + "loss": 0.7646, + "step": 3349 + }, + { + "epoch": 1.43, + "learning_rate": 2.162049696393492e-06, + "loss": 0.9823, + "step": 3350 + }, + { + "epoch": 1.43, + "learning_rate": 2.161588427864175e-06, + "loss": 0.8479, + "step": 3351 + }, + { + "epoch": 1.43, + "learning_rate": 2.1611270816496326e-06, + "loss": 1.0139, + "step": 3352 + }, + { + "epoch": 1.43, + "learning_rate": 2.1606656578040364e-06, + "loss": 0.9188, + "step": 3353 + }, + { + "epoch": 1.43, + "learning_rate": 2.1602041563815684e-06, + "loss": 0.7026, + "step": 3354 + }, + { + "epoch": 1.43, + "learning_rate": 2.1597425774364193e-06, + "loss": 0.7501, + "step": 3355 + }, + { + "epoch": 1.43, + "learning_rate": 2.159280921022788e-06, + "loss": 0.791, + "step": 3356 + }, + { + "epoch": 1.43, + "learning_rate": 2.158819187194884e-06, + "loss": 1.1841, + "step": 3357 + }, + { + "epoch": 1.43, + "learning_rate": 2.1583573760069244e-06, + "loss": 0.9439, + "step": 3358 + }, + { + "epoch": 1.43, + "learning_rate": 2.1578954875131367e-06, + "loss": 1.0603, + "step": 3359 + }, + { + "epoch": 1.43, + "learning_rate": 2.157433521767757e-06, + "loss": 0.9203, + "step": 3360 + }, + { + "epoch": 1.43, + "learning_rate": 2.15697147882503e-06, + "loss": 1.0065, + "step": 3361 + }, + { + "epoch": 1.43, + "learning_rate": 2.1565093587392098e-06, + "loss": 1.0733, + "step": 3362 + }, + { + "epoch": 1.43, + "learning_rate": 2.1560471615645602e-06, + "loss": 0.7426, + "step": 3363 + }, + { + "epoch": 1.43, + "learning_rate": 2.1555848873553524e-06, + "loss": 0.7463, + "step": 3364 + }, + { + "epoch": 1.43, + "learning_rate": 2.1551225361658685e-06, + "loss": 1.0222, + "step": 3365 + }, + { + "epoch": 1.43, + "learning_rate": 2.154660108050399e-06, + "loss": 0.9972, + "step": 3366 + }, + { + "epoch": 1.43, + "learning_rate": 2.154197603063243e-06, + "loss": 1.0106, + "step": 3367 + }, + { + "epoch": 1.43, + "learning_rate": 2.1537350212587085e-06, + "loss": 0.8653, + "step": 3368 + }, + { + "epoch": 1.43, + "learning_rate": 2.153272362691113e-06, + "loss": 0.8868, + "step": 3369 + }, + { + "epoch": 1.44, + "learning_rate": 2.152809627414783e-06, + "loss": 1.1274, + "step": 3370 + }, + { + "epoch": 1.44, + "learning_rate": 2.152346815484055e-06, + "loss": 1.2307, + "step": 3371 + }, + { + "epoch": 1.44, + "learning_rate": 2.151883926953272e-06, + "loss": 0.8535, + "step": 3372 + }, + { + "epoch": 1.44, + "learning_rate": 2.151420961876787e-06, + "loss": 1.0054, + "step": 3373 + }, + { + "epoch": 1.44, + "learning_rate": 2.1509579203089646e-06, + "loss": 1.0496, + "step": 3374 + }, + { + "epoch": 1.44, + "learning_rate": 2.150494802304175e-06, + "loss": 0.7666, + "step": 3375 + }, + { + "epoch": 1.44, + "learning_rate": 2.150031607916798e-06, + "loss": 0.9457, + "step": 3376 + }, + { + "epoch": 1.44, + "learning_rate": 2.1495683372012236e-06, + "loss": 1.3713, + "step": 3377 + }, + { + "epoch": 1.44, + "learning_rate": 2.14910499021185e-06, + "loss": 1.1571, + "step": 3378 + }, + { + "epoch": 1.44, + "learning_rate": 2.1486415670030847e-06, + "loss": 1.033, + "step": 3379 + }, + { + "epoch": 1.44, + "learning_rate": 2.148178067629343e-06, + "loss": 0.8902, + "step": 3380 + }, + { + "epoch": 1.44, + "learning_rate": 2.1477144921450513e-06, + "loss": 0.8007, + "step": 3381 + }, + { + "epoch": 1.44, + "learning_rate": 2.1472508406046428e-06, + "loss": 1.0163, + "step": 3382 + }, + { + "epoch": 1.44, + "learning_rate": 2.146787113062561e-06, + "loss": 0.9275, + "step": 3383 + }, + { + "epoch": 1.44, + "learning_rate": 2.1463233095732578e-06, + "loss": 1.1013, + "step": 3384 + }, + { + "epoch": 1.44, + "learning_rate": 2.1458594301911936e-06, + "loss": 0.9118, + "step": 3385 + }, + { + "epoch": 1.44, + "learning_rate": 2.145395474970839e-06, + "loss": 1.1859, + "step": 3386 + }, + { + "epoch": 1.44, + "learning_rate": 2.144931443966672e-06, + "loss": 1.3471, + "step": 3387 + }, + { + "epoch": 1.44, + "learning_rate": 2.1444673372331797e-06, + "loss": 0.9522, + "step": 3388 + }, + { + "epoch": 1.44, + "learning_rate": 2.1440031548248605e-06, + "loss": 0.9282, + "step": 3389 + }, + { + "epoch": 1.44, + "learning_rate": 2.1435388967962177e-06, + "loss": 0.9898, + "step": 3390 + }, + { + "epoch": 1.44, + "learning_rate": 2.1430745632017667e-06, + "loss": 1.137, + "step": 3391 + }, + { + "epoch": 1.44, + "learning_rate": 2.14261015409603e-06, + "loss": 1.1428, + "step": 3392 + }, + { + "epoch": 1.44, + "learning_rate": 2.1421456695335403e-06, + "loss": 1.0014, + "step": 3393 + }, + { + "epoch": 1.45, + "learning_rate": 2.1416811095688374e-06, + "loss": 0.9535, + "step": 3394 + }, + { + "epoch": 1.45, + "learning_rate": 2.141216474256472e-06, + "loss": 1.3685, + "step": 3395 + }, + { + "epoch": 1.45, + "learning_rate": 2.1407517636510024e-06, + "loss": 0.9256, + "step": 3396 + }, + { + "epoch": 1.45, + "learning_rate": 2.1402869778069956e-06, + "loss": 1.0484, + "step": 3397 + }, + { + "epoch": 1.45, + "learning_rate": 2.1398221167790276e-06, + "loss": 0.9605, + "step": 3398 + }, + { + "epoch": 1.45, + "learning_rate": 2.139357180621684e-06, + "loss": 1.2883, + "step": 3399 + }, + { + "epoch": 1.45, + "learning_rate": 2.1388921693895588e-06, + "loss": 0.8885, + "step": 3400 + }, + { + "epoch": 1.45, + "learning_rate": 2.1384270831372547e-06, + "loss": 0.8501, + "step": 3401 + }, + { + "epoch": 1.45, + "learning_rate": 2.1379619219193826e-06, + "loss": 0.919, + "step": 3402 + }, + { + "epoch": 1.45, + "learning_rate": 2.137496685790563e-06, + "loss": 0.7253, + "step": 3403 + }, + { + "epoch": 1.45, + "learning_rate": 2.137031374805425e-06, + "loss": 0.9868, + "step": 3404 + }, + { + "epoch": 1.45, + "learning_rate": 2.136565989018607e-06, + "loss": 1.102, + "step": 3405 + }, + { + "epoch": 1.45, + "learning_rate": 2.1361005284847544e-06, + "loss": 1.2095, + "step": 3406 + }, + { + "epoch": 1.45, + "learning_rate": 2.1356349932585243e-06, + "loss": 0.9872, + "step": 3407 + }, + { + "epoch": 1.45, + "learning_rate": 2.13516938339458e-06, + "loss": 0.8888, + "step": 3408 + }, + { + "epoch": 1.45, + "learning_rate": 2.1347036989475945e-06, + "loss": 1.2411, + "step": 3409 + }, + { + "epoch": 1.45, + "learning_rate": 2.1342379399722493e-06, + "loss": 0.9965, + "step": 3410 + }, + { + "epoch": 1.45, + "learning_rate": 2.1337721065232356e-06, + "loss": 0.8477, + "step": 3411 + }, + { + "epoch": 1.45, + "learning_rate": 2.133306198655252e-06, + "loss": 0.9053, + "step": 3412 + }, + { + "epoch": 1.45, + "learning_rate": 2.132840216423007e-06, + "loss": 1.1067, + "step": 3413 + }, + { + "epoch": 1.45, + "learning_rate": 2.132374159881216e-06, + "loss": 1.0612, + "step": 3414 + }, + { + "epoch": 1.45, + "learning_rate": 2.1319080290846064e-06, + "loss": 0.9129, + "step": 3415 + }, + { + "epoch": 1.45, + "learning_rate": 2.1314418240879107e-06, + "loss": 1.209, + "step": 3416 + }, + { + "epoch": 1.46, + "learning_rate": 2.1309755449458726e-06, + "loss": 0.8395, + "step": 3417 + }, + { + "epoch": 1.46, + "learning_rate": 2.1305091917132434e-06, + "loss": 0.5709, + "step": 3418 + }, + { + "epoch": 1.46, + "learning_rate": 2.130042764444784e-06, + "loss": 0.9937, + "step": 3419 + }, + { + "epoch": 1.46, + "learning_rate": 2.129576263195262e-06, + "loss": 0.9892, + "step": 3420 + }, + { + "epoch": 1.46, + "learning_rate": 2.129109688019456e-06, + "loss": 0.7849, + "step": 3421 + }, + { + "epoch": 1.46, + "learning_rate": 2.1286430389721523e-06, + "loss": 0.9343, + "step": 3422 + }, + { + "epoch": 1.46, + "learning_rate": 2.1281763161081456e-06, + "loss": 1.038, + "step": 3423 + }, + { + "epoch": 1.46, + "learning_rate": 2.12770951948224e-06, + "loss": 1.0558, + "step": 3424 + }, + { + "epoch": 1.46, + "learning_rate": 2.1272426491492474e-06, + "loss": 1.334, + "step": 3425 + }, + { + "epoch": 1.46, + "learning_rate": 2.1267757051639894e-06, + "loss": 1.2139, + "step": 3426 + }, + { + "epoch": 1.46, + "learning_rate": 2.126308687581294e-06, + "loss": 1.0162, + "step": 3427 + }, + { + "epoch": 1.46, + "learning_rate": 2.125841596456001e-06, + "loss": 1.0943, + "step": 3428 + }, + { + "epoch": 1.46, + "learning_rate": 2.125374431842958e-06, + "loss": 0.9962, + "step": 3429 + }, + { + "epoch": 1.46, + "learning_rate": 2.1249071937970185e-06, + "loss": 1.0939, + "step": 3430 + }, + { + "epoch": 1.46, + "learning_rate": 2.124439882373048e-06, + "loss": 1.0588, + "step": 3431 + }, + { + "epoch": 1.46, + "learning_rate": 2.1239724976259184e-06, + "loss": 0.9338, + "step": 3432 + }, + { + "epoch": 1.46, + "learning_rate": 2.123505039610512e-06, + "loss": 1.1362, + "step": 3433 + }, + { + "epoch": 1.46, + "learning_rate": 2.123037508381718e-06, + "loss": 1.2055, + "step": 3434 + }, + { + "epoch": 1.46, + "learning_rate": 2.1225699039944357e-06, + "loss": 0.9658, + "step": 3435 + }, + { + "epoch": 1.46, + "learning_rate": 2.1221022265035715e-06, + "loss": 0.8397, + "step": 3436 + }, + { + "epoch": 1.46, + "learning_rate": 2.121634475964042e-06, + "loss": 1.5609, + "step": 3437 + }, + { + "epoch": 1.46, + "learning_rate": 2.1211666524307716e-06, + "loss": 0.6663, + "step": 3438 + }, + { + "epoch": 1.46, + "learning_rate": 2.120698755958692e-06, + "loss": 0.9195, + "step": 3439 + }, + { + "epoch": 1.47, + "learning_rate": 2.1202307866027454e-06, + "loss": 1.1912, + "step": 3440 + }, + { + "epoch": 1.47, + "learning_rate": 2.1197627444178824e-06, + "loss": 0.9285, + "step": 3441 + }, + { + "epoch": 1.47, + "learning_rate": 2.1192946294590606e-06, + "loss": 1.0135, + "step": 3442 + }, + { + "epoch": 1.47, + "learning_rate": 2.1188264417812477e-06, + "loss": 0.9355, + "step": 3443 + }, + { + "epoch": 1.47, + "learning_rate": 2.118358181439419e-06, + "loss": 0.9542, + "step": 3444 + }, + { + "epoch": 1.47, + "learning_rate": 2.117889848488559e-06, + "loss": 1.0196, + "step": 3445 + }, + { + "epoch": 1.47, + "learning_rate": 2.1174214429836605e-06, + "loss": 1.1495, + "step": 3446 + }, + { + "epoch": 1.47, + "learning_rate": 2.1169529649797248e-06, + "loss": 0.9865, + "step": 3447 + }, + { + "epoch": 1.47, + "learning_rate": 2.116484414531761e-06, + "loss": 1.118, + "step": 3448 + }, + { + "epoch": 1.47, + "learning_rate": 2.1160157916947885e-06, + "loss": 1.4312, + "step": 3449 + }, + { + "epoch": 1.47, + "learning_rate": 2.115547096523833e-06, + "loss": 1.0783, + "step": 3450 + }, + { + "epoch": 1.47, + "learning_rate": 2.11507832907393e-06, + "loss": 0.7274, + "step": 3451 + }, + { + "epoch": 1.47, + "learning_rate": 2.114609489400123e-06, + "loss": 0.7253, + "step": 3452 + }, + { + "epoch": 1.47, + "learning_rate": 2.1141405775574653e-06, + "loss": 1.218, + "step": 3453 + }, + { + "epoch": 1.47, + "learning_rate": 2.113671593601017e-06, + "loss": 1.1505, + "step": 3454 + }, + { + "epoch": 1.47, + "learning_rate": 2.1132025375858467e-06, + "loss": 0.8591, + "step": 3455 + }, + { + "epoch": 1.47, + "learning_rate": 2.1127334095670327e-06, + "loss": 1.02, + "step": 3456 + }, + { + "epoch": 1.47, + "learning_rate": 2.112264209599661e-06, + "loss": 1.0158, + "step": 3457 + }, + { + "epoch": 1.47, + "learning_rate": 2.111794937738826e-06, + "loss": 0.8646, + "step": 3458 + }, + { + "epoch": 1.47, + "learning_rate": 2.111325594039631e-06, + "loss": 1.0452, + "step": 3459 + }, + { + "epoch": 1.47, + "learning_rate": 2.110856178557187e-06, + "loss": 1.0788, + "step": 3460 + }, + { + "epoch": 1.47, + "learning_rate": 2.1103866913466133e-06, + "loss": 1.223, + "step": 3461 + }, + { + "epoch": 1.47, + "learning_rate": 2.1099171324630393e-06, + "loss": 0.8839, + "step": 3462 + }, + { + "epoch": 1.48, + "learning_rate": 2.1094475019616013e-06, + "loss": 1.1844, + "step": 3463 + }, + { + "epoch": 1.48, + "learning_rate": 2.1089777998974438e-06, + "loss": 1.0687, + "step": 3464 + }, + { + "epoch": 1.48, + "learning_rate": 2.1085080263257218e-06, + "loss": 1.0343, + "step": 3465 + }, + { + "epoch": 1.48, + "learning_rate": 2.1080381813015953e-06, + "loss": 0.9698, + "step": 3466 + }, + { + "epoch": 1.48, + "learning_rate": 2.1075682648802354e-06, + "loss": 0.9962, + "step": 3467 + }, + { + "epoch": 1.48, + "learning_rate": 2.107098277116821e-06, + "loss": 1.0555, + "step": 3468 + }, + { + "epoch": 1.48, + "learning_rate": 2.1066282180665395e-06, + "loss": 0.6337, + "step": 3469 + }, + { + "epoch": 1.48, + "learning_rate": 2.1061580877845845e-06, + "loss": 1.1165, + "step": 3470 + }, + { + "epoch": 1.48, + "learning_rate": 2.105687886326162e-06, + "loss": 1.0191, + "step": 3471 + }, + { + "epoch": 1.48, + "learning_rate": 2.1052176137464825e-06, + "loss": 0.8836, + "step": 3472 + }, + { + "epoch": 1.48, + "learning_rate": 2.104747270100768e-06, + "loss": 0.7901, + "step": 3473 + }, + { + "epoch": 1.48, + "learning_rate": 2.1042768554442454e-06, + "loss": 0.9752, + "step": 3474 + }, + { + "epoch": 1.48, + "learning_rate": 2.1038063698321538e-06, + "loss": 0.9118, + "step": 3475 + }, + { + "epoch": 1.48, + "learning_rate": 2.1033358133197376e-06, + "loss": 1.0307, + "step": 3476 + }, + { + "epoch": 1.48, + "learning_rate": 2.1028651859622502e-06, + "loss": 1.0669, + "step": 3477 + }, + { + "epoch": 1.48, + "learning_rate": 2.1023944878149554e-06, + "loss": 1.1364, + "step": 3478 + }, + { + "epoch": 1.48, + "learning_rate": 2.101923718933122e-06, + "loss": 0.9276, + "step": 3479 + }, + { + "epoch": 1.48, + "learning_rate": 2.1014528793720296e-06, + "loss": 0.7816, + "step": 3480 + }, + { + "epoch": 1.48, + "eval_loss": 1.2555830478668213, + "eval_runtime": 32.1093, + "eval_samples_per_second": 38.774, + "eval_steps_per_second": 19.403, + "step": 3480 + }, + { + "epoch": 1.48, + "learning_rate": 2.1009819691869647e-06, + "loss": 0.9084, + "step": 3481 + }, + { + "epoch": 1.48, + "learning_rate": 2.1005109884332236e-06, + "loss": 1.1883, + "step": 3482 + }, + { + "epoch": 1.48, + "learning_rate": 2.1000399371661092e-06, + "loss": 0.6838, + "step": 3483 + }, + { + "epoch": 1.48, + "learning_rate": 2.0995688154409334e-06, + "loss": 0.8309, + "step": 3484 + }, + { + "epoch": 1.48, + "learning_rate": 2.0990976233130163e-06, + "loss": 0.771, + "step": 3485 + }, + { + "epoch": 1.49, + "learning_rate": 2.098626360837687e-06, + "loss": 0.5415, + "step": 3486 + }, + { + "epoch": 1.49, + "learning_rate": 2.0981550280702813e-06, + "loss": 1.2632, + "step": 3487 + }, + { + "epoch": 1.49, + "learning_rate": 2.0976836250661453e-06, + "loss": 0.9579, + "step": 3488 + }, + { + "epoch": 1.49, + "learning_rate": 2.097212151880631e-06, + "loss": 1.1008, + "step": 3489 + }, + { + "epoch": 1.49, + "learning_rate": 2.096740608569101e-06, + "loss": 1.0163, + "step": 3490 + }, + { + "epoch": 1.49, + "learning_rate": 2.096268995186924e-06, + "loss": 1.5051, + "step": 3491 + }, + { + "epoch": 1.49, + "learning_rate": 2.0957973117894788e-06, + "loss": 0.6761, + "step": 3492 + }, + { + "epoch": 1.49, + "learning_rate": 2.095325558432151e-06, + "loss": 0.8352, + "step": 3493 + }, + { + "epoch": 1.49, + "learning_rate": 2.094853735170335e-06, + "loss": 0.8289, + "step": 3494 + }, + { + "epoch": 1.49, + "learning_rate": 2.0943818420594336e-06, + "loss": 1.0935, + "step": 3495 + }, + { + "epoch": 1.49, + "learning_rate": 2.0939098791548566e-06, + "loss": 0.6221, + "step": 3496 + }, + { + "epoch": 1.49, + "learning_rate": 2.093437846512025e-06, + "loss": 0.5272, + "step": 3497 + }, + { + "epoch": 1.49, + "learning_rate": 2.092965744186364e-06, + "loss": 0.9987, + "step": 3498 + }, + { + "epoch": 1.49, + "learning_rate": 2.09249357223331e-06, + "loss": 1.1002, + "step": 3499 + }, + { + "epoch": 1.49, + "learning_rate": 2.092021330708306e-06, + "loss": 0.8967, + "step": 3500 + }, + { + "epoch": 1.49, + "learning_rate": 2.091549019666804e-06, + "loss": 0.6201, + "step": 3501 + }, + { + "epoch": 1.49, + "learning_rate": 2.0910766391642632e-06, + "loss": 1.1211, + "step": 3502 + }, + { + "epoch": 1.49, + "learning_rate": 2.0906041892561523e-06, + "loss": 0.9487, + "step": 3503 + }, + { + "epoch": 1.49, + "learning_rate": 2.0901316699979477e-06, + "loss": 0.9628, + "step": 3504 + }, + { + "epoch": 1.49, + "learning_rate": 2.0896590814451325e-06, + "loss": 0.8315, + "step": 3505 + }, + { + "epoch": 1.49, + "learning_rate": 2.0891864236532007e-06, + "loss": 1.1357, + "step": 3506 + }, + { + "epoch": 1.49, + "learning_rate": 2.088713696677651e-06, + "loss": 0.7443, + "step": 3507 + }, + { + "epoch": 1.49, + "learning_rate": 2.0882409005739943e-06, + "loss": 0.9679, + "step": 3508 + }, + { + "epoch": 1.5, + "learning_rate": 2.0877680353977454e-06, + "loss": 0.8472, + "step": 3509 + }, + { + "epoch": 1.5, + "learning_rate": 2.0872951012044304e-06, + "loss": 0.5642, + "step": 3510 + }, + { + "epoch": 1.5, + "learning_rate": 2.0868220980495815e-06, + "loss": 1.0703, + "step": 3511 + }, + { + "epoch": 1.5, + "learning_rate": 2.086349025988741e-06, + "loss": 0.9932, + "step": 3512 + }, + { + "epoch": 1.5, + "learning_rate": 2.085875885077457e-06, + "loss": 1.2928, + "step": 3513 + }, + { + "epoch": 1.5, + "learning_rate": 2.0854026753712863e-06, + "loss": 0.8754, + "step": 3514 + }, + { + "epoch": 1.5, + "learning_rate": 2.084929396925796e-06, + "loss": 1.1539, + "step": 3515 + }, + { + "epoch": 1.5, + "learning_rate": 2.0844560497965585e-06, + "loss": 0.9104, + "step": 3516 + }, + { + "epoch": 1.5, + "learning_rate": 2.083982634039155e-06, + "loss": 1.2779, + "step": 3517 + }, + { + "epoch": 1.5, + "learning_rate": 2.083509149709176e-06, + "loss": 0.9091, + "step": 3518 + }, + { + "epoch": 1.5, + "learning_rate": 2.0830355968622183e-06, + "loss": 0.83, + "step": 3519 + }, + { + "epoch": 1.5, + "learning_rate": 2.082561975553888e-06, + "loss": 0.8403, + "step": 3520 + }, + { + "epoch": 1.5, + "learning_rate": 2.0820882858397985e-06, + "loss": 0.594, + "step": 3521 + }, + { + "epoch": 1.5, + "learning_rate": 2.081614527775572e-06, + "loss": 0.7707, + "step": 3522 + }, + { + "epoch": 1.5, + "learning_rate": 2.081140701416838e-06, + "loss": 0.965, + "step": 3523 + }, + { + "epoch": 1.5, + "learning_rate": 2.080666806819234e-06, + "loss": 0.9338, + "step": 3524 + }, + { + "epoch": 1.5, + "learning_rate": 2.0801928440384056e-06, + "loss": 0.883, + "step": 3525 + }, + { + "epoch": 1.5, + "learning_rate": 2.079718813130008e-06, + "loss": 1.0065, + "step": 3526 + }, + { + "epoch": 1.5, + "learning_rate": 2.0792447141497014e-06, + "loss": 0.7347, + "step": 3527 + }, + { + "epoch": 1.5, + "learning_rate": 2.078770547153156e-06, + "loss": 0.8012, + "step": 3528 + }, + { + "epoch": 1.5, + "learning_rate": 2.07829631219605e-06, + "loss": 1.2052, + "step": 3529 + }, + { + "epoch": 1.5, + "learning_rate": 2.077822009334069e-06, + "loss": 0.9172, + "step": 3530 + }, + { + "epoch": 1.5, + "learning_rate": 2.077347638622906e-06, + "loss": 0.949, + "step": 3531 + }, + { + "epoch": 1.5, + "learning_rate": 2.076873200118264e-06, + "loss": 1.0354, + "step": 3532 + }, + { + "epoch": 1.51, + "learning_rate": 2.0763986938758515e-06, + "loss": 1.0538, + "step": 3533 + }, + { + "epoch": 1.51, + "learning_rate": 2.0759241199513872e-06, + "loss": 1.1268, + "step": 3534 + }, + { + "epoch": 1.51, + "learning_rate": 2.075449478400596e-06, + "loss": 0.7609, + "step": 3535 + }, + { + "epoch": 1.51, + "learning_rate": 2.074974769279211e-06, + "loss": 0.923, + "step": 3536 + }, + { + "epoch": 1.51, + "learning_rate": 2.074499992642974e-06, + "loss": 1.1472, + "step": 3537 + }, + { + "epoch": 1.51, + "learning_rate": 2.074025148547635e-06, + "loss": 0.7846, + "step": 3538 + }, + { + "epoch": 1.51, + "learning_rate": 2.07355023704895e-06, + "loss": 1.0487, + "step": 3539 + }, + { + "epoch": 1.51, + "learning_rate": 2.073075258202685e-06, + "loss": 1.0827, + "step": 3540 + }, + { + "epoch": 1.51, + "learning_rate": 2.0726002120646136e-06, + "loss": 0.6781, + "step": 3541 + }, + { + "epoch": 1.51, + "learning_rate": 2.072125098690516e-06, + "loss": 1.0726, + "step": 3542 + }, + { + "epoch": 1.51, + "learning_rate": 2.071649918136181e-06, + "loss": 0.9987, + "step": 3543 + }, + { + "epoch": 1.51, + "learning_rate": 2.071174670457406e-06, + "loss": 0.8616, + "step": 3544 + }, + { + "epoch": 1.51, + "learning_rate": 2.070699355709995e-06, + "loss": 1.2795, + "step": 3545 + }, + { + "epoch": 1.51, + "learning_rate": 2.0702239739497612e-06, + "loss": 0.9547, + "step": 3546 + }, + { + "epoch": 1.51, + "learning_rate": 2.069748525232525e-06, + "loss": 0.8258, + "step": 3547 + }, + { + "epoch": 1.51, + "learning_rate": 2.0692730096141138e-06, + "loss": 1.163, + "step": 3548 + }, + { + "epoch": 1.51, + "learning_rate": 2.0687974271503645e-06, + "loss": 1.1324, + "step": 3549 + }, + { + "epoch": 1.51, + "learning_rate": 2.0683217778971213e-06, + "loss": 1.35, + "step": 3550 + }, + { + "epoch": 1.51, + "learning_rate": 2.0678460619102348e-06, + "loss": 1.0576, + "step": 3551 + }, + { + "epoch": 1.51, + "learning_rate": 2.067370279245566e-06, + "loss": 0.8916, + "step": 3552 + }, + { + "epoch": 1.51, + "learning_rate": 2.066894429958982e-06, + "loss": 0.9805, + "step": 3553 + }, + { + "epoch": 1.51, + "learning_rate": 2.0664185141063575e-06, + "loss": 0.9688, + "step": 3554 + }, + { + "epoch": 1.51, + "learning_rate": 2.0659425317435766e-06, + "loss": 0.9113, + "step": 3555 + }, + { + "epoch": 1.52, + "learning_rate": 2.0654664829265297e-06, + "loss": 0.8617, + "step": 3556 + }, + { + "epoch": 1.52, + "learning_rate": 2.064990367711116e-06, + "loss": 1.0067, + "step": 3557 + }, + { + "epoch": 1.52, + "learning_rate": 2.064514186153241e-06, + "loss": 0.7755, + "step": 3558 + }, + { + "epoch": 1.52, + "learning_rate": 2.0640379383088196e-06, + "loss": 1.1914, + "step": 3559 + }, + { + "epoch": 1.52, + "learning_rate": 2.063561624233774e-06, + "loss": 1.1308, + "step": 3560 + }, + { + "epoch": 1.52, + "learning_rate": 2.0630852439840343e-06, + "loss": 0.9927, + "step": 3561 + }, + { + "epoch": 1.52, + "learning_rate": 2.0626087976155376e-06, + "loss": 0.9418, + "step": 3562 + }, + { + "epoch": 1.52, + "learning_rate": 2.06213228518423e-06, + "loss": 0.8246, + "step": 3563 + }, + { + "epoch": 1.52, + "learning_rate": 2.0616557067460642e-06, + "loss": 1.2416, + "step": 3564 + }, + { + "epoch": 1.52, + "learning_rate": 2.061179062357001e-06, + "loss": 0.7887, + "step": 3565 + }, + { + "epoch": 1.52, + "learning_rate": 2.0607023520730092e-06, + "loss": 1.169, + "step": 3566 + }, + { + "epoch": 1.52, + "learning_rate": 2.060225575950066e-06, + "loss": 0.8004, + "step": 3567 + }, + { + "epoch": 1.52, + "learning_rate": 2.0597487340441545e-06, + "loss": 0.9793, + "step": 3568 + }, + { + "epoch": 1.52, + "learning_rate": 2.059271826411267e-06, + "loss": 0.8564, + "step": 3569 + }, + { + "epoch": 1.52, + "learning_rate": 2.058794853107403e-06, + "loss": 1.0621, + "step": 3570 + }, + { + "epoch": 1.52, + "learning_rate": 2.0583178141885693e-06, + "loss": 1.0057, + "step": 3571 + }, + { + "epoch": 1.52, + "learning_rate": 2.0578407097107824e-06, + "loss": 0.7074, + "step": 3572 + }, + { + "epoch": 1.52, + "learning_rate": 2.0573635397300636e-06, + "loss": 1.0954, + "step": 3573 + }, + { + "epoch": 1.52, + "learning_rate": 2.0568863043024433e-06, + "loss": 0.8141, + "step": 3574 + }, + { + "epoch": 1.52, + "learning_rate": 2.0564090034839604e-06, + "loss": 0.9034, + "step": 3575 + }, + { + "epoch": 1.52, + "learning_rate": 2.05593163733066e-06, + "loss": 0.9328, + "step": 3576 + }, + { + "epoch": 1.52, + "learning_rate": 2.055454205898596e-06, + "loss": 1.1355, + "step": 3577 + }, + { + "epoch": 1.52, + "learning_rate": 2.054976709243829e-06, + "loss": 0.5724, + "step": 3578 + }, + { + "epoch": 1.53, + "learning_rate": 2.054499147422428e-06, + "loss": 0.8618, + "step": 3579 + }, + { + "epoch": 1.53, + "learning_rate": 2.0540215204904696e-06, + "loss": 1.1201, + "step": 3580 + }, + { + "epoch": 1.53, + "learning_rate": 2.0535438285040376e-06, + "loss": 0.6755, + "step": 3581 + }, + { + "epoch": 1.53, + "learning_rate": 2.0530660715192237e-06, + "loss": 0.54, + "step": 3582 + }, + { + "epoch": 1.53, + "learning_rate": 2.052588249592127e-06, + "loss": 0.7017, + "step": 3583 + }, + { + "epoch": 1.53, + "learning_rate": 2.052110362778855e-06, + "loss": 1.1076, + "step": 3584 + }, + { + "epoch": 1.53, + "learning_rate": 2.0516324111355222e-06, + "loss": 0.7498, + "step": 3585 + }, + { + "epoch": 1.53, + "learning_rate": 2.0511543947182504e-06, + "loss": 0.8829, + "step": 3586 + }, + { + "epoch": 1.53, + "learning_rate": 2.0506763135831695e-06, + "loss": 0.5821, + "step": 3587 + }, + { + "epoch": 1.53, + "learning_rate": 2.0501981677864164e-06, + "loss": 0.7813, + "step": 3588 + }, + { + "epoch": 1.53, + "learning_rate": 2.0497199573841366e-06, + "loss": 0.8382, + "step": 3589 + }, + { + "epoch": 1.53, + "learning_rate": 2.049241682432483e-06, + "loss": 1.0323, + "step": 3590 + }, + { + "epoch": 1.53, + "learning_rate": 2.0487633429876154e-06, + "loss": 0.9613, + "step": 3591 + }, + { + "epoch": 1.53, + "learning_rate": 2.0482849391057013e-06, + "loss": 1.0322, + "step": 3592 + }, + { + "epoch": 1.53, + "learning_rate": 2.047806470842916e-06, + "loss": 1.0238, + "step": 3593 + }, + { + "epoch": 1.53, + "learning_rate": 2.047327938255443e-06, + "loss": 1.0794, + "step": 3594 + }, + { + "epoch": 1.53, + "learning_rate": 2.046849341399472e-06, + "loss": 0.9089, + "step": 3595 + }, + { + "epoch": 1.53, + "learning_rate": 2.0463706803312004e-06, + "loss": 0.8161, + "step": 3596 + }, + { + "epoch": 1.53, + "learning_rate": 2.045891955106835e-06, + "loss": 0.8495, + "step": 3597 + }, + { + "epoch": 1.53, + "learning_rate": 2.0454131657825883e-06, + "loss": 1.0967, + "step": 3598 + }, + { + "epoch": 1.53, + "learning_rate": 2.0449343124146807e-06, + "loss": 0.946, + "step": 3599 + }, + { + "epoch": 1.53, + "learning_rate": 2.04445539505934e-06, + "loss": 1.2055, + "step": 3600 + }, + { + "epoch": 1.53, + "learning_rate": 2.043976413772802e-06, + "loss": 0.8372, + "step": 3601 + }, + { + "epoch": 1.54, + "learning_rate": 2.0434973686113102e-06, + "loss": 0.8591, + "step": 3602 + }, + { + "epoch": 1.54, + "learning_rate": 2.0430182596311145e-06, + "loss": 1.0872, + "step": 3603 + }, + { + "epoch": 1.54, + "learning_rate": 2.0425390868884737e-06, + "loss": 1.1383, + "step": 3604 + }, + { + "epoch": 1.54, + "learning_rate": 2.0420598504396526e-06, + "loss": 1.0215, + "step": 3605 + }, + { + "epoch": 1.54, + "learning_rate": 2.041580550340925e-06, + "loss": 0.969, + "step": 3606 + }, + { + "epoch": 1.54, + "learning_rate": 2.0411011866485707e-06, + "loss": 1.293, + "step": 3607 + }, + { + "epoch": 1.54, + "learning_rate": 2.040621759418878e-06, + "loss": 0.9651, + "step": 3608 + }, + { + "epoch": 1.54, + "learning_rate": 2.040142268708142e-06, + "loss": 1.0998, + "step": 3609 + }, + { + "epoch": 1.54, + "learning_rate": 2.0396627145726665e-06, + "loss": 0.6426, + "step": 3610 + }, + { + "epoch": 1.54, + "learning_rate": 2.0391830970687607e-06, + "loss": 0.7922, + "step": 3611 + }, + { + "epoch": 1.54, + "learning_rate": 2.0387034162527434e-06, + "loss": 1.1775, + "step": 3612 + }, + { + "epoch": 1.54, + "learning_rate": 2.038223672180939e-06, + "loss": 0.8794, + "step": 3613 + }, + { + "epoch": 1.54, + "learning_rate": 2.037743864909681e-06, + "loss": 1.1183, + "step": 3614 + }, + { + "epoch": 1.54, + "learning_rate": 2.0372639944953084e-06, + "loss": 0.5915, + "step": 3615 + }, + { + "epoch": 1.54, + "learning_rate": 2.0367840609941697e-06, + "loss": 1.0006, + "step": 3616 + }, + { + "epoch": 1.54, + "learning_rate": 2.0363040644626196e-06, + "loss": 0.6532, + "step": 3617 + }, + { + "epoch": 1.54, + "learning_rate": 2.0358240049570196e-06, + "loss": 1.0311, + "step": 3618 + }, + { + "epoch": 1.54, + "learning_rate": 2.03534388253374e-06, + "loss": 0.7406, + "step": 3619 + }, + { + "epoch": 1.54, + "learning_rate": 2.034863697249158e-06, + "loss": 0.9305, + "step": 3620 + }, + { + "epoch": 1.54, + "learning_rate": 2.034383449159658e-06, + "loss": 1.0239, + "step": 3621 + }, + { + "epoch": 1.54, + "learning_rate": 2.033903138321631e-06, + "loss": 0.6138, + "step": 3622 + }, + { + "epoch": 1.54, + "learning_rate": 2.0334227647914776e-06, + "loss": 1.0625, + "step": 3623 + }, + { + "epoch": 1.54, + "learning_rate": 2.032942328625603e-06, + "loss": 0.9581, + "step": 3624 + }, + { + "epoch": 1.55, + "learning_rate": 2.032461829880422e-06, + "loss": 1.1433, + "step": 3625 + }, + { + "epoch": 1.55, + "learning_rate": 2.0319812686123557e-06, + "loss": 1.0484, + "step": 3626 + }, + { + "epoch": 1.55, + "learning_rate": 2.0315006448778325e-06, + "loss": 0.9077, + "step": 3627 + }, + { + "epoch": 1.55, + "learning_rate": 2.031019958733289e-06, + "loss": 0.705, + "step": 3628 + }, + { + "epoch": 1.55, + "learning_rate": 2.0305392102351673e-06, + "loss": 0.8236, + "step": 3629 + }, + { + "epoch": 1.55, + "learning_rate": 2.0300583994399187e-06, + "loss": 1.1857, + "step": 3630 + }, + { + "epoch": 1.55, + "learning_rate": 2.029577526404001e-06, + "loss": 0.7853, + "step": 3631 + }, + { + "epoch": 1.55, + "learning_rate": 2.029096591183879e-06, + "loss": 1.3357, + "step": 3632 + }, + { + "epoch": 1.55, + "learning_rate": 2.0286155938360262e-06, + "loss": 1.173, + "step": 3633 + }, + { + "epoch": 1.55, + "learning_rate": 2.028134534416922e-06, + "loss": 0.8147, + "step": 3634 + }, + { + "epoch": 1.55, + "learning_rate": 2.027653412983053e-06, + "loss": 0.7953, + "step": 3635 + }, + { + "epoch": 1.55, + "learning_rate": 2.027172229590914e-06, + "loss": 1.0691, + "step": 3636 + }, + { + "epoch": 1.55, + "learning_rate": 2.0266909842970065e-06, + "loss": 1.1124, + "step": 3637 + }, + { + "epoch": 1.55, + "learning_rate": 2.0262096771578395e-06, + "loss": 0.8838, + "step": 3638 + }, + { + "epoch": 1.55, + "learning_rate": 2.0257283082299293e-06, + "loss": 1.0838, + "step": 3639 + }, + { + "epoch": 1.55, + "learning_rate": 2.0252468775697993e-06, + "loss": 1.1096, + "step": 3640 + }, + { + "epoch": 1.55, + "learning_rate": 2.0247653852339795e-06, + "loss": 0.948, + "step": 3641 + }, + { + "epoch": 1.55, + "learning_rate": 2.024283831279009e-06, + "loss": 0.9074, + "step": 3642 + }, + { + "epoch": 1.55, + "learning_rate": 2.0238022157614323e-06, + "loss": 0.9699, + "step": 3643 + }, + { + "epoch": 1.55, + "learning_rate": 2.023320538737802e-06, + "loss": 0.7436, + "step": 3644 + }, + { + "epoch": 1.55, + "learning_rate": 2.022838800264677e-06, + "loss": 0.8278, + "step": 3645 + }, + { + "epoch": 1.55, + "learning_rate": 2.0223570003986253e-06, + "loss": 1.1281, + "step": 3646 + }, + { + "epoch": 1.55, + "learning_rate": 2.02187513919622e-06, + "loss": 1.181, + "step": 3647 + }, + { + "epoch": 1.56, + "learning_rate": 2.0213932167140435e-06, + "loss": 1.2477, + "step": 3648 + }, + { + "epoch": 1.56, + "learning_rate": 2.0209112330086833e-06, + "loss": 0.9957, + "step": 3649 + }, + { + "epoch": 1.56, + "learning_rate": 2.020429188136734e-06, + "loss": 0.6052, + "step": 3650 + }, + { + "epoch": 1.56, + "learning_rate": 2.019947082154801e-06, + "loss": 0.8805, + "step": 3651 + }, + { + "epoch": 1.56, + "learning_rate": 2.0194649151194924e-06, + "loss": 0.6393, + "step": 3652 + }, + { + "epoch": 1.56, + "learning_rate": 2.018982687087426e-06, + "loss": 0.3233, + "step": 3653 + }, + { + "epoch": 1.56, + "learning_rate": 2.0185003981152255e-06, + "loss": 1.0226, + "step": 3654 + }, + { + "epoch": 1.56, + "learning_rate": 2.0180180482595235e-06, + "loss": 0.8804, + "step": 3655 + }, + { + "epoch": 1.56, + "learning_rate": 2.0175356375769575e-06, + "loss": 1.2015, + "step": 3656 + }, + { + "epoch": 1.56, + "learning_rate": 2.017053166124174e-06, + "loss": 0.5624, + "step": 3657 + }, + { + "epoch": 1.56, + "learning_rate": 2.0165706339578257e-06, + "loss": 0.6916, + "step": 3658 + }, + { + "epoch": 1.56, + "learning_rate": 2.0160880411345717e-06, + "loss": 0.9994, + "step": 3659 + }, + { + "epoch": 1.56, + "learning_rate": 2.0156053877110807e-06, + "loss": 1.1047, + "step": 3660 + }, + { + "epoch": 1.56, + "learning_rate": 2.015122673744026e-06, + "loss": 1.1546, + "step": 3661 + }, + { + "epoch": 1.56, + "learning_rate": 2.01463989929009e-06, + "loss": 6.212, + "step": 3662 + }, + { + "epoch": 1.56, + "learning_rate": 2.01415706440596e-06, + "loss": 1.0233, + "step": 3663 + }, + { + "epoch": 1.56, + "learning_rate": 2.0136741691483317e-06, + "loss": 0.7629, + "step": 3664 + }, + { + "epoch": 1.56, + "learning_rate": 2.0131912135739083e-06, + "loss": 0.8331, + "step": 3665 + }, + { + "epoch": 1.56, + "learning_rate": 2.0127081977393994e-06, + "loss": 1.0535, + "step": 3666 + }, + { + "epoch": 1.56, + "learning_rate": 2.012225121701522e-06, + "loss": 0.9929, + "step": 3667 + }, + { + "epoch": 1.56, + "learning_rate": 2.0117419855169996e-06, + "loss": 1.237, + "step": 3668 + }, + { + "epoch": 1.56, + "learning_rate": 2.011258789242563e-06, + "loss": 0.7752, + "step": 3669 + }, + { + "epoch": 1.56, + "learning_rate": 2.0107755329349508e-06, + "loss": 1.1141, + "step": 3670 + }, + { + "epoch": 1.56, + "learning_rate": 2.0102922166509073e-06, + "loss": 0.8553, + "step": 3671 + }, + { + "epoch": 1.57, + "learning_rate": 2.0098088404471856e-06, + "loss": 0.9774, + "step": 3672 + }, + { + "epoch": 1.57, + "learning_rate": 2.0093254043805446e-06, + "loss": 0.6756, + "step": 3673 + }, + { + "epoch": 1.57, + "learning_rate": 2.0088419085077494e-06, + "loss": 0.9508, + "step": 3674 + }, + { + "epoch": 1.57, + "learning_rate": 2.008358352885574e-06, + "loss": 1.0905, + "step": 3675 + }, + { + "epoch": 1.57, + "learning_rate": 2.007874737570799e-06, + "loss": 0.9693, + "step": 3676 + }, + { + "epoch": 1.57, + "learning_rate": 2.007391062620211e-06, + "loss": 1.2101, + "step": 3677 + }, + { + "epoch": 1.57, + "learning_rate": 2.0069073280906047e-06, + "loss": 0.8022, + "step": 3678 + }, + { + "epoch": 1.57, + "learning_rate": 2.006423534038781e-06, + "loss": 1.0651, + "step": 3679 + }, + { + "epoch": 1.57, + "learning_rate": 2.005939680521548e-06, + "loss": 0.6834, + "step": 3680 + }, + { + "epoch": 1.57, + "learning_rate": 2.005455767595721e-06, + "loss": 1.1031, + "step": 3681 + }, + { + "epoch": 1.57, + "learning_rate": 2.0049717953181224e-06, + "loss": 0.9753, + "step": 3682 + }, + { + "epoch": 1.57, + "learning_rate": 2.0044877637455806e-06, + "loss": 1.0437, + "step": 3683 + }, + { + "epoch": 1.57, + "learning_rate": 2.0040036729349325e-06, + "loss": 1.2557, + "step": 3684 + }, + { + "epoch": 1.57, + "learning_rate": 2.003519522943021e-06, + "loss": 0.9242, + "step": 3685 + }, + { + "epoch": 1.57, + "learning_rate": 2.003035313826696e-06, + "loss": 0.7665, + "step": 3686 + }, + { + "epoch": 1.57, + "learning_rate": 2.0025510456428144e-06, + "loss": 1.1757, + "step": 3687 + }, + { + "epoch": 1.57, + "learning_rate": 2.0020667184482397e-06, + "loss": 0.7617, + "step": 3688 + }, + { + "epoch": 1.57, + "learning_rate": 2.001582332299843e-06, + "loss": 0.9334, + "step": 3689 + }, + { + "epoch": 1.57, + "learning_rate": 2.0010978872545028e-06, + "loss": 0.911, + "step": 3690 + }, + { + "epoch": 1.57, + "learning_rate": 2.0006133833691026e-06, + "loss": 1.1607, + "step": 3691 + }, + { + "epoch": 1.57, + "learning_rate": 2.0001288207005344e-06, + "loss": 0.8018, + "step": 3692 + }, + { + "epoch": 1.57, + "learning_rate": 1.9996441993056965e-06, + "loss": 0.6397, + "step": 3693 + }, + { + "epoch": 1.57, + "learning_rate": 1.9991595192414947e-06, + "loss": 0.9178, + "step": 3694 + }, + { + "epoch": 1.58, + "learning_rate": 1.998674780564841e-06, + "loss": 1.0392, + "step": 3695 + }, + { + "epoch": 1.58, + "learning_rate": 1.9981899833326544e-06, + "loss": 0.7797, + "step": 3696 + }, + { + "epoch": 1.58, + "learning_rate": 1.997705127601861e-06, + "loss": 0.8085, + "step": 3697 + }, + { + "epoch": 1.58, + "learning_rate": 1.9972202134293937e-06, + "loss": 0.7719, + "step": 3698 + }, + { + "epoch": 1.58, + "learning_rate": 1.996735240872192e-06, + "loss": 0.8109, + "step": 3699 + }, + { + "epoch": 1.58, + "learning_rate": 1.9962502099872025e-06, + "loss": 1.117, + "step": 3700 + }, + { + "epoch": 1.58, + "learning_rate": 1.995765120831379e-06, + "loss": 0.5963, + "step": 3701 + }, + { + "epoch": 1.58, + "learning_rate": 1.995279973461682e-06, + "loss": 0.8511, + "step": 3702 + }, + { + "epoch": 1.58, + "learning_rate": 1.9947947679350775e-06, + "loss": 0.8789, + "step": 3703 + }, + { + "epoch": 1.58, + "learning_rate": 1.9943095043085405e-06, + "loss": 0.8314, + "step": 3704 + }, + { + "epoch": 1.58, + "learning_rate": 1.9938241826390513e-06, + "loss": 1.0667, + "step": 3705 + }, + { + "epoch": 1.58, + "learning_rate": 1.993338802983598e-06, + "loss": 0.7124, + "step": 3706 + }, + { + "epoch": 1.58, + "learning_rate": 1.992853365399174e-06, + "loss": 1.0088, + "step": 3707 + }, + { + "epoch": 1.58, + "learning_rate": 1.992367869942781e-06, + "loss": 0.9897, + "step": 3708 + }, + { + "epoch": 1.58, + "learning_rate": 1.991882316671428e-06, + "loss": 0.8505, + "step": 3709 + }, + { + "epoch": 1.58, + "learning_rate": 1.9913967056421275e-06, + "loss": 1.0574, + "step": 3710 + }, + { + "epoch": 1.58, + "learning_rate": 1.9909110369119035e-06, + "loss": 1.1487, + "step": 3711 + }, + { + "epoch": 1.58, + "learning_rate": 1.9904253105377826e-06, + "loss": 0.7737, + "step": 3712 + }, + { + "epoch": 1.58, + "learning_rate": 1.989939526576801e-06, + "loss": 1.0541, + "step": 3713 + }, + { + "epoch": 1.58, + "learning_rate": 1.9894536850859995e-06, + "loss": 0.8254, + "step": 3714 + }, + { + "epoch": 1.58, + "learning_rate": 1.9889677861224274e-06, + "loss": 0.9963, + "step": 3715 + }, + { + "epoch": 1.58, + "learning_rate": 1.9884818297431403e-06, + "loss": 1.1164, + "step": 3716 + }, + { + "epoch": 1.58, + "learning_rate": 1.9879958160051994e-06, + "loss": 1.0414, + "step": 3717 + }, + { + "epoch": 1.59, + "learning_rate": 1.987509744965675e-06, + "loss": 1.1998, + "step": 3718 + }, + { + "epoch": 1.59, + "learning_rate": 1.987023616681641e-06, + "loss": 1.0703, + "step": 3719 + }, + { + "epoch": 1.59, + "learning_rate": 1.986537431210181e-06, + "loss": 1.0229, + "step": 3720 + }, + { + "epoch": 1.59, + "learning_rate": 1.986051188608383e-06, + "loss": 0.8075, + "step": 3721 + }, + { + "epoch": 1.59, + "learning_rate": 1.9855648889333437e-06, + "loss": 0.9134, + "step": 3722 + }, + { + "epoch": 1.59, + "learning_rate": 1.9850785322421645e-06, + "loss": 0.8964, + "step": 3723 + }, + { + "epoch": 1.59, + "learning_rate": 1.9845921185919553e-06, + "loss": 0.9517, + "step": 3724 + }, + { + "epoch": 1.59, + "learning_rate": 1.9841056480398317e-06, + "loss": 0.7829, + "step": 3725 + }, + { + "epoch": 1.59, + "learning_rate": 1.983619120642916e-06, + "loss": 1.0471, + "step": 3726 + }, + { + "epoch": 1.59, + "learning_rate": 1.9831325364583376e-06, + "loss": 1.0482, + "step": 3727 + }, + { + "epoch": 1.59, + "learning_rate": 1.9826458955432323e-06, + "loss": 1.0009, + "step": 3728 + }, + { + "epoch": 1.59, + "learning_rate": 1.9821591979547425e-06, + "loss": 1.0485, + "step": 3729 + }, + { + "epoch": 1.59, + "learning_rate": 1.9816724437500173e-06, + "loss": 1.0226, + "step": 3730 + }, + { + "epoch": 1.59, + "learning_rate": 1.9811856329862125e-06, + "loss": 0.587, + "step": 3731 + }, + { + "epoch": 1.59, + "learning_rate": 1.9806987657204905e-06, + "loss": 1.0098, + "step": 3732 + }, + { + "epoch": 1.59, + "learning_rate": 1.980211842010021e-06, + "loss": 1.0456, + "step": 3733 + }, + { + "epoch": 1.59, + "learning_rate": 1.9797248619119785e-06, + "loss": 1.191, + "step": 3734 + }, + { + "epoch": 1.59, + "learning_rate": 1.979237825483546e-06, + "loss": 0.6575, + "step": 3735 + }, + { + "epoch": 1.59, + "learning_rate": 1.9787507327819122e-06, + "loss": 1.0519, + "step": 3736 + }, + { + "epoch": 1.59, + "learning_rate": 1.9782635838642734e-06, + "loss": 0.9837, + "step": 3737 + }, + { + "epoch": 1.59, + "learning_rate": 1.977776378787831e-06, + "loss": 0.8503, + "step": 3738 + }, + { + "epoch": 1.59, + "learning_rate": 1.9772891176097933e-06, + "loss": 1.0276, + "step": 3739 + }, + { + "epoch": 1.59, + "learning_rate": 1.976801800387377e-06, + "loss": 1.2172, + "step": 3740 + }, + { + "epoch": 1.6, + "learning_rate": 1.9763144271778028e-06, + "loss": 1.3177, + "step": 3741 + }, + { + "epoch": 1.6, + "learning_rate": 1.9758269980383e-06, + "loss": 0.9368, + "step": 3742 + }, + { + "epoch": 1.6, + "learning_rate": 1.9753395130261026e-06, + "loss": 0.9919, + "step": 3743 + }, + { + "epoch": 1.6, + "learning_rate": 1.9748519721984537e-06, + "loss": 0.9293, + "step": 3744 + }, + { + "epoch": 1.6, + "learning_rate": 1.9743643756126002e-06, + "loss": 1.2667, + "step": 3745 + }, + { + "epoch": 1.6, + "learning_rate": 1.973876723325797e-06, + "loss": 1.046, + "step": 3746 + }, + { + "epoch": 1.6, + "learning_rate": 1.973389015395306e-06, + "loss": 0.7783, + "step": 3747 + }, + { + "epoch": 1.6, + "learning_rate": 1.972901251878394e-06, + "loss": 0.8489, + "step": 3748 + }, + { + "epoch": 1.6, + "learning_rate": 1.972413432832336e-06, + "loss": 0.8679, + "step": 3749 + }, + { + "epoch": 1.6, + "learning_rate": 1.971925558314413e-06, + "loss": 1.2325, + "step": 3750 + }, + { + "epoch": 1.6, + "learning_rate": 1.971437628381912e-06, + "loss": 1.0832, + "step": 3751 + }, + { + "epoch": 1.6, + "learning_rate": 1.970949643092126e-06, + "loss": 0.6132, + "step": 3752 + }, + { + "epoch": 1.6, + "learning_rate": 1.970461602502357e-06, + "loss": 1.0717, + "step": 3753 + }, + { + "epoch": 1.6, + "learning_rate": 1.969973506669911e-06, + "loss": 0.7751, + "step": 3754 + }, + { + "epoch": 1.6, + "learning_rate": 1.9694853556521013e-06, + "loss": 1.2649, + "step": 3755 + }, + { + "epoch": 1.6, + "learning_rate": 1.9689971495062477e-06, + "loss": 0.8671, + "step": 3756 + }, + { + "epoch": 1.6, + "learning_rate": 1.9685088882896767e-06, + "loss": 1.3585, + "step": 3757 + }, + { + "epoch": 1.6, + "learning_rate": 1.968020572059721e-06, + "loss": 1.021, + "step": 3758 + }, + { + "epoch": 1.6, + "learning_rate": 1.9675322008737193e-06, + "loss": 0.9693, + "step": 3759 + }, + { + "epoch": 1.6, + "learning_rate": 1.9670437747890177e-06, + "loss": 1.1635, + "step": 3760 + }, + { + "epoch": 1.6, + "learning_rate": 1.966555293862969e-06, + "loss": 1.2262, + "step": 3761 + }, + { + "epoch": 1.6, + "learning_rate": 1.9660667581529305e-06, + "loss": 0.8256, + "step": 3762 + }, + { + "epoch": 1.6, + "learning_rate": 1.965578167716268e-06, + "loss": 0.8971, + "step": 3763 + }, + { + "epoch": 1.61, + "learning_rate": 1.9650895226103524e-06, + "loss": 0.8774, + "step": 3764 + }, + { + "epoch": 1.61, + "learning_rate": 1.9646008228925614e-06, + "loss": 0.8061, + "step": 3765 + }, + { + "epoch": 1.61, + "learning_rate": 1.9641120686202802e-06, + "loss": 0.6023, + "step": 3766 + }, + { + "epoch": 1.61, + "learning_rate": 1.9636232598508987e-06, + "loss": 0.8475, + "step": 3767 + }, + { + "epoch": 1.61, + "learning_rate": 1.963134396641814e-06, + "loss": 1.3484, + "step": 3768 + }, + { + "epoch": 1.61, + "learning_rate": 1.9626454790504298e-06, + "loss": 1.1658, + "step": 3769 + }, + { + "epoch": 1.61, + "learning_rate": 1.9621565071341555e-06, + "loss": 0.872, + "step": 3770 + }, + { + "epoch": 1.61, + "learning_rate": 1.9616674809504074e-06, + "loss": 0.8731, + "step": 3771 + }, + { + "epoch": 1.61, + "learning_rate": 1.9611784005566086e-06, + "loss": 1.0056, + "step": 3772 + }, + { + "epoch": 1.61, + "learning_rate": 1.9606892660101876e-06, + "loss": 1.0212, + "step": 3773 + }, + { + "epoch": 1.61, + "learning_rate": 1.9602000773685797e-06, + "loss": 0.9768, + "step": 3774 + }, + { + "epoch": 1.61, + "learning_rate": 1.9597108346892267e-06, + "loss": 0.9167, + "step": 3775 + }, + { + "epoch": 1.61, + "learning_rate": 1.959221538029576e-06, + "loss": 0.8795, + "step": 3776 + }, + { + "epoch": 1.61, + "learning_rate": 1.9587321874470826e-06, + "loss": 0.924, + "step": 3777 + }, + { + "epoch": 1.61, + "learning_rate": 1.958242782999207e-06, + "loss": 0.9034, + "step": 3778 + }, + { + "epoch": 1.61, + "learning_rate": 1.9577533247434165e-06, + "loss": 1.0946, + "step": 3779 + }, + { + "epoch": 1.61, + "learning_rate": 1.957263812737184e-06, + "loss": 0.7527, + "step": 3780 + }, + { + "epoch": 1.61, + "learning_rate": 1.956774247037989e-06, + "loss": 0.9879, + "step": 3781 + }, + { + "epoch": 1.61, + "learning_rate": 1.9562846277033173e-06, + "loss": 1.1524, + "step": 3782 + }, + { + "epoch": 1.61, + "learning_rate": 1.955794954790662e-06, + "loss": 0.9572, + "step": 3783 + }, + { + "epoch": 1.61, + "learning_rate": 1.9553052283575212e-06, + "loss": 0.9542, + "step": 3784 + }, + { + "epoch": 1.61, + "learning_rate": 1.954815448461399e-06, + "loss": 0.8424, + "step": 3785 + }, + { + "epoch": 1.61, + "learning_rate": 1.954325615159807e-06, + "loss": 0.7492, + "step": 3786 + }, + { + "epoch": 1.62, + "learning_rate": 1.9538357285102635e-06, + "loss": 1.0836, + "step": 3787 + }, + { + "epoch": 1.62, + "learning_rate": 1.9533457885702904e-06, + "loss": 0.9569, + "step": 3788 + }, + { + "epoch": 1.62, + "learning_rate": 1.9528557953974184e-06, + "loss": 0.9461, + "step": 3789 + }, + { + "epoch": 1.62, + "learning_rate": 1.9523657490491837e-06, + "loss": 1.1165, + "step": 3790 + }, + { + "epoch": 1.62, + "learning_rate": 1.951875649583129e-06, + "loss": 0.9871, + "step": 3791 + }, + { + "epoch": 1.62, + "learning_rate": 1.9513854970568015e-06, + "loss": 0.9832, + "step": 3792 + }, + { + "epoch": 1.62, + "learning_rate": 1.9508952915277572e-06, + "loss": 1.0177, + "step": 3793 + }, + { + "epoch": 1.62, + "learning_rate": 1.950405033053557e-06, + "loss": 0.9314, + "step": 3794 + }, + { + "epoch": 1.62, + "learning_rate": 1.9499147216917685e-06, + "loss": 0.9784, + "step": 3795 + }, + { + "epoch": 1.62, + "learning_rate": 1.9494243574999647e-06, + "loss": 1.1013, + "step": 3796 + }, + { + "epoch": 1.62, + "learning_rate": 1.948933940535725e-06, + "loss": 1.0641, + "step": 3797 + }, + { + "epoch": 1.62, + "learning_rate": 1.9484434708566355e-06, + "loss": 0.968, + "step": 3798 + }, + { + "epoch": 1.62, + "learning_rate": 1.947952948520289e-06, + "loss": 0.659, + "step": 3799 + }, + { + "epoch": 1.62, + "learning_rate": 1.947462373584283e-06, + "loss": 0.7804, + "step": 3800 + }, + { + "epoch": 1.62, + "learning_rate": 1.9469717461062217e-06, + "loss": 0.9855, + "step": 3801 + }, + { + "epoch": 1.62, + "learning_rate": 1.9464810661437166e-06, + "loss": 0.5953, + "step": 3802 + }, + { + "epoch": 1.62, + "learning_rate": 1.9459903337543837e-06, + "loss": 1.0511, + "step": 3803 + }, + { + "epoch": 1.62, + "learning_rate": 1.945499548995846e-06, + "loss": 0.8757, + "step": 3804 + }, + { + "epoch": 1.62, + "learning_rate": 1.9450087119257324e-06, + "loss": 1.2438, + "step": 3805 + }, + { + "epoch": 1.62, + "learning_rate": 1.944517822601679e-06, + "loss": 0.6625, + "step": 3806 + }, + { + "epoch": 1.62, + "learning_rate": 1.944026881081327e-06, + "loss": 1.0422, + "step": 3807 + }, + { + "epoch": 1.62, + "learning_rate": 1.943535887422323e-06, + "loss": 0.9332, + "step": 3808 + }, + { + "epoch": 1.62, + "learning_rate": 1.9430448416823212e-06, + "loss": 1.0661, + "step": 3809 + }, + { + "epoch": 1.62, + "learning_rate": 1.942553743918981e-06, + "loss": 0.6279, + "step": 3810 + }, + { + "epoch": 1.63, + "learning_rate": 1.9420625941899684e-06, + "loss": 0.7642, + "step": 3811 + }, + { + "epoch": 1.63, + "learning_rate": 1.941571392552956e-06, + "loss": 1.1113, + "step": 3812 + }, + { + "epoch": 1.63, + "learning_rate": 1.9410801390656205e-06, + "loss": 1.2471, + "step": 3813 + }, + { + "epoch": 1.63, + "learning_rate": 1.9405888337856465e-06, + "loss": 0.8589, + "step": 3814 + }, + { + "epoch": 1.63, + "learning_rate": 1.940097476770725e-06, + "loss": 0.7441, + "step": 3815 + }, + { + "epoch": 1.63, + "learning_rate": 1.939606068078551e-06, + "loss": 1.0914, + "step": 3816 + }, + { + "epoch": 1.63, + "learning_rate": 1.9391146077668278e-06, + "loss": 0.782, + "step": 3817 + }, + { + "epoch": 1.63, + "learning_rate": 1.938623095893263e-06, + "loss": 0.8867, + "step": 3818 + }, + { + "epoch": 1.63, + "learning_rate": 1.9381315325155718e-06, + "loss": 1.4521, + "step": 3819 + }, + { + "epoch": 1.63, + "learning_rate": 1.9376399176914747e-06, + "loss": 0.8598, + "step": 3820 + }, + { + "epoch": 1.63, + "learning_rate": 1.937148251478698e-06, + "loss": 0.9866, + "step": 3821 + }, + { + "epoch": 1.63, + "learning_rate": 1.9366565339349734e-06, + "loss": 1.1058, + "step": 3822 + }, + { + "epoch": 1.63, + "learning_rate": 1.9361647651180406e-06, + "loss": 0.9413, + "step": 3823 + }, + { + "epoch": 1.63, + "learning_rate": 1.935672945085644e-06, + "loss": 0.7221, + "step": 3824 + }, + { + "epoch": 1.63, + "learning_rate": 1.9351810738955344e-06, + "loss": 0.9373, + "step": 3825 + }, + { + "epoch": 1.63, + "learning_rate": 1.9346891516054676e-06, + "loss": 1.0704, + "step": 3826 + }, + { + "epoch": 1.63, + "learning_rate": 1.9341971782732073e-06, + "loss": 0.9318, + "step": 3827 + }, + { + "epoch": 1.63, + "learning_rate": 1.9337051539565214e-06, + "loss": 0.6031, + "step": 3828 + }, + { + "epoch": 1.63, + "learning_rate": 1.933213078713185e-06, + "loss": 1.1402, + "step": 3829 + }, + { + "epoch": 1.63, + "learning_rate": 1.9327209526009787e-06, + "loss": 0.7805, + "step": 3830 + }, + { + "epoch": 1.63, + "learning_rate": 1.932228775677688e-06, + "loss": 1.1216, + "step": 3831 + }, + { + "epoch": 1.63, + "learning_rate": 1.931736548001107e-06, + "loss": 0.913, + "step": 3832 + }, + { + "epoch": 1.63, + "learning_rate": 1.931244269629033e-06, + "loss": 1.0468, + "step": 3833 + }, + { + "epoch": 1.64, + "learning_rate": 1.9307519406192712e-06, + "loss": 0.7141, + "step": 3834 + }, + { + "epoch": 1.64, + "learning_rate": 1.930259561029632e-06, + "loss": 1.009, + "step": 3835 + }, + { + "epoch": 1.64, + "learning_rate": 1.9297671309179314e-06, + "loss": 0.8915, + "step": 3836 + }, + { + "epoch": 1.64, + "learning_rate": 1.9292746503419913e-06, + "loss": 0.769, + "step": 3837 + }, + { + "epoch": 1.64, + "learning_rate": 1.928782119359641e-06, + "loss": 1.1328, + "step": 3838 + }, + { + "epoch": 1.64, + "learning_rate": 1.9282895380287133e-06, + "loss": 0.8981, + "step": 3839 + }, + { + "epoch": 1.64, + "learning_rate": 1.9277969064070493e-06, + "loss": 1.0296, + "step": 3840 + }, + { + "epoch": 1.64, + "learning_rate": 1.927304224552494e-06, + "loss": 0.5588, + "step": 3841 + }, + { + "epoch": 1.64, + "learning_rate": 1.9268114925229002e-06, + "loss": 0.8919, + "step": 3842 + }, + { + "epoch": 1.64, + "learning_rate": 1.926318710376125e-06, + "loss": 0.788, + "step": 3843 + }, + { + "epoch": 1.64, + "learning_rate": 1.9258258781700325e-06, + "loss": 0.9891, + "step": 3844 + }, + { + "epoch": 1.64, + "learning_rate": 1.9253329959624915e-06, + "loss": 1.0116, + "step": 3845 + }, + { + "epoch": 1.64, + "learning_rate": 1.924840063811378e-06, + "loss": 1.1816, + "step": 3846 + }, + { + "epoch": 1.64, + "learning_rate": 1.924347081774572e-06, + "loss": 0.9898, + "step": 3847 + }, + { + "epoch": 1.64, + "learning_rate": 1.923854049909963e-06, + "loss": 0.9966, + "step": 3848 + }, + { + "epoch": 1.64, + "learning_rate": 1.923360968275441e-06, + "loss": 0.9681, + "step": 3849 + }, + { + "epoch": 1.64, + "learning_rate": 1.922867836928907e-06, + "loss": 1.0951, + "step": 3850 + }, + { + "epoch": 1.64, + "learning_rate": 1.9223746559282648e-06, + "loss": 0.7897, + "step": 3851 + }, + { + "epoch": 1.64, + "learning_rate": 1.921881425331425e-06, + "loss": 0.65, + "step": 3852 + }, + { + "epoch": 1.64, + "learning_rate": 1.921388145196303e-06, + "loss": 0.8379, + "step": 3853 + }, + { + "epoch": 1.64, + "learning_rate": 1.920894815580822e-06, + "loss": 0.7449, + "step": 3854 + }, + { + "epoch": 1.64, + "learning_rate": 1.9204014365429096e-06, + "loss": 1.066, + "step": 3855 + }, + { + "epoch": 1.64, + "learning_rate": 1.9199080081404993e-06, + "loss": 1.1991, + "step": 3856 + }, + { + "epoch": 1.65, + "learning_rate": 1.9194145304315304e-06, + "loss": 0.9625, + "step": 3857 + }, + { + "epoch": 1.65, + "learning_rate": 1.918921003473949e-06, + "loss": 0.9177, + "step": 3858 + }, + { + "epoch": 1.65, + "learning_rate": 1.9184274273257055e-06, + "loss": 0.5295, + "step": 3859 + }, + { + "epoch": 1.65, + "learning_rate": 1.9179338020447567e-06, + "loss": 1.276, + "step": 3860 + }, + { + "epoch": 1.65, + "learning_rate": 1.917440127689065e-06, + "loss": 0.6612, + "step": 3861 + }, + { + "epoch": 1.65, + "learning_rate": 1.9169464043166e-06, + "loss": 0.9496, + "step": 3862 + }, + { + "epoch": 1.65, + "learning_rate": 1.9164526319853344e-06, + "loss": 0.9059, + "step": 3863 + }, + { + "epoch": 1.65, + "learning_rate": 1.915958810753249e-06, + "loss": 0.8796, + "step": 3864 + }, + { + "epoch": 1.65, + "learning_rate": 1.9154649406783285e-06, + "loss": 0.9022, + "step": 3865 + }, + { + "epoch": 1.65, + "learning_rate": 1.914971021818565e-06, + "loss": 1.0116, + "step": 3866 + }, + { + "epoch": 1.65, + "learning_rate": 1.914477054231956e-06, + "loss": 0.9321, + "step": 3867 + }, + { + "epoch": 1.65, + "learning_rate": 1.9139830379765028e-06, + "loss": 1.1785, + "step": 3868 + }, + { + "epoch": 1.65, + "learning_rate": 1.9134889731102156e-06, + "loss": 1.0388, + "step": 3869 + }, + { + "epoch": 1.65, + "learning_rate": 1.9129948596911076e-06, + "loss": 1.0015, + "step": 3870 + }, + { + "epoch": 1.65, + "learning_rate": 1.912500697777199e-06, + "loss": 0.8871, + "step": 3871 + }, + { + "epoch": 1.65, + "learning_rate": 1.9120064874265154e-06, + "loss": 0.9375, + "step": 3872 + }, + { + "epoch": 1.65, + "learning_rate": 1.911512228697088e-06, + "loss": 1.004, + "step": 3873 + }, + { + "epoch": 1.65, + "learning_rate": 1.9110179216469537e-06, + "loss": 0.7029, + "step": 3874 + }, + { + "epoch": 1.65, + "learning_rate": 1.9105235663341557e-06, + "loss": 1.3208, + "step": 3875 + }, + { + "epoch": 1.65, + "learning_rate": 1.910029162816742e-06, + "loss": 0.495, + "step": 3876 + }, + { + "epoch": 1.65, + "learning_rate": 1.9095347111527665e-06, + "loss": 1.1176, + "step": 3877 + }, + { + "epoch": 1.65, + "learning_rate": 1.909040211400289e-06, + "loss": 1.2138, + "step": 3878 + }, + { + "epoch": 1.65, + "learning_rate": 1.9085456636173745e-06, + "loss": 1.054, + "step": 3879 + }, + { + "epoch": 1.66, + "learning_rate": 1.908051067862094e-06, + "loss": 1.2954, + "step": 3880 + }, + { + "epoch": 1.66, + "learning_rate": 1.9075564241925243e-06, + "loss": 1.0459, + "step": 3881 + }, + { + "epoch": 1.66, + "learning_rate": 1.907061732666748e-06, + "loss": 1.211, + "step": 3882 + }, + { + "epoch": 1.66, + "learning_rate": 1.9065669933428517e-06, + "loss": 1.4657, + "step": 3883 + }, + { + "epoch": 1.66, + "learning_rate": 1.9060722062789299e-06, + "loss": 0.7121, + "step": 3884 + }, + { + "epoch": 1.66, + "learning_rate": 1.9055773715330814e-06, + "loss": 0.948, + "step": 3885 + }, + { + "epoch": 1.66, + "learning_rate": 1.9050824891634103e-06, + "loss": 1.2614, + "step": 3886 + }, + { + "epoch": 1.66, + "learning_rate": 1.9045875592280274e-06, + "loss": 0.8514, + "step": 3887 + }, + { + "epoch": 1.66, + "learning_rate": 1.9040925817850488e-06, + "loss": 0.9778, + "step": 3888 + }, + { + "epoch": 1.66, + "learning_rate": 1.9035975568925952e-06, + "loss": 1.3539, + "step": 3889 + }, + { + "epoch": 1.66, + "learning_rate": 1.903102484608793e-06, + "loss": 1.2406, + "step": 3890 + }, + { + "epoch": 1.66, + "learning_rate": 1.902607364991776e-06, + "loss": 1.0692, + "step": 3891 + }, + { + "epoch": 1.66, + "learning_rate": 1.902112198099682e-06, + "loss": 0.7777, + "step": 3892 + }, + { + "epoch": 1.66, + "learning_rate": 1.9016169839906544e-06, + "loss": 0.7751, + "step": 3893 + }, + { + "epoch": 1.66, + "learning_rate": 1.9011217227228417e-06, + "loss": 1.0149, + "step": 3894 + }, + { + "epoch": 1.66, + "learning_rate": 1.9006264143543996e-06, + "loss": 1.162, + "step": 3895 + }, + { + "epoch": 1.66, + "learning_rate": 1.9001310589434884e-06, + "loss": 0.7233, + "step": 3896 + }, + { + "epoch": 1.66, + "learning_rate": 1.8996356565482734e-06, + "loss": 0.7783, + "step": 3897 + }, + { + "epoch": 1.66, + "learning_rate": 1.8991402072269252e-06, + "loss": 0.8931, + "step": 3898 + }, + { + "epoch": 1.66, + "learning_rate": 1.898644711037622e-06, + "loss": 0.7538, + "step": 3899 + }, + { + "epoch": 1.66, + "learning_rate": 1.8981491680385454e-06, + "loss": 0.8271, + "step": 3900 + }, + { + "epoch": 1.66, + "learning_rate": 1.8976535782878828e-06, + "loss": 1.0168, + "step": 3901 + }, + { + "epoch": 1.66, + "learning_rate": 1.8971579418438282e-06, + "loss": 0.9686, + "step": 3902 + }, + { + "epoch": 1.67, + "learning_rate": 1.89666225876458e-06, + "loss": 0.9416, + "step": 3903 + }, + { + "epoch": 1.67, + "learning_rate": 1.8961665291083427e-06, + "loss": 1.2917, + "step": 3904 + }, + { + "epoch": 1.67, + "learning_rate": 1.895670752933326e-06, + "loss": 0.7497, + "step": 3905 + }, + { + "epoch": 1.67, + "learning_rate": 1.8951749302977448e-06, + "loss": 0.9727, + "step": 3906 + }, + { + "epoch": 1.67, + "learning_rate": 1.8946790612598195e-06, + "loss": 1.1413, + "step": 3907 + }, + { + "epoch": 1.67, + "learning_rate": 1.8941831458777768e-06, + "loss": 1.056, + "step": 3908 + }, + { + "epoch": 1.67, + "learning_rate": 1.8936871842098476e-06, + "loss": 0.9438, + "step": 3909 + }, + { + "epoch": 1.67, + "learning_rate": 1.8931911763142692e-06, + "loss": 0.9751, + "step": 3910 + }, + { + "epoch": 1.67, + "learning_rate": 1.8926951222492843e-06, + "loss": 1.0148, + "step": 3911 + }, + { + "epoch": 1.67, + "learning_rate": 1.89219902207314e-06, + "loss": 0.7107, + "step": 3912 + }, + { + "epoch": 1.67, + "learning_rate": 1.8917028758440901e-06, + "loss": 0.8653, + "step": 3913 + }, + { + "epoch": 1.67, + "learning_rate": 1.891206683620393e-06, + "loss": 0.8249, + "step": 3914 + }, + { + "epoch": 1.67, + "learning_rate": 1.8907104454603127e-06, + "loss": 0.8138, + "step": 3915 + }, + { + "epoch": 1.67, + "learning_rate": 1.8902141614221184e-06, + "loss": 0.8261, + "step": 3916 + }, + { + "epoch": 1.67, + "learning_rate": 1.8897178315640855e-06, + "loss": 1.1043, + "step": 3917 + }, + { + "epoch": 1.67, + "learning_rate": 1.8892214559444937e-06, + "loss": 0.8076, + "step": 3918 + }, + { + "epoch": 1.67, + "learning_rate": 1.8887250346216286e-06, + "loss": 1.2215, + "step": 3919 + }, + { + "epoch": 1.67, + "learning_rate": 1.888228567653781e-06, + "loss": 0.7522, + "step": 3920 + }, + { + "epoch": 1.67, + "learning_rate": 1.887732055099248e-06, + "loss": 0.8633, + "step": 3921 + }, + { + "epoch": 1.67, + "learning_rate": 1.8872354970163304e-06, + "loss": 0.9708, + "step": 3922 + }, + { + "epoch": 1.67, + "learning_rate": 1.8867388934633353e-06, + "loss": 1.1559, + "step": 3923 + }, + { + "epoch": 1.67, + "learning_rate": 1.886242244498575e-06, + "loss": 0.7983, + "step": 3924 + }, + { + "epoch": 1.67, + "learning_rate": 1.8857455501803677e-06, + "loss": 0.7618, + "step": 3925 + }, + { + "epoch": 1.68, + "learning_rate": 1.8852488105670358e-06, + "loss": 1.0308, + "step": 3926 + }, + { + "epoch": 1.68, + "learning_rate": 1.8847520257169076e-06, + "loss": 0.4644, + "step": 3927 + }, + { + "epoch": 1.68, + "learning_rate": 1.8842551956883173e-06, + "loss": 0.9558, + "step": 3928 + }, + { + "epoch": 1.68, + "learning_rate": 1.8837583205396035e-06, + "loss": 1.1041, + "step": 3929 + }, + { + "epoch": 1.68, + "learning_rate": 1.8832614003291102e-06, + "loss": 1.1363, + "step": 3930 + }, + { + "epoch": 1.68, + "learning_rate": 1.8827644351151868e-06, + "loss": 0.8301, + "step": 3931 + }, + { + "epoch": 1.68, + "learning_rate": 1.8822674249561881e-06, + "loss": 1.1744, + "step": 3932 + }, + { + "epoch": 1.68, + "learning_rate": 1.8817703699104754e-06, + "loss": 0.9769, + "step": 3933 + }, + { + "epoch": 1.68, + "learning_rate": 1.8812732700364122e-06, + "loss": 0.9638, + "step": 3934 + }, + { + "epoch": 1.68, + "learning_rate": 1.8807761253923706e-06, + "loss": 0.9527, + "step": 3935 + }, + { + "epoch": 1.68, + "learning_rate": 1.880278936036725e-06, + "loss": 1.2264, + "step": 3936 + }, + { + "epoch": 1.68, + "learning_rate": 1.879781702027858e-06, + "loss": 1.0725, + "step": 3937 + }, + { + "epoch": 1.68, + "learning_rate": 1.879284423424155e-06, + "loss": 0.8487, + "step": 3938 + }, + { + "epoch": 1.68, + "learning_rate": 1.878787100284008e-06, + "loss": 0.7324, + "step": 3939 + }, + { + "epoch": 1.68, + "learning_rate": 1.8782897326658137e-06, + "loss": 1.0692, + "step": 3940 + }, + { + "epoch": 1.68, + "learning_rate": 1.877792320627974e-06, + "loss": 0.6354, + "step": 3941 + }, + { + "epoch": 1.68, + "learning_rate": 1.877294864228896e-06, + "loss": 0.9755, + "step": 3942 + }, + { + "epoch": 1.68, + "learning_rate": 1.8767973635269932e-06, + "loss": 0.6466, + "step": 3943 + }, + { + "epoch": 1.68, + "learning_rate": 1.8762998185806823e-06, + "loss": 0.9536, + "step": 3944 + }, + { + "epoch": 1.68, + "learning_rate": 1.8758022294483862e-06, + "loss": 1.2702, + "step": 3945 + }, + { + "epoch": 1.68, + "learning_rate": 1.8753045961885328e-06, + "loss": 1.0724, + "step": 3946 + }, + { + "epoch": 1.68, + "learning_rate": 1.8748069188595563e-06, + "loss": 1.1068, + "step": 3947 + }, + { + "epoch": 1.68, + "learning_rate": 1.8743091975198942e-06, + "loss": 0.91, + "step": 3948 + }, + { + "epoch": 1.68, + "learning_rate": 1.8738114322279905e-06, + "loss": 1.1529, + "step": 3949 + }, + { + "epoch": 1.69, + "learning_rate": 1.8733136230422935e-06, + "loss": 1.033, + "step": 3950 + }, + { + "epoch": 1.69, + "learning_rate": 1.872815770021258e-06, + "loss": 0.9835, + "step": 3951 + }, + { + "epoch": 1.69, + "learning_rate": 1.872317873223342e-06, + "loss": 1.1287, + "step": 3952 + }, + { + "epoch": 1.69, + "learning_rate": 1.87181993270701e-06, + "loss": 0.8721, + "step": 3953 + }, + { + "epoch": 1.69, + "learning_rate": 1.8713219485307318e-06, + "loss": 1.0096, + "step": 3954 + }, + { + "epoch": 1.69, + "learning_rate": 1.8708239207529813e-06, + "loss": 0.7555, + "step": 3955 + }, + { + "epoch": 1.69, + "learning_rate": 1.8703258494322383e-06, + "loss": 0.8461, + "step": 3956 + }, + { + "epoch": 1.69, + "learning_rate": 1.869827734626987e-06, + "loss": 0.8503, + "step": 3957 + }, + { + "epoch": 1.69, + "learning_rate": 1.8693295763957183e-06, + "loss": 0.8479, + "step": 3958 + }, + { + "epoch": 1.69, + "learning_rate": 1.868831374796926e-06, + "loss": 0.8383, + "step": 3959 + }, + { + "epoch": 1.69, + "learning_rate": 1.8683331298891105e-06, + "loss": 0.8392, + "step": 3960 + }, + { + "epoch": 1.69, + "learning_rate": 1.8678348417307764e-06, + "loss": 1.1184, + "step": 3961 + }, + { + "epoch": 1.69, + "learning_rate": 1.8673365103804349e-06, + "loss": 1.0383, + "step": 3962 + }, + { + "epoch": 1.69, + "learning_rate": 1.8668381358966003e-06, + "loss": 0.9835, + "step": 3963 + }, + { + "epoch": 1.69, + "learning_rate": 1.866339718337793e-06, + "loss": 1.0964, + "step": 3964 + }, + { + "epoch": 1.69, + "learning_rate": 1.865841257762538e-06, + "loss": 1.057, + "step": 3965 + }, + { + "epoch": 1.69, + "learning_rate": 1.865342754229367e-06, + "loss": 1.0893, + "step": 3966 + }, + { + "epoch": 1.69, + "learning_rate": 1.8648442077968141e-06, + "loss": 1.1496, + "step": 3967 + }, + { + "epoch": 1.69, + "learning_rate": 1.8643456185234204e-06, + "loss": 0.7905, + "step": 3968 + }, + { + "epoch": 1.69, + "learning_rate": 1.863846986467731e-06, + "loss": 1.6522, + "step": 3969 + }, + { + "epoch": 1.69, + "learning_rate": 1.8633483116882965e-06, + "loss": 0.9443, + "step": 3970 + }, + { + "epoch": 1.69, + "learning_rate": 1.8628495942436733e-06, + "loss": 0.8659, + "step": 3971 + }, + { + "epoch": 1.69, + "learning_rate": 1.86235083419242e-06, + "loss": 0.7819, + "step": 3972 + }, + { + "epoch": 1.7, + "learning_rate": 1.861852031593104e-06, + "loss": 1.2499, + "step": 3973 + }, + { + "epoch": 1.7, + "learning_rate": 1.8613531865042954e-06, + "loss": 0.6485, + "step": 3974 + }, + { + "epoch": 1.7, + "learning_rate": 1.860854298984569e-06, + "loss": 1.0466, + "step": 3975 + }, + { + "epoch": 1.7, + "learning_rate": 1.860355369092506e-06, + "loss": 0.5067, + "step": 3976 + }, + { + "epoch": 1.7, + "learning_rate": 1.8598563968866916e-06, + "loss": 0.965, + "step": 3977 + }, + { + "epoch": 1.7, + "learning_rate": 1.8593573824257166e-06, + "loss": 0.8946, + "step": 3978 + }, + { + "epoch": 1.7, + "learning_rate": 1.8588583257681757e-06, + "loss": 0.9367, + "step": 3979 + }, + { + "epoch": 1.7, + "learning_rate": 1.8583592269726701e-06, + "loss": 0.7022, + "step": 3980 + }, + { + "epoch": 1.7, + "learning_rate": 1.8578600860978053e-06, + "loss": 0.8725, + "step": 3981 + }, + { + "epoch": 1.7, + "learning_rate": 1.8573609032021905e-06, + "loss": 1.0167, + "step": 3982 + }, + { + "epoch": 1.7, + "learning_rate": 1.8568616783444411e-06, + "loss": 1.0937, + "step": 3983 + }, + { + "epoch": 1.7, + "learning_rate": 1.856362411583178e-06, + "loss": 1.0278, + "step": 3984 + }, + { + "epoch": 1.7, + "learning_rate": 1.855863102977026e-06, + "loss": 0.9047, + "step": 3985 + }, + { + "epoch": 1.7, + "learning_rate": 1.8553637525846146e-06, + "loss": 1.1005, + "step": 3986 + }, + { + "epoch": 1.7, + "learning_rate": 1.8548643604645788e-06, + "loss": 1.5267, + "step": 3987 + }, + { + "epoch": 1.7, + "learning_rate": 1.8543649266755586e-06, + "loss": 0.8525, + "step": 3988 + }, + { + "epoch": 1.7, + "learning_rate": 1.8538654512761985e-06, + "loss": 0.9413, + "step": 3989 + }, + { + "epoch": 1.7, + "learning_rate": 1.8533659343251484e-06, + "loss": 1.1188, + "step": 3990 + }, + { + "epoch": 1.7, + "learning_rate": 1.852866375881062e-06, + "loss": 1.0688, + "step": 3991 + }, + { + "epoch": 1.7, + "learning_rate": 1.8523667760025993e-06, + "loss": 0.7245, + "step": 3992 + }, + { + "epoch": 1.7, + "learning_rate": 1.8518671347484241e-06, + "loss": 0.7457, + "step": 3993 + }, + { + "epoch": 1.7, + "learning_rate": 1.851367452177205e-06, + "loss": 0.9309, + "step": 3994 + }, + { + "epoch": 1.7, + "learning_rate": 1.850867728347617e-06, + "loss": 0.958, + "step": 3995 + }, + { + "epoch": 1.71, + "learning_rate": 1.8503679633183383e-06, + "loss": 0.399, + "step": 3996 + }, + { + "epoch": 1.71, + "learning_rate": 1.849868157148052e-06, + "loss": 1.1309, + "step": 3997 + }, + { + "epoch": 1.71, + "learning_rate": 1.849368309895447e-06, + "loss": 0.9287, + "step": 3998 + }, + { + "epoch": 1.71, + "learning_rate": 1.8488684216192163e-06, + "loss": 1.1171, + "step": 3999 + }, + { + "epoch": 1.71, + "learning_rate": 1.8483684923780575e-06, + "loss": 0.9323, + "step": 4000 + }, + { + "epoch": 1.71, + "learning_rate": 1.8478685222306743e-06, + "loss": 0.6778, + "step": 4001 + }, + { + "epoch": 1.71, + "learning_rate": 1.8473685112357736e-06, + "loss": 1.1661, + "step": 4002 + }, + { + "epoch": 1.71, + "learning_rate": 1.8468684594520684e-06, + "loss": 0.9382, + "step": 4003 + }, + { + "epoch": 1.71, + "learning_rate": 1.8463683669382758e-06, + "loss": 0.9245, + "step": 4004 + }, + { + "epoch": 1.71, + "learning_rate": 1.8458682337531174e-06, + "loss": 0.7419, + "step": 4005 + }, + { + "epoch": 1.71, + "learning_rate": 1.8453680599553202e-06, + "loss": 1.0524, + "step": 4006 + }, + { + "epoch": 1.71, + "learning_rate": 1.8448678456036163e-06, + "loss": 1.1127, + "step": 4007 + }, + { + "epoch": 1.71, + "learning_rate": 1.844367590756741e-06, + "loss": 0.9596, + "step": 4008 + }, + { + "epoch": 1.71, + "learning_rate": 1.8438672954734358e-06, + "loss": 0.823, + "step": 4009 + }, + { + "epoch": 1.71, + "learning_rate": 1.843366959812447e-06, + "loss": 1.0975, + "step": 4010 + }, + { + "epoch": 1.71, + "learning_rate": 1.8428665838325247e-06, + "loss": 1.0843, + "step": 4011 + }, + { + "epoch": 1.71, + "learning_rate": 1.8423661675924245e-06, + "loss": 0.9589, + "step": 4012 + }, + { + "epoch": 1.71, + "learning_rate": 1.8418657111509056e-06, + "loss": 1.0023, + "step": 4013 + }, + { + "epoch": 1.71, + "learning_rate": 1.8413652145667335e-06, + "loss": 0.7686, + "step": 4014 + }, + { + "epoch": 1.71, + "learning_rate": 1.8408646778986777e-06, + "loss": 1.0191, + "step": 4015 + }, + { + "epoch": 1.71, + "learning_rate": 1.8403641012055121e-06, + "loss": 0.6547, + "step": 4016 + }, + { + "epoch": 1.71, + "learning_rate": 1.839863484546015e-06, + "loss": 1.0418, + "step": 4017 + }, + { + "epoch": 1.71, + "learning_rate": 1.8393628279789713e-06, + "loss": 0.8445, + "step": 4018 + }, + { + "epoch": 1.72, + "learning_rate": 1.8388621315631683e-06, + "loss": 0.8321, + "step": 4019 + }, + { + "epoch": 1.72, + "learning_rate": 1.8383613953573989e-06, + "loss": 0.9842, + "step": 4020 + }, + { + "epoch": 1.72, + "learning_rate": 1.8378606194204608e-06, + "loss": 1.0719, + "step": 4021 + }, + { + "epoch": 1.72, + "learning_rate": 1.8373598038111568e-06, + "loss": 0.8317, + "step": 4022 + }, + { + "epoch": 1.72, + "learning_rate": 1.8368589485882929e-06, + "loss": 0.9443, + "step": 4023 + }, + { + "epoch": 1.72, + "learning_rate": 1.836358053810681e-06, + "loss": 0.8076, + "step": 4024 + }, + { + "epoch": 1.72, + "learning_rate": 1.835857119537138e-06, + "loss": 1.0995, + "step": 4025 + }, + { + "epoch": 1.72, + "learning_rate": 1.8353561458264838e-06, + "loss": 0.968, + "step": 4026 + }, + { + "epoch": 1.72, + "learning_rate": 1.8348551327375445e-06, + "loss": 0.9052, + "step": 4027 + }, + { + "epoch": 1.72, + "learning_rate": 1.8343540803291494e-06, + "loss": 1.0964, + "step": 4028 + }, + { + "epoch": 1.72, + "learning_rate": 1.8338529886601343e-06, + "loss": 1.1334, + "step": 4029 + }, + { + "epoch": 1.72, + "learning_rate": 1.833351857789338e-06, + "loss": 0.921, + "step": 4030 + }, + { + "epoch": 1.72, + "learning_rate": 1.8328506877756046e-06, + "loss": 0.8256, + "step": 4031 + }, + { + "epoch": 1.72, + "learning_rate": 1.8323494786777823e-06, + "loss": 1.0398, + "step": 4032 + }, + { + "epoch": 1.72, + "learning_rate": 1.8318482305547242e-06, + "loss": 1.0878, + "step": 4033 + }, + { + "epoch": 1.72, + "learning_rate": 1.8313469434652886e-06, + "loss": 0.9127, + "step": 4034 + }, + { + "epoch": 1.72, + "learning_rate": 1.8308456174683367e-06, + "loss": 0.7472, + "step": 4035 + }, + { + "epoch": 1.72, + "learning_rate": 1.8303442526227366e-06, + "loss": 0.3431, + "step": 4036 + }, + { + "epoch": 1.72, + "learning_rate": 1.8298428489873586e-06, + "loss": 0.8434, + "step": 4037 + }, + { + "epoch": 1.72, + "learning_rate": 1.8293414066210796e-06, + "loss": 1.1774, + "step": 4038 + }, + { + "epoch": 1.72, + "learning_rate": 1.8288399255827793e-06, + "loss": 0.9821, + "step": 4039 + }, + { + "epoch": 1.72, + "learning_rate": 1.8283384059313434e-06, + "loss": 1.1427, + "step": 4040 + }, + { + "epoch": 1.72, + "learning_rate": 1.8278368477256612e-06, + "loss": 1.3832, + "step": 4041 + }, + { + "epoch": 1.73, + "learning_rate": 1.827335251024627e-06, + "loss": 1.0508, + "step": 4042 + }, + { + "epoch": 1.73, + "learning_rate": 1.826833615887139e-06, + "loss": 1.1298, + "step": 4043 + }, + { + "epoch": 1.73, + "learning_rate": 1.8263319423721008e-06, + "loss": 0.9539, + "step": 4044 + }, + { + "epoch": 1.73, + "learning_rate": 1.8258302305384196e-06, + "loss": 1.3553, + "step": 4045 + }, + { + "epoch": 1.73, + "learning_rate": 1.825328480445008e-06, + "loss": 0.7547, + "step": 4046 + }, + { + "epoch": 1.73, + "learning_rate": 1.8248266921507822e-06, + "loss": 1.3125, + "step": 4047 + }, + { + "epoch": 1.73, + "learning_rate": 1.8243248657146639e-06, + "loss": 0.8311, + "step": 4048 + }, + { + "epoch": 1.73, + "learning_rate": 1.8238230011955785e-06, + "loss": 0.9792, + "step": 4049 + }, + { + "epoch": 1.73, + "learning_rate": 1.8233210986524551e-06, + "loss": 0.6943, + "step": 4050 + }, + { + "epoch": 1.73, + "learning_rate": 1.8228191581442302e-06, + "loss": 1.2449, + "step": 4051 + }, + { + "epoch": 1.73, + "learning_rate": 1.8223171797298413e-06, + "loss": 1.0147, + "step": 4052 + }, + { + "epoch": 1.73, + "learning_rate": 1.8218151634682323e-06, + "loss": 0.8861, + "step": 4053 + }, + { + "epoch": 1.73, + "learning_rate": 1.8213131094183509e-06, + "loss": 0.6279, + "step": 4054 + }, + { + "epoch": 1.73, + "learning_rate": 1.8208110176391497e-06, + "loss": 1.0425, + "step": 4055 + }, + { + "epoch": 1.73, + "learning_rate": 1.8203088881895855e-06, + "loss": 0.9051, + "step": 4056 + }, + { + "epoch": 1.73, + "learning_rate": 1.819806721128619e-06, + "loss": 1.0019, + "step": 4057 + }, + { + "epoch": 1.73, + "learning_rate": 1.819304516515216e-06, + "loss": 0.9829, + "step": 4058 + }, + { + "epoch": 1.73, + "learning_rate": 1.8188022744083472e-06, + "loss": 1.0986, + "step": 4059 + }, + { + "epoch": 1.73, + "learning_rate": 1.8182999948669863e-06, + "loss": 0.9843, + "step": 4060 + }, + { + "epoch": 1.73, + "eval_loss": 1.2551723718643188, + "eval_runtime": 32.1869, + "eval_samples_per_second": 38.68, + "eval_steps_per_second": 19.356, + "step": 4060 + }, + { + "epoch": 1.73, + "learning_rate": 1.8177976779501125e-06, + "loss": 1.0784, + "step": 4061 + }, + { + "epoch": 1.73, + "learning_rate": 1.8172953237167085e-06, + "loss": 0.847, + "step": 4062 + }, + { + "epoch": 1.73, + "learning_rate": 1.8167929322257623e-06, + "loss": 0.9712, + "step": 4063 + }, + { + "epoch": 1.73, + "learning_rate": 1.8162905035362657e-06, + "loss": 1.0022, + "step": 4064 + }, + { + "epoch": 1.74, + "learning_rate": 1.8157880377072153e-06, + "loss": 0.9416, + "step": 4065 + }, + { + "epoch": 1.74, + "learning_rate": 1.8152855347976114e-06, + "loss": 0.8662, + "step": 4066 + }, + { + "epoch": 1.74, + "learning_rate": 1.8147829948664591e-06, + "loss": 0.8409, + "step": 4067 + }, + { + "epoch": 1.74, + "learning_rate": 1.814280417972768e-06, + "loss": 1.0053, + "step": 4068 + }, + { + "epoch": 1.74, + "learning_rate": 1.8137778041755515e-06, + "loss": 1.181, + "step": 4069 + }, + { + "epoch": 1.74, + "learning_rate": 1.813275153533828e-06, + "loss": 0.9689, + "step": 4070 + }, + { + "epoch": 1.74, + "learning_rate": 1.8127724661066195e-06, + "loss": 0.8559, + "step": 4071 + }, + { + "epoch": 1.74, + "learning_rate": 1.812269741952953e-06, + "loss": 1.7472, + "step": 4072 + }, + { + "epoch": 1.74, + "learning_rate": 1.81176698113186e-06, + "loss": 0.7472, + "step": 4073 + }, + { + "epoch": 1.74, + "learning_rate": 1.811264183702375e-06, + "loss": 0.5997, + "step": 4074 + }, + { + "epoch": 1.74, + "learning_rate": 1.8107613497235378e-06, + "loss": 1.0756, + "step": 4075 + }, + { + "epoch": 1.74, + "learning_rate": 1.8102584792543925e-06, + "loss": 0.695, + "step": 4076 + }, + { + "epoch": 1.74, + "learning_rate": 1.8097555723539876e-06, + "loss": 0.9222, + "step": 4077 + }, + { + "epoch": 1.74, + "learning_rate": 1.8092526290813749e-06, + "loss": 0.921, + "step": 4078 + }, + { + "epoch": 1.74, + "learning_rate": 1.8087496494956114e-06, + "loss": 0.6828, + "step": 4079 + }, + { + "epoch": 1.74, + "learning_rate": 1.808246633655758e-06, + "loss": 0.9029, + "step": 4080 + }, + { + "epoch": 1.74, + "learning_rate": 1.8077435816208805e-06, + "loss": 1.1254, + "step": 4081 + }, + { + "epoch": 1.74, + "learning_rate": 1.807240493450048e-06, + "loss": 0.702, + "step": 4082 + }, + { + "epoch": 1.74, + "learning_rate": 1.8067373692023345e-06, + "loss": 0.7908, + "step": 4083 + }, + { + "epoch": 1.74, + "learning_rate": 1.8062342089368176e-06, + "loss": 0.8894, + "step": 4084 + }, + { + "epoch": 1.74, + "learning_rate": 1.8057310127125796e-06, + "loss": 0.9233, + "step": 4085 + }, + { + "epoch": 1.74, + "learning_rate": 1.8052277805887075e-06, + "loss": 1.4311, + "step": 4086 + }, + { + "epoch": 1.74, + "learning_rate": 1.8047245126242913e-06, + "loss": 0.9002, + "step": 4087 + }, + { + "epoch": 1.74, + "learning_rate": 1.8042212088784264e-06, + "loss": 0.8057, + "step": 4088 + }, + { + "epoch": 1.75, + "learning_rate": 1.8037178694102114e-06, + "loss": 1.2138, + "step": 4089 + }, + { + "epoch": 1.75, + "learning_rate": 1.80321449427875e-06, + "loss": 1.0924, + "step": 4090 + }, + { + "epoch": 1.75, + "learning_rate": 1.8027110835431493e-06, + "loss": 0.7547, + "step": 4091 + }, + { + "epoch": 1.75, + "learning_rate": 1.8022076372625215e-06, + "loss": 0.9919, + "step": 4092 + }, + { + "epoch": 1.75, + "learning_rate": 1.8017041554959818e-06, + "loss": 1.0311, + "step": 4093 + }, + { + "epoch": 1.75, + "learning_rate": 1.8012006383026502e-06, + "loss": 0.8519, + "step": 4094 + }, + { + "epoch": 1.75, + "learning_rate": 1.8006970857416513e-06, + "loss": 0.8682, + "step": 4095 + }, + { + "epoch": 1.75, + "learning_rate": 1.8001934978721131e-06, + "loss": 0.9108, + "step": 4096 + }, + { + "epoch": 1.75, + "learning_rate": 1.799689874753168e-06, + "loss": 1.0693, + "step": 4097 + }, + { + "epoch": 1.75, + "learning_rate": 1.7991862164439525e-06, + "loss": 0.8723, + "step": 4098 + }, + { + "epoch": 1.75, + "learning_rate": 1.7986825230036078e-06, + "loss": 0.9631, + "step": 4099 + }, + { + "epoch": 1.75, + "learning_rate": 1.7981787944912778e-06, + "loss": 1.0018, + "step": 4100 + }, + { + "epoch": 1.75, + "learning_rate": 1.7976750309661127e-06, + "loss": 0.8259, + "step": 4101 + }, + { + "epoch": 1.75, + "learning_rate": 1.7971712324872643e-06, + "loss": 0.689, + "step": 4102 + }, + { + "epoch": 1.75, + "learning_rate": 1.7966673991138907e-06, + "loss": 1.0346, + "step": 4103 + }, + { + "epoch": 1.75, + "learning_rate": 1.796163530905153e-06, + "loss": 0.8931, + "step": 4104 + }, + { + "epoch": 1.75, + "learning_rate": 1.7956596279202162e-06, + "loss": 0.9735, + "step": 4105 + }, + { + "epoch": 1.75, + "learning_rate": 1.7951556902182499e-06, + "loss": 1.0288, + "step": 4106 + }, + { + "epoch": 1.75, + "learning_rate": 1.7946517178584277e-06, + "loss": 0.8892, + "step": 4107 + }, + { + "epoch": 1.75, + "learning_rate": 1.7941477108999274e-06, + "loss": 1.2085, + "step": 4108 + }, + { + "epoch": 1.75, + "learning_rate": 1.7936436694019302e-06, + "loss": 1.299, + "step": 4109 + }, + { + "epoch": 1.75, + "learning_rate": 1.7931395934236217e-06, + "loss": 1.0556, + "step": 4110 + }, + { + "epoch": 1.75, + "learning_rate": 1.7926354830241926e-06, + "loss": 0.841, + "step": 4111 + }, + { + "epoch": 1.76, + "learning_rate": 1.7921313382628355e-06, + "loss": 1.0767, + "step": 4112 + }, + { + "epoch": 1.76, + "learning_rate": 1.791627159198749e-06, + "loss": 0.7847, + "step": 4113 + }, + { + "epoch": 1.76, + "learning_rate": 1.7911229458911348e-06, + "loss": 0.7628, + "step": 4114 + }, + { + "epoch": 1.76, + "learning_rate": 1.7906186983991987e-06, + "loss": 0.809, + "step": 4115 + }, + { + "epoch": 1.76, + "learning_rate": 1.7901144167821509e-06, + "loss": 0.7485, + "step": 4116 + }, + { + "epoch": 1.76, + "learning_rate": 1.7896101010992042e-06, + "loss": 0.9664, + "step": 4117 + }, + { + "epoch": 1.76, + "learning_rate": 1.7891057514095779e-06, + "loss": 1.1681, + "step": 4118 + }, + { + "epoch": 1.76, + "learning_rate": 1.788601367772493e-06, + "loss": 0.638, + "step": 4119 + }, + { + "epoch": 1.76, + "learning_rate": 1.7880969502471763e-06, + "loss": 1.3513, + "step": 4120 + }, + { + "epoch": 1.76, + "learning_rate": 1.7875924988928563e-06, + "loss": 0.8658, + "step": 4121 + }, + { + "epoch": 1.76, + "learning_rate": 1.7870880137687682e-06, + "loss": 1.1213, + "step": 4122 + }, + { + "epoch": 1.76, + "learning_rate": 1.7865834949341488e-06, + "loss": 0.644, + "step": 4123 + }, + { + "epoch": 1.76, + "learning_rate": 1.7860789424482405e-06, + "loss": 0.4287, + "step": 4124 + }, + { + "epoch": 1.76, + "learning_rate": 1.7855743563702881e-06, + "loss": 0.9111, + "step": 4125 + }, + { + "epoch": 1.76, + "learning_rate": 1.7850697367595427e-06, + "loss": 0.9724, + "step": 4126 + }, + { + "epoch": 1.76, + "learning_rate": 1.7845650836752569e-06, + "loss": 1.0075, + "step": 4127 + }, + { + "epoch": 1.76, + "learning_rate": 1.784060397176688e-06, + "loss": 1.0967, + "step": 4128 + }, + { + "epoch": 1.76, + "learning_rate": 1.7835556773230982e-06, + "loss": 1.2478, + "step": 4129 + }, + { + "epoch": 1.76, + "learning_rate": 1.7830509241737523e-06, + "loss": 1.3544, + "step": 4130 + }, + { + "epoch": 1.76, + "learning_rate": 1.78254613778792e-06, + "loss": 0.7636, + "step": 4131 + }, + { + "epoch": 1.76, + "learning_rate": 1.782041318224874e-06, + "loss": 0.7162, + "step": 4132 + }, + { + "epoch": 1.76, + "learning_rate": 1.7815364655438915e-06, + "loss": 1.0199, + "step": 4133 + }, + { + "epoch": 1.76, + "learning_rate": 1.781031579804254e-06, + "loss": 0.6936, + "step": 4134 + }, + { + "epoch": 1.77, + "learning_rate": 1.7805266610652457e-06, + "loss": 0.9383, + "step": 4135 + }, + { + "epoch": 1.77, + "learning_rate": 1.7800217093861553e-06, + "loss": 1.3372, + "step": 4136 + }, + { + "epoch": 1.77, + "learning_rate": 1.7795167248262755e-06, + "loss": 0.7236, + "step": 4137 + }, + { + "epoch": 1.77, + "learning_rate": 1.7790117074449033e-06, + "loss": 0.9176, + "step": 4138 + }, + { + "epoch": 1.77, + "learning_rate": 1.7785066573013378e-06, + "loss": 0.6828, + "step": 4139 + }, + { + "epoch": 1.77, + "learning_rate": 1.7780015744548846e-06, + "loss": 0.9276, + "step": 4140 + }, + { + "epoch": 1.77, + "learning_rate": 1.7774964589648508e-06, + "loss": 0.9058, + "step": 4141 + }, + { + "epoch": 1.77, + "learning_rate": 1.7769913108905483e-06, + "loss": 0.9648, + "step": 4142 + }, + { + "epoch": 1.77, + "learning_rate": 1.7764861302912927e-06, + "loss": 0.7603, + "step": 4143 + }, + { + "epoch": 1.77, + "learning_rate": 1.7759809172264036e-06, + "loss": 0.9921, + "step": 4144 + }, + { + "epoch": 1.77, + "learning_rate": 1.7754756717552043e-06, + "loss": 0.8591, + "step": 4145 + }, + { + "epoch": 1.77, + "learning_rate": 1.774970393937022e-06, + "loss": 0.7732, + "step": 4146 + }, + { + "epoch": 1.77, + "learning_rate": 1.7744650838311869e-06, + "loss": 0.9587, + "step": 4147 + }, + { + "epoch": 1.77, + "learning_rate": 1.7739597414970345e-06, + "loss": 0.9832, + "step": 4148 + }, + { + "epoch": 1.77, + "learning_rate": 1.773454366993903e-06, + "loss": 0.9446, + "step": 4149 + }, + { + "epoch": 1.77, + "learning_rate": 1.7729489603811347e-06, + "loss": 0.85, + "step": 4150 + }, + { + "epoch": 1.77, + "learning_rate": 1.7724435217180747e-06, + "loss": 1.0807, + "step": 4151 + }, + { + "epoch": 1.77, + "learning_rate": 1.7719380510640744e-06, + "loss": 0.963, + "step": 4152 + }, + { + "epoch": 1.77, + "learning_rate": 1.771432548478486e-06, + "loss": 0.8644, + "step": 4153 + }, + { + "epoch": 1.77, + "learning_rate": 1.770927014020667e-06, + "loss": 0.9484, + "step": 4154 + }, + { + "epoch": 1.77, + "learning_rate": 1.7704214477499789e-06, + "loss": 1.4628, + "step": 4155 + }, + { + "epoch": 1.77, + "learning_rate": 1.769915849725786e-06, + "loss": 0.7443, + "step": 4156 + }, + { + "epoch": 1.77, + "learning_rate": 1.7694102200074572e-06, + "loss": 1.0412, + "step": 4157 + }, + { + "epoch": 1.78, + "learning_rate": 1.7689045586543644e-06, + "loss": 0.615, + "step": 4158 + }, + { + "epoch": 1.78, + "learning_rate": 1.7683988657258838e-06, + "loss": 1.0354, + "step": 4159 + }, + { + "epoch": 1.78, + "learning_rate": 1.7678931412813946e-06, + "loss": 0.9812, + "step": 4160 + }, + { + "epoch": 1.78, + "learning_rate": 1.7673873853802798e-06, + "loss": 0.9586, + "step": 4161 + }, + { + "epoch": 1.78, + "learning_rate": 1.7668815980819269e-06, + "loss": 0.7448, + "step": 4162 + }, + { + "epoch": 1.78, + "learning_rate": 1.7663757794457272e-06, + "loss": 0.75, + "step": 4163 + }, + { + "epoch": 1.78, + "learning_rate": 1.7658699295310742e-06, + "loss": 0.7127, + "step": 4164 + }, + { + "epoch": 1.78, + "learning_rate": 1.765364048397366e-06, + "loss": 0.6851, + "step": 4165 + }, + { + "epoch": 1.78, + "learning_rate": 1.7648581361040046e-06, + "loss": 0.5688, + "step": 4166 + }, + { + "epoch": 1.78, + "learning_rate": 1.7643521927103957e-06, + "loss": 0.945, + "step": 4167 + }, + { + "epoch": 1.78, + "learning_rate": 1.763846218275948e-06, + "loss": 0.8032, + "step": 4168 + }, + { + "epoch": 1.78, + "learning_rate": 1.7633402128600735e-06, + "loss": 1.0722, + "step": 4169 + }, + { + "epoch": 1.78, + "learning_rate": 1.7628341765221896e-06, + "loss": 1.159, + "step": 4170 + }, + { + "epoch": 1.78, + "learning_rate": 1.762328109321716e-06, + "loss": 0.8739, + "step": 4171 + }, + { + "epoch": 1.78, + "learning_rate": 1.7618220113180758e-06, + "loss": 0.7725, + "step": 4172 + }, + { + "epoch": 1.78, + "learning_rate": 1.7613158825706963e-06, + "loss": 0.8106, + "step": 4173 + }, + { + "epoch": 1.78, + "learning_rate": 1.7608097231390086e-06, + "loss": 0.9554, + "step": 4174 + }, + { + "epoch": 1.78, + "learning_rate": 1.760303533082447e-06, + "loss": 1.0577, + "step": 4175 + }, + { + "epoch": 1.78, + "learning_rate": 1.7597973124604495e-06, + "loss": 0.7409, + "step": 4176 + }, + { + "epoch": 1.78, + "learning_rate": 1.7592910613324574e-06, + "loss": 0.9291, + "step": 4177 + }, + { + "epoch": 1.78, + "learning_rate": 1.7587847797579161e-06, + "loss": 0.7995, + "step": 4178 + }, + { + "epoch": 1.78, + "learning_rate": 1.7582784677962742e-06, + "loss": 1.0438, + "step": 4179 + }, + { + "epoch": 1.78, + "learning_rate": 1.757772125506984e-06, + "loss": 5.606, + "step": 4180 + }, + { + "epoch": 1.79, + "learning_rate": 1.7572657529495023e-06, + "loss": 0.975, + "step": 4181 + }, + { + "epoch": 1.79, + "learning_rate": 1.7567593501832871e-06, + "loss": 1.074, + "step": 4182 + }, + { + "epoch": 1.79, + "learning_rate": 1.7562529172678022e-06, + "loss": 0.897, + "step": 4183 + }, + { + "epoch": 1.79, + "learning_rate": 1.7557464542625137e-06, + "loss": 0.8277, + "step": 4184 + }, + { + "epoch": 1.79, + "learning_rate": 1.7552399612268917e-06, + "loss": 0.9661, + "step": 4185 + }, + { + "epoch": 1.79, + "learning_rate": 1.7547334382204105e-06, + "loss": 1.0473, + "step": 4186 + }, + { + "epoch": 1.79, + "learning_rate": 1.7542268853025463e-06, + "loss": 1.0779, + "step": 4187 + }, + { + "epoch": 1.79, + "learning_rate": 1.7537203025327797e-06, + "loss": 1.0993, + "step": 4188 + }, + { + "epoch": 1.79, + "learning_rate": 1.7532136899705956e-06, + "loss": 0.8315, + "step": 4189 + }, + { + "epoch": 1.79, + "learning_rate": 1.752707047675481e-06, + "loss": 0.8988, + "step": 4190 + }, + { + "epoch": 1.79, + "learning_rate": 1.752200375706927e-06, + "loss": 1.2029, + "step": 4191 + }, + { + "epoch": 1.79, + "learning_rate": 1.7516936741244285e-06, + "loss": 0.9883, + "step": 4192 + }, + { + "epoch": 1.79, + "learning_rate": 1.7511869429874832e-06, + "loss": 0.9012, + "step": 4193 + }, + { + "epoch": 1.79, + "learning_rate": 1.7506801823555928e-06, + "loss": 0.8125, + "step": 4194 + }, + { + "epoch": 1.79, + "learning_rate": 1.7501733922882623e-06, + "loss": 1.0666, + "step": 4195 + }, + { + "epoch": 1.79, + "learning_rate": 1.749666572845e-06, + "loss": 1.1345, + "step": 4196 + }, + { + "epoch": 1.79, + "learning_rate": 1.7491597240853182e-06, + "loss": 0.8877, + "step": 4197 + }, + { + "epoch": 1.79, + "learning_rate": 1.7486528460687316e-06, + "loss": 1.2818, + "step": 4198 + }, + { + "epoch": 1.79, + "learning_rate": 1.7481459388547596e-06, + "loss": 1.1329, + "step": 4199 + }, + { + "epoch": 1.79, + "learning_rate": 1.7476390025029241e-06, + "loss": 1.2801, + "step": 4200 + }, + { + "epoch": 1.79, + "learning_rate": 1.7471320370727508e-06, + "loss": 0.6542, + "step": 4201 + }, + { + "epoch": 1.79, + "learning_rate": 1.7466250426237685e-06, + "loss": 1.0605, + "step": 4202 + }, + { + "epoch": 1.79, + "learning_rate": 1.7461180192155099e-06, + "loss": 0.8461, + "step": 4203 + }, + { + "epoch": 1.79, + "learning_rate": 1.7456109669075107e-06, + "loss": 1.142, + "step": 4204 + }, + { + "epoch": 1.8, + "learning_rate": 1.7451038857593107e-06, + "loss": 1.0122, + "step": 4205 + }, + { + "epoch": 1.8, + "learning_rate": 1.7445967758304515e-06, + "loss": 0.5962, + "step": 4206 + }, + { + "epoch": 1.8, + "learning_rate": 1.74408963718048e-06, + "loss": 1.0282, + "step": 4207 + }, + { + "epoch": 1.8, + "learning_rate": 1.7435824698689454e-06, + "loss": 1.0362, + "step": 4208 + }, + { + "epoch": 1.8, + "learning_rate": 1.7430752739554e-06, + "loss": 1.1064, + "step": 4209 + }, + { + "epoch": 1.8, + "learning_rate": 1.7425680494994003e-06, + "loss": 1.06, + "step": 4210 + }, + { + "epoch": 1.8, + "learning_rate": 1.7420607965605057e-06, + "loss": 0.8269, + "step": 4211 + }, + { + "epoch": 1.8, + "learning_rate": 1.7415535151982792e-06, + "loss": 1.2008, + "step": 4212 + }, + { + "epoch": 1.8, + "learning_rate": 1.7410462054722864e-06, + "loss": 1.2998, + "step": 4213 + }, + { + "epoch": 1.8, + "learning_rate": 1.740538867442097e-06, + "loss": 1.0696, + "step": 4214 + }, + { + "epoch": 1.8, + "learning_rate": 1.740031501167284e-06, + "loss": 0.8833, + "step": 4215 + }, + { + "epoch": 1.8, + "learning_rate": 1.7395241067074235e-06, + "loss": 0.9471, + "step": 4216 + }, + { + "epoch": 1.8, + "learning_rate": 1.7390166841220947e-06, + "loss": 0.6905, + "step": 4217 + }, + { + "epoch": 1.8, + "learning_rate": 1.73850923347088e-06, + "loss": 1.1248, + "step": 4218 + }, + { + "epoch": 1.8, + "learning_rate": 1.7380017548133665e-06, + "loss": 1.1448, + "step": 4219 + }, + { + "epoch": 1.8, + "learning_rate": 1.7374942482091424e-06, + "loss": 0.9388, + "step": 4220 + }, + { + "epoch": 1.8, + "learning_rate": 1.7369867137178007e-06, + "loss": 1.0587, + "step": 4221 + }, + { + "epoch": 1.8, + "learning_rate": 1.7364791513989378e-06, + "loss": 1.1138, + "step": 4222 + }, + { + "epoch": 1.8, + "learning_rate": 1.7359715613121514e-06, + "loss": 0.876, + "step": 4223 + }, + { + "epoch": 1.8, + "learning_rate": 1.7354639435170453e-06, + "loss": 0.868, + "step": 4224 + }, + { + "epoch": 1.8, + "learning_rate": 1.7349562980732247e-06, + "loss": 0.8703, + "step": 4225 + }, + { + "epoch": 1.8, + "learning_rate": 1.7344486250402984e-06, + "loss": 1.028, + "step": 4226 + }, + { + "epoch": 1.8, + "learning_rate": 1.7339409244778785e-06, + "loss": 0.8437, + "step": 4227 + }, + { + "epoch": 1.81, + "learning_rate": 1.7334331964455803e-06, + "loss": 0.8613, + "step": 4228 + }, + { + "epoch": 1.81, + "learning_rate": 1.7329254410030222e-06, + "loss": 0.7388, + "step": 4229 + }, + { + "epoch": 1.81, + "learning_rate": 1.7324176582098268e-06, + "loss": 1.1759, + "step": 4230 + }, + { + "epoch": 1.81, + "learning_rate": 1.7319098481256188e-06, + "loss": 0.6181, + "step": 4231 + }, + { + "epoch": 1.81, + "learning_rate": 1.7314020108100256e-06, + "loss": 1.0902, + "step": 4232 + }, + { + "epoch": 1.81, + "learning_rate": 1.7308941463226795e-06, + "loss": 0.716, + "step": 4233 + }, + { + "epoch": 1.81, + "learning_rate": 1.7303862547232148e-06, + "loss": 0.669, + "step": 4234 + }, + { + "epoch": 1.81, + "learning_rate": 1.7298783360712697e-06, + "loss": 0.8854, + "step": 4235 + }, + { + "epoch": 1.81, + "learning_rate": 1.7293703904264843e-06, + "loss": 0.7894, + "step": 4236 + }, + { + "epoch": 1.81, + "learning_rate": 1.7288624178485036e-06, + "loss": 0.8872, + "step": 4237 + }, + { + "epoch": 1.81, + "learning_rate": 1.7283544183969748e-06, + "loss": 1.089, + "step": 4238 + }, + { + "epoch": 1.81, + "learning_rate": 1.727846392131548e-06, + "loss": 1.2127, + "step": 4239 + }, + { + "epoch": 1.81, + "learning_rate": 1.7273383391118761e-06, + "loss": 1.2395, + "step": 4240 + }, + { + "epoch": 1.81, + "learning_rate": 1.7268302593976177e-06, + "loss": 1.1704, + "step": 4241 + }, + { + "epoch": 1.81, + "learning_rate": 1.7263221530484315e-06, + "loss": 1.0975, + "step": 4242 + }, + { + "epoch": 1.81, + "learning_rate": 1.7258140201239803e-06, + "loss": 0.5836, + "step": 4243 + }, + { + "epoch": 1.81, + "learning_rate": 1.7253058606839307e-06, + "loss": 1.0631, + "step": 4244 + }, + { + "epoch": 1.81, + "learning_rate": 1.7247976747879518e-06, + "loss": 0.9105, + "step": 4245 + }, + { + "epoch": 1.81, + "learning_rate": 1.7242894624957161e-06, + "loss": 0.8582, + "step": 4246 + }, + { + "epoch": 1.81, + "learning_rate": 1.7237812238668987e-06, + "loss": 1.1452, + "step": 4247 + }, + { + "epoch": 1.81, + "learning_rate": 1.7232729589611787e-06, + "loss": 1.1019, + "step": 4248 + }, + { + "epoch": 1.81, + "learning_rate": 1.7227646678382375e-06, + "loss": 0.9041, + "step": 4249 + }, + { + "epoch": 1.81, + "learning_rate": 1.7222563505577596e-06, + "loss": 1.1084, + "step": 4250 + }, + { + "epoch": 1.82, + "learning_rate": 1.7217480071794324e-06, + "loss": 0.7841, + "step": 4251 + }, + { + "epoch": 1.82, + "learning_rate": 1.7212396377629476e-06, + "loss": 1.4062, + "step": 4252 + }, + { + "epoch": 1.82, + "learning_rate": 1.7207312423679991e-06, + "loss": 1.1609, + "step": 4253 + }, + { + "epoch": 1.82, + "learning_rate": 1.7202228210542831e-06, + "loss": 0.74, + "step": 4254 + }, + { + "epoch": 1.82, + "learning_rate": 1.7197143738815002e-06, + "loss": 0.7777, + "step": 4255 + }, + { + "epoch": 1.82, + "learning_rate": 1.719205900909353e-06, + "loss": 0.8766, + "step": 4256 + }, + { + "epoch": 1.82, + "learning_rate": 1.7186974021975478e-06, + "loss": 1.2109, + "step": 4257 + }, + { + "epoch": 1.82, + "learning_rate": 1.7181888778057934e-06, + "loss": 1.169, + "step": 4258 + }, + { + "epoch": 1.82, + "learning_rate": 1.7176803277938024e-06, + "loss": 1.0662, + "step": 4259 + }, + { + "epoch": 1.82, + "learning_rate": 1.7171717522212895e-06, + "loss": 1.3139, + "step": 4260 + }, + { + "epoch": 1.82, + "learning_rate": 1.7166631511479735e-06, + "loss": 0.7293, + "step": 4261 + }, + { + "epoch": 1.82, + "learning_rate": 1.716154524633574e-06, + "loss": 1.0084, + "step": 4262 + }, + { + "epoch": 1.82, + "learning_rate": 1.7156458727378166e-06, + "loss": 0.9367, + "step": 4263 + }, + { + "epoch": 1.82, + "learning_rate": 1.715137195520428e-06, + "loss": 0.9464, + "step": 4264 + }, + { + "epoch": 1.82, + "learning_rate": 1.7146284930411378e-06, + "loss": 0.7869, + "step": 4265 + }, + { + "epoch": 1.82, + "learning_rate": 1.714119765359679e-06, + "loss": 0.7626, + "step": 4266 + }, + { + "epoch": 1.82, + "learning_rate": 1.713611012535788e-06, + "loss": 0.9181, + "step": 4267 + }, + { + "epoch": 1.82, + "learning_rate": 1.7131022346292038e-06, + "loss": 1.1021, + "step": 4268 + }, + { + "epoch": 1.82, + "learning_rate": 1.712593431699668e-06, + "loss": 1.3851, + "step": 4269 + }, + { + "epoch": 1.82, + "learning_rate": 1.712084603806925e-06, + "loss": 1.0465, + "step": 4270 + }, + { + "epoch": 1.82, + "learning_rate": 1.711575751010723e-06, + "loss": 0.9506, + "step": 4271 + }, + { + "epoch": 1.82, + "learning_rate": 1.711066873370813e-06, + "loss": 0.5819, + "step": 4272 + }, + { + "epoch": 1.82, + "learning_rate": 1.710557970946948e-06, + "loss": 1.0545, + "step": 4273 + }, + { + "epoch": 1.83, + "learning_rate": 1.7100490437988847e-06, + "loss": 1.1117, + "step": 4274 + }, + { + "epoch": 1.83, + "learning_rate": 1.7095400919863823e-06, + "loss": 0.8039, + "step": 4275 + }, + { + "epoch": 1.83, + "learning_rate": 1.7090311155692036e-06, + "loss": 0.883, + "step": 4276 + }, + { + "epoch": 1.83, + "learning_rate": 1.708522114607113e-06, + "loss": 0.6236, + "step": 4277 + }, + { + "epoch": 1.83, + "learning_rate": 1.708013089159879e-06, + "loss": 1.1774, + "step": 4278 + }, + { + "epoch": 1.83, + "learning_rate": 1.7075040392872728e-06, + "loss": 0.8046, + "step": 4279 + }, + { + "epoch": 1.83, + "learning_rate": 1.7069949650490677e-06, + "loss": 1.1113, + "step": 4280 + }, + { + "epoch": 1.83, + "learning_rate": 1.7064858665050405e-06, + "loss": 0.8141, + "step": 4281 + }, + { + "epoch": 1.83, + "learning_rate": 1.7059767437149708e-06, + "loss": 0.7885, + "step": 4282 + }, + { + "epoch": 1.83, + "learning_rate": 1.7054675967386413e-06, + "loss": 0.7219, + "step": 4283 + }, + { + "epoch": 1.83, + "learning_rate": 1.7049584256358368e-06, + "loss": 0.9993, + "step": 4284 + }, + { + "epoch": 1.83, + "learning_rate": 1.704449230466345e-06, + "loss": 1.2357, + "step": 4285 + }, + { + "epoch": 1.83, + "learning_rate": 1.703940011289957e-06, + "loss": 0.7177, + "step": 4286 + }, + { + "epoch": 1.83, + "learning_rate": 1.7034307681664673e-06, + "loss": 0.9152, + "step": 4287 + }, + { + "epoch": 1.83, + "learning_rate": 1.7029215011556713e-06, + "loss": 0.9229, + "step": 4288 + }, + { + "epoch": 1.83, + "learning_rate": 1.7024122103173689e-06, + "loss": 0.991, + "step": 4289 + }, + { + "epoch": 1.83, + "learning_rate": 1.7019028957113618e-06, + "loss": 0.5208, + "step": 4290 + }, + { + "epoch": 1.83, + "learning_rate": 1.7013935573974553e-06, + "loss": 1.5638, + "step": 4291 + }, + { + "epoch": 1.83, + "learning_rate": 1.7008841954354565e-06, + "loss": 1.0497, + "step": 4292 + }, + { + "epoch": 1.83, + "learning_rate": 1.7003748098851766e-06, + "loss": 1.0456, + "step": 4293 + }, + { + "epoch": 1.83, + "learning_rate": 1.6998654008064282e-06, + "loss": 1.1277, + "step": 4294 + }, + { + "epoch": 1.83, + "learning_rate": 1.6993559682590277e-06, + "loss": 1.2106, + "step": 4295 + }, + { + "epoch": 1.83, + "learning_rate": 1.698846512302793e-06, + "loss": 1.208, + "step": 4296 + }, + { + "epoch": 1.84, + "learning_rate": 1.698337032997547e-06, + "loss": 1.0626, + "step": 4297 + }, + { + "epoch": 1.84, + "learning_rate": 1.6978275304031127e-06, + "loss": 0.932, + "step": 4298 + }, + { + "epoch": 1.84, + "learning_rate": 1.6973180045793175e-06, + "loss": 0.8442, + "step": 4299 + }, + { + "epoch": 1.84, + "learning_rate": 1.6968084555859914e-06, + "loss": 0.7317, + "step": 4300 + }, + { + "epoch": 1.84, + "learning_rate": 1.6962988834829662e-06, + "loss": 0.9194, + "step": 4301 + }, + { + "epoch": 1.84, + "learning_rate": 1.6957892883300778e-06, + "loss": 1.1869, + "step": 4302 + }, + { + "epoch": 1.84, + "learning_rate": 1.6952796701871628e-06, + "loss": 1.0347, + "step": 4303 + }, + { + "epoch": 1.84, + "learning_rate": 1.6947700291140628e-06, + "loss": 1.1392, + "step": 4304 + }, + { + "epoch": 1.84, + "learning_rate": 1.6942603651706207e-06, + "loss": 1.0005, + "step": 4305 + }, + { + "epoch": 1.84, + "learning_rate": 1.6937506784166828e-06, + "loss": 0.9922, + "step": 4306 + }, + { + "epoch": 1.84, + "learning_rate": 1.6932409689120966e-06, + "loss": 0.9452, + "step": 4307 + }, + { + "epoch": 1.84, + "learning_rate": 1.6927312367167143e-06, + "loss": 0.8859, + "step": 4308 + }, + { + "epoch": 1.84, + "learning_rate": 1.6922214818903898e-06, + "loss": 1.0088, + "step": 4309 + }, + { + "epoch": 1.84, + "learning_rate": 1.6917117044929795e-06, + "loss": 1.0862, + "step": 4310 + }, + { + "epoch": 1.84, + "learning_rate": 1.691201904584342e-06, + "loss": 0.9134, + "step": 4311 + }, + { + "epoch": 1.84, + "learning_rate": 1.6906920822243403e-06, + "loss": 1.1457, + "step": 4312 + }, + { + "epoch": 1.84, + "learning_rate": 1.690182237472838e-06, + "loss": 0.9793, + "step": 4313 + }, + { + "epoch": 1.84, + "learning_rate": 1.6896723703897025e-06, + "loss": 0.767, + "step": 4314 + }, + { + "epoch": 1.84, + "learning_rate": 1.689162481034804e-06, + "loss": 0.9249, + "step": 4315 + }, + { + "epoch": 1.84, + "learning_rate": 1.6886525694680143e-06, + "loss": 1.0276, + "step": 4316 + }, + { + "epoch": 1.84, + "learning_rate": 1.6881426357492084e-06, + "loss": 1.7737, + "step": 4317 + }, + { + "epoch": 1.84, + "learning_rate": 1.6876326799382645e-06, + "loss": 1.0852, + "step": 4318 + }, + { + "epoch": 1.84, + "learning_rate": 1.6871227020950622e-06, + "loss": 1.066, + "step": 4319 + }, + { + "epoch": 1.85, + "learning_rate": 1.6866127022794844e-06, + "loss": 1.0052, + "step": 4320 + }, + { + "epoch": 1.85, + "learning_rate": 1.6861026805514164e-06, + "loss": 1.4381, + "step": 4321 + }, + { + "epoch": 1.85, + "learning_rate": 1.685592636970746e-06, + "loss": 0.9199, + "step": 4322 + }, + { + "epoch": 1.85, + "learning_rate": 1.6850825715973642e-06, + "loss": 1.0855, + "step": 4323 + }, + { + "epoch": 1.85, + "learning_rate": 1.6845724844911636e-06, + "loss": 1.2311, + "step": 4324 + }, + { + "epoch": 1.85, + "learning_rate": 1.6840623757120395e-06, + "loss": 0.7471, + "step": 4325 + }, + { + "epoch": 1.85, + "learning_rate": 1.6835522453198908e-06, + "loss": 0.9407, + "step": 4326 + }, + { + "epoch": 1.85, + "learning_rate": 1.683042093374618e-06, + "loss": 0.7282, + "step": 4327 + }, + { + "epoch": 1.85, + "learning_rate": 1.682531919936124e-06, + "loss": 1.3536, + "step": 4328 + }, + { + "epoch": 1.85, + "learning_rate": 1.6820217250643142e-06, + "loss": 0.5081, + "step": 4329 + }, + { + "epoch": 1.85, + "learning_rate": 1.6815115088190977e-06, + "loss": 0.87, + "step": 4330 + }, + { + "epoch": 1.85, + "learning_rate": 1.681001271260385e-06, + "loss": 0.6994, + "step": 4331 + }, + { + "epoch": 1.85, + "learning_rate": 1.6804910124480892e-06, + "loss": 0.9987, + "step": 4332 + }, + { + "epoch": 1.85, + "learning_rate": 1.6799807324421258e-06, + "loss": 0.7505, + "step": 4333 + }, + { + "epoch": 1.85, + "learning_rate": 1.6794704313024132e-06, + "loss": 1.276, + "step": 4334 + }, + { + "epoch": 1.85, + "learning_rate": 1.6789601090888726e-06, + "loss": 0.8051, + "step": 4335 + }, + { + "epoch": 1.85, + "learning_rate": 1.6784497658614269e-06, + "loss": 1.0943, + "step": 4336 + }, + { + "epoch": 1.85, + "learning_rate": 1.6779394016800012e-06, + "loss": 0.7962, + "step": 4337 + }, + { + "epoch": 1.85, + "learning_rate": 1.6774290166045247e-06, + "loss": 0.8746, + "step": 4338 + }, + { + "epoch": 1.85, + "learning_rate": 1.676918610694927e-06, + "loss": 1.061, + "step": 4339 + }, + { + "epoch": 1.85, + "learning_rate": 1.6764081840111417e-06, + "loss": 0.9369, + "step": 4340 + }, + { + "epoch": 1.85, + "learning_rate": 1.675897736613104e-06, + "loss": 0.7964, + "step": 4341 + }, + { + "epoch": 1.85, + "learning_rate": 1.6753872685607526e-06, + "loss": 0.9616, + "step": 4342 + }, + { + "epoch": 1.85, + "learning_rate": 1.6748767799140265e-06, + "loss": 0.8608, + "step": 4343 + }, + { + "epoch": 1.86, + "learning_rate": 1.6743662707328693e-06, + "loss": 0.6517, + "step": 4344 + }, + { + "epoch": 1.86, + "learning_rate": 1.6738557410772257e-06, + "loss": 0.8947, + "step": 4345 + }, + { + "epoch": 1.86, + "learning_rate": 1.6733451910070438e-06, + "loss": 0.9856, + "step": 4346 + }, + { + "epoch": 1.86, + "learning_rate": 1.6728346205822732e-06, + "loss": 1.0175, + "step": 4347 + }, + { + "epoch": 1.86, + "learning_rate": 1.6723240298628666e-06, + "loss": 0.7868, + "step": 4348 + }, + { + "epoch": 1.86, + "learning_rate": 1.6718134189087778e-06, + "loss": 0.9748, + "step": 4349 + }, + { + "epoch": 1.86, + "learning_rate": 1.6713027877799651e-06, + "loss": 1.3974, + "step": 4350 + }, + { + "epoch": 1.86, + "learning_rate": 1.6707921365363872e-06, + "loss": 0.8357, + "step": 4351 + }, + { + "epoch": 1.86, + "learning_rate": 1.670281465238006e-06, + "loss": 0.7783, + "step": 4352 + }, + { + "epoch": 1.86, + "learning_rate": 1.6697707739447863e-06, + "loss": 0.9009, + "step": 4353 + }, + { + "epoch": 1.86, + "learning_rate": 1.6692600627166939e-06, + "loss": 0.8387, + "step": 4354 + }, + { + "epoch": 1.86, + "learning_rate": 1.6687493316136977e-06, + "loss": 0.9214, + "step": 4355 + }, + { + "epoch": 1.86, + "learning_rate": 1.6682385806957695e-06, + "loss": 0.8098, + "step": 4356 + }, + { + "epoch": 1.86, + "learning_rate": 1.6677278100228828e-06, + "loss": 1.1067, + "step": 4357 + }, + { + "epoch": 1.86, + "learning_rate": 1.667217019655013e-06, + "loss": 0.8114, + "step": 4358 + }, + { + "epoch": 1.86, + "learning_rate": 1.666706209652138e-06, + "loss": 0.9005, + "step": 4359 + }, + { + "epoch": 1.86, + "learning_rate": 1.666195380074239e-06, + "loss": 1.3237, + "step": 4360 + }, + { + "epoch": 1.86, + "learning_rate": 1.6656845309812989e-06, + "loss": 0.8652, + "step": 4361 + }, + { + "epoch": 1.86, + "learning_rate": 1.665173662433302e-06, + "loss": 0.8205, + "step": 4362 + }, + { + "epoch": 1.86, + "learning_rate": 1.6646627744902358e-06, + "loss": 0.7573, + "step": 4363 + }, + { + "epoch": 1.86, + "learning_rate": 1.6641518672120906e-06, + "loss": 0.5742, + "step": 4364 + }, + { + "epoch": 1.86, + "learning_rate": 1.6636409406588577e-06, + "loss": 1.0902, + "step": 4365 + }, + { + "epoch": 1.86, + "learning_rate": 1.663129994890531e-06, + "loss": 0.9829, + "step": 4366 + }, + { + "epoch": 1.87, + "learning_rate": 1.662619029967108e-06, + "loss": 0.9755, + "step": 4367 + }, + { + "epoch": 1.87, + "learning_rate": 1.6621080459485865e-06, + "loss": 0.8114, + "step": 4368 + }, + { + "epoch": 1.87, + "learning_rate": 1.6615970428949678e-06, + "loss": 1.009, + "step": 4369 + }, + { + "epoch": 1.87, + "learning_rate": 1.6610860208662544e-06, + "loss": 0.8512, + "step": 4370 + }, + { + "epoch": 1.87, + "learning_rate": 1.6605749799224526e-06, + "loss": 0.8369, + "step": 4371 + }, + { + "epoch": 1.87, + "learning_rate": 1.6600639201235696e-06, + "loss": 0.7988, + "step": 4372 + }, + { + "epoch": 1.87, + "learning_rate": 1.6595528415296146e-06, + "loss": 1.0017, + "step": 4373 + }, + { + "epoch": 1.87, + "learning_rate": 1.6590417442006006e-06, + "loss": 0.8417, + "step": 4374 + }, + { + "epoch": 1.87, + "learning_rate": 1.6585306281965413e-06, + "loss": 0.8507, + "step": 4375 + }, + { + "epoch": 1.87, + "learning_rate": 1.6580194935774536e-06, + "loss": 0.9738, + "step": 4376 + }, + { + "epoch": 1.87, + "learning_rate": 1.6575083404033554e-06, + "loss": 0.9707, + "step": 4377 + }, + { + "epoch": 1.87, + "learning_rate": 1.656997168734267e-06, + "loss": 1.354, + "step": 4378 + }, + { + "epoch": 1.87, + "learning_rate": 1.656485978630213e-06, + "loss": 0.8077, + "step": 4379 + }, + { + "epoch": 1.87, + "learning_rate": 1.6559747701512177e-06, + "loss": 0.7028, + "step": 4380 + }, + { + "epoch": 1.87, + "learning_rate": 1.6554635433573078e-06, + "loss": 0.7249, + "step": 4381 + }, + { + "epoch": 1.87, + "learning_rate": 1.6549522983085138e-06, + "loss": 0.8283, + "step": 4382 + }, + { + "epoch": 1.87, + "learning_rate": 1.6544410350648665e-06, + "loss": 1.142, + "step": 4383 + }, + { + "epoch": 1.87, + "learning_rate": 1.653929753686399e-06, + "loss": 0.8299, + "step": 4384 + }, + { + "epoch": 1.87, + "learning_rate": 1.6534184542331487e-06, + "loss": 0.7381, + "step": 4385 + }, + { + "epoch": 1.87, + "learning_rate": 1.6529071367651527e-06, + "loss": 1.017, + "step": 4386 + }, + { + "epoch": 1.87, + "learning_rate": 1.652395801342451e-06, + "loss": 0.8516, + "step": 4387 + }, + { + "epoch": 1.87, + "learning_rate": 1.651884448025086e-06, + "loss": 0.8804, + "step": 4388 + }, + { + "epoch": 1.87, + "learning_rate": 1.6513730768731014e-06, + "loss": 1.0244, + "step": 4389 + }, + { + "epoch": 1.88, + "learning_rate": 1.6508616879465443e-06, + "loss": 0.5594, + "step": 4390 + }, + { + "epoch": 1.88, + "learning_rate": 1.650350281305463e-06, + "loss": 1.1213, + "step": 4391 + }, + { + "epoch": 1.88, + "learning_rate": 1.6498388570099078e-06, + "loss": 1.1153, + "step": 4392 + }, + { + "epoch": 1.88, + "learning_rate": 1.6493274151199319e-06, + "loss": 0.7839, + "step": 4393 + }, + { + "epoch": 1.88, + "learning_rate": 1.6488159556955891e-06, + "loss": 1.1059, + "step": 4394 + }, + { + "epoch": 1.88, + "learning_rate": 1.6483044787969368e-06, + "loss": 1.0021, + "step": 4395 + }, + { + "epoch": 1.88, + "learning_rate": 1.6477929844840328e-06, + "loss": 0.7184, + "step": 4396 + }, + { + "epoch": 1.88, + "learning_rate": 1.6472814728169394e-06, + "loss": 1.1833, + "step": 4397 + }, + { + "epoch": 1.88, + "learning_rate": 1.6467699438557188e-06, + "loss": 0.7855, + "step": 4398 + }, + { + "epoch": 1.88, + "learning_rate": 1.6462583976604356e-06, + "loss": 1.1598, + "step": 4399 + }, + { + "epoch": 1.88, + "learning_rate": 1.6457468342911568e-06, + "loss": 1.0506, + "step": 4400 + }, + { + "epoch": 1.88, + "learning_rate": 1.645235253807952e-06, + "loss": 0.9296, + "step": 4401 + }, + { + "epoch": 1.88, + "learning_rate": 1.6447236562708912e-06, + "loss": 0.9627, + "step": 4402 + }, + { + "epoch": 1.88, + "learning_rate": 1.6442120417400478e-06, + "loss": 1.4301, + "step": 4403 + }, + { + "epoch": 1.88, + "learning_rate": 1.643700410275497e-06, + "loss": 1.2241, + "step": 4404 + }, + { + "epoch": 1.88, + "learning_rate": 1.6431887619373154e-06, + "loss": 1.0298, + "step": 4405 + }, + { + "epoch": 1.88, + "learning_rate": 1.6426770967855823e-06, + "loss": 1.1232, + "step": 4406 + }, + { + "epoch": 1.88, + "learning_rate": 1.6421654148803775e-06, + "loss": 0.7414, + "step": 4407 + }, + { + "epoch": 1.88, + "learning_rate": 1.6416537162817853e-06, + "loss": 0.8999, + "step": 4408 + }, + { + "epoch": 1.88, + "learning_rate": 1.6411420010498899e-06, + "loss": 1.044, + "step": 4409 + }, + { + "epoch": 1.88, + "learning_rate": 1.6406302692447781e-06, + "loss": 1.1978, + "step": 4410 + }, + { + "epoch": 1.88, + "learning_rate": 1.6401185209265385e-06, + "loss": 1.0884, + "step": 4411 + }, + { + "epoch": 1.88, + "learning_rate": 1.6396067561552617e-06, + "loss": 0.8547, + "step": 4412 + }, + { + "epoch": 1.89, + "learning_rate": 1.6390949749910405e-06, + "loss": 0.8718, + "step": 4413 + }, + { + "epoch": 1.89, + "learning_rate": 1.6385831774939692e-06, + "loss": 1.1394, + "step": 4414 + }, + { + "epoch": 1.89, + "learning_rate": 1.6380713637241446e-06, + "loss": 0.8713, + "step": 4415 + }, + { + "epoch": 1.89, + "learning_rate": 1.6375595337416646e-06, + "loss": 0.727, + "step": 4416 + }, + { + "epoch": 1.89, + "learning_rate": 1.6370476876066298e-06, + "loss": 0.9258, + "step": 4417 + }, + { + "epoch": 1.89, + "learning_rate": 1.6365358253791419e-06, + "loss": 0.6534, + "step": 4418 + }, + { + "epoch": 1.89, + "learning_rate": 1.6360239471193057e-06, + "loss": 0.793, + "step": 4419 + }, + { + "epoch": 1.89, + "learning_rate": 1.6355120528872263e-06, + "loss": 0.5565, + "step": 4420 + }, + { + "epoch": 1.89, + "learning_rate": 1.635000142743012e-06, + "loss": 1.3132, + "step": 4421 + }, + { + "epoch": 1.89, + "learning_rate": 1.634488216746772e-06, + "loss": 0.9947, + "step": 4422 + }, + { + "epoch": 1.89, + "learning_rate": 1.6339762749586184e-06, + "loss": 0.7739, + "step": 4423 + }, + { + "epoch": 1.89, + "learning_rate": 1.6334643174386643e-06, + "loss": 0.7924, + "step": 4424 + }, + { + "epoch": 1.89, + "learning_rate": 1.6329523442470249e-06, + "loss": 0.9742, + "step": 4425 + }, + { + "epoch": 1.89, + "learning_rate": 1.632440355443817e-06, + "loss": 1.1258, + "step": 4426 + }, + { + "epoch": 1.89, + "learning_rate": 1.6319283510891602e-06, + "loss": 0.9859, + "step": 4427 + }, + { + "epoch": 1.89, + "learning_rate": 1.6314163312431747e-06, + "loss": 0.7574, + "step": 4428 + }, + { + "epoch": 1.89, + "learning_rate": 1.6309042959659832e-06, + "loss": 0.7987, + "step": 4429 + }, + { + "epoch": 1.89, + "learning_rate": 1.6303922453177098e-06, + "loss": 0.8106, + "step": 4430 + }, + { + "epoch": 1.89, + "learning_rate": 1.6298801793584807e-06, + "loss": 1.0564, + "step": 4431 + }, + { + "epoch": 1.89, + "learning_rate": 1.6293680981484244e-06, + "loss": 0.9403, + "step": 4432 + }, + { + "epoch": 1.89, + "learning_rate": 1.6288560017476698e-06, + "loss": 0.8826, + "step": 4433 + }, + { + "epoch": 1.89, + "learning_rate": 1.6283438902163493e-06, + "loss": 0.8454, + "step": 4434 + }, + { + "epoch": 1.89, + "learning_rate": 1.6278317636145955e-06, + "loss": 0.6994, + "step": 4435 + }, + { + "epoch": 1.9, + "learning_rate": 1.6273196220025442e-06, + "loss": 0.7835, + "step": 4436 + }, + { + "epoch": 1.9, + "learning_rate": 1.626807465440331e-06, + "loss": 0.8644, + "step": 4437 + }, + { + "epoch": 1.9, + "learning_rate": 1.6262952939880959e-06, + "loss": 0.9343, + "step": 4438 + }, + { + "epoch": 1.9, + "learning_rate": 1.6257831077059787e-06, + "loss": 1.0938, + "step": 4439 + }, + { + "epoch": 1.9, + "learning_rate": 1.6252709066541212e-06, + "loss": 1.0798, + "step": 4440 + }, + { + "epoch": 1.9, + "learning_rate": 1.6247586908926672e-06, + "loss": 0.8279, + "step": 4441 + }, + { + "epoch": 1.9, + "learning_rate": 1.624246460481763e-06, + "loss": 0.8762, + "step": 4442 + }, + { + "epoch": 1.9, + "learning_rate": 1.623734215481555e-06, + "loss": 0.8818, + "step": 4443 + }, + { + "epoch": 1.9, + "learning_rate": 1.6232219559521928e-06, + "loss": 0.7192, + "step": 4444 + }, + { + "epoch": 1.9, + "learning_rate": 1.6227096819538269e-06, + "loss": 1.016, + "step": 4445 + }, + { + "epoch": 1.9, + "learning_rate": 1.6221973935466095e-06, + "loss": 0.7252, + "step": 4446 + }, + { + "epoch": 1.9, + "learning_rate": 1.6216850907906944e-06, + "loss": 0.8525, + "step": 4447 + }, + { + "epoch": 1.9, + "learning_rate": 1.6211727737462382e-06, + "loss": 0.9015, + "step": 4448 + }, + { + "epoch": 1.9, + "learning_rate": 1.6206604424733977e-06, + "loss": 0.8737, + "step": 4449 + }, + { + "epoch": 1.9, + "learning_rate": 1.620148097032332e-06, + "loss": 0.7021, + "step": 4450 + }, + { + "epoch": 1.9, + "learning_rate": 1.6196357374832025e-06, + "loss": 0.7929, + "step": 4451 + }, + { + "epoch": 1.9, + "learning_rate": 1.6191233638861706e-06, + "loss": 1.0254, + "step": 4452 + }, + { + "epoch": 1.9, + "learning_rate": 1.6186109763014015e-06, + "loss": 0.9084, + "step": 4453 + }, + { + "epoch": 1.9, + "learning_rate": 1.61809857478906e-06, + "loss": 0.6008, + "step": 4454 + }, + { + "epoch": 1.9, + "learning_rate": 1.6175861594093141e-06, + "loss": 0.8591, + "step": 4455 + }, + { + "epoch": 1.9, + "learning_rate": 1.6170737302223323e-06, + "loss": 0.677, + "step": 4456 + }, + { + "epoch": 1.9, + "learning_rate": 1.616561287288286e-06, + "loss": 0.8638, + "step": 4457 + }, + { + "epoch": 1.9, + "learning_rate": 1.6160488306673463e-06, + "loss": 1.2444, + "step": 4458 + }, + { + "epoch": 1.91, + "learning_rate": 1.6155363604196875e-06, + "loss": 0.9871, + "step": 4459 + }, + { + "epoch": 1.91, + "learning_rate": 1.6150238766054854e-06, + "loss": 1.1295, + "step": 4460 + }, + { + "epoch": 1.91, + "learning_rate": 1.6145113792849167e-06, + "loss": 0.6605, + "step": 4461 + }, + { + "epoch": 1.91, + "learning_rate": 1.6139988685181602e-06, + "loss": 1.1003, + "step": 4462 + }, + { + "epoch": 1.91, + "learning_rate": 1.6134863443653957e-06, + "loss": 0.725, + "step": 4463 + }, + { + "epoch": 1.91, + "learning_rate": 1.6129738068868053e-06, + "loss": 1.0757, + "step": 4464 + }, + { + "epoch": 1.91, + "learning_rate": 1.6124612561425722e-06, + "loss": 0.9403, + "step": 4465 + }, + { + "epoch": 1.91, + "learning_rate": 1.6119486921928815e-06, + "loss": 1.0592, + "step": 4466 + }, + { + "epoch": 1.91, + "learning_rate": 1.611436115097919e-06, + "loss": 0.5656, + "step": 4467 + }, + { + "epoch": 1.91, + "learning_rate": 1.6109235249178732e-06, + "loss": 0.9071, + "step": 4468 + }, + { + "epoch": 1.91, + "learning_rate": 1.6104109217129339e-06, + "loss": 0.9822, + "step": 4469 + }, + { + "epoch": 1.91, + "learning_rate": 1.6098983055432913e-06, + "loss": 1.034, + "step": 4470 + }, + { + "epoch": 1.91, + "learning_rate": 1.6093856764691386e-06, + "loss": 0.8148, + "step": 4471 + }, + { + "epoch": 1.91, + "learning_rate": 1.6088730345506696e-06, + "loss": 0.7677, + "step": 4472 + }, + { + "epoch": 1.91, + "learning_rate": 1.6083603798480802e-06, + "loss": 0.9149, + "step": 4473 + }, + { + "epoch": 1.91, + "learning_rate": 1.6078477124215668e-06, + "loss": 0.8878, + "step": 4474 + }, + { + "epoch": 1.91, + "learning_rate": 1.6073350323313287e-06, + "loss": 0.8252, + "step": 4475 + }, + { + "epoch": 1.91, + "learning_rate": 1.6068223396375658e-06, + "loss": 0.9093, + "step": 4476 + }, + { + "epoch": 1.91, + "learning_rate": 1.6063096344004797e-06, + "loss": 0.8625, + "step": 4477 + }, + { + "epoch": 1.91, + "learning_rate": 1.605796916680273e-06, + "loss": 0.9128, + "step": 4478 + }, + { + "epoch": 1.91, + "learning_rate": 1.6052841865371505e-06, + "loss": 1.0033, + "step": 4479 + }, + { + "epoch": 1.91, + "learning_rate": 1.6047714440313184e-06, + "loss": 1.3893, + "step": 4480 + }, + { + "epoch": 1.91, + "learning_rate": 1.6042586892229838e-06, + "loss": 0.8408, + "step": 4481 + }, + { + "epoch": 1.91, + "learning_rate": 1.603745922172355e-06, + "loss": 0.7506, + "step": 4482 + }, + { + "epoch": 1.92, + "learning_rate": 1.6032331429396434e-06, + "loss": 0.9061, + "step": 4483 + }, + { + "epoch": 1.92, + "learning_rate": 1.60272035158506e-06, + "loss": 0.7381, + "step": 4484 + }, + { + "epoch": 1.92, + "learning_rate": 1.6022075481688174e-06, + "loss": 0.8252, + "step": 4485 + }, + { + "epoch": 1.92, + "learning_rate": 1.6016947327511317e-06, + "loss": 0.8381, + "step": 4486 + }, + { + "epoch": 1.92, + "learning_rate": 1.6011819053922177e-06, + "loss": 1.2024, + "step": 4487 + }, + { + "epoch": 1.92, + "learning_rate": 1.6006690661522933e-06, + "loss": 1.0154, + "step": 4488 + }, + { + "epoch": 1.92, + "learning_rate": 1.6001562150915764e-06, + "loss": 0.9107, + "step": 4489 + }, + { + "epoch": 1.92, + "learning_rate": 1.599643352270288e-06, + "loss": 0.8228, + "step": 4490 + }, + { + "epoch": 1.92, + "learning_rate": 1.5991304777486496e-06, + "loss": 1.1395, + "step": 4491 + }, + { + "epoch": 1.92, + "learning_rate": 1.5986175915868837e-06, + "loss": 0.7793, + "step": 4492 + }, + { + "epoch": 1.92, + "learning_rate": 1.5981046938452148e-06, + "loss": 0.7047, + "step": 4493 + }, + { + "epoch": 1.92, + "learning_rate": 1.5975917845838683e-06, + "loss": 0.7437, + "step": 4494 + }, + { + "epoch": 1.92, + "learning_rate": 1.5970788638630717e-06, + "loss": 1.0996, + "step": 4495 + }, + { + "epoch": 1.92, + "learning_rate": 1.5965659317430525e-06, + "loss": 0.9332, + "step": 4496 + }, + { + "epoch": 1.92, + "learning_rate": 1.596052988284041e-06, + "loss": 0.7743, + "step": 4497 + }, + { + "epoch": 1.92, + "learning_rate": 1.595540033546268e-06, + "loss": 0.8612, + "step": 4498 + }, + { + "epoch": 1.92, + "learning_rate": 1.5950270675899659e-06, + "loss": 0.7922, + "step": 4499 + }, + { + "epoch": 1.92, + "learning_rate": 1.594514090475368e-06, + "loss": 1.087, + "step": 4500 + }, + { + "epoch": 1.92, + "learning_rate": 1.5940011022627097e-06, + "loss": 1.068, + "step": 4501 + }, + { + "epoch": 1.92, + "learning_rate": 1.5934881030122276e-06, + "loss": 0.8813, + "step": 4502 + }, + { + "epoch": 1.92, + "learning_rate": 1.592975092784158e-06, + "loss": 0.8623, + "step": 4503 + }, + { + "epoch": 1.92, + "learning_rate": 1.5924620716387405e-06, + "loss": 0.951, + "step": 4504 + }, + { + "epoch": 1.92, + "learning_rate": 1.5919490396362154e-06, + "loss": 0.9129, + "step": 4505 + }, + { + "epoch": 1.93, + "learning_rate": 1.591435996836824e-06, + "loss": 1.0726, + "step": 4506 + }, + { + "epoch": 1.93, + "learning_rate": 1.5909229433008085e-06, + "loss": 0.9929, + "step": 4507 + }, + { + "epoch": 1.93, + "learning_rate": 1.5904098790884133e-06, + "loss": 0.9773, + "step": 4508 + }, + { + "epoch": 1.93, + "learning_rate": 1.5898968042598835e-06, + "loss": 1.0138, + "step": 4509 + }, + { + "epoch": 1.93, + "learning_rate": 1.5893837188754649e-06, + "loss": 0.894, + "step": 4510 + }, + { + "epoch": 1.93, + "learning_rate": 1.5888706229954063e-06, + "loss": 1.1898, + "step": 4511 + }, + { + "epoch": 1.93, + "learning_rate": 1.5883575166799559e-06, + "loss": 1.032, + "step": 4512 + }, + { + "epoch": 1.93, + "learning_rate": 1.5878443999893636e-06, + "loss": 0.7723, + "step": 4513 + }, + { + "epoch": 1.93, + "learning_rate": 1.5873312729838813e-06, + "loss": 0.9052, + "step": 4514 + }, + { + "epoch": 1.93, + "learning_rate": 1.5868181357237605e-06, + "loss": 0.7658, + "step": 4515 + }, + { + "epoch": 1.93, + "learning_rate": 1.5863049882692566e-06, + "loss": 0.8084, + "step": 4516 + }, + { + "epoch": 1.93, + "learning_rate": 1.5857918306806233e-06, + "loss": 1.043, + "step": 4517 + }, + { + "epoch": 1.93, + "learning_rate": 1.5852786630181173e-06, + "loss": 1.014, + "step": 4518 + }, + { + "epoch": 1.93, + "learning_rate": 1.5847654853419954e-06, + "loss": 1.0013, + "step": 4519 + }, + { + "epoch": 1.93, + "learning_rate": 1.5842522977125166e-06, + "loss": 1.2798, + "step": 4520 + }, + { + "epoch": 1.93, + "learning_rate": 1.5837391001899407e-06, + "loss": 0.8519, + "step": 4521 + }, + { + "epoch": 1.93, + "learning_rate": 1.5832258928345276e-06, + "loss": 0.8633, + "step": 4522 + }, + { + "epoch": 1.93, + "learning_rate": 1.58271267570654e-06, + "loss": 0.7575, + "step": 4523 + }, + { + "epoch": 1.93, + "learning_rate": 1.5821994488662413e-06, + "loss": 0.9073, + "step": 4524 + }, + { + "epoch": 1.93, + "learning_rate": 1.5816862123738952e-06, + "loss": 1.0406, + "step": 4525 + }, + { + "epoch": 1.93, + "learning_rate": 1.581172966289767e-06, + "loss": 0.9758, + "step": 4526 + }, + { + "epoch": 1.93, + "learning_rate": 1.580659710674124e-06, + "loss": 0.9768, + "step": 4527 + }, + { + "epoch": 1.93, + "learning_rate": 1.580146445587233e-06, + "loss": 1.2008, + "step": 4528 + }, + { + "epoch": 1.94, + "learning_rate": 1.5796331710893635e-06, + "loss": 0.9392, + "step": 4529 + }, + { + "epoch": 1.94, + "learning_rate": 1.5791198872407844e-06, + "loss": 1.06, + "step": 4530 + }, + { + "epoch": 1.94, + "learning_rate": 1.5786065941017676e-06, + "loss": 0.9497, + "step": 4531 + }, + { + "epoch": 1.94, + "learning_rate": 1.5780932917325851e-06, + "loss": 1.1699, + "step": 4532 + }, + { + "epoch": 1.94, + "learning_rate": 1.5775799801935095e-06, + "loss": 0.9844, + "step": 4533 + }, + { + "epoch": 1.94, + "learning_rate": 1.577066659544815e-06, + "loss": 0.8659, + "step": 4534 + }, + { + "epoch": 1.94, + "learning_rate": 1.5765533298467776e-06, + "loss": 1.0615, + "step": 4535 + }, + { + "epoch": 1.94, + "learning_rate": 1.5760399911596728e-06, + "loss": 1.1281, + "step": 4536 + }, + { + "epoch": 1.94, + "learning_rate": 1.575526643543779e-06, + "loss": 1.0093, + "step": 4537 + }, + { + "epoch": 1.94, + "learning_rate": 1.5750132870593732e-06, + "loss": 0.8585, + "step": 4538 + }, + { + "epoch": 1.94, + "learning_rate": 1.5744999217667363e-06, + "loss": 1.1403, + "step": 4539 + }, + { + "epoch": 1.94, + "learning_rate": 1.5739865477261481e-06, + "loss": 0.7443, + "step": 4540 + }, + { + "epoch": 1.94, + "learning_rate": 1.5734731649978905e-06, + "loss": 0.8226, + "step": 4541 + }, + { + "epoch": 1.94, + "learning_rate": 1.5729597736422459e-06, + "loss": 0.8204, + "step": 4542 + }, + { + "epoch": 1.94, + "learning_rate": 1.5724463737194975e-06, + "loss": 0.9813, + "step": 4543 + }, + { + "epoch": 1.94, + "learning_rate": 1.5719329652899307e-06, + "loss": 0.9136, + "step": 4544 + }, + { + "epoch": 1.94, + "learning_rate": 1.57141954841383e-06, + "loss": 0.8116, + "step": 4545 + }, + { + "epoch": 1.94, + "learning_rate": 1.570906123151483e-06, + "loss": 0.9944, + "step": 4546 + }, + { + "epoch": 1.94, + "learning_rate": 1.5703926895631775e-06, + "loss": 0.8622, + "step": 4547 + }, + { + "epoch": 1.94, + "learning_rate": 1.569879247709201e-06, + "loss": 0.9114, + "step": 4548 + }, + { + "epoch": 1.94, + "learning_rate": 1.569365797649843e-06, + "loss": 1.128, + "step": 4549 + }, + { + "epoch": 1.94, + "learning_rate": 1.5688523394453948e-06, + "loss": 0.9162, + "step": 4550 + }, + { + "epoch": 1.94, + "learning_rate": 1.568338873156148e-06, + "loss": 0.7485, + "step": 4551 + }, + { + "epoch": 1.95, + "learning_rate": 1.5678253988423936e-06, + "loss": 0.9247, + "step": 4552 + }, + { + "epoch": 1.95, + "learning_rate": 1.5673119165644262e-06, + "loss": 1.1505, + "step": 4553 + }, + { + "epoch": 1.95, + "learning_rate": 1.5667984263825398e-06, + "loss": 0.8931, + "step": 4554 + }, + { + "epoch": 1.95, + "learning_rate": 1.5662849283570294e-06, + "loss": 1.3159, + "step": 4555 + }, + { + "epoch": 1.95, + "learning_rate": 1.5657714225481908e-06, + "loss": 0.8492, + "step": 4556 + }, + { + "epoch": 1.95, + "learning_rate": 1.565257909016322e-06, + "loss": 1.0976, + "step": 4557 + }, + { + "epoch": 1.95, + "learning_rate": 1.5647443878217202e-06, + "loss": 1.0012, + "step": 4558 + }, + { + "epoch": 1.95, + "learning_rate": 1.5642308590246843e-06, + "loss": 0.7148, + "step": 4559 + }, + { + "epoch": 1.95, + "learning_rate": 1.5637173226855136e-06, + "loss": 1.0258, + "step": 4560 + }, + { + "epoch": 1.95, + "learning_rate": 1.5632037788645096e-06, + "loss": 1.1768, + "step": 4561 + }, + { + "epoch": 1.95, + "learning_rate": 1.5626902276219736e-06, + "loss": 0.8526, + "step": 4562 + }, + { + "epoch": 1.95, + "learning_rate": 1.5621766690182076e-06, + "loss": 0.8511, + "step": 4563 + }, + { + "epoch": 1.95, + "learning_rate": 1.5616631031135148e-06, + "loss": 3.703, + "step": 4564 + }, + { + "epoch": 1.95, + "learning_rate": 1.5611495299681995e-06, + "loss": 1.0795, + "step": 4565 + }, + { + "epoch": 1.95, + "learning_rate": 1.5606359496425668e-06, + "loss": 0.6869, + "step": 4566 + }, + { + "epoch": 1.95, + "learning_rate": 1.560122362196922e-06, + "loss": 0.7196, + "step": 4567 + }, + { + "epoch": 1.95, + "learning_rate": 1.559608767691572e-06, + "loss": 0.9818, + "step": 4568 + }, + { + "epoch": 1.95, + "learning_rate": 1.5590951661868244e-06, + "loss": 0.8406, + "step": 4569 + }, + { + "epoch": 1.95, + "learning_rate": 1.5585815577429873e-06, + "loss": 1.3976, + "step": 4570 + }, + { + "epoch": 1.95, + "learning_rate": 1.5580679424203697e-06, + "loss": 0.8474, + "step": 4571 + }, + { + "epoch": 1.95, + "learning_rate": 1.5575543202792816e-06, + "loss": 1.0778, + "step": 4572 + }, + { + "epoch": 1.95, + "learning_rate": 1.5570406913800332e-06, + "loss": 1.1661, + "step": 4573 + }, + { + "epoch": 1.95, + "learning_rate": 1.556527055782937e-06, + "loss": 0.8903, + "step": 4574 + }, + { + "epoch": 1.96, + "learning_rate": 1.5560134135483042e-06, + "loss": 1.1088, + "step": 4575 + }, + { + "epoch": 1.96, + "learning_rate": 1.555499764736449e-06, + "loss": 0.7511, + "step": 4576 + }, + { + "epoch": 1.96, + "learning_rate": 1.554986109407684e-06, + "loss": 0.9694, + "step": 4577 + }, + { + "epoch": 1.96, + "learning_rate": 1.554472447622324e-06, + "loss": 0.6465, + "step": 4578 + }, + { + "epoch": 1.96, + "learning_rate": 1.5539587794406851e-06, + "loss": 0.9408, + "step": 4579 + }, + { + "epoch": 1.96, + "learning_rate": 1.5534451049230833e-06, + "loss": 0.8825, + "step": 4580 + }, + { + "epoch": 1.96, + "learning_rate": 1.5529314241298347e-06, + "loss": 0.6219, + "step": 4581 + }, + { + "epoch": 1.96, + "learning_rate": 1.552417737121257e-06, + "loss": 0.7481, + "step": 4582 + }, + { + "epoch": 1.96, + "learning_rate": 1.551904043957669e-06, + "loss": 0.858, + "step": 4583 + }, + { + "epoch": 1.96, + "learning_rate": 1.5513903446993896e-06, + "loss": 1.1196, + "step": 4584 + }, + { + "epoch": 1.96, + "learning_rate": 1.5508766394067386e-06, + "loss": 0.6314, + "step": 4585 + }, + { + "epoch": 1.96, + "learning_rate": 1.550362928140036e-06, + "loss": 0.8846, + "step": 4586 + }, + { + "epoch": 1.96, + "learning_rate": 1.5498492109596032e-06, + "loss": 0.7444, + "step": 4587 + }, + { + "epoch": 1.96, + "learning_rate": 1.5493354879257623e-06, + "loss": 0.7289, + "step": 4588 + }, + { + "epoch": 1.96, + "learning_rate": 1.5488217590988353e-06, + "loss": 1.1163, + "step": 4589 + }, + { + "epoch": 1.96, + "learning_rate": 1.548308024539146e-06, + "loss": 0.7406, + "step": 4590 + }, + { + "epoch": 1.96, + "learning_rate": 1.547794284307018e-06, + "loss": 0.8423, + "step": 4591 + }, + { + "epoch": 1.96, + "learning_rate": 1.5472805384627757e-06, + "loss": 1.1685, + "step": 4592 + }, + { + "epoch": 1.96, + "learning_rate": 1.5467667870667446e-06, + "loss": 0.7068, + "step": 4593 + }, + { + "epoch": 1.96, + "learning_rate": 1.5462530301792504e-06, + "loss": 1.1664, + "step": 4594 + }, + { + "epoch": 1.96, + "learning_rate": 1.54573926786062e-06, + "loss": 0.9094, + "step": 4595 + }, + { + "epoch": 1.96, + "learning_rate": 1.5452255001711796e-06, + "loss": 0.9271, + "step": 4596 + }, + { + "epoch": 1.96, + "learning_rate": 1.5447117271712579e-06, + "loss": 0.9044, + "step": 4597 + }, + { + "epoch": 1.97, + "learning_rate": 1.5441979489211828e-06, + "loss": 0.8895, + "step": 4598 + }, + { + "epoch": 1.97, + "learning_rate": 1.5436841654812837e-06, + "loss": 0.9105, + "step": 4599 + }, + { + "epoch": 1.97, + "learning_rate": 1.54317037691189e-06, + "loss": 1.2724, + "step": 4600 + }, + { + "epoch": 1.97, + "learning_rate": 1.5426565832733318e-06, + "loss": 0.8496, + "step": 4601 + }, + { + "epoch": 1.97, + "learning_rate": 1.5421427846259402e-06, + "loss": 1.0195, + "step": 4602 + }, + { + "epoch": 1.97, + "learning_rate": 1.5416289810300466e-06, + "loss": 0.8763, + "step": 4603 + }, + { + "epoch": 1.97, + "learning_rate": 1.5411151725459828e-06, + "loss": 0.92, + "step": 4604 + }, + { + "epoch": 1.97, + "learning_rate": 1.5406013592340812e-06, + "loss": 0.9341, + "step": 4605 + }, + { + "epoch": 1.97, + "learning_rate": 1.5400875411546755e-06, + "loss": 0.8676, + "step": 4606 + }, + { + "epoch": 1.97, + "learning_rate": 1.539573718368099e-06, + "loss": 1.1108, + "step": 4607 + }, + { + "epoch": 1.97, + "learning_rate": 1.5390598909346856e-06, + "loss": 1.1874, + "step": 4608 + }, + { + "epoch": 1.97, + "learning_rate": 1.538546058914771e-06, + "loss": 0.8551, + "step": 4609 + }, + { + "epoch": 1.97, + "learning_rate": 1.5380322223686899e-06, + "loss": 1.2762, + "step": 4610 + }, + { + "epoch": 1.97, + "learning_rate": 1.5375183813567783e-06, + "loss": 1.1831, + "step": 4611 + }, + { + "epoch": 1.97, + "learning_rate": 1.5370045359393723e-06, + "loss": 0.9757, + "step": 4612 + }, + { + "epoch": 1.97, + "learning_rate": 1.5364906861768094e-06, + "loss": 0.7252, + "step": 4613 + }, + { + "epoch": 1.97, + "learning_rate": 1.5359768321294267e-06, + "loss": 1.0112, + "step": 4614 + }, + { + "epoch": 1.97, + "learning_rate": 1.535462973857562e-06, + "loss": 0.9783, + "step": 4615 + }, + { + "epoch": 1.97, + "learning_rate": 1.5349491114215538e-06, + "loss": 0.9189, + "step": 4616 + }, + { + "epoch": 1.97, + "learning_rate": 1.534435244881741e-06, + "loss": 1.0523, + "step": 4617 + }, + { + "epoch": 1.97, + "learning_rate": 1.5339213742984636e-06, + "loss": 0.7817, + "step": 4618 + }, + { + "epoch": 1.97, + "learning_rate": 1.53340749973206e-06, + "loss": 0.7794, + "step": 4619 + }, + { + "epoch": 1.97, + "learning_rate": 1.5328936212428719e-06, + "loss": 1.0236, + "step": 4620 + }, + { + "epoch": 1.97, + "learning_rate": 1.5323797388912397e-06, + "loss": 0.8732, + "step": 4621 + }, + { + "epoch": 1.98, + "learning_rate": 1.5318658527375043e-06, + "loss": 1.0074, + "step": 4622 + }, + { + "epoch": 1.98, + "learning_rate": 1.5313519628420076e-06, + "loss": 0.6695, + "step": 4623 + }, + { + "epoch": 1.98, + "learning_rate": 1.5308380692650916e-06, + "loss": 0.9937, + "step": 4624 + }, + { + "epoch": 1.98, + "learning_rate": 1.5303241720670992e-06, + "loss": 0.8714, + "step": 4625 + }, + { + "epoch": 1.98, + "learning_rate": 1.5298102713083736e-06, + "loss": 0.985, + "step": 4626 + }, + { + "epoch": 1.98, + "learning_rate": 1.5292963670492568e-06, + "loss": 1.0371, + "step": 4627 + }, + { + "epoch": 1.98, + "learning_rate": 1.5287824593500947e-06, + "loss": 1.1347, + "step": 4628 + }, + { + "epoch": 1.98, + "learning_rate": 1.5282685482712298e-06, + "loss": 0.9617, + "step": 4629 + }, + { + "epoch": 1.98, + "learning_rate": 1.5277546338730077e-06, + "loss": 0.7302, + "step": 4630 + }, + { + "epoch": 1.98, + "learning_rate": 1.5272407162157724e-06, + "loss": 7.9383, + "step": 4631 + }, + { + "epoch": 1.98, + "learning_rate": 1.5267267953598705e-06, + "loss": 1.0627, + "step": 4632 + }, + { + "epoch": 1.98, + "learning_rate": 1.5262128713656469e-06, + "loss": 1.0331, + "step": 4633 + }, + { + "epoch": 1.98, + "learning_rate": 1.5256989442934483e-06, + "loss": 0.8131, + "step": 4634 + }, + { + "epoch": 1.98, + "learning_rate": 1.5251850142036205e-06, + "loss": 0.7665, + "step": 4635 + }, + { + "epoch": 1.98, + "learning_rate": 1.5246710811565107e-06, + "loss": 0.6228, + "step": 4636 + }, + { + "epoch": 1.98, + "learning_rate": 1.5241571452124668e-06, + "loss": 0.9659, + "step": 4637 + }, + { + "epoch": 1.98, + "learning_rate": 1.5236432064318353e-06, + "loss": 0.858, + "step": 4638 + }, + { + "epoch": 1.98, + "learning_rate": 1.5231292648749644e-06, + "loss": 1.0135, + "step": 4639 + }, + { + "epoch": 1.98, + "learning_rate": 1.5226153206022024e-06, + "loss": 0.8877, + "step": 4640 + }, + { + "epoch": 1.98, + "eval_loss": 1.255910873413086, + "eval_runtime": 31.8108, + "eval_samples_per_second": 39.138, + "eval_steps_per_second": 19.585, + "step": 4640 + }, + { + "epoch": 1.98, + "learning_rate": 1.522101373673898e-06, + "loss": 0.8008, + "step": 4641 + }, + { + "epoch": 1.98, + "learning_rate": 1.5215874241503993e-06, + "loss": 0.9732, + "step": 4642 + }, + { + "epoch": 1.98, + "learning_rate": 1.521073472092056e-06, + "loss": 0.7095, + "step": 4643 + }, + { + "epoch": 1.98, + "learning_rate": 1.5205595175592178e-06, + "loss": 0.8681, + "step": 4644 + }, + { + "epoch": 1.99, + "learning_rate": 1.5200455606122335e-06, + "loss": 0.6078, + "step": 4645 + }, + { + "epoch": 1.99, + "learning_rate": 1.5195316013114542e-06, + "loss": 0.6003, + "step": 4646 + }, + { + "epoch": 1.99, + "learning_rate": 1.519017639717229e-06, + "loss": 0.9142, + "step": 4647 + }, + { + "epoch": 1.99, + "learning_rate": 1.5185036758899098e-06, + "loss": 0.841, + "step": 4648 + }, + { + "epoch": 1.99, + "learning_rate": 1.5179897098898462e-06, + "loss": 0.7544, + "step": 4649 + }, + { + "epoch": 1.99, + "learning_rate": 1.5174757417773898e-06, + "loss": 0.6131, + "step": 4650 + }, + { + "epoch": 1.99, + "learning_rate": 1.516961771612892e-06, + "loss": 1.014, + "step": 4651 + }, + { + "epoch": 1.99, + "learning_rate": 1.516447799456704e-06, + "loss": 1.1217, + "step": 4652 + }, + { + "epoch": 1.99, + "learning_rate": 1.5159338253691776e-06, + "loss": 0.8867, + "step": 4653 + }, + { + "epoch": 1.99, + "learning_rate": 1.5154198494106655e-06, + "loss": 0.8693, + "step": 4654 + }, + { + "epoch": 1.99, + "learning_rate": 1.5149058716415192e-06, + "loss": 1.2542, + "step": 4655 + }, + { + "epoch": 1.99, + "learning_rate": 1.5143918921220914e-06, + "loss": 1.1674, + "step": 4656 + }, + { + "epoch": 1.99, + "learning_rate": 1.5138779109127345e-06, + "loss": 0.6528, + "step": 4657 + }, + { + "epoch": 1.99, + "learning_rate": 1.5133639280738018e-06, + "loss": 0.9058, + "step": 4658 + }, + { + "epoch": 1.99, + "learning_rate": 1.512849943665646e-06, + "loss": 0.9413, + "step": 4659 + }, + { + "epoch": 1.99, + "learning_rate": 1.5123359577486204e-06, + "loss": 0.8419, + "step": 4660 + }, + { + "epoch": 1.99, + "learning_rate": 1.5118219703830786e-06, + "loss": 0.8303, + "step": 4661 + }, + { + "epoch": 1.99, + "learning_rate": 1.511307981629374e-06, + "loss": 0.9389, + "step": 4662 + }, + { + "epoch": 1.99, + "learning_rate": 1.5107939915478604e-06, + "loss": 0.7419, + "step": 4663 + }, + { + "epoch": 1.99, + "learning_rate": 1.5102800001988914e-06, + "loss": 1.1577, + "step": 4664 + }, + { + "epoch": 1.99, + "learning_rate": 1.5097660076428213e-06, + "loss": 0.7815, + "step": 4665 + }, + { + "epoch": 1.99, + "learning_rate": 1.5092520139400045e-06, + "loss": 0.838, + "step": 4666 + }, + { + "epoch": 1.99, + "learning_rate": 1.508738019150795e-06, + "loss": 0.7284, + "step": 4667 + }, + { + "epoch": 2.0, + "learning_rate": 1.5082240233355473e-06, + "loss": 0.8896, + "step": 4668 + }, + { + "epoch": 2.0, + "learning_rate": 1.5077100265546161e-06, + "loss": 0.7008, + "step": 4669 + }, + { + "epoch": 2.0, + "learning_rate": 1.5071960288683557e-06, + "loss": 0.8702, + "step": 4670 + }, + { + "epoch": 2.0, + "learning_rate": 1.506682030337121e-06, + "loss": 0.9281, + "step": 4671 + }, + { + "epoch": 2.0, + "learning_rate": 1.5061680310212674e-06, + "loss": 0.8457, + "step": 4672 + }, + { + "epoch": 2.0, + "learning_rate": 1.5056540309811493e-06, + "loss": 1.2093, + "step": 4673 + }, + { + "epoch": 2.0, + "learning_rate": 1.5051400302771222e-06, + "loss": 0.7434, + "step": 4674 + }, + { + "epoch": 2.0, + "learning_rate": 1.5046260289695403e-06, + "loss": 1.0835, + "step": 4675 + }, + { + "epoch": 2.0, + "learning_rate": 1.5041120271187602e-06, + "loss": 1.081, + "step": 4676 + }, + { + "epoch": 2.0, + "learning_rate": 1.5035980247851364e-06, + "loss": 0.8337, + "step": 4677 + }, + { + "epoch": 2.0, + "learning_rate": 1.5030840220290241e-06, + "loss": 0.9147, + "step": 4678 + }, + { + "epoch": 2.0, + "learning_rate": 1.5025700189107788e-06, + "loss": 0.544, + "step": 4679 + }, + { + "epoch": 2.0, + "learning_rate": 1.5020560154907563e-06, + "loss": 1.0187, + "step": 4680 + }, + { + "epoch": 2.0, + "learning_rate": 1.5015420118293115e-06, + "loss": 1.1074, + "step": 4681 + }, + { + "epoch": 2.0, + "learning_rate": 1.5010280079868003e-06, + "loss": 0.9933, + "step": 4682 + }, + { + "epoch": 2.0, + "learning_rate": 1.5005140040235779e-06, + "loss": 1.1473, + "step": 4683 + }, + { + "epoch": 2.0, + "learning_rate": 1.5e-06, + "loss": 0.9043, + "step": 4684 + }, + { + "epoch": 2.0, + "learning_rate": 1.4994859959764222e-06, + "loss": 0.8236, + "step": 4685 + }, + { + "epoch": 2.0, + "learning_rate": 1.4989719920132002e-06, + "loss": 0.8711, + "step": 4686 + }, + { + "epoch": 2.0, + "learning_rate": 1.498457988170689e-06, + "loss": 1.0482, + "step": 4687 + }, + { + "epoch": 2.0, + "learning_rate": 1.4979439845092438e-06, + "loss": 0.9504, + "step": 4688 + }, + { + "epoch": 2.0, + "learning_rate": 1.4974299810892212e-06, + "loss": 0.8095, + "step": 4689 + }, + { + "epoch": 2.0, + "learning_rate": 1.496915977970976e-06, + "loss": 0.8402, + "step": 4690 + }, + { + "epoch": 2.01, + "learning_rate": 1.496401975214864e-06, + "loss": 1.2106, + "step": 4691 + }, + { + "epoch": 2.01, + "learning_rate": 1.49588797288124e-06, + "loss": 0.9907, + "step": 4692 + }, + { + "epoch": 2.01, + "learning_rate": 1.4953739710304598e-06, + "loss": 0.8719, + "step": 4693 + }, + { + "epoch": 2.01, + "learning_rate": 1.4948599697228785e-06, + "loss": 1.1572, + "step": 4694 + }, + { + "epoch": 2.01, + "learning_rate": 1.4943459690188514e-06, + "loss": 1.0115, + "step": 4695 + }, + { + "epoch": 2.01, + "learning_rate": 1.493831968978733e-06, + "loss": 0.9906, + "step": 4696 + }, + { + "epoch": 2.01, + "learning_rate": 1.4933179696628793e-06, + "loss": 0.8554, + "step": 4697 + }, + { + "epoch": 2.01, + "learning_rate": 1.4928039711316446e-06, + "loss": 1.1981, + "step": 4698 + }, + { + "epoch": 2.01, + "learning_rate": 1.4922899734453844e-06, + "loss": 1.207, + "step": 4699 + }, + { + "epoch": 2.01, + "learning_rate": 1.4917759766644528e-06, + "loss": 0.9671, + "step": 4700 + }, + { + "epoch": 2.01, + "learning_rate": 1.4912619808492053e-06, + "loss": 0.9816, + "step": 4701 + }, + { + "epoch": 2.01, + "learning_rate": 1.4907479860599957e-06, + "loss": 0.6174, + "step": 4702 + }, + { + "epoch": 2.01, + "learning_rate": 1.4902339923571788e-06, + "loss": 0.8064, + "step": 4703 + }, + { + "epoch": 2.01, + "learning_rate": 1.4897199998011086e-06, + "loss": 0.7253, + "step": 4704 + }, + { + "epoch": 2.01, + "learning_rate": 1.4892060084521399e-06, + "loss": 1.193, + "step": 4705 + }, + { + "epoch": 2.01, + "learning_rate": 1.4886920183706263e-06, + "loss": 0.9326, + "step": 4706 + }, + { + "epoch": 2.01, + "learning_rate": 1.4881780296169216e-06, + "loss": 0.8415, + "step": 4707 + }, + { + "epoch": 2.01, + "learning_rate": 1.4876640422513799e-06, + "loss": 1.1452, + "step": 4708 + }, + { + "epoch": 2.01, + "learning_rate": 1.4871500563343544e-06, + "loss": 0.972, + "step": 4709 + }, + { + "epoch": 2.01, + "learning_rate": 1.486636071926199e-06, + "loss": 0.8715, + "step": 4710 + }, + { + "epoch": 2.01, + "learning_rate": 1.4861220890872656e-06, + "loss": 1.2805, + "step": 4711 + }, + { + "epoch": 2.01, + "learning_rate": 1.4856081078779089e-06, + "loss": 0.9376, + "step": 4712 + }, + { + "epoch": 2.01, + "learning_rate": 1.4850941283584811e-06, + "loss": 1.2452, + "step": 4713 + }, + { + "epoch": 2.02, + "learning_rate": 1.484580150589335e-06, + "loss": 0.9966, + "step": 4714 + }, + { + "epoch": 2.02, + "learning_rate": 1.4840661746308227e-06, + "loss": 0.8539, + "step": 4715 + }, + { + "epoch": 2.02, + "learning_rate": 1.4835522005432966e-06, + "loss": 0.9497, + "step": 4716 + }, + { + "epoch": 2.02, + "learning_rate": 1.4830382283871089e-06, + "loss": 0.6315, + "step": 4717 + }, + { + "epoch": 2.02, + "learning_rate": 1.4825242582226103e-06, + "loss": 0.7576, + "step": 4718 + }, + { + "epoch": 2.02, + "learning_rate": 1.482010290110154e-06, + "loss": 1.0293, + "step": 4719 + }, + { + "epoch": 2.02, + "learning_rate": 1.4814963241100905e-06, + "loss": 0.8833, + "step": 4720 + }, + { + "epoch": 2.02, + "learning_rate": 1.480982360282771e-06, + "loss": 0.9716, + "step": 4721 + }, + { + "epoch": 2.02, + "learning_rate": 1.4804683986885463e-06, + "loss": 0.8145, + "step": 4722 + }, + { + "epoch": 2.02, + "learning_rate": 1.4799544393877668e-06, + "loss": 0.7307, + "step": 4723 + }, + { + "epoch": 2.02, + "learning_rate": 1.4794404824407827e-06, + "loss": 1.1438, + "step": 4724 + }, + { + "epoch": 2.02, + "learning_rate": 1.4789265279079436e-06, + "loss": 0.8173, + "step": 4725 + }, + { + "epoch": 2.02, + "learning_rate": 1.4784125758496006e-06, + "loss": 1.0141, + "step": 4726 + }, + { + "epoch": 2.02, + "learning_rate": 1.4778986263261021e-06, + "loss": 0.9433, + "step": 4727 + }, + { + "epoch": 2.02, + "learning_rate": 1.4773846793977976e-06, + "loss": 1.294, + "step": 4728 + }, + { + "epoch": 2.0, + "learning_rate": 1.4768707351250357e-06, + "loss": 0.9299, + "step": 4729 + }, + { + "epoch": 2.0, + "learning_rate": 1.476356793568165e-06, + "loss": 0.7354, + "step": 4730 + }, + { + "epoch": 2.0, + "learning_rate": 1.4758428547875335e-06, + "loss": 1.3568, + "step": 4731 + }, + { + "epoch": 2.0, + "learning_rate": 1.4753289188434893e-06, + "loss": 0.9606, + "step": 4732 + }, + { + "epoch": 2.0, + "learning_rate": 1.4748149857963796e-06, + "loss": 1.0755, + "step": 4733 + }, + { + "epoch": 2.0, + "learning_rate": 1.474301055706552e-06, + "loss": 1.0903, + "step": 4734 + }, + { + "epoch": 2.0, + "learning_rate": 1.4737871286343532e-06, + "loss": 0.9308, + "step": 4735 + }, + { + "epoch": 2.0, + "learning_rate": 1.4732732046401298e-06, + "loss": 0.7764, + "step": 4736 + }, + { + "epoch": 2.0, + "learning_rate": 1.472759283784228e-06, + "loss": 0.9756, + "step": 4737 + }, + { + "epoch": 2.0, + "learning_rate": 1.4722453661269932e-06, + "loss": 1.1079, + "step": 4738 + }, + { + "epoch": 2.0, + "learning_rate": 1.471731451728771e-06, + "loss": 0.9395, + "step": 4739 + }, + { + "epoch": 2.01, + "learning_rate": 1.4712175406499054e-06, + "loss": 0.7697, + "step": 4740 + }, + { + "epoch": 2.01, + "learning_rate": 1.4707036329507428e-06, + "loss": 0.9847, + "step": 4741 + }, + { + "epoch": 2.01, + "learning_rate": 1.4701897286916269e-06, + "loss": 0.9694, + "step": 4742 + }, + { + "epoch": 2.01, + "learning_rate": 1.4696758279329009e-06, + "loss": 0.6737, + "step": 4743 + }, + { + "epoch": 2.01, + "learning_rate": 1.4691619307349087e-06, + "loss": 0.8308, + "step": 4744 + }, + { + "epoch": 2.01, + "learning_rate": 1.468648037157993e-06, + "loss": 0.9527, + "step": 4745 + }, + { + "epoch": 2.01, + "learning_rate": 1.4681341472624964e-06, + "loss": 1.042, + "step": 4746 + }, + { + "epoch": 2.01, + "learning_rate": 1.467620261108761e-06, + "loss": 0.8136, + "step": 4747 + }, + { + "epoch": 2.01, + "learning_rate": 1.467106378757128e-06, + "loss": 1.0674, + "step": 4748 + }, + { + "epoch": 2.01, + "learning_rate": 1.46659250026794e-06, + "loss": 0.7391, + "step": 4749 + }, + { + "epoch": 2.01, + "learning_rate": 1.4660786257015367e-06, + "loss": 0.9938, + "step": 4750 + }, + { + "epoch": 2.01, + "learning_rate": 1.465564755118259e-06, + "loss": 0.7346, + "step": 4751 + }, + { + "epoch": 2.01, + "learning_rate": 1.4650508885784465e-06, + "loss": 1.1062, + "step": 4752 + }, + { + "epoch": 2.01, + "learning_rate": 1.4645370261424385e-06, + "loss": 0.8752, + "step": 4753 + }, + { + "epoch": 2.01, + "learning_rate": 1.4640231678705738e-06, + "loss": 1.3382, + "step": 4754 + }, + { + "epoch": 2.01, + "learning_rate": 1.4635093138231905e-06, + "loss": 1.1704, + "step": 4755 + }, + { + "epoch": 2.01, + "learning_rate": 1.4629954640606277e-06, + "loss": 1.0616, + "step": 4756 + }, + { + "epoch": 2.01, + "learning_rate": 1.462481618643222e-06, + "loss": 0.9337, + "step": 4757 + }, + { + "epoch": 2.01, + "learning_rate": 1.4619677776313104e-06, + "loss": 0.6388, + "step": 4758 + }, + { + "epoch": 2.01, + "learning_rate": 1.4614539410852293e-06, + "loss": 0.7149, + "step": 4759 + }, + { + "epoch": 2.01, + "learning_rate": 1.4609401090653145e-06, + "loss": 0.9816, + "step": 4760 + }, + { + "epoch": 2.01, + "learning_rate": 1.4604262816319016e-06, + "loss": 0.5603, + "step": 4761 + }, + { + "epoch": 2.01, + "learning_rate": 1.459912458845325e-06, + "loss": 1.1593, + "step": 4762 + }, + { + "epoch": 2.02, + "learning_rate": 1.4593986407659188e-06, + "loss": 1.1483, + "step": 4763 + }, + { + "epoch": 2.02, + "learning_rate": 1.4588848274540175e-06, + "loss": 0.8038, + "step": 4764 + }, + { + "epoch": 2.02, + "learning_rate": 1.458371018969954e-06, + "loss": 1.1833, + "step": 4765 + }, + { + "epoch": 2.02, + "learning_rate": 1.45785721537406e-06, + "loss": 1.0259, + "step": 4766 + }, + { + "epoch": 2.02, + "learning_rate": 1.4573434167266687e-06, + "loss": 1.1682, + "step": 4767 + }, + { + "epoch": 2.02, + "learning_rate": 1.4568296230881104e-06, + "loss": 1.0218, + "step": 4768 + }, + { + "epoch": 2.02, + "learning_rate": 1.4563158345187164e-06, + "loss": 0.8673, + "step": 4769 + }, + { + "epoch": 2.02, + "learning_rate": 1.455802051078817e-06, + "loss": 1.2174, + "step": 4770 + }, + { + "epoch": 2.02, + "learning_rate": 1.4552882728287422e-06, + "loss": 1.2969, + "step": 4771 + }, + { + "epoch": 2.02, + "learning_rate": 1.4547744998288206e-06, + "loss": 0.9089, + "step": 4772 + }, + { + "epoch": 2.02, + "learning_rate": 1.4542607321393804e-06, + "loss": 0.9523, + "step": 4773 + }, + { + "epoch": 2.02, + "learning_rate": 1.4537469698207497e-06, + "loss": 0.9873, + "step": 4774 + }, + { + "epoch": 2.02, + "learning_rate": 1.453233212933256e-06, + "loss": 0.9733, + "step": 4775 + }, + { + "epoch": 2.02, + "learning_rate": 1.4527194615372248e-06, + "loss": 1.1091, + "step": 4776 + }, + { + "epoch": 2.02, + "learning_rate": 1.4522057156929826e-06, + "loss": 0.6263, + "step": 4777 + }, + { + "epoch": 2.02, + "learning_rate": 1.4516919754608541e-06, + "loss": 1.0642, + "step": 4778 + }, + { + "epoch": 2.02, + "learning_rate": 1.4511782409011647e-06, + "loss": 0.5704, + "step": 4779 + }, + { + "epoch": 2.02, + "learning_rate": 1.450664512074238e-06, + "loss": 1.2524, + "step": 4780 + }, + { + "epoch": 2.02, + "learning_rate": 1.4501507890403971e-06, + "loss": 0.9645, + "step": 4781 + }, + { + "epoch": 2.02, + "learning_rate": 1.4496370718599644e-06, + "loss": 0.9009, + "step": 4782 + }, + { + "epoch": 2.02, + "learning_rate": 1.449123360593262e-06, + "loss": 0.8337, + "step": 4783 + }, + { + "epoch": 2.02, + "learning_rate": 1.448609655300611e-06, + "loss": 0.8766, + "step": 4784 + }, + { + "epoch": 2.02, + "learning_rate": 1.4480959560423308e-06, + "loss": 1.1721, + "step": 4785 + }, + { + "epoch": 2.03, + "learning_rate": 1.4475822628787428e-06, + "loss": 1.1699, + "step": 4786 + }, + { + "epoch": 2.03, + "learning_rate": 1.4470685758701655e-06, + "loss": 1.0389, + "step": 4787 + }, + { + "epoch": 2.03, + "learning_rate": 1.4465548950769172e-06, + "loss": 1.2502, + "step": 4788 + }, + { + "epoch": 2.03, + "learning_rate": 1.446041220559315e-06, + "loss": 1.0301, + "step": 4789 + }, + { + "epoch": 2.03, + "learning_rate": 1.445527552377676e-06, + "loss": 0.8824, + "step": 4790 + }, + { + "epoch": 2.03, + "learning_rate": 1.4450138905923167e-06, + "loss": 0.8305, + "step": 4791 + }, + { + "epoch": 2.03, + "learning_rate": 1.4445002352635516e-06, + "loss": 0.7667, + "step": 4792 + }, + { + "epoch": 2.03, + "learning_rate": 1.4439865864516959e-06, + "loss": 0.7625, + "step": 4793 + }, + { + "epoch": 2.03, + "learning_rate": 1.4434729442170633e-06, + "loss": 1.1713, + "step": 4794 + }, + { + "epoch": 2.03, + "learning_rate": 1.442959308619967e-06, + "loss": 0.9361, + "step": 4795 + }, + { + "epoch": 2.03, + "learning_rate": 1.4424456797207187e-06, + "loss": 1.0225, + "step": 4796 + }, + { + "epoch": 2.03, + "learning_rate": 1.4419320575796306e-06, + "loss": 0.8923, + "step": 4797 + }, + { + "epoch": 2.03, + "learning_rate": 1.441418442257013e-06, + "loss": 1.0582, + "step": 4798 + }, + { + "epoch": 2.03, + "learning_rate": 1.4409048338131759e-06, + "loss": 0.621, + "step": 4799 + }, + { + "epoch": 2.03, + "learning_rate": 1.440391232308428e-06, + "loss": 1.2133, + "step": 4800 + }, + { + "epoch": 2.03, + "learning_rate": 1.4398776378030781e-06, + "loss": 1.0545, + "step": 4801 + }, + { + "epoch": 2.03, + "learning_rate": 1.4393640503574335e-06, + "loss": 1.1722, + "step": 4802 + }, + { + "epoch": 2.03, + "learning_rate": 1.4388504700318008e-06, + "loss": 0.9456, + "step": 4803 + }, + { + "epoch": 2.03, + "learning_rate": 1.4383368968864857e-06, + "loss": 1.0316, + "step": 4804 + }, + { + "epoch": 2.03, + "learning_rate": 1.437823330981793e-06, + "loss": 0.9451, + "step": 4805 + }, + { + "epoch": 2.03, + "learning_rate": 1.437309772378027e-06, + "loss": 0.9699, + "step": 4806 + }, + { + "epoch": 2.03, + "learning_rate": 1.4367962211354902e-06, + "loss": 1.0364, + "step": 4807 + }, + { + "epoch": 2.03, + "learning_rate": 1.4362826773144865e-06, + "loss": 1.2889, + "step": 4808 + }, + { + "epoch": 2.03, + "learning_rate": 1.435769140975316e-06, + "loss": 0.8348, + "step": 4809 + }, + { + "epoch": 2.04, + "learning_rate": 1.4352556121782803e-06, + "loss": 0.9759, + "step": 4810 + }, + { + "epoch": 2.04, + "learning_rate": 1.4347420909836784e-06, + "loss": 0.677, + "step": 4811 + }, + { + "epoch": 2.04, + "learning_rate": 1.4342285774518095e-06, + "loss": 0.8926, + "step": 4812 + }, + { + "epoch": 2.04, + "learning_rate": 1.4337150716429711e-06, + "loss": 0.7531, + "step": 4813 + }, + { + "epoch": 2.04, + "learning_rate": 1.4332015736174607e-06, + "loss": 1.0326, + "step": 4814 + }, + { + "epoch": 2.04, + "learning_rate": 1.4326880834355737e-06, + "loss": 0.5433, + "step": 4815 + }, + { + "epoch": 2.04, + "learning_rate": 1.4321746011576065e-06, + "loss": 0.9658, + "step": 4816 + }, + { + "epoch": 2.04, + "learning_rate": 1.4316611268438526e-06, + "loss": 1.3546, + "step": 4817 + }, + { + "epoch": 2.04, + "learning_rate": 1.4311476605546054e-06, + "loss": 1.1655, + "step": 4818 + }, + { + "epoch": 2.04, + "learning_rate": 1.4306342023501572e-06, + "loss": 0.8827, + "step": 4819 + }, + { + "epoch": 2.04, + "learning_rate": 1.4301207522908e-06, + "loss": 0.7959, + "step": 4820 + }, + { + "epoch": 2.04, + "learning_rate": 1.4296073104368235e-06, + "loss": 0.9194, + "step": 4821 + }, + { + "epoch": 2.04, + "learning_rate": 1.429093876848517e-06, + "loss": 1.163, + "step": 4822 + }, + { + "epoch": 2.04, + "learning_rate": 1.4285804515861702e-06, + "loss": 0.7149, + "step": 4823 + }, + { + "epoch": 2.04, + "learning_rate": 1.4280670347100696e-06, + "loss": 0.9857, + "step": 4824 + }, + { + "epoch": 2.04, + "learning_rate": 1.4275536262805028e-06, + "loss": 0.9923, + "step": 4825 + }, + { + "epoch": 2.04, + "learning_rate": 1.4270402263577546e-06, + "loss": 1.0568, + "step": 4826 + }, + { + "epoch": 2.04, + "learning_rate": 1.4265268350021098e-06, + "loss": 0.7516, + "step": 4827 + }, + { + "epoch": 2.04, + "learning_rate": 1.4260134522738522e-06, + "loss": 1.038, + "step": 4828 + }, + { + "epoch": 2.04, + "learning_rate": 1.4255000782332642e-06, + "loss": 1.0564, + "step": 4829 + }, + { + "epoch": 2.04, + "learning_rate": 1.4249867129406267e-06, + "loss": 1.0834, + "step": 4830 + }, + { + "epoch": 2.04, + "learning_rate": 1.4244733564562215e-06, + "loss": 0.8406, + "step": 4831 + }, + { + "epoch": 2.04, + "learning_rate": 1.4239600088403272e-06, + "loss": 0.9333, + "step": 4832 + }, + { + "epoch": 2.05, + "learning_rate": 1.4234466701532229e-06, + "loss": 0.7902, + "step": 4833 + }, + { + "epoch": 2.05, + "learning_rate": 1.4229333404551851e-06, + "loss": 1.4, + "step": 4834 + }, + { + "epoch": 2.05, + "learning_rate": 1.422420019806491e-06, + "loss": 0.9976, + "step": 4835 + }, + { + "epoch": 2.05, + "learning_rate": 1.4219067082674156e-06, + "loss": 0.8845, + "step": 4836 + }, + { + "epoch": 2.05, + "learning_rate": 1.421393405898232e-06, + "loss": 1.3702, + "step": 4837 + }, + { + "epoch": 2.05, + "learning_rate": 1.4208801127592154e-06, + "loss": 1.2271, + "step": 4838 + }, + { + "epoch": 2.05, + "learning_rate": 1.4203668289106368e-06, + "loss": 1.0921, + "step": 4839 + }, + { + "epoch": 2.05, + "learning_rate": 1.4198535544127672e-06, + "loss": 1.0574, + "step": 4840 + }, + { + "epoch": 2.05, + "learning_rate": 1.4193402893258765e-06, + "loss": 0.9153, + "step": 4841 + }, + { + "epoch": 2.05, + "learning_rate": 1.4188270337102333e-06, + "loss": 0.8642, + "step": 4842 + }, + { + "epoch": 2.05, + "learning_rate": 1.4183137876261053e-06, + "loss": 1.0519, + "step": 4843 + }, + { + "epoch": 2.05, + "learning_rate": 1.4178005511337588e-06, + "loss": 1.0209, + "step": 4844 + }, + { + "epoch": 2.05, + "learning_rate": 1.41728732429346e-06, + "loss": 0.8919, + "step": 4845 + }, + { + "epoch": 2.05, + "learning_rate": 1.4167741071654725e-06, + "loss": 0.9406, + "step": 4846 + }, + { + "epoch": 2.05, + "learning_rate": 1.4162608998100598e-06, + "loss": 1.1556, + "step": 4847 + }, + { + "epoch": 2.05, + "learning_rate": 1.4157477022874837e-06, + "loss": 0.6858, + "step": 4848 + }, + { + "epoch": 2.05, + "learning_rate": 1.4152345146580051e-06, + "loss": 0.8049, + "step": 4849 + }, + { + "epoch": 2.05, + "learning_rate": 1.4147213369818832e-06, + "loss": 0.7999, + "step": 4850 + }, + { + "epoch": 2.05, + "learning_rate": 1.4142081693193772e-06, + "loss": 0.8283, + "step": 4851 + }, + { + "epoch": 2.05, + "learning_rate": 1.4136950117307435e-06, + "loss": 0.9008, + "step": 4852 + }, + { + "epoch": 2.05, + "learning_rate": 1.4131818642762392e-06, + "loss": 0.6911, + "step": 4853 + }, + { + "epoch": 2.05, + "learning_rate": 1.4126687270161192e-06, + "loss": 1.1784, + "step": 4854 + }, + { + "epoch": 2.05, + "learning_rate": 1.4121556000106365e-06, + "loss": 0.8888, + "step": 4855 + }, + { + "epoch": 2.06, + "learning_rate": 1.4116424833200444e-06, + "loss": 1.0246, + "step": 4856 + }, + { + "epoch": 2.06, + "learning_rate": 1.411129377004594e-06, + "loss": 1.0708, + "step": 4857 + }, + { + "epoch": 2.06, + "learning_rate": 1.4106162811245352e-06, + "loss": 0.716, + "step": 4858 + }, + { + "epoch": 2.06, + "learning_rate": 1.4101031957401167e-06, + "loss": 0.7072, + "step": 4859 + }, + { + "epoch": 2.06, + "learning_rate": 1.4095901209115868e-06, + "loss": 0.7883, + "step": 4860 + }, + { + "epoch": 2.06, + "learning_rate": 1.4090770566991916e-06, + "loss": 0.7575, + "step": 4861 + }, + { + "epoch": 2.06, + "learning_rate": 1.4085640031631764e-06, + "loss": 0.6909, + "step": 4862 + }, + { + "epoch": 2.06, + "learning_rate": 1.4080509603637849e-06, + "loss": 0.9289, + "step": 4863 + }, + { + "epoch": 2.06, + "learning_rate": 1.4075379283612596e-06, + "loss": 1.2823, + "step": 4864 + }, + { + "epoch": 2.06, + "learning_rate": 1.4070249072158425e-06, + "loss": 0.8557, + "step": 4865 + }, + { + "epoch": 2.06, + "learning_rate": 1.4065118969877731e-06, + "loss": 1.1499, + "step": 4866 + }, + { + "epoch": 2.06, + "learning_rate": 1.40599889773729e-06, + "loss": 0.9489, + "step": 4867 + }, + { + "epoch": 2.06, + "learning_rate": 1.4054859095246318e-06, + "loss": 1.0556, + "step": 4868 + }, + { + "epoch": 2.06, + "learning_rate": 1.4049729324100342e-06, + "loss": 0.984, + "step": 4869 + }, + { + "epoch": 2.06, + "learning_rate": 1.4044599664537322e-06, + "loss": 1.1518, + "step": 4870 + }, + { + "epoch": 2.06, + "learning_rate": 1.4039470117159594e-06, + "loss": 0.7441, + "step": 4871 + }, + { + "epoch": 2.06, + "learning_rate": 1.403434068256948e-06, + "loss": 0.8745, + "step": 4872 + }, + { + "epoch": 2.06, + "learning_rate": 1.402921136136929e-06, + "loss": 0.9623, + "step": 4873 + }, + { + "epoch": 2.06, + "learning_rate": 1.4024082154161318e-06, + "loss": 0.8139, + "step": 4874 + }, + { + "epoch": 2.06, + "learning_rate": 1.4018953061547853e-06, + "loss": 1.0812, + "step": 4875 + }, + { + "epoch": 2.06, + "learning_rate": 1.4013824084131164e-06, + "loss": 0.8983, + "step": 4876 + }, + { + "epoch": 2.06, + "learning_rate": 1.4008695222513507e-06, + "loss": 0.7613, + "step": 4877 + }, + { + "epoch": 2.06, + "learning_rate": 1.4003566477297123e-06, + "loss": 0.7784, + "step": 4878 + }, + { + "epoch": 2.07, + "learning_rate": 1.399843784908424e-06, + "loss": 0.9661, + "step": 4879 + }, + { + "epoch": 2.07, + "learning_rate": 1.3993309338477076e-06, + "loss": 0.8766, + "step": 4880 + }, + { + "epoch": 2.07, + "learning_rate": 1.3988180946077828e-06, + "loss": 0.8037, + "step": 4881 + }, + { + "epoch": 2.07, + "learning_rate": 1.3983052672488684e-06, + "loss": 0.5523, + "step": 4882 + }, + { + "epoch": 2.07, + "learning_rate": 1.3977924518311822e-06, + "loss": 1.1756, + "step": 4883 + }, + { + "epoch": 2.07, + "learning_rate": 1.3972796484149403e-06, + "loss": 0.9986, + "step": 4884 + }, + { + "epoch": 2.07, + "learning_rate": 1.396766857060357e-06, + "loss": 0.9296, + "step": 4885 + }, + { + "epoch": 2.07, + "learning_rate": 1.3962540778276453e-06, + "loss": 0.834, + "step": 4886 + }, + { + "epoch": 2.07, + "learning_rate": 1.395741310777017e-06, + "loss": 0.8235, + "step": 4887 + }, + { + "epoch": 2.07, + "learning_rate": 1.395228555968682e-06, + "loss": 1.1326, + "step": 4888 + }, + { + "epoch": 2.07, + "learning_rate": 1.3947158134628496e-06, + "loss": 0.9195, + "step": 4889 + }, + { + "epoch": 2.07, + "learning_rate": 1.3942030833197272e-06, + "loss": 0.6525, + "step": 4890 + }, + { + "epoch": 2.07, + "learning_rate": 1.3936903655995206e-06, + "loss": 4.525, + "step": 4891 + }, + { + "epoch": 2.07, + "learning_rate": 1.3931776603624343e-06, + "loss": 0.9381, + "step": 4892 + }, + { + "epoch": 2.07, + "learning_rate": 1.3926649676686714e-06, + "loss": 0.976, + "step": 4893 + }, + { + "epoch": 2.07, + "learning_rate": 1.3921522875784335e-06, + "loss": 0.7991, + "step": 4894 + }, + { + "epoch": 2.07, + "learning_rate": 1.3916396201519203e-06, + "loss": 0.4908, + "step": 4895 + }, + { + "epoch": 2.07, + "learning_rate": 1.3911269654493306e-06, + "loss": 0.7898, + "step": 4896 + }, + { + "epoch": 2.07, + "learning_rate": 1.3906143235308614e-06, + "loss": 0.9188, + "step": 4897 + }, + { + "epoch": 2.07, + "learning_rate": 1.3901016944567088e-06, + "loss": 0.9859, + "step": 4898 + }, + { + "epoch": 2.07, + "learning_rate": 1.3895890782870664e-06, + "loss": 1.0025, + "step": 4899 + }, + { + "epoch": 2.07, + "learning_rate": 1.3890764750821271e-06, + "loss": 0.8727, + "step": 4900 + }, + { + "epoch": 2.07, + "learning_rate": 1.3885638849020814e-06, + "loss": 0.868, + "step": 4901 + }, + { + "epoch": 2.08, + "learning_rate": 1.3880513078071192e-06, + "loss": 1.2056, + "step": 4902 + }, + { + "epoch": 2.08, + "learning_rate": 1.3875387438574283e-06, + "loss": 0.9903, + "step": 4903 + }, + { + "epoch": 2.08, + "learning_rate": 1.3870261931131946e-06, + "loss": 0.9121, + "step": 4904 + }, + { + "epoch": 2.08, + "learning_rate": 1.3865136556346044e-06, + "loss": 0.6984, + "step": 4905 + }, + { + "epoch": 2.08, + "learning_rate": 1.38600113148184e-06, + "loss": 0.7799, + "step": 4906 + }, + { + "epoch": 2.08, + "learning_rate": 1.3854886207150833e-06, + "loss": 0.9722, + "step": 4907 + }, + { + "epoch": 2.08, + "learning_rate": 1.3849761233945149e-06, + "loss": 1.1209, + "step": 4908 + }, + { + "epoch": 2.08, + "learning_rate": 1.3844636395803126e-06, + "loss": 1.1307, + "step": 4909 + }, + { + "epoch": 2.08, + "learning_rate": 1.3839511693326542e-06, + "loss": 0.7169, + "step": 4910 + }, + { + "epoch": 2.08, + "learning_rate": 1.3834387127117141e-06, + "loss": 0.7417, + "step": 4911 + }, + { + "epoch": 2.08, + "learning_rate": 1.3829262697776675e-06, + "loss": 1.0939, + "step": 4912 + }, + { + "epoch": 2.08, + "learning_rate": 1.382413840590686e-06, + "loss": 0.7724, + "step": 4913 + }, + { + "epoch": 2.08, + "learning_rate": 1.3819014252109403e-06, + "loss": 0.9854, + "step": 4914 + }, + { + "epoch": 2.08, + "learning_rate": 1.3813890236985988e-06, + "loss": 0.9919, + "step": 4915 + }, + { + "epoch": 2.08, + "learning_rate": 1.3808766361138295e-06, + "loss": 0.9861, + "step": 4916 + }, + { + "epoch": 2.08, + "learning_rate": 1.3803642625167982e-06, + "loss": 0.8914, + "step": 4917 + }, + { + "epoch": 2.08, + "learning_rate": 1.3798519029676684e-06, + "loss": 0.9158, + "step": 4918 + }, + { + "epoch": 2.08, + "learning_rate": 1.3793395575266026e-06, + "loss": 0.9443, + "step": 4919 + }, + { + "epoch": 2.08, + "learning_rate": 1.3788272262537623e-06, + "loss": 1.0811, + "step": 4920 + }, + { + "epoch": 2.08, + "learning_rate": 1.3783149092093058e-06, + "loss": 1.3089, + "step": 4921 + }, + { + "epoch": 2.08, + "learning_rate": 1.3778026064533908e-06, + "loss": 0.6777, + "step": 4922 + }, + { + "epoch": 2.08, + "learning_rate": 1.3772903180461734e-06, + "loss": 0.5768, + "step": 4923 + }, + { + "epoch": 2.08, + "learning_rate": 1.3767780440478075e-06, + "loss": 1.0745, + "step": 4924 + }, + { + "epoch": 2.09, + "learning_rate": 1.3762657845184452e-06, + "loss": 1.0912, + "step": 4925 + }, + { + "epoch": 2.09, + "learning_rate": 1.3757535395182371e-06, + "loss": 1.0922, + "step": 4926 + }, + { + "epoch": 2.09, + "learning_rate": 1.3752413091073326e-06, + "loss": 0.6692, + "step": 4927 + }, + { + "epoch": 2.09, + "learning_rate": 1.374729093345879e-06, + "loss": 1.1593, + "step": 4928 + }, + { + "epoch": 2.09, + "learning_rate": 1.3742168922940216e-06, + "loss": 1.0019, + "step": 4929 + }, + { + "epoch": 2.09, + "learning_rate": 1.3737047060119042e-06, + "loss": 0.8119, + "step": 4930 + }, + { + "epoch": 2.09, + "learning_rate": 1.3731925345596692e-06, + "loss": 1.1369, + "step": 4931 + }, + { + "epoch": 2.09, + "learning_rate": 1.3726803779974565e-06, + "loss": 1.0798, + "step": 4932 + }, + { + "epoch": 2.09, + "learning_rate": 1.372168236385405e-06, + "loss": 0.8162, + "step": 4933 + }, + { + "epoch": 2.09, + "learning_rate": 1.3716561097836508e-06, + "loss": 0.6469, + "step": 4934 + }, + { + "epoch": 2.09, + "learning_rate": 1.3711439982523303e-06, + "loss": 1.0969, + "step": 4935 + }, + { + "epoch": 2.09, + "learning_rate": 1.3706319018515758e-06, + "loss": 1.0706, + "step": 4936 + }, + { + "epoch": 2.09, + "learning_rate": 1.3701198206415194e-06, + "loss": 0.9633, + "step": 4937 + }, + { + "epoch": 2.09, + "learning_rate": 1.3696077546822907e-06, + "loss": 0.9333, + "step": 4938 + }, + { + "epoch": 2.09, + "learning_rate": 1.3690957040340173e-06, + "loss": 0.6104, + "step": 4939 + }, + { + "epoch": 2.09, + "learning_rate": 1.3685836687568258e-06, + "loss": 1.0161, + "step": 4940 + }, + { + "epoch": 2.09, + "learning_rate": 1.3680716489108397e-06, + "loss": 0.8222, + "step": 4941 + }, + { + "epoch": 2.09, + "learning_rate": 1.3675596445561828e-06, + "loss": 0.8591, + "step": 4942 + }, + { + "epoch": 2.09, + "learning_rate": 1.3670476557529752e-06, + "loss": 1.0169, + "step": 4943 + }, + { + "epoch": 2.09, + "learning_rate": 1.3665356825613357e-06, + "loss": 1.1299, + "step": 4944 + }, + { + "epoch": 2.09, + "learning_rate": 1.3660237250413817e-06, + "loss": 1.1539, + "step": 4945 + }, + { + "epoch": 2.09, + "learning_rate": 1.365511783253228e-06, + "loss": 1.1139, + "step": 4946 + }, + { + "epoch": 2.09, + "learning_rate": 1.3649998572569886e-06, + "loss": 0.905, + "step": 4947 + }, + { + "epoch": 2.09, + "learning_rate": 1.3644879471127742e-06, + "loss": 1.0048, + "step": 4948 + }, + { + "epoch": 2.1, + "learning_rate": 1.3639760528806944e-06, + "loss": 1.0199, + "step": 4949 + }, + { + "epoch": 2.1, + "learning_rate": 1.363464174620858e-06, + "loss": 1.0005, + "step": 4950 + }, + { + "epoch": 2.1, + "learning_rate": 1.3629523123933705e-06, + "loss": 1.0854, + "step": 4951 + }, + { + "epoch": 2.1, + "learning_rate": 1.3624404662583356e-06, + "loss": 0.867, + "step": 4952 + }, + { + "epoch": 2.1, + "learning_rate": 1.3619286362758557e-06, + "loss": 0.8117, + "step": 4953 + }, + { + "epoch": 2.1, + "learning_rate": 1.361416822506031e-06, + "loss": 0.8809, + "step": 4954 + }, + { + "epoch": 2.1, + "learning_rate": 1.36090502500896e-06, + "loss": 0.8877, + "step": 4955 + }, + { + "epoch": 2.1, + "learning_rate": 1.3603932438447384e-06, + "loss": 0.7033, + "step": 4956 + }, + { + "epoch": 2.1, + "learning_rate": 1.3598814790734616e-06, + "loss": 0.734, + "step": 4957 + }, + { + "epoch": 2.1, + "learning_rate": 1.3593697307552221e-06, + "loss": 1.104, + "step": 4958 + }, + { + "epoch": 2.1, + "learning_rate": 1.3588579989501102e-06, + "loss": 0.9694, + "step": 4959 + }, + { + "epoch": 2.1, + "learning_rate": 1.3583462837182147e-06, + "loss": 1.1275, + "step": 4960 + }, + { + "epoch": 2.1, + "learning_rate": 1.3578345851196226e-06, + "loss": 0.6905, + "step": 4961 + }, + { + "epoch": 2.1, + "learning_rate": 1.3573229032144184e-06, + "loss": 0.9673, + "step": 4962 + }, + { + "epoch": 2.1, + "learning_rate": 1.356811238062685e-06, + "loss": 0.8317, + "step": 4963 + }, + { + "epoch": 2.1, + "learning_rate": 1.356299589724503e-06, + "loss": 0.8765, + "step": 4964 + }, + { + "epoch": 2.1, + "learning_rate": 1.3557879582599522e-06, + "loss": 1.106, + "step": 4965 + }, + { + "epoch": 2.1, + "learning_rate": 1.355276343729109e-06, + "loss": 0.9165, + "step": 4966 + }, + { + "epoch": 2.1, + "learning_rate": 1.3547647461920486e-06, + "loss": 0.7364, + "step": 4967 + }, + { + "epoch": 2.1, + "learning_rate": 1.3542531657088435e-06, + "loss": 1.2841, + "step": 4968 + }, + { + "epoch": 2.1, + "learning_rate": 1.353741602339565e-06, + "loss": 0.864, + "step": 4969 + }, + { + "epoch": 2.1, + "learning_rate": 1.3532300561442819e-06, + "loss": 1.1829, + "step": 4970 + }, + { + "epoch": 2.1, + "learning_rate": 1.3527185271830605e-06, + "loss": 0.6971, + "step": 4971 + }, + { + "epoch": 2.11, + "learning_rate": 1.352207015515967e-06, + "loss": 0.8143, + "step": 4972 + }, + { + "epoch": 2.11, + "learning_rate": 1.3516955212030635e-06, + "loss": 0.9369, + "step": 4973 + }, + { + "epoch": 2.11, + "learning_rate": 1.3511840443044112e-06, + "loss": 0.9989, + "step": 4974 + }, + { + "epoch": 2.11, + "learning_rate": 1.3506725848800686e-06, + "loss": 1.2327, + "step": 4975 + }, + { + "epoch": 2.11, + "learning_rate": 1.3501611429900924e-06, + "loss": 1.0217, + "step": 4976 + }, + { + "epoch": 2.11, + "learning_rate": 1.3496497186945373e-06, + "loss": 1.1602, + "step": 4977 + }, + { + "epoch": 2.11, + "learning_rate": 1.3491383120534554e-06, + "loss": 0.8961, + "step": 4978 + }, + { + "epoch": 2.11, + "learning_rate": 1.3486269231268985e-06, + "loss": 0.6816, + "step": 4979 + }, + { + "epoch": 2.11, + "learning_rate": 1.3481155519749144e-06, + "loss": 0.9985, + "step": 4980 + }, + { + "epoch": 2.11, + "learning_rate": 1.3476041986575494e-06, + "loss": 1.1164, + "step": 4981 + }, + { + "epoch": 2.11, + "learning_rate": 1.3470928632348478e-06, + "loss": 0.9392, + "step": 4982 + }, + { + "epoch": 2.11, + "learning_rate": 1.3465815457668516e-06, + "loss": 1.3598, + "step": 4983 + }, + { + "epoch": 2.11, + "learning_rate": 1.3460702463136012e-06, + "loss": 0.7446, + "step": 4984 + }, + { + "epoch": 2.11, + "learning_rate": 1.3455589649351342e-06, + "loss": 1.3451, + "step": 4985 + }, + { + "epoch": 2.11, + "learning_rate": 1.3450477016914865e-06, + "loss": 1.0962, + "step": 4986 + }, + { + "epoch": 2.11, + "learning_rate": 1.3445364566426923e-06, + "loss": 0.8267, + "step": 4987 + }, + { + "epoch": 2.11, + "learning_rate": 1.3440252298487828e-06, + "loss": 0.9075, + "step": 4988 + }, + { + "epoch": 2.11, + "learning_rate": 1.3435140213697871e-06, + "loss": 1.0633, + "step": 4989 + }, + { + "epoch": 2.11, + "learning_rate": 1.343002831265733e-06, + "loss": 1.0466, + "step": 4990 + }, + { + "epoch": 2.11, + "learning_rate": 1.3424916595966455e-06, + "loss": 0.689, + "step": 4991 + }, + { + "epoch": 2.11, + "learning_rate": 1.3419805064225473e-06, + "loss": 0.6899, + "step": 4992 + }, + { + "epoch": 2.11, + "learning_rate": 1.3414693718034586e-06, + "loss": 1.0334, + "step": 4993 + }, + { + "epoch": 2.11, + "learning_rate": 1.3409582557993994e-06, + "loss": 0.996, + "step": 4994 + }, + { + "epoch": 2.12, + "learning_rate": 1.3404471584703854e-06, + "loss": 0.8663, + "step": 4995 + }, + { + "epoch": 2.12, + "learning_rate": 1.339936079876431e-06, + "loss": 0.7192, + "step": 4996 + }, + { + "epoch": 2.12, + "learning_rate": 1.3394250200775477e-06, + "loss": 0.8029, + "step": 4997 + }, + { + "epoch": 2.12, + "learning_rate": 1.3389139791337459e-06, + "loss": 1.1833, + "step": 4998 + }, + { + "epoch": 2.12, + "learning_rate": 1.338402957105033e-06, + "loss": 1.1582, + "step": 4999 + }, + { + "epoch": 2.12, + "learning_rate": 1.337891954051414e-06, + "loss": 0.9414, + "step": 5000 + }, + { + "epoch": 2.12, + "learning_rate": 1.3373809700328919e-06, + "loss": 1.0018, + "step": 5001 + }, + { + "epoch": 2.12, + "learning_rate": 1.3368700051094688e-06, + "loss": 0.7182, + "step": 5002 + }, + { + "epoch": 2.12, + "learning_rate": 1.3363590593411426e-06, + "loss": 1.2684, + "step": 5003 + }, + { + "epoch": 2.12, + "learning_rate": 1.33584813278791e-06, + "loss": 0.8968, + "step": 5004 + }, + { + "epoch": 2.12, + "learning_rate": 1.3353372255097645e-06, + "loss": 0.7109, + "step": 5005 + }, + { + "epoch": 2.12, + "learning_rate": 1.3348263375666985e-06, + "loss": 1.1712, + "step": 5006 + }, + { + "epoch": 2.12, + "learning_rate": 1.334315469018702e-06, + "loss": 0.8192, + "step": 5007 + }, + { + "epoch": 2.12, + "learning_rate": 1.3338046199257608e-06, + "loss": 1.044, + "step": 5008 + }, + { + "epoch": 2.12, + "learning_rate": 1.333293790347862e-06, + "loss": 0.9414, + "step": 5009 + }, + { + "epoch": 2.12, + "learning_rate": 1.3327829803449875e-06, + "loss": 0.9695, + "step": 5010 + }, + { + "epoch": 2.12, + "learning_rate": 1.3322721899771175e-06, + "loss": 0.6701, + "step": 5011 + }, + { + "epoch": 2.12, + "learning_rate": 1.3317614193042305e-06, + "loss": 1.3061, + "step": 5012 + }, + { + "epoch": 2.12, + "learning_rate": 1.3312506683863023e-06, + "loss": 0.9289, + "step": 5013 + }, + { + "epoch": 2.12, + "learning_rate": 1.3307399372833066e-06, + "loss": 0.6164, + "step": 5014 + }, + { + "epoch": 2.12, + "learning_rate": 1.3302292260552144e-06, + "loss": 0.8431, + "step": 5015 + }, + { + "epoch": 2.12, + "learning_rate": 1.329718534761994e-06, + "loss": 0.915, + "step": 5016 + }, + { + "epoch": 2.12, + "learning_rate": 1.329207863463613e-06, + "loss": 0.8227, + "step": 5017 + }, + { + "epoch": 2.13, + "learning_rate": 1.3286972122200352e-06, + "loss": 0.9067, + "step": 5018 + }, + { + "epoch": 2.13, + "learning_rate": 1.3281865810912225e-06, + "loss": 0.7254, + "step": 5019 + }, + { + "epoch": 2.13, + "learning_rate": 1.3276759701371339e-06, + "loss": 1.2454, + "step": 5020 + }, + { + "epoch": 2.13, + "learning_rate": 1.3271653794177269e-06, + "loss": 0.7986, + "step": 5021 + }, + { + "epoch": 2.13, + "learning_rate": 1.3266548089929563e-06, + "loss": 0.7706, + "step": 5022 + }, + { + "epoch": 2.13, + "learning_rate": 1.3261442589227741e-06, + "loss": 1.0138, + "step": 5023 + }, + { + "epoch": 2.13, + "learning_rate": 1.3256337292671308e-06, + "loss": 0.4142, + "step": 5024 + }, + { + "epoch": 2.13, + "learning_rate": 1.3251232200859736e-06, + "loss": 1.0367, + "step": 5025 + }, + { + "epoch": 2.13, + "learning_rate": 1.324612731439248e-06, + "loss": 0.9717, + "step": 5026 + }, + { + "epoch": 2.13, + "learning_rate": 1.324102263386896e-06, + "loss": 0.675, + "step": 5027 + }, + { + "epoch": 2.13, + "learning_rate": 1.3235918159888586e-06, + "loss": 1.0115, + "step": 5028 + }, + { + "epoch": 2.13, + "learning_rate": 1.3230813893050733e-06, + "loss": 1.0298, + "step": 5029 + }, + { + "epoch": 2.13, + "learning_rate": 1.322570983395476e-06, + "loss": 1.0714, + "step": 5030 + }, + { + "epoch": 2.13, + "learning_rate": 1.3220605983199987e-06, + "loss": 0.7385, + "step": 5031 + }, + { + "epoch": 2.13, + "learning_rate": 1.3215502341385734e-06, + "loss": 0.8049, + "step": 5032 + }, + { + "epoch": 2.13, + "learning_rate": 1.3210398909111275e-06, + "loss": 0.9971, + "step": 5033 + }, + { + "epoch": 2.13, + "learning_rate": 1.3205295686975871e-06, + "loss": 1.1559, + "step": 5034 + }, + { + "epoch": 2.13, + "learning_rate": 1.3200192675578747e-06, + "loss": 1.1394, + "step": 5035 + }, + { + "epoch": 2.13, + "learning_rate": 1.3195089875519115e-06, + "loss": 0.5379, + "step": 5036 + }, + { + "epoch": 2.13, + "learning_rate": 1.3189987287396157e-06, + "loss": 1.2706, + "step": 5037 + }, + { + "epoch": 2.13, + "learning_rate": 1.3184884911809021e-06, + "loss": 1.0968, + "step": 5038 + }, + { + "epoch": 2.13, + "learning_rate": 1.3179782749356858e-06, + "loss": 1.1031, + "step": 5039 + }, + { + "epoch": 2.13, + "learning_rate": 1.3174680800638764e-06, + "loss": 0.9128, + "step": 5040 + }, + { + "epoch": 2.14, + "learning_rate": 1.3169579066253822e-06, + "loss": 0.7973, + "step": 5041 + }, + { + "epoch": 2.14, + "learning_rate": 1.3164477546801095e-06, + "loss": 0.9056, + "step": 5042 + }, + { + "epoch": 2.14, + "learning_rate": 1.3159376242879606e-06, + "loss": 0.751, + "step": 5043 + }, + { + "epoch": 2.14, + "learning_rate": 1.3154275155088372e-06, + "loss": 1.1284, + "step": 5044 + }, + { + "epoch": 2.14, + "learning_rate": 1.3149174284026363e-06, + "loss": 1.1953, + "step": 5045 + }, + { + "epoch": 2.14, + "learning_rate": 1.3144073630292544e-06, + "loss": 0.8494, + "step": 5046 + }, + { + "epoch": 2.14, + "learning_rate": 1.3138973194485837e-06, + "loss": 0.8173, + "step": 5047 + }, + { + "epoch": 2.14, + "learning_rate": 1.3133872977205158e-06, + "loss": 0.7158, + "step": 5048 + }, + { + "epoch": 2.14, + "learning_rate": 1.312877297904938e-06, + "loss": 1.03, + "step": 5049 + }, + { + "epoch": 2.14, + "learning_rate": 1.3123673200617357e-06, + "loss": 0.9833, + "step": 5050 + }, + { + "epoch": 2.14, + "learning_rate": 1.3118573642507919e-06, + "loss": 0.8674, + "step": 5051 + }, + { + "epoch": 2.14, + "learning_rate": 1.3113474305319862e-06, + "loss": 1.0072, + "step": 5052 + }, + { + "epoch": 2.14, + "learning_rate": 1.3108375189651961e-06, + "loss": 0.9005, + "step": 5053 + }, + { + "epoch": 2.14, + "learning_rate": 1.3103276296102975e-06, + "loss": 1.116, + "step": 5054 + }, + { + "epoch": 2.14, + "learning_rate": 1.3098177625271624e-06, + "loss": 0.9757, + "step": 5055 + }, + { + "epoch": 2.14, + "learning_rate": 1.3093079177756602e-06, + "loss": 0.9509, + "step": 5056 + }, + { + "epoch": 2.14, + "learning_rate": 1.3087980954156582e-06, + "loss": 0.8378, + "step": 5057 + }, + { + "epoch": 2.14, + "learning_rate": 1.3082882955070212e-06, + "loss": 0.9119, + "step": 5058 + }, + { + "epoch": 2.14, + "learning_rate": 1.3077785181096107e-06, + "loss": 1.0209, + "step": 5059 + }, + { + "epoch": 2.14, + "learning_rate": 1.3072687632832853e-06, + "loss": 0.8976, + "step": 5060 + }, + { + "epoch": 2.14, + "learning_rate": 1.3067590310879032e-06, + "loss": 1.1455, + "step": 5061 + }, + { + "epoch": 2.14, + "learning_rate": 1.3062493215833175e-06, + "loss": 0.6794, + "step": 5062 + }, + { + "epoch": 2.14, + "learning_rate": 1.3057396348293793e-06, + "loss": 0.728, + "step": 5063 + }, + { + "epoch": 2.15, + "learning_rate": 1.3052299708859373e-06, + "loss": 0.8789, + "step": 5064 + }, + { + "epoch": 2.15, + "learning_rate": 1.3047203298128375e-06, + "loss": 0.8877, + "step": 5065 + }, + { + "epoch": 2.15, + "learning_rate": 1.304210711669923e-06, + "loss": 0.9553, + "step": 5066 + }, + { + "epoch": 2.15, + "learning_rate": 1.3037011165170343e-06, + "loss": 0.8033, + "step": 5067 + }, + { + "epoch": 2.15, + "learning_rate": 1.3031915444140086e-06, + "loss": 0.6761, + "step": 5068 + }, + { + "epoch": 2.15, + "learning_rate": 1.3026819954206824e-06, + "loss": 1.0453, + "step": 5069 + }, + { + "epoch": 2.15, + "learning_rate": 1.3021724695968874e-06, + "loss": 1.0234, + "step": 5070 + }, + { + "epoch": 2.15, + "learning_rate": 1.3016629670024534e-06, + "loss": 1.053, + "step": 5071 + }, + { + "epoch": 2.15, + "learning_rate": 1.301153487697207e-06, + "loss": 0.7365, + "step": 5072 + }, + { + "epoch": 2.15, + "learning_rate": 1.300644031740973e-06, + "loss": 0.9073, + "step": 5073 + }, + { + "epoch": 2.15, + "learning_rate": 1.3001345991935723e-06, + "loss": 1.2211, + "step": 5074 + }, + { + "epoch": 2.15, + "learning_rate": 1.2996251901148235e-06, + "loss": 0.923, + "step": 5075 + }, + { + "epoch": 2.15, + "learning_rate": 1.2991158045645434e-06, + "loss": 1.1176, + "step": 5076 + }, + { + "epoch": 2.15, + "learning_rate": 1.298606442602545e-06, + "loss": 1.1306, + "step": 5077 + }, + { + "epoch": 2.15, + "learning_rate": 1.2980971042886383e-06, + "loss": 1.0646, + "step": 5078 + }, + { + "epoch": 2.15, + "learning_rate": 1.2975877896826314e-06, + "loss": 1.2412, + "step": 5079 + }, + { + "epoch": 2.15, + "learning_rate": 1.2970784988443288e-06, + "loss": 1.0118, + "step": 5080 + }, + { + "epoch": 2.15, + "learning_rate": 1.2965692318335332e-06, + "loss": 1.0385, + "step": 5081 + }, + { + "epoch": 2.15, + "learning_rate": 1.296059988710043e-06, + "loss": 0.8514, + "step": 5082 + }, + { + "epoch": 2.15, + "learning_rate": 1.295550769533655e-06, + "loss": 0.8339, + "step": 5083 + }, + { + "epoch": 2.15, + "learning_rate": 1.2950415743641635e-06, + "loss": 0.7652, + "step": 5084 + }, + { + "epoch": 2.15, + "learning_rate": 1.294532403261359e-06, + "loss": 0.9372, + "step": 5085 + }, + { + "epoch": 2.15, + "learning_rate": 1.2940232562850292e-06, + "loss": 0.8763, + "step": 5086 + }, + { + "epoch": 2.15, + "learning_rate": 1.2935141334949598e-06, + "loss": 0.8192, + "step": 5087 + }, + { + "epoch": 2.16, + "learning_rate": 1.2930050349509328e-06, + "loss": 1.0884, + "step": 5088 + }, + { + "epoch": 2.16, + "learning_rate": 1.292495960712728e-06, + "loss": 1.021, + "step": 5089 + }, + { + "epoch": 2.16, + "learning_rate": 1.2919869108401208e-06, + "loss": 0.9407, + "step": 5090 + }, + { + "epoch": 2.16, + "learning_rate": 1.291477885392887e-06, + "loss": 0.8128, + "step": 5091 + }, + { + "epoch": 2.16, + "learning_rate": 1.2909688844307967e-06, + "loss": 1.022, + "step": 5092 + }, + { + "epoch": 2.16, + "learning_rate": 1.2904599080136178e-06, + "loss": 0.8021, + "step": 5093 + }, + { + "epoch": 2.16, + "learning_rate": 1.2899509562011156e-06, + "loss": 0.5246, + "step": 5094 + }, + { + "epoch": 2.16, + "learning_rate": 1.2894420290530524e-06, + "loss": 0.6505, + "step": 5095 + }, + { + "epoch": 2.16, + "learning_rate": 1.2889331266291875e-06, + "loss": 1.0124, + "step": 5096 + }, + { + "epoch": 2.16, + "learning_rate": 1.2884242489892772e-06, + "loss": 0.474, + "step": 5097 + }, + { + "epoch": 2.16, + "learning_rate": 1.287915396193075e-06, + "loss": 0.5359, + "step": 5098 + }, + { + "epoch": 2.16, + "learning_rate": 1.2874065683003323e-06, + "loss": 0.912, + "step": 5099 + }, + { + "epoch": 2.16, + "learning_rate": 1.2868977653707963e-06, + "loss": 0.9761, + "step": 5100 + }, + { + "epoch": 2.16, + "learning_rate": 1.2863889874642122e-06, + "loss": 1.1104, + "step": 5101 + }, + { + "epoch": 2.16, + "learning_rate": 1.2858802346403213e-06, + "loss": 0.5643, + "step": 5102 + }, + { + "epoch": 2.16, + "learning_rate": 1.2853715069588629e-06, + "loss": 0.8707, + "step": 5103 + }, + { + "epoch": 2.16, + "learning_rate": 1.2848628044795726e-06, + "loss": 0.9085, + "step": 5104 + }, + { + "epoch": 2.16, + "learning_rate": 1.2843541272621832e-06, + "loss": 1.2015, + "step": 5105 + }, + { + "epoch": 2.16, + "learning_rate": 1.2838454753664258e-06, + "loss": 0.7874, + "step": 5106 + }, + { + "epoch": 2.16, + "learning_rate": 1.283336848852027e-06, + "loss": 0.8102, + "step": 5107 + }, + { + "epoch": 2.16, + "learning_rate": 1.2828282477787105e-06, + "loss": 0.6175, + "step": 5108 + }, + { + "epoch": 2.16, + "learning_rate": 1.2823196722061979e-06, + "loss": 1.1287, + "step": 5109 + }, + { + "epoch": 2.16, + "learning_rate": 1.281811122194207e-06, + "loss": 1.1952, + "step": 5110 + }, + { + "epoch": 2.17, + "learning_rate": 1.2813025978024529e-06, + "loss": 0.7769, + "step": 5111 + }, + { + "epoch": 2.17, + "learning_rate": 1.2807940990906473e-06, + "loss": 1.0825, + "step": 5112 + }, + { + "epoch": 2.17, + "learning_rate": 1.2802856261185001e-06, + "loss": 1.1316, + "step": 5113 + }, + { + "epoch": 2.17, + "learning_rate": 1.2797771789457172e-06, + "loss": 0.9168, + "step": 5114 + }, + { + "epoch": 2.17, + "learning_rate": 1.2792687576320014e-06, + "loss": 0.6459, + "step": 5115 + }, + { + "epoch": 2.17, + "learning_rate": 1.2787603622370525e-06, + "loss": 0.8956, + "step": 5116 + }, + { + "epoch": 2.17, + "learning_rate": 1.2782519928205679e-06, + "loss": 0.7492, + "step": 5117 + }, + { + "epoch": 2.17, + "learning_rate": 1.2777436494422409e-06, + "loss": 1.0082, + "step": 5118 + }, + { + "epoch": 2.17, + "learning_rate": 1.2772353321617628e-06, + "loss": 1.0413, + "step": 5119 + }, + { + "epoch": 2.17, + "learning_rate": 1.2767270410388214e-06, + "loss": 0.8379, + "step": 5120 + }, + { + "epoch": 2.17, + "learning_rate": 1.2762187761331012e-06, + "loss": 0.6841, + "step": 5121 + }, + { + "epoch": 2.17, + "learning_rate": 1.2757105375042842e-06, + "loss": 0.9415, + "step": 5122 + }, + { + "epoch": 2.17, + "learning_rate": 1.2752023252120483e-06, + "loss": 0.8955, + "step": 5123 + }, + { + "epoch": 2.17, + "learning_rate": 1.2746941393160698e-06, + "loss": 0.8463, + "step": 5124 + }, + { + "epoch": 2.17, + "learning_rate": 1.2741859798760204e-06, + "loss": 1.2037, + "step": 5125 + }, + { + "epoch": 2.17, + "learning_rate": 1.2736778469515694e-06, + "loss": 1.2971, + "step": 5126 + }, + { + "epoch": 2.17, + "learning_rate": 1.2731697406023824e-06, + "loss": 0.9764, + "step": 5127 + }, + { + "epoch": 2.17, + "learning_rate": 1.2726616608881235e-06, + "loss": 0.6562, + "step": 5128 + }, + { + "epoch": 2.17, + "learning_rate": 1.2721536078684525e-06, + "loss": 0.7698, + "step": 5129 + }, + { + "epoch": 2.17, + "learning_rate": 1.2716455816030255e-06, + "loss": 0.8674, + "step": 5130 + }, + { + "epoch": 2.17, + "learning_rate": 1.2711375821514967e-06, + "loss": 1.0503, + "step": 5131 + }, + { + "epoch": 2.17, + "learning_rate": 1.270629609573516e-06, + "loss": 0.8876, + "step": 5132 + }, + { + "epoch": 2.17, + "learning_rate": 1.2701216639287308e-06, + "loss": 0.8905, + "step": 5133 + }, + { + "epoch": 2.18, + "learning_rate": 1.2696137452767855e-06, + "loss": 0.8391, + "step": 5134 + }, + { + "epoch": 2.18, + "learning_rate": 1.2691058536773204e-06, + "loss": 1.1749, + "step": 5135 + }, + { + "epoch": 2.18, + "learning_rate": 1.2685979891899745e-06, + "loss": 0.6852, + "step": 5136 + }, + { + "epoch": 2.18, + "learning_rate": 1.2680901518743817e-06, + "loss": 1.2155, + "step": 5137 + }, + { + "epoch": 2.18, + "learning_rate": 1.2675823417901733e-06, + "loss": 0.669, + "step": 5138 + }, + { + "epoch": 2.18, + "learning_rate": 1.2670745589969778e-06, + "loss": 0.9381, + "step": 5139 + }, + { + "epoch": 2.18, + "learning_rate": 1.2665668035544202e-06, + "loss": 0.9538, + "step": 5140 + }, + { + "epoch": 2.18, + "learning_rate": 1.266059075522122e-06, + "loss": 1.0348, + "step": 5141 + }, + { + "epoch": 2.18, + "learning_rate": 1.2655513749597019e-06, + "loss": 1.3019, + "step": 5142 + }, + { + "epoch": 2.18, + "learning_rate": 1.2650437019267756e-06, + "loss": 1.4363, + "step": 5143 + }, + { + "epoch": 2.18, + "learning_rate": 1.264536056482955e-06, + "loss": 1.1112, + "step": 5144 + }, + { + "epoch": 2.18, + "learning_rate": 1.264028438687849e-06, + "loss": 0.9141, + "step": 5145 + }, + { + "epoch": 2.18, + "learning_rate": 1.2635208486010627e-06, + "loss": 1.0754, + "step": 5146 + }, + { + "epoch": 2.18, + "learning_rate": 1.2630132862821993e-06, + "loss": 0.9186, + "step": 5147 + }, + { + "epoch": 2.18, + "learning_rate": 1.2625057517908577e-06, + "loss": 1.1649, + "step": 5148 + }, + { + "epoch": 2.18, + "learning_rate": 1.261998245186634e-06, + "loss": 1.0225, + "step": 5149 + }, + { + "epoch": 2.18, + "learning_rate": 1.2614907665291198e-06, + "loss": 0.9245, + "step": 5150 + }, + { + "epoch": 2.18, + "learning_rate": 1.2609833158779054e-06, + "loss": 0.7669, + "step": 5151 + }, + { + "epoch": 2.18, + "learning_rate": 1.2604758932925768e-06, + "loss": 1.1806, + "step": 5152 + }, + { + "epoch": 2.18, + "learning_rate": 1.259968498832716e-06, + "loss": 0.6936, + "step": 5153 + }, + { + "epoch": 2.18, + "learning_rate": 1.2594611325579033e-06, + "loss": 0.8462, + "step": 5154 + }, + { + "epoch": 2.18, + "learning_rate": 1.258953794527714e-06, + "loss": 1.0719, + "step": 5155 + }, + { + "epoch": 2.18, + "learning_rate": 1.2584464848017215e-06, + "loss": 0.7496, + "step": 5156 + }, + { + "epoch": 2.19, + "learning_rate": 1.2579392034394941e-06, + "loss": 0.9445, + "step": 5157 + }, + { + "epoch": 2.19, + "learning_rate": 1.2574319505005997e-06, + "loss": 1.0566, + "step": 5158 + }, + { + "epoch": 2.19, + "learning_rate": 1.2569247260446e-06, + "loss": 0.87, + "step": 5159 + }, + { + "epoch": 2.19, + "learning_rate": 1.2564175301310549e-06, + "loss": 1.1433, + "step": 5160 + }, + { + "epoch": 2.19, + "learning_rate": 1.25591036281952e-06, + "loss": 0.8836, + "step": 5161 + }, + { + "epoch": 2.19, + "learning_rate": 1.2554032241695486e-06, + "loss": 0.7654, + "step": 5162 + }, + { + "epoch": 2.19, + "learning_rate": 1.2548961142406898e-06, + "loss": 1.0668, + "step": 5163 + }, + { + "epoch": 2.19, + "learning_rate": 1.254389033092489e-06, + "loss": 1.1037, + "step": 5164 + }, + { + "epoch": 2.19, + "learning_rate": 1.2538819807844902e-06, + "loss": 1.0945, + "step": 5165 + }, + { + "epoch": 2.19, + "learning_rate": 1.2533749573762317e-06, + "loss": 1.1307, + "step": 5166 + }, + { + "epoch": 2.19, + "learning_rate": 1.2528679629272497e-06, + "loss": 0.8638, + "step": 5167 + }, + { + "epoch": 2.19, + "learning_rate": 1.2523609974970764e-06, + "loss": 0.8069, + "step": 5168 + }, + { + "epoch": 2.19, + "learning_rate": 1.2518540611452409e-06, + "loss": 1.0769, + "step": 5169 + }, + { + "epoch": 2.19, + "learning_rate": 1.2513471539312687e-06, + "loss": 1.1874, + "step": 5170 + }, + { + "epoch": 2.19, + "learning_rate": 1.2508402759146823e-06, + "loss": 1.0229, + "step": 5171 + }, + { + "epoch": 2.19, + "learning_rate": 1.2503334271550002e-06, + "loss": 0.8218, + "step": 5172 + }, + { + "epoch": 2.19, + "learning_rate": 1.2498266077117376e-06, + "loss": 0.817, + "step": 5173 + }, + { + "epoch": 2.19, + "learning_rate": 1.2493198176444073e-06, + "loss": 1.3177, + "step": 5174 + }, + { + "epoch": 2.19, + "learning_rate": 1.2488130570125169e-06, + "loss": 0.8488, + "step": 5175 + }, + { + "epoch": 2.19, + "learning_rate": 1.2483063258755715e-06, + "loss": 1.0535, + "step": 5176 + }, + { + "epoch": 2.19, + "learning_rate": 1.247799624293073e-06, + "loss": 0.9755, + "step": 5177 + }, + { + "epoch": 2.19, + "learning_rate": 1.2472929523245192e-06, + "loss": 1.0674, + "step": 5178 + }, + { + "epoch": 2.19, + "learning_rate": 1.2467863100294043e-06, + "loss": 0.8505, + "step": 5179 + }, + { + "epoch": 2.2, + "learning_rate": 1.24627969746722e-06, + "loss": 0.6414, + "step": 5180 + }, + { + "epoch": 2.2, + "learning_rate": 1.2457731146974538e-06, + "loss": 1.0963, + "step": 5181 + }, + { + "epoch": 2.2, + "learning_rate": 1.24526656177959e-06, + "loss": 0.87, + "step": 5182 + }, + { + "epoch": 2.2, + "learning_rate": 1.2447600387731084e-06, + "loss": 0.6958, + "step": 5183 + }, + { + "epoch": 2.2, + "learning_rate": 1.2442535457374866e-06, + "loss": 0.9776, + "step": 5184 + }, + { + "epoch": 2.2, + "learning_rate": 1.2437470827321983e-06, + "loss": 0.9333, + "step": 5185 + }, + { + "epoch": 2.2, + "learning_rate": 1.2432406498167134e-06, + "loss": 0.7893, + "step": 5186 + }, + { + "epoch": 2.2, + "learning_rate": 1.2427342470504978e-06, + "loss": 0.9548, + "step": 5187 + }, + { + "epoch": 2.2, + "learning_rate": 1.2422278744930158e-06, + "loss": 0.7414, + "step": 5188 + }, + { + "epoch": 2.2, + "learning_rate": 1.241721532203726e-06, + "loss": 1.1615, + "step": 5189 + }, + { + "epoch": 2.2, + "learning_rate": 1.2412152202420842e-06, + "loss": 0.9259, + "step": 5190 + }, + { + "epoch": 2.2, + "learning_rate": 1.2407089386675431e-06, + "loss": 0.8901, + "step": 5191 + }, + { + "epoch": 2.2, + "learning_rate": 1.2402026875395512e-06, + "loss": 0.8066, + "step": 5192 + }, + { + "epoch": 2.2, + "learning_rate": 1.2396964669175536e-06, + "loss": 1.0259, + "step": 5193 + }, + { + "epoch": 2.2, + "learning_rate": 1.2391902768609914e-06, + "loss": 1.0984, + "step": 5194 + }, + { + "epoch": 2.2, + "learning_rate": 1.2386841174293038e-06, + "loss": 1.1064, + "step": 5195 + }, + { + "epoch": 2.2, + "learning_rate": 1.2381779886819245e-06, + "loss": 0.8569, + "step": 5196 + }, + { + "epoch": 2.2, + "learning_rate": 1.2376718906782844e-06, + "loss": 0.9969, + "step": 5197 + }, + { + "epoch": 2.2, + "learning_rate": 1.2371658234778106e-06, + "loss": 1.2771, + "step": 5198 + }, + { + "epoch": 2.2, + "learning_rate": 1.2366597871399268e-06, + "loss": 0.7568, + "step": 5199 + }, + { + "epoch": 2.2, + "learning_rate": 1.2361537817240527e-06, + "loss": 0.9683, + "step": 5200 + }, + { + "epoch": 2.2, + "learning_rate": 1.235647807289605e-06, + "loss": 0.9355, + "step": 5201 + }, + { + "epoch": 2.2, + "learning_rate": 1.235141863895995e-06, + "loss": 0.9439, + "step": 5202 + }, + { + "epoch": 2.21, + "learning_rate": 1.234635951602634e-06, + "loss": 0.7679, + "step": 5203 + }, + { + "epoch": 2.21, + "learning_rate": 1.2341300704689261e-06, + "loss": 1.2125, + "step": 5204 + }, + { + "epoch": 2.21, + "learning_rate": 1.233624220554273e-06, + "loss": 1.0356, + "step": 5205 + }, + { + "epoch": 2.21, + "learning_rate": 1.2331184019180732e-06, + "loss": 1.2578, + "step": 5206 + }, + { + "epoch": 2.21, + "learning_rate": 1.2326126146197207e-06, + "loss": 0.8292, + "step": 5207 + }, + { + "epoch": 2.21, + "learning_rate": 1.2321068587186064e-06, + "loss": 1.059, + "step": 5208 + }, + { + "epoch": 2.21, + "learning_rate": 1.2316011342741167e-06, + "loss": 0.9682, + "step": 5209 + }, + { + "epoch": 2.21, + "learning_rate": 1.2310954413456356e-06, + "loss": 1.0102, + "step": 5210 + }, + { + "epoch": 2.21, + "learning_rate": 1.2305897799925428e-06, + "loss": 0.8268, + "step": 5211 + }, + { + "epoch": 2.21, + "learning_rate": 1.230084150274214e-06, + "loss": 0.7343, + "step": 5212 + }, + { + "epoch": 2.21, + "learning_rate": 1.2295785522500212e-06, + "loss": 1.3721, + "step": 5213 + }, + { + "epoch": 2.21, + "learning_rate": 1.2290729859793333e-06, + "loss": 1.0903, + "step": 5214 + }, + { + "epoch": 2.21, + "learning_rate": 1.2285674515215145e-06, + "loss": 1.1619, + "step": 5215 + }, + { + "epoch": 2.21, + "learning_rate": 1.2280619489359265e-06, + "loss": 0.9392, + "step": 5216 + }, + { + "epoch": 2.21, + "learning_rate": 1.227556478281925e-06, + "loss": 0.9834, + "step": 5217 + }, + { + "epoch": 2.21, + "learning_rate": 1.2270510396188656e-06, + "loss": 1.0274, + "step": 5218 + }, + { + "epoch": 2.21, + "learning_rate": 1.2265456330060972e-06, + "loss": 0.6784, + "step": 5219 + }, + { + "epoch": 2.21, + "learning_rate": 1.2260402585029658e-06, + "loss": 0.8498, + "step": 5220 + }, + { + "epoch": 2.21, + "eval_loss": 1.2553883790969849, + "eval_runtime": 32.0755, + "eval_samples_per_second": 38.815, + "eval_steps_per_second": 19.423, + "step": 5220 + }, + { + "epoch": 2.21, + "learning_rate": 1.2255349161688134e-06, + "loss": 0.7775, + "step": 5221 + }, + { + "epoch": 2.21, + "learning_rate": 1.2250296060629785e-06, + "loss": 1.0985, + "step": 5222 + }, + { + "epoch": 2.21, + "learning_rate": 1.2245243282447962e-06, + "loss": 0.8488, + "step": 5223 + }, + { + "epoch": 2.21, + "learning_rate": 1.2240190827735965e-06, + "loss": 0.8491, + "step": 5224 + }, + { + "epoch": 2.21, + "learning_rate": 1.2235138697087074e-06, + "loss": 0.7469, + "step": 5225 + }, + { + "epoch": 2.21, + "learning_rate": 1.2230086891094517e-06, + "loss": 1.036, + "step": 5226 + }, + { + "epoch": 2.22, + "learning_rate": 1.2225035410351493e-06, + "loss": 1.0114, + "step": 5227 + }, + { + "epoch": 2.22, + "learning_rate": 1.2219984255451157e-06, + "loss": 0.9593, + "step": 5228 + }, + { + "epoch": 2.22, + "learning_rate": 1.2214933426986623e-06, + "loss": 0.7037, + "step": 5229 + }, + { + "epoch": 2.22, + "learning_rate": 1.2209882925550972e-06, + "loss": 0.9488, + "step": 5230 + }, + { + "epoch": 2.22, + "learning_rate": 1.2204832751737243e-06, + "loss": 0.8032, + "step": 5231 + }, + { + "epoch": 2.22, + "learning_rate": 1.2199782906138448e-06, + "loss": 0.965, + "step": 5232 + }, + { + "epoch": 2.22, + "learning_rate": 1.2194733389347546e-06, + "loss": 1.1399, + "step": 5233 + }, + { + "epoch": 2.22, + "learning_rate": 1.2189684201957465e-06, + "loss": 0.6262, + "step": 5234 + }, + { + "epoch": 2.22, + "learning_rate": 1.2184635344561085e-06, + "loss": 1.3945, + "step": 5235 + }, + { + "epoch": 2.22, + "learning_rate": 1.2179586817751264e-06, + "loss": 0.7874, + "step": 5236 + }, + { + "epoch": 2.22, + "learning_rate": 1.2174538622120804e-06, + "loss": 1.0088, + "step": 5237 + }, + { + "epoch": 2.22, + "learning_rate": 1.216949075826248e-06, + "loss": 1.2195, + "step": 5238 + }, + { + "epoch": 2.22, + "learning_rate": 1.2164443226769019e-06, + "loss": 0.8252, + "step": 5239 + }, + { + "epoch": 2.22, + "learning_rate": 1.2159396028233122e-06, + "loss": 1.0914, + "step": 5240 + }, + { + "epoch": 2.22, + "learning_rate": 1.2154349163247436e-06, + "loss": 0.9154, + "step": 5241 + }, + { + "epoch": 2.22, + "learning_rate": 1.2149302632404578e-06, + "loss": 0.9713, + "step": 5242 + }, + { + "epoch": 2.22, + "learning_rate": 1.214425643629712e-06, + "loss": 0.7903, + "step": 5243 + }, + { + "epoch": 2.22, + "learning_rate": 1.2139210575517598e-06, + "loss": 0.8949, + "step": 5244 + }, + { + "epoch": 2.22, + "learning_rate": 1.2134165050658512e-06, + "loss": 0.9112, + "step": 5245 + }, + { + "epoch": 2.22, + "learning_rate": 1.2129119862312319e-06, + "loss": 0.9781, + "step": 5246 + }, + { + "epoch": 2.22, + "learning_rate": 1.2124075011071436e-06, + "loss": 0.8175, + "step": 5247 + }, + { + "epoch": 2.22, + "learning_rate": 1.211903049752824e-06, + "loss": 1.0336, + "step": 5248 + }, + { + "epoch": 2.22, + "learning_rate": 1.211398632227507e-06, + "loss": 0.8713, + "step": 5249 + }, + { + "epoch": 2.23, + "learning_rate": 1.2108942485904222e-06, + "loss": 0.7384, + "step": 5250 + }, + { + "epoch": 2.23, + "learning_rate": 1.2103898989007961e-06, + "loss": 0.9225, + "step": 5251 + }, + { + "epoch": 2.23, + "learning_rate": 1.2098855832178498e-06, + "loss": 0.9063, + "step": 5252 + }, + { + "epoch": 2.23, + "learning_rate": 1.209381301600802e-06, + "loss": 0.7522, + "step": 5253 + }, + { + "epoch": 2.23, + "learning_rate": 1.208877054108865e-06, + "loss": 0.8119, + "step": 5254 + }, + { + "epoch": 2.23, + "learning_rate": 1.208372840801251e-06, + "loss": 0.8081, + "step": 5255 + }, + { + "epoch": 2.23, + "learning_rate": 1.2078686617371646e-06, + "loss": 0.9575, + "step": 5256 + }, + { + "epoch": 2.23, + "learning_rate": 1.2073645169758077e-06, + "loss": 1.2199, + "step": 5257 + }, + { + "epoch": 2.23, + "learning_rate": 1.2068604065763784e-06, + "loss": 1.1233, + "step": 5258 + }, + { + "epoch": 2.23, + "learning_rate": 1.2063563305980703e-06, + "loss": 1.1075, + "step": 5259 + }, + { + "epoch": 2.23, + "learning_rate": 1.2058522891000731e-06, + "loss": 0.6833, + "step": 5260 + }, + { + "epoch": 2.23, + "learning_rate": 1.205348282141572e-06, + "loss": 0.9535, + "step": 5261 + }, + { + "epoch": 2.23, + "learning_rate": 1.20484430978175e-06, + "loss": 0.8404, + "step": 5262 + }, + { + "epoch": 2.23, + "learning_rate": 1.204340372079784e-06, + "loss": 0.9941, + "step": 5263 + }, + { + "epoch": 2.23, + "learning_rate": 1.2038364690948472e-06, + "loss": 1.079, + "step": 5264 + }, + { + "epoch": 2.23, + "learning_rate": 1.2033326008861094e-06, + "loss": 0.631, + "step": 5265 + }, + { + "epoch": 2.23, + "learning_rate": 1.202828767512736e-06, + "loss": 1.0357, + "step": 5266 + }, + { + "epoch": 2.23, + "learning_rate": 1.202324969033888e-06, + "loss": 0.7528, + "step": 5267 + }, + { + "epoch": 2.23, + "learning_rate": 1.2018212055087225e-06, + "loss": 1.0235, + "step": 5268 + }, + { + "epoch": 2.23, + "learning_rate": 1.2013174769963927e-06, + "loss": 0.7799, + "step": 5269 + }, + { + "epoch": 2.23, + "learning_rate": 1.2008137835560478e-06, + "loss": 6.4903, + "step": 5270 + }, + { + "epoch": 2.23, + "learning_rate": 1.2003101252468321e-06, + "loss": 1.1408, + "step": 5271 + }, + { + "epoch": 2.23, + "learning_rate": 1.1998065021278872e-06, + "loss": 0.9125, + "step": 5272 + }, + { + "epoch": 2.24, + "learning_rate": 1.199302914258349e-06, + "loss": 1.0343, + "step": 5273 + }, + { + "epoch": 2.24, + "learning_rate": 1.19879936169735e-06, + "loss": 4.1928, + "step": 5274 + }, + { + "epoch": 2.24, + "learning_rate": 1.1982958445040187e-06, + "loss": 0.612, + "step": 5275 + }, + { + "epoch": 2.24, + "learning_rate": 1.1977923627374786e-06, + "loss": 0.7106, + "step": 5276 + }, + { + "epoch": 2.24, + "learning_rate": 1.1972889164568504e-06, + "loss": 1.0144, + "step": 5277 + }, + { + "epoch": 2.24, + "learning_rate": 1.19678550572125e-06, + "loss": 0.9744, + "step": 5278 + }, + { + "epoch": 2.24, + "learning_rate": 1.1962821305897887e-06, + "loss": 0.653, + "step": 5279 + }, + { + "epoch": 2.24, + "learning_rate": 1.1957787911215739e-06, + "loss": 0.6347, + "step": 5280 + }, + { + "epoch": 2.24, + "learning_rate": 1.1952754873757088e-06, + "loss": 0.9323, + "step": 5281 + }, + { + "epoch": 2.24, + "learning_rate": 1.1947722194112928e-06, + "loss": 0.9485, + "step": 5282 + }, + { + "epoch": 2.24, + "learning_rate": 1.1942689872874207e-06, + "loss": 1.1124, + "step": 5283 + }, + { + "epoch": 2.24, + "learning_rate": 1.1937657910631825e-06, + "loss": 0.6921, + "step": 5284 + }, + { + "epoch": 2.24, + "learning_rate": 1.1932626307976658e-06, + "loss": 1.1904, + "step": 5285 + }, + { + "epoch": 2.24, + "learning_rate": 1.1927595065499521e-06, + "loss": 0.973, + "step": 5286 + }, + { + "epoch": 2.24, + "learning_rate": 1.1922564183791198e-06, + "loss": 0.9564, + "step": 5287 + }, + { + "epoch": 2.24, + "learning_rate": 1.1917533663442422e-06, + "loss": 1.0116, + "step": 5288 + }, + { + "epoch": 2.24, + "learning_rate": 1.1912503505043893e-06, + "loss": 0.8092, + "step": 5289 + }, + { + "epoch": 2.24, + "learning_rate": 1.1907473709186258e-06, + "loss": 1.1995, + "step": 5290 + }, + { + "epoch": 2.24, + "learning_rate": 1.1902444276460125e-06, + "loss": 1.1699, + "step": 5291 + }, + { + "epoch": 2.24, + "learning_rate": 1.1897415207456074e-06, + "loss": 1.0366, + "step": 5292 + }, + { + "epoch": 2.24, + "learning_rate": 1.1892386502764622e-06, + "loss": 0.9922, + "step": 5293 + }, + { + "epoch": 2.24, + "learning_rate": 1.1887358162976252e-06, + "loss": 1.1505, + "step": 5294 + }, + { + "epoch": 2.24, + "learning_rate": 1.1882330188681404e-06, + "loss": 0.9102, + "step": 5295 + }, + { + "epoch": 2.25, + "learning_rate": 1.1877302580470471e-06, + "loss": 0.8839, + "step": 5296 + }, + { + "epoch": 2.25, + "learning_rate": 1.1872275338933808e-06, + "loss": 0.9341, + "step": 5297 + }, + { + "epoch": 2.25, + "learning_rate": 1.1867248464661721e-06, + "loss": 0.8133, + "step": 5298 + }, + { + "epoch": 2.25, + "learning_rate": 1.1862221958244484e-06, + "loss": 1.4248, + "step": 5299 + }, + { + "epoch": 2.25, + "learning_rate": 1.1857195820272323e-06, + "loss": 0.9625, + "step": 5300 + }, + { + "epoch": 2.25, + "learning_rate": 1.185217005133541e-06, + "loss": 1.067, + "step": 5301 + }, + { + "epoch": 2.25, + "learning_rate": 1.1847144652023891e-06, + "loss": 0.8805, + "step": 5302 + }, + { + "epoch": 2.25, + "learning_rate": 1.184211962292785e-06, + "loss": 0.7554, + "step": 5303 + }, + { + "epoch": 2.25, + "learning_rate": 1.1837094964637344e-06, + "loss": 1.0664, + "step": 5304 + }, + { + "epoch": 2.25, + "learning_rate": 1.183207067774238e-06, + "loss": 1.0556, + "step": 5305 + }, + { + "epoch": 2.25, + "learning_rate": 1.1827046762832916e-06, + "loss": 0.8551, + "step": 5306 + }, + { + "epoch": 2.25, + "learning_rate": 1.1822023220498877e-06, + "loss": 0.719, + "step": 5307 + }, + { + "epoch": 2.25, + "learning_rate": 1.1817000051330138e-06, + "loss": 0.9996, + "step": 5308 + }, + { + "epoch": 2.25, + "learning_rate": 1.181197725591653e-06, + "loss": 0.6987, + "step": 5309 + }, + { + "epoch": 2.25, + "learning_rate": 1.180695483484784e-06, + "loss": 0.8044, + "step": 5310 + }, + { + "epoch": 2.25, + "learning_rate": 1.1801932788713817e-06, + "loss": 1.0992, + "step": 5311 + }, + { + "epoch": 2.25, + "learning_rate": 1.1796911118104152e-06, + "loss": 0.825, + "step": 5312 + }, + { + "epoch": 2.25, + "learning_rate": 1.1791889823608504e-06, + "loss": 0.9986, + "step": 5313 + }, + { + "epoch": 2.25, + "learning_rate": 1.1786868905816492e-06, + "loss": 0.6536, + "step": 5314 + }, + { + "epoch": 2.25, + "learning_rate": 1.1781848365317682e-06, + "loss": 0.8982, + "step": 5315 + }, + { + "epoch": 2.25, + "learning_rate": 1.177682820270159e-06, + "loss": 0.883, + "step": 5316 + }, + { + "epoch": 2.25, + "learning_rate": 1.1771808418557703e-06, + "loss": 1.1213, + "step": 5317 + }, + { + "epoch": 2.25, + "learning_rate": 1.176678901347545e-06, + "loss": 0.8456, + "step": 5318 + }, + { + "epoch": 2.26, + "learning_rate": 1.1761769988044222e-06, + "loss": 1.2501, + "step": 5319 + }, + { + "epoch": 2.26, + "learning_rate": 1.1756751342853366e-06, + "loss": 1.2543, + "step": 5320 + }, + { + "epoch": 2.26, + "learning_rate": 1.1751733078492177e-06, + "loss": 1.0468, + "step": 5321 + }, + { + "epoch": 2.26, + "learning_rate": 1.1746715195549922e-06, + "loss": 0.9206, + "step": 5322 + }, + { + "epoch": 2.26, + "learning_rate": 1.1741697694615805e-06, + "loss": 1.0234, + "step": 5323 + }, + { + "epoch": 2.26, + "learning_rate": 1.1736680576278995e-06, + "loss": 1.0093, + "step": 5324 + }, + { + "epoch": 2.26, + "learning_rate": 1.1731663841128615e-06, + "loss": 1.1131, + "step": 5325 + }, + { + "epoch": 2.26, + "learning_rate": 1.1726647489753735e-06, + "loss": 0.9221, + "step": 5326 + }, + { + "epoch": 2.26, + "learning_rate": 1.1721631522743393e-06, + "loss": 0.9865, + "step": 5327 + }, + { + "epoch": 2.26, + "learning_rate": 1.1716615940686564e-06, + "loss": 0.8229, + "step": 5328 + }, + { + "epoch": 2.26, + "learning_rate": 1.1711600744172206e-06, + "loss": 0.7211, + "step": 5329 + }, + { + "epoch": 2.26, + "learning_rate": 1.1706585933789205e-06, + "loss": 0.9733, + "step": 5330 + }, + { + "epoch": 2.26, + "learning_rate": 1.1701571510126417e-06, + "loss": 0.907, + "step": 5331 + }, + { + "epoch": 2.26, + "learning_rate": 1.169655747377264e-06, + "loss": 1.131, + "step": 5332 + }, + { + "epoch": 2.26, + "learning_rate": 1.1691543825316636e-06, + "loss": 1.1474, + "step": 5333 + }, + { + "epoch": 2.26, + "learning_rate": 1.1686530565347123e-06, + "loss": 1.0332, + "step": 5334 + }, + { + "epoch": 2.26, + "learning_rate": 1.1681517694452763e-06, + "loss": 1.0908, + "step": 5335 + }, + { + "epoch": 2.26, + "learning_rate": 1.1676505213222181e-06, + "loss": 1.0586, + "step": 5336 + }, + { + "epoch": 2.26, + "learning_rate": 1.1671493122243957e-06, + "loss": 1.0358, + "step": 5337 + }, + { + "epoch": 2.26, + "learning_rate": 1.166648142210662e-06, + "loss": 0.7107, + "step": 5338 + }, + { + "epoch": 2.26, + "learning_rate": 1.1661470113398657e-06, + "loss": 0.8981, + "step": 5339 + }, + { + "epoch": 2.26, + "learning_rate": 1.1656459196708507e-06, + "loss": 0.8059, + "step": 5340 + }, + { + "epoch": 2.26, + "learning_rate": 1.1651448672624562e-06, + "loss": 0.9758, + "step": 5341 + }, + { + "epoch": 2.26, + "learning_rate": 1.1646438541735165e-06, + "loss": 0.7526, + "step": 5342 + }, + { + "epoch": 2.27, + "learning_rate": 1.1641428804628621e-06, + "loss": 0.8609, + "step": 5343 + }, + { + "epoch": 2.27, + "learning_rate": 1.163641946189319e-06, + "loss": 0.8529, + "step": 5344 + }, + { + "epoch": 2.27, + "learning_rate": 1.1631410514117072e-06, + "loss": 0.9427, + "step": 5345 + }, + { + "epoch": 2.27, + "learning_rate": 1.1626401961888437e-06, + "loss": 1.0748, + "step": 5346 + }, + { + "epoch": 2.27, + "learning_rate": 1.1621393805795395e-06, + "loss": 1.046, + "step": 5347 + }, + { + "epoch": 2.27, + "learning_rate": 1.1616386046426016e-06, + "loss": 1.2588, + "step": 5348 + }, + { + "epoch": 2.27, + "learning_rate": 1.1611378684368324e-06, + "loss": 0.8081, + "step": 5349 + }, + { + "epoch": 2.27, + "learning_rate": 1.1606371720210294e-06, + "loss": 0.8868, + "step": 5350 + }, + { + "epoch": 2.27, + "learning_rate": 1.1601365154539846e-06, + "loss": 0.991, + "step": 5351 + }, + { + "epoch": 2.27, + "learning_rate": 1.1596358987944882e-06, + "loss": 0.9343, + "step": 5352 + }, + { + "epoch": 2.27, + "learning_rate": 1.1591353221013224e-06, + "loss": 0.6657, + "step": 5353 + }, + { + "epoch": 2.27, + "learning_rate": 1.1586347854332668e-06, + "loss": 1.0431, + "step": 5354 + }, + { + "epoch": 2.27, + "learning_rate": 1.1581342888490947e-06, + "loss": 0.9434, + "step": 5355 + }, + { + "epoch": 2.27, + "learning_rate": 1.1576338324075762e-06, + "loss": 0.8932, + "step": 5356 + }, + { + "epoch": 2.27, + "learning_rate": 1.1571334161674758e-06, + "loss": 0.6926, + "step": 5357 + }, + { + "epoch": 2.27, + "learning_rate": 1.1566330401875529e-06, + "loss": 0.9223, + "step": 5358 + }, + { + "epoch": 2.27, + "learning_rate": 1.156132704526564e-06, + "loss": 1.1165, + "step": 5359 + }, + { + "epoch": 2.27, + "learning_rate": 1.1556324092432591e-06, + "loss": 1.1443, + "step": 5360 + }, + { + "epoch": 2.27, + "learning_rate": 1.155132154396384e-06, + "loss": 1.3044, + "step": 5361 + }, + { + "epoch": 2.27, + "learning_rate": 1.1546319400446799e-06, + "loss": 0.5993, + "step": 5362 + }, + { + "epoch": 2.27, + "learning_rate": 1.154131766246883e-06, + "loss": 1.042, + "step": 5363 + }, + { + "epoch": 2.27, + "learning_rate": 1.1536316330617247e-06, + "loss": 0.9126, + "step": 5364 + }, + { + "epoch": 2.27, + "learning_rate": 1.1531315405479317e-06, + "loss": 0.9286, + "step": 5365 + }, + { + "epoch": 2.28, + "learning_rate": 1.1526314887642264e-06, + "loss": 0.9093, + "step": 5366 + }, + { + "epoch": 2.28, + "learning_rate": 1.1521314777693262e-06, + "loss": 0.7723, + "step": 5367 + }, + { + "epoch": 2.28, + "learning_rate": 1.151631507621943e-06, + "loss": 0.9462, + "step": 5368 + }, + { + "epoch": 2.28, + "learning_rate": 1.1511315783807842e-06, + "loss": 1.0319, + "step": 5369 + }, + { + "epoch": 2.28, + "learning_rate": 1.1506316901045533e-06, + "loss": 0.9479, + "step": 5370 + }, + { + "epoch": 2.28, + "learning_rate": 1.1501318428519482e-06, + "loss": 0.8461, + "step": 5371 + }, + { + "epoch": 2.28, + "learning_rate": 1.149632036681662e-06, + "loss": 1.0551, + "step": 5372 + }, + { + "epoch": 2.28, + "learning_rate": 1.1491322716523829e-06, + "loss": 1.1683, + "step": 5373 + }, + { + "epoch": 2.28, + "learning_rate": 1.1486325478227948e-06, + "loss": 0.9147, + "step": 5374 + }, + { + "epoch": 2.28, + "learning_rate": 1.1481328652515762e-06, + "loss": 0.8889, + "step": 5375 + }, + { + "epoch": 2.28, + "learning_rate": 1.1476332239974012e-06, + "loss": 0.8479, + "step": 5376 + }, + { + "epoch": 2.28, + "learning_rate": 1.1471336241189385e-06, + "loss": 0.9882, + "step": 5377 + }, + { + "epoch": 2.28, + "learning_rate": 1.146634065674852e-06, + "loss": 0.9199, + "step": 5378 + }, + { + "epoch": 2.28, + "learning_rate": 1.1461345487238018e-06, + "loss": 0.6761, + "step": 5379 + }, + { + "epoch": 2.28, + "learning_rate": 1.1456350733244413e-06, + "loss": 1.0592, + "step": 5380 + }, + { + "epoch": 2.28, + "learning_rate": 1.1451356395354212e-06, + "loss": 1.0004, + "step": 5381 + }, + { + "epoch": 2.28, + "learning_rate": 1.1446362474153857e-06, + "loss": 0.8881, + "step": 5382 + }, + { + "epoch": 2.28, + "learning_rate": 1.1441368970229744e-06, + "loss": 0.8281, + "step": 5383 + }, + { + "epoch": 2.28, + "learning_rate": 1.1436375884168223e-06, + "loss": 0.8842, + "step": 5384 + }, + { + "epoch": 2.28, + "learning_rate": 1.1431383216555591e-06, + "loss": 0.6791, + "step": 5385 + }, + { + "epoch": 2.28, + "learning_rate": 1.1426390967978102e-06, + "loss": 0.6976, + "step": 5386 + }, + { + "epoch": 2.28, + "learning_rate": 1.1421399139021954e-06, + "loss": 0.9302, + "step": 5387 + }, + { + "epoch": 2.28, + "learning_rate": 1.1416407730273295e-06, + "loss": 0.9145, + "step": 5388 + }, + { + "epoch": 2.29, + "learning_rate": 1.1411416742318242e-06, + "loss": 0.8918, + "step": 5389 + }, + { + "epoch": 2.29, + "learning_rate": 1.1406426175742837e-06, + "loss": 1.2348, + "step": 5390 + }, + { + "epoch": 2.29, + "learning_rate": 1.1401436031133086e-06, + "loss": 1.0305, + "step": 5391 + }, + { + "epoch": 2.29, + "learning_rate": 1.1396446309074945e-06, + "loss": 1.3039, + "step": 5392 + }, + { + "epoch": 2.29, + "learning_rate": 1.1391457010154316e-06, + "loss": 0.9937, + "step": 5393 + }, + { + "epoch": 2.29, + "learning_rate": 1.1386468134957054e-06, + "loss": 1.0313, + "step": 5394 + }, + { + "epoch": 2.29, + "learning_rate": 1.138147968406896e-06, + "loss": 0.8152, + "step": 5395 + }, + { + "epoch": 2.29, + "learning_rate": 1.1376491658075801e-06, + "loss": 1.2447, + "step": 5396 + }, + { + "epoch": 2.29, + "learning_rate": 1.1371504057563272e-06, + "loss": 1.2757, + "step": 5397 + }, + { + "epoch": 2.29, + "learning_rate": 1.1366516883117036e-06, + "loss": 0.9726, + "step": 5398 + }, + { + "epoch": 2.29, + "learning_rate": 1.136153013532269e-06, + "loss": 1.2059, + "step": 5399 + }, + { + "epoch": 2.29, + "learning_rate": 1.13565438147658e-06, + "loss": 0.8954, + "step": 5400 + }, + { + "epoch": 2.29, + "learning_rate": 1.1351557922031861e-06, + "loss": 0.9263, + "step": 5401 + }, + { + "epoch": 2.29, + "learning_rate": 1.1346572457706335e-06, + "loss": 0.8168, + "step": 5402 + }, + { + "epoch": 2.29, + "learning_rate": 1.1341587422374618e-06, + "loss": 0.3203, + "step": 5403 + }, + { + "epoch": 2.29, + "learning_rate": 1.1336602816622075e-06, + "loss": 0.6415, + "step": 5404 + }, + { + "epoch": 2.29, + "learning_rate": 1.1331618641034002e-06, + "loss": 1.0666, + "step": 5405 + }, + { + "epoch": 2.29, + "learning_rate": 1.1326634896195656e-06, + "loss": 0.7638, + "step": 5406 + }, + { + "epoch": 2.29, + "learning_rate": 1.1321651582692237e-06, + "loss": 0.6214, + "step": 5407 + }, + { + "epoch": 2.29, + "learning_rate": 1.1316668701108902e-06, + "loss": 0.8457, + "step": 5408 + }, + { + "epoch": 2.29, + "learning_rate": 1.1311686252030747e-06, + "loss": 0.9098, + "step": 5409 + }, + { + "epoch": 2.29, + "learning_rate": 1.1306704236042818e-06, + "loss": 0.7846, + "step": 5410 + }, + { + "epoch": 2.29, + "learning_rate": 1.1301722653730128e-06, + "loss": 0.8527, + "step": 5411 + }, + { + "epoch": 2.3, + "learning_rate": 1.129674150567762e-06, + "loss": 1.1, + "step": 5412 + }, + { + "epoch": 2.3, + "learning_rate": 1.1291760792470192e-06, + "loss": 0.7884, + "step": 5413 + }, + { + "epoch": 2.3, + "learning_rate": 1.1286780514692687e-06, + "loss": 1.1804, + "step": 5414 + }, + { + "epoch": 2.3, + "learning_rate": 1.1281800672929905e-06, + "loss": 0.7112, + "step": 5415 + }, + { + "epoch": 2.3, + "learning_rate": 1.1276821267766587e-06, + "loss": 0.9248, + "step": 5416 + }, + { + "epoch": 2.3, + "learning_rate": 1.1271842299787422e-06, + "loss": 1.1373, + "step": 5417 + }, + { + "epoch": 2.3, + "learning_rate": 1.1266863769577063e-06, + "loss": 0.6384, + "step": 5418 + }, + { + "epoch": 2.3, + "learning_rate": 1.1261885677720096e-06, + "loss": 0.7609, + "step": 5419 + }, + { + "epoch": 2.3, + "learning_rate": 1.1256908024801059e-06, + "loss": 1.3385, + "step": 5420 + }, + { + "epoch": 2.3, + "learning_rate": 1.125193081140444e-06, + "loss": 0.9717, + "step": 5421 + }, + { + "epoch": 2.3, + "learning_rate": 1.1246954038114673e-06, + "loss": 0.8653, + "step": 5422 + }, + { + "epoch": 2.3, + "learning_rate": 1.1241977705516145e-06, + "loss": 1.0102, + "step": 5423 + }, + { + "epoch": 2.3, + "learning_rate": 1.1237001814193184e-06, + "loss": 1.1443, + "step": 5424 + }, + { + "epoch": 2.3, + "learning_rate": 1.1232026364730068e-06, + "loss": 1.1813, + "step": 5425 + }, + { + "epoch": 2.3, + "learning_rate": 1.1227051357711036e-06, + "loss": 1.1975, + "step": 5426 + }, + { + "epoch": 2.3, + "learning_rate": 1.122207679372026e-06, + "loss": 1.1125, + "step": 5427 + }, + { + "epoch": 2.3, + "learning_rate": 1.1217102673341865e-06, + "loss": 1.0264, + "step": 5428 + }, + { + "epoch": 2.3, + "learning_rate": 1.1212128997159921e-06, + "loss": 1.2372, + "step": 5429 + }, + { + "epoch": 2.3, + "learning_rate": 1.1207155765758453e-06, + "loss": 0.8794, + "step": 5430 + }, + { + "epoch": 2.3, + "learning_rate": 1.1202182979721423e-06, + "loss": 0.9407, + "step": 5431 + }, + { + "epoch": 2.3, + "learning_rate": 1.119721063963275e-06, + "loss": 0.8086, + "step": 5432 + }, + { + "epoch": 2.3, + "learning_rate": 1.11922387460763e-06, + "loss": 1.0168, + "step": 5433 + }, + { + "epoch": 2.3, + "learning_rate": 1.118726729963588e-06, + "loss": 1.0615, + "step": 5434 + }, + { + "epoch": 2.31, + "learning_rate": 1.118229630089525e-06, + "loss": 1.1048, + "step": 5435 + }, + { + "epoch": 2.31, + "learning_rate": 1.117732575043812e-06, + "loss": 0.7094, + "step": 5436 + }, + { + "epoch": 2.31, + "learning_rate": 1.1172355648848137e-06, + "loss": 0.8766, + "step": 5437 + }, + { + "epoch": 2.31, + "learning_rate": 1.1167385996708905e-06, + "loss": 0.9605, + "step": 5438 + }, + { + "epoch": 2.31, + "learning_rate": 1.1162416794603972e-06, + "loss": 0.9749, + "step": 5439 + }, + { + "epoch": 2.31, + "learning_rate": 1.1157448043116826e-06, + "loss": 0.8983, + "step": 5440 + }, + { + "epoch": 2.31, + "learning_rate": 1.1152479742830923e-06, + "loss": 0.8734, + "step": 5441 + }, + { + "epoch": 2.31, + "learning_rate": 1.1147511894329643e-06, + "loss": 0.9245, + "step": 5442 + }, + { + "epoch": 2.31, + "learning_rate": 1.1142544498196326e-06, + "loss": 0.9288, + "step": 5443 + }, + { + "epoch": 2.31, + "learning_rate": 1.113757755501425e-06, + "loss": 0.8636, + "step": 5444 + }, + { + "epoch": 2.31, + "learning_rate": 1.1132611065366652e-06, + "loss": 0.6519, + "step": 5445 + }, + { + "epoch": 2.31, + "learning_rate": 1.1127645029836703e-06, + "loss": 0.9744, + "step": 5446 + }, + { + "epoch": 2.31, + "learning_rate": 1.112267944900752e-06, + "loss": 0.8793, + "step": 5447 + }, + { + "epoch": 2.31, + "learning_rate": 1.1117714323462188e-06, + "loss": 0.9501, + "step": 5448 + }, + { + "epoch": 2.31, + "learning_rate": 1.1112749653783715e-06, + "loss": 1.0083, + "step": 5449 + }, + { + "epoch": 2.31, + "learning_rate": 1.1107785440555064e-06, + "loss": 0.9109, + "step": 5450 + }, + { + "epoch": 2.31, + "learning_rate": 1.1102821684359148e-06, + "loss": 0.9918, + "step": 5451 + }, + { + "epoch": 2.31, + "learning_rate": 1.1097858385778817e-06, + "loss": 0.5663, + "step": 5452 + }, + { + "epoch": 2.31, + "learning_rate": 1.1092895545396878e-06, + "loss": 0.7422, + "step": 5453 + }, + { + "epoch": 2.31, + "learning_rate": 1.1087933163796075e-06, + "loss": 0.7777, + "step": 5454 + }, + { + "epoch": 2.31, + "learning_rate": 1.1082971241559097e-06, + "loss": 0.923, + "step": 5455 + }, + { + "epoch": 2.31, + "learning_rate": 1.10780097792686e-06, + "loss": 0.6923, + "step": 5456 + }, + { + "epoch": 2.31, + "learning_rate": 1.1073048777507158e-06, + "loss": 0.5937, + "step": 5457 + }, + { + "epoch": 2.32, + "learning_rate": 1.1068088236857308e-06, + "loss": 0.6745, + "step": 5458 + }, + { + "epoch": 2.32, + "learning_rate": 1.1063128157901525e-06, + "loss": 1.0872, + "step": 5459 + }, + { + "epoch": 2.32, + "learning_rate": 1.1058168541222237e-06, + "loss": 0.8736, + "step": 5460 + }, + { + "epoch": 2.32, + "learning_rate": 1.105320938740181e-06, + "loss": 1.1257, + "step": 5461 + }, + { + "epoch": 2.32, + "learning_rate": 1.1048250697022553e-06, + "loss": 0.871, + "step": 5462 + }, + { + "epoch": 2.32, + "learning_rate": 1.104329247066674e-06, + "loss": 0.6894, + "step": 5463 + }, + { + "epoch": 2.32, + "learning_rate": 1.1038334708916574e-06, + "loss": 1.1136, + "step": 5464 + }, + { + "epoch": 2.32, + "learning_rate": 1.10333774123542e-06, + "loss": 1.2706, + "step": 5465 + }, + { + "epoch": 2.32, + "learning_rate": 1.1028420581561719e-06, + "loss": 0.8787, + "step": 5466 + }, + { + "epoch": 2.32, + "learning_rate": 1.1023464217121175e-06, + "loss": 0.8076, + "step": 5467 + }, + { + "epoch": 2.32, + "learning_rate": 1.101850831961455e-06, + "loss": 1.048, + "step": 5468 + }, + { + "epoch": 2.32, + "learning_rate": 1.1013552889623783e-06, + "loss": 1.0998, + "step": 5469 + }, + { + "epoch": 2.32, + "learning_rate": 1.1008597927730746e-06, + "loss": 0.178, + "step": 5470 + }, + { + "epoch": 2.32, + "learning_rate": 1.1003643434517271e-06, + "loss": 0.651, + "step": 5471 + }, + { + "epoch": 2.32, + "learning_rate": 1.0998689410565119e-06, + "loss": 0.9799, + "step": 5472 + }, + { + "epoch": 2.32, + "learning_rate": 1.0993735856456005e-06, + "loss": 1.0023, + "step": 5473 + }, + { + "epoch": 2.32, + "learning_rate": 1.0988782772771583e-06, + "loss": 0.7209, + "step": 5474 + }, + { + "epoch": 2.32, + "learning_rate": 1.0983830160093463e-06, + "loss": 1.0614, + "step": 5475 + }, + { + "epoch": 2.32, + "learning_rate": 1.0978878019003183e-06, + "loss": 0.5385, + "step": 5476 + }, + { + "epoch": 2.32, + "learning_rate": 1.0973926350082236e-06, + "loss": 0.8723, + "step": 5477 + }, + { + "epoch": 2.32, + "learning_rate": 1.0968975153912068e-06, + "loss": 0.9633, + "step": 5478 + }, + { + "epoch": 2.32, + "learning_rate": 1.0964024431074053e-06, + "loss": 0.9008, + "step": 5479 + }, + { + "epoch": 2.32, + "learning_rate": 1.0959074182149515e-06, + "loss": 0.6825, + "step": 5480 + }, + { + "epoch": 2.32, + "learning_rate": 1.0954124407719726e-06, + "loss": 0.8924, + "step": 5481 + }, + { + "epoch": 2.33, + "learning_rate": 1.0949175108365898e-06, + "loss": 0.8912, + "step": 5482 + }, + { + "epoch": 2.33, + "learning_rate": 1.094422628466919e-06, + "loss": 0.8748, + "step": 5483 + }, + { + "epoch": 2.33, + "learning_rate": 1.0939277937210698e-06, + "loss": 0.847, + "step": 5484 + }, + { + "epoch": 2.33, + "learning_rate": 1.0934330066571481e-06, + "loss": 0.945, + "step": 5485 + }, + { + "epoch": 2.33, + "learning_rate": 1.0929382673332524e-06, + "loss": 0.9303, + "step": 5486 + }, + { + "epoch": 2.33, + "learning_rate": 1.0924435758074758e-06, + "loss": 0.8904, + "step": 5487 + }, + { + "epoch": 2.33, + "learning_rate": 1.0919489321379062e-06, + "loss": 0.8871, + "step": 5488 + }, + { + "epoch": 2.33, + "learning_rate": 1.091454336382626e-06, + "loss": 0.7114, + "step": 5489 + }, + { + "epoch": 2.33, + "learning_rate": 1.0909597885997117e-06, + "loss": 1.0453, + "step": 5490 + }, + { + "epoch": 2.33, + "learning_rate": 1.0904652888472342e-06, + "loss": 0.7848, + "step": 5491 + }, + { + "epoch": 2.33, + "learning_rate": 1.0899708371832585e-06, + "loss": 1.2517, + "step": 5492 + }, + { + "epoch": 2.33, + "learning_rate": 1.0894764336658446e-06, + "loss": 1.0818, + "step": 5493 + }, + { + "epoch": 2.33, + "learning_rate": 1.0889820783530466e-06, + "loss": 0.8483, + "step": 5494 + }, + { + "epoch": 2.33, + "learning_rate": 1.0884877713029124e-06, + "loss": 1.0954, + "step": 5495 + }, + { + "epoch": 2.33, + "learning_rate": 1.087993512573485e-06, + "loss": 0.4843, + "step": 5496 + }, + { + "epoch": 2.33, + "learning_rate": 1.0874993022228014e-06, + "loss": 0.7639, + "step": 5497 + }, + { + "epoch": 2.33, + "learning_rate": 1.0870051403088927e-06, + "loss": 0.6345, + "step": 5498 + }, + { + "epoch": 2.33, + "learning_rate": 1.0865110268897845e-06, + "loss": 0.7991, + "step": 5499 + }, + { + "epoch": 2.33, + "learning_rate": 1.0860169620234969e-06, + "loss": 1.0544, + "step": 5500 + }, + { + "epoch": 2.33, + "learning_rate": 1.0855229457680443e-06, + "loss": 0.8142, + "step": 5501 + }, + { + "epoch": 2.33, + "learning_rate": 1.085028978181435e-06, + "loss": 0.8939, + "step": 5502 + }, + { + "epoch": 2.33, + "learning_rate": 1.0845350593216715e-06, + "loss": 1.0398, + "step": 5503 + }, + { + "epoch": 2.33, + "learning_rate": 1.0840411892467516e-06, + "loss": 1.0968, + "step": 5504 + }, + { + "epoch": 2.34, + "learning_rate": 1.0835473680146661e-06, + "loss": 0.9991, + "step": 5505 + }, + { + "epoch": 2.34, + "learning_rate": 1.0830535956834008e-06, + "loss": 1.054, + "step": 5506 + }, + { + "epoch": 2.34, + "learning_rate": 1.0825598723109347e-06, + "loss": 0.9214, + "step": 5507 + }, + { + "epoch": 2.34, + "learning_rate": 1.0820661979552436e-06, + "loss": 0.7025, + "step": 5508 + }, + { + "epoch": 2.34, + "learning_rate": 1.081572572674295e-06, + "loss": 0.7603, + "step": 5509 + }, + { + "epoch": 2.34, + "learning_rate": 1.081078996526051e-06, + "loss": 0.8089, + "step": 5510 + }, + { + "epoch": 2.34, + "learning_rate": 1.0805854695684696e-06, + "loss": 0.7492, + "step": 5511 + }, + { + "epoch": 2.34, + "learning_rate": 1.0800919918595012e-06, + "loss": 0.9388, + "step": 5512 + }, + { + "epoch": 2.34, + "learning_rate": 1.079598563457091e-06, + "loss": 0.802, + "step": 5513 + }, + { + "epoch": 2.34, + "learning_rate": 1.079105184419178e-06, + "loss": 1.2445, + "step": 5514 + }, + { + "epoch": 2.34, + "learning_rate": 1.078611854803697e-06, + "loss": 1.2033, + "step": 5515 + }, + { + "epoch": 2.34, + "learning_rate": 1.0781185746685755e-06, + "loss": 1.171, + "step": 5516 + }, + { + "epoch": 2.34, + "learning_rate": 1.0776253440717355e-06, + "loss": 0.7621, + "step": 5517 + }, + { + "epoch": 2.34, + "learning_rate": 1.0771321630710933e-06, + "loss": 1.0256, + "step": 5518 + }, + { + "epoch": 2.34, + "learning_rate": 1.0766390317245592e-06, + "loss": 0.6364, + "step": 5519 + }, + { + "epoch": 2.34, + "learning_rate": 1.0761459500900379e-06, + "loss": 0.9444, + "step": 5520 + }, + { + "epoch": 2.34, + "learning_rate": 1.075652918225428e-06, + "loss": 0.9039, + "step": 5521 + }, + { + "epoch": 2.34, + "learning_rate": 1.0751599361886222e-06, + "loss": 0.7789, + "step": 5522 + }, + { + "epoch": 2.34, + "learning_rate": 1.0746670040375085e-06, + "loss": 0.8942, + "step": 5523 + }, + { + "epoch": 2.34, + "learning_rate": 1.0741741218299678e-06, + "loss": 0.9762, + "step": 5524 + }, + { + "epoch": 2.34, + "learning_rate": 1.073681289623875e-06, + "loss": 1.0485, + "step": 5525 + }, + { + "epoch": 2.34, + "learning_rate": 1.0731885074770999e-06, + "loss": 0.9724, + "step": 5526 + }, + { + "epoch": 2.34, + "learning_rate": 1.0726957754475059e-06, + "loss": 0.942, + "step": 5527 + }, + { + "epoch": 2.35, + "learning_rate": 1.0722030935929514e-06, + "loss": 0.8427, + "step": 5528 + }, + { + "epoch": 2.35, + "learning_rate": 1.071710461971287e-06, + "loss": 0.8424, + "step": 5529 + }, + { + "epoch": 2.35, + "learning_rate": 1.0712178806403595e-06, + "loss": 0.9594, + "step": 5530 + }, + { + "epoch": 2.35, + "learning_rate": 1.0707253496580088e-06, + "loss": 0.8142, + "step": 5531 + }, + { + "epoch": 2.35, + "learning_rate": 1.0702328690820693e-06, + "loss": 0.7808, + "step": 5532 + }, + { + "epoch": 2.35, + "learning_rate": 1.0697404389703684e-06, + "loss": 0.7498, + "step": 5533 + }, + { + "epoch": 2.35, + "learning_rate": 1.0692480593807288e-06, + "loss": 1.2075, + "step": 5534 + }, + { + "epoch": 2.35, + "learning_rate": 1.0687557303709674e-06, + "loss": 1.2115, + "step": 5535 + }, + { + "epoch": 2.35, + "learning_rate": 1.0682634519988938e-06, + "loss": 1.2559, + "step": 5536 + }, + { + "epoch": 2.35, + "learning_rate": 1.067771224322312e-06, + "loss": 1.021, + "step": 5537 + }, + { + "epoch": 2.35, + "learning_rate": 1.0672790473990218e-06, + "loss": 0.3379, + "step": 5538 + }, + { + "epoch": 2.35, + "learning_rate": 1.0667869212868153e-06, + "loss": 0.8244, + "step": 5539 + }, + { + "epoch": 2.35, + "learning_rate": 1.0662948460434788e-06, + "loss": 1.1714, + "step": 5540 + }, + { + "epoch": 2.35, + "learning_rate": 1.065802821726793e-06, + "loss": 0.8891, + "step": 5541 + }, + { + "epoch": 2.35, + "learning_rate": 1.0653108483945327e-06, + "loss": 0.6891, + "step": 5542 + }, + { + "epoch": 2.35, + "learning_rate": 1.0648189261044663e-06, + "loss": 0.9611, + "step": 5543 + }, + { + "epoch": 2.35, + "learning_rate": 1.064327054914356e-06, + "loss": 1.3206, + "step": 5544 + }, + { + "epoch": 2.35, + "learning_rate": 1.0638352348819593e-06, + "loss": 1.0822, + "step": 5545 + }, + { + "epoch": 2.35, + "learning_rate": 1.0633434660650267e-06, + "loss": 0.5955, + "step": 5546 + }, + { + "epoch": 2.35, + "learning_rate": 1.0628517485213027e-06, + "loss": 0.9566, + "step": 5547 + }, + { + "epoch": 2.35, + "learning_rate": 1.0623600823085256e-06, + "loss": 0.8415, + "step": 5548 + }, + { + "epoch": 2.35, + "learning_rate": 1.0618684674844283e-06, + "loss": 0.7681, + "step": 5549 + }, + { + "epoch": 2.35, + "learning_rate": 1.0613769041067371e-06, + "loss": 1.1137, + "step": 5550 + }, + { + "epoch": 2.36, + "learning_rate": 1.0608853922331723e-06, + "loss": 0.9755, + "step": 5551 + }, + { + "epoch": 2.36, + "learning_rate": 1.0603939319214488e-06, + "loss": 1.0505, + "step": 5552 + }, + { + "epoch": 2.36, + "learning_rate": 1.0599025232292755e-06, + "loss": 1.0099, + "step": 5553 + }, + { + "epoch": 2.36, + "learning_rate": 1.0594111662143534e-06, + "loss": 1.3881, + "step": 5554 + }, + { + "epoch": 2.36, + "learning_rate": 1.0589198609343798e-06, + "loss": 0.8741, + "step": 5555 + }, + { + "epoch": 2.36, + "learning_rate": 1.0584286074470445e-06, + "loss": 1.0091, + "step": 5556 + }, + { + "epoch": 2.36, + "learning_rate": 1.0579374058100317e-06, + "loss": 0.784, + "step": 5557 + }, + { + "epoch": 2.36, + "learning_rate": 1.0574462560810192e-06, + "loss": 1.2409, + "step": 5558 + }, + { + "epoch": 2.36, + "learning_rate": 1.0569551583176788e-06, + "loss": 1.0499, + "step": 5559 + }, + { + "epoch": 2.36, + "learning_rate": 1.0564641125776771e-06, + "loss": 1.1239, + "step": 5560 + }, + { + "epoch": 2.36, + "learning_rate": 1.0559731189186733e-06, + "loss": 0.9539, + "step": 5561 + }, + { + "epoch": 2.36, + "learning_rate": 1.0554821773983208e-06, + "loss": 0.9617, + "step": 5562 + }, + { + "epoch": 2.36, + "learning_rate": 1.0549912880742676e-06, + "loss": 0.9174, + "step": 5563 + }, + { + "epoch": 2.36, + "learning_rate": 1.0545004510041546e-06, + "loss": 1.1683, + "step": 5564 + }, + { + "epoch": 2.36, + "learning_rate": 1.0540096662456172e-06, + "loss": 0.7619, + "step": 5565 + }, + { + "epoch": 2.36, + "learning_rate": 1.0535189338562837e-06, + "loss": 0.8897, + "step": 5566 + }, + { + "epoch": 2.36, + "learning_rate": 1.0530282538937784e-06, + "loss": 1.1419, + "step": 5567 + }, + { + "epoch": 2.36, + "learning_rate": 1.0525376264157174e-06, + "loss": 1.1083, + "step": 5568 + }, + { + "epoch": 2.36, + "learning_rate": 1.0520470514797115e-06, + "loss": 1.0301, + "step": 5569 + }, + { + "epoch": 2.36, + "learning_rate": 1.0515565291433645e-06, + "loss": 0.8222, + "step": 5570 + }, + { + "epoch": 2.36, + "learning_rate": 1.0510660594642755e-06, + "loss": 0.9888, + "step": 5571 + }, + { + "epoch": 2.36, + "learning_rate": 1.0505756425000358e-06, + "loss": 0.8828, + "step": 5572 + }, + { + "epoch": 2.36, + "learning_rate": 1.050085278308232e-06, + "loss": 1.0834, + "step": 5573 + }, + { + "epoch": 2.37, + "learning_rate": 1.0495949669464427e-06, + "loss": 1.1304, + "step": 5574 + }, + { + "epoch": 2.37, + "learning_rate": 1.0491047084722429e-06, + "loss": 0.9505, + "step": 5575 + }, + { + "epoch": 2.37, + "learning_rate": 1.0486145029431988e-06, + "loss": 0.9708, + "step": 5576 + }, + { + "epoch": 2.37, + "learning_rate": 1.0481243504168717e-06, + "loss": 0.9581, + "step": 5577 + }, + { + "epoch": 2.37, + "learning_rate": 1.0476342509508166e-06, + "loss": 0.8152, + "step": 5578 + }, + { + "epoch": 2.37, + "learning_rate": 1.047144204602582e-06, + "loss": 0.9301, + "step": 5579 + }, + { + "epoch": 2.37, + "learning_rate": 1.04665421142971e-06, + "loss": 0.9321, + "step": 5580 + }, + { + "epoch": 2.37, + "learning_rate": 1.0461642714897368e-06, + "loss": 0.9386, + "step": 5581 + }, + { + "epoch": 2.37, + "learning_rate": 1.0456743848401926e-06, + "loss": 0.8713, + "step": 5582 + }, + { + "epoch": 2.37, + "learning_rate": 1.0451845515386009e-06, + "loss": 0.9747, + "step": 5583 + }, + { + "epoch": 2.37, + "learning_rate": 1.0446947716424788e-06, + "loss": 0.7594, + "step": 5584 + }, + { + "epoch": 2.37, + "learning_rate": 1.044205045209338e-06, + "loss": 1.0137, + "step": 5585 + }, + { + "epoch": 2.37, + "learning_rate": 1.0437153722966825e-06, + "loss": 1.0349, + "step": 5586 + }, + { + "epoch": 2.37, + "learning_rate": 1.0432257529620114e-06, + "loss": 0.8547, + "step": 5587 + }, + { + "epoch": 2.37, + "learning_rate": 1.0427361872628166e-06, + "loss": 1.1956, + "step": 5588 + }, + { + "epoch": 2.37, + "learning_rate": 1.0422466752565836e-06, + "loss": 1.2097, + "step": 5589 + }, + { + "epoch": 2.37, + "learning_rate": 1.041757217000793e-06, + "loss": 1.0321, + "step": 5590 + }, + { + "epoch": 2.37, + "learning_rate": 1.0412678125529175e-06, + "loss": 1.2391, + "step": 5591 + }, + { + "epoch": 2.37, + "learning_rate": 1.0407784619704244e-06, + "loss": 1.0366, + "step": 5592 + }, + { + "epoch": 2.37, + "learning_rate": 1.0402891653107736e-06, + "loss": 1.03, + "step": 5593 + }, + { + "epoch": 2.37, + "learning_rate": 1.0397999226314206e-06, + "loss": 1.0931, + "step": 5594 + }, + { + "epoch": 2.37, + "learning_rate": 1.0393107339898129e-06, + "loss": 0.9874, + "step": 5595 + }, + { + "epoch": 2.37, + "learning_rate": 1.0388215994433915e-06, + "loss": 1.0469, + "step": 5596 + }, + { + "epoch": 2.38, + "learning_rate": 1.0383325190495925e-06, + "loss": 1.4566, + "step": 5597 + }, + { + "epoch": 2.38, + "learning_rate": 1.0378434928658448e-06, + "loss": 0.85, + "step": 5598 + }, + { + "epoch": 2.38, + "learning_rate": 1.0373545209495705e-06, + "loss": 1.0095, + "step": 5599 + }, + { + "epoch": 2.38, + "learning_rate": 1.0368656033581863e-06, + "loss": 1.0836, + "step": 5600 + }, + { + "epoch": 2.38, + "learning_rate": 1.0363767401491018e-06, + "loss": 0.6743, + "step": 5601 + }, + { + "epoch": 2.38, + "learning_rate": 1.0358879313797203e-06, + "loss": 0.9972, + "step": 5602 + }, + { + "epoch": 2.38, + "learning_rate": 1.0353991771074389e-06, + "loss": 0.9784, + "step": 5603 + }, + { + "epoch": 2.38, + "learning_rate": 1.0349104773896479e-06, + "loss": 0.9544, + "step": 5604 + }, + { + "epoch": 2.38, + "learning_rate": 1.0344218322837323e-06, + "loss": 0.941, + "step": 5605 + }, + { + "epoch": 2.38, + "learning_rate": 1.0339332418470697e-06, + "loss": 0.922, + "step": 5606 + }, + { + "epoch": 2.38, + "learning_rate": 1.0334447061370314e-06, + "loss": 1.3452, + "step": 5607 + }, + { + "epoch": 2.38, + "learning_rate": 1.0329562252109824e-06, + "loss": 1.0233, + "step": 5608 + }, + { + "epoch": 2.38, + "learning_rate": 1.032467799126281e-06, + "loss": 0.8953, + "step": 5609 + }, + { + "epoch": 2.38, + "learning_rate": 1.0319794279402799e-06, + "loss": 0.9431, + "step": 5610 + }, + { + "epoch": 2.38, + "learning_rate": 1.0314911117103234e-06, + "loss": 1.0185, + "step": 5611 + }, + { + "epoch": 2.38, + "learning_rate": 1.0310028504937524e-06, + "loss": 1.2902, + "step": 5612 + }, + { + "epoch": 2.38, + "learning_rate": 1.030514644347899e-06, + "loss": 1.0695, + "step": 5613 + }, + { + "epoch": 2.38, + "learning_rate": 1.0300264933300893e-06, + "loss": 0.5198, + "step": 5614 + }, + { + "epoch": 2.38, + "learning_rate": 1.0295383974976434e-06, + "loss": 1.0448, + "step": 5615 + }, + { + "epoch": 2.38, + "learning_rate": 1.0290503569078742e-06, + "loss": 0.6908, + "step": 5616 + }, + { + "epoch": 2.38, + "learning_rate": 1.028562371618089e-06, + "loss": 0.8946, + "step": 5617 + }, + { + "epoch": 2.38, + "learning_rate": 1.0280744416855875e-06, + "loss": 0.794, + "step": 5618 + }, + { + "epoch": 2.38, + "learning_rate": 1.0275865671676642e-06, + "loss": 1.2755, + "step": 5619 + }, + { + "epoch": 2.38, + "learning_rate": 1.0270987481216062e-06, + "loss": 1.2957, + "step": 5620 + }, + { + "epoch": 2.39, + "learning_rate": 1.0266109846046944e-06, + "loss": 0.8069, + "step": 5621 + }, + { + "epoch": 2.39, + "learning_rate": 1.0261232766742032e-06, + "loss": 1.0499, + "step": 5622 + }, + { + "epoch": 2.39, + "learning_rate": 1.0256356243874e-06, + "loss": 0.7847, + "step": 5623 + }, + { + "epoch": 2.39, + "learning_rate": 1.0251480278015468e-06, + "loss": 1.0619, + "step": 5624 + }, + { + "epoch": 2.39, + "learning_rate": 1.0246604869738974e-06, + "loss": 1.1191, + "step": 5625 + }, + { + "epoch": 2.39, + "learning_rate": 1.0241730019617001e-06, + "loss": 0.7128, + "step": 5626 + }, + { + "epoch": 2.39, + "learning_rate": 1.023685572822197e-06, + "loss": 1.0521, + "step": 5627 + }, + { + "epoch": 2.39, + "learning_rate": 1.023198199612623e-06, + "loss": 1.1505, + "step": 5628 + }, + { + "epoch": 2.39, + "learning_rate": 1.0227108823902065e-06, + "loss": 1.0007, + "step": 5629 + }, + { + "epoch": 2.39, + "learning_rate": 1.0222236212121696e-06, + "loss": 1.1228, + "step": 5630 + }, + { + "epoch": 2.39, + "learning_rate": 1.0217364161357271e-06, + "loss": 1.0124, + "step": 5631 + }, + { + "epoch": 2.39, + "learning_rate": 1.021249267218088e-06, + "loss": 1.0742, + "step": 5632 + }, + { + "epoch": 2.39, + "learning_rate": 1.0207621745164542e-06, + "loss": 0.9745, + "step": 5633 + }, + { + "epoch": 2.39, + "learning_rate": 1.0202751380880218e-06, + "loss": 0.9823, + "step": 5634 + }, + { + "epoch": 2.39, + "learning_rate": 1.0197881579899796e-06, + "loss": 0.8782, + "step": 5635 + }, + { + "epoch": 2.39, + "learning_rate": 1.0193012342795096e-06, + "loss": 0.9444, + "step": 5636 + }, + { + "epoch": 2.39, + "learning_rate": 1.0188143670137878e-06, + "loss": 1.0402, + "step": 5637 + }, + { + "epoch": 2.39, + "learning_rate": 1.0183275562499832e-06, + "loss": 0.8741, + "step": 5638 + }, + { + "epoch": 2.39, + "learning_rate": 1.017840802045258e-06, + "loss": 0.6655, + "step": 5639 + }, + { + "epoch": 2.39, + "learning_rate": 1.0173541044567682e-06, + "loss": 0.7727, + "step": 5640 + }, + { + "epoch": 2.39, + "learning_rate": 1.0168674635416623e-06, + "loss": 0.9226, + "step": 5641 + }, + { + "epoch": 2.39, + "learning_rate": 1.016380879357084e-06, + "loss": 0.7566, + "step": 5642 + }, + { + "epoch": 2.39, + "learning_rate": 1.0158943519601684e-06, + "loss": 1.085, + "step": 5643 + }, + { + "epoch": 2.4, + "learning_rate": 1.0154078814080447e-06, + "loss": 0.9829, + "step": 5644 + }, + { + "epoch": 2.4, + "learning_rate": 1.0149214677578358e-06, + "loss": 0.7347, + "step": 5645 + }, + { + "epoch": 2.4, + "learning_rate": 1.014435111066657e-06, + "loss": 1.1564, + "step": 5646 + }, + { + "epoch": 2.4, + "learning_rate": 1.0139488113916175e-06, + "loss": 0.9506, + "step": 5647 + }, + { + "epoch": 2.4, + "learning_rate": 1.0134625687898193e-06, + "loss": 0.9628, + "step": 5648 + }, + { + "epoch": 2.4, + "learning_rate": 1.012976383318359e-06, + "loss": 0.6731, + "step": 5649 + }, + { + "epoch": 2.4, + "learning_rate": 1.0124902550343253e-06, + "loss": 1.0014, + "step": 5650 + }, + { + "epoch": 2.4, + "learning_rate": 1.0120041839948004e-06, + "loss": 1.2275, + "step": 5651 + }, + { + "epoch": 2.4, + "learning_rate": 1.01151817025686e-06, + "loss": 1.0345, + "step": 5652 + }, + { + "epoch": 2.4, + "learning_rate": 1.0110322138775727e-06, + "loss": 0.8594, + "step": 5653 + }, + { + "epoch": 2.4, + "learning_rate": 1.010546314914001e-06, + "loss": 1.031, + "step": 5654 + }, + { + "epoch": 2.4, + "learning_rate": 1.0100604734231996e-06, + "loss": 1.0155, + "step": 5655 + }, + { + "epoch": 2.4, + "learning_rate": 1.0095746894622174e-06, + "loss": 1.1846, + "step": 5656 + }, + { + "epoch": 2.4, + "learning_rate": 1.0090889630880968e-06, + "loss": 0.8112, + "step": 5657 + }, + { + "epoch": 2.4, + "learning_rate": 1.0086032943578723e-06, + "loss": 0.9647, + "step": 5658 + }, + { + "epoch": 2.4, + "learning_rate": 1.0081176833285728e-06, + "loss": 1.1277, + "step": 5659 + }, + { + "epoch": 2.4, + "learning_rate": 1.0076321300572192e-06, + "loss": 0.9114, + "step": 5660 + }, + { + "epoch": 2.4, + "learning_rate": 1.0071466346008263e-06, + "loss": 1.1983, + "step": 5661 + }, + { + "epoch": 2.4, + "learning_rate": 1.0066611970164028e-06, + "loss": 0.8069, + "step": 5662 + }, + { + "epoch": 2.4, + "learning_rate": 1.0061758173609485e-06, + "loss": 0.8537, + "step": 5663 + }, + { + "epoch": 2.4, + "learning_rate": 1.0056904956914596e-06, + "loss": 0.6401, + "step": 5664 + }, + { + "epoch": 2.4, + "learning_rate": 1.0052052320649226e-06, + "loss": 1.2306, + "step": 5665 + }, + { + "epoch": 2.4, + "learning_rate": 1.0047200265383186e-06, + "loss": 0.6256, + "step": 5666 + }, + { + "epoch": 2.41, + "learning_rate": 1.0042348791686212e-06, + "loss": 0.596, + "step": 5667 + }, + { + "epoch": 2.41, + "learning_rate": 1.0037497900127978e-06, + "loss": 0.555, + "step": 5668 + }, + { + "epoch": 2.41, + "learning_rate": 1.0032647591278088e-06, + "loss": 0.6682, + "step": 5669 + }, + { + "epoch": 2.41, + "learning_rate": 1.0027797865706072e-06, + "loss": 0.8264, + "step": 5670 + }, + { + "epoch": 2.41, + "learning_rate": 1.002294872398139e-06, + "loss": 0.7466, + "step": 5671 + }, + { + "epoch": 2.41, + "learning_rate": 1.001810016667346e-06, + "loss": 1.0534, + "step": 5672 + }, + { + "epoch": 2.41, + "learning_rate": 1.001325219435159e-06, + "loss": 0.9703, + "step": 5673 + }, + { + "epoch": 2.41, + "learning_rate": 1.0008404807585054e-06, + "loss": 0.9969, + "step": 5674 + }, + { + "epoch": 2.41, + "learning_rate": 1.0003558006943038e-06, + "loss": 0.9495, + "step": 5675 + }, + { + "epoch": 2.41, + "learning_rate": 9.99871179299466e-07, + "loss": 1.0127, + "step": 5676 + }, + { + "epoch": 2.41, + "learning_rate": 9.993866166308982e-07, + "loss": 0.7911, + "step": 5677 + }, + { + "epoch": 2.41, + "learning_rate": 9.989021127454973e-07, + "loss": 0.943, + "step": 5678 + }, + { + "epoch": 2.41, + "learning_rate": 9.984176677001569e-07, + "loss": 0.9224, + "step": 5679 + }, + { + "epoch": 2.41, + "learning_rate": 9.979332815517606e-07, + "loss": 0.9209, + "step": 5680 + }, + { + "epoch": 2.41, + "learning_rate": 9.97448954357186e-07, + "loss": 1.0427, + "step": 5681 + }, + { + "epoch": 2.41, + "learning_rate": 9.969646861733044e-07, + "loss": 1.0678, + "step": 5682 + }, + { + "epoch": 2.41, + "learning_rate": 9.964804770569794e-07, + "loss": 1.0003, + "step": 5683 + }, + { + "epoch": 2.41, + "learning_rate": 9.959963270650678e-07, + "loss": 1.0226, + "step": 5684 + }, + { + "epoch": 2.41, + "learning_rate": 9.955122362544194e-07, + "loss": 0.9695, + "step": 5685 + }, + { + "epoch": 2.41, + "learning_rate": 9.95028204681878e-07, + "loss": 0.9178, + "step": 5686 + }, + { + "epoch": 2.41, + "learning_rate": 9.945442324042792e-07, + "loss": 0.9137, + "step": 5687 + }, + { + "epoch": 2.41, + "learning_rate": 9.940603194784522e-07, + "loss": 0.7362, + "step": 5688 + }, + { + "epoch": 2.41, + "learning_rate": 9.935764659612195e-07, + "loss": 0.9433, + "step": 5689 + }, + { + "epoch": 2.42, + "learning_rate": 9.930926719093956e-07, + "loss": 0.8519, + "step": 5690 + }, + { + "epoch": 2.42, + "learning_rate": 9.926089373797888e-07, + "loss": 0.8369, + "step": 5691 + }, + { + "epoch": 2.42, + "learning_rate": 9.92125262429201e-07, + "loss": 1.0073, + "step": 5692 + }, + { + "epoch": 2.42, + "learning_rate": 9.916416471144258e-07, + "loss": 1.0991, + "step": 5693 + }, + { + "epoch": 2.42, + "learning_rate": 9.911580914922507e-07, + "loss": 0.7468, + "step": 5694 + }, + { + "epoch": 2.42, + "learning_rate": 9.90674595619456e-07, + "loss": 0.8652, + "step": 5695 + }, + { + "epoch": 2.42, + "learning_rate": 9.901911595528146e-07, + "loss": 0.9203, + "step": 5696 + }, + { + "epoch": 2.42, + "learning_rate": 9.897077833490928e-07, + "loss": 1.0501, + "step": 5697 + }, + { + "epoch": 2.42, + "learning_rate": 9.8922446706505e-07, + "loss": 1.0124, + "step": 5698 + }, + { + "epoch": 2.42, + "learning_rate": 9.887412107574376e-07, + "loss": 1.122, + "step": 5699 + }, + { + "epoch": 2.42, + "learning_rate": 9.882580144830007e-07, + "loss": 1.2016, + "step": 5700 + }, + { + "epoch": 2.42, + "learning_rate": 9.877748782984781e-07, + "loss": 0.9083, + "step": 5701 + }, + { + "epoch": 2.42, + "learning_rate": 9.872918022606007e-07, + "loss": 0.9164, + "step": 5702 + }, + { + "epoch": 2.42, + "learning_rate": 9.868087864260916e-07, + "loss": 0.8549, + "step": 5703 + }, + { + "epoch": 2.42, + "learning_rate": 9.863258308516684e-07, + "loss": 1.106, + "step": 5704 + }, + { + "epoch": 2.42, + "learning_rate": 9.858429355940405e-07, + "loss": 0.9267, + "step": 5705 + }, + { + "epoch": 2.42, + "learning_rate": 9.853601007099106e-07, + "loss": 0.9877, + "step": 5706 + }, + { + "epoch": 2.42, + "learning_rate": 9.848773262559742e-07, + "loss": 0.8867, + "step": 5707 + }, + { + "epoch": 2.42, + "learning_rate": 9.843946122889191e-07, + "loss": 1.0883, + "step": 5708 + }, + { + "epoch": 2.42, + "learning_rate": 9.839119588654282e-07, + "loss": 0.7517, + "step": 5709 + }, + { + "epoch": 2.42, + "learning_rate": 9.83429366042175e-07, + "loss": 0.8648, + "step": 5710 + }, + { + "epoch": 2.42, + "learning_rate": 9.829468338758265e-07, + "loss": 4.9295, + "step": 5711 + }, + { + "epoch": 2.42, + "learning_rate": 9.82464362423043e-07, + "loss": 0.7768, + "step": 5712 + }, + { + "epoch": 2.43, + "learning_rate": 9.81981951740477e-07, + "loss": 1.229, + "step": 5713 + }, + { + "epoch": 2.43, + "learning_rate": 9.814996018847748e-07, + "loss": 0.8507, + "step": 5714 + }, + { + "epoch": 2.43, + "learning_rate": 9.810173129125744e-07, + "loss": 0.8083, + "step": 5715 + }, + { + "epoch": 2.43, + "learning_rate": 9.805350848805079e-07, + "loss": 1.1288, + "step": 5716 + }, + { + "epoch": 2.43, + "learning_rate": 9.800529178451993e-07, + "loss": 0.9093, + "step": 5717 + }, + { + "epoch": 2.43, + "learning_rate": 9.795708118632657e-07, + "loss": 0.7488, + "step": 5718 + }, + { + "epoch": 2.43, + "learning_rate": 9.790887669913172e-07, + "loss": 0.9771, + "step": 5719 + }, + { + "epoch": 2.43, + "learning_rate": 9.786067832859568e-07, + "loss": 0.9837, + "step": 5720 + }, + { + "epoch": 2.43, + "learning_rate": 9.781248608037798e-07, + "loss": 0.6505, + "step": 5721 + }, + { + "epoch": 2.43, + "learning_rate": 9.776429996013747e-07, + "loss": 0.9533, + "step": 5722 + }, + { + "epoch": 2.43, + "learning_rate": 9.771611997353228e-07, + "loss": 1.1618, + "step": 5723 + }, + { + "epoch": 2.43, + "learning_rate": 9.766794612621985e-07, + "loss": 0.8804, + "step": 5724 + }, + { + "epoch": 2.43, + "learning_rate": 9.761977842385682e-07, + "loss": 0.8591, + "step": 5725 + }, + { + "epoch": 2.43, + "learning_rate": 9.757161687209913e-07, + "loss": 1.016, + "step": 5726 + }, + { + "epoch": 2.43, + "learning_rate": 9.752346147660208e-07, + "loss": 0.9102, + "step": 5727 + }, + { + "epoch": 2.43, + "learning_rate": 9.747531224302014e-07, + "loss": 1.0704, + "step": 5728 + }, + { + "epoch": 2.43, + "learning_rate": 9.742716917700714e-07, + "loss": 0.8974, + "step": 5729 + }, + { + "epoch": 2.43, + "learning_rate": 9.737903228421605e-07, + "loss": 0.9141, + "step": 5730 + }, + { + "epoch": 2.43, + "learning_rate": 9.733090157029936e-07, + "loss": 1.4132, + "step": 5731 + }, + { + "epoch": 2.43, + "learning_rate": 9.728277704090862e-07, + "loss": 0.8187, + "step": 5732 + }, + { + "epoch": 2.43, + "learning_rate": 9.723465870169473e-07, + "loss": 0.5881, + "step": 5733 + }, + { + "epoch": 2.43, + "learning_rate": 9.718654655830784e-07, + "loss": 0.8466, + "step": 5734 + }, + { + "epoch": 2.43, + "learning_rate": 9.713844061639738e-07, + "loss": 1.1821, + "step": 5735 + }, + { + "epoch": 2.44, + "learning_rate": 9.70903408816121e-07, + "loss": 0.9295, + "step": 5736 + }, + { + "epoch": 2.44, + "learning_rate": 9.704224735959988e-07, + "loss": 0.7644, + "step": 5737 + }, + { + "epoch": 2.44, + "learning_rate": 9.699416005600814e-07, + "loss": 0.9565, + "step": 5738 + }, + { + "epoch": 2.44, + "learning_rate": 9.69460789764833e-07, + "loss": 0.7779, + "step": 5739 + }, + { + "epoch": 2.44, + "learning_rate": 9.689800412667115e-07, + "loss": 0.9018, + "step": 5740 + }, + { + "epoch": 2.44, + "learning_rate": 9.684993551221676e-07, + "loss": 0.6847, + "step": 5741 + }, + { + "epoch": 2.44, + "learning_rate": 9.680187313876444e-07, + "loss": 0.9703, + "step": 5742 + }, + { + "epoch": 2.44, + "learning_rate": 9.675381701195782e-07, + "loss": 0.9022, + "step": 5743 + }, + { + "epoch": 2.44, + "learning_rate": 9.670576713743974e-07, + "loss": 0.8756, + "step": 5744 + }, + { + "epoch": 2.44, + "learning_rate": 9.665772352085229e-07, + "loss": 1.0295, + "step": 5745 + }, + { + "epoch": 2.44, + "learning_rate": 9.660968616783689e-07, + "loss": 0.9031, + "step": 5746 + }, + { + "epoch": 2.44, + "learning_rate": 9.656165508403423e-07, + "loss": 0.8802, + "step": 5747 + }, + { + "epoch": 2.44, + "learning_rate": 9.65136302750842e-07, + "loss": 0.7678, + "step": 5748 + }, + { + "epoch": 2.44, + "learning_rate": 9.6465611746626e-07, + "loss": 1.0276, + "step": 5749 + }, + { + "epoch": 2.44, + "learning_rate": 9.641759950429806e-07, + "loss": 1.1372, + "step": 5750 + }, + { + "epoch": 2.44, + "learning_rate": 9.636959355373807e-07, + "loss": 0.6135, + "step": 5751 + }, + { + "epoch": 2.44, + "learning_rate": 9.6321593900583e-07, + "loss": 0.6944, + "step": 5752 + }, + { + "epoch": 2.44, + "learning_rate": 9.627360055046914e-07, + "loss": 0.8763, + "step": 5753 + }, + { + "epoch": 2.44, + "learning_rate": 9.62256135090319e-07, + "loss": 1.0627, + "step": 5754 + }, + { + "epoch": 2.44, + "learning_rate": 9.617763278190608e-07, + "loss": 0.8739, + "step": 5755 + }, + { + "epoch": 2.44, + "learning_rate": 9.61296583747257e-07, + "loss": 0.7879, + "step": 5756 + }, + { + "epoch": 2.44, + "learning_rate": 9.608169029312395e-07, + "loss": 0.8761, + "step": 5757 + }, + { + "epoch": 2.44, + "learning_rate": 9.60337285427334e-07, + "loss": 0.9822, + "step": 5758 + }, + { + "epoch": 2.44, + "learning_rate": 9.598577312918585e-07, + "loss": 0.9296, + "step": 5759 + }, + { + "epoch": 2.45, + "learning_rate": 9.593782405811221e-07, + "loss": 0.8456, + "step": 5760 + }, + { + "epoch": 2.45, + "learning_rate": 9.588988133514296e-07, + "loss": 0.5821, + "step": 5761 + }, + { + "epoch": 2.45, + "learning_rate": 9.584194496590754e-07, + "loss": 1.0433, + "step": 5762 + }, + { + "epoch": 2.45, + "learning_rate": 9.579401495603475e-07, + "loss": 0.8332, + "step": 5763 + }, + { + "epoch": 2.45, + "learning_rate": 9.574609131115266e-07, + "loss": 1.1448, + "step": 5764 + }, + { + "epoch": 2.45, + "learning_rate": 9.569817403688858e-07, + "loss": 0.9922, + "step": 5765 + }, + { + "epoch": 2.45, + "learning_rate": 9.565026313886903e-07, + "loss": 0.726, + "step": 5766 + }, + { + "epoch": 2.45, + "learning_rate": 9.560235862271976e-07, + "loss": 0.848, + "step": 5767 + }, + { + "epoch": 2.45, + "learning_rate": 9.555446049406602e-07, + "loss": 1.2689, + "step": 5768 + }, + { + "epoch": 2.45, + "learning_rate": 9.550656875853196e-07, + "loss": 1.0744, + "step": 5769 + }, + { + "epoch": 2.45, + "learning_rate": 9.54586834217412e-07, + "loss": 0.9555, + "step": 5770 + }, + { + "epoch": 2.45, + "learning_rate": 9.541080448931652e-07, + "loss": 0.9321, + "step": 5771 + }, + { + "epoch": 2.45, + "learning_rate": 9.536293196687998e-07, + "loss": 1.0804, + "step": 5772 + }, + { + "epoch": 2.45, + "learning_rate": 9.531506586005288e-07, + "loss": 0.7908, + "step": 5773 + }, + { + "epoch": 2.45, + "learning_rate": 9.526720617445576e-07, + "loss": 0.8079, + "step": 5774 + }, + { + "epoch": 2.45, + "learning_rate": 9.521935291570837e-07, + "loss": 1.3369, + "step": 5775 + }, + { + "epoch": 2.45, + "learning_rate": 9.517150608942988e-07, + "loss": 1.1937, + "step": 5776 + }, + { + "epoch": 2.45, + "learning_rate": 9.512366570123847e-07, + "loss": 1.1402, + "step": 5777 + }, + { + "epoch": 2.45, + "learning_rate": 9.50758317567517e-07, + "loss": 0.9033, + "step": 5778 + }, + { + "epoch": 2.45, + "learning_rate": 9.502800426158633e-07, + "loss": 0.8485, + "step": 5779 + }, + { + "epoch": 2.45, + "learning_rate": 9.498018322135839e-07, + "loss": 1.2659, + "step": 5780 + }, + { + "epoch": 2.45, + "learning_rate": 9.493236864168313e-07, + "loss": 0.7082, + "step": 5781 + }, + { + "epoch": 2.45, + "learning_rate": 9.488456052817499e-07, + "loss": 0.8108, + "step": 5782 + }, + { + "epoch": 2.46, + "learning_rate": 9.483675888644781e-07, + "loss": 1.0428, + "step": 5783 + }, + { + "epoch": 2.46, + "learning_rate": 9.47889637221145e-07, + "loss": 1.1762, + "step": 5784 + }, + { + "epoch": 2.46, + "learning_rate": 9.47411750407873e-07, + "loss": 1.1719, + "step": 5785 + }, + { + "epoch": 2.46, + "learning_rate": 9.469339284807767e-07, + "loss": 0.8256, + "step": 5786 + }, + { + "epoch": 2.46, + "learning_rate": 9.464561714959628e-07, + "loss": 1.1009, + "step": 5787 + }, + { + "epoch": 2.46, + "learning_rate": 9.459784795095308e-07, + "loss": 1.0169, + "step": 5788 + }, + { + "epoch": 2.46, + "learning_rate": 9.455008525775725e-07, + "loss": 0.9554, + "step": 5789 + }, + { + "epoch": 2.46, + "learning_rate": 9.45023290756171e-07, + "loss": 0.8044, + "step": 5790 + }, + { + "epoch": 2.46, + "learning_rate": 9.445457941014042e-07, + "loss": 1.1016, + "step": 5791 + }, + { + "epoch": 2.46, + "learning_rate": 9.440683626693403e-07, + "loss": 0.7359, + "step": 5792 + }, + { + "epoch": 2.46, + "learning_rate": 9.4359099651604e-07, + "loss": 1.2955, + "step": 5793 + }, + { + "epoch": 2.46, + "learning_rate": 9.431136956975571e-07, + "loss": 0.7264, + "step": 5794 + }, + { + "epoch": 2.46, + "learning_rate": 9.426364602699371e-07, + "loss": 0.823, + "step": 5795 + }, + { + "epoch": 2.46, + "learning_rate": 9.421592902892184e-07, + "loss": 0.918, + "step": 5796 + }, + { + "epoch": 2.46, + "learning_rate": 9.416821858114303e-07, + "loss": 1.0281, + "step": 5797 + }, + { + "epoch": 2.46, + "learning_rate": 9.412051468925972e-07, + "loss": 0.773, + "step": 5798 + }, + { + "epoch": 2.46, + "learning_rate": 9.407281735887333e-07, + "loss": 1.062, + "step": 5799 + }, + { + "epoch": 2.46, + "learning_rate": 9.402512659558459e-07, + "loss": 0.9163, + "step": 5800 + }, + { + "epoch": 2.46, + "eval_loss": 1.254994511604309, + "eval_runtime": 32.2921, + "eval_samples_per_second": 38.554, + "eval_steps_per_second": 19.293, + "step": 5800 + }, + { + "epoch": 2.46, + "learning_rate": 9.397744240499344e-07, + "loss": 0.7872, + "step": 5801 + }, + { + "epoch": 2.46, + "learning_rate": 9.392976479269908e-07, + "loss": 0.9198, + "step": 5802 + }, + { + "epoch": 2.46, + "learning_rate": 9.388209376429994e-07, + "loss": 0.7928, + "step": 5803 + }, + { + "epoch": 2.46, + "learning_rate": 9.383442932539359e-07, + "loss": 0.7124, + "step": 5804 + }, + { + "epoch": 2.46, + "learning_rate": 9.3786771481577e-07, + "loss": 0.9956, + "step": 5805 + }, + { + "epoch": 2.47, + "learning_rate": 9.373912023844623e-07, + "loss": 0.661, + "step": 5806 + }, + { + "epoch": 2.47, + "learning_rate": 9.369147560159659e-07, + "loss": 1.1512, + "step": 5807 + }, + { + "epoch": 2.47, + "learning_rate": 9.364383757662262e-07, + "loss": 0.9678, + "step": 5808 + }, + { + "epoch": 2.47, + "learning_rate": 9.359620616911807e-07, + "loss": 0.8289, + "step": 5809 + }, + { + "epoch": 2.47, + "learning_rate": 9.354858138467596e-07, + "loss": 0.7766, + "step": 5810 + }, + { + "epoch": 2.47, + "learning_rate": 9.350096322888848e-07, + "loss": 1.0407, + "step": 5811 + }, + { + "epoch": 2.47, + "learning_rate": 9.345335170734703e-07, + "loss": 0.7063, + "step": 5812 + }, + { + "epoch": 2.47, + "learning_rate": 9.340574682564233e-07, + "loss": 0.7756, + "step": 5813 + }, + { + "epoch": 2.47, + "learning_rate": 9.335814858936424e-07, + "loss": 0.8492, + "step": 5814 + }, + { + "epoch": 2.47, + "learning_rate": 9.331055700410183e-07, + "loss": 1.204, + "step": 5815 + }, + { + "epoch": 2.47, + "learning_rate": 9.326297207544345e-07, + "loss": 1.0995, + "step": 5816 + }, + { + "epoch": 2.47, + "learning_rate": 9.321539380897652e-07, + "loss": 0.6479, + "step": 5817 + }, + { + "epoch": 2.47, + "learning_rate": 9.316782221028793e-07, + "loss": 0.9467, + "step": 5818 + }, + { + "epoch": 2.47, + "learning_rate": 9.312025728496355e-07, + "loss": 0.9558, + "step": 5819 + }, + { + "epoch": 2.47, + "learning_rate": 9.307269903858864e-07, + "loss": 0.9443, + "step": 5820 + }, + { + "epoch": 2.47, + "learning_rate": 9.302514747674754e-07, + "loss": 0.7586, + "step": 5821 + }, + { + "epoch": 2.47, + "learning_rate": 9.297760260502389e-07, + "loss": 0.7004, + "step": 5822 + }, + { + "epoch": 2.47, + "learning_rate": 9.293006442900053e-07, + "loss": 0.9509, + "step": 5823 + }, + { + "epoch": 2.47, + "learning_rate": 9.288253295425944e-07, + "loss": 0.9799, + "step": 5824 + }, + { + "epoch": 2.47, + "learning_rate": 9.283500818638194e-07, + "loss": 0.5699, + "step": 5825 + }, + { + "epoch": 2.47, + "learning_rate": 9.278749013094846e-07, + "loss": 0.7408, + "step": 5826 + }, + { + "epoch": 2.47, + "learning_rate": 9.273997879353863e-07, + "loss": 1.0885, + "step": 5827 + }, + { + "epoch": 2.47, + "learning_rate": 9.269247417973148e-07, + "loss": 0.7065, + "step": 5828 + }, + { + "epoch": 2.48, + "learning_rate": 9.264497629510501e-07, + "loss": 0.681, + "step": 5829 + }, + { + "epoch": 2.48, + "learning_rate": 9.259748514523654e-07, + "loss": 1.0489, + "step": 5830 + }, + { + "epoch": 2.48, + "learning_rate": 9.255000073570262e-07, + "loss": 0.8951, + "step": 5831 + }, + { + "epoch": 2.48, + "learning_rate": 9.250252307207893e-07, + "loss": 0.893, + "step": 5832 + }, + { + "epoch": 2.48, + "learning_rate": 9.245505215994048e-07, + "loss": 1.0024, + "step": 5833 + }, + { + "epoch": 2.48, + "learning_rate": 9.240758800486126e-07, + "loss": 1.0111, + "step": 5834 + }, + { + "epoch": 2.48, + "learning_rate": 9.23601306124148e-07, + "loss": 1.1438, + "step": 5835 + }, + { + "epoch": 2.48, + "learning_rate": 9.231267998817361e-07, + "loss": 0.7422, + "step": 5836 + }, + { + "epoch": 2.48, + "learning_rate": 9.226523613770938e-07, + "loss": 1.1649, + "step": 5837 + }, + { + "epoch": 2.48, + "learning_rate": 9.221779906659314e-07, + "loss": 0.8297, + "step": 5838 + }, + { + "epoch": 2.48, + "learning_rate": 9.217036878039503e-07, + "loss": 0.8245, + "step": 5839 + }, + { + "epoch": 2.48, + "learning_rate": 9.212294528468445e-07, + "loss": 0.7356, + "step": 5840 + }, + { + "epoch": 2.48, + "learning_rate": 9.207552858502994e-07, + "loss": 0.9133, + "step": 5841 + }, + { + "epoch": 2.48, + "learning_rate": 9.202811868699925e-07, + "loss": 1.0049, + "step": 5842 + }, + { + "epoch": 2.48, + "learning_rate": 9.198071559615942e-07, + "loss": 0.9889, + "step": 5843 + }, + { + "epoch": 2.48, + "learning_rate": 9.19333193180766e-07, + "loss": 0.9936, + "step": 5844 + }, + { + "epoch": 2.48, + "learning_rate": 9.188592985831622e-07, + "loss": 0.9316, + "step": 5845 + }, + { + "epoch": 2.48, + "learning_rate": 9.18385472224428e-07, + "loss": 0.757, + "step": 5846 + }, + { + "epoch": 2.48, + "learning_rate": 9.179117141602013e-07, + "loss": 1.2357, + "step": 5847 + }, + { + "epoch": 2.48, + "learning_rate": 9.174380244461122e-07, + "loss": 0.846, + "step": 5848 + }, + { + "epoch": 2.48, + "learning_rate": 9.169644031377818e-07, + "loss": 1.1591, + "step": 5849 + }, + { + "epoch": 2.48, + "learning_rate": 9.164908502908242e-07, + "loss": 0.8099, + "step": 5850 + }, + { + "epoch": 2.48, + "learning_rate": 9.16017365960845e-07, + "loss": 0.7981, + "step": 5851 + }, + { + "epoch": 2.49, + "learning_rate": 9.155439502034421e-07, + "loss": 0.733, + "step": 5852 + }, + { + "epoch": 2.49, + "learning_rate": 9.150706030742046e-07, + "loss": 0.9223, + "step": 5853 + }, + { + "epoch": 2.49, + "learning_rate": 9.14597324628714e-07, + "loss": 1.0449, + "step": 5854 + }, + { + "epoch": 2.49, + "learning_rate": 9.141241149225441e-07, + "loss": 0.6145, + "step": 5855 + }, + { + "epoch": 2.49, + "learning_rate": 9.1365097401126e-07, + "loss": 0.9283, + "step": 5856 + }, + { + "epoch": 2.49, + "learning_rate": 9.131779019504184e-07, + "loss": 0.8545, + "step": 5857 + }, + { + "epoch": 2.49, + "learning_rate": 9.127048987955698e-07, + "loss": 1.0627, + "step": 5858 + }, + { + "epoch": 2.49, + "learning_rate": 9.122319646022548e-07, + "loss": 1.14, + "step": 5859 + }, + { + "epoch": 2.49, + "learning_rate": 9.117590994260062e-07, + "loss": 0.7992, + "step": 5860 + }, + { + "epoch": 2.49, + "learning_rate": 9.112863033223489e-07, + "loss": 1.1175, + "step": 5861 + }, + { + "epoch": 2.49, + "learning_rate": 9.108135763467999e-07, + "loss": 0.8232, + "step": 5862 + }, + { + "epoch": 2.49, + "learning_rate": 9.103409185548678e-07, + "loss": 0.9881, + "step": 5863 + }, + { + "epoch": 2.49, + "learning_rate": 9.098683300020524e-07, + "loss": 1.055, + "step": 5864 + }, + { + "epoch": 2.49, + "learning_rate": 9.093958107438475e-07, + "loss": 0.9958, + "step": 5865 + }, + { + "epoch": 2.49, + "learning_rate": 9.08923360835737e-07, + "loss": 0.9394, + "step": 5866 + }, + { + "epoch": 2.49, + "learning_rate": 9.084509803331965e-07, + "loss": 1.0047, + "step": 5867 + }, + { + "epoch": 2.49, + "learning_rate": 9.079786692916946e-07, + "loss": 1.0145, + "step": 5868 + }, + { + "epoch": 2.49, + "learning_rate": 9.075064277666906e-07, + "loss": 0.9273, + "step": 5869 + }, + { + "epoch": 2.49, + "learning_rate": 9.070342558136364e-07, + "loss": 1.0051, + "step": 5870 + }, + { + "epoch": 2.49, + "learning_rate": 9.065621534879751e-07, + "loss": 0.6146, + "step": 5871 + }, + { + "epoch": 2.49, + "learning_rate": 9.060901208451429e-07, + "loss": 0.9508, + "step": 5872 + }, + { + "epoch": 2.49, + "learning_rate": 9.056181579405666e-07, + "loss": 0.5159, + "step": 5873 + }, + { + "epoch": 2.49, + "learning_rate": 9.051462648296652e-07, + "loss": 0.6363, + "step": 5874 + }, + { + "epoch": 2.5, + "learning_rate": 9.046744415678493e-07, + "loss": 0.6207, + "step": 5875 + }, + { + "epoch": 2.5, + "learning_rate": 9.042026882105215e-07, + "loss": 0.9515, + "step": 5876 + }, + { + "epoch": 2.5, + "learning_rate": 9.037310048130764e-07, + "loss": 0.8991, + "step": 5877 + }, + { + "epoch": 2.5, + "learning_rate": 9.032593914308994e-07, + "loss": 0.7615, + "step": 5878 + }, + { + "epoch": 2.5, + "learning_rate": 9.027878481193691e-07, + "loss": 1.0612, + "step": 5879 + }, + { + "epoch": 2.5, + "learning_rate": 9.023163749338551e-07, + "loss": 0.8829, + "step": 5880 + }, + { + "epoch": 2.5, + "learning_rate": 9.018449719297188e-07, + "loss": 1.2153, + "step": 5881 + }, + { + "epoch": 2.5, + "learning_rate": 9.013736391623136e-07, + "loss": 0.4863, + "step": 5882 + }, + { + "epoch": 2.5, + "learning_rate": 9.009023766869842e-07, + "loss": 0.8512, + "step": 5883 + }, + { + "epoch": 2.5, + "learning_rate": 9.004311845590673e-07, + "loss": 1.1605, + "step": 5884 + }, + { + "epoch": 2.5, + "learning_rate": 8.999600628338917e-07, + "loss": 0.9494, + "step": 5885 + }, + { + "epoch": 2.5, + "learning_rate": 8.994890115667765e-07, + "loss": 0.8229, + "step": 5886 + }, + { + "epoch": 2.5, + "learning_rate": 8.990180308130351e-07, + "loss": 0.7966, + "step": 5887 + }, + { + "epoch": 2.5, + "learning_rate": 8.985471206279705e-07, + "loss": 1.5166, + "step": 5888 + }, + { + "epoch": 2.5, + "learning_rate": 8.980762810668781e-07, + "loss": 1.305, + "step": 5889 + }, + { + "epoch": 2.5, + "learning_rate": 8.97605512185045e-07, + "loss": 1.0149, + "step": 5890 + }, + { + "epoch": 2.5, + "learning_rate": 8.971348140377498e-07, + "loss": 0.965, + "step": 5891 + }, + { + "epoch": 2.5, + "learning_rate": 8.966641866802631e-07, + "loss": 1.2144, + "step": 5892 + }, + { + "epoch": 2.5, + "learning_rate": 8.961936301678469e-07, + "loss": 1.1267, + "step": 5893 + }, + { + "epoch": 2.5, + "learning_rate": 8.957231445557543e-07, + "loss": 0.9579, + "step": 5894 + }, + { + "epoch": 2.5, + "learning_rate": 8.952527298992324e-07, + "loss": 0.8805, + "step": 5895 + }, + { + "epoch": 2.5, + "learning_rate": 8.947823862535174e-07, + "loss": 1.2994, + "step": 5896 + }, + { + "epoch": 2.5, + "learning_rate": 8.943121136738383e-07, + "loss": 0.8814, + "step": 5897 + }, + { + "epoch": 2.5, + "learning_rate": 8.938419122154156e-07, + "loss": 0.7733, + "step": 5898 + }, + { + "epoch": 2.51, + "learning_rate": 8.933717819334615e-07, + "loss": 1.1495, + "step": 5899 + }, + { + "epoch": 2.51, + "learning_rate": 8.929017228831794e-07, + "loss": 0.898, + "step": 5900 + }, + { + "epoch": 2.51, + "learning_rate": 8.924317351197646e-07, + "loss": 0.8665, + "step": 5901 + }, + { + "epoch": 2.51, + "learning_rate": 8.91961818698405e-07, + "loss": 0.8968, + "step": 5902 + }, + { + "epoch": 2.51, + "learning_rate": 8.914919736742787e-07, + "loss": 0.8135, + "step": 5903 + }, + { + "epoch": 2.51, + "learning_rate": 8.910222001025561e-07, + "loss": 1.1318, + "step": 5904 + }, + { + "epoch": 2.51, + "learning_rate": 8.90552498038399e-07, + "loss": 0.7661, + "step": 5905 + }, + { + "epoch": 2.51, + "learning_rate": 8.90082867536961e-07, + "loss": 0.7421, + "step": 5906 + }, + { + "epoch": 2.51, + "learning_rate": 8.896133086533869e-07, + "loss": 0.8446, + "step": 5907 + }, + { + "epoch": 2.51, + "learning_rate": 8.891438214428138e-07, + "loss": 0.4413, + "step": 5908 + }, + { + "epoch": 2.51, + "learning_rate": 8.886744059603694e-07, + "loss": 0.8975, + "step": 5909 + }, + { + "epoch": 2.51, + "learning_rate": 8.88205062261174e-07, + "loss": 0.9425, + "step": 5910 + }, + { + "epoch": 2.51, + "learning_rate": 8.877357904003392e-07, + "loss": 1.2894, + "step": 5911 + }, + { + "epoch": 2.51, + "learning_rate": 8.872665904329675e-07, + "loss": 0.8432, + "step": 5912 + }, + { + "epoch": 2.51, + "learning_rate": 8.867974624141535e-07, + "loss": 0.8542, + "step": 5913 + }, + { + "epoch": 2.51, + "learning_rate": 8.863284063989838e-07, + "loss": 1.1062, + "step": 5914 + }, + { + "epoch": 2.51, + "learning_rate": 8.858594224425347e-07, + "loss": 1.1742, + "step": 5915 + }, + { + "epoch": 2.51, + "learning_rate": 8.853905105998768e-07, + "loss": 0.7796, + "step": 5916 + }, + { + "epoch": 2.51, + "learning_rate": 8.849216709260702e-07, + "loss": 1.0989, + "step": 5917 + }, + { + "epoch": 2.51, + "learning_rate": 8.844529034761674e-07, + "loss": 0.8862, + "step": 5918 + }, + { + "epoch": 2.51, + "learning_rate": 8.839842083052119e-07, + "loss": 1.0909, + "step": 5919 + }, + { + "epoch": 2.51, + "learning_rate": 8.83515585468239e-07, + "loss": 1.0974, + "step": 5920 + }, + { + "epoch": 2.51, + "learning_rate": 8.830470350202756e-07, + "loss": 0.8694, + "step": 5921 + }, + { + "epoch": 2.52, + "learning_rate": 8.825785570163398e-07, + "loss": 1.0705, + "step": 5922 + }, + { + "epoch": 2.52, + "learning_rate": 8.821101515114412e-07, + "loss": 1.3108, + "step": 5923 + }, + { + "epoch": 2.52, + "learning_rate": 8.816418185605809e-07, + "loss": 0.7485, + "step": 5924 + }, + { + "epoch": 2.52, + "learning_rate": 8.811735582187525e-07, + "loss": 0.6066, + "step": 5925 + }, + { + "epoch": 2.52, + "learning_rate": 8.807053705409396e-07, + "loss": 0.7792, + "step": 5926 + }, + { + "epoch": 2.52, + "learning_rate": 8.80237255582118e-07, + "loss": 1.0073, + "step": 5927 + }, + { + "epoch": 2.52, + "learning_rate": 8.797692133972547e-07, + "loss": 0.6968, + "step": 5928 + }, + { + "epoch": 2.52, + "learning_rate": 8.793012440413084e-07, + "loss": 0.9631, + "step": 5929 + }, + { + "epoch": 2.52, + "learning_rate": 8.788333475692291e-07, + "loss": 1.3349, + "step": 5930 + }, + { + "epoch": 2.52, + "learning_rate": 8.783655240359576e-07, + "loss": 0.8017, + "step": 5931 + }, + { + "epoch": 2.52, + "learning_rate": 8.778977734964281e-07, + "loss": 0.69, + "step": 5932 + }, + { + "epoch": 2.52, + "learning_rate": 8.774300960055643e-07, + "loss": 0.9857, + "step": 5933 + }, + { + "epoch": 2.52, + "learning_rate": 8.769624916182821e-07, + "loss": 1.0378, + "step": 5934 + }, + { + "epoch": 2.52, + "learning_rate": 8.764949603894885e-07, + "loss": 0.8924, + "step": 5935 + }, + { + "epoch": 2.52, + "learning_rate": 8.760275023740819e-07, + "loss": 1.0818, + "step": 5936 + }, + { + "epoch": 2.52, + "learning_rate": 8.755601176269528e-07, + "loss": 1.0862, + "step": 5937 + }, + { + "epoch": 2.52, + "learning_rate": 8.750928062029819e-07, + "loss": 0.9234, + "step": 5938 + }, + { + "epoch": 2.52, + "learning_rate": 8.746255681570422e-07, + "loss": 0.4702, + "step": 5939 + }, + { + "epoch": 2.52, + "learning_rate": 8.741584035439987e-07, + "loss": 0.9426, + "step": 5940 + }, + { + "epoch": 2.52, + "learning_rate": 8.736913124187057e-07, + "loss": 1.1552, + "step": 5941 + }, + { + "epoch": 2.52, + "learning_rate": 8.732242948360115e-07, + "loss": 0.9139, + "step": 5942 + }, + { + "epoch": 2.52, + "learning_rate": 8.727573508507526e-07, + "loss": 0.6156, + "step": 5943 + }, + { + "epoch": 2.52, + "learning_rate": 8.722904805177604e-07, + "loss": 0.7885, + "step": 5944 + }, + { + "epoch": 2.53, + "learning_rate": 8.718236838918543e-07, + "loss": 1.0192, + "step": 5945 + }, + { + "epoch": 2.53, + "learning_rate": 8.713569610278477e-07, + "loss": 0.8147, + "step": 5946 + }, + { + "epoch": 2.53, + "learning_rate": 8.708903119805437e-07, + "loss": 1.1004, + "step": 5947 + }, + { + "epoch": 2.53, + "learning_rate": 8.704237368047381e-07, + "loss": 0.9874, + "step": 5948 + }, + { + "epoch": 2.53, + "learning_rate": 8.699572355552162e-07, + "loss": 0.881, + "step": 5949 + }, + { + "epoch": 2.53, + "learning_rate": 8.694908082867567e-07, + "loss": 0.974, + "step": 5950 + }, + { + "epoch": 2.53, + "learning_rate": 8.690244550541275e-07, + "loss": 1.0425, + "step": 5951 + }, + { + "epoch": 2.53, + "learning_rate": 8.685581759120898e-07, + "loss": 0.9515, + "step": 5952 + }, + { + "epoch": 2.53, + "learning_rate": 8.680919709153942e-07, + "loss": 0.9601, + "step": 5953 + }, + { + "epoch": 2.53, + "learning_rate": 8.67625840118784e-07, + "loss": 0.8799, + "step": 5954 + }, + { + "epoch": 2.53, + "learning_rate": 8.67159783576994e-07, + "loss": 0.9174, + "step": 5955 + }, + { + "epoch": 2.53, + "learning_rate": 8.666938013447484e-07, + "loss": 1.0619, + "step": 5956 + }, + { + "epoch": 2.53, + "learning_rate": 8.662278934767646e-07, + "loss": 0.9349, + "step": 5957 + }, + { + "epoch": 2.53, + "learning_rate": 8.657620600277511e-07, + "loss": 1.2058, + "step": 5958 + }, + { + "epoch": 2.53, + "learning_rate": 8.652963010524057e-07, + "loss": 0.8883, + "step": 5959 + }, + { + "epoch": 2.53, + "learning_rate": 8.648306166054205e-07, + "loss": 1.0495, + "step": 5960 + }, + { + "epoch": 2.53, + "learning_rate": 8.643650067414759e-07, + "loss": 1.4784, + "step": 5961 + }, + { + "epoch": 2.53, + "learning_rate": 8.638994715152452e-07, + "loss": 1.0604, + "step": 5962 + }, + { + "epoch": 2.53, + "learning_rate": 8.634340109813935e-07, + "loss": 0.7977, + "step": 5963 + }, + { + "epoch": 2.53, + "learning_rate": 8.629686251945752e-07, + "loss": 0.8536, + "step": 5964 + }, + { + "epoch": 2.53, + "learning_rate": 8.625033142094376e-07, + "loss": 1.1721, + "step": 5965 + }, + { + "epoch": 2.53, + "learning_rate": 8.62038078080618e-07, + "loss": 0.8995, + "step": 5966 + }, + { + "epoch": 2.53, + "learning_rate": 8.615729168627462e-07, + "loss": 0.6846, + "step": 5967 + }, + { + "epoch": 2.54, + "learning_rate": 8.611078306104409e-07, + "loss": 0.945, + "step": 5968 + }, + { + "epoch": 2.54, + "learning_rate": 8.606428193783161e-07, + "loss": 0.9723, + "step": 5969 + }, + { + "epoch": 2.54, + "learning_rate": 8.601778832209723e-07, + "loss": 1.0181, + "step": 5970 + }, + { + "epoch": 2.54, + "learning_rate": 8.597130221930052e-07, + "loss": 1.0815, + "step": 5971 + }, + { + "epoch": 2.54, + "learning_rate": 8.59248236348998e-07, + "loss": 0.9428, + "step": 5972 + }, + { + "epoch": 2.54, + "learning_rate": 8.587835257435285e-07, + "loss": 1.0334, + "step": 5973 + }, + { + "epoch": 2.54, + "learning_rate": 8.583188904311628e-07, + "loss": 0.9926, + "step": 5974 + }, + { + "epoch": 2.54, + "learning_rate": 8.578543304664605e-07, + "loss": 0.9538, + "step": 5975 + }, + { + "epoch": 2.54, + "learning_rate": 8.573898459039698e-07, + "loss": 0.7467, + "step": 5976 + }, + { + "epoch": 2.54, + "learning_rate": 8.569254367982336e-07, + "loss": 1.1127, + "step": 5977 + }, + { + "epoch": 2.54, + "learning_rate": 8.564611032037824e-07, + "loss": 0.8656, + "step": 5978 + }, + { + "epoch": 2.54, + "learning_rate": 8.5599684517514e-07, + "loss": 0.7794, + "step": 5979 + }, + { + "epoch": 2.54, + "learning_rate": 8.5553266276682e-07, + "loss": 0.7362, + "step": 5980 + }, + { + "epoch": 2.54, + "learning_rate": 8.550685560333287e-07, + "loss": 0.7002, + "step": 5981 + }, + { + "epoch": 2.54, + "learning_rate": 8.546045250291614e-07, + "loss": 0.9441, + "step": 5982 + }, + { + "epoch": 2.54, + "learning_rate": 8.541405698088062e-07, + "loss": 0.7756, + "step": 5983 + }, + { + "epoch": 2.54, + "learning_rate": 8.53676690426742e-07, + "loss": 1.1561, + "step": 5984 + }, + { + "epoch": 2.54, + "learning_rate": 8.532128869374392e-07, + "loss": 0.7359, + "step": 5985 + }, + { + "epoch": 2.54, + "learning_rate": 8.527491593953571e-07, + "loss": 0.9637, + "step": 5986 + }, + { + "epoch": 2.54, + "learning_rate": 8.52285507854949e-07, + "loss": 1.2135, + "step": 5987 + }, + { + "epoch": 2.54, + "learning_rate": 8.51821932370657e-07, + "loss": 0.6531, + "step": 5988 + }, + { + "epoch": 2.54, + "learning_rate": 8.513584329969162e-07, + "loss": 0.9435, + "step": 5989 + }, + { + "epoch": 2.54, + "learning_rate": 8.508950097881504e-07, + "loss": 1.0946, + "step": 5990 + }, + { + "epoch": 2.55, + "learning_rate": 8.504316627987764e-07, + "loss": 0.7415, + "step": 5991 + }, + { + "epoch": 2.55, + "learning_rate": 8.499683920832024e-07, + "loss": 0.8021, + "step": 5992 + }, + { + "epoch": 2.55, + "learning_rate": 8.495051976958255e-07, + "loss": 0.9517, + "step": 5993 + }, + { + "epoch": 2.55, + "learning_rate": 8.490420796910357e-07, + "loss": 1.2423, + "step": 5994 + }, + { + "epoch": 2.55, + "learning_rate": 8.485790381232128e-07, + "loss": 1.043, + "step": 5995 + }, + { + "epoch": 2.55, + "learning_rate": 8.481160730467292e-07, + "loss": 1.1528, + "step": 5996 + }, + { + "epoch": 2.55, + "learning_rate": 8.476531845159458e-07, + "loss": 0.9018, + "step": 5997 + }, + { + "epoch": 2.55, + "learning_rate": 8.471903725852169e-07, + "loss": 0.8304, + "step": 5998 + }, + { + "epoch": 2.55, + "learning_rate": 8.467276373088872e-07, + "loss": 0.9868, + "step": 5999 + }, + { + "epoch": 2.55, + "learning_rate": 8.462649787412922e-07, + "loss": 1.1099, + "step": 6000 + }, + { + "epoch": 2.55, + "learning_rate": 8.458023969367576e-07, + "loss": 0.8922, + "step": 6001 + }, + { + "epoch": 2.55, + "learning_rate": 8.453398919496015e-07, + "loss": 0.7979, + "step": 6002 + }, + { + "epoch": 2.55, + "learning_rate": 8.448774638341314e-07, + "loss": 1.1917, + "step": 6003 + }, + { + "epoch": 2.55, + "learning_rate": 8.444151126446482e-07, + "loss": 1.0601, + "step": 6004 + }, + { + "epoch": 2.55, + "learning_rate": 8.439528384354398e-07, + "loss": 0.8784, + "step": 6005 + }, + { + "epoch": 2.55, + "learning_rate": 8.434906412607904e-07, + "loss": 0.8427, + "step": 6006 + }, + { + "epoch": 2.55, + "learning_rate": 8.4302852117497e-07, + "loss": 1.156, + "step": 6007 + }, + { + "epoch": 2.55, + "learning_rate": 8.425664782322433e-07, + "loss": 1.1157, + "step": 6008 + }, + { + "epoch": 2.55, + "learning_rate": 8.421045124868633e-07, + "loss": 0.82, + "step": 6009 + }, + { + "epoch": 2.55, + "learning_rate": 8.41642623993076e-07, + "loss": 0.9313, + "step": 6010 + }, + { + "epoch": 2.55, + "learning_rate": 8.411808128051164e-07, + "loss": 1.5779, + "step": 6011 + }, + { + "epoch": 2.55, + "learning_rate": 8.407190789772126e-07, + "loss": 1.1395, + "step": 6012 + }, + { + "epoch": 2.55, + "learning_rate": 8.402574225635805e-07, + "loss": 0.6281, + "step": 6013 + }, + { + "epoch": 2.56, + "learning_rate": 8.397958436184315e-07, + "loss": 0.6887, + "step": 6014 + }, + { + "epoch": 2.56, + "learning_rate": 8.393343421959632e-07, + "loss": 1.009, + "step": 6015 + }, + { + "epoch": 2.56, + "learning_rate": 8.388729183503676e-07, + "loss": 0.9951, + "step": 6016 + }, + { + "epoch": 2.56, + "learning_rate": 8.384115721358247e-07, + "loss": 0.7307, + "step": 6017 + }, + { + "epoch": 2.56, + "learning_rate": 8.379503036065083e-07, + "loss": 0.6663, + "step": 6018 + }, + { + "epoch": 2.56, + "learning_rate": 8.374891128165799e-07, + "loss": 0.8795, + "step": 6019 + }, + { + "epoch": 2.56, + "learning_rate": 8.370279998201948e-07, + "loss": 1.1275, + "step": 6020 + }, + { + "epoch": 2.56, + "learning_rate": 8.365669646714984e-07, + "loss": 0.9172, + "step": 6021 + }, + { + "epoch": 2.56, + "learning_rate": 8.361060074246249e-07, + "loss": 0.84, + "step": 6022 + }, + { + "epoch": 2.56, + "learning_rate": 8.356451281337026e-07, + "loss": 1.0383, + "step": 6023 + }, + { + "epoch": 2.56, + "learning_rate": 8.351843268528475e-07, + "loss": 0.7674, + "step": 6024 + }, + { + "epoch": 2.56, + "learning_rate": 8.347236036361693e-07, + "loss": 0.7571, + "step": 6025 + }, + { + "epoch": 2.56, + "learning_rate": 8.342629585377659e-07, + "loss": 0.689, + "step": 6026 + }, + { + "epoch": 2.56, + "learning_rate": 8.338023916117278e-07, + "loss": 0.971, + "step": 6027 + }, + { + "epoch": 2.56, + "learning_rate": 8.333419029121363e-07, + "loss": 0.9754, + "step": 6028 + }, + { + "epoch": 2.56, + "learning_rate": 8.328814924930628e-07, + "loss": 1.174, + "step": 6029 + }, + { + "epoch": 2.56, + "learning_rate": 8.324211604085697e-07, + "loss": 0.9549, + "step": 6030 + }, + { + "epoch": 2.56, + "learning_rate": 8.319609067127102e-07, + "loss": 0.9645, + "step": 6031 + }, + { + "epoch": 2.56, + "learning_rate": 8.31500731459528e-07, + "loss": 0.7902, + "step": 6032 + }, + { + "epoch": 2.56, + "learning_rate": 8.310406347030588e-07, + "loss": 1.2499, + "step": 6033 + }, + { + "epoch": 2.56, + "learning_rate": 8.305806164973271e-07, + "loss": 1.0968, + "step": 6034 + }, + { + "epoch": 2.56, + "learning_rate": 8.301206768963496e-07, + "loss": 0.9176, + "step": 6035 + }, + { + "epoch": 2.56, + "learning_rate": 8.29660815954134e-07, + "loss": 0.903, + "step": 6036 + }, + { + "epoch": 2.56, + "learning_rate": 8.292010337246785e-07, + "loss": 1.259, + "step": 6037 + }, + { + "epoch": 2.57, + "learning_rate": 8.287413302619706e-07, + "loss": 0.8005, + "step": 6038 + }, + { + "epoch": 2.57, + "learning_rate": 8.282817056199908e-07, + "loss": 0.9607, + "step": 6039 + }, + { + "epoch": 2.57, + "learning_rate": 8.278221598527086e-07, + "loss": 1.1205, + "step": 6040 + }, + { + "epoch": 2.57, + "learning_rate": 8.273626930140853e-07, + "loss": 0.8166, + "step": 6041 + }, + { + "epoch": 2.57, + "learning_rate": 8.269033051580721e-07, + "loss": 0.78, + "step": 6042 + }, + { + "epoch": 2.57, + "learning_rate": 8.264439963386116e-07, + "loss": 0.6601, + "step": 6043 + }, + { + "epoch": 2.57, + "learning_rate": 8.259847666096368e-07, + "loss": 1.139, + "step": 6044 + }, + { + "epoch": 2.57, + "learning_rate": 8.255256160250725e-07, + "loss": 0.9817, + "step": 6045 + }, + { + "epoch": 2.57, + "learning_rate": 8.250665446388315e-07, + "loss": 0.97, + "step": 6046 + }, + { + "epoch": 2.57, + "learning_rate": 8.246075525048207e-07, + "loss": 1.127, + "step": 6047 + }, + { + "epoch": 2.57, + "learning_rate": 8.241486396769343e-07, + "loss": 0.9558, + "step": 6048 + }, + { + "epoch": 2.57, + "learning_rate": 8.236898062090607e-07, + "loss": 1.1192, + "step": 6049 + }, + { + "epoch": 2.57, + "learning_rate": 8.232310521550755e-07, + "loss": 1.1713, + "step": 6050 + }, + { + "epoch": 2.57, + "learning_rate": 8.227723775688475e-07, + "loss": 0.9249, + "step": 6051 + }, + { + "epoch": 2.57, + "learning_rate": 8.223137825042356e-07, + "loss": 1.2035, + "step": 6052 + }, + { + "epoch": 2.57, + "learning_rate": 8.218552670150884e-07, + "loss": 0.8998, + "step": 6053 + }, + { + "epoch": 2.57, + "learning_rate": 8.213968311552459e-07, + "loss": 1.0464, + "step": 6054 + }, + { + "epoch": 2.57, + "learning_rate": 8.209384749785396e-07, + "loss": 0.8578, + "step": 6055 + }, + { + "epoch": 2.57, + "learning_rate": 8.204801985387895e-07, + "loss": 0.7735, + "step": 6056 + }, + { + "epoch": 2.57, + "learning_rate": 8.200220018898081e-07, + "loss": 0.9546, + "step": 6057 + }, + { + "epoch": 2.57, + "learning_rate": 8.195638850853981e-07, + "loss": 0.7995, + "step": 6058 + }, + { + "epoch": 2.57, + "learning_rate": 8.191058481793522e-07, + "loss": 0.6203, + "step": 6059 + }, + { + "epoch": 2.57, + "learning_rate": 8.186478912254545e-07, + "loss": 0.6662, + "step": 6060 + }, + { + "epoch": 2.58, + "learning_rate": 8.181900142774786e-07, + "loss": 0.9896, + "step": 6061 + }, + { + "epoch": 2.58, + "learning_rate": 8.177322173891907e-07, + "loss": 1.1268, + "step": 6062 + }, + { + "epoch": 2.58, + "learning_rate": 8.172745006143451e-07, + "loss": 0.8108, + "step": 6063 + }, + { + "epoch": 2.58, + "learning_rate": 8.168168640066891e-07, + "loss": 0.7803, + "step": 6064 + }, + { + "epoch": 2.58, + "learning_rate": 8.163593076199575e-07, + "loss": 0.8598, + "step": 6065 + }, + { + "epoch": 2.58, + "learning_rate": 8.159018315078803e-07, + "loss": 1.0163, + "step": 6066 + }, + { + "epoch": 2.58, + "learning_rate": 8.154444357241734e-07, + "loss": 0.9762, + "step": 6067 + }, + { + "epoch": 2.58, + "learning_rate": 8.149871203225464e-07, + "loss": 1.0154, + "step": 6068 + }, + { + "epoch": 2.58, + "learning_rate": 8.145298853566973e-07, + "loss": 1.2579, + "step": 6069 + }, + { + "epoch": 2.58, + "learning_rate": 8.140727308803169e-07, + "loss": 1.2139, + "step": 6070 + }, + { + "epoch": 2.58, + "learning_rate": 8.136156569470838e-07, + "loss": 0.9935, + "step": 6071 + }, + { + "epoch": 2.58, + "learning_rate": 8.131586636106698e-07, + "loss": 0.9222, + "step": 6072 + }, + { + "epoch": 2.58, + "learning_rate": 8.127017509247357e-07, + "loss": 0.8346, + "step": 6073 + }, + { + "epoch": 2.58, + "learning_rate": 8.122449189429337e-07, + "loss": 0.85, + "step": 6074 + }, + { + "epoch": 2.58, + "learning_rate": 8.117881677189053e-07, + "loss": 0.5385, + "step": 6075 + }, + { + "epoch": 2.58, + "learning_rate": 8.113314973062841e-07, + "loss": 0.9457, + "step": 6076 + }, + { + "epoch": 2.58, + "learning_rate": 8.108749077586926e-07, + "loss": 1.0242, + "step": 6077 + }, + { + "epoch": 2.58, + "learning_rate": 8.104183991297452e-07, + "loss": 1.0322, + "step": 6078 + }, + { + "epoch": 2.58, + "learning_rate": 8.099619714730454e-07, + "loss": 1.1153, + "step": 6079 + }, + { + "epoch": 2.58, + "learning_rate": 8.095056248421887e-07, + "loss": 0.654, + "step": 6080 + }, + { + "epoch": 2.58, + "learning_rate": 8.090493592907605e-07, + "loss": 1.4159, + "step": 6081 + }, + { + "epoch": 2.58, + "learning_rate": 8.085931748723358e-07, + "loss": 0.9648, + "step": 6082 + }, + { + "epoch": 2.58, + "learning_rate": 8.08137071640481e-07, + "loss": 0.7654, + "step": 6083 + }, + { + "epoch": 2.59, + "learning_rate": 8.076810496487537e-07, + "loss": 0.7458, + "step": 6084 + }, + { + "epoch": 2.59, + "learning_rate": 8.072251089507e-07, + "loss": 1.0148, + "step": 6085 + }, + { + "epoch": 2.59, + "learning_rate": 8.067692495998582e-07, + "loss": 1.0618, + "step": 6086 + }, + { + "epoch": 2.59, + "learning_rate": 8.063134716497553e-07, + "loss": 0.8812, + "step": 6087 + }, + { + "epoch": 2.59, + "learning_rate": 8.058577751539108e-07, + "loss": 1.3118, + "step": 6088 + }, + { + "epoch": 2.59, + "learning_rate": 8.054021601658336e-07, + "loss": 0.7818, + "step": 6089 + }, + { + "epoch": 2.59, + "learning_rate": 8.049466267390224e-07, + "loss": 0.8063, + "step": 6090 + }, + { + "epoch": 2.59, + "learning_rate": 8.044911749269677e-07, + "loss": 0.5875, + "step": 6091 + }, + { + "epoch": 2.59, + "learning_rate": 8.040358047831489e-07, + "loss": 0.805, + "step": 6092 + }, + { + "epoch": 2.59, + "learning_rate": 8.035805163610376e-07, + "loss": 0.6556, + "step": 6093 + }, + { + "epoch": 2.59, + "learning_rate": 8.031253097140937e-07, + "loss": 1.0155, + "step": 6094 + }, + { + "epoch": 2.59, + "learning_rate": 8.02670184895769e-07, + "loss": 1.0623, + "step": 6095 + }, + { + "epoch": 2.59, + "learning_rate": 8.022151419595055e-07, + "loss": 1.074, + "step": 6096 + }, + { + "epoch": 2.59, + "learning_rate": 8.01760180958736e-07, + "loss": 1.0997, + "step": 6097 + }, + { + "epoch": 2.59, + "learning_rate": 8.013053019468817e-07, + "loss": 0.9029, + "step": 6098 + }, + { + "epoch": 2.59, + "learning_rate": 8.008505049773569e-07, + "loss": 1.0979, + "step": 6099 + }, + { + "epoch": 2.59, + "learning_rate": 8.003957901035635e-07, + "loss": 1.2684, + "step": 6100 + }, + { + "epoch": 2.59, + "learning_rate": 7.999411573788965e-07, + "loss": 0.8139, + "step": 6101 + }, + { + "epoch": 2.59, + "learning_rate": 7.994866068567381e-07, + "loss": 0.8254, + "step": 6102 + }, + { + "epoch": 2.59, + "learning_rate": 7.990321385904652e-07, + "loss": 0.9024, + "step": 6103 + }, + { + "epoch": 2.59, + "learning_rate": 7.985777526334405e-07, + "loss": 0.8529, + "step": 6104 + }, + { + "epoch": 2.59, + "learning_rate": 7.981234490390202e-07, + "loss": 0.7159, + "step": 6105 + }, + { + "epoch": 2.59, + "learning_rate": 7.976692278605487e-07, + "loss": 0.6895, + "step": 6106 + }, + { + "epoch": 2.6, + "learning_rate": 7.972150891513625e-07, + "loss": 0.8559, + "step": 6107 + }, + { + "epoch": 2.6, + "learning_rate": 7.96761032964787e-07, + "loss": 0.9732, + "step": 6108 + }, + { + "epoch": 2.6, + "learning_rate": 7.963070593541392e-07, + "loss": 1.0929, + "step": 6109 + }, + { + "epoch": 2.6, + "learning_rate": 7.958531683727242e-07, + "loss": 1.1632, + "step": 6110 + }, + { + "epoch": 2.6, + "learning_rate": 7.95399360073841e-07, + "loss": 0.7755, + "step": 6111 + }, + { + "epoch": 2.6, + "learning_rate": 7.949456345107753e-07, + "loss": 0.7484, + "step": 6112 + }, + { + "epoch": 2.6, + "learning_rate": 7.944919917368057e-07, + "loss": 0.5925, + "step": 6113 + }, + { + "epoch": 2.6, + "learning_rate": 7.940384318051987e-07, + "loss": 0.8435, + "step": 6114 + }, + { + "epoch": 2.6, + "learning_rate": 7.935849547692139e-07, + "loss": 0.819, + "step": 6115 + }, + { + "epoch": 2.6, + "learning_rate": 7.931315606820981e-07, + "loss": 0.7938, + "step": 6116 + }, + { + "epoch": 2.6, + "learning_rate": 7.926782495970903e-07, + "loss": 0.8905, + "step": 6117 + }, + { + "epoch": 2.6, + "learning_rate": 7.9222502156742e-07, + "loss": 0.9742, + "step": 6118 + }, + { + "epoch": 2.6, + "learning_rate": 7.917718766463055e-07, + "loss": 0.7419, + "step": 6119 + }, + { + "epoch": 2.6, + "learning_rate": 7.913188148869569e-07, + "loss": 0.9065, + "step": 6120 + }, + { + "epoch": 2.6, + "learning_rate": 7.908658363425728e-07, + "loss": 0.7579, + "step": 6121 + }, + { + "epoch": 2.6, + "learning_rate": 7.904129410663438e-07, + "loss": 0.8065, + "step": 6122 + }, + { + "epoch": 2.6, + "learning_rate": 7.899601291114493e-07, + "loss": 0.8377, + "step": 6123 + }, + { + "epoch": 2.6, + "learning_rate": 7.895074005310593e-07, + "loss": 0.8431, + "step": 6124 + }, + { + "epoch": 2.6, + "learning_rate": 7.890547553783349e-07, + "loss": 1.0297, + "step": 6125 + }, + { + "epoch": 2.6, + "learning_rate": 7.886021937064271e-07, + "loss": 0.5958, + "step": 6126 + }, + { + "epoch": 2.6, + "learning_rate": 7.881497155684755e-07, + "loss": 1.0966, + "step": 6127 + }, + { + "epoch": 2.6, + "learning_rate": 7.876973210176123e-07, + "loss": 0.8661, + "step": 6128 + }, + { + "epoch": 2.6, + "learning_rate": 7.872450101069578e-07, + "loss": 0.8658, + "step": 6129 + }, + { + "epoch": 2.61, + "learning_rate": 7.86792782889624e-07, + "loss": 0.8498, + "step": 6130 + }, + { + "epoch": 2.61, + "learning_rate": 7.863406394187119e-07, + "loss": 1.0911, + "step": 6131 + }, + { + "epoch": 2.61, + "learning_rate": 7.858885797473132e-07, + "loss": 1.2841, + "step": 6132 + }, + { + "epoch": 2.61, + "learning_rate": 7.854366039285104e-07, + "loss": 0.6827, + "step": 6133 + }, + { + "epoch": 2.61, + "learning_rate": 7.849847120153756e-07, + "loss": 0.7304, + "step": 6134 + }, + { + "epoch": 2.61, + "learning_rate": 7.845329040609701e-07, + "loss": 0.9298, + "step": 6135 + }, + { + "epoch": 2.61, + "learning_rate": 7.840811801183472e-07, + "loss": 0.6544, + "step": 6136 + }, + { + "epoch": 2.61, + "learning_rate": 7.836295402405484e-07, + "loss": 1.0409, + "step": 6137 + }, + { + "epoch": 2.61, + "learning_rate": 7.831779844806074e-07, + "loss": 0.7958, + "step": 6138 + }, + { + "epoch": 2.61, + "learning_rate": 7.827265128915449e-07, + "loss": 1.1603, + "step": 6139 + }, + { + "epoch": 2.61, + "learning_rate": 7.822751255263765e-07, + "loss": 0.9354, + "step": 6140 + }, + { + "epoch": 2.61, + "learning_rate": 7.81823822438103e-07, + "loss": 0.8882, + "step": 6141 + }, + { + "epoch": 2.61, + "learning_rate": 7.813726036797188e-07, + "loss": 1.0379, + "step": 6142 + }, + { + "epoch": 2.61, + "learning_rate": 7.80921469304206e-07, + "loss": 0.5655, + "step": 6143 + }, + { + "epoch": 2.61, + "learning_rate": 7.804704193645386e-07, + "loss": 1.1281, + "step": 6144 + }, + { + "epoch": 2.61, + "learning_rate": 7.800194539136792e-07, + "loss": 0.9646, + "step": 6145 + }, + { + "epoch": 2.61, + "learning_rate": 7.795685730045821e-07, + "loss": 0.757, + "step": 6146 + }, + { + "epoch": 2.61, + "learning_rate": 7.791177766901895e-07, + "loss": 1.0194, + "step": 6147 + }, + { + "epoch": 2.61, + "learning_rate": 7.786670650234357e-07, + "loss": 0.9646, + "step": 6148 + }, + { + "epoch": 2.61, + "learning_rate": 7.78216438057245e-07, + "loss": 1.0538, + "step": 6149 + }, + { + "epoch": 2.61, + "learning_rate": 7.777658958445296e-07, + "loss": 1.1038, + "step": 6150 + }, + { + "epoch": 2.61, + "learning_rate": 7.773154384381943e-07, + "loss": 1.1907, + "step": 6151 + }, + { + "epoch": 2.61, + "learning_rate": 7.768650658911321e-07, + "loss": 0.9753, + "step": 6152 + }, + { + "epoch": 2.62, + "learning_rate": 7.764147782562272e-07, + "loss": 0.8311, + "step": 6153 + }, + { + "epoch": 2.62, + "learning_rate": 7.75964575586353e-07, + "loss": 1.1428, + "step": 6154 + }, + { + "epoch": 2.62, + "learning_rate": 7.755144579343744e-07, + "loss": 0.9182, + "step": 6155 + }, + { + "epoch": 2.62, + "learning_rate": 7.750644253531439e-07, + "loss": 0.7168, + "step": 6156 + }, + { + "epoch": 2.62, + "learning_rate": 7.746144778955066e-07, + "loss": 0.7318, + "step": 6157 + }, + { + "epoch": 2.62, + "learning_rate": 7.74164615614295e-07, + "loss": 0.8546, + "step": 6158 + }, + { + "epoch": 2.62, + "learning_rate": 7.737148385623343e-07, + "loss": 0.8163, + "step": 6159 + }, + { + "epoch": 2.62, + "learning_rate": 7.732651467924371e-07, + "loss": 0.9282, + "step": 6160 + }, + { + "epoch": 2.62, + "learning_rate": 7.728155403574084e-07, + "loss": 1.061, + "step": 6161 + }, + { + "epoch": 2.62, + "learning_rate": 7.723660193100404e-07, + "loss": 0.8776, + "step": 6162 + }, + { + "epoch": 2.62, + "learning_rate": 7.71916583703119e-07, + "loss": 0.8504, + "step": 6163 + }, + { + "epoch": 2.62, + "learning_rate": 7.714672335894165e-07, + "loss": 0.9459, + "step": 6164 + }, + { + "epoch": 2.62, + "learning_rate": 7.710179690216972e-07, + "loss": 1.0773, + "step": 6165 + }, + { + "epoch": 2.62, + "learning_rate": 7.705687900527145e-07, + "loss": 0.9314, + "step": 6166 + }, + { + "epoch": 2.62, + "learning_rate": 7.701196967352124e-07, + "loss": 0.7457, + "step": 6167 + }, + { + "epoch": 2.62, + "learning_rate": 7.696706891219238e-07, + "loss": 0.8716, + "step": 6168 + }, + { + "epoch": 2.62, + "learning_rate": 7.692217672655726e-07, + "loss": 0.7645, + "step": 6169 + }, + { + "epoch": 2.62, + "learning_rate": 7.687729312188721e-07, + "loss": 0.9888, + "step": 6170 + }, + { + "epoch": 2.62, + "learning_rate": 7.683241810345261e-07, + "loss": 0.8454, + "step": 6171 + }, + { + "epoch": 2.62, + "learning_rate": 7.678755167652271e-07, + "loss": 0.6774, + "step": 6172 + }, + { + "epoch": 2.62, + "learning_rate": 7.674269384636595e-07, + "loss": 0.6327, + "step": 6173 + }, + { + "epoch": 2.62, + "learning_rate": 7.66978446182495e-07, + "loss": 0.977, + "step": 6174 + }, + { + "epoch": 2.62, + "learning_rate": 7.665300399743977e-07, + "loss": 1.1175, + "step": 6175 + }, + { + "epoch": 2.62, + "learning_rate": 7.660817198920194e-07, + "loss": 1.0265, + "step": 6176 + }, + { + "epoch": 2.63, + "learning_rate": 7.656334859880034e-07, + "loss": 1.1755, + "step": 6177 + }, + { + "epoch": 2.63, + "learning_rate": 7.651853383149832e-07, + "loss": 0.967, + "step": 6178 + }, + { + "epoch": 2.63, + "learning_rate": 7.647372769255797e-07, + "loss": 1.2477, + "step": 6179 + }, + { + "epoch": 2.63, + "learning_rate": 7.642893018724063e-07, + "loss": 0.5992, + "step": 6180 + }, + { + "epoch": 2.63, + "learning_rate": 7.638414132080657e-07, + "loss": 0.9308, + "step": 6181 + }, + { + "epoch": 2.63, + "learning_rate": 7.633936109851485e-07, + "loss": 0.7956, + "step": 6182 + }, + { + "epoch": 2.63, + "learning_rate": 7.629458952562383e-07, + "loss": 0.8906, + "step": 6183 + }, + { + "epoch": 2.63, + "learning_rate": 7.624982660739056e-07, + "loss": 0.8844, + "step": 6184 + }, + { + "epoch": 2.63, + "learning_rate": 7.620507234907127e-07, + "loss": 0.7549, + "step": 6185 + }, + { + "epoch": 2.63, + "learning_rate": 7.616032675592113e-07, + "loss": 0.8041, + "step": 6186 + }, + { + "epoch": 2.63, + "learning_rate": 7.61155898331942e-07, + "loss": 1.0564, + "step": 6187 + }, + { + "epoch": 2.63, + "learning_rate": 7.607086158614368e-07, + "loss": 0.8075, + "step": 6188 + }, + { + "epoch": 2.63, + "learning_rate": 7.602614202002154e-07, + "loss": 0.8859, + "step": 6189 + }, + { + "epoch": 2.63, + "learning_rate": 7.598143114007901e-07, + "loss": 1.1408, + "step": 6190 + }, + { + "epoch": 2.63, + "learning_rate": 7.593672895156592e-07, + "loss": 0.6577, + "step": 6191 + }, + { + "epoch": 2.63, + "learning_rate": 7.589203545973157e-07, + "loss": 0.8587, + "step": 6192 + }, + { + "epoch": 2.63, + "learning_rate": 7.584735066982377e-07, + "loss": 0.9754, + "step": 6193 + }, + { + "epoch": 2.63, + "learning_rate": 7.580267458708965e-07, + "loss": 0.8323, + "step": 6194 + }, + { + "epoch": 2.63, + "learning_rate": 7.575800721677505e-07, + "loss": 1.0972, + "step": 6195 + }, + { + "epoch": 2.63, + "learning_rate": 7.571334856412504e-07, + "loss": 0.9797, + "step": 6196 + }, + { + "epoch": 2.63, + "learning_rate": 7.566869863438343e-07, + "loss": 0.7978, + "step": 6197 + }, + { + "epoch": 2.63, + "learning_rate": 7.562405743279322e-07, + "loss": 0.9029, + "step": 6198 + }, + { + "epoch": 2.63, + "learning_rate": 7.557942496459609e-07, + "loss": 1.0203, + "step": 6199 + }, + { + "epoch": 2.64, + "learning_rate": 7.553480123503315e-07, + "loss": 0.8432, + "step": 6200 + }, + { + "epoch": 2.64, + "learning_rate": 7.549018624934405e-07, + "loss": 0.9743, + "step": 6201 + }, + { + "epoch": 2.64, + "learning_rate": 7.544558001276767e-07, + "loss": 1.0888, + "step": 6202 + }, + { + "epoch": 2.64, + "learning_rate": 7.540098253054169e-07, + "loss": 0.9389, + "step": 6203 + }, + { + "epoch": 2.64, + "learning_rate": 7.535639380790293e-07, + "loss": 1.1883, + "step": 6204 + }, + { + "epoch": 2.64, + "learning_rate": 7.531181385008699e-07, + "loss": 0.8739, + "step": 6205 + }, + { + "epoch": 2.64, + "learning_rate": 7.526724266232865e-07, + "loss": 0.8931, + "step": 6206 + }, + { + "epoch": 2.64, + "learning_rate": 7.522268024986153e-07, + "loss": 1.2542, + "step": 6207 + }, + { + "epoch": 2.64, + "learning_rate": 7.51781266179183e-07, + "loss": 1.158, + "step": 6208 + }, + { + "epoch": 2.64, + "learning_rate": 7.513358177173047e-07, + "loss": 4.2794, + "step": 6209 + }, + { + "epoch": 2.64, + "learning_rate": 7.508904571652865e-07, + "loss": 0.9358, + "step": 6210 + }, + { + "epoch": 2.64, + "learning_rate": 7.504451845754232e-07, + "loss": 0.8334, + "step": 6211 + }, + { + "epoch": 2.64, + "learning_rate": 7.500000000000003e-07, + "loss": 0.6875, + "step": 6212 + }, + { + "epoch": 2.64, + "learning_rate": 7.495549034912916e-07, + "loss": 1.2984, + "step": 6213 + }, + { + "epoch": 2.64, + "learning_rate": 7.49109895101562e-07, + "loss": 1.1817, + "step": 6214 + }, + { + "epoch": 2.64, + "learning_rate": 7.486649748830654e-07, + "loss": 0.8289, + "step": 6215 + }, + { + "epoch": 2.64, + "learning_rate": 7.482201428880449e-07, + "loss": 0.9044, + "step": 6216 + }, + { + "epoch": 2.64, + "learning_rate": 7.477753991687344e-07, + "loss": 1.0027, + "step": 6217 + }, + { + "epoch": 2.64, + "learning_rate": 7.473307437773559e-07, + "loss": 0.9, + "step": 6218 + }, + { + "epoch": 2.64, + "learning_rate": 7.468861767661226e-07, + "loss": 1.1856, + "step": 6219 + }, + { + "epoch": 2.64, + "learning_rate": 7.464416981872357e-07, + "loss": 0.8357, + "step": 6220 + }, + { + "epoch": 2.64, + "learning_rate": 7.459973080928874e-07, + "loss": 0.9464, + "step": 6221 + }, + { + "epoch": 2.64, + "learning_rate": 7.455530065352591e-07, + "loss": 0.7796, + "step": 6222 + }, + { + "epoch": 2.65, + "learning_rate": 7.451087935665222e-07, + "loss": 0.8165, + "step": 6223 + }, + { + "epoch": 2.65, + "learning_rate": 7.446646692388359e-07, + "loss": 0.9623, + "step": 6224 + }, + { + "epoch": 2.65, + "learning_rate": 7.442206336043517e-07, + "loss": 0.9702, + "step": 6225 + }, + { + "epoch": 2.65, + "learning_rate": 7.437766867152078e-07, + "loss": 0.7365, + "step": 6226 + }, + { + "epoch": 2.65, + "learning_rate": 7.433328286235351e-07, + "loss": 0.9386, + "step": 6227 + }, + { + "epoch": 2.65, + "learning_rate": 7.428890593814507e-07, + "loss": 0.7303, + "step": 6228 + }, + { + "epoch": 2.65, + "learning_rate": 7.42445379041064e-07, + "loss": 1.393, + "step": 6229 + }, + { + "epoch": 2.65, + "learning_rate": 7.42001787654473e-07, + "loss": 1.371, + "step": 6230 + }, + { + "epoch": 2.65, + "learning_rate": 7.415582852737655e-07, + "loss": 0.7301, + "step": 6231 + }, + { + "epoch": 2.65, + "learning_rate": 7.411148719510175e-07, + "loss": 0.8459, + "step": 6232 + }, + { + "epoch": 2.65, + "learning_rate": 7.406715477382969e-07, + "loss": 1.2881, + "step": 6233 + }, + { + "epoch": 2.65, + "learning_rate": 7.402283126876584e-07, + "loss": 1.5249, + "step": 6234 + }, + { + "epoch": 2.65, + "learning_rate": 7.397851668511491e-07, + "loss": 0.8254, + "step": 6235 + }, + { + "epoch": 2.65, + "learning_rate": 7.393421102808024e-07, + "loss": 1.2661, + "step": 6236 + }, + { + "epoch": 2.65, + "learning_rate": 7.388991430286454e-07, + "loss": 1.0469, + "step": 6237 + }, + { + "epoch": 2.65, + "learning_rate": 7.384562651466904e-07, + "loss": 0.9926, + "step": 6238 + }, + { + "epoch": 2.65, + "learning_rate": 7.380134766869423e-07, + "loss": 0.7632, + "step": 6239 + }, + { + "epoch": 2.65, + "learning_rate": 7.375707777013933e-07, + "loss": 1.2331, + "step": 6240 + }, + { + "epoch": 2.65, + "learning_rate": 7.371281682420273e-07, + "loss": 0.816, + "step": 6241 + }, + { + "epoch": 2.65, + "learning_rate": 7.366856483608154e-07, + "loss": 0.6584, + "step": 6242 + }, + { + "epoch": 2.65, + "learning_rate": 7.362432181097202e-07, + "loss": 0.8715, + "step": 6243 + }, + { + "epoch": 2.65, + "learning_rate": 7.358008775406921e-07, + "loss": 0.5685, + "step": 6244 + }, + { + "epoch": 2.65, + "learning_rate": 7.353586267056718e-07, + "loss": 1.0399, + "step": 6245 + }, + { + "epoch": 2.66, + "learning_rate": 7.349164656565904e-07, + "loss": 0.9429, + "step": 6246 + }, + { + "epoch": 2.66, + "learning_rate": 7.344743944453661e-07, + "loss": 1.0142, + "step": 6247 + }, + { + "epoch": 2.66, + "learning_rate": 7.340324131239092e-07, + "loss": 0.8532, + "step": 6248 + }, + { + "epoch": 2.66, + "learning_rate": 7.33590521744117e-07, + "loss": 0.7979, + "step": 6249 + }, + { + "epoch": 2.66, + "learning_rate": 7.331487203578784e-07, + "loss": 0.9061, + "step": 6250 + }, + { + "epoch": 2.66, + "learning_rate": 7.327070090170693e-07, + "loss": 1.0588, + "step": 6251 + }, + { + "epoch": 2.66, + "learning_rate": 7.322653877735583e-07, + "loss": 1.1098, + "step": 6252 + }, + { + "epoch": 2.66, + "learning_rate": 7.318238566792003e-07, + "loss": 0.8845, + "step": 6253 + }, + { + "epoch": 2.66, + "learning_rate": 7.313824157858419e-07, + "loss": 0.9511, + "step": 6254 + }, + { + "epoch": 2.66, + "learning_rate": 7.309410651453167e-07, + "loss": 0.9199, + "step": 6255 + }, + { + "epoch": 2.66, + "learning_rate": 7.304998048094505e-07, + "loss": 1.1229, + "step": 6256 + }, + { + "epoch": 2.66, + "learning_rate": 7.300586348300558e-07, + "loss": 0.9342, + "step": 6257 + }, + { + "epoch": 2.66, + "learning_rate": 7.296175552589366e-07, + "loss": 1.2469, + "step": 6258 + }, + { + "epoch": 2.66, + "learning_rate": 7.291765661478853e-07, + "loss": 1.0232, + "step": 6259 + }, + { + "epoch": 2.66, + "learning_rate": 7.287356675486845e-07, + "loss": 1.1008, + "step": 6260 + }, + { + "epoch": 2.66, + "learning_rate": 7.282948595131045e-07, + "loss": 0.7105, + "step": 6261 + }, + { + "epoch": 2.66, + "learning_rate": 7.278541420929066e-07, + "loss": 1.0498, + "step": 6262 + }, + { + "epoch": 2.66, + "learning_rate": 7.274135153398403e-07, + "loss": 1.075, + "step": 6263 + }, + { + "epoch": 2.66, + "learning_rate": 7.269729793056459e-07, + "loss": 0.9454, + "step": 6264 + }, + { + "epoch": 2.66, + "learning_rate": 7.265325340420509e-07, + "loss": 0.9821, + "step": 6265 + }, + { + "epoch": 2.66, + "learning_rate": 7.260921796007741e-07, + "loss": 0.9944, + "step": 6266 + }, + { + "epoch": 2.66, + "learning_rate": 7.256519160335229e-07, + "loss": 0.886, + "step": 6267 + }, + { + "epoch": 2.66, + "learning_rate": 7.252117433919946e-07, + "loss": 0.8485, + "step": 6268 + }, + { + "epoch": 2.67, + "learning_rate": 7.247716617278742e-07, + "loss": 1.2469, + "step": 6269 + }, + { + "epoch": 2.67, + "learning_rate": 7.243316710928383e-07, + "loss": 0.6865, + "step": 6270 + }, + { + "epoch": 2.67, + "learning_rate": 7.238917715385502e-07, + "loss": 0.7222, + "step": 6271 + }, + { + "epoch": 2.67, + "learning_rate": 7.234519631166653e-07, + "loss": 1.0945, + "step": 6272 + }, + { + "epoch": 2.67, + "learning_rate": 7.230122458788256e-07, + "loss": 1.0019, + "step": 6273 + }, + { + "epoch": 2.67, + "learning_rate": 7.225726198766645e-07, + "loss": 1.0759, + "step": 6274 + }, + { + "epoch": 2.67, + "learning_rate": 7.221330851618041e-07, + "loss": 0.9878, + "step": 6275 + }, + { + "epoch": 2.67, + "learning_rate": 7.21693641785855e-07, + "loss": 0.8061, + "step": 6276 + }, + { + "epoch": 2.67, + "learning_rate": 7.21254289800418e-07, + "loss": 1.2012, + "step": 6277 + }, + { + "epoch": 2.67, + "learning_rate": 7.208150292570824e-07, + "loss": 1.019, + "step": 6278 + }, + { + "epoch": 2.67, + "learning_rate": 7.203758602074276e-07, + "loss": 0.9902, + "step": 6279 + }, + { + "epoch": 2.67, + "learning_rate": 7.199367827030219e-07, + "loss": 1.0335, + "step": 6280 + }, + { + "epoch": 2.67, + "learning_rate": 7.194977967954223e-07, + "loss": 0.7133, + "step": 6281 + }, + { + "epoch": 2.67, + "learning_rate": 7.190589025361757e-07, + "loss": 0.7815, + "step": 6282 + }, + { + "epoch": 2.67, + "learning_rate": 7.186200999768186e-07, + "loss": 0.278, + "step": 6283 + }, + { + "epoch": 2.67, + "learning_rate": 7.181813891688753e-07, + "loss": 0.8153, + "step": 6284 + }, + { + "epoch": 2.67, + "learning_rate": 7.177427701638613e-07, + "loss": 1.1031, + "step": 6285 + }, + { + "epoch": 2.67, + "learning_rate": 7.173042430132792e-07, + "loss": 1.1351, + "step": 6286 + }, + { + "epoch": 2.67, + "learning_rate": 7.168658077686226e-07, + "loss": 0.8849, + "step": 6287 + }, + { + "epoch": 2.67, + "learning_rate": 7.164274644813723e-07, + "loss": 0.6345, + "step": 6288 + }, + { + "epoch": 2.67, + "learning_rate": 7.159892132030017e-07, + "loss": 0.925, + "step": 6289 + }, + { + "epoch": 2.67, + "learning_rate": 7.155510539849695e-07, + "loss": 0.8765, + "step": 6290 + }, + { + "epoch": 2.67, + "learning_rate": 7.151129868787264e-07, + "loss": 0.9662, + "step": 6291 + }, + { + "epoch": 2.68, + "learning_rate": 7.146750119357105e-07, + "loss": 0.8229, + "step": 6292 + }, + { + "epoch": 2.68, + "learning_rate": 7.142371292073506e-07, + "loss": 0.9559, + "step": 6293 + }, + { + "epoch": 2.68, + "learning_rate": 7.137993387450629e-07, + "loss": 0.8378, + "step": 6294 + }, + { + "epoch": 2.68, + "learning_rate": 7.133616406002546e-07, + "loss": 1.0055, + "step": 6295 + }, + { + "epoch": 2.68, + "learning_rate": 7.129240348243201e-07, + "loss": 1.1665, + "step": 6296 + }, + { + "epoch": 2.68, + "learning_rate": 7.124865214686458e-07, + "loss": 0.805, + "step": 6297 + }, + { + "epoch": 2.68, + "learning_rate": 7.120491005846041e-07, + "loss": 0.8181, + "step": 6298 + }, + { + "epoch": 2.68, + "learning_rate": 7.116117722235589e-07, + "loss": 1.0035, + "step": 6299 + }, + { + "epoch": 2.68, + "learning_rate": 7.111745364368613e-07, + "loss": 1.31, + "step": 6300 + }, + { + "epoch": 2.68, + "learning_rate": 7.107373932758536e-07, + "loss": 0.9718, + "step": 6301 + }, + { + "epoch": 2.68, + "learning_rate": 7.103003427918651e-07, + "loss": 0.8709, + "step": 6302 + }, + { + "epoch": 2.68, + "learning_rate": 7.098633850362159e-07, + "loss": 1.2467, + "step": 6303 + }, + { + "epoch": 2.68, + "learning_rate": 7.094265200602148e-07, + "loss": 1.082, + "step": 6304 + }, + { + "epoch": 2.68, + "learning_rate": 7.089897479151588e-07, + "loss": 0.8854, + "step": 6305 + }, + { + "epoch": 2.68, + "learning_rate": 7.085530686523348e-07, + "loss": 0.8965, + "step": 6306 + }, + { + "epoch": 2.68, + "learning_rate": 7.081164823230197e-07, + "loss": 0.8558, + "step": 6307 + }, + { + "epoch": 2.68, + "learning_rate": 7.076799889784771e-07, + "loss": 0.9265, + "step": 6308 + }, + { + "epoch": 2.68, + "learning_rate": 7.07243588669962e-07, + "loss": 0.9562, + "step": 6309 + }, + { + "epoch": 2.68, + "learning_rate": 7.068072814487165e-07, + "loss": 0.9635, + "step": 6310 + }, + { + "epoch": 2.68, + "learning_rate": 7.063710673659737e-07, + "loss": 1.1731, + "step": 6311 + }, + { + "epoch": 2.68, + "learning_rate": 7.059349464729552e-07, + "loss": 0.8695, + "step": 6312 + }, + { + "epoch": 2.68, + "learning_rate": 7.054989188208699e-07, + "loss": 0.9094, + "step": 6313 + }, + { + "epoch": 2.68, + "learning_rate": 7.050629844609186e-07, + "loss": 0.8719, + "step": 6314 + }, + { + "epoch": 2.68, + "learning_rate": 7.046271434442885e-07, + "loss": 0.8028, + "step": 6315 + }, + { + "epoch": 2.69, + "learning_rate": 7.041913958221582e-07, + "loss": 0.7525, + "step": 6316 + }, + { + "epoch": 2.69, + "learning_rate": 7.03755741645693e-07, + "loss": 1.458, + "step": 6317 + }, + { + "epoch": 2.69, + "learning_rate": 7.033201809660491e-07, + "loss": 0.9369, + "step": 6318 + }, + { + "epoch": 2.69, + "learning_rate": 7.028847138343708e-07, + "loss": 0.7432, + "step": 6319 + }, + { + "epoch": 2.69, + "learning_rate": 7.024493403017925e-07, + "loss": 0.9115, + "step": 6320 + }, + { + "epoch": 2.69, + "learning_rate": 7.020140604194353e-07, + "loss": 1.2846, + "step": 6321 + }, + { + "epoch": 2.69, + "learning_rate": 7.015788742384123e-07, + "loss": 0.8192, + "step": 6322 + }, + { + "epoch": 2.69, + "learning_rate": 7.011437818098225e-07, + "loss": 0.9919, + "step": 6323 + }, + { + "epoch": 2.69, + "learning_rate": 7.00708783184757e-07, + "loss": 0.7151, + "step": 6324 + }, + { + "epoch": 2.69, + "learning_rate": 7.002738784142922e-07, + "loss": 0.7183, + "step": 6325 + }, + { + "epoch": 2.69, + "learning_rate": 6.99839067549498e-07, + "loss": 1.0283, + "step": 6326 + }, + { + "epoch": 2.69, + "learning_rate": 6.994043506414295e-07, + "loss": 1.0461, + "step": 6327 + }, + { + "epoch": 2.69, + "learning_rate": 6.98969727741133e-07, + "loss": 0.9935, + "step": 6328 + }, + { + "epoch": 2.69, + "learning_rate": 6.985351988996417e-07, + "loss": 1.043, + "step": 6329 + }, + { + "epoch": 2.69, + "learning_rate": 6.981007641679805e-07, + "loss": 1.0554, + "step": 6330 + }, + { + "epoch": 2.69, + "learning_rate": 6.9766642359716e-07, + "loss": 0.7318, + "step": 6331 + }, + { + "epoch": 2.69, + "learning_rate": 6.972321772381831e-07, + "loss": 0.9566, + "step": 6332 + }, + { + "epoch": 2.69, + "learning_rate": 6.967980251420382e-07, + "loss": 0.753, + "step": 6333 + }, + { + "epoch": 2.69, + "learning_rate": 6.963639673597066e-07, + "loss": 1.0421, + "step": 6334 + }, + { + "epoch": 2.69, + "learning_rate": 6.959300039421546e-07, + "loss": 0.9042, + "step": 6335 + }, + { + "epoch": 2.69, + "learning_rate": 6.954961349403404e-07, + "loss": 0.8732, + "step": 6336 + }, + { + "epoch": 2.69, + "learning_rate": 6.950623604052088e-07, + "loss": 0.6844, + "step": 6337 + }, + { + "epoch": 2.69, + "learning_rate": 6.946286803876956e-07, + "loss": 0.7425, + "step": 6338 + }, + { + "epoch": 2.7, + "learning_rate": 6.941950949387235e-07, + "loss": 0.9137, + "step": 6339 + }, + { + "epoch": 2.7, + "learning_rate": 6.937616041092056e-07, + "loss": 0.7861, + "step": 6340 + }, + { + "epoch": 2.7, + "learning_rate": 6.933282079500438e-07, + "loss": 0.8105, + "step": 6341 + }, + { + "epoch": 2.7, + "learning_rate": 6.928949065121277e-07, + "loss": 0.7902, + "step": 6342 + }, + { + "epoch": 2.7, + "learning_rate": 6.924616998463374e-07, + "loss": 0.9513, + "step": 6343 + }, + { + "epoch": 2.7, + "learning_rate": 6.9202858800354e-07, + "loss": 0.9858, + "step": 6344 + }, + { + "epoch": 2.7, + "learning_rate": 6.915955710345936e-07, + "loss": 1.1503, + "step": 6345 + }, + { + "epoch": 2.7, + "learning_rate": 6.911626489903426e-07, + "loss": 0.8411, + "step": 6346 + }, + { + "epoch": 2.7, + "learning_rate": 6.907298219216234e-07, + "loss": 1.2601, + "step": 6347 + }, + { + "epoch": 2.7, + "learning_rate": 6.902970898792576e-07, + "loss": 1.0104, + "step": 6348 + }, + { + "epoch": 2.7, + "learning_rate": 6.898644529140596e-07, + "loss": 1.3447, + "step": 6349 + }, + { + "epoch": 2.7, + "learning_rate": 6.894319110768292e-07, + "loss": 1.0452, + "step": 6350 + }, + { + "epoch": 2.7, + "learning_rate": 6.889994644183576e-07, + "loss": 1.3411, + "step": 6351 + }, + { + "epoch": 2.7, + "learning_rate": 6.885671129894221e-07, + "loss": 0.9543, + "step": 6352 + }, + { + "epoch": 2.7, + "learning_rate": 6.881348568407923e-07, + "loss": 0.9213, + "step": 6353 + }, + { + "epoch": 2.7, + "learning_rate": 6.877026960232229e-07, + "loss": 1.2606, + "step": 6354 + }, + { + "epoch": 2.7, + "learning_rate": 6.872706305874602e-07, + "loss": 0.8842, + "step": 6355 + }, + { + "epoch": 2.7, + "learning_rate": 6.86838660584238e-07, + "loss": 1.0826, + "step": 6356 + }, + { + "epoch": 2.7, + "learning_rate": 6.8640678606428e-07, + "loss": 0.6663, + "step": 6357 + }, + { + "epoch": 2.7, + "learning_rate": 6.859750070782967e-07, + "loss": 0.8421, + "step": 6358 + }, + { + "epoch": 2.7, + "learning_rate": 6.855433236769896e-07, + "loss": 0.9363, + "step": 6359 + }, + { + "epoch": 2.7, + "learning_rate": 6.851117359110468e-07, + "loss": 0.8642, + "step": 6360 + }, + { + "epoch": 2.7, + "learning_rate": 6.846802438311477e-07, + "loss": 0.7521, + "step": 6361 + }, + { + "epoch": 2.71, + "learning_rate": 6.842488474879578e-07, + "loss": 1.0911, + "step": 6362 + }, + { + "epoch": 2.71, + "learning_rate": 6.838175469321333e-07, + "loss": 0.663, + "step": 6363 + }, + { + "epoch": 2.71, + "learning_rate": 6.833863422143183e-07, + "loss": 1.1939, + "step": 6364 + }, + { + "epoch": 2.71, + "learning_rate": 6.829552333851465e-07, + "loss": 0.9875, + "step": 6365 + }, + { + "epoch": 2.71, + "learning_rate": 6.825242204952386e-07, + "loss": 0.5274, + "step": 6366 + }, + { + "epoch": 2.71, + "learning_rate": 6.820933035952063e-07, + "loss": 0.9224, + "step": 6367 + }, + { + "epoch": 2.71, + "learning_rate": 6.816624827356475e-07, + "loss": 1.15, + "step": 6368 + }, + { + "epoch": 2.71, + "learning_rate": 6.812317579671517e-07, + "loss": 1.0046, + "step": 6369 + }, + { + "epoch": 2.71, + "learning_rate": 6.80801129340294e-07, + "loss": 0.6001, + "step": 6370 + }, + { + "epoch": 2.71, + "learning_rate": 6.803705969056406e-07, + "loss": 0.9741, + "step": 6371 + }, + { + "epoch": 2.71, + "learning_rate": 6.799401607137461e-07, + "loss": 0.9183, + "step": 6372 + }, + { + "epoch": 2.71, + "learning_rate": 6.795098208151524e-07, + "loss": 0.8398, + "step": 6373 + }, + { + "epoch": 2.71, + "learning_rate": 6.790795772603917e-07, + "loss": 0.9724, + "step": 6374 + }, + { + "epoch": 2.71, + "learning_rate": 6.786494300999833e-07, + "loss": 0.6914, + "step": 6375 + }, + { + "epoch": 2.71, + "learning_rate": 6.782193793844368e-07, + "loss": 0.7964, + "step": 6376 + }, + { + "epoch": 2.71, + "learning_rate": 6.777894251642494e-07, + "loss": 1.3138, + "step": 6377 + }, + { + "epoch": 2.71, + "learning_rate": 6.773595674899082e-07, + "loss": 0.8003, + "step": 6378 + }, + { + "epoch": 2.71, + "learning_rate": 6.769298064118866e-07, + "loss": 0.8619, + "step": 6379 + }, + { + "epoch": 2.71, + "learning_rate": 6.765001419806493e-07, + "loss": 1.0539, + "step": 6380 + }, + { + "epoch": 2.71, + "eval_loss": 1.2545257806777954, + "eval_runtime": 32.1284, + "eval_samples_per_second": 38.751, + "eval_steps_per_second": 19.391, + "step": 6380 + }, + { + "epoch": 2.71, + "learning_rate": 6.760705742466477e-07, + "loss": 0.6857, + "step": 6381 + }, + { + "epoch": 2.71, + "learning_rate": 6.756411032603235e-07, + "loss": 0.7803, + "step": 6382 + }, + { + "epoch": 2.71, + "learning_rate": 6.752117290721049e-07, + "loss": 0.982, + "step": 6383 + }, + { + "epoch": 2.71, + "learning_rate": 6.747824517324115e-07, + "loss": 0.9549, + "step": 6384 + }, + { + "epoch": 2.72, + "learning_rate": 6.743532712916479e-07, + "loss": 1.0251, + "step": 6385 + }, + { + "epoch": 2.72, + "learning_rate": 6.739241878002121e-07, + "loss": 1.1536, + "step": 6386 + }, + { + "epoch": 2.72, + "learning_rate": 6.734952013084862e-07, + "loss": 0.8734, + "step": 6387 + }, + { + "epoch": 2.72, + "learning_rate": 6.730663118668437e-07, + "loss": 0.9066, + "step": 6388 + }, + { + "epoch": 2.72, + "learning_rate": 6.726375195256451e-07, + "loss": 0.9321, + "step": 6389 + }, + { + "epoch": 2.72, + "learning_rate": 6.72208824335241e-07, + "loss": 1.0934, + "step": 6390 + }, + { + "epoch": 2.72, + "learning_rate": 6.717802263459686e-07, + "loss": 0.9762, + "step": 6391 + }, + { + "epoch": 2.72, + "learning_rate": 6.713517256081555e-07, + "loss": 1.0507, + "step": 6392 + }, + { + "epoch": 2.72, + "learning_rate": 6.709233221721174e-07, + "loss": 0.798, + "step": 6393 + }, + { + "epoch": 2.72, + "learning_rate": 6.704950160881589e-07, + "loss": 0.8571, + "step": 6394 + }, + { + "epoch": 2.72, + "learning_rate": 6.700668074065713e-07, + "loss": 1.1381, + "step": 6395 + }, + { + "epoch": 2.72, + "learning_rate": 6.696386961776372e-07, + "loss": 0.3895, + "step": 6396 + }, + { + "epoch": 2.72, + "learning_rate": 6.692106824516252e-07, + "loss": 0.8106, + "step": 6397 + }, + { + "epoch": 2.72, + "learning_rate": 6.687827662787949e-07, + "loss": 0.722, + "step": 6398 + }, + { + "epoch": 2.72, + "learning_rate": 6.683549477093919e-07, + "loss": 0.8787, + "step": 6399 + }, + { + "epoch": 2.72, + "learning_rate": 6.679272267936522e-07, + "loss": 0.718, + "step": 6400 + }, + { + "epoch": 2.72, + "learning_rate": 6.674996035818005e-07, + "loss": 0.9281, + "step": 6401 + }, + { + "epoch": 2.72, + "learning_rate": 6.670720781240482e-07, + "loss": 1.2608, + "step": 6402 + }, + { + "epoch": 2.72, + "learning_rate": 6.666446504705971e-07, + "loss": 0.8764, + "step": 6403 + }, + { + "epoch": 2.72, + "learning_rate": 6.662173206716358e-07, + "loss": 0.9546, + "step": 6404 + }, + { + "epoch": 2.72, + "learning_rate": 6.657900887773431e-07, + "loss": 1.2821, + "step": 6405 + }, + { + "epoch": 2.72, + "learning_rate": 6.653629548378858e-07, + "loss": 1.0745, + "step": 6406 + }, + { + "epoch": 2.72, + "learning_rate": 6.64935918903418e-07, + "loss": 1.0235, + "step": 6407 + }, + { + "epoch": 2.73, + "learning_rate": 6.645089810240837e-07, + "loss": 0.8898, + "step": 6408 + }, + { + "epoch": 2.73, + "learning_rate": 6.640821412500155e-07, + "loss": 1.0019, + "step": 6409 + }, + { + "epoch": 2.73, + "learning_rate": 6.636553996313329e-07, + "loss": 0.9079, + "step": 6410 + }, + { + "epoch": 2.73, + "learning_rate": 6.632287562181459e-07, + "loss": 0.7231, + "step": 6411 + }, + { + "epoch": 2.73, + "learning_rate": 6.628022110605508e-07, + "loss": 1.2053, + "step": 6412 + }, + { + "epoch": 2.73, + "learning_rate": 6.623757642086347e-07, + "loss": 1.0692, + "step": 6413 + }, + { + "epoch": 2.73, + "learning_rate": 6.619494157124708e-07, + "loss": 0.9315, + "step": 6414 + }, + { + "epoch": 2.73, + "learning_rate": 6.615231656221225e-07, + "loss": 1.0016, + "step": 6415 + }, + { + "epoch": 2.73, + "learning_rate": 6.610970139876409e-07, + "loss": 1.09, + "step": 6416 + }, + { + "epoch": 2.73, + "learning_rate": 6.606709608590665e-07, + "loss": 1.0847, + "step": 6417 + }, + { + "epoch": 2.73, + "learning_rate": 6.602450062864262e-07, + "loss": 0.7461, + "step": 6418 + }, + { + "epoch": 2.73, + "learning_rate": 6.598191503197378e-07, + "loss": 0.8307, + "step": 6419 + }, + { + "epoch": 2.73, + "learning_rate": 6.593933930090049e-07, + "loss": 1.0188, + "step": 6420 + }, + { + "epoch": 2.73, + "learning_rate": 6.589677344042222e-07, + "loss": 0.922, + "step": 6421 + }, + { + "epoch": 2.73, + "learning_rate": 6.5854217455537e-07, + "loss": 1.0673, + "step": 6422 + }, + { + "epoch": 2.73, + "learning_rate": 6.581167135124202e-07, + "loss": 0.9063, + "step": 6423 + }, + { + "epoch": 2.73, + "learning_rate": 6.576913513253303e-07, + "loss": 0.8589, + "step": 6424 + }, + { + "epoch": 2.73, + "learning_rate": 6.572660880440482e-07, + "loss": 1.0638, + "step": 6425 + }, + { + "epoch": 2.73, + "learning_rate": 6.568409237185081e-07, + "loss": 0.7973, + "step": 6426 + }, + { + "epoch": 2.73, + "learning_rate": 6.564158583986349e-07, + "loss": 0.9945, + "step": 6427 + }, + { + "epoch": 2.73, + "learning_rate": 6.559908921343397e-07, + "loss": 0.8359, + "step": 6428 + }, + { + "epoch": 2.73, + "learning_rate": 6.555660249755242e-07, + "loss": 0.9653, + "step": 6429 + }, + { + "epoch": 2.73, + "learning_rate": 6.55141256972076e-07, + "loss": 0.8383, + "step": 6430 + }, + { + "epoch": 2.74, + "learning_rate": 6.547165881738729e-07, + "loss": 0.7916, + "step": 6431 + }, + { + "epoch": 2.74, + "learning_rate": 6.542920186307805e-07, + "loss": 0.9856, + "step": 6432 + }, + { + "epoch": 2.74, + "learning_rate": 6.538675483926535e-07, + "loss": 0.7592, + "step": 6433 + }, + { + "epoch": 2.74, + "learning_rate": 6.534431775093328e-07, + "loss": 0.7565, + "step": 6434 + }, + { + "epoch": 2.74, + "learning_rate": 6.530189060306501e-07, + "loss": 0.6916, + "step": 6435 + }, + { + "epoch": 2.74, + "learning_rate": 6.525947340064232e-07, + "loss": 1.329, + "step": 6436 + }, + { + "epoch": 2.74, + "learning_rate": 6.521706614864601e-07, + "loss": 0.9924, + "step": 6437 + }, + { + "epoch": 2.74, + "learning_rate": 6.517466885205567e-07, + "loss": 1.0379, + "step": 6438 + }, + { + "epoch": 2.74, + "learning_rate": 6.51322815158496e-07, + "loss": 0.7018, + "step": 6439 + }, + { + "epoch": 2.74, + "learning_rate": 6.508990414500512e-07, + "loss": 0.7214, + "step": 6440 + }, + { + "epoch": 2.74, + "learning_rate": 6.504753674449816e-07, + "loss": 1.0415, + "step": 6441 + }, + { + "epoch": 2.74, + "learning_rate": 6.500517931930371e-07, + "loss": 1.1664, + "step": 6442 + }, + { + "epoch": 2.74, + "learning_rate": 6.496283187439536e-07, + "loss": 1.0754, + "step": 6443 + }, + { + "epoch": 2.74, + "learning_rate": 6.492049441474571e-07, + "loss": 0.9501, + "step": 6444 + }, + { + "epoch": 2.74, + "learning_rate": 6.487816694532611e-07, + "loss": 0.7351, + "step": 6445 + }, + { + "epoch": 2.74, + "learning_rate": 6.483584947110683e-07, + "loss": 0.5986, + "step": 6446 + }, + { + "epoch": 2.74, + "learning_rate": 6.479354199705675e-07, + "loss": 0.9293, + "step": 6447 + }, + { + "epoch": 2.74, + "learning_rate": 6.47512445281438e-07, + "loss": 1.1046, + "step": 6448 + }, + { + "epoch": 2.74, + "learning_rate": 6.470895706933459e-07, + "loss": 0.8393, + "step": 6449 + }, + { + "epoch": 2.74, + "learning_rate": 6.466667962559468e-07, + "loss": 1.0501, + "step": 6450 + }, + { + "epoch": 2.74, + "learning_rate": 6.462441220188828e-07, + "loss": 0.8059, + "step": 6451 + }, + { + "epoch": 2.74, + "learning_rate": 6.458215480317859e-07, + "loss": 0.6951, + "step": 6452 + }, + { + "epoch": 2.74, + "learning_rate": 6.453990743442758e-07, + "loss": 0.6543, + "step": 6453 + }, + { + "epoch": 2.74, + "learning_rate": 6.449767010059605e-07, + "loss": 1.1133, + "step": 6454 + }, + { + "epoch": 2.75, + "learning_rate": 6.445544280664353e-07, + "loss": 1.0028, + "step": 6455 + }, + { + "epoch": 2.75, + "learning_rate": 6.441322555752856e-07, + "loss": 0.7046, + "step": 6456 + }, + { + "epoch": 2.75, + "learning_rate": 6.437101835820825e-07, + "loss": 1.0707, + "step": 6457 + }, + { + "epoch": 2.75, + "learning_rate": 6.432882121363879e-07, + "loss": 1.1937, + "step": 6458 + }, + { + "epoch": 2.75, + "learning_rate": 6.428663412877488e-07, + "loss": 0.7647, + "step": 6459 + }, + { + "epoch": 2.75, + "learning_rate": 6.424445710857048e-07, + "loss": 0.9687, + "step": 6460 + }, + { + "epoch": 2.75, + "learning_rate": 6.420229015797791e-07, + "loss": 0.8943, + "step": 6461 + }, + { + "epoch": 2.75, + "learning_rate": 6.416013328194866e-07, + "loss": 0.8763, + "step": 6462 + }, + { + "epoch": 2.75, + "learning_rate": 6.411798648543274e-07, + "loss": 1.1021, + "step": 6463 + }, + { + "epoch": 2.75, + "learning_rate": 6.407584977337926e-07, + "loss": 0.8248, + "step": 6464 + }, + { + "epoch": 2.75, + "learning_rate": 6.403372315073587e-07, + "loss": 0.6978, + "step": 6465 + }, + { + "epoch": 2.75, + "learning_rate": 6.399160662244931e-07, + "loss": 1.2437, + "step": 6466 + }, + { + "epoch": 2.75, + "learning_rate": 6.394950019346488e-07, + "loss": 0.9643, + "step": 6467 + }, + { + "epoch": 2.75, + "learning_rate": 6.390740386872687e-07, + "loss": 0.8533, + "step": 6468 + }, + { + "epoch": 2.75, + "learning_rate": 6.386531765317837e-07, + "loss": 0.9054, + "step": 6469 + }, + { + "epoch": 2.75, + "learning_rate": 6.382324155176115e-07, + "loss": 0.8742, + "step": 6470 + }, + { + "epoch": 2.75, + "learning_rate": 6.378117556941596e-07, + "loss": 1.055, + "step": 6471 + }, + { + "epoch": 2.75, + "learning_rate": 6.373911971108224e-07, + "loss": 0.9719, + "step": 6472 + }, + { + "epoch": 2.75, + "learning_rate": 6.369707398169831e-07, + "loss": 0.816, + "step": 6473 + }, + { + "epoch": 2.75, + "learning_rate": 6.365503838620116e-07, + "loss": 0.7475, + "step": 6474 + }, + { + "epoch": 2.75, + "learning_rate": 6.361301292952693e-07, + "loss": 1.1277, + "step": 6475 + }, + { + "epoch": 2.75, + "learning_rate": 6.357099761661017e-07, + "loss": 0.8285, + "step": 6476 + }, + { + "epoch": 2.75, + "learning_rate": 6.352899245238449e-07, + "loss": 0.8416, + "step": 6477 + }, + { + "epoch": 2.76, + "learning_rate": 6.348699744178218e-07, + "loss": 0.7066, + "step": 6478 + }, + { + "epoch": 2.76, + "learning_rate": 6.344501258973446e-07, + "loss": 0.6872, + "step": 6479 + }, + { + "epoch": 2.76, + "learning_rate": 6.34030379011712e-07, + "loss": 0.9709, + "step": 6480 + }, + { + "epoch": 2.76, + "learning_rate": 6.336107338102127e-07, + "loss": 0.9931, + "step": 6481 + }, + { + "epoch": 2.76, + "learning_rate": 6.331911903421207e-07, + "loss": 0.8026, + "step": 6482 + }, + { + "epoch": 2.76, + "learning_rate": 6.327717486567018e-07, + "loss": 1.116, + "step": 6483 + }, + { + "epoch": 2.76, + "learning_rate": 6.323524088032064e-07, + "loss": 0.919, + "step": 6484 + }, + { + "epoch": 2.76, + "learning_rate": 6.319331708308752e-07, + "loss": 1.0745, + "step": 6485 + }, + { + "epoch": 2.76, + "learning_rate": 6.315140347889355e-07, + "loss": 0.9946, + "step": 6486 + }, + { + "epoch": 2.76, + "learning_rate": 6.310950007266036e-07, + "loss": 0.8159, + "step": 6487 + }, + { + "epoch": 2.76, + "learning_rate": 6.306760686930827e-07, + "loss": 1.4081, + "step": 6488 + }, + { + "epoch": 2.76, + "learning_rate": 6.302572387375654e-07, + "loss": 0.8316, + "step": 6489 + }, + { + "epoch": 2.76, + "learning_rate": 6.298385109092315e-07, + "loss": 0.7992, + "step": 6490 + }, + { + "epoch": 2.76, + "learning_rate": 6.294198852572496e-07, + "loss": 0.643, + "step": 6491 + }, + { + "epoch": 2.76, + "learning_rate": 6.290013618307747e-07, + "loss": 0.6285, + "step": 6492 + }, + { + "epoch": 2.76, + "learning_rate": 6.285829406789516e-07, + "loss": 0.9211, + "step": 6493 + }, + { + "epoch": 2.76, + "learning_rate": 6.281646218509114e-07, + "loss": 0.9752, + "step": 6494 + }, + { + "epoch": 2.76, + "learning_rate": 6.277464053957749e-07, + "loss": 1.0382, + "step": 6495 + }, + { + "epoch": 2.76, + "learning_rate": 6.273282913626492e-07, + "loss": 0.7915, + "step": 6496 + }, + { + "epoch": 2.76, + "learning_rate": 6.269102798006307e-07, + "loss": 0.8505, + "step": 6497 + }, + { + "epoch": 2.76, + "learning_rate": 6.264923707588037e-07, + "loss": 0.9071, + "step": 6498 + }, + { + "epoch": 2.76, + "learning_rate": 6.26074564286239e-07, + "loss": 0.8172, + "step": 6499 + }, + { + "epoch": 2.76, + "learning_rate": 6.256568604319975e-07, + "loss": 0.7564, + "step": 6500 + }, + { + "epoch": 2.77, + "learning_rate": 6.252392592451259e-07, + "loss": 0.7912, + "step": 6501 + }, + { + "epoch": 2.77, + "learning_rate": 6.248217607746603e-07, + "loss": 0.8395, + "step": 6502 + }, + { + "epoch": 2.77, + "learning_rate": 6.244043650696251e-07, + "loss": 0.8115, + "step": 6503 + }, + { + "epoch": 2.77, + "learning_rate": 6.239870721790305e-07, + "loss": 0.8101, + "step": 6504 + }, + { + "epoch": 2.77, + "learning_rate": 6.235698821518767e-07, + "loss": 0.7965, + "step": 6505 + }, + { + "epoch": 2.77, + "learning_rate": 6.231527950371516e-07, + "loss": 0.7299, + "step": 6506 + }, + { + "epoch": 2.77, + "learning_rate": 6.227358108838294e-07, + "loss": 1.1986, + "step": 6507 + }, + { + "epoch": 2.77, + "learning_rate": 6.223189297408745e-07, + "loss": 1.2124, + "step": 6508 + }, + { + "epoch": 2.77, + "learning_rate": 6.219021516572369e-07, + "loss": 0.916, + "step": 6509 + }, + { + "epoch": 2.77, + "learning_rate": 6.214854766818567e-07, + "loss": 0.8837, + "step": 6510 + }, + { + "epoch": 2.77, + "learning_rate": 6.210689048636593e-07, + "loss": 0.9822, + "step": 6511 + }, + { + "epoch": 2.77, + "learning_rate": 6.206524362515615e-07, + "loss": 0.8818, + "step": 6512 + }, + { + "epoch": 2.77, + "learning_rate": 6.202360708944644e-07, + "loss": 0.9367, + "step": 6513 + }, + { + "epoch": 2.77, + "learning_rate": 6.1981980884126e-07, + "loss": 0.6733, + "step": 6514 + }, + { + "epoch": 2.77, + "learning_rate": 6.194036501408252e-07, + "loss": 1.046, + "step": 6515 + }, + { + "epoch": 2.77, + "learning_rate": 6.189875948420276e-07, + "loss": 0.8613, + "step": 6516 + }, + { + "epoch": 2.77, + "learning_rate": 6.185716429937204e-07, + "loss": 0.7764, + "step": 6517 + }, + { + "epoch": 2.77, + "learning_rate": 6.181557946447465e-07, + "loss": 0.7077, + "step": 6518 + }, + { + "epoch": 2.77, + "learning_rate": 6.17740049843934e-07, + "loss": 1.0088, + "step": 6519 + }, + { + "epoch": 2.77, + "learning_rate": 6.173244086401032e-07, + "loss": 0.8561, + "step": 6520 + }, + { + "epoch": 2.77, + "learning_rate": 6.169088710820578e-07, + "loss": 1.0805, + "step": 6521 + }, + { + "epoch": 2.77, + "learning_rate": 6.164934372185921e-07, + "loss": 0.9125, + "step": 6522 + }, + { + "epoch": 2.77, + "learning_rate": 6.160781070984864e-07, + "loss": 0.7905, + "step": 6523 + }, + { + "epoch": 2.78, + "learning_rate": 6.156628807705108e-07, + "loss": 1.135, + "step": 6524 + }, + { + "epoch": 2.78, + "learning_rate": 6.152477582834212e-07, + "loss": 1.4011, + "step": 6525 + }, + { + "epoch": 2.78, + "learning_rate": 6.148327396859622e-07, + "loss": 0.7254, + "step": 6526 + }, + { + "epoch": 2.78, + "learning_rate": 6.144178250268673e-07, + "loss": 0.744, + "step": 6527 + }, + { + "epoch": 2.78, + "learning_rate": 6.140030143548556e-07, + "loss": 1.0048, + "step": 6528 + }, + { + "epoch": 2.78, + "learning_rate": 6.135883077186354e-07, + "loss": 0.8705, + "step": 6529 + }, + { + "epoch": 2.78, + "learning_rate": 6.131737051669032e-07, + "loss": 1.0471, + "step": 6530 + }, + { + "epoch": 2.78, + "learning_rate": 6.127592067483416e-07, + "loss": 0.8154, + "step": 6531 + }, + { + "epoch": 2.78, + "learning_rate": 6.123448125116227e-07, + "loss": 1.3728, + "step": 6532 + }, + { + "epoch": 2.78, + "learning_rate": 6.119305225054049e-07, + "loss": 1.1007, + "step": 6533 + }, + { + "epoch": 2.78, + "learning_rate": 6.115163367783354e-07, + "loss": 0.885, + "step": 6534 + }, + { + "epoch": 2.78, + "learning_rate": 6.111022553790496e-07, + "loss": 0.9406, + "step": 6535 + }, + { + "epoch": 2.78, + "learning_rate": 6.106882783561684e-07, + "loss": 1.0341, + "step": 6536 + }, + { + "epoch": 2.78, + "learning_rate": 6.102744057583036e-07, + "loss": 1.439, + "step": 6537 + }, + { + "epoch": 2.78, + "learning_rate": 6.098606376340514e-07, + "loss": 0.6819, + "step": 6538 + }, + { + "epoch": 2.78, + "learning_rate": 6.094469740319989e-07, + "loss": 1.0155, + "step": 6539 + }, + { + "epoch": 2.78, + "learning_rate": 6.09033415000718e-07, + "loss": 0.8907, + "step": 6540 + }, + { + "epoch": 2.78, + "learning_rate": 6.086199605887705e-07, + "loss": 0.8208, + "step": 6541 + }, + { + "epoch": 2.78, + "learning_rate": 6.082066108447051e-07, + "loss": 0.8655, + "step": 6542 + }, + { + "epoch": 2.78, + "learning_rate": 6.07793365817059e-07, + "loss": 1.2304, + "step": 6543 + }, + { + "epoch": 2.78, + "learning_rate": 6.07380225554355e-07, + "loss": 0.7905, + "step": 6544 + }, + { + "epoch": 2.78, + "learning_rate": 6.069671901051062e-07, + "loss": 0.7548, + "step": 6545 + }, + { + "epoch": 2.78, + "learning_rate": 6.065542595178112e-07, + "loss": 0.8964, + "step": 6546 + }, + { + "epoch": 2.79, + "learning_rate": 6.06141433840958e-07, + "loss": 0.7382, + "step": 6547 + }, + { + "epoch": 2.79, + "learning_rate": 6.057287131230208e-07, + "loss": 1.0803, + "step": 6548 + }, + { + "epoch": 2.79, + "learning_rate": 6.053160974124625e-07, + "loss": 0.9824, + "step": 6549 + }, + { + "epoch": 2.79, + "learning_rate": 6.049035867577337e-07, + "loss": 1.1075, + "step": 6550 + }, + { + "epoch": 2.79, + "learning_rate": 6.044911812072724e-07, + "loss": 0.9736, + "step": 6551 + }, + { + "epoch": 2.79, + "learning_rate": 6.040788808095036e-07, + "loss": 1.0735, + "step": 6552 + }, + { + "epoch": 2.79, + "learning_rate": 6.036666856128414e-07, + "loss": 1.0127, + "step": 6553 + }, + { + "epoch": 2.79, + "learning_rate": 6.032545956656856e-07, + "loss": 0.7356, + "step": 6554 + }, + { + "epoch": 2.79, + "learning_rate": 6.028426110164259e-07, + "loss": 1.0483, + "step": 6555 + }, + { + "epoch": 2.79, + "learning_rate": 6.024307317134368e-07, + "loss": 0.8807, + "step": 6556 + }, + { + "epoch": 2.79, + "learning_rate": 6.020189578050844e-07, + "loss": 1.1198, + "step": 6557 + }, + { + "epoch": 2.79, + "learning_rate": 6.016072893397184e-07, + "loss": 1.0672, + "step": 6558 + }, + { + "epoch": 2.79, + "learning_rate": 6.011957263656789e-07, + "loss": 0.7609, + "step": 6559 + }, + { + "epoch": 2.79, + "learning_rate": 6.007842689312916e-07, + "loss": 1.0014, + "step": 6560 + }, + { + "epoch": 2.79, + "learning_rate": 6.003729170848718e-07, + "loss": 1.1831, + "step": 6561 + }, + { + "epoch": 2.79, + "learning_rate": 5.999616708747202e-07, + "loss": 0.827, + "step": 6562 + }, + { + "epoch": 2.79, + "learning_rate": 5.995505303491269e-07, + "loss": 1.1052, + "step": 6563 + }, + { + "epoch": 2.79, + "learning_rate": 5.991394955563696e-07, + "loss": 0.9942, + "step": 6564 + }, + { + "epoch": 2.79, + "learning_rate": 5.987285665447118e-07, + "loss": 0.9956, + "step": 6565 + }, + { + "epoch": 2.79, + "learning_rate": 5.983177433624066e-07, + "loss": 1.0859, + "step": 6566 + }, + { + "epoch": 2.79, + "learning_rate": 5.979070260576929e-07, + "loss": 0.7246, + "step": 6567 + }, + { + "epoch": 2.79, + "learning_rate": 5.974964146787992e-07, + "loss": 0.8389, + "step": 6568 + }, + { + "epoch": 2.79, + "learning_rate": 5.970859092739392e-07, + "loss": 0.7411, + "step": 6569 + }, + { + "epoch": 2.79, + "learning_rate": 5.966755098913167e-07, + "loss": 1.3455, + "step": 6570 + }, + { + "epoch": 2.8, + "learning_rate": 5.962652165791199e-07, + "loss": 1.3862, + "step": 6571 + }, + { + "epoch": 2.8, + "learning_rate": 5.958550293855285e-07, + "loss": 0.5103, + "step": 6572 + }, + { + "epoch": 2.8, + "learning_rate": 5.954449483587061e-07, + "loss": 0.8344, + "step": 6573 + }, + { + "epoch": 2.8, + "learning_rate": 5.950349735468065e-07, + "loss": 1.1233, + "step": 6574 + }, + { + "epoch": 2.8, + "learning_rate": 5.946251049979688e-07, + "loss": 0.8389, + "step": 6575 + }, + { + "epoch": 2.8, + "learning_rate": 5.942153427603216e-07, + "loss": 0.9522, + "step": 6576 + }, + { + "epoch": 2.8, + "learning_rate": 5.938056868819791e-07, + "loss": 1.2423, + "step": 6577 + }, + { + "epoch": 2.8, + "learning_rate": 5.933961374110446e-07, + "loss": 0.9128, + "step": 6578 + }, + { + "epoch": 2.8, + "learning_rate": 5.929866943956084e-07, + "loss": 1.1827, + "step": 6579 + }, + { + "epoch": 2.8, + "learning_rate": 5.925773578837486e-07, + "loss": 0.8981, + "step": 6580 + }, + { + "epoch": 2.8, + "learning_rate": 5.921681279235297e-07, + "loss": 1.5603, + "step": 6581 + }, + { + "epoch": 2.8, + "learning_rate": 5.917590045630052e-07, + "loss": 1.1346, + "step": 6582 + }, + { + "epoch": 2.8, + "learning_rate": 5.913499878502142e-07, + "loss": 0.672, + "step": 6583 + }, + { + "epoch": 2.8, + "learning_rate": 5.909410778331855e-07, + "loss": 0.8192, + "step": 6584 + }, + { + "epoch": 2.8, + "learning_rate": 5.905322745599333e-07, + "loss": 0.77, + "step": 6585 + }, + { + "epoch": 2.8, + "learning_rate": 5.901235780784608e-07, + "loss": 0.8515, + "step": 6586 + }, + { + "epoch": 2.8, + "learning_rate": 5.897149884367577e-07, + "loss": 0.8705, + "step": 6587 + }, + { + "epoch": 2.8, + "learning_rate": 5.893065056828026e-07, + "loss": 0.8793, + "step": 6588 + }, + { + "epoch": 2.8, + "learning_rate": 5.888981298645589e-07, + "loss": 1.022, + "step": 6589 + }, + { + "epoch": 2.8, + "learning_rate": 5.884898610299802e-07, + "loss": 0.7797, + "step": 6590 + }, + { + "epoch": 2.8, + "learning_rate": 5.880816992270057e-07, + "loss": 1.1072, + "step": 6591 + }, + { + "epoch": 2.8, + "learning_rate": 5.876736445035633e-07, + "loss": 0.7996, + "step": 6592 + }, + { + "epoch": 2.8, + "learning_rate": 5.872656969075668e-07, + "loss": 1.046, + "step": 6593 + }, + { + "epoch": 2.81, + "learning_rate": 5.868578564869191e-07, + "loss": 1.0244, + "step": 6594 + }, + { + "epoch": 2.81, + "learning_rate": 5.864501232895099e-07, + "loss": 0.9981, + "step": 6595 + }, + { + "epoch": 2.81, + "learning_rate": 5.860424973632151e-07, + "loss": 0.9411, + "step": 6596 + }, + { + "epoch": 2.81, + "learning_rate": 5.856349787559006e-07, + "loss": 1.7989, + "step": 6597 + }, + { + "epoch": 2.81, + "learning_rate": 5.852275675154167e-07, + "loss": 0.781, + "step": 6598 + }, + { + "epoch": 2.81, + "learning_rate": 5.848202636896036e-07, + "loss": 1.1002, + "step": 6599 + }, + { + "epoch": 2.81, + "learning_rate": 5.844130673262871e-07, + "loss": 0.8278, + "step": 6600 + }, + { + "epoch": 2.81, + "learning_rate": 5.840059784732814e-07, + "loss": 1.1788, + "step": 6601 + }, + { + "epoch": 2.81, + "learning_rate": 5.83598997178388e-07, + "loss": 0.7295, + "step": 6602 + }, + { + "epoch": 2.81, + "learning_rate": 5.831921234893958e-07, + "loss": 0.9226, + "step": 6603 + }, + { + "epoch": 2.81, + "learning_rate": 5.827853574540801e-07, + "loss": 1.086, + "step": 6604 + }, + { + "epoch": 2.81, + "learning_rate": 5.823786991202049e-07, + "loss": 1.2158, + "step": 6605 + }, + { + "epoch": 2.81, + "learning_rate": 5.819721485355207e-07, + "loss": 0.874, + "step": 6606 + }, + { + "epoch": 2.81, + "learning_rate": 5.815657057477657e-07, + "loss": 0.9021, + "step": 6607 + }, + { + "epoch": 2.81, + "learning_rate": 5.811593708046645e-07, + "loss": 0.9287, + "step": 6608 + }, + { + "epoch": 2.81, + "learning_rate": 5.807531437539317e-07, + "loss": 0.9305, + "step": 6609 + }, + { + "epoch": 2.81, + "learning_rate": 5.803470246432659e-07, + "loss": 0.6112, + "step": 6610 + }, + { + "epoch": 2.81, + "learning_rate": 5.799410135203554e-07, + "loss": 1.0361, + "step": 6611 + }, + { + "epoch": 2.81, + "learning_rate": 5.795351104328741e-07, + "loss": 0.6344, + "step": 6612 + }, + { + "epoch": 2.81, + "learning_rate": 5.791293154284849e-07, + "loss": 0.9735, + "step": 6613 + }, + { + "epoch": 2.81, + "learning_rate": 5.787236285548365e-07, + "loss": 0.8022, + "step": 6614 + }, + { + "epoch": 2.81, + "learning_rate": 5.783180498595663e-07, + "loss": 1.2343, + "step": 6615 + }, + { + "epoch": 2.81, + "learning_rate": 5.779125793902967e-07, + "loss": 1.0711, + "step": 6616 + }, + { + "epoch": 2.82, + "learning_rate": 5.775072171946413e-07, + "loss": 0.9527, + "step": 6617 + }, + { + "epoch": 2.82, + "learning_rate": 5.77101963320197e-07, + "loss": 1.0889, + "step": 6618 + }, + { + "epoch": 2.82, + "learning_rate": 5.766968178145505e-07, + "loss": 0.6484, + "step": 6619 + }, + { + "epoch": 2.82, + "learning_rate": 5.762917807252742e-07, + "loss": 0.8916, + "step": 6620 + }, + { + "epoch": 2.82, + "learning_rate": 5.758868520999292e-07, + "loss": 0.757, + "step": 6621 + }, + { + "epoch": 2.82, + "learning_rate": 5.754820319860622e-07, + "loss": 0.8059, + "step": 6622 + }, + { + "epoch": 2.82, + "learning_rate": 5.750773204312088e-07, + "loss": 0.8707, + "step": 6623 + }, + { + "epoch": 2.82, + "learning_rate": 5.746727174828914e-07, + "loss": 0.8642, + "step": 6624 + }, + { + "epoch": 2.82, + "learning_rate": 5.742682231886184e-07, + "loss": 0.7834, + "step": 6625 + }, + { + "epoch": 2.82, + "learning_rate": 5.738638375958879e-07, + "loss": 1.0096, + "step": 6626 + }, + { + "epoch": 2.82, + "learning_rate": 5.734595607521822e-07, + "loss": 0.8443, + "step": 6627 + }, + { + "epoch": 2.82, + "learning_rate": 5.730553927049734e-07, + "loss": 0.9626, + "step": 6628 + }, + { + "epoch": 2.82, + "learning_rate": 5.7265133350172e-07, + "loss": 0.9422, + "step": 6629 + }, + { + "epoch": 2.82, + "learning_rate": 5.722473831898665e-07, + "loss": 0.9313, + "step": 6630 + }, + { + "epoch": 2.82, + "learning_rate": 5.718435418168464e-07, + "loss": 0.9742, + "step": 6631 + }, + { + "epoch": 2.82, + "learning_rate": 5.714398094300802e-07, + "loss": 1.0311, + "step": 6632 + }, + { + "epoch": 2.82, + "learning_rate": 5.710361860769738e-07, + "loss": 0.7591, + "step": 6633 + }, + { + "epoch": 2.82, + "learning_rate": 5.706326718049228e-07, + "loss": 0.963, + "step": 6634 + }, + { + "epoch": 2.82, + "learning_rate": 5.702292666613078e-07, + "loss": 1.0482, + "step": 6635 + }, + { + "epoch": 2.82, + "learning_rate": 5.698259706934985e-07, + "loss": 0.7216, + "step": 6636 + }, + { + "epoch": 2.82, + "learning_rate": 5.694227839488497e-07, + "loss": 1.0699, + "step": 6637 + }, + { + "epoch": 2.82, + "learning_rate": 5.69019706474705e-07, + "loss": 0.9313, + "step": 6638 + }, + { + "epoch": 2.82, + "learning_rate": 5.68616738318395e-07, + "loss": 1.2297, + "step": 6639 + }, + { + "epoch": 2.83, + "learning_rate": 5.682138795272374e-07, + "loss": 0.8746, + "step": 6640 + }, + { + "epoch": 2.83, + "learning_rate": 5.678111301485359e-07, + "loss": 0.7744, + "step": 6641 + }, + { + "epoch": 2.83, + "learning_rate": 5.674084902295831e-07, + "loss": 0.8652, + "step": 6642 + }, + { + "epoch": 2.83, + "learning_rate": 5.67005959817657e-07, + "loss": 0.9353, + "step": 6643 + }, + { + "epoch": 2.83, + "learning_rate": 5.666035389600247e-07, + "loss": 0.808, + "step": 6644 + }, + { + "epoch": 2.83, + "learning_rate": 5.662012277039378e-07, + "loss": 0.8753, + "step": 6645 + }, + { + "epoch": 2.83, + "learning_rate": 5.657990260966385e-07, + "loss": 1.2135, + "step": 6646 + }, + { + "epoch": 2.83, + "learning_rate": 5.653969341853528e-07, + "loss": 0.9469, + "step": 6647 + }, + { + "epoch": 2.83, + "learning_rate": 5.649949520172965e-07, + "loss": 0.7446, + "step": 6648 + }, + { + "epoch": 2.83, + "learning_rate": 5.645930796396701e-07, + "loss": 0.8081, + "step": 6649 + }, + { + "epoch": 2.83, + "learning_rate": 5.641913170996633e-07, + "loss": 0.9327, + "step": 6650 + }, + { + "epoch": 2.83, + "learning_rate": 5.63789664444451e-07, + "loss": 0.7342, + "step": 6651 + }, + { + "epoch": 2.83, + "learning_rate": 5.633881217211971e-07, + "loss": 1.2369, + "step": 6652 + }, + { + "epoch": 2.83, + "learning_rate": 5.629866889770507e-07, + "loss": 1.0942, + "step": 6653 + }, + { + "epoch": 2.83, + "learning_rate": 5.625853662591497e-07, + "loss": 1.0137, + "step": 6654 + }, + { + "epoch": 2.83, + "learning_rate": 5.62184153614618e-07, + "loss": 1.0531, + "step": 6655 + }, + { + "epoch": 2.83, + "learning_rate": 5.617830510905676e-07, + "loss": 0.8828, + "step": 6656 + }, + { + "epoch": 2.83, + "learning_rate": 5.613820587340959e-07, + "loss": 1.1156, + "step": 6657 + }, + { + "epoch": 2.83, + "learning_rate": 5.609811765922892e-07, + "loss": 1.0926, + "step": 6658 + }, + { + "epoch": 2.83, + "learning_rate": 5.60580404712219e-07, + "loss": 0.8144, + "step": 6659 + }, + { + "epoch": 2.83, + "learning_rate": 5.601797431409453e-07, + "loss": 1.2064, + "step": 6660 + }, + { + "epoch": 2.83, + "learning_rate": 5.597791919255156e-07, + "loss": 1.0661, + "step": 6661 + }, + { + "epoch": 2.83, + "learning_rate": 5.593787511129619e-07, + "loss": 0.8748, + "step": 6662 + }, + { + "epoch": 2.84, + "learning_rate": 5.589784207503064e-07, + "loss": 0.877, + "step": 6663 + }, + { + "epoch": 2.84, + "learning_rate": 5.585782008845557e-07, + "loss": 0.8054, + "step": 6664 + }, + { + "epoch": 2.84, + "learning_rate": 5.581780915627053e-07, + "loss": 1.0534, + "step": 6665 + }, + { + "epoch": 2.84, + "learning_rate": 5.577780928317363e-07, + "loss": 0.7029, + "step": 6666 + }, + { + "epoch": 2.84, + "learning_rate": 5.573782047386181e-07, + "loss": 1.0319, + "step": 6667 + }, + { + "epoch": 2.84, + "learning_rate": 5.569784273303052e-07, + "loss": 1.1198, + "step": 6668 + }, + { + "epoch": 2.84, + "learning_rate": 5.565787606537423e-07, + "loss": 1.4661, + "step": 6669 + }, + { + "epoch": 2.84, + "learning_rate": 5.561792047558577e-07, + "loss": 1.0039, + "step": 6670 + }, + { + "epoch": 2.84, + "learning_rate": 5.557797596835692e-07, + "loss": 1.0713, + "step": 6671 + }, + { + "epoch": 2.84, + "learning_rate": 5.553804254837795e-07, + "loss": 0.5375, + "step": 6672 + }, + { + "epoch": 2.84, + "learning_rate": 5.549812022033804e-07, + "loss": 1.0477, + "step": 6673 + }, + { + "epoch": 2.84, + "learning_rate": 5.545820898892484e-07, + "loss": 0.8886, + "step": 6674 + }, + { + "epoch": 2.84, + "learning_rate": 5.541830885882489e-07, + "loss": 0.8701, + "step": 6675 + }, + { + "epoch": 2.84, + "learning_rate": 5.537841983472337e-07, + "loss": 0.8144, + "step": 6676 + }, + { + "epoch": 2.84, + "learning_rate": 5.533854192130415e-07, + "loss": 0.8335, + "step": 6677 + }, + { + "epoch": 2.84, + "learning_rate": 5.529867512324971e-07, + "loss": 0.9749, + "step": 6678 + }, + { + "epoch": 2.84, + "learning_rate": 5.525881944524139e-07, + "loss": 0.8123, + "step": 6679 + }, + { + "epoch": 2.84, + "learning_rate": 5.521897489195905e-07, + "loss": 0.8737, + "step": 6680 + }, + { + "epoch": 2.84, + "learning_rate": 5.517914146808141e-07, + "loss": 1.2291, + "step": 6681 + }, + { + "epoch": 2.84, + "learning_rate": 5.513931917828572e-07, + "loss": 0.8525, + "step": 6682 + }, + { + "epoch": 2.84, + "learning_rate": 5.509950802724804e-07, + "loss": 0.9895, + "step": 6683 + }, + { + "epoch": 2.84, + "learning_rate": 5.505970801964309e-07, + "loss": 0.9287, + "step": 6684 + }, + { + "epoch": 2.84, + "learning_rate": 5.501991916014434e-07, + "loss": 0.7347, + "step": 6685 + }, + { + "epoch": 2.85, + "learning_rate": 5.498014145342376e-07, + "loss": 0.9282, + "step": 6686 + }, + { + "epoch": 2.85, + "learning_rate": 5.494037490415229e-07, + "loss": 0.9136, + "step": 6687 + }, + { + "epoch": 2.85, + "learning_rate": 5.490061951699925e-07, + "loss": 0.9592, + "step": 6688 + }, + { + "epoch": 2.85, + "learning_rate": 5.486087529663293e-07, + "loss": 1.2893, + "step": 6689 + }, + { + "epoch": 2.85, + "learning_rate": 5.48211422477201e-07, + "loss": 1.3141, + "step": 6690 + }, + { + "epoch": 2.85, + "learning_rate": 5.478142037492636e-07, + "loss": 0.9035, + "step": 6691 + }, + { + "epoch": 2.85, + "learning_rate": 5.474170968291596e-07, + "loss": 0.8267, + "step": 6692 + }, + { + "epoch": 2.85, + "learning_rate": 5.470201017635175e-07, + "loss": 0.8622, + "step": 6693 + }, + { + "epoch": 2.85, + "learning_rate": 5.466232185989544e-07, + "loss": 0.6549, + "step": 6694 + }, + { + "epoch": 2.85, + "learning_rate": 5.46226447382072e-07, + "loss": 1.1745, + "step": 6695 + }, + { + "epoch": 2.85, + "learning_rate": 5.458297881594611e-07, + "loss": 1.0481, + "step": 6696 + }, + { + "epoch": 2.85, + "learning_rate": 5.45433240977697e-07, + "loss": 0.8917, + "step": 6697 + }, + { + "epoch": 2.85, + "learning_rate": 5.450368058833452e-07, + "loss": 1.0141, + "step": 6698 + }, + { + "epoch": 2.85, + "learning_rate": 5.446404829229542e-07, + "loss": 0.9496, + "step": 6699 + }, + { + "epoch": 2.85, + "learning_rate": 5.442442721430626e-07, + "loss": 0.8455, + "step": 6700 + }, + { + "epoch": 2.85, + "learning_rate": 5.43848173590193e-07, + "loss": 1.1289, + "step": 6701 + }, + { + "epoch": 2.85, + "learning_rate": 5.434521873108573e-07, + "loss": 0.8126, + "step": 6702 + }, + { + "epoch": 2.85, + "learning_rate": 5.430563133515524e-07, + "loss": 0.8972, + "step": 6703 + }, + { + "epoch": 2.85, + "learning_rate": 5.426605517587633e-07, + "loss": 0.9698, + "step": 6704 + }, + { + "epoch": 2.85, + "learning_rate": 5.422649025789598e-07, + "loss": 0.8235, + "step": 6705 + }, + { + "epoch": 2.85, + "learning_rate": 5.418693658586022e-07, + "loss": 0.6997, + "step": 6706 + }, + { + "epoch": 2.85, + "learning_rate": 5.414739416441336e-07, + "loss": 1.3812, + "step": 6707 + }, + { + "epoch": 2.85, + "learning_rate": 5.410786299819867e-07, + "loss": 1.2818, + "step": 6708 + }, + { + "epoch": 2.85, + "learning_rate": 5.406834309185789e-07, + "loss": 0.9557, + "step": 6709 + }, + { + "epoch": 2.86, + "learning_rate": 5.402883445003162e-07, + "loss": 0.9007, + "step": 6710 + }, + { + "epoch": 2.86, + "learning_rate": 5.398933707735899e-07, + "loss": 0.8003, + "step": 6711 + }, + { + "epoch": 2.86, + "learning_rate": 5.39498509784779e-07, + "loss": 0.9896, + "step": 6712 + }, + { + "epoch": 2.86, + "learning_rate": 5.391037615802488e-07, + "loss": 0.9956, + "step": 6713 + }, + { + "epoch": 2.86, + "learning_rate": 5.387091262063525e-07, + "loss": 0.7331, + "step": 6714 + }, + { + "epoch": 2.86, + "learning_rate": 5.383146037094277e-07, + "loss": 0.963, + "step": 6715 + }, + { + "epoch": 2.86, + "learning_rate": 5.379201941358012e-07, + "loss": 0.9099, + "step": 6716 + }, + { + "epoch": 2.86, + "learning_rate": 5.375258975317848e-07, + "loss": 1.1426, + "step": 6717 + }, + { + "epoch": 2.86, + "learning_rate": 5.371317139436782e-07, + "loss": 0.8337, + "step": 6718 + }, + { + "epoch": 2.86, + "learning_rate": 5.367376434177668e-07, + "loss": 0.8163, + "step": 6719 + }, + { + "epoch": 2.86, + "learning_rate": 5.363436860003233e-07, + "loss": 0.8717, + "step": 6720 + }, + { + "epoch": 2.86, + "learning_rate": 5.359498417376079e-07, + "loss": 1.0425, + "step": 6721 + }, + { + "epoch": 2.86, + "learning_rate": 5.355561106758656e-07, + "loss": 0.8522, + "step": 6722 + }, + { + "epoch": 2.86, + "learning_rate": 5.351624928613303e-07, + "loss": 0.9776, + "step": 6723 + }, + { + "epoch": 2.86, + "learning_rate": 5.347689883402204e-07, + "loss": 0.9036, + "step": 6724 + }, + { + "epoch": 2.86, + "learning_rate": 5.343755971587428e-07, + "loss": 0.9006, + "step": 6725 + }, + { + "epoch": 2.86, + "learning_rate": 5.339823193630904e-07, + "loss": 0.7296, + "step": 6726 + }, + { + "epoch": 2.86, + "learning_rate": 5.335891549994422e-07, + "loss": 0.9245, + "step": 6727 + }, + { + "epoch": 2.86, + "learning_rate": 5.33196104113965e-07, + "loss": 0.9016, + "step": 6728 + }, + { + "epoch": 2.86, + "learning_rate": 5.328031667528119e-07, + "loss": 1.3822, + "step": 6729 + }, + { + "epoch": 2.86, + "learning_rate": 5.324103429621218e-07, + "loss": 1.0795, + "step": 6730 + }, + { + "epoch": 2.86, + "learning_rate": 5.320176327880219e-07, + "loss": 1.2789, + "step": 6731 + }, + { + "epoch": 2.86, + "learning_rate": 5.316250362766239e-07, + "loss": 0.7353, + "step": 6732 + }, + { + "epoch": 2.87, + "learning_rate": 5.312325534740287e-07, + "loss": 1.0117, + "step": 6733 + }, + { + "epoch": 2.87, + "learning_rate": 5.308401844263215e-07, + "loss": 0.8736, + "step": 6734 + }, + { + "epoch": 2.87, + "learning_rate": 5.304479291795754e-07, + "loss": 0.8886, + "step": 6735 + }, + { + "epoch": 2.87, + "learning_rate": 5.300557877798501e-07, + "loss": 0.8625, + "step": 6736 + }, + { + "epoch": 2.87, + "learning_rate": 5.296637602731922e-07, + "loss": 0.8127, + "step": 6737 + }, + { + "epoch": 2.87, + "learning_rate": 5.292718467056336e-07, + "loss": 0.8307, + "step": 6738 + }, + { + "epoch": 2.87, + "learning_rate": 5.288800471231945e-07, + "loss": 0.4992, + "step": 6739 + }, + { + "epoch": 2.87, + "learning_rate": 5.284883615718798e-07, + "loss": 1.0425, + "step": 6740 + }, + { + "epoch": 2.87, + "learning_rate": 5.280967900976833e-07, + "loss": 0.7193, + "step": 6741 + }, + { + "epoch": 2.87, + "learning_rate": 5.27705332746583e-07, + "loss": 1.2148, + "step": 6742 + }, + { + "epoch": 2.87, + "learning_rate": 5.273139895645462e-07, + "loss": 1.3616, + "step": 6743 + }, + { + "epoch": 2.87, + "learning_rate": 5.26922760597524e-07, + "loss": 0.9569, + "step": 6744 + }, + { + "epoch": 2.87, + "learning_rate": 5.265316458914565e-07, + "loss": 1.0759, + "step": 6745 + }, + { + "epoch": 2.87, + "learning_rate": 5.261406454922681e-07, + "loss": 1.3272, + "step": 6746 + }, + { + "epoch": 2.87, + "learning_rate": 5.257497594458723e-07, + "loss": 0.8707, + "step": 6747 + }, + { + "epoch": 2.87, + "learning_rate": 5.253589877981663e-07, + "loss": 0.9871, + "step": 6748 + }, + { + "epoch": 2.87, + "learning_rate": 5.24968330595037e-07, + "loss": 1.0083, + "step": 6749 + }, + { + "epoch": 2.87, + "learning_rate": 5.245777878823549e-07, + "loss": 0.9802, + "step": 6750 + }, + { + "epoch": 2.87, + "learning_rate": 5.241873597059788e-07, + "loss": 1.062, + "step": 6751 + }, + { + "epoch": 2.87, + "learning_rate": 5.237970461117544e-07, + "loss": 0.6993, + "step": 6752 + }, + { + "epoch": 2.87, + "learning_rate": 5.234068471455122e-07, + "loss": 0.8015, + "step": 6753 + }, + { + "epoch": 2.87, + "learning_rate": 5.230167628530709e-07, + "loss": 0.728, + "step": 6754 + }, + { + "epoch": 2.87, + "learning_rate": 5.226267932802352e-07, + "loss": 0.8624, + "step": 6755 + }, + { + "epoch": 2.88, + "learning_rate": 5.222369384727955e-07, + "loss": 1.1083, + "step": 6756 + }, + { + "epoch": 2.88, + "learning_rate": 5.218471984765298e-07, + "loss": 1.1479, + "step": 6757 + }, + { + "epoch": 2.88, + "learning_rate": 5.214575733372029e-07, + "loss": 0.8115, + "step": 6758 + }, + { + "epoch": 2.88, + "learning_rate": 5.210680631005644e-07, + "loss": 0.8289, + "step": 6759 + }, + { + "epoch": 2.88, + "learning_rate": 5.206786678123524e-07, + "loss": 1.0693, + "step": 6760 + }, + { + "epoch": 2.88, + "learning_rate": 5.202893875182899e-07, + "loss": 0.7835, + "step": 6761 + }, + { + "epoch": 2.88, + "learning_rate": 5.199002222640877e-07, + "loss": 0.8986, + "step": 6762 + }, + { + "epoch": 2.88, + "learning_rate": 5.195111720954417e-07, + "loss": 0.6207, + "step": 6763 + }, + { + "epoch": 2.88, + "learning_rate": 5.191222370580354e-07, + "loss": 1.1123, + "step": 6764 + }, + { + "epoch": 2.88, + "learning_rate": 5.187334171975387e-07, + "loss": 0.7692, + "step": 6765 + }, + { + "epoch": 2.88, + "learning_rate": 5.183447125596078e-07, + "loss": 0.9488, + "step": 6766 + }, + { + "epoch": 2.88, + "learning_rate": 5.179561231898847e-07, + "loss": 1.0254, + "step": 6767 + }, + { + "epoch": 2.88, + "learning_rate": 5.175676491339992e-07, + "loss": 0.6845, + "step": 6768 + }, + { + "epoch": 2.88, + "learning_rate": 5.17179290437566e-07, + "loss": 1.1208, + "step": 6769 + }, + { + "epoch": 2.88, + "learning_rate": 5.167910471461879e-07, + "loss": 1.1642, + "step": 6770 + }, + { + "epoch": 2.88, + "learning_rate": 5.164029193054525e-07, + "loss": 0.8239, + "step": 6771 + }, + { + "epoch": 2.88, + "learning_rate": 5.160149069609349e-07, + "loss": 1.3108, + "step": 6772 + }, + { + "epoch": 2.88, + "learning_rate": 5.156270101581966e-07, + "loss": 0.7765, + "step": 6773 + }, + { + "epoch": 2.88, + "learning_rate": 5.152392289427857e-07, + "loss": 1.026, + "step": 6774 + }, + { + "epoch": 2.88, + "learning_rate": 5.148515633602356e-07, + "loss": 0.9479, + "step": 6775 + }, + { + "epoch": 2.88, + "learning_rate": 5.144640134560675e-07, + "loss": 0.7622, + "step": 6776 + }, + { + "epoch": 2.88, + "learning_rate": 5.140765792757878e-07, + "loss": 0.9292, + "step": 6777 + }, + { + "epoch": 2.88, + "learning_rate": 5.136892608648906e-07, + "loss": 0.7639, + "step": 6778 + }, + { + "epoch": 2.89, + "learning_rate": 5.133020582688548e-07, + "loss": 0.8791, + "step": 6779 + }, + { + "epoch": 2.89, + "learning_rate": 5.129149715331472e-07, + "loss": 0.8654, + "step": 6780 + }, + { + "epoch": 2.89, + "learning_rate": 5.125280007032203e-07, + "loss": 1.0054, + "step": 6781 + }, + { + "epoch": 2.89, + "learning_rate": 5.121411458245136e-07, + "loss": 1.0754, + "step": 6782 + }, + { + "epoch": 2.89, + "learning_rate": 5.117544069424515e-07, + "loss": 0.9301, + "step": 6783 + }, + { + "epoch": 2.89, + "learning_rate": 5.113677841024468e-07, + "loss": 1.0822, + "step": 6784 + }, + { + "epoch": 2.89, + "learning_rate": 5.109812773498967e-07, + "loss": 0.8768, + "step": 6785 + }, + { + "epoch": 2.89, + "learning_rate": 5.105948867301867e-07, + "loss": 0.9711, + "step": 6786 + }, + { + "epoch": 2.89, + "learning_rate": 5.102086122886865e-07, + "loss": 1.0114, + "step": 6787 + }, + { + "epoch": 2.89, + "learning_rate": 5.098224540707539e-07, + "loss": 1.0124, + "step": 6788 + }, + { + "epoch": 2.89, + "learning_rate": 5.094364121217329e-07, + "loss": 0.8331, + "step": 6789 + }, + { + "epoch": 2.89, + "learning_rate": 5.090504864869528e-07, + "loss": 0.7554, + "step": 6790 + }, + { + "epoch": 2.89, + "learning_rate": 5.086646772117306e-07, + "loss": 0.9992, + "step": 6791 + }, + { + "epoch": 2.89, + "learning_rate": 5.082789843413678e-07, + "loss": 0.9784, + "step": 6792 + }, + { + "epoch": 2.89, + "learning_rate": 5.078934079211545e-07, + "loss": 0.3653, + "step": 6793 + }, + { + "epoch": 2.89, + "learning_rate": 5.075079479963645e-07, + "loss": 0.7908, + "step": 6794 + }, + { + "epoch": 2.89, + "learning_rate": 5.071226046122612e-07, + "loss": 1.0422, + "step": 6795 + }, + { + "epoch": 2.89, + "learning_rate": 5.06737377814091e-07, + "loss": 0.6614, + "step": 6796 + }, + { + "epoch": 2.89, + "learning_rate": 5.063522676470894e-07, + "loss": 1.2836, + "step": 6797 + }, + { + "epoch": 2.89, + "learning_rate": 5.059672741564757e-07, + "loss": 0.9922, + "step": 6798 + }, + { + "epoch": 2.89, + "learning_rate": 5.055823973874577e-07, + "loss": 0.9041, + "step": 6799 + }, + { + "epoch": 2.89, + "learning_rate": 5.051976373852277e-07, + "loss": 1.0102, + "step": 6800 + }, + { + "epoch": 2.89, + "learning_rate": 5.048129941949657e-07, + "loss": 1.1083, + "step": 6801 + }, + { + "epoch": 2.9, + "learning_rate": 5.044284678618365e-07, + "loss": 0.8899, + "step": 6802 + }, + { + "epoch": 2.9, + "learning_rate": 5.040440584309935e-07, + "loss": 0.5971, + "step": 6803 + }, + { + "epoch": 2.9, + "learning_rate": 5.036597659475736e-07, + "loss": 1.1725, + "step": 6804 + }, + { + "epoch": 2.9, + "learning_rate": 5.032755904567024e-07, + "loss": 0.9862, + "step": 6805 + }, + { + "epoch": 2.9, + "learning_rate": 5.028915320034895e-07, + "loss": 1.0762, + "step": 6806 + }, + { + "epoch": 2.9, + "learning_rate": 5.025075906330332e-07, + "loss": 1.0328, + "step": 6807 + }, + { + "epoch": 2.9, + "learning_rate": 5.021237663904155e-07, + "loss": 0.9143, + "step": 6808 + }, + { + "epoch": 2.9, + "learning_rate": 5.017400593207066e-07, + "loss": 0.8756, + "step": 6809 + }, + { + "epoch": 2.9, + "learning_rate": 5.013564694689622e-07, + "loss": 1.0568, + "step": 6810 + }, + { + "epoch": 2.9, + "learning_rate": 5.009729968802246e-07, + "loss": 1.003, + "step": 6811 + }, + { + "epoch": 2.9, + "learning_rate": 5.005896415995213e-07, + "loss": 0.9674, + "step": 6812 + }, + { + "epoch": 2.9, + "learning_rate": 5.002064036718678e-07, + "loss": 0.9427, + "step": 6813 + }, + { + "epoch": 2.9, + "learning_rate": 4.998232831422635e-07, + "loss": 1.065, + "step": 6814 + }, + { + "epoch": 2.9, + "learning_rate": 4.994402800556964e-07, + "loss": 1.1748, + "step": 6815 + }, + { + "epoch": 2.9, + "learning_rate": 4.990573944571388e-07, + "loss": 0.8511, + "step": 6816 + }, + { + "epoch": 2.9, + "learning_rate": 4.9867462639155e-07, + "loss": 0.8082, + "step": 6817 + }, + { + "epoch": 2.9, + "learning_rate": 4.982919759038767e-07, + "loss": 0.698, + "step": 6818 + }, + { + "epoch": 2.9, + "learning_rate": 4.97909443039049e-07, + "loss": 0.6419, + "step": 6819 + }, + { + "epoch": 2.9, + "learning_rate": 4.97527027841986e-07, + "loss": 0.7873, + "step": 6820 + }, + { + "epoch": 2.9, + "learning_rate": 4.971447303575908e-07, + "loss": 1.2329, + "step": 6821 + }, + { + "epoch": 2.9, + "learning_rate": 4.967625506307546e-07, + "loss": 0.7233, + "step": 6822 + }, + { + "epoch": 2.9, + "learning_rate": 4.963804887063529e-07, + "loss": 1.1292, + "step": 6823 + }, + { + "epoch": 2.9, + "learning_rate": 4.959985446292487e-07, + "loss": 1.0467, + "step": 6824 + }, + { + "epoch": 2.91, + "learning_rate": 4.956167184442906e-07, + "loss": 0.8471, + "step": 6825 + }, + { + "epoch": 2.91, + "learning_rate": 4.952350101963145e-07, + "loss": 0.866, + "step": 6826 + }, + { + "epoch": 2.91, + "learning_rate": 4.948534199301399e-07, + "loss": 1.0202, + "step": 6827 + }, + { + "epoch": 2.91, + "learning_rate": 4.944719476905753e-07, + "loss": 0.9948, + "step": 6828 + }, + { + "epoch": 2.91, + "learning_rate": 4.940905935224129e-07, + "loss": 1.0247, + "step": 6829 + }, + { + "epoch": 2.91, + "learning_rate": 4.937093574704333e-07, + "loss": 0.8885, + "step": 6830 + }, + { + "epoch": 2.91, + "learning_rate": 4.933282395794006e-07, + "loss": 0.8857, + "step": 6831 + }, + { + "epoch": 2.91, + "learning_rate": 4.929472398940684e-07, + "loss": 1.1904, + "step": 6832 + }, + { + "epoch": 2.91, + "learning_rate": 4.925663584591732e-07, + "loss": 0.7756, + "step": 6833 + }, + { + "epoch": 2.91, + "learning_rate": 4.921855953194397e-07, + "loss": 0.6324, + "step": 6834 + }, + { + "epoch": 2.91, + "learning_rate": 4.918049505195774e-07, + "loss": 0.9053, + "step": 6835 + }, + { + "epoch": 2.91, + "learning_rate": 4.914244241042833e-07, + "loss": 0.8347, + "step": 6836 + }, + { + "epoch": 2.91, + "learning_rate": 4.910440161182386e-07, + "loss": 0.8604, + "step": 6837 + }, + { + "epoch": 2.91, + "learning_rate": 4.906637266061127e-07, + "loss": 0.9569, + "step": 6838 + }, + { + "epoch": 2.91, + "learning_rate": 4.902835556125585e-07, + "loss": 1.0493, + "step": 6839 + }, + { + "epoch": 2.91, + "learning_rate": 4.899035031822189e-07, + "loss": 0.7797, + "step": 6840 + }, + { + "epoch": 2.91, + "learning_rate": 4.895235693597187e-07, + "loss": 0.8133, + "step": 6841 + }, + { + "epoch": 2.91, + "learning_rate": 4.891437541896715e-07, + "loss": 1.1558, + "step": 6842 + }, + { + "epoch": 2.91, + "learning_rate": 4.887640577166753e-07, + "loss": 0.8481, + "step": 6843 + }, + { + "epoch": 2.91, + "learning_rate": 4.883844799853158e-07, + "loss": 1.0548, + "step": 6844 + }, + { + "epoch": 2.91, + "learning_rate": 4.88005021040163e-07, + "loss": 1.1777, + "step": 6845 + }, + { + "epoch": 2.91, + "learning_rate": 4.876256809257744e-07, + "loss": 1.0899, + "step": 6846 + }, + { + "epoch": 2.91, + "learning_rate": 4.872464596866931e-07, + "loss": 0.8132, + "step": 6847 + }, + { + "epoch": 2.91, + "learning_rate": 4.868673573674477e-07, + "loss": 0.7671, + "step": 6848 + }, + { + "epoch": 2.92, + "learning_rate": 4.864883740125538e-07, + "loss": 1.1772, + "step": 6849 + }, + { + "epoch": 2.92, + "learning_rate": 4.861095096665116e-07, + "loss": 0.8988, + "step": 6850 + }, + { + "epoch": 2.92, + "learning_rate": 4.857307643738087e-07, + "loss": 0.8394, + "step": 6851 + }, + { + "epoch": 2.92, + "learning_rate": 4.853521381789189e-07, + "loss": 1.2451, + "step": 6852 + }, + { + "epoch": 2.92, + "learning_rate": 4.849736311263003e-07, + "loss": 0.6033, + "step": 6853 + }, + { + "epoch": 2.92, + "learning_rate": 4.845952432603984e-07, + "loss": 0.9944, + "step": 6854 + }, + { + "epoch": 2.92, + "learning_rate": 4.842169746256451e-07, + "loss": 0.7334, + "step": 6855 + }, + { + "epoch": 2.92, + "learning_rate": 4.838388252664564e-07, + "loss": 0.915, + "step": 6856 + }, + { + "epoch": 2.92, + "learning_rate": 4.834607952272364e-07, + "loss": 0.6945, + "step": 6857 + }, + { + "epoch": 2.92, + "learning_rate": 4.830828845523734e-07, + "loss": 0.7072, + "step": 6858 + }, + { + "epoch": 2.92, + "learning_rate": 4.827050932862436e-07, + "loss": 0.883, + "step": 6859 + }, + { + "epoch": 2.92, + "learning_rate": 4.82327421473207e-07, + "loss": 0.9067, + "step": 6860 + }, + { + "epoch": 2.92, + "learning_rate": 4.819498691576112e-07, + "loss": 4.7683, + "step": 6861 + }, + { + "epoch": 2.92, + "learning_rate": 4.815724363837893e-07, + "loss": 1.2178, + "step": 6862 + }, + { + "epoch": 2.92, + "learning_rate": 4.811951231960606e-07, + "loss": 0.5719, + "step": 6863 + }, + { + "epoch": 2.92, + "learning_rate": 4.808179296387294e-07, + "loss": 0.8609, + "step": 6864 + }, + { + "epoch": 2.92, + "learning_rate": 4.804408557560875e-07, + "loss": 0.9074, + "step": 6865 + }, + { + "epoch": 2.92, + "learning_rate": 4.800639015924106e-07, + "loss": 1.0529, + "step": 6866 + }, + { + "epoch": 2.92, + "learning_rate": 4.796870671919628e-07, + "loss": 1.0007, + "step": 6867 + }, + { + "epoch": 2.92, + "learning_rate": 4.793103525989917e-07, + "loss": 0.9253, + "step": 6868 + }, + { + "epoch": 2.92, + "learning_rate": 4.789337578577326e-07, + "loss": 1.0018, + "step": 6869 + }, + { + "epoch": 2.92, + "learning_rate": 4.78557283012406e-07, + "loss": 0.6839, + "step": 6870 + }, + { + "epoch": 2.92, + "learning_rate": 4.781809281072189e-07, + "loss": 0.8069, + "step": 6871 + }, + { + "epoch": 2.93, + "learning_rate": 4.778046931863629e-07, + "loss": 0.9593, + "step": 6872 + }, + { + "epoch": 2.93, + "learning_rate": 4.774285782940173e-07, + "loss": 0.7618, + "step": 6873 + }, + { + "epoch": 2.93, + "learning_rate": 4.770525834743453e-07, + "loss": 0.9935, + "step": 6874 + }, + { + "epoch": 2.93, + "learning_rate": 4.766767087714983e-07, + "loss": 0.6619, + "step": 6875 + }, + { + "epoch": 2.93, + "learning_rate": 4.76300954229611e-07, + "loss": 0.777, + "step": 6876 + }, + { + "epoch": 2.93, + "learning_rate": 4.7592531989280615e-07, + "loss": 1.0431, + "step": 6877 + }, + { + "epoch": 2.93, + "learning_rate": 4.755498058051915e-07, + "loss": 0.9674, + "step": 6878 + }, + { + "epoch": 2.93, + "learning_rate": 4.7517441201086124e-07, + "loss": 0.7967, + "step": 6879 + }, + { + "epoch": 2.93, + "learning_rate": 4.747991385538942e-07, + "loss": 0.8273, + "step": 6880 + }, + { + "epoch": 2.93, + "learning_rate": 4.7442398547835655e-07, + "loss": 0.843, + "step": 6881 + }, + { + "epoch": 2.93, + "learning_rate": 4.740489528282986e-07, + "loss": 1.214, + "step": 6882 + }, + { + "epoch": 2.93, + "learning_rate": 4.736740406477583e-07, + "loss": 0.9618, + "step": 6883 + }, + { + "epoch": 2.93, + "learning_rate": 4.73299248980759e-07, + "loss": 0.9377, + "step": 6884 + }, + { + "epoch": 2.93, + "learning_rate": 4.729245778713087e-07, + "loss": 1.2154, + "step": 6885 + }, + { + "epoch": 2.93, + "learning_rate": 4.72550027363403e-07, + "loss": 1.1449, + "step": 6886 + }, + { + "epoch": 2.93, + "learning_rate": 4.7217559750102163e-07, + "loss": 0.8987, + "step": 6887 + }, + { + "epoch": 2.93, + "learning_rate": 4.7180128832813187e-07, + "loss": 0.973, + "step": 6888 + }, + { + "epoch": 2.93, + "learning_rate": 4.7142709988868515e-07, + "loss": 0.9007, + "step": 6889 + }, + { + "epoch": 2.93, + "learning_rate": 4.710530322266204e-07, + "loss": 0.8879, + "step": 6890 + }, + { + "epoch": 2.93, + "learning_rate": 4.706790853858599e-07, + "loss": 0.9737, + "step": 6891 + }, + { + "epoch": 2.93, + "learning_rate": 4.703052594103156e-07, + "loss": 0.6417, + "step": 6892 + }, + { + "epoch": 2.93, + "learning_rate": 4.6993155434388135e-07, + "loss": 0.8494, + "step": 6893 + }, + { + "epoch": 2.93, + "learning_rate": 4.695579702304394e-07, + "loss": 1.1017, + "step": 6894 + }, + { + "epoch": 2.94, + "learning_rate": 4.691845071138558e-07, + "loss": 0.9717, + "step": 6895 + }, + { + "epoch": 2.94, + "learning_rate": 4.688111650379847e-07, + "loss": 1.0119, + "step": 6896 + }, + { + "epoch": 2.94, + "learning_rate": 4.6843794404666356e-07, + "loss": 1.0837, + "step": 6897 + }, + { + "epoch": 2.94, + "learning_rate": 4.680648441837175e-07, + "loss": 0.9741, + "step": 6898 + }, + { + "epoch": 2.94, + "learning_rate": 4.676918654929567e-07, + "loss": 0.7183, + "step": 6899 + }, + { + "epoch": 2.94, + "learning_rate": 4.6731900801817747e-07, + "loss": 1.0969, + "step": 6900 + }, + { + "epoch": 2.94, + "learning_rate": 4.669462718031608e-07, + "loss": 0.9842, + "step": 6901 + }, + { + "epoch": 2.94, + "learning_rate": 4.665736568916752e-07, + "loss": 0.9479, + "step": 6902 + }, + { + "epoch": 2.94, + "learning_rate": 4.6620116332747317e-07, + "loss": 0.8808, + "step": 6903 + }, + { + "epoch": 2.94, + "learning_rate": 4.6582879115429435e-07, + "loss": 1.1241, + "step": 6904 + }, + { + "epoch": 2.94, + "learning_rate": 4.654565404158626e-07, + "loss": 0.751, + "step": 6905 + }, + { + "epoch": 2.94, + "learning_rate": 4.6508441115588937e-07, + "loss": 1.1436, + "step": 6906 + }, + { + "epoch": 2.94, + "learning_rate": 4.6471240341807044e-07, + "loss": 0.9666, + "step": 6907 + }, + { + "epoch": 2.94, + "learning_rate": 4.6434051724608855e-07, + "loss": 0.5231, + "step": 6908 + }, + { + "epoch": 2.94, + "learning_rate": 4.6396875268361035e-07, + "loss": 1.0677, + "step": 6909 + }, + { + "epoch": 2.94, + "learning_rate": 4.6359710977429033e-07, + "loss": 0.9249, + "step": 6910 + }, + { + "epoch": 2.94, + "learning_rate": 4.6322558856176663e-07, + "loss": 0.9145, + "step": 6911 + }, + { + "epoch": 2.94, + "learning_rate": 4.6285418908966515e-07, + "loss": 0.8697, + "step": 6912 + }, + { + "epoch": 2.94, + "learning_rate": 4.624829114015954e-07, + "loss": 1.0297, + "step": 6913 + }, + { + "epoch": 2.94, + "learning_rate": 4.621117555411543e-07, + "loss": 1.3505, + "step": 6914 + }, + { + "epoch": 2.94, + "learning_rate": 4.6174072155192394e-07, + "loss": 4.8279, + "step": 6915 + }, + { + "epoch": 2.94, + "learning_rate": 4.613698094774715e-07, + "loss": 0.7519, + "step": 6916 + }, + { + "epoch": 2.94, + "learning_rate": 4.609990193613509e-07, + "loss": 0.9386, + "step": 6917 + }, + { + "epoch": 2.95, + "learning_rate": 4.6062835124710054e-07, + "loss": 1.2308, + "step": 6918 + }, + { + "epoch": 2.95, + "learning_rate": 4.6025780517824585e-07, + "loss": 1.2578, + "step": 6919 + }, + { + "epoch": 2.95, + "learning_rate": 4.598873811982963e-07, + "loss": 1.3408, + "step": 6920 + }, + { + "epoch": 2.95, + "learning_rate": 4.595170793507482e-07, + "loss": 0.8953, + "step": 6921 + }, + { + "epoch": 2.95, + "learning_rate": 4.591468996790836e-07, + "loss": 1.0259, + "step": 6922 + }, + { + "epoch": 2.95, + "learning_rate": 4.5877684222677006e-07, + "loss": 0.6202, + "step": 6923 + }, + { + "epoch": 2.95, + "learning_rate": 4.5840690703725965e-07, + "loss": 1.0515, + "step": 6924 + }, + { + "epoch": 2.95, + "learning_rate": 4.5803709415399216e-07, + "loss": 0.9609, + "step": 6925 + }, + { + "epoch": 2.95, + "learning_rate": 4.576674036203907e-07, + "loss": 0.9625, + "step": 6926 + }, + { + "epoch": 2.95, + "learning_rate": 4.5729783547986617e-07, + "loss": 0.9294, + "step": 6927 + }, + { + "epoch": 2.95, + "learning_rate": 4.569283897758127e-07, + "loss": 0.9591, + "step": 6928 + }, + { + "epoch": 2.95, + "learning_rate": 4.565590665516133e-07, + "loss": 0.6671, + "step": 6929 + }, + { + "epoch": 2.95, + "learning_rate": 4.561898658506335e-07, + "loss": 4.9669, + "step": 6930 + }, + { + "epoch": 2.95, + "learning_rate": 4.558207877162265e-07, + "loss": 0.798, + "step": 6931 + }, + { + "epoch": 2.95, + "learning_rate": 4.554518321917293e-07, + "loss": 0.3776, + "step": 6932 + }, + { + "epoch": 2.95, + "learning_rate": 4.5508299932046655e-07, + "loss": 0.7503, + "step": 6933 + }, + { + "epoch": 2.95, + "learning_rate": 4.547142891457464e-07, + "loss": 0.8741, + "step": 6934 + }, + { + "epoch": 2.95, + "learning_rate": 4.5434570171086463e-07, + "loss": 0.9987, + "step": 6935 + }, + { + "epoch": 2.95, + "learning_rate": 4.5397723705910027e-07, + "loss": 0.7232, + "step": 6936 + }, + { + "epoch": 2.95, + "learning_rate": 4.536088952337211e-07, + "loss": 0.9958, + "step": 6937 + }, + { + "epoch": 2.95, + "learning_rate": 4.5324067627797744e-07, + "loss": 1.4185, + "step": 6938 + }, + { + "epoch": 2.95, + "learning_rate": 4.5287258023510696e-07, + "loss": 1.1638, + "step": 6939 + }, + { + "epoch": 2.95, + "learning_rate": 4.5250460714833166e-07, + "loss": 0.9835, + "step": 6940 + }, + { + "epoch": 2.96, + "learning_rate": 4.521367570608607e-07, + "loss": 1.0868, + "step": 6941 + }, + { + "epoch": 2.96, + "learning_rate": 4.51769030015887e-07, + "loss": 0.8485, + "step": 6942 + }, + { + "epoch": 2.96, + "learning_rate": 4.514014260565901e-07, + "loss": 1.2362, + "step": 6943 + }, + { + "epoch": 2.96, + "learning_rate": 4.510339452261356e-07, + "loss": 0.8813, + "step": 6944 + }, + { + "epoch": 2.96, + "learning_rate": 4.5066658756767307e-07, + "loss": 0.8689, + "step": 6945 + }, + { + "epoch": 2.96, + "learning_rate": 4.5029935312433934e-07, + "loss": 1.3018, + "step": 6946 + }, + { + "epoch": 2.96, + "learning_rate": 4.4993224193925486e-07, + "loss": 1.29, + "step": 6947 + }, + { + "epoch": 2.96, + "learning_rate": 4.495652540555277e-07, + "loss": 1.0523, + "step": 6948 + }, + { + "epoch": 2.96, + "learning_rate": 4.4919838951624933e-07, + "loss": 0.7968, + "step": 6949 + }, + { + "epoch": 2.96, + "learning_rate": 4.4883164836449863e-07, + "loss": 0.8589, + "step": 6950 + }, + { + "epoch": 2.96, + "learning_rate": 4.484650306433389e-07, + "loss": 0.6609, + "step": 6951 + }, + { + "epoch": 2.96, + "learning_rate": 4.4809853639581975e-07, + "loss": 0.6932, + "step": 6952 + }, + { + "epoch": 2.96, + "learning_rate": 4.4773216566497504e-07, + "loss": 0.916, + "step": 6953 + }, + { + "epoch": 2.96, + "learning_rate": 4.473659184938255e-07, + "loss": 0.7064, + "step": 6954 + }, + { + "epoch": 2.96, + "learning_rate": 4.4699979492537594e-07, + "loss": 0.705, + "step": 6955 + }, + { + "epoch": 2.96, + "learning_rate": 4.466337950026183e-07, + "loss": 0.9455, + "step": 6956 + }, + { + "epoch": 2.96, + "learning_rate": 4.4626791876852814e-07, + "loss": 1.0578, + "step": 6957 + }, + { + "epoch": 2.96, + "learning_rate": 4.459021662660682e-07, + "loss": 0.8358, + "step": 6958 + }, + { + "epoch": 2.96, + "learning_rate": 4.455365375381857e-07, + "loss": 0.7889, + "step": 6959 + }, + { + "epoch": 2.96, + "learning_rate": 4.4517103262781414e-07, + "loss": 0.9533, + "step": 6960 + }, + { + "epoch": 2.96, + "eval_loss": 1.2546870708465576, + "eval_runtime": 32.2613, + "eval_samples_per_second": 38.591, + "eval_steps_per_second": 19.311, + "step": 6960 + }, + { + "epoch": 2.96, + "learning_rate": 4.4480565157787115e-07, + "loss": 0.8309, + "step": 6961 + }, + { + "epoch": 2.96, + "learning_rate": 4.444403944312613e-07, + "loss": 1.1417, + "step": 6962 + }, + { + "epoch": 2.96, + "learning_rate": 4.440752612308732e-07, + "loss": 0.8591, + "step": 6963 + }, + { + "epoch": 2.97, + "learning_rate": 4.4371025201958256e-07, + "loss": 0.7682, + "step": 6964 + }, + { + "epoch": 2.97, + "learning_rate": 4.4334536684024793e-07, + "loss": 0.8456, + "step": 6965 + }, + { + "epoch": 2.97, + "learning_rate": 4.4298060573571713e-07, + "loss": 1.0005, + "step": 6966 + }, + { + "epoch": 2.97, + "learning_rate": 4.4261596874881965e-07, + "loss": 1.0765, + "step": 6967 + }, + { + "epoch": 2.97, + "learning_rate": 4.422514559223731e-07, + "loss": 0.9345, + "step": 6968 + }, + { + "epoch": 2.97, + "learning_rate": 4.418870672991784e-07, + "loss": 0.9, + "step": 6969 + }, + { + "epoch": 2.97, + "learning_rate": 4.4152280292202363e-07, + "loss": 0.7287, + "step": 6970 + }, + { + "epoch": 2.97, + "learning_rate": 4.4115866283368093e-07, + "loss": 1.0336, + "step": 6971 + }, + { + "epoch": 2.97, + "learning_rate": 4.407946470769093e-07, + "loss": 0.9769, + "step": 6972 + }, + { + "epoch": 2.97, + "learning_rate": 4.404307556944512e-07, + "loss": 1.0006, + "step": 6973 + }, + { + "epoch": 2.97, + "learning_rate": 4.400669887290362e-07, + "loss": 1.0737, + "step": 6974 + }, + { + "epoch": 2.97, + "learning_rate": 4.397033462233793e-07, + "loss": 0.9135, + "step": 6975 + }, + { + "epoch": 2.97, + "learning_rate": 4.3933982822017883e-07, + "loss": 0.9992, + "step": 6976 + }, + { + "epoch": 2.97, + "learning_rate": 4.389764347621207e-07, + "loss": 0.5135, + "step": 6977 + }, + { + "epoch": 2.97, + "learning_rate": 4.386131658918759e-07, + "loss": 0.9621, + "step": 6978 + }, + { + "epoch": 2.97, + "learning_rate": 4.3825002165209913e-07, + "loss": 0.7173, + "step": 6979 + }, + { + "epoch": 2.97, + "learning_rate": 4.378870020854324e-07, + "loss": 0.8771, + "step": 6980 + }, + { + "epoch": 2.97, + "learning_rate": 4.3752410723450243e-07, + "loss": 1.1786, + "step": 6981 + }, + { + "epoch": 2.97, + "learning_rate": 4.3716133714192043e-07, + "loss": 0.887, + "step": 6982 + }, + { + "epoch": 2.97, + "learning_rate": 4.3679869185028466e-07, + "loss": 0.9901, + "step": 6983 + }, + { + "epoch": 2.97, + "learning_rate": 4.3643617140217674e-07, + "loss": 0.4793, + "step": 6984 + }, + { + "epoch": 2.97, + "learning_rate": 4.3607377584016546e-07, + "loss": 0.9207, + "step": 6985 + }, + { + "epoch": 2.97, + "learning_rate": 4.357115052068034e-07, + "loss": 0.9965, + "step": 6986 + }, + { + "epoch": 2.97, + "learning_rate": 4.353493595446301e-07, + "loss": 1.0216, + "step": 6987 + }, + { + "epoch": 2.98, + "learning_rate": 4.3498733889616804e-07, + "loss": 0.9301, + "step": 6988 + }, + { + "epoch": 2.98, + "learning_rate": 4.346254433039285e-07, + "loss": 0.8731, + "step": 6989 + }, + { + "epoch": 2.98, + "learning_rate": 4.3426367281040455e-07, + "loss": 0.8104, + "step": 6990 + }, + { + "epoch": 2.98, + "learning_rate": 4.339020274580771e-07, + "loss": 0.761, + "step": 6991 + }, + { + "epoch": 2.98, + "learning_rate": 4.3354050728941066e-07, + "loss": 0.6836, + "step": 6992 + }, + { + "epoch": 2.98, + "learning_rate": 4.331791123468563e-07, + "loss": 1.2374, + "step": 6993 + }, + { + "epoch": 2.98, + "learning_rate": 4.328178426728492e-07, + "loss": 1.6467, + "step": 6994 + }, + { + "epoch": 2.98, + "learning_rate": 4.3245669830981065e-07, + "loss": 0.8184, + "step": 6995 + }, + { + "epoch": 2.98, + "learning_rate": 4.320956793001475e-07, + "loss": 1.1349, + "step": 6996 + }, + { + "epoch": 2.98, + "learning_rate": 4.317347856862514e-07, + "loss": 0.7786, + "step": 6997 + }, + { + "epoch": 2.98, + "learning_rate": 4.313740175104987e-07, + "loss": 0.4402, + "step": 6998 + }, + { + "epoch": 2.98, + "learning_rate": 4.310133748152525e-07, + "loss": 0.774, + "step": 6999 + }, + { + "epoch": 2.98, + "learning_rate": 4.306528576428592e-07, + "loss": 1.0482, + "step": 7000 + }, + { + "epoch": 2.98, + "learning_rate": 4.302924660356527e-07, + "loss": 0.903, + "step": 7001 + }, + { + "epoch": 2.98, + "learning_rate": 4.299322000359499e-07, + "loss": 0.8251, + "step": 7002 + }, + { + "epoch": 2.98, + "learning_rate": 4.295720596860545e-07, + "loss": 0.7062, + "step": 7003 + }, + { + "epoch": 2.98, + "learning_rate": 4.292120450282552e-07, + "loss": 0.8488, + "step": 7004 + }, + { + "epoch": 2.98, + "learning_rate": 4.2885215610482606e-07, + "loss": 1.0314, + "step": 7005 + }, + { + "epoch": 2.98, + "learning_rate": 4.284923929580253e-07, + "loss": 0.9207, + "step": 7006 + }, + { + "epoch": 2.98, + "learning_rate": 4.281327556300978e-07, + "loss": 1.3392, + "step": 7007 + }, + { + "epoch": 2.98, + "learning_rate": 4.277732441632722e-07, + "loss": 0.8139, + "step": 7008 + }, + { + "epoch": 2.98, + "learning_rate": 4.274138585997642e-07, + "loss": 0.9496, + "step": 7009 + }, + { + "epoch": 2.98, + "learning_rate": 4.270545989817725e-07, + "loss": 1.1424, + "step": 7010 + }, + { + "epoch": 2.99, + "learning_rate": 4.2669546535148277e-07, + "loss": 0.7149, + "step": 7011 + }, + { + "epoch": 2.99, + "learning_rate": 4.2633645775106597e-07, + "loss": 1.0945, + "step": 7012 + }, + { + "epoch": 2.99, + "learning_rate": 4.2597757622267623e-07, + "loss": 0.7971, + "step": 7013 + }, + { + "epoch": 2.99, + "learning_rate": 4.2561882080845566e-07, + "loss": 1.0284, + "step": 7014 + }, + { + "epoch": 2.99, + "learning_rate": 4.252601915505288e-07, + "loss": 1.1977, + "step": 7015 + }, + { + "epoch": 2.99, + "learning_rate": 4.249016884910079e-07, + "loss": 0.9251, + "step": 7016 + }, + { + "epoch": 2.99, + "learning_rate": 4.245433116719876e-07, + "loss": 1.31, + "step": 7017 + }, + { + "epoch": 2.99, + "learning_rate": 4.2418506113555144e-07, + "loss": 0.9515, + "step": 7018 + }, + { + "epoch": 2.99, + "learning_rate": 4.2382693692376435e-07, + "loss": 0.9706, + "step": 7019 + }, + { + "epoch": 2.99, + "learning_rate": 4.2346893907867934e-07, + "loss": 0.8645, + "step": 7020 + }, + { + "epoch": 2.99, + "learning_rate": 4.231110676423321e-07, + "loss": 0.8859, + "step": 7021 + }, + { + "epoch": 2.99, + "learning_rate": 4.227533226567458e-07, + "loss": 0.6999, + "step": 7022 + }, + { + "epoch": 2.99, + "learning_rate": 4.2239570416392677e-07, + "loss": 1.2721, + "step": 7023 + }, + { + "epoch": 2.99, + "learning_rate": 4.2203821220586835e-07, + "loss": 0.8732, + "step": 7024 + }, + { + "epoch": 2.99, + "learning_rate": 4.216808468245464e-07, + "loss": 0.8686, + "step": 7025 + }, + { + "epoch": 2.99, + "learning_rate": 4.2132360806192576e-07, + "loss": 1.135, + "step": 7026 + }, + { + "epoch": 2.99, + "learning_rate": 4.2096649595995264e-07, + "loss": 0.7927, + "step": 7027 + }, + { + "epoch": 2.99, + "learning_rate": 4.2060951056056093e-07, + "loss": 0.9046, + "step": 7028 + }, + { + "epoch": 2.99, + "learning_rate": 4.2025265190566775e-07, + "loss": 0.9919, + "step": 7029 + }, + { + "epoch": 2.99, + "learning_rate": 4.198959200371773e-07, + "loss": 1.087, + "step": 7030 + }, + { + "epoch": 2.99, + "learning_rate": 4.1953931499697674e-07, + "loss": 0.7309, + "step": 7031 + }, + { + "epoch": 2.99, + "learning_rate": 4.1918283682694004e-07, + "loss": 0.9941, + "step": 7032 + }, + { + "epoch": 2.99, + "learning_rate": 4.1882648556892557e-07, + "loss": 0.8628, + "step": 7033 + }, + { + "epoch": 3.0, + "learning_rate": 4.184702612647773e-07, + "loss": 1.0564, + "step": 7034 + }, + { + "epoch": 3.0, + "learning_rate": 4.1811416395632343e-07, + "loss": 0.9334, + "step": 7035 + }, + { + "epoch": 3.0, + "learning_rate": 4.17758193685378e-07, + "loss": 0.9389, + "step": 7036 + }, + { + "epoch": 3.0, + "learning_rate": 4.174023504937395e-07, + "loss": 1.239, + "step": 7037 + }, + { + "epoch": 3.0, + "learning_rate": 4.1704663442319244e-07, + "loss": 1.1324, + "step": 7038 + }, + { + "epoch": 3.0, + "learning_rate": 4.1669104551550503e-07, + "loss": 0.9081, + "step": 7039 + }, + { + "epoch": 3.0, + "learning_rate": 4.163355838124316e-07, + "loss": 1.1504, + "step": 7040 + }, + { + "epoch": 3.0, + "learning_rate": 4.159802493557121e-07, + "loss": 0.8452, + "step": 7041 + }, + { + "epoch": 3.0, + "learning_rate": 4.156250421870694e-07, + "loss": 0.8259, + "step": 7042 + }, + { + "epoch": 3.0, + "learning_rate": 4.152699623482139e-07, + "loss": 1.2047, + "step": 7043 + }, + { + "epoch": 3.0, + "learning_rate": 4.1491500988083884e-07, + "loss": 0.8886, + "step": 7044 + }, + { + "epoch": 3.0, + "learning_rate": 4.1456018482662454e-07, + "loss": 0.9526, + "step": 7045 + }, + { + "epoch": 3.0, + "learning_rate": 4.1420548722723463e-07, + "loss": 1.4035, + "step": 7046 + }, + { + "epoch": 3.0, + "learning_rate": 4.1385091712431856e-07, + "loss": 0.9971, + "step": 7047 + }, + { + "epoch": 3.0, + "learning_rate": 4.1349647455951107e-07, + "loss": 0.8782, + "step": 7048 + }, + { + "epoch": 3.0, + "learning_rate": 4.13142159574432e-07, + "loss": 0.8282, + "step": 7049 + }, + { + "epoch": 3.0, + "learning_rate": 4.127879722106848e-07, + "loss": 0.7883, + "step": 7050 + }, + { + "epoch": 3.0, + "learning_rate": 4.1243391250986e-07, + "loss": 0.7581, + "step": 7051 + }, + { + "epoch": 3.0, + "learning_rate": 4.1207998051353135e-07, + "loss": 1.1007, + "step": 7052 + }, + { + "epoch": 3.0, + "learning_rate": 4.1172617626325895e-07, + "loss": 0.9232, + "step": 7053 + }, + { + "epoch": 3.0, + "learning_rate": 4.1137249980058634e-07, + "loss": 0.5891, + "step": 7054 + }, + { + "epoch": 3.0, + "learning_rate": 4.1101895116704383e-07, + "loss": 0.9319, + "step": 7055 + }, + { + "epoch": 3.0, + "learning_rate": 4.106655304041458e-07, + "loss": 1.1118, + "step": 7056 + }, + { + "epoch": 3.01, + "learning_rate": 4.103122375533919e-07, + "loss": 0.817, + "step": 7057 + }, + { + "epoch": 3.01, + "learning_rate": 4.0995907265626606e-07, + "loss": 1.2434, + "step": 7058 + }, + { + "epoch": 3.01, + "learning_rate": 4.096060357542384e-07, + "loss": 0.7479, + "step": 7059 + }, + { + "epoch": 3.01, + "learning_rate": 4.092531268887625e-07, + "loss": 0.8913, + "step": 7060 + }, + { + "epoch": 3.01, + "learning_rate": 4.0890034610127856e-07, + "loss": 0.7498, + "step": 7061 + }, + { + "epoch": 3.01, + "learning_rate": 4.085476934332096e-07, + "loss": 1.1044, + "step": 7062 + }, + { + "epoch": 3.01, + "learning_rate": 4.0819516892596653e-07, + "loss": 1.0082, + "step": 7063 + }, + { + "epoch": 3.01, + "learning_rate": 4.078427726209425e-07, + "loss": 0.5687, + "step": 7064 + }, + { + "epoch": 3.01, + "learning_rate": 4.0749050455951755e-07, + "loss": 1.4371, + "step": 7065 + }, + { + "epoch": 3.01, + "learning_rate": 4.071383647830547e-07, + "loss": 0.6716, + "step": 7066 + }, + { + "epoch": 3.01, + "learning_rate": 4.0678635333290413e-07, + "loss": 0.97, + "step": 7067 + }, + { + "epoch": 3.01, + "learning_rate": 4.0643447025039875e-07, + "loss": 0.5756, + "step": 7068 + }, + { + "epoch": 3.01, + "learning_rate": 4.060827155768585e-07, + "loss": 0.8065, + "step": 7069 + }, + { + "epoch": 3.01, + "learning_rate": 4.0573108935358633e-07, + "loss": 0.8872, + "step": 7070 + }, + { + "epoch": 3.01, + "learning_rate": 4.0537959162187136e-07, + "loss": 0.8898, + "step": 7071 + }, + { + "epoch": 3.01, + "learning_rate": 4.0502822242298764e-07, + "loss": 1.2115, + "step": 7072 + }, + { + "epoch": 3.01, + "learning_rate": 4.0467698179819314e-07, + "loss": 1.0875, + "step": 7073 + }, + { + "epoch": 3.01, + "learning_rate": 4.04325869788732e-07, + "loss": 1.0968, + "step": 7074 + }, + { + "epoch": 3.01, + "learning_rate": 4.0397488643583156e-07, + "loss": 1.2735, + "step": 7075 + }, + { + "epoch": 3.01, + "learning_rate": 4.0362403178070595e-07, + "loss": 0.7674, + "step": 7076 + }, + { + "epoch": 3.01, + "learning_rate": 4.03273305864553e-07, + "loss": 0.888, + "step": 7077 + }, + { + "epoch": 3.01, + "learning_rate": 4.029227087285562e-07, + "loss": 1.2581, + "step": 7078 + }, + { + "epoch": 3.01, + "learning_rate": 4.025722404138827e-07, + "loss": 0.6221, + "step": 7079 + }, + { + "epoch": 3.02, + "learning_rate": 4.022219009616862e-07, + "loss": 1.1298, + "step": 7080 + }, + { + "epoch": 3.02, + "learning_rate": 4.018716904131035e-07, + "loss": 0.8424, + "step": 7081 + }, + { + "epoch": 3.02, + "learning_rate": 4.015216088092577e-07, + "loss": 0.5938, + "step": 7082 + }, + { + "epoch": 3.02, + "learning_rate": 4.011716561912557e-07, + "loss": 0.4395, + "step": 7083 + }, + { + "epoch": 3.02, + "learning_rate": 4.008218326001899e-07, + "loss": 1.2372, + "step": 7084 + }, + { + "epoch": 3.02, + "learning_rate": 4.004721380771375e-07, + "loss": 0.7909, + "step": 7085 + }, + { + "epoch": 3.02, + "learning_rate": 4.0012257266316086e-07, + "loss": 1.1099, + "step": 7086 + }, + { + "epoch": 3.02, + "learning_rate": 3.9977313639930603e-07, + "loss": 1.0076, + "step": 7087 + }, + { + "epoch": 3.02, + "learning_rate": 3.994238293266051e-07, + "loss": 1.0125, + "step": 7088 + }, + { + "epoch": 3.02, + "learning_rate": 3.9907465148607396e-07, + "loss": 1.1196, + "step": 7089 + }, + { + "epoch": 3.02, + "learning_rate": 3.987256029187147e-07, + "loss": 0.7196, + "step": 7090 + }, + { + "epoch": 3.02, + "learning_rate": 3.9837668366551245e-07, + "loss": 0.5466, + "step": 7091 + }, + { + "epoch": 3.02, + "learning_rate": 3.980278937674385e-07, + "loss": 1.4137, + "step": 7092 + }, + { + "epoch": 3.02, + "learning_rate": 3.9767923326544855e-07, + "loss": 1.0832, + "step": 7093 + }, + { + "epoch": 3.02, + "learning_rate": 3.9733070220048383e-07, + "loss": 0.8553, + "step": 7094 + }, + { + "epoch": 3.0, + "learning_rate": 3.9698230061346835e-07, + "loss": 0.9838, + "step": 7095 + }, + { + "epoch": 3.0, + "learning_rate": 3.966340285453135e-07, + "loss": 1.1555, + "step": 7096 + }, + { + "epoch": 3.0, + "learning_rate": 3.962858860369131e-07, + "loss": 1.0464, + "step": 7097 + }, + { + "epoch": 3.0, + "learning_rate": 3.959378731291477e-07, + "loss": 1.006, + "step": 7098 + }, + { + "epoch": 3.0, + "learning_rate": 3.9558998986288085e-07, + "loss": 0.9583, + "step": 7099 + }, + { + "epoch": 3.0, + "learning_rate": 3.952422362789624e-07, + "loss": 0.8246, + "step": 7100 + }, + { + "epoch": 3.0, + "learning_rate": 3.9489461241822676e-07, + "loss": 0.7815, + "step": 7101 + }, + { + "epoch": 3.0, + "learning_rate": 3.945471183214917e-07, + "loss": 0.7236, + "step": 7102 + }, + { + "epoch": 3.0, + "learning_rate": 3.9419975402956153e-07, + "loss": 0.9182, + "step": 7103 + }, + { + "epoch": 3.0, + "learning_rate": 3.9385251958322467e-07, + "loss": 0.5944, + "step": 7104 + }, + { + "epoch": 3.0, + "learning_rate": 3.935054150232534e-07, + "loss": 0.9532, + "step": 7105 + }, + { + "epoch": 3.01, + "learning_rate": 3.9315844039040645e-07, + "loss": 1.1119, + "step": 7106 + }, + { + "epoch": 3.01, + "learning_rate": 3.9281159572542543e-07, + "loss": 0.7649, + "step": 7107 + }, + { + "epoch": 3.01, + "learning_rate": 3.9246488106903825e-07, + "loss": 1.0248, + "step": 7108 + }, + { + "epoch": 3.01, + "learning_rate": 3.921182964619571e-07, + "loss": 0.8789, + "step": 7109 + }, + { + "epoch": 3.01, + "learning_rate": 3.917718419448781e-07, + "loss": 1.2343, + "step": 7110 + }, + { + "epoch": 3.01, + "learning_rate": 3.914255175584836e-07, + "loss": 1.0363, + "step": 7111 + }, + { + "epoch": 3.01, + "learning_rate": 3.910793233434387e-07, + "loss": 0.9098, + "step": 7112 + }, + { + "epoch": 3.01, + "learning_rate": 3.907332593403954e-07, + "loss": 1.1203, + "step": 7113 + }, + { + "epoch": 3.01, + "learning_rate": 3.9038732558998796e-07, + "loss": 0.7445, + "step": 7114 + }, + { + "epoch": 3.01, + "learning_rate": 3.900415221328384e-07, + "loss": 0.9516, + "step": 7115 + }, + { + "epoch": 3.01, + "learning_rate": 3.8969584900955054e-07, + "loss": 1.0394, + "step": 7116 + }, + { + "epoch": 3.01, + "learning_rate": 3.8935030626071486e-07, + "loss": 1.0695, + "step": 7117 + }, + { + "epoch": 3.01, + "learning_rate": 3.8900489392690505e-07, + "loss": 0.9421, + "step": 7118 + }, + { + "epoch": 3.01, + "learning_rate": 3.88659612048681e-07, + "loss": 0.8724, + "step": 7119 + }, + { + "epoch": 3.01, + "learning_rate": 3.8831446066658554e-07, + "loss": 0.8568, + "step": 7120 + }, + { + "epoch": 3.01, + "learning_rate": 3.8796943982114823e-07, + "loss": 0.8138, + "step": 7121 + }, + { + "epoch": 3.01, + "learning_rate": 3.8762454955288086e-07, + "loss": 0.9169, + "step": 7122 + }, + { + "epoch": 3.01, + "learning_rate": 3.872797899022828e-07, + "loss": 0.7437, + "step": 7123 + }, + { + "epoch": 3.01, + "learning_rate": 3.869351609098352e-07, + "loss": 0.8132, + "step": 7124 + }, + { + "epoch": 3.01, + "learning_rate": 3.8659066261600623e-07, + "loss": 0.7215, + "step": 7125 + }, + { + "epoch": 3.01, + "learning_rate": 3.862462950612468e-07, + "loss": 0.8908, + "step": 7126 + }, + { + "epoch": 3.01, + "learning_rate": 3.8590205828599415e-07, + "loss": 0.8629, + "step": 7127 + }, + { + "epoch": 3.01, + "learning_rate": 3.855579523306683e-07, + "loss": 0.8665, + "step": 7128 + }, + { + "epoch": 3.02, + "learning_rate": 3.8521397723567577e-07, + "loss": 1.0349, + "step": 7129 + }, + { + "epoch": 3.02, + "learning_rate": 3.8487013304140645e-07, + "loss": 0.9945, + "step": 7130 + }, + { + "epoch": 3.02, + "learning_rate": 3.845264197882361e-07, + "loss": 1.1145, + "step": 7131 + }, + { + "epoch": 3.02, + "learning_rate": 3.8418283751652345e-07, + "loss": 0.8219, + "step": 7132 + }, + { + "epoch": 3.02, + "learning_rate": 3.8383938626661333e-07, + "loss": 0.586, + "step": 7133 + }, + { + "epoch": 3.02, + "learning_rate": 3.8349606607883376e-07, + "loss": 0.9367, + "step": 7134 + }, + { + "epoch": 3.02, + "learning_rate": 3.8315287699349923e-07, + "loss": 0.8355, + "step": 7135 + }, + { + "epoch": 3.02, + "learning_rate": 3.8280981905090684e-07, + "loss": 0.8473, + "step": 7136 + }, + { + "epoch": 3.02, + "learning_rate": 3.824668922913396e-07, + "loss": 1.1131, + "step": 7137 + }, + { + "epoch": 3.02, + "learning_rate": 3.821240967550652e-07, + "loss": 1.2671, + "step": 7138 + }, + { + "epoch": 3.02, + "learning_rate": 3.8178143248233473e-07, + "loss": 1.0078, + "step": 7139 + }, + { + "epoch": 3.02, + "learning_rate": 3.814388995133854e-07, + "loss": 1.0689, + "step": 7140 + }, + { + "epoch": 3.02, + "learning_rate": 3.8109649788843723e-07, + "loss": 0.7297, + "step": 7141 + }, + { + "epoch": 3.02, + "learning_rate": 3.807542276476968e-07, + "loss": 0.5562, + "step": 7142 + }, + { + "epoch": 3.02, + "learning_rate": 3.8041208883135353e-07, + "loss": 0.8843, + "step": 7143 + }, + { + "epoch": 3.02, + "learning_rate": 3.800700814795822e-07, + "loss": 0.7336, + "step": 7144 + }, + { + "epoch": 3.02, + "learning_rate": 3.797282056325424e-07, + "loss": 0.9311, + "step": 7145 + }, + { + "epoch": 3.02, + "learning_rate": 3.7938646133037846e-07, + "loss": 1.0979, + "step": 7146 + }, + { + "epoch": 3.02, + "learning_rate": 3.790448486132176e-07, + "loss": 0.9622, + "step": 7147 + }, + { + "epoch": 3.02, + "learning_rate": 3.787033675211739e-07, + "loss": 1.0827, + "step": 7148 + }, + { + "epoch": 3.02, + "learning_rate": 3.783620180943438e-07, + "loss": 1.0876, + "step": 7149 + }, + { + "epoch": 3.02, + "learning_rate": 3.780208003728103e-07, + "loss": 0.8863, + "step": 7150 + }, + { + "epoch": 3.02, + "learning_rate": 3.776797143966388e-07, + "loss": 0.8329, + "step": 7151 + }, + { + "epoch": 3.03, + "learning_rate": 3.773387602058818e-07, + "loss": 0.8935, + "step": 7152 + }, + { + "epoch": 3.03, + "learning_rate": 3.769979378405739e-07, + "loss": 0.8353, + "step": 7153 + }, + { + "epoch": 3.03, + "learning_rate": 3.7665724734073605e-07, + "loss": 0.9788, + "step": 7154 + }, + { + "epoch": 3.03, + "learning_rate": 3.763166887463719e-07, + "loss": 0.9135, + "step": 7155 + }, + { + "epoch": 3.03, + "learning_rate": 3.759762620974716e-07, + "loss": 0.9134, + "step": 7156 + }, + { + "epoch": 3.03, + "learning_rate": 3.756359674340079e-07, + "loss": 0.863, + "step": 7157 + }, + { + "epoch": 3.03, + "learning_rate": 3.7529580479594e-07, + "loss": 1.0555, + "step": 7158 + }, + { + "epoch": 3.03, + "learning_rate": 3.749557742232091e-07, + "loss": 1.1639, + "step": 7159 + }, + { + "epoch": 3.03, + "learning_rate": 3.7461587575574426e-07, + "loss": 0.7876, + "step": 7160 + }, + { + "epoch": 3.03, + "learning_rate": 3.7427610943345567e-07, + "loss": 1.0751, + "step": 7161 + }, + { + "epoch": 3.03, + "learning_rate": 3.7393647529624035e-07, + "loss": 0.9068, + "step": 7162 + }, + { + "epoch": 3.03, + "learning_rate": 3.735969733839782e-07, + "loss": 0.7223, + "step": 7163 + }, + { + "epoch": 3.03, + "learning_rate": 3.7325760373653494e-07, + "loss": 1.0147, + "step": 7164 + }, + { + "epoch": 3.03, + "learning_rate": 3.729183663937596e-07, + "loss": 1.0347, + "step": 7165 + }, + { + "epoch": 3.03, + "learning_rate": 3.725792613954863e-07, + "loss": 1.2146, + "step": 7166 + }, + { + "epoch": 3.03, + "learning_rate": 3.722402887815341e-07, + "loss": 1.032, + "step": 7167 + }, + { + "epoch": 3.03, + "learning_rate": 3.719014485917051e-07, + "loss": 0.648, + "step": 7168 + }, + { + "epoch": 3.03, + "learning_rate": 3.7156274086578743e-07, + "loss": 1.0672, + "step": 7169 + }, + { + "epoch": 3.03, + "learning_rate": 3.712241656435523e-07, + "loss": 0.815, + "step": 7170 + }, + { + "epoch": 3.03, + "learning_rate": 3.7088572296475676e-07, + "loss": 1.1196, + "step": 7171 + }, + { + "epoch": 3.03, + "learning_rate": 3.705474128691405e-07, + "loss": 1.2071, + "step": 7172 + }, + { + "epoch": 3.03, + "learning_rate": 3.7020923539642916e-07, + "loss": 0.9434, + "step": 7173 + }, + { + "epoch": 3.03, + "learning_rate": 3.698711905863324e-07, + "loss": 0.8667, + "step": 7174 + }, + { + "epoch": 3.03, + "learning_rate": 3.6953327847854464e-07, + "loss": 1.1001, + "step": 7175 + }, + { + "epoch": 3.04, + "learning_rate": 3.691954991127434e-07, + "loss": 0.8655, + "step": 7176 + }, + { + "epoch": 3.04, + "learning_rate": 3.6885785252859237e-07, + "loss": 0.8112, + "step": 7177 + }, + { + "epoch": 3.04, + "learning_rate": 3.685203387657378e-07, + "loss": 0.8756, + "step": 7178 + }, + { + "epoch": 3.04, + "learning_rate": 3.681829578638125e-07, + "loss": 0.6979, + "step": 7179 + }, + { + "epoch": 3.04, + "learning_rate": 3.6784570986243127e-07, + "loss": 1.0362, + "step": 7180 + }, + { + "epoch": 3.04, + "learning_rate": 3.6750859480119525e-07, + "loss": 0.9641, + "step": 7181 + }, + { + "epoch": 3.04, + "learning_rate": 3.671716127196891e-07, + "loss": 1.2524, + "step": 7182 + }, + { + "epoch": 3.04, + "learning_rate": 3.6683476365748257e-07, + "loss": 0.9888, + "step": 7183 + }, + { + "epoch": 3.04, + "learning_rate": 3.664980476541283e-07, + "loss": 1.1268, + "step": 7184 + }, + { + "epoch": 3.04, + "learning_rate": 3.661614647491652e-07, + "loss": 1.0001, + "step": 7185 + }, + { + "epoch": 3.04, + "learning_rate": 3.658250149821146e-07, + "loss": 1.0148, + "step": 7186 + }, + { + "epoch": 3.04, + "learning_rate": 3.654886983924842e-07, + "loss": 0.8452, + "step": 7187 + }, + { + "epoch": 3.04, + "learning_rate": 3.6515251501976406e-07, + "loss": 0.8587, + "step": 7188 + }, + { + "epoch": 3.04, + "learning_rate": 3.648164649034303e-07, + "loss": 0.7215, + "step": 7189 + }, + { + "epoch": 3.04, + "learning_rate": 3.644805480829424e-07, + "loss": 1.2756, + "step": 7190 + }, + { + "epoch": 3.04, + "learning_rate": 3.6414476459774496e-07, + "loss": 1.2135, + "step": 7191 + }, + { + "epoch": 3.04, + "learning_rate": 3.6380911448726586e-07, + "loss": 0.9795, + "step": 7192 + }, + { + "epoch": 3.04, + "learning_rate": 3.6347359779091843e-07, + "loss": 1.0023, + "step": 7193 + }, + { + "epoch": 3.04, + "learning_rate": 3.6313821454809907e-07, + "loss": 0.9191, + "step": 7194 + }, + { + "epoch": 3.04, + "learning_rate": 3.628029647981901e-07, + "loss": 1.0902, + "step": 7195 + }, + { + "epoch": 3.04, + "learning_rate": 3.624678485805566e-07, + "loss": 1.065, + "step": 7196 + }, + { + "epoch": 3.04, + "learning_rate": 3.621328659345488e-07, + "loss": 0.8873, + "step": 7197 + }, + { + "epoch": 3.04, + "learning_rate": 3.617980168995018e-07, + "loss": 0.9202, + "step": 7198 + }, + { + "epoch": 3.05, + "learning_rate": 3.614633015147335e-07, + "loss": 0.7443, + "step": 7199 + }, + { + "epoch": 3.05, + "learning_rate": 3.611287198195473e-07, + "loss": 0.71, + "step": 7200 + }, + { + "epoch": 3.05, + "learning_rate": 3.607942718532308e-07, + "loss": 1.0092, + "step": 7201 + }, + { + "epoch": 3.05, + "learning_rate": 3.60459957655055e-07, + "loss": 1.004, + "step": 7202 + }, + { + "epoch": 3.05, + "learning_rate": 3.6012577726427625e-07, + "loss": 0.7442, + "step": 7203 + }, + { + "epoch": 3.05, + "learning_rate": 3.597917307201352e-07, + "loss": 0.9006, + "step": 7204 + }, + { + "epoch": 3.05, + "learning_rate": 3.5945781806185547e-07, + "loss": 0.9727, + "step": 7205 + }, + { + "epoch": 3.05, + "learning_rate": 3.591240393286466e-07, + "loss": 0.7197, + "step": 7206 + }, + { + "epoch": 3.05, + "learning_rate": 3.58790394559701e-07, + "loss": 1.0828, + "step": 7207 + }, + { + "epoch": 3.05, + "learning_rate": 3.5845688379419685e-07, + "loss": 0.727, + "step": 7208 + }, + { + "epoch": 3.05, + "learning_rate": 3.581235070712947e-07, + "loss": 0.8528, + "step": 7209 + }, + { + "epoch": 3.05, + "learning_rate": 3.577902644301413e-07, + "loss": 0.7785, + "step": 7210 + }, + { + "epoch": 3.05, + "learning_rate": 3.574571559098656e-07, + "loss": 0.9216, + "step": 7211 + }, + { + "epoch": 3.05, + "learning_rate": 3.571241815495837e-07, + "loss": 0.7535, + "step": 7212 + }, + { + "epoch": 3.05, + "learning_rate": 3.567913413883928e-07, + "loss": 0.7824, + "step": 7213 + }, + { + "epoch": 3.05, + "learning_rate": 3.5645863546537666e-07, + "loss": 0.8234, + "step": 7214 + }, + { + "epoch": 3.05, + "learning_rate": 3.561260638196015e-07, + "loss": 1.1688, + "step": 7215 + }, + { + "epoch": 3.05, + "learning_rate": 3.557936264901194e-07, + "loss": 1.2359, + "step": 7216 + }, + { + "epoch": 3.05, + "learning_rate": 3.554613235159652e-07, + "loss": 0.9709, + "step": 7217 + }, + { + "epoch": 3.05, + "learning_rate": 3.5512915493615916e-07, + "loss": 0.7463, + "step": 7218 + }, + { + "epoch": 3.05, + "learning_rate": 3.5479712078970524e-07, + "loss": 0.9461, + "step": 7219 + }, + { + "epoch": 3.05, + "learning_rate": 3.544652211155919e-07, + "loss": 0.9293, + "step": 7220 + }, + { + "epoch": 3.05, + "learning_rate": 3.541334559527908e-07, + "loss": 0.839, + "step": 7221 + }, + { + "epoch": 3.06, + "learning_rate": 3.538018253402596e-07, + "loss": 1.1413, + "step": 7222 + }, + { + "epoch": 3.06, + "learning_rate": 3.534703293169379e-07, + "loss": 1.096, + "step": 7223 + }, + { + "epoch": 3.06, + "learning_rate": 3.53138967921752e-07, + "loss": 1.1495, + "step": 7224 + }, + { + "epoch": 3.06, + "learning_rate": 3.528077411936099e-07, + "loss": 0.9751, + "step": 7225 + }, + { + "epoch": 3.06, + "learning_rate": 3.524766491714056e-07, + "loss": 0.8088, + "step": 7226 + }, + { + "epoch": 3.06, + "learning_rate": 3.521456918940171e-07, + "loss": 0.7884, + "step": 7227 + }, + { + "epoch": 3.06, + "learning_rate": 3.518148694003053e-07, + "loss": 0.9742, + "step": 7228 + }, + { + "epoch": 3.06, + "learning_rate": 3.514841817291164e-07, + "loss": 0.7222, + "step": 7229 + }, + { + "epoch": 3.06, + "learning_rate": 3.511536289192812e-07, + "loss": 0.9019, + "step": 7230 + }, + { + "epoch": 3.06, + "learning_rate": 3.50823211009613e-07, + "loss": 0.8985, + "step": 7231 + }, + { + "epoch": 3.06, + "learning_rate": 3.5049292803891115e-07, + "loss": 0.9393, + "step": 7232 + }, + { + "epoch": 3.06, + "learning_rate": 3.501627800459571e-07, + "loss": 1.2988, + "step": 7233 + }, + { + "epoch": 3.06, + "learning_rate": 3.4983276706951836e-07, + "loss": 0.9556, + "step": 7234 + }, + { + "epoch": 3.06, + "learning_rate": 3.4950288914834607e-07, + "loss": 1.1742, + "step": 7235 + }, + { + "epoch": 3.06, + "learning_rate": 3.4917314632117427e-07, + "loss": 1.1775, + "step": 7236 + }, + { + "epoch": 3.06, + "learning_rate": 3.4884353862672313e-07, + "loss": 1.0488, + "step": 7237 + }, + { + "epoch": 3.06, + "learning_rate": 3.485140661036952e-07, + "loss": 1.2657, + "step": 7238 + }, + { + "epoch": 3.06, + "learning_rate": 3.481847287907786e-07, + "loss": 0.8859, + "step": 7239 + }, + { + "epoch": 3.06, + "learning_rate": 3.47855526726644e-07, + "loss": 1.0517, + "step": 7240 + }, + { + "epoch": 3.06, + "learning_rate": 3.4752645994994746e-07, + "loss": 1.1472, + "step": 7241 + }, + { + "epoch": 3.06, + "learning_rate": 3.471975284993288e-07, + "loss": 0.6131, + "step": 7242 + }, + { + "epoch": 3.06, + "learning_rate": 3.4686873241341236e-07, + "loss": 1.0728, + "step": 7243 + }, + { + "epoch": 3.06, + "learning_rate": 3.4654007173080523e-07, + "loss": 0.9697, + "step": 7244 + }, + { + "epoch": 3.07, + "learning_rate": 3.462115464901004e-07, + "loss": 0.8248, + "step": 7245 + }, + { + "epoch": 3.07, + "learning_rate": 3.4588315672987324e-07, + "loss": 0.6841, + "step": 7246 + }, + { + "epoch": 3.07, + "learning_rate": 3.4555490248868477e-07, + "loss": 1.0568, + "step": 7247 + }, + { + "epoch": 3.07, + "learning_rate": 3.452267838050781e-07, + "loss": 1.3941, + "step": 7248 + }, + { + "epoch": 3.07, + "learning_rate": 3.4489880071758346e-07, + "loss": 0.7144, + "step": 7249 + }, + { + "epoch": 3.07, + "learning_rate": 3.44570953264712e-07, + "loss": 0.9946, + "step": 7250 + }, + { + "epoch": 3.07, + "learning_rate": 3.442432414849611e-07, + "loss": 1.1179, + "step": 7251 + }, + { + "epoch": 3.07, + "learning_rate": 3.4391566541681085e-07, + "loss": 1.0678, + "step": 7252 + }, + { + "epoch": 3.07, + "learning_rate": 3.435882250987266e-07, + "loss": 0.9199, + "step": 7253 + }, + { + "epoch": 3.07, + "learning_rate": 3.432609205691563e-07, + "loss": 0.8929, + "step": 7254 + }, + { + "epoch": 3.07, + "learning_rate": 3.4293375186653367e-07, + "loss": 0.7139, + "step": 7255 + }, + { + "epoch": 3.07, + "learning_rate": 3.4260671902927455e-07, + "loss": 0.9888, + "step": 7256 + }, + { + "epoch": 3.07, + "learning_rate": 3.422798220957813e-07, + "loss": 1.187, + "step": 7257 + }, + { + "epoch": 3.07, + "learning_rate": 3.419530611044376e-07, + "loss": 1.174, + "step": 7258 + }, + { + "epoch": 3.07, + "learning_rate": 3.4162643609361356e-07, + "loss": 1.1774, + "step": 7259 + }, + { + "epoch": 3.07, + "learning_rate": 3.4129994710166136e-07, + "loss": 1.0128, + "step": 7260 + }, + { + "epoch": 3.07, + "learning_rate": 3.4097359416691867e-07, + "loss": 1.069, + "step": 7261 + }, + { + "epoch": 3.07, + "learning_rate": 3.4064737732770597e-07, + "loss": 0.8847, + "step": 7262 + }, + { + "epoch": 3.07, + "learning_rate": 3.4032129662232883e-07, + "loss": 0.9272, + "step": 7263 + }, + { + "epoch": 3.07, + "learning_rate": 3.3999535208907674e-07, + "loss": 1.1425, + "step": 7264 + }, + { + "epoch": 3.07, + "learning_rate": 3.3966954376622193e-07, + "loss": 0.8544, + "step": 7265 + }, + { + "epoch": 3.07, + "learning_rate": 3.3934387169202267e-07, + "loss": 1.1999, + "step": 7266 + }, + { + "epoch": 3.07, + "learning_rate": 3.3901833590471904e-07, + "loss": 0.8837, + "step": 7267 + }, + { + "epoch": 3.08, + "learning_rate": 3.3869293644253706e-07, + "loss": 0.898, + "step": 7268 + }, + { + "epoch": 3.08, + "learning_rate": 3.3836767334368506e-07, + "loss": 0.8582, + "step": 7269 + }, + { + "epoch": 3.08, + "learning_rate": 3.380425466463565e-07, + "loss": 1.0364, + "step": 7270 + }, + { + "epoch": 3.08, + "learning_rate": 3.3771755638872874e-07, + "loss": 0.9657, + "step": 7271 + }, + { + "epoch": 3.08, + "learning_rate": 3.373927026089632e-07, + "loss": 1.0329, + "step": 7272 + }, + { + "epoch": 3.08, + "learning_rate": 3.37067985345204e-07, + "loss": 0.8765, + "step": 7273 + }, + { + "epoch": 3.08, + "learning_rate": 3.367434046355811e-07, + "loss": 0.8196, + "step": 7274 + }, + { + "epoch": 3.08, + "learning_rate": 3.3641896051820674e-07, + "loss": 1.2308, + "step": 7275 + }, + { + "epoch": 3.08, + "learning_rate": 3.3609465303117873e-07, + "loss": 0.6798, + "step": 7276 + }, + { + "epoch": 3.08, + "learning_rate": 3.35770482212577e-07, + "loss": 0.9585, + "step": 7277 + }, + { + "epoch": 3.08, + "learning_rate": 3.354464481004669e-07, + "loss": 0.6663, + "step": 7278 + }, + { + "epoch": 3.08, + "learning_rate": 3.351225507328974e-07, + "loss": 1.2012, + "step": 7279 + }, + { + "epoch": 3.08, + "learning_rate": 3.347987901479016e-07, + "loss": 1.1851, + "step": 7280 + }, + { + "epoch": 3.08, + "learning_rate": 3.344751663834953e-07, + "loss": 1.2644, + "step": 7281 + }, + { + "epoch": 3.08, + "learning_rate": 3.3415167947767996e-07, + "loss": 0.9897, + "step": 7282 + }, + { + "epoch": 3.08, + "learning_rate": 3.338283294684395e-07, + "loss": 0.855, + "step": 7283 + }, + { + "epoch": 3.08, + "learning_rate": 3.335051163937431e-07, + "loss": 1.3566, + "step": 7284 + }, + { + "epoch": 3.08, + "learning_rate": 3.3318204029154187e-07, + "loss": 1.2254, + "step": 7285 + }, + { + "epoch": 3.08, + "learning_rate": 3.3285910119977415e-07, + "loss": 0.8776, + "step": 7286 + }, + { + "epoch": 3.08, + "learning_rate": 3.325362991563584e-07, + "loss": 0.9406, + "step": 7287 + }, + { + "epoch": 3.08, + "learning_rate": 3.322136341992002e-07, + "loss": 1.2794, + "step": 7288 + }, + { + "epoch": 3.08, + "learning_rate": 3.3189110636618635e-07, + "loss": 1.0418, + "step": 7289 + }, + { + "epoch": 3.08, + "learning_rate": 3.3156871569518974e-07, + "loss": 1.0389, + "step": 7290 + }, + { + "epoch": 3.09, + "learning_rate": 3.3124646222406545e-07, + "loss": 0.9033, + "step": 7291 + }, + { + "epoch": 3.09, + "learning_rate": 3.3092434599065404e-07, + "loss": 0.7777, + "step": 7292 + }, + { + "epoch": 3.09, + "learning_rate": 3.306023670327782e-07, + "loss": 1.1271, + "step": 7293 + }, + { + "epoch": 3.09, + "learning_rate": 3.3028052538824604e-07, + "loss": 0.7942, + "step": 7294 + }, + { + "epoch": 3.09, + "learning_rate": 3.299588210948492e-07, + "loss": 0.766, + "step": 7295 + }, + { + "epoch": 3.09, + "learning_rate": 3.296372541903621e-07, + "loss": 0.9764, + "step": 7296 + }, + { + "epoch": 3.09, + "learning_rate": 3.2931582471254474e-07, + "loss": 0.8541, + "step": 7297 + }, + { + "epoch": 3.09, + "learning_rate": 3.2899453269913937e-07, + "loss": 0.8617, + "step": 7298 + }, + { + "epoch": 3.09, + "learning_rate": 3.2867337818787304e-07, + "loss": 0.8897, + "step": 7299 + }, + { + "epoch": 3.09, + "learning_rate": 3.2835236121645666e-07, + "loss": 0.7878, + "step": 7300 + }, + { + "epoch": 3.09, + "learning_rate": 3.28031481822585e-07, + "loss": 0.8284, + "step": 7301 + }, + { + "epoch": 3.09, + "learning_rate": 3.277107400439359e-07, + "loss": 0.9927, + "step": 7302 + }, + { + "epoch": 3.09, + "learning_rate": 3.2739013591817205e-07, + "loss": 1.078, + "step": 7303 + }, + { + "epoch": 3.09, + "learning_rate": 3.2706966948293885e-07, + "loss": 0.9296, + "step": 7304 + }, + { + "epoch": 3.09, + "learning_rate": 3.267493407758672e-07, + "loss": 1.0628, + "step": 7305 + }, + { + "epoch": 3.09, + "learning_rate": 3.2642914983456984e-07, + "loss": 1.0299, + "step": 7306 + }, + { + "epoch": 3.09, + "learning_rate": 3.2610909669664516e-07, + "loss": 1.0436, + "step": 7307 + }, + { + "epoch": 3.09, + "learning_rate": 3.2578918139967334e-07, + "loss": 0.7752, + "step": 7308 + }, + { + "epoch": 3.09, + "learning_rate": 3.254694039812211e-07, + "loss": 1.0819, + "step": 7309 + }, + { + "epoch": 3.09, + "learning_rate": 3.2514976447883626e-07, + "loss": 0.8634, + "step": 7310 + }, + { + "epoch": 3.09, + "learning_rate": 3.248302629300525e-07, + "loss": 0.5487, + "step": 7311 + }, + { + "epoch": 3.09, + "learning_rate": 3.2451089937238556e-07, + "loss": 0.977, + "step": 7312 + }, + { + "epoch": 3.09, + "learning_rate": 3.2419167384333663e-07, + "loss": 0.5685, + "step": 7313 + }, + { + "epoch": 3.09, + "learning_rate": 3.238725863803891e-07, + "loss": 0.8352, + "step": 7314 + }, + { + "epoch": 3.1, + "learning_rate": 3.2355363702101136e-07, + "loss": 0.9634, + "step": 7315 + }, + { + "epoch": 3.1, + "learning_rate": 3.2323482580265525e-07, + "loss": 0.978, + "step": 7316 + }, + { + "epoch": 3.1, + "learning_rate": 3.229161527627566e-07, + "loss": 6.0708, + "step": 7317 + }, + { + "epoch": 3.1, + "learning_rate": 3.2259761793873403e-07, + "loss": 1.1588, + "step": 7318 + }, + { + "epoch": 3.1, + "learning_rate": 3.222792213679913e-07, + "loss": 0.7984, + "step": 7319 + }, + { + "epoch": 3.1, + "learning_rate": 3.2196096308791467e-07, + "loss": 0.8839, + "step": 7320 + }, + { + "epoch": 3.1, + "learning_rate": 3.2164284313587536e-07, + "loss": 0.9659, + "step": 7321 + }, + { + "epoch": 3.1, + "learning_rate": 3.2132486154922694e-07, + "loss": 0.694, + "step": 7322 + }, + { + "epoch": 3.1, + "learning_rate": 3.21007018365308e-07, + "loss": 0.9098, + "step": 7323 + }, + { + "epoch": 3.1, + "learning_rate": 3.2068931362144075e-07, + "loss": 0.7856, + "step": 7324 + }, + { + "epoch": 3.1, + "learning_rate": 3.2037174735493024e-07, + "loss": 1.0832, + "step": 7325 + }, + { + "epoch": 3.1, + "learning_rate": 3.2005431960306597e-07, + "loss": 0.8401, + "step": 7326 + }, + { + "epoch": 3.1, + "learning_rate": 3.1973703040312146e-07, + "loss": 1.0849, + "step": 7327 + }, + { + "epoch": 3.1, + "learning_rate": 3.1941987979235276e-07, + "loss": 1.0232, + "step": 7328 + }, + { + "epoch": 3.1, + "learning_rate": 3.191028678080014e-07, + "loss": 0.9755, + "step": 7329 + }, + { + "epoch": 3.1, + "learning_rate": 3.1878599448729063e-07, + "loss": 0.9081, + "step": 7330 + }, + { + "epoch": 3.1, + "learning_rate": 3.184692598674288e-07, + "loss": 1.1505, + "step": 7331 + }, + { + "epoch": 3.1, + "learning_rate": 3.181526639856084e-07, + "loss": 0.7928, + "step": 7332 + }, + { + "epoch": 3.1, + "learning_rate": 3.1783620687900346e-07, + "loss": 0.7815, + "step": 7333 + }, + { + "epoch": 3.1, + "learning_rate": 3.175198885847744e-07, + "loss": 0.7952, + "step": 7334 + }, + { + "epoch": 3.1, + "learning_rate": 3.1720370914006295e-07, + "loss": 0.84, + "step": 7335 + }, + { + "epoch": 3.1, + "learning_rate": 3.1688766858199654e-07, + "loss": 0.7622, + "step": 7336 + }, + { + "epoch": 3.1, + "learning_rate": 3.165717669476841e-07, + "loss": 1.0231, + "step": 7337 + }, + { + "epoch": 3.11, + "learning_rate": 3.162560042742213e-07, + "loss": 0.7887, + "step": 7338 + }, + { + "epoch": 3.11, + "learning_rate": 3.1594038059868417e-07, + "loss": 1.0479, + "step": 7339 + }, + { + "epoch": 3.11, + "learning_rate": 3.156248959581353e-07, + "loss": 0.82, + "step": 7340 + }, + { + "epoch": 3.11, + "learning_rate": 3.153095503896182e-07, + "loss": 0.8513, + "step": 7341 + }, + { + "epoch": 3.11, + "learning_rate": 3.1499434393016264e-07, + "loss": 1.074, + "step": 7342 + }, + { + "epoch": 3.11, + "learning_rate": 3.1467927661678004e-07, + "loss": 0.8624, + "step": 7343 + }, + { + "epoch": 3.11, + "learning_rate": 3.143643484864672e-07, + "loss": 0.8758, + "step": 7344 + }, + { + "epoch": 3.11, + "learning_rate": 3.1404955957620213e-07, + "loss": 1.0432, + "step": 7345 + }, + { + "epoch": 3.11, + "learning_rate": 3.137349099229502e-07, + "loss": 0.7827, + "step": 7346 + }, + { + "epoch": 3.11, + "learning_rate": 3.1342039956365657e-07, + "loss": 0.986, + "step": 7347 + }, + { + "epoch": 3.11, + "learning_rate": 3.13106028535253e-07, + "loss": 0.9081, + "step": 7348 + }, + { + "epoch": 3.11, + "learning_rate": 3.1279179687465256e-07, + "loss": 0.829, + "step": 7349 + }, + { + "epoch": 3.11, + "learning_rate": 3.12477704618754e-07, + "loss": 0.987, + "step": 7350 + }, + { + "epoch": 3.11, + "learning_rate": 3.1216375180443795e-07, + "loss": 0.8925, + "step": 7351 + }, + { + "epoch": 3.11, + "learning_rate": 3.118499384685697e-07, + "loss": 1.0997, + "step": 7352 + }, + { + "epoch": 3.11, + "learning_rate": 3.115362646479982e-07, + "loss": 0.8787, + "step": 7353 + }, + { + "epoch": 3.11, + "learning_rate": 3.1122273037955595e-07, + "loss": 1.1614, + "step": 7354 + }, + { + "epoch": 3.11, + "learning_rate": 3.1090933570005806e-07, + "loss": 0.9957, + "step": 7355 + }, + { + "epoch": 3.11, + "learning_rate": 3.10596080646305e-07, + "loss": 0.7799, + "step": 7356 + }, + { + "epoch": 3.11, + "learning_rate": 3.10282965255079e-07, + "loss": 0.5159, + "step": 7357 + }, + { + "epoch": 3.11, + "learning_rate": 3.0996998956314745e-07, + "loss": 1.1068, + "step": 7358 + }, + { + "epoch": 3.11, + "learning_rate": 3.096571536072601e-07, + "loss": 0.9753, + "step": 7359 + }, + { + "epoch": 3.11, + "learning_rate": 3.093444574241511e-07, + "loss": 1.2716, + "step": 7360 + }, + { + "epoch": 3.12, + "learning_rate": 3.0903190105053845e-07, + "loss": 0.7074, + "step": 7361 + }, + { + "epoch": 3.12, + "learning_rate": 3.087194845231224e-07, + "loss": 0.9847, + "step": 7362 + }, + { + "epoch": 3.12, + "learning_rate": 3.084072078785885e-07, + "loss": 0.9282, + "step": 7363 + }, + { + "epoch": 3.12, + "learning_rate": 3.08095071153604e-07, + "loss": 0.7394, + "step": 7364 + }, + { + "epoch": 3.12, + "learning_rate": 3.077830743848217e-07, + "loss": 0.5314, + "step": 7365 + }, + { + "epoch": 3.12, + "learning_rate": 3.07471217608876e-07, + "loss": 0.995, + "step": 7366 + }, + { + "epoch": 3.12, + "learning_rate": 3.0715950086238647e-07, + "loss": 0.9944, + "step": 7367 + }, + { + "epoch": 3.12, + "learning_rate": 3.0684792418195524e-07, + "loss": 0.6678, + "step": 7368 + }, + { + "epoch": 3.12, + "learning_rate": 3.065364876041691e-07, + "loss": 0.7653, + "step": 7369 + }, + { + "epoch": 3.12, + "learning_rate": 3.062251911655966e-07, + "loss": 0.8536, + "step": 7370 + }, + { + "epoch": 3.12, + "learning_rate": 3.059140349027919e-07, + "loss": 0.5791, + "step": 7371 + }, + { + "epoch": 3.12, + "learning_rate": 3.056030188522908e-07, + "loss": 0.7742, + "step": 7372 + }, + { + "epoch": 3.12, + "learning_rate": 3.0529214305061424e-07, + "loss": 1.085, + "step": 7373 + }, + { + "epoch": 3.12, + "learning_rate": 3.0498140753426523e-07, + "loss": 0.9201, + "step": 7374 + }, + { + "epoch": 3.12, + "learning_rate": 3.046708123397314e-07, + "loss": 1.0111, + "step": 7375 + }, + { + "epoch": 3.12, + "learning_rate": 3.043603575034835e-07, + "loss": 0.7976, + "step": 7376 + }, + { + "epoch": 3.12, + "learning_rate": 3.0405004306197647e-07, + "loss": 0.7923, + "step": 7377 + }, + { + "epoch": 3.12, + "learning_rate": 3.0373986905164714e-07, + "loss": 0.9266, + "step": 7378 + }, + { + "epoch": 3.12, + "learning_rate": 3.0342983550891767e-07, + "loss": 0.7963, + "step": 7379 + }, + { + "epoch": 3.12, + "learning_rate": 3.0311994247019215e-07, + "loss": 0.8669, + "step": 7380 + }, + { + "epoch": 3.12, + "learning_rate": 3.0281018997185976e-07, + "loss": 0.8425, + "step": 7381 + }, + { + "epoch": 3.12, + "learning_rate": 3.0250057805029115e-07, + "loss": 0.8663, + "step": 7382 + }, + { + "epoch": 3.12, + "learning_rate": 3.021911067418431e-07, + "loss": 0.7914, + "step": 7383 + }, + { + "epoch": 3.13, + "learning_rate": 3.0188177608285357e-07, + "loss": 0.8502, + "step": 7384 + }, + { + "epoch": 3.13, + "learning_rate": 3.0157258610964516e-07, + "loss": 1.0957, + "step": 7385 + }, + { + "epoch": 3.13, + "learning_rate": 3.0126353685852343e-07, + "loss": 0.8717, + "step": 7386 + }, + { + "epoch": 3.13, + "learning_rate": 3.009546283657781e-07, + "loss": 0.8786, + "step": 7387 + }, + { + "epoch": 3.13, + "learning_rate": 3.0064586066768113e-07, + "loss": 1.1177, + "step": 7388 + }, + { + "epoch": 3.13, + "learning_rate": 3.0033723380048973e-07, + "loss": 0.8436, + "step": 7389 + }, + { + "epoch": 3.13, + "learning_rate": 3.000287478004424e-07, + "loss": 0.7981, + "step": 7390 + }, + { + "epoch": 3.13, + "learning_rate": 2.997204027037631e-07, + "loss": 1.1309, + "step": 7391 + }, + { + "epoch": 3.13, + "learning_rate": 2.9941219854665864e-07, + "loss": 0.8661, + "step": 7392 + }, + { + "epoch": 3.13, + "learning_rate": 2.991041353653182e-07, + "loss": 0.7818, + "step": 7393 + }, + { + "epoch": 3.13, + "learning_rate": 2.987962131959161e-07, + "loss": 1.0278, + "step": 7394 + }, + { + "epoch": 3.13, + "learning_rate": 2.984884320746085e-07, + "loss": 0.7167, + "step": 7395 + }, + { + "epoch": 3.13, + "learning_rate": 2.981807920375366e-07, + "loss": 0.9541, + "step": 7396 + }, + { + "epoch": 3.13, + "learning_rate": 2.9787329312082267e-07, + "loss": 1.053, + "step": 7397 + }, + { + "epoch": 3.13, + "learning_rate": 2.9756593536057595e-07, + "loss": 0.7128, + "step": 7398 + }, + { + "epoch": 3.13, + "learning_rate": 2.9725871879288574e-07, + "loss": 0.924, + "step": 7399 + }, + { + "epoch": 3.13, + "learning_rate": 2.9695164345382697e-07, + "loss": 0.803, + "step": 7400 + }, + { + "epoch": 3.13, + "learning_rate": 2.9664470937945617e-07, + "loss": 0.8193, + "step": 7401 + }, + { + "epoch": 3.13, + "learning_rate": 2.9633791660581525e-07, + "loss": 0.5434, + "step": 7402 + }, + { + "epoch": 3.13, + "learning_rate": 2.9603126516892756e-07, + "loss": 0.8321, + "step": 7403 + }, + { + "epoch": 3.13, + "learning_rate": 2.957247551048011e-07, + "loss": 0.9652, + "step": 7404 + }, + { + "epoch": 3.13, + "learning_rate": 2.954183864494274e-07, + "loss": 1.2945, + "step": 7405 + }, + { + "epoch": 3.13, + "learning_rate": 2.9511215923878097e-07, + "loss": 1.0169, + "step": 7406 + }, + { + "epoch": 3.14, + "learning_rate": 2.9480607350881907e-07, + "loss": 1.1074, + "step": 7407 + }, + { + "epoch": 3.14, + "learning_rate": 2.945001292954837e-07, + "loss": 1.102, + "step": 7408 + }, + { + "epoch": 3.14, + "learning_rate": 2.9419432663469887e-07, + "loss": 0.9127, + "step": 7409 + }, + { + "epoch": 3.14, + "learning_rate": 2.938886655623733e-07, + "loss": 1.0111, + "step": 7410 + }, + { + "epoch": 3.14, + "learning_rate": 2.935831461143978e-07, + "loss": 0.9784, + "step": 7411 + }, + { + "epoch": 3.14, + "learning_rate": 2.932777683266473e-07, + "loss": 1.0001, + "step": 7412 + }, + { + "epoch": 3.14, + "learning_rate": 2.9297253223498005e-07, + "loss": 1.0063, + "step": 7413 + }, + { + "epoch": 3.14, + "learning_rate": 2.926674378752382e-07, + "loss": 1.1471, + "step": 7414 + }, + { + "epoch": 3.14, + "learning_rate": 2.923624852832454e-07, + "loss": 1.3365, + "step": 7415 + }, + { + "epoch": 3.14, + "learning_rate": 2.92057674494811e-07, + "loss": 0.9989, + "step": 7416 + }, + { + "epoch": 3.14, + "learning_rate": 2.9175300554572564e-07, + "loss": 0.6455, + "step": 7417 + }, + { + "epoch": 3.14, + "learning_rate": 2.9144847847176513e-07, + "loss": 0.8849, + "step": 7418 + }, + { + "epoch": 3.14, + "learning_rate": 2.9114409330868705e-07, + "loss": 1.3811, + "step": 7419 + }, + { + "epoch": 3.14, + "learning_rate": 2.90839850092233e-07, + "loss": 0.8489, + "step": 7420 + }, + { + "epoch": 3.14, + "learning_rate": 2.9053574885812875e-07, + "loss": 1.1506, + "step": 7421 + }, + { + "epoch": 3.14, + "learning_rate": 2.902317896420816e-07, + "loss": 0.815, + "step": 7422 + }, + { + "epoch": 3.14, + "learning_rate": 2.899279724797837e-07, + "loss": 0.8662, + "step": 7423 + }, + { + "epoch": 3.14, + "learning_rate": 2.8962429740690954e-07, + "loss": 0.7802, + "step": 7424 + }, + { + "epoch": 3.14, + "learning_rate": 2.893207644591176e-07, + "loss": 0.9741, + "step": 7425 + }, + { + "epoch": 3.14, + "learning_rate": 2.890173736720497e-07, + "loss": 0.8853, + "step": 7426 + }, + { + "epoch": 3.14, + "learning_rate": 2.8871412508132996e-07, + "loss": 0.5437, + "step": 7427 + }, + { + "epoch": 3.14, + "learning_rate": 2.884110187225669e-07, + "loss": 1.0144, + "step": 7428 + }, + { + "epoch": 3.14, + "learning_rate": 2.8810805463135246e-07, + "loss": 0.8941, + "step": 7429 + }, + { + "epoch": 3.15, + "learning_rate": 2.8780523284326047e-07, + "loss": 0.8556, + "step": 7430 + }, + { + "epoch": 3.15, + "learning_rate": 2.8750255339384983e-07, + "loss": 0.6888, + "step": 7431 + }, + { + "epoch": 3.15, + "learning_rate": 2.872000163186611e-07, + "loss": 0.7589, + "step": 7432 + }, + { + "epoch": 3.15, + "learning_rate": 2.868976216532194e-07, + "loss": 1.2277, + "step": 7433 + }, + { + "epoch": 3.15, + "learning_rate": 2.865953694330317e-07, + "loss": 0.8952, + "step": 7434 + }, + { + "epoch": 3.15, + "learning_rate": 2.862932596935906e-07, + "loss": 0.9484, + "step": 7435 + }, + { + "epoch": 3.15, + "learning_rate": 2.859912924703693e-07, + "loss": 0.7182, + "step": 7436 + }, + { + "epoch": 3.15, + "learning_rate": 2.856894677988265e-07, + "loss": 0.718, + "step": 7437 + }, + { + "epoch": 3.15, + "learning_rate": 2.853877857144021e-07, + "loss": 1.1217, + "step": 7438 + }, + { + "epoch": 3.15, + "learning_rate": 2.850862462525212e-07, + "loss": 0.7071, + "step": 7439 + }, + { + "epoch": 3.15, + "learning_rate": 2.8478484944859034e-07, + "loss": 0.7888, + "step": 7440 + }, + { + "epoch": 3.15, + "learning_rate": 2.844835953380012e-07, + "loss": 0.9426, + "step": 7441 + }, + { + "epoch": 3.15, + "learning_rate": 2.8418248395612635e-07, + "loss": 1.0965, + "step": 7442 + }, + { + "epoch": 3.15, + "learning_rate": 2.838815153383247e-07, + "loss": 1.0606, + "step": 7443 + }, + { + "epoch": 3.15, + "learning_rate": 2.835806895199354e-07, + "loss": 1.0091, + "step": 7444 + }, + { + "epoch": 3.15, + "learning_rate": 2.832800065362832e-07, + "loss": 0.6676, + "step": 7445 + }, + { + "epoch": 3.15, + "learning_rate": 2.829794664226737e-07, + "loss": 0.9129, + "step": 7446 + }, + { + "epoch": 3.15, + "learning_rate": 2.826790692143981e-07, + "loss": 0.8108, + "step": 7447 + }, + { + "epoch": 3.15, + "learning_rate": 2.8237881494672873e-07, + "loss": 0.7962, + "step": 7448 + }, + { + "epoch": 3.15, + "learning_rate": 2.820787036549228e-07, + "loss": 1.1456, + "step": 7449 + }, + { + "epoch": 3.15, + "learning_rate": 2.8177873537422036e-07, + "loss": 1.0475, + "step": 7450 + }, + { + "epoch": 3.15, + "learning_rate": 2.8147891013984357e-07, + "loss": 1.2534, + "step": 7451 + }, + { + "epoch": 3.15, + "learning_rate": 2.811792279869989e-07, + "loss": 0.7828, + "step": 7452 + }, + { + "epoch": 3.15, + "learning_rate": 2.808796889508761e-07, + "loss": 0.8364, + "step": 7453 + }, + { + "epoch": 3.16, + "learning_rate": 2.805802930666471e-07, + "loss": 1.0615, + "step": 7454 + }, + { + "epoch": 3.16, + "learning_rate": 2.802810403694684e-07, + "loss": 0.913, + "step": 7455 + }, + { + "epoch": 3.16, + "learning_rate": 2.7998193089447797e-07, + "loss": 0.9898, + "step": 7456 + }, + { + "epoch": 3.16, + "learning_rate": 2.7968296467679863e-07, + "loss": 0.8838, + "step": 7457 + }, + { + "epoch": 3.16, + "learning_rate": 2.7938414175153564e-07, + "loss": 0.9753, + "step": 7458 + }, + { + "epoch": 3.16, + "learning_rate": 2.7908546215377724e-07, + "loss": 1.1546, + "step": 7459 + }, + { + "epoch": 3.16, + "learning_rate": 2.787869259185953e-07, + "loss": 0.845, + "step": 7460 + }, + { + "epoch": 3.16, + "learning_rate": 2.784885330810443e-07, + "loss": 0.8364, + "step": 7461 + }, + { + "epoch": 3.16, + "learning_rate": 2.781902836761625e-07, + "loss": 0.7679, + "step": 7462 + }, + { + "epoch": 3.16, + "learning_rate": 2.778921777389708e-07, + "loss": 0.9797, + "step": 7463 + }, + { + "epoch": 3.16, + "learning_rate": 2.775942153044735e-07, + "loss": 0.8044, + "step": 7464 + }, + { + "epoch": 3.16, + "learning_rate": 2.7729639640765825e-07, + "loss": 1.1904, + "step": 7465 + }, + { + "epoch": 3.16, + "learning_rate": 2.7699872108349577e-07, + "loss": 0.6366, + "step": 7466 + }, + { + "epoch": 3.16, + "learning_rate": 2.7670118936693913e-07, + "loss": 1.0162, + "step": 7467 + }, + { + "epoch": 3.16, + "learning_rate": 2.7640380129292595e-07, + "loss": 1.1685, + "step": 7468 + }, + { + "epoch": 3.16, + "learning_rate": 2.761065568963756e-07, + "loss": 0.9234, + "step": 7469 + }, + { + "epoch": 3.16, + "learning_rate": 2.758094562121917e-07, + "loss": 1.0015, + "step": 7470 + }, + { + "epoch": 3.16, + "learning_rate": 2.7551249927525947e-07, + "loss": 0.9087, + "step": 7471 + }, + { + "epoch": 3.16, + "learning_rate": 2.752156861204499e-07, + "loss": 1.3042, + "step": 7472 + }, + { + "epoch": 3.16, + "learning_rate": 2.74919016782614e-07, + "loss": 0.9274, + "step": 7473 + }, + { + "epoch": 3.16, + "learning_rate": 2.746224912965886e-07, + "loss": 0.769, + "step": 7474 + }, + { + "epoch": 3.16, + "learning_rate": 2.7432610969719125e-07, + "loss": 1.0215, + "step": 7475 + }, + { + "epoch": 3.16, + "learning_rate": 2.740298720192245e-07, + "loss": 0.7865, + "step": 7476 + }, + { + "epoch": 3.17, + "learning_rate": 2.7373377829747294e-07, + "loss": 1.0333, + "step": 7477 + }, + { + "epoch": 3.17, + "learning_rate": 2.734378285667048e-07, + "loss": 0.6943, + "step": 7478 + }, + { + "epoch": 3.17, + "learning_rate": 2.7314202286167036e-07, + "loss": 0.4168, + "step": 7479 + }, + { + "epoch": 3.17, + "learning_rate": 2.728463612171053e-07, + "loss": 1.1084, + "step": 7480 + }, + { + "epoch": 3.17, + "learning_rate": 2.7255084366772547e-07, + "loss": 0.9401, + "step": 7481 + }, + { + "epoch": 3.17, + "learning_rate": 2.722554702482324e-07, + "loss": 0.7227, + "step": 7482 + }, + { + "epoch": 3.17, + "learning_rate": 2.719602409933084e-07, + "loss": 0.7148, + "step": 7483 + }, + { + "epoch": 3.17, + "learning_rate": 2.71665155937621e-07, + "loss": 1.0019, + "step": 7484 + }, + { + "epoch": 3.17, + "learning_rate": 2.7137021511581875e-07, + "loss": 0.7828, + "step": 7485 + }, + { + "epoch": 3.17, + "learning_rate": 2.7107541856253477e-07, + "loss": 0.9759, + "step": 7486 + }, + { + "epoch": 3.17, + "learning_rate": 2.7078076631238524e-07, + "loss": 1.1339, + "step": 7487 + }, + { + "epoch": 3.17, + "learning_rate": 2.704862583999678e-07, + "loss": 0.7025, + "step": 7488 + }, + { + "epoch": 3.17, + "learning_rate": 2.701918948598655e-07, + "loss": 0.9326, + "step": 7489 + }, + { + "epoch": 3.17, + "learning_rate": 2.6989767572664197e-07, + "loss": 0.8093, + "step": 7490 + }, + { + "epoch": 3.17, + "learning_rate": 2.696036010348461e-07, + "loss": 0.9501, + "step": 7491 + }, + { + "epoch": 3.17, + "learning_rate": 2.6930967081900795e-07, + "loss": 1.1307, + "step": 7492 + }, + { + "epoch": 3.17, + "learning_rate": 2.690158851136422e-07, + "loss": 0.8539, + "step": 7493 + }, + { + "epoch": 3.17, + "learning_rate": 2.687222439532449e-07, + "loss": 1.0939, + "step": 7494 + }, + { + "epoch": 3.17, + "learning_rate": 2.684287473722974e-07, + "loss": 0.6054, + "step": 7495 + }, + { + "epoch": 3.17, + "learning_rate": 2.681353954052615e-07, + "loss": 1.1502, + "step": 7496 + }, + { + "epoch": 3.17, + "learning_rate": 2.6784218808658433e-07, + "loss": 0.9988, + "step": 7497 + }, + { + "epoch": 3.17, + "learning_rate": 2.6754912545069404e-07, + "loss": 0.9449, + "step": 7498 + }, + { + "epoch": 3.17, + "learning_rate": 2.672562075320035e-07, + "loss": 0.9298, + "step": 7499 + }, + { + "epoch": 3.18, + "learning_rate": 2.6696343436490695e-07, + "loss": 1.5664, + "step": 7500 + }, + { + "epoch": 3.18, + "learning_rate": 2.66670805983783e-07, + "loss": 1.3422, + "step": 7501 + }, + { + "epoch": 3.18, + "learning_rate": 2.663783224229927e-07, + "loss": 0.8463, + "step": 7502 + }, + { + "epoch": 3.18, + "learning_rate": 2.660859837168805e-07, + "loss": 0.8303, + "step": 7503 + }, + { + "epoch": 3.18, + "learning_rate": 2.6579378989977264e-07, + "loss": 1.2484, + "step": 7504 + }, + { + "epoch": 3.18, + "learning_rate": 2.655017410059801e-07, + "loss": 0.9457, + "step": 7505 + }, + { + "epoch": 3.18, + "learning_rate": 2.65209837069795e-07, + "loss": 0.7097, + "step": 7506 + }, + { + "epoch": 3.18, + "learning_rate": 2.649180781254944e-07, + "loss": 0.9016, + "step": 7507 + }, + { + "epoch": 3.18, + "learning_rate": 2.6462646420733624e-07, + "loss": 0.9781, + "step": 7508 + }, + { + "epoch": 3.18, + "learning_rate": 2.643349953495629e-07, + "loss": 1.0054, + "step": 7509 + }, + { + "epoch": 3.18, + "learning_rate": 2.640436715863996e-07, + "loss": 0.7396, + "step": 7510 + }, + { + "epoch": 3.18, + "learning_rate": 2.637524929520544e-07, + "loss": 0.6949, + "step": 7511 + }, + { + "epoch": 3.18, + "learning_rate": 2.634614594807173e-07, + "loss": 0.881, + "step": 7512 + }, + { + "epoch": 3.18, + "learning_rate": 2.6317057120656317e-07, + "loss": 1.0148, + "step": 7513 + }, + { + "epoch": 3.18, + "learning_rate": 2.628798281637478e-07, + "loss": 0.8084, + "step": 7514 + }, + { + "epoch": 3.18, + "learning_rate": 2.6258923038641165e-07, + "loss": 0.8296, + "step": 7515 + }, + { + "epoch": 3.18, + "learning_rate": 2.622987779086768e-07, + "loss": 0.9997, + "step": 7516 + }, + { + "epoch": 3.18, + "learning_rate": 2.6200847076464916e-07, + "loss": 1.1379, + "step": 7517 + }, + { + "epoch": 3.18, + "learning_rate": 2.617183089884175e-07, + "loss": 1.0612, + "step": 7518 + }, + { + "epoch": 3.18, + "learning_rate": 2.614282926140526e-07, + "loss": 1.4014, + "step": 7519 + }, + { + "epoch": 3.18, + "learning_rate": 2.6113842167560964e-07, + "loss": 0.8354, + "step": 7520 + }, + { + "epoch": 3.18, + "learning_rate": 2.608486962071251e-07, + "loss": 0.8313, + "step": 7521 + }, + { + "epoch": 3.18, + "learning_rate": 2.6055911624261974e-07, + "loss": 1.0798, + "step": 7522 + }, + { + "epoch": 3.19, + "learning_rate": 2.6026968181609655e-07, + "loss": 0.7322, + "step": 7523 + }, + { + "epoch": 3.19, + "learning_rate": 2.5998039296154203e-07, + "loss": 1.0577, + "step": 7524 + }, + { + "epoch": 3.19, + "learning_rate": 2.596912497129243e-07, + "loss": 0.5635, + "step": 7525 + }, + { + "epoch": 3.19, + "learning_rate": 2.5940225210419603e-07, + "loss": 1.4021, + "step": 7526 + }, + { + "epoch": 3.19, + "learning_rate": 2.591134001692911e-07, + "loss": 0.8749, + "step": 7527 + }, + { + "epoch": 3.19, + "learning_rate": 2.5882469394212824e-07, + "loss": 1.0518, + "step": 7528 + }, + { + "epoch": 3.19, + "learning_rate": 2.5853613345660697e-07, + "loss": 0.6427, + "step": 7529 + }, + { + "epoch": 3.19, + "learning_rate": 2.582477187466117e-07, + "loss": 1.1726, + "step": 7530 + }, + { + "epoch": 3.19, + "learning_rate": 2.5795944984600727e-07, + "loss": 0.8814, + "step": 7531 + }, + { + "epoch": 3.19, + "learning_rate": 2.576713267886447e-07, + "loss": 1.0634, + "step": 7532 + }, + { + "epoch": 3.19, + "learning_rate": 2.5738334960835486e-07, + "loss": 0.7134, + "step": 7533 + }, + { + "epoch": 3.19, + "learning_rate": 2.5709551833895324e-07, + "loss": 0.8878, + "step": 7534 + }, + { + "epoch": 3.19, + "learning_rate": 2.568078330142371e-07, + "loss": 0.9821, + "step": 7535 + }, + { + "epoch": 3.19, + "learning_rate": 2.565202936679878e-07, + "loss": 1.0691, + "step": 7536 + }, + { + "epoch": 3.19, + "learning_rate": 2.5623290033396815e-07, + "loss": 0.8444, + "step": 7537 + }, + { + "epoch": 3.19, + "learning_rate": 2.5594565304592477e-07, + "loss": 1.1119, + "step": 7538 + }, + { + "epoch": 3.19, + "learning_rate": 2.556585518375871e-07, + "loss": 1.0352, + "step": 7539 + }, + { + "epoch": 3.19, + "learning_rate": 2.553715967426676e-07, + "loss": 0.6969, + "step": 7540 + }, + { + "epoch": 3.19, + "eval_loss": 1.2546535730361938, + "eval_runtime": 32.1006, + "eval_samples_per_second": 38.784, + "eval_steps_per_second": 19.408, + "step": 7540 + }, + { + "epoch": 3.19, + "learning_rate": 2.5508478779486014e-07, + "loss": 0.9152, + "step": 7541 + }, + { + "epoch": 3.19, + "learning_rate": 2.547981250278434e-07, + "loss": 1.0758, + "step": 7542 + }, + { + "epoch": 3.19, + "learning_rate": 2.5451160847527747e-07, + "loss": 0.7136, + "step": 7543 + }, + { + "epoch": 3.19, + "learning_rate": 2.542252381708062e-07, + "loss": 0.7828, + "step": 7544 + }, + { + "epoch": 3.19, + "learning_rate": 2.539390141480552e-07, + "loss": 0.6967, + "step": 7545 + }, + { + "epoch": 3.2, + "learning_rate": 2.5365293644063385e-07, + "loss": 0.9652, + "step": 7546 + }, + { + "epoch": 3.2, + "learning_rate": 2.5336700508213465e-07, + "loss": 0.75, + "step": 7547 + }, + { + "epoch": 3.2, + "learning_rate": 2.5308122010613145e-07, + "loss": 0.9706, + "step": 7548 + }, + { + "epoch": 3.2, + "learning_rate": 2.52795581546182e-07, + "loss": 0.7823, + "step": 7549 + }, + { + "epoch": 3.2, + "learning_rate": 2.5251008943582734e-07, + "loss": 0.6237, + "step": 7550 + }, + { + "epoch": 3.2, + "learning_rate": 2.522247438085895e-07, + "loss": 1.1665, + "step": 7551 + }, + { + "epoch": 3.2, + "learning_rate": 2.5193954469797527e-07, + "loss": 0.8981, + "step": 7552 + }, + { + "epoch": 3.2, + "learning_rate": 2.516544921374726e-07, + "loss": 1.0448, + "step": 7553 + }, + { + "epoch": 3.2, + "learning_rate": 2.513695861605537e-07, + "loss": 0.8896, + "step": 7554 + }, + { + "epoch": 3.2, + "learning_rate": 2.5108482680067285e-07, + "loss": 1.0887, + "step": 7555 + }, + { + "epoch": 3.2, + "learning_rate": 2.5080021409126656e-07, + "loss": 1.044, + "step": 7556 + }, + { + "epoch": 3.2, + "learning_rate": 2.505157480657557e-07, + "loss": 0.689, + "step": 7557 + }, + { + "epoch": 3.2, + "learning_rate": 2.5023142875754156e-07, + "loss": 1.0388, + "step": 7558 + }, + { + "epoch": 3.2, + "learning_rate": 2.4994725620001093e-07, + "loss": 1.1037, + "step": 7559 + }, + { + "epoch": 3.2, + "learning_rate": 2.49663230426531e-07, + "loss": 1.2524, + "step": 7560 + }, + { + "epoch": 3.2, + "learning_rate": 2.49379351470453e-07, + "loss": 1.015, + "step": 7561 + }, + { + "epoch": 3.2, + "learning_rate": 2.4909561936511087e-07, + "loss": 1.1157, + "step": 7562 + }, + { + "epoch": 3.2, + "learning_rate": 2.488120341438212e-07, + "loss": 1.3802, + "step": 7563 + }, + { + "epoch": 3.2, + "learning_rate": 2.485285958398828e-07, + "loss": 1.0257, + "step": 7564 + }, + { + "epoch": 3.2, + "learning_rate": 2.4824530448657805e-07, + "loss": 0.7533, + "step": 7565 + }, + { + "epoch": 3.2, + "learning_rate": 2.47962160117171e-07, + "loss": 1.4272, + "step": 7566 + }, + { + "epoch": 3.2, + "learning_rate": 2.476791627649102e-07, + "loss": 1.246, + "step": 7567 + }, + { + "epoch": 3.2, + "learning_rate": 2.473963124630241e-07, + "loss": 0.7513, + "step": 7568 + }, + { + "epoch": 3.21, + "learning_rate": 2.4711360924472773e-07, + "loss": 1.0546, + "step": 7569 + }, + { + "epoch": 3.21, + "learning_rate": 2.4683105314321533e-07, + "loss": 1.06, + "step": 7570 + }, + { + "epoch": 3.21, + "learning_rate": 2.465486441916661e-07, + "loss": 0.8629, + "step": 7571 + }, + { + "epoch": 3.21, + "learning_rate": 2.462663824232402e-07, + "loss": 0.9371, + "step": 7572 + }, + { + "epoch": 3.21, + "learning_rate": 2.459842678710825e-07, + "loss": 0.8568, + "step": 7573 + }, + { + "epoch": 3.21, + "learning_rate": 2.457023005683186e-07, + "loss": 0.8848, + "step": 7574 + }, + { + "epoch": 3.21, + "learning_rate": 2.454204805480586e-07, + "loss": 0.8142, + "step": 7575 + }, + { + "epoch": 3.21, + "learning_rate": 2.4513880784339367e-07, + "loss": 0.8029, + "step": 7576 + }, + { + "epoch": 3.21, + "learning_rate": 2.448572824873988e-07, + "loss": 1.1417, + "step": 7577 + }, + { + "epoch": 3.21, + "learning_rate": 2.445759045131313e-07, + "loss": 1.062, + "step": 7578 + }, + { + "epoch": 3.21, + "learning_rate": 2.4429467395363166e-07, + "loss": 0.6206, + "step": 7579 + }, + { + "epoch": 3.21, + "learning_rate": 2.44013590841922e-07, + "loss": 0.9858, + "step": 7580 + }, + { + "epoch": 3.21, + "learning_rate": 2.4373265521100805e-07, + "loss": 1.107, + "step": 7581 + }, + { + "epoch": 3.21, + "learning_rate": 2.434518670938777e-07, + "loss": 0.9413, + "step": 7582 + }, + { + "epoch": 3.21, + "learning_rate": 2.431712265235019e-07, + "loss": 1.1618, + "step": 7583 + }, + { + "epoch": 3.21, + "learning_rate": 2.428907335328343e-07, + "loss": 0.775, + "step": 7584 + }, + { + "epoch": 3.21, + "learning_rate": 2.4261038815481063e-07, + "loss": 0.7833, + "step": 7585 + }, + { + "epoch": 3.21, + "learning_rate": 2.4233019042235003e-07, + "loss": 0.9643, + "step": 7586 + }, + { + "epoch": 3.21, + "learning_rate": 2.4205014036835346e-07, + "loss": 0.9129, + "step": 7587 + }, + { + "epoch": 3.21, + "learning_rate": 2.417702380257058e-07, + "loss": 1.1049, + "step": 7588 + }, + { + "epoch": 3.21, + "learning_rate": 2.4149048342727304e-07, + "loss": 0.9063, + "step": 7589 + }, + { + "epoch": 3.21, + "learning_rate": 2.412108766059049e-07, + "loss": 0.8736, + "step": 7590 + }, + { + "epoch": 3.21, + "learning_rate": 2.409314175944335e-07, + "loss": 0.8798, + "step": 7591 + }, + { + "epoch": 3.21, + "learning_rate": 2.4065210642567386e-07, + "loss": 0.9517, + "step": 7592 + }, + { + "epoch": 3.22, + "learning_rate": 2.4037294313242276e-07, + "loss": 1.0034, + "step": 7593 + }, + { + "epoch": 3.22, + "learning_rate": 2.400939277474609e-07, + "loss": 1.0759, + "step": 7594 + }, + { + "epoch": 3.22, + "learning_rate": 2.3981506030355e-07, + "loss": 0.9476, + "step": 7595 + }, + { + "epoch": 3.22, + "learning_rate": 2.395363408334361e-07, + "loss": 0.7996, + "step": 7596 + }, + { + "epoch": 3.22, + "learning_rate": 2.392577693698466e-07, + "loss": 0.9911, + "step": 7597 + }, + { + "epoch": 3.22, + "learning_rate": 2.38979345945492e-07, + "loss": 0.9162, + "step": 7598 + }, + { + "epoch": 3.22, + "learning_rate": 2.3870107059306574e-07, + "loss": 0.7322, + "step": 7599 + }, + { + "epoch": 3.22, + "learning_rate": 2.3842294334524356e-07, + "loss": 0.9729, + "step": 7600 + }, + { + "epoch": 3.22, + "learning_rate": 2.3814496423468334e-07, + "loss": 0.7074, + "step": 7601 + }, + { + "epoch": 3.22, + "learning_rate": 2.3786713329402666e-07, + "loss": 0.8074, + "step": 7602 + }, + { + "epoch": 3.22, + "learning_rate": 2.3758945055589638e-07, + "loss": 0.6567, + "step": 7603 + }, + { + "epoch": 3.22, + "learning_rate": 2.3731191605289926e-07, + "loss": 0.8344, + "step": 7604 + }, + { + "epoch": 3.22, + "learning_rate": 2.3703452981762308e-07, + "loss": 0.8017, + "step": 7605 + }, + { + "epoch": 3.22, + "learning_rate": 2.367572918826406e-07, + "loss": 1.0886, + "step": 7606 + }, + { + "epoch": 3.22, + "learning_rate": 2.3648020228050465e-07, + "loss": 0.9802, + "step": 7607 + }, + { + "epoch": 3.22, + "learning_rate": 2.3620326104375217e-07, + "loss": 0.8661, + "step": 7608 + }, + { + "epoch": 3.22, + "learning_rate": 2.35926468204902e-07, + "loss": 0.868, + "step": 7609 + }, + { + "epoch": 3.22, + "learning_rate": 2.3564982379645612e-07, + "loss": 0.7041, + "step": 7610 + }, + { + "epoch": 3.22, + "learning_rate": 2.3537332785089822e-07, + "loss": 0.8298, + "step": 7611 + }, + { + "epoch": 3.22, + "learning_rate": 2.3509698040069567e-07, + "loss": 0.7485, + "step": 7612 + }, + { + "epoch": 3.22, + "learning_rate": 2.3482078147829717e-07, + "loss": 1.1059, + "step": 7613 + }, + { + "epoch": 3.22, + "learning_rate": 2.3454473111613512e-07, + "loss": 0.8314, + "step": 7614 + }, + { + "epoch": 3.22, + "learning_rate": 2.3426882934662407e-07, + "loss": 0.7044, + "step": 7615 + }, + { + "epoch": 3.23, + "learning_rate": 2.339930762021605e-07, + "loss": 0.7201, + "step": 7616 + }, + { + "epoch": 3.23, + "learning_rate": 2.3371747171512476e-07, + "loss": 0.928, + "step": 7617 + }, + { + "epoch": 3.23, + "learning_rate": 2.33442015917878e-07, + "loss": 1.101, + "step": 7618 + }, + { + "epoch": 3.23, + "learning_rate": 2.3316670884276587e-07, + "loss": 1.1643, + "step": 7619 + }, + { + "epoch": 3.23, + "learning_rate": 2.328915505221143e-07, + "loss": 1.2187, + "step": 7620 + }, + { + "epoch": 3.23, + "learning_rate": 2.3261654098823432e-07, + "loss": 1.0825, + "step": 7621 + }, + { + "epoch": 3.23, + "learning_rate": 2.323416802734174e-07, + "loss": 1.1945, + "step": 7622 + }, + { + "epoch": 3.23, + "learning_rate": 2.320669684099389e-07, + "loss": 0.9019, + "step": 7623 + }, + { + "epoch": 3.23, + "learning_rate": 2.3179240543005536e-07, + "loss": 0.8306, + "step": 7624 + }, + { + "epoch": 3.23, + "learning_rate": 2.3151799136600748e-07, + "loss": 0.6773, + "step": 7625 + }, + { + "epoch": 3.23, + "learning_rate": 2.3124372625001666e-07, + "loss": 0.9079, + "step": 7626 + }, + { + "epoch": 3.23, + "learning_rate": 2.3096961011428846e-07, + "loss": 0.9514, + "step": 7627 + }, + { + "epoch": 3.23, + "learning_rate": 2.3069564299100916e-07, + "loss": 1.1397, + "step": 7628 + }, + { + "epoch": 3.23, + "learning_rate": 2.3042182491235014e-07, + "loss": 0.804, + "step": 7629 + }, + { + "epoch": 3.23, + "learning_rate": 2.3014815591046273e-07, + "loss": 1.1485, + "step": 7630 + }, + { + "epoch": 3.23, + "learning_rate": 2.2987463601748238e-07, + "loss": 0.5981, + "step": 7631 + }, + { + "epoch": 3.23, + "learning_rate": 2.2960126526552556e-07, + "loss": 0.9455, + "step": 7632 + }, + { + "epoch": 3.23, + "learning_rate": 2.2932804368669308e-07, + "loss": 1.0951, + "step": 7633 + }, + { + "epoch": 3.23, + "learning_rate": 2.290549713130663e-07, + "loss": 1.1738, + "step": 7634 + }, + { + "epoch": 3.23, + "learning_rate": 2.2878204817671056e-07, + "loss": 1.1329, + "step": 7635 + }, + { + "epoch": 3.23, + "learning_rate": 2.2850927430967288e-07, + "loss": 1.217, + "step": 7636 + }, + { + "epoch": 3.23, + "learning_rate": 2.282366497439835e-07, + "loss": 0.975, + "step": 7637 + }, + { + "epoch": 3.23, + "learning_rate": 2.2796417451165397e-07, + "loss": 0.7474, + "step": 7638 + }, + { + "epoch": 3.24, + "learning_rate": 2.276918486446797e-07, + "loss": 1.1474, + "step": 7639 + }, + { + "epoch": 3.24, + "learning_rate": 2.2741967217503672e-07, + "loss": 0.6718, + "step": 7640 + }, + { + "epoch": 3.24, + "learning_rate": 2.2714764513468573e-07, + "loss": 0.9536, + "step": 7641 + }, + { + "epoch": 3.24, + "learning_rate": 2.2687576755556793e-07, + "loss": 1.4192, + "step": 7642 + }, + { + "epoch": 3.24, + "learning_rate": 2.2660403946960816e-07, + "loss": 1.2356, + "step": 7643 + }, + { + "epoch": 3.24, + "learning_rate": 2.2633246090871375e-07, + "loss": 0.7799, + "step": 7644 + }, + { + "epoch": 3.24, + "learning_rate": 2.2606103190477329e-07, + "loss": 1.0731, + "step": 7645 + }, + { + "epoch": 3.24, + "learning_rate": 2.2578975248965917e-07, + "loss": 0.9542, + "step": 7646 + }, + { + "epoch": 3.24, + "learning_rate": 2.2551862269522522e-07, + "loss": 0.8245, + "step": 7647 + }, + { + "epoch": 3.24, + "learning_rate": 2.2524764255330848e-07, + "loss": 1.1267, + "step": 7648 + }, + { + "epoch": 3.24, + "learning_rate": 2.24976812095728e-07, + "loss": 1.1093, + "step": 7649 + }, + { + "epoch": 3.24, + "learning_rate": 2.247061313542852e-07, + "loss": 0.8866, + "step": 7650 + }, + { + "epoch": 3.24, + "learning_rate": 2.2443560036076376e-07, + "loss": 0.9435, + "step": 7651 + }, + { + "epoch": 3.24, + "learning_rate": 2.2416521914693083e-07, + "loss": 0.9249, + "step": 7652 + }, + { + "epoch": 3.24, + "learning_rate": 2.2389498774453448e-07, + "loss": 1.0655, + "step": 7653 + }, + { + "epoch": 3.24, + "learning_rate": 2.2362490618530635e-07, + "loss": 1.0289, + "step": 7654 + }, + { + "epoch": 3.24, + "learning_rate": 2.2335497450095955e-07, + "loss": 0.7965, + "step": 7655 + }, + { + "epoch": 3.24, + "learning_rate": 2.2308519272319056e-07, + "loss": 0.81, + "step": 7656 + }, + { + "epoch": 3.24, + "learning_rate": 2.2281556088367688e-07, + "loss": 0.8593, + "step": 7657 + }, + { + "epoch": 3.24, + "learning_rate": 2.2254607901408087e-07, + "loss": 1.1984, + "step": 7658 + }, + { + "epoch": 3.24, + "learning_rate": 2.2227674714604434e-07, + "loss": 0.5978, + "step": 7659 + }, + { + "epoch": 3.24, + "learning_rate": 2.2200756531119355e-07, + "loss": 1.107, + "step": 7660 + }, + { + "epoch": 3.24, + "learning_rate": 2.21738533541136e-07, + "loss": 0.9381, + "step": 7661 + }, + { + "epoch": 3.25, + "learning_rate": 2.214696518674626e-07, + "loss": 1.2114, + "step": 7662 + }, + { + "epoch": 3.25, + "learning_rate": 2.2120092032174528e-07, + "loss": 0.9194, + "step": 7663 + }, + { + "epoch": 3.25, + "learning_rate": 2.2093233893553994e-07, + "loss": 1.1659, + "step": 7664 + }, + { + "epoch": 3.25, + "learning_rate": 2.2066390774038287e-07, + "loss": 0.7986, + "step": 7665 + }, + { + "epoch": 3.25, + "learning_rate": 2.203956267677952e-07, + "loss": 0.8132, + "step": 7666 + }, + { + "epoch": 3.25, + "learning_rate": 2.2012749604927833e-07, + "loss": 1.0578, + "step": 7667 + }, + { + "epoch": 3.25, + "learning_rate": 2.1985951561631719e-07, + "loss": 0.8051, + "step": 7668 + }, + { + "epoch": 3.25, + "learning_rate": 2.1959168550037817e-07, + "loss": 1.1134, + "step": 7669 + }, + { + "epoch": 3.25, + "learning_rate": 2.19324005732911e-07, + "loss": 0.807, + "step": 7670 + }, + { + "epoch": 3.25, + "learning_rate": 2.1905647634534654e-07, + "loss": 0.9693, + "step": 7671 + }, + { + "epoch": 3.25, + "learning_rate": 2.187890973690993e-07, + "loss": 1.2451, + "step": 7672 + }, + { + "epoch": 3.25, + "learning_rate": 2.1852186883556568e-07, + "loss": 1.1671, + "step": 7673 + }, + { + "epoch": 3.25, + "learning_rate": 2.1825479077612377e-07, + "loss": 0.8776, + "step": 7674 + }, + { + "epoch": 3.25, + "learning_rate": 2.1798786322213443e-07, + "loss": 1.0055, + "step": 7675 + }, + { + "epoch": 3.25, + "learning_rate": 2.177210862049418e-07, + "loss": 0.8972, + "step": 7676 + }, + { + "epoch": 3.25, + "learning_rate": 2.174544597558703e-07, + "loss": 0.7192, + "step": 7677 + }, + { + "epoch": 3.25, + "learning_rate": 2.1718798390622858e-07, + "loss": 0.9927, + "step": 7678 + }, + { + "epoch": 3.25, + "learning_rate": 2.169216586873064e-07, + "loss": 0.9392, + "step": 7679 + }, + { + "epoch": 3.25, + "learning_rate": 2.1665548413037644e-07, + "loss": 0.7644, + "step": 7680 + }, + { + "epoch": 3.25, + "learning_rate": 2.1638946026669388e-07, + "loss": 1.0637, + "step": 7681 + }, + { + "epoch": 3.25, + "learning_rate": 2.1612358712749502e-07, + "loss": 1.0915, + "step": 7682 + }, + { + "epoch": 3.25, + "learning_rate": 2.1585786474400027e-07, + "loss": 0.9008, + "step": 7683 + }, + { + "epoch": 3.25, + "learning_rate": 2.1559229314741065e-07, + "loss": 0.8537, + "step": 7684 + }, + { + "epoch": 3.26, + "learning_rate": 2.1532687236891053e-07, + "loss": 0.7831, + "step": 7685 + }, + { + "epoch": 3.26, + "learning_rate": 2.1506160243966599e-07, + "loss": 0.8515, + "step": 7686 + }, + { + "epoch": 3.26, + "learning_rate": 2.1479648339082563e-07, + "loss": 0.9662, + "step": 7687 + }, + { + "epoch": 3.26, + "learning_rate": 2.145315152535204e-07, + "loss": 1.0999, + "step": 7688 + }, + { + "epoch": 3.26, + "learning_rate": 2.14266698058864e-07, + "loss": 0.9513, + "step": 7689 + }, + { + "epoch": 3.26, + "learning_rate": 2.1400203183795097e-07, + "loss": 0.7429, + "step": 7690 + }, + { + "epoch": 3.26, + "learning_rate": 2.1373751662185974e-07, + "loss": 1.0961, + "step": 7691 + }, + { + "epoch": 3.26, + "learning_rate": 2.1347315244164983e-07, + "loss": 1.1434, + "step": 7692 + }, + { + "epoch": 3.26, + "learning_rate": 2.132089393283639e-07, + "loss": 0.6452, + "step": 7693 + }, + { + "epoch": 3.26, + "learning_rate": 2.1294487731302575e-07, + "loss": 0.8367, + "step": 7694 + }, + { + "epoch": 3.26, + "learning_rate": 2.126809664266428e-07, + "loss": 1.1132, + "step": 7695 + }, + { + "epoch": 3.26, + "learning_rate": 2.1241720670020375e-07, + "loss": 0.9089, + "step": 7696 + }, + { + "epoch": 3.26, + "learning_rate": 2.1215359816468034e-07, + "loss": 0.9565, + "step": 7697 + }, + { + "epoch": 3.26, + "learning_rate": 2.1189014085102542e-07, + "loss": 0.9147, + "step": 7698 + }, + { + "epoch": 3.26, + "learning_rate": 2.1162683479017546e-07, + "loss": 0.9875, + "step": 7699 + }, + { + "epoch": 3.26, + "learning_rate": 2.1136368001304774e-07, + "loss": 0.8108, + "step": 7700 + }, + { + "epoch": 3.26, + "learning_rate": 2.1110067655054317e-07, + "loss": 0.9262, + "step": 7701 + }, + { + "epoch": 3.26, + "learning_rate": 2.1083782443354304e-07, + "loss": 0.9677, + "step": 7702 + }, + { + "epoch": 3.26, + "learning_rate": 2.105751236929137e-07, + "loss": 0.7984, + "step": 7703 + }, + { + "epoch": 3.26, + "learning_rate": 2.103125743595008e-07, + "loss": 1.3464, + "step": 7704 + }, + { + "epoch": 3.26, + "learning_rate": 2.100501764641345e-07, + "loss": 0.7139, + "step": 7705 + }, + { + "epoch": 3.26, + "learning_rate": 2.0978793003762497e-07, + "loss": 0.8297, + "step": 7706 + }, + { + "epoch": 3.26, + "learning_rate": 2.0952583511076695e-07, + "loss": 0.7353, + "step": 7707 + }, + { + "epoch": 3.26, + "learning_rate": 2.092638917143353e-07, + "loss": 0.9696, + "step": 7708 + }, + { + "epoch": 3.27, + "learning_rate": 2.090020998790884e-07, + "loss": 0.9179, + "step": 7709 + }, + { + "epoch": 3.27, + "learning_rate": 2.087404596357669e-07, + "loss": 0.9716, + "step": 7710 + }, + { + "epoch": 3.27, + "learning_rate": 2.084789710150921e-07, + "loss": 0.7933, + "step": 7711 + }, + { + "epoch": 3.27, + "learning_rate": 2.082176340477699e-07, + "loss": 0.8765, + "step": 7712 + }, + { + "epoch": 3.27, + "learning_rate": 2.0795644876448582e-07, + "loss": 0.9567, + "step": 7713 + }, + { + "epoch": 3.27, + "learning_rate": 2.076954151959099e-07, + "loss": 1.5061, + "step": 7714 + }, + { + "epoch": 3.27, + "learning_rate": 2.0743453337269257e-07, + "loss": 0.9464, + "step": 7715 + }, + { + "epoch": 3.27, + "learning_rate": 2.071738033254677e-07, + "loss": 1.0644, + "step": 7716 + }, + { + "epoch": 3.27, + "learning_rate": 2.0691322508484977e-07, + "loss": 1.0706, + "step": 7717 + }, + { + "epoch": 3.27, + "learning_rate": 2.06652798681438e-07, + "loss": 0.8969, + "step": 7718 + }, + { + "epoch": 3.27, + "learning_rate": 2.0639252414581107e-07, + "loss": 0.9422, + "step": 7719 + }, + { + "epoch": 3.27, + "learning_rate": 2.0613240150853185e-07, + "loss": 1.0832, + "step": 7720 + }, + { + "epoch": 3.27, + "learning_rate": 2.0587243080014377e-07, + "loss": 0.9321, + "step": 7721 + }, + { + "epoch": 3.27, + "learning_rate": 2.0561261205117394e-07, + "loss": 1.0866, + "step": 7722 + }, + { + "epoch": 3.27, + "learning_rate": 2.0535294529213005e-07, + "loss": 1.0527, + "step": 7723 + }, + { + "epoch": 3.27, + "learning_rate": 2.050934305535031e-07, + "loss": 1.3642, + "step": 7724 + }, + { + "epoch": 3.27, + "learning_rate": 2.048340678657662e-07, + "loss": 1.2019, + "step": 7725 + }, + { + "epoch": 3.27, + "learning_rate": 2.045748572593743e-07, + "loss": 1.1572, + "step": 7726 + }, + { + "epoch": 3.27, + "learning_rate": 2.0431579876476392e-07, + "loss": 0.9913, + "step": 7727 + }, + { + "epoch": 3.27, + "learning_rate": 2.0405689241235503e-07, + "loss": 0.7349, + "step": 7728 + }, + { + "epoch": 3.27, + "learning_rate": 2.0379813823254832e-07, + "loss": 0.7648, + "step": 7729 + }, + { + "epoch": 3.27, + "learning_rate": 2.0353953625572803e-07, + "loss": 1.0844, + "step": 7730 + }, + { + "epoch": 3.27, + "learning_rate": 2.0328108651225895e-07, + "loss": 1.1918, + "step": 7731 + }, + { + "epoch": 3.28, + "learning_rate": 2.0302278903248938e-07, + "loss": 1.0385, + "step": 7732 + }, + { + "epoch": 3.28, + "learning_rate": 2.0276464384674904e-07, + "loss": 0.9911, + "step": 7733 + }, + { + "epoch": 3.28, + "learning_rate": 2.025066509853505e-07, + "loss": 1.0524, + "step": 7734 + }, + { + "epoch": 3.28, + "learning_rate": 2.0224881047858685e-07, + "loss": 0.6003, + "step": 7735 + }, + { + "epoch": 3.28, + "learning_rate": 2.0199112235673522e-07, + "loss": 0.5008, + "step": 7736 + }, + { + "epoch": 3.28, + "learning_rate": 2.0173358665005327e-07, + "loss": 0.8045, + "step": 7737 + }, + { + "epoch": 3.28, + "learning_rate": 2.0147620338878192e-07, + "loss": 0.6127, + "step": 7738 + }, + { + "epoch": 3.28, + "learning_rate": 2.012189726031432e-07, + "loss": 0.7775, + "step": 7739 + }, + { + "epoch": 3.28, + "learning_rate": 2.0096189432334195e-07, + "loss": 0.9713, + "step": 7740 + }, + { + "epoch": 3.28, + "learning_rate": 2.007049685795655e-07, + "loss": 0.7212, + "step": 7741 + }, + { + "epoch": 3.28, + "learning_rate": 2.0044819540198155e-07, + "loss": 0.9819, + "step": 7742 + }, + { + "epoch": 3.28, + "learning_rate": 2.00191574820742e-07, + "loss": 1.0307, + "step": 7743 + }, + { + "epoch": 3.28, + "learning_rate": 1.999351068659791e-07, + "loss": 1.14, + "step": 7744 + }, + { + "epoch": 3.28, + "learning_rate": 1.9967879156780854e-07, + "loss": 0.735, + "step": 7745 + }, + { + "epoch": 3.28, + "learning_rate": 1.994226289563268e-07, + "loss": 1.1611, + "step": 7746 + }, + { + "epoch": 3.28, + "learning_rate": 1.9916661906161328e-07, + "loss": 0.9952, + "step": 7747 + }, + { + "epoch": 3.28, + "learning_rate": 1.9891076191372941e-07, + "loss": 0.9138, + "step": 7748 + }, + { + "epoch": 3.28, + "learning_rate": 1.9865505754271873e-07, + "loss": 1.225, + "step": 7749 + }, + { + "epoch": 3.28, + "learning_rate": 1.9839950597860602e-07, + "loss": 0.7343, + "step": 7750 + }, + { + "epoch": 3.28, + "learning_rate": 1.9814410725139943e-07, + "loss": 1.0085, + "step": 7751 + }, + { + "epoch": 3.28, + "learning_rate": 1.978888613910878e-07, + "loss": 0.7681, + "step": 7752 + }, + { + "epoch": 3.28, + "learning_rate": 1.9763376842764336e-07, + "loss": 1.102, + "step": 7753 + }, + { + "epoch": 3.28, + "learning_rate": 1.9737882839101862e-07, + "loss": 1.0768, + "step": 7754 + }, + { + "epoch": 3.29, + "learning_rate": 1.9712404131115065e-07, + "loss": 0.6712, + "step": 7755 + }, + { + "epoch": 3.29, + "learning_rate": 1.9686940721795599e-07, + "loss": 0.7851, + "step": 7756 + }, + { + "epoch": 3.29, + "learning_rate": 1.9661492614133524e-07, + "loss": 0.8053, + "step": 7757 + }, + { + "epoch": 3.29, + "learning_rate": 1.9636059811116917e-07, + "loss": 0.9982, + "step": 7758 + }, + { + "epoch": 3.29, + "learning_rate": 1.9610642315732257e-07, + "loss": 0.8877, + "step": 7759 + }, + { + "epoch": 3.29, + "learning_rate": 1.9585240130964038e-07, + "loss": 0.9482, + "step": 7760 + }, + { + "epoch": 3.29, + "learning_rate": 1.9559853259795124e-07, + "loss": 0.9663, + "step": 7761 + }, + { + "epoch": 3.29, + "learning_rate": 1.953448170520638e-07, + "loss": 1.2529, + "step": 7762 + }, + { + "epoch": 3.29, + "learning_rate": 1.950912547017714e-07, + "loss": 0.9481, + "step": 7763 + }, + { + "epoch": 3.29, + "learning_rate": 1.9483784557684676e-07, + "loss": 1.1254, + "step": 7764 + }, + { + "epoch": 3.29, + "learning_rate": 1.9458458970704652e-07, + "loss": 0.7823, + "step": 7765 + }, + { + "epoch": 3.29, + "learning_rate": 1.9433148712210807e-07, + "loss": 1.0761, + "step": 7766 + }, + { + "epoch": 3.29, + "learning_rate": 1.9407853785175168e-07, + "loss": 0.6202, + "step": 7767 + }, + { + "epoch": 3.29, + "learning_rate": 1.938257419256787e-07, + "loss": 1.0522, + "step": 7768 + }, + { + "epoch": 3.29, + "learning_rate": 1.9357309937357326e-07, + "loss": 1.0871, + "step": 7769 + }, + { + "epoch": 3.29, + "learning_rate": 1.933206102251016e-07, + "loss": 1.1515, + "step": 7770 + }, + { + "epoch": 3.29, + "learning_rate": 1.9306827450991088e-07, + "loss": 0.7357, + "step": 7771 + }, + { + "epoch": 3.29, + "learning_rate": 1.928160922576317e-07, + "loss": 0.7912, + "step": 7772 + }, + { + "epoch": 3.29, + "learning_rate": 1.9256406349787519e-07, + "loss": 0.9305, + "step": 7773 + }, + { + "epoch": 3.29, + "learning_rate": 1.923121882602354e-07, + "loss": 0.7881, + "step": 7774 + }, + { + "epoch": 3.29, + "learning_rate": 1.920604665742886e-07, + "loss": 1.0865, + "step": 7775 + }, + { + "epoch": 3.29, + "learning_rate": 1.9180889846959154e-07, + "loss": 0.9795, + "step": 7776 + }, + { + "epoch": 3.29, + "learning_rate": 1.9155748397568458e-07, + "loss": 0.6481, + "step": 7777 + }, + { + "epoch": 3.3, + "learning_rate": 1.9130622312208955e-07, + "loss": 1.0503, + "step": 7778 + }, + { + "epoch": 3.3, + "learning_rate": 1.9105511593830928e-07, + "loss": 0.7461, + "step": 7779 + }, + { + "epoch": 3.3, + "learning_rate": 1.9080416245383043e-07, + "loss": 1.0927, + "step": 7780 + }, + { + "epoch": 3.3, + "learning_rate": 1.9055336269811946e-07, + "loss": 0.9116, + "step": 7781 + }, + { + "epoch": 3.3, + "learning_rate": 1.9030271670062665e-07, + "loss": 0.8665, + "step": 7782 + }, + { + "epoch": 3.3, + "learning_rate": 1.900522244907828e-07, + "loss": 0.936, + "step": 7783 + }, + { + "epoch": 3.3, + "learning_rate": 1.898018860980017e-07, + "loss": 0.8502, + "step": 7784 + }, + { + "epoch": 3.3, + "learning_rate": 1.8955170155167833e-07, + "loss": 0.8866, + "step": 7785 + }, + { + "epoch": 3.3, + "learning_rate": 1.8930167088119053e-07, + "loss": 0.7336, + "step": 7786 + }, + { + "epoch": 3.3, + "learning_rate": 1.8905179411589686e-07, + "loss": 0.5508, + "step": 7787 + }, + { + "epoch": 3.3, + "learning_rate": 1.8880207128513894e-07, + "loss": 1.2583, + "step": 7788 + }, + { + "epoch": 3.3, + "learning_rate": 1.8855250241823917e-07, + "loss": 1.9309, + "step": 7789 + }, + { + "epoch": 3.3, + "learning_rate": 1.883030875445033e-07, + "loss": 0.8679, + "step": 7790 + }, + { + "epoch": 3.3, + "learning_rate": 1.880538266932169e-07, + "loss": 0.8237, + "step": 7791 + }, + { + "epoch": 3.3, + "learning_rate": 1.8780471989365022e-07, + "loss": 0.9747, + "step": 7792 + }, + { + "epoch": 3.3, + "learning_rate": 1.87555767175053e-07, + "loss": 0.9681, + "step": 7793 + }, + { + "epoch": 3.3, + "learning_rate": 1.8730696856665857e-07, + "loss": 0.7892, + "step": 7794 + }, + { + "epoch": 3.3, + "learning_rate": 1.8705832409768054e-07, + "loss": 1.0649, + "step": 7795 + }, + { + "epoch": 3.3, + "learning_rate": 1.868098337973162e-07, + "loss": 0.8009, + "step": 7796 + }, + { + "epoch": 3.3, + "learning_rate": 1.8656149769474307e-07, + "loss": 0.9314, + "step": 7797 + }, + { + "epoch": 3.3, + "learning_rate": 1.8631331581912198e-07, + "loss": 0.9895, + "step": 7798 + }, + { + "epoch": 3.3, + "learning_rate": 1.8606528819959445e-07, + "loss": 0.9818, + "step": 7799 + }, + { + "epoch": 3.3, + "learning_rate": 1.8581741486528486e-07, + "loss": 0.9077, + "step": 7800 + }, + { + "epoch": 3.31, + "learning_rate": 1.8556969584529877e-07, + "loss": 1.4166, + "step": 7801 + }, + { + "epoch": 3.31, + "learning_rate": 1.8532213116872438e-07, + "loss": 0.6896, + "step": 7802 + }, + { + "epoch": 3.31, + "learning_rate": 1.850747208646308e-07, + "loss": 0.9352, + "step": 7803 + }, + { + "epoch": 3.31, + "learning_rate": 1.8482746496206993e-07, + "loss": 1.0138, + "step": 7804 + }, + { + "epoch": 3.31, + "learning_rate": 1.8458036349007473e-07, + "loss": 0.7694, + "step": 7805 + }, + { + "epoch": 3.31, + "learning_rate": 1.843334164776605e-07, + "loss": 0.9135, + "step": 7806 + }, + { + "epoch": 3.31, + "learning_rate": 1.840866239538247e-07, + "loss": 1.0946, + "step": 7807 + }, + { + "epoch": 3.31, + "learning_rate": 1.8383998594754564e-07, + "loss": 1.1897, + "step": 7808 + }, + { + "epoch": 3.31, + "learning_rate": 1.8359350248778485e-07, + "loss": 1.0511, + "step": 7809 + }, + { + "epoch": 3.31, + "learning_rate": 1.833471736034843e-07, + "loss": 0.8821, + "step": 7810 + }, + { + "epoch": 3.31, + "learning_rate": 1.8310099932356922e-07, + "loss": 0.9536, + "step": 7811 + }, + { + "epoch": 3.31, + "learning_rate": 1.8285497967694498e-07, + "loss": 0.895, + "step": 7812 + }, + { + "epoch": 3.31, + "learning_rate": 1.826091146925008e-07, + "loss": 0.7992, + "step": 7813 + }, + { + "epoch": 3.31, + "learning_rate": 1.823634043991056e-07, + "loss": 1.0853, + "step": 7814 + }, + { + "epoch": 3.31, + "learning_rate": 1.8211784882561227e-07, + "loss": 0.8322, + "step": 7815 + }, + { + "epoch": 3.31, + "learning_rate": 1.818724480008541e-07, + "loss": 0.8096, + "step": 7816 + }, + { + "epoch": 3.31, + "learning_rate": 1.8162720195364674e-07, + "loss": 0.7947, + "step": 7817 + }, + { + "epoch": 3.31, + "learning_rate": 1.8138211071278726e-07, + "loss": 0.6545, + "step": 7818 + }, + { + "epoch": 3.31, + "learning_rate": 1.8113717430705517e-07, + "loss": 1.1699, + "step": 7819 + }, + { + "epoch": 3.31, + "learning_rate": 1.8089239276521096e-07, + "loss": 1.1955, + "step": 7820 + }, + { + "epoch": 3.31, + "learning_rate": 1.8064776611599797e-07, + "loss": 1.0531, + "step": 7821 + }, + { + "epoch": 3.31, + "learning_rate": 1.804032943881404e-07, + "loss": 0.9692, + "step": 7822 + }, + { + "epoch": 3.31, + "learning_rate": 1.8015897761034543e-07, + "loss": 0.8523, + "step": 7823 + }, + { + "epoch": 3.32, + "learning_rate": 1.799148158113003e-07, + "loss": 0.8505, + "step": 7824 + }, + { + "epoch": 3.32, + "learning_rate": 1.7967080901967593e-07, + "loss": 0.9465, + "step": 7825 + }, + { + "epoch": 3.32, + "learning_rate": 1.7942695726412333e-07, + "loss": 0.8717, + "step": 7826 + }, + { + "epoch": 3.32, + "learning_rate": 1.7918326057327684e-07, + "loss": 0.9151, + "step": 7827 + }, + { + "epoch": 3.32, + "learning_rate": 1.7893971897575135e-07, + "loss": 0.9544, + "step": 7828 + }, + { + "epoch": 3.32, + "learning_rate": 1.7869633250014417e-07, + "loss": 0.8638, + "step": 7829 + }, + { + "epoch": 3.32, + "learning_rate": 1.7845310117503445e-07, + "loss": 0.7304, + "step": 7830 + }, + { + "epoch": 3.32, + "learning_rate": 1.7821002502898331e-07, + "loss": 0.9023, + "step": 7831 + }, + { + "epoch": 3.32, + "learning_rate": 1.7796710409053263e-07, + "loss": 0.8953, + "step": 7832 + }, + { + "epoch": 3.32, + "learning_rate": 1.777243383882074e-07, + "loss": 1.2373, + "step": 7833 + }, + { + "epoch": 3.32, + "learning_rate": 1.7748172795051315e-07, + "loss": 0.9928, + "step": 7834 + }, + { + "epoch": 3.32, + "learning_rate": 1.772392728059381e-07, + "loss": 0.843, + "step": 7835 + }, + { + "epoch": 3.32, + "learning_rate": 1.7699697298295146e-07, + "loss": 1.1955, + "step": 7836 + }, + { + "epoch": 3.32, + "learning_rate": 1.767548285100052e-07, + "loss": 1.0128, + "step": 7837 + }, + { + "epoch": 3.32, + "learning_rate": 1.765128394155323e-07, + "loss": 0.8396, + "step": 7838 + }, + { + "epoch": 3.32, + "learning_rate": 1.762710057279473e-07, + "loss": 0.9126, + "step": 7839 + }, + { + "epoch": 3.32, + "learning_rate": 1.7602932747564742e-07, + "loss": 1.1781, + "step": 7840 + }, + { + "epoch": 3.32, + "learning_rate": 1.7578780468701068e-07, + "loss": 0.7456, + "step": 7841 + }, + { + "epoch": 3.32, + "learning_rate": 1.7554643739039748e-07, + "loss": 0.9478, + "step": 7842 + }, + { + "epoch": 3.32, + "learning_rate": 1.753052256141491e-07, + "loss": 1.0908, + "step": 7843 + }, + { + "epoch": 3.32, + "learning_rate": 1.7506416938659025e-07, + "loss": 0.9832, + "step": 7844 + }, + { + "epoch": 3.32, + "learning_rate": 1.7482326873602538e-07, + "loss": 0.846, + "step": 7845 + }, + { + "epoch": 3.32, + "learning_rate": 1.7458252369074236e-07, + "loss": 0.7781, + "step": 7846 + }, + { + "epoch": 3.32, + "learning_rate": 1.743419342790092e-07, + "loss": 0.9739, + "step": 7847 + }, + { + "epoch": 3.33, + "learning_rate": 1.7410150052907715e-07, + "loss": 0.9493, + "step": 7848 + }, + { + "epoch": 3.33, + "learning_rate": 1.7386122246917796e-07, + "loss": 1.2734, + "step": 7849 + }, + { + "epoch": 3.33, + "learning_rate": 1.7362110012752625e-07, + "loss": 0.7431, + "step": 7850 + }, + { + "epoch": 3.33, + "learning_rate": 1.7338113353231676e-07, + "loss": 1.0869, + "step": 7851 + }, + { + "epoch": 3.33, + "learning_rate": 1.7314132271172817e-07, + "loss": 1.035, + "step": 7852 + }, + { + "epoch": 3.33, + "learning_rate": 1.7290166769391857e-07, + "loss": 0.9567, + "step": 7853 + }, + { + "epoch": 3.33, + "learning_rate": 1.726621685070295e-07, + "loss": 0.7649, + "step": 7854 + }, + { + "epoch": 3.33, + "learning_rate": 1.724228251791829e-07, + "loss": 0.8619, + "step": 7855 + }, + { + "epoch": 3.33, + "learning_rate": 1.721836377384835e-07, + "loss": 0.9262, + "step": 7856 + }, + { + "epoch": 3.33, + "learning_rate": 1.71944606213017e-07, + "loss": 0.8448, + "step": 7857 + }, + { + "epoch": 3.33, + "learning_rate": 1.7170573063085094e-07, + "loss": 0.9319, + "step": 7858 + }, + { + "epoch": 3.33, + "learning_rate": 1.714670110200347e-07, + "loss": 0.8572, + "step": 7859 + }, + { + "epoch": 3.33, + "learning_rate": 1.7122844740859973e-07, + "loss": 1.1619, + "step": 7860 + }, + { + "epoch": 3.33, + "learning_rate": 1.7099003982455807e-07, + "loss": 1.2611, + "step": 7861 + }, + { + "epoch": 3.33, + "learning_rate": 1.7075178829590455e-07, + "loss": 0.7603, + "step": 7862 + }, + { + "epoch": 3.33, + "learning_rate": 1.7051369285061474e-07, + "loss": 0.6734, + "step": 7863 + }, + { + "epoch": 3.33, + "learning_rate": 1.70275753516647e-07, + "loss": 0.8191, + "step": 7864 + }, + { + "epoch": 3.33, + "learning_rate": 1.7003797032194007e-07, + "loss": 0.8532, + "step": 7865 + }, + { + "epoch": 3.33, + "learning_rate": 1.6980034329441518e-07, + "loss": 1.3224, + "step": 7866 + }, + { + "epoch": 3.33, + "learning_rate": 1.6956287246197532e-07, + "loss": 0.8211, + "step": 7867 + }, + { + "epoch": 3.33, + "learning_rate": 1.6932555785250454e-07, + "loss": 1.0797, + "step": 7868 + }, + { + "epoch": 3.33, + "learning_rate": 1.6908839949386918e-07, + "loss": 0.5585, + "step": 7869 + }, + { + "epoch": 3.33, + "learning_rate": 1.688513974139163e-07, + "loss": 1.3269, + "step": 7870 + }, + { + "epoch": 3.34, + "learning_rate": 1.6861455164047585e-07, + "loss": 0.7302, + "step": 7871 + }, + { + "epoch": 3.34, + "learning_rate": 1.6837786220135887e-07, + "loss": 0.8973, + "step": 7872 + }, + { + "epoch": 3.34, + "learning_rate": 1.681413291243573e-07, + "loss": 1.0564, + "step": 7873 + }, + { + "epoch": 3.34, + "learning_rate": 1.679049524372458e-07, + "loss": 1.1376, + "step": 7874 + }, + { + "epoch": 3.34, + "learning_rate": 1.676687321677806e-07, + "loss": 0.6165, + "step": 7875 + }, + { + "epoch": 3.34, + "learning_rate": 1.6743266834369857e-07, + "loss": 0.9048, + "step": 7876 + }, + { + "epoch": 3.34, + "learning_rate": 1.6719676099271953e-07, + "loss": 1.1764, + "step": 7877 + }, + { + "epoch": 3.34, + "learning_rate": 1.6696101014254362e-07, + "loss": 0.6437, + "step": 7878 + }, + { + "epoch": 3.34, + "learning_rate": 1.667254158208537e-07, + "loss": 0.8255, + "step": 7879 + }, + { + "epoch": 3.34, + "learning_rate": 1.6648997805531335e-07, + "loss": 1.1793, + "step": 7880 + }, + { + "epoch": 3.34, + "learning_rate": 1.662546968735686e-07, + "loss": 0.7802, + "step": 7881 + }, + { + "epoch": 3.34, + "learning_rate": 1.6601957230324649e-07, + "loss": 0.9388, + "step": 7882 + }, + { + "epoch": 3.34, + "learning_rate": 1.657846043719563e-07, + "loss": 0.8966, + "step": 7883 + }, + { + "epoch": 3.34, + "learning_rate": 1.6554979310728796e-07, + "loss": 0.933, + "step": 7884 + }, + { + "epoch": 3.34, + "learning_rate": 1.653151385368139e-07, + "loss": 0.846, + "step": 7885 + }, + { + "epoch": 3.34, + "learning_rate": 1.6508064068808744e-07, + "loss": 1.098, + "step": 7886 + }, + { + "epoch": 3.34, + "learning_rate": 1.648462995886445e-07, + "loss": 0.8146, + "step": 7887 + }, + { + "epoch": 3.34, + "learning_rate": 1.6461211526600078e-07, + "loss": 0.8357, + "step": 7888 + }, + { + "epoch": 3.34, + "learning_rate": 1.6437808774765612e-07, + "loss": 0.7843, + "step": 7889 + }, + { + "epoch": 3.34, + "learning_rate": 1.6414421706108967e-07, + "loss": 0.7567, + "step": 7890 + }, + { + "epoch": 3.34, + "learning_rate": 1.639105032337635e-07, + "loss": 1.3676, + "step": 7891 + }, + { + "epoch": 3.34, + "learning_rate": 1.6367694629312047e-07, + "loss": 0.7344, + "step": 7892 + }, + { + "epoch": 3.34, + "learning_rate": 1.6344354626658582e-07, + "loss": 0.9019, + "step": 7893 + }, + { + "epoch": 3.35, + "learning_rate": 1.6321030318156528e-07, + "loss": 0.9017, + "step": 7894 + }, + { + "epoch": 3.35, + "learning_rate": 1.629772170654476e-07, + "loss": 1.1831, + "step": 7895 + }, + { + "epoch": 3.35, + "learning_rate": 1.6274428794560143e-07, + "loss": 0.7066, + "step": 7896 + }, + { + "epoch": 3.35, + "learning_rate": 1.6251151584937818e-07, + "loss": 0.9971, + "step": 7897 + }, + { + "epoch": 3.35, + "learning_rate": 1.6227890080411085e-07, + "loss": 0.7607, + "step": 7898 + }, + { + "epoch": 3.35, + "learning_rate": 1.6204644283711306e-07, + "loss": 1.1828, + "step": 7899 + }, + { + "epoch": 3.35, + "learning_rate": 1.6181414197568084e-07, + "loss": 1.157, + "step": 7900 + }, + { + "epoch": 3.35, + "learning_rate": 1.6158199824709168e-07, + "loss": 0.8061, + "step": 7901 + }, + { + "epoch": 3.35, + "learning_rate": 1.6135001167860398e-07, + "loss": 0.7012, + "step": 7902 + }, + { + "epoch": 3.35, + "learning_rate": 1.6111818229745838e-07, + "loss": 0.9063, + "step": 7903 + }, + { + "epoch": 3.35, + "learning_rate": 1.6088651013087718e-07, + "loss": 0.6908, + "step": 7904 + }, + { + "epoch": 3.35, + "learning_rate": 1.606549952060631e-07, + "loss": 0.9362, + "step": 7905 + }, + { + "epoch": 3.35, + "learning_rate": 1.6042363755020167e-07, + "loss": 0.7385, + "step": 7906 + }, + { + "epoch": 3.35, + "learning_rate": 1.6019243719045923e-07, + "loss": 0.9222, + "step": 7907 + }, + { + "epoch": 3.35, + "learning_rate": 1.5996139415398404e-07, + "loss": 0.5897, + "step": 7908 + }, + { + "epoch": 3.35, + "learning_rate": 1.5973050846790537e-07, + "loss": 0.7545, + "step": 7909 + }, + { + "epoch": 3.35, + "learning_rate": 1.594997801593346e-07, + "loss": 0.8159, + "step": 7910 + }, + { + "epoch": 3.35, + "learning_rate": 1.592692092553643e-07, + "loss": 0.8693, + "step": 7911 + }, + { + "epoch": 3.35, + "learning_rate": 1.590387957830689e-07, + "loss": 0.9337, + "step": 7912 + }, + { + "epoch": 3.35, + "learning_rate": 1.5880853976950354e-07, + "loss": 1.0244, + "step": 7913 + }, + { + "epoch": 3.35, + "learning_rate": 1.585784412417061e-07, + "loss": 0.8769, + "step": 7914 + }, + { + "epoch": 3.35, + "learning_rate": 1.583485002266945e-07, + "loss": 0.9834, + "step": 7915 + }, + { + "epoch": 3.35, + "learning_rate": 1.5811871675146978e-07, + "loss": 0.9407, + "step": 7916 + }, + { + "epoch": 3.36, + "learning_rate": 1.5788909084301266e-07, + "loss": 0.8789, + "step": 7917 + }, + { + "epoch": 3.36, + "learning_rate": 1.5765962252828696e-07, + "loss": 0.7385, + "step": 7918 + }, + { + "epoch": 3.36, + "learning_rate": 1.574303118342373e-07, + "loss": 0.727, + "step": 7919 + }, + { + "epoch": 3.36, + "learning_rate": 1.5720115878779024e-07, + "loss": 1.0819, + "step": 7920 + }, + { + "epoch": 3.36, + "learning_rate": 1.5697216341585262e-07, + "loss": 0.9634, + "step": 7921 + }, + { + "epoch": 3.36, + "learning_rate": 1.567433257453143e-07, + "loss": 0.9435, + "step": 7922 + }, + { + "epoch": 3.36, + "learning_rate": 1.5651464580304542e-07, + "loss": 0.9255, + "step": 7923 + }, + { + "epoch": 3.36, + "learning_rate": 1.5628612361589867e-07, + "loss": 0.9436, + "step": 7924 + }, + { + "epoch": 3.36, + "learning_rate": 1.5605775921070692e-07, + "loss": 0.6028, + "step": 7925 + }, + { + "epoch": 3.36, + "learning_rate": 1.558295526142857e-07, + "loss": 0.7808, + "step": 7926 + }, + { + "epoch": 3.36, + "learning_rate": 1.5560150385343164e-07, + "loss": 0.9744, + "step": 7927 + }, + { + "epoch": 3.36, + "learning_rate": 1.5537361295492276e-07, + "loss": 0.936, + "step": 7928 + }, + { + "epoch": 3.36, + "learning_rate": 1.55145879945518e-07, + "loss": 0.9424, + "step": 7929 + }, + { + "epoch": 3.36, + "learning_rate": 1.5491830485195895e-07, + "loss": 0.9176, + "step": 7930 + }, + { + "epoch": 3.36, + "learning_rate": 1.5469088770096763e-07, + "loss": 0.6694, + "step": 7931 + }, + { + "epoch": 3.36, + "learning_rate": 1.544636285192481e-07, + "loss": 0.7809, + "step": 7932 + }, + { + "epoch": 3.36, + "learning_rate": 1.542365273334851e-07, + "loss": 0.8829, + "step": 7933 + }, + { + "epoch": 3.36, + "learning_rate": 1.5400958417034604e-07, + "loss": 0.8717, + "step": 7934 + }, + { + "epoch": 3.36, + "learning_rate": 1.5378279905647884e-07, + "loss": 0.6681, + "step": 7935 + }, + { + "epoch": 3.36, + "learning_rate": 1.53556172018513e-07, + "loss": 1.1642, + "step": 7936 + }, + { + "epoch": 3.36, + "learning_rate": 1.533297030830601e-07, + "loss": 1.2575, + "step": 7937 + }, + { + "epoch": 3.36, + "learning_rate": 1.5310339227671183e-07, + "loss": 1.3045, + "step": 7938 + }, + { + "epoch": 3.36, + "learning_rate": 1.5287723962604294e-07, + "loss": 0.6028, + "step": 7939 + }, + { + "epoch": 3.37, + "learning_rate": 1.526512451576077e-07, + "loss": 0.6855, + "step": 7940 + }, + { + "epoch": 3.37, + "learning_rate": 1.5242540889794438e-07, + "loss": 0.9682, + "step": 7941 + }, + { + "epoch": 3.37, + "learning_rate": 1.521997308735699e-07, + "loss": 0.9013, + "step": 7942 + }, + { + "epoch": 3.37, + "learning_rate": 1.519742111109848e-07, + "loss": 0.9563, + "step": 7943 + }, + { + "epoch": 3.37, + "learning_rate": 1.5174884963666935e-07, + "loss": 0.9573, + "step": 7944 + }, + { + "epoch": 3.37, + "learning_rate": 1.5152364647708672e-07, + "loss": 1.0676, + "step": 7945 + }, + { + "epoch": 3.37, + "learning_rate": 1.5129860165868026e-07, + "loss": 1.069, + "step": 7946 + }, + { + "epoch": 3.37, + "learning_rate": 1.5107371520787567e-07, + "loss": 0.9867, + "step": 7947 + }, + { + "epoch": 3.37, + "learning_rate": 1.5084898715107863e-07, + "loss": 1.1435, + "step": 7948 + }, + { + "epoch": 3.37, + "learning_rate": 1.5062441751467876e-07, + "loss": 0.6999, + "step": 7949 + }, + { + "epoch": 3.37, + "learning_rate": 1.504000063250444e-07, + "loss": 0.9751, + "step": 7950 + }, + { + "epoch": 3.37, + "learning_rate": 1.5017575360852704e-07, + "loss": 1.1282, + "step": 7951 + }, + { + "epoch": 3.37, + "learning_rate": 1.4995165939145855e-07, + "loss": 1.0114, + "step": 7952 + }, + { + "epoch": 3.37, + "learning_rate": 1.497277237001529e-07, + "loss": 1.0713, + "step": 7953 + }, + { + "epoch": 3.37, + "learning_rate": 1.495039465609046e-07, + "loss": 0.8355, + "step": 7954 + }, + { + "epoch": 3.37, + "learning_rate": 1.4928032799999057e-07, + "loss": 0.8878, + "step": 7955 + }, + { + "epoch": 3.37, + "learning_rate": 1.4905686804366853e-07, + "loss": 1.392, + "step": 7956 + }, + { + "epoch": 3.37, + "learning_rate": 1.4883356671817778e-07, + "loss": 0.6994, + "step": 7957 + }, + { + "epoch": 3.37, + "learning_rate": 1.4861042404973834e-07, + "loss": 0.95, + "step": 7958 + }, + { + "epoch": 3.37, + "learning_rate": 1.4838744006455296e-07, + "loss": 0.781, + "step": 7959 + }, + { + "epoch": 3.37, + "learning_rate": 1.48164614788804e-07, + "loss": 0.7813, + "step": 7960 + }, + { + "epoch": 3.37, + "learning_rate": 1.4794194824865704e-07, + "loss": 1.2841, + "step": 7961 + }, + { + "epoch": 3.37, + "learning_rate": 1.4771944047025732e-07, + "loss": 1.2945, + "step": 7962 + }, + { + "epoch": 3.38, + "learning_rate": 1.4749709147973246e-07, + "loss": 1.0451, + "step": 7963 + }, + { + "epoch": 3.38, + "learning_rate": 1.4727490130319138e-07, + "loss": 0.7272, + "step": 7964 + }, + { + "epoch": 3.38, + "learning_rate": 1.470528699667239e-07, + "loss": 0.6447, + "step": 7965 + }, + { + "epoch": 3.38, + "learning_rate": 1.4683099749640182e-07, + "loss": 1.1081, + "step": 7966 + }, + { + "epoch": 3.38, + "learning_rate": 1.466092839182775e-07, + "loss": 1.12, + "step": 7967 + }, + { + "epoch": 3.38, + "learning_rate": 1.4638772925838539e-07, + "loss": 0.8831, + "step": 7968 + }, + { + "epoch": 3.38, + "learning_rate": 1.461663335427404e-07, + "loss": 0.6824, + "step": 7969 + }, + { + "epoch": 3.38, + "learning_rate": 1.4594509679733986e-07, + "loss": 0.7898, + "step": 7970 + }, + { + "epoch": 3.38, + "learning_rate": 1.457240190481617e-07, + "loss": 0.877, + "step": 7971 + }, + { + "epoch": 3.38, + "learning_rate": 1.4550310032116559e-07, + "loss": 1.0059, + "step": 7972 + }, + { + "epoch": 3.38, + "learning_rate": 1.4528234064229201e-07, + "loss": 0.6747, + "step": 7973 + }, + { + "epoch": 3.38, + "learning_rate": 1.4506174003746336e-07, + "loss": 1.063, + "step": 7974 + }, + { + "epoch": 3.38, + "learning_rate": 1.448412985325826e-07, + "loss": 0.9229, + "step": 7975 + }, + { + "epoch": 3.38, + "learning_rate": 1.44621016153535e-07, + "loss": 0.7075, + "step": 7976 + }, + { + "epoch": 3.38, + "learning_rate": 1.444008929261859e-07, + "loss": 0.9574, + "step": 7977 + }, + { + "epoch": 3.38, + "learning_rate": 1.441809288763838e-07, + "loss": 0.9809, + "step": 7978 + }, + { + "epoch": 3.38, + "learning_rate": 1.4396112402995633e-07, + "loss": 0.7384, + "step": 7979 + }, + { + "epoch": 3.38, + "learning_rate": 1.4374147841271419e-07, + "loss": 1.1511, + "step": 7980 + }, + { + "epoch": 3.38, + "learning_rate": 1.4352199205044807e-07, + "loss": 1.094, + "step": 7981 + }, + { + "epoch": 3.38, + "learning_rate": 1.4330266496893125e-07, + "loss": 0.9599, + "step": 7982 + }, + { + "epoch": 3.38, + "learning_rate": 1.4308349719391688e-07, + "loss": 0.9538, + "step": 7983 + }, + { + "epoch": 3.38, + "learning_rate": 1.4286448875114077e-07, + "loss": 0.9659, + "step": 7984 + }, + { + "epoch": 3.38, + "learning_rate": 1.426456396663185e-07, + "loss": 1.3859, + "step": 7985 + }, + { + "epoch": 3.38, + "learning_rate": 1.42426949965149e-07, + "loss": 1.1459, + "step": 7986 + }, + { + "epoch": 3.39, + "learning_rate": 1.4220841967331055e-07, + "loss": 0.719, + "step": 7987 + }, + { + "epoch": 3.39, + "learning_rate": 1.4199004881646398e-07, + "loss": 1.0305, + "step": 7988 + }, + { + "epoch": 3.39, + "learning_rate": 1.4177183742025029e-07, + "loss": 0.9348, + "step": 7989 + }, + { + "epoch": 3.39, + "learning_rate": 1.4155378551029297e-07, + "loss": 0.9006, + "step": 7990 + }, + { + "epoch": 3.39, + "learning_rate": 1.4133589311219552e-07, + "loss": 0.8565, + "step": 7991 + }, + { + "epoch": 3.39, + "learning_rate": 1.4111816025154367e-07, + "loss": 1.083, + "step": 7992 + }, + { + "epoch": 3.39, + "learning_rate": 1.4090058695390445e-07, + "loss": 0.6796, + "step": 7993 + }, + { + "epoch": 3.39, + "learning_rate": 1.4068317324482543e-07, + "loss": 0.8858, + "step": 7994 + }, + { + "epoch": 3.39, + "learning_rate": 1.4046591914983603e-07, + "loss": 0.9702, + "step": 7995 + }, + { + "epoch": 3.39, + "learning_rate": 1.4024882469444634e-07, + "loss": 0.9228, + "step": 7996 + }, + { + "epoch": 3.39, + "learning_rate": 1.400318899041483e-07, + "loss": 1.0762, + "step": 7997 + }, + { + "epoch": 3.39, + "learning_rate": 1.3981511480441533e-07, + "loss": 1.1555, + "step": 7998 + }, + { + "epoch": 3.39, + "learning_rate": 1.3959849942070098e-07, + "loss": 0.9356, + "step": 7999 + }, + { + "epoch": 3.39, + "learning_rate": 1.3938204377844098e-07, + "loss": 1.0155, + "step": 8000 + }, + { + "epoch": 3.39, + "learning_rate": 1.3916574790305242e-07, + "loss": 1.1785, + "step": 8001 + }, + { + "epoch": 3.39, + "learning_rate": 1.389496118199326e-07, + "loss": 0.8158, + "step": 8002 + }, + { + "epoch": 3.39, + "learning_rate": 1.3873363555446123e-07, + "loss": 1.1857, + "step": 8003 + }, + { + "epoch": 3.39, + "learning_rate": 1.3851781913199833e-07, + "loss": 0.9302, + "step": 8004 + }, + { + "epoch": 3.39, + "learning_rate": 1.3830216257788603e-07, + "loss": 0.9597, + "step": 8005 + }, + { + "epoch": 3.39, + "learning_rate": 1.3808666591744668e-07, + "loss": 0.8226, + "step": 8006 + }, + { + "epoch": 3.39, + "learning_rate": 1.378713291759847e-07, + "loss": 0.7165, + "step": 8007 + }, + { + "epoch": 3.39, + "learning_rate": 1.3765615237878527e-07, + "loss": 1.0618, + "step": 8008 + }, + { + "epoch": 3.39, + "learning_rate": 1.3744113555111543e-07, + "loss": 1.0055, + "step": 8009 + }, + { + "epoch": 3.4, + "learning_rate": 1.3722627871822218e-07, + "loss": 1.3128, + "step": 8010 + }, + { + "epoch": 3.4, + "learning_rate": 1.3701158190533536e-07, + "loss": 0.8826, + "step": 8011 + }, + { + "epoch": 3.4, + "learning_rate": 1.3679704513766428e-07, + "loss": 1.0959, + "step": 8012 + }, + { + "epoch": 3.4, + "learning_rate": 1.3658266844040114e-07, + "loss": 1.033, + "step": 8013 + }, + { + "epoch": 3.4, + "learning_rate": 1.3636845183871777e-07, + "loss": 1.1643, + "step": 8014 + }, + { + "epoch": 3.4, + "learning_rate": 1.3615439535776842e-07, + "loss": 1.4258, + "step": 8015 + }, + { + "epoch": 3.4, + "learning_rate": 1.3594049902268796e-07, + "loss": 1.0888, + "step": 8016 + }, + { + "epoch": 3.4, + "learning_rate": 1.3572676285859298e-07, + "loss": 1.0858, + "step": 8017 + }, + { + "epoch": 3.4, + "learning_rate": 1.3551318689058022e-07, + "loss": 0.9911, + "step": 8018 + }, + { + "epoch": 3.4, + "learning_rate": 1.3529977114372883e-07, + "loss": 0.7481, + "step": 8019 + }, + { + "epoch": 3.4, + "learning_rate": 1.3508651564309805e-07, + "loss": 1.0003, + "step": 8020 + }, + { + "epoch": 3.4, + "learning_rate": 1.3487342041372952e-07, + "loss": 0.9401, + "step": 8021 + }, + { + "epoch": 3.4, + "learning_rate": 1.3466048548064459e-07, + "loss": 1.1057, + "step": 8022 + }, + { + "epoch": 3.4, + "learning_rate": 1.3444771086884687e-07, + "loss": 0.9958, + "step": 8023 + }, + { + "epoch": 3.4, + "learning_rate": 1.3423509660332096e-07, + "loss": 0.892, + "step": 8024 + }, + { + "epoch": 3.4, + "learning_rate": 1.340226427090328e-07, + "loss": 1.3051, + "step": 8025 + }, + { + "epoch": 3.4, + "learning_rate": 1.338103492109285e-07, + "loss": 0.9122, + "step": 8026 + }, + { + "epoch": 3.4, + "learning_rate": 1.3359821613393673e-07, + "loss": 0.9943, + "step": 8027 + }, + { + "epoch": 3.4, + "learning_rate": 1.3338624350296598e-07, + "loss": 0.6807, + "step": 8028 + }, + { + "epoch": 3.4, + "learning_rate": 1.3317443134290707e-07, + "loss": 0.8192, + "step": 8029 + }, + { + "epoch": 3.4, + "learning_rate": 1.3296277967863135e-07, + "loss": 0.6444, + "step": 8030 + }, + { + "epoch": 3.4, + "learning_rate": 1.3275128853499123e-07, + "loss": 0.8807, + "step": 8031 + }, + { + "epoch": 3.4, + "learning_rate": 1.3253995793682106e-07, + "loss": 1.1574, + "step": 8032 + }, + { + "epoch": 3.41, + "learning_rate": 1.3232878790893492e-07, + "loss": 0.8336, + "step": 8033 + }, + { + "epoch": 3.41, + "learning_rate": 1.3211777847612954e-07, + "loss": 1.0038, + "step": 8034 + }, + { + "epoch": 3.41, + "learning_rate": 1.3190692966318174e-07, + "loss": 1.0252, + "step": 8035 + }, + { + "epoch": 3.41, + "learning_rate": 1.3169624149485038e-07, + "loss": 1.1972, + "step": 8036 + }, + { + "epoch": 3.41, + "learning_rate": 1.3148571399587382e-07, + "loss": 0.8595, + "step": 8037 + }, + { + "epoch": 3.41, + "learning_rate": 1.3127534719097417e-07, + "loss": 1.056, + "step": 8038 + }, + { + "epoch": 3.41, + "learning_rate": 1.3106514110485212e-07, + "loss": 1.0117, + "step": 8039 + }, + { + "epoch": 3.41, + "learning_rate": 1.3085509576219129e-07, + "loss": 0.8734, + "step": 8040 + }, + { + "epoch": 3.41, + "learning_rate": 1.3064521118765492e-07, + "loss": 0.8636, + "step": 8041 + }, + { + "epoch": 3.41, + "learning_rate": 1.3043548740588867e-07, + "loss": 0.955, + "step": 8042 + }, + { + "epoch": 3.41, + "learning_rate": 1.302259244415185e-07, + "loss": 0.9361, + "step": 8043 + }, + { + "epoch": 3.41, + "learning_rate": 1.3001652231915186e-07, + "loss": 1.0534, + "step": 8044 + }, + { + "epoch": 3.41, + "learning_rate": 1.2980728106337726e-07, + "loss": 1.1102, + "step": 8045 + }, + { + "epoch": 3.41, + "learning_rate": 1.295982006987647e-07, + "loss": 0.8247, + "step": 8046 + }, + { + "epoch": 3.41, + "learning_rate": 1.2938928124986393e-07, + "loss": 0.7202, + "step": 8047 + }, + { + "epoch": 3.41, + "learning_rate": 1.2918052274120778e-07, + "loss": 0.7492, + "step": 8048 + }, + { + "epoch": 3.41, + "learning_rate": 1.2897192519730832e-07, + "loss": 0.892, + "step": 8049 + }, + { + "epoch": 3.41, + "learning_rate": 1.2876348864266012e-07, + "loss": 0.8475, + "step": 8050 + }, + { + "epoch": 3.41, + "learning_rate": 1.285552131017378e-07, + "loss": 1.2068, + "step": 8051 + }, + { + "epoch": 3.41, + "learning_rate": 1.2834709859899773e-07, + "loss": 0.7742, + "step": 8052 + }, + { + "epoch": 3.41, + "learning_rate": 1.2813914515887726e-07, + "loss": 0.8081, + "step": 8053 + }, + { + "epoch": 3.41, + "learning_rate": 1.2793135280579498e-07, + "loss": 0.8405, + "step": 8054 + }, + { + "epoch": 3.41, + "learning_rate": 1.2772372156414992e-07, + "loss": 0.8941, + "step": 8055 + }, + { + "epoch": 3.42, + "learning_rate": 1.2751625145832302e-07, + "loss": 1.1363, + "step": 8056 + }, + { + "epoch": 3.42, + "learning_rate": 1.273089425126755e-07, + "loss": 0.6687, + "step": 8057 + }, + { + "epoch": 3.42, + "learning_rate": 1.2710179475155054e-07, + "loss": 1.2116, + "step": 8058 + }, + { + "epoch": 3.42, + "learning_rate": 1.268948081992712e-07, + "loss": 0.9217, + "step": 8059 + }, + { + "epoch": 3.42, + "learning_rate": 1.2668798288014282e-07, + "loss": 1.0386, + "step": 8060 + }, + { + "epoch": 3.42, + "learning_rate": 1.2648131881845138e-07, + "loss": 0.7362, + "step": 8061 + }, + { + "epoch": 3.42, + "learning_rate": 1.2627481603846343e-07, + "loss": 0.676, + "step": 8062 + }, + { + "epoch": 3.42, + "learning_rate": 1.2606847456442738e-07, + "loss": 0.7274, + "step": 8063 + }, + { + "epoch": 3.42, + "learning_rate": 1.2586229442057205e-07, + "loss": 1.2941, + "step": 8064 + }, + { + "epoch": 3.42, + "learning_rate": 1.2565627563110793e-07, + "loss": 0.63, + "step": 8065 + }, + { + "epoch": 3.42, + "learning_rate": 1.2545041822022564e-07, + "loss": 1.1426, + "step": 8066 + }, + { + "epoch": 3.42, + "learning_rate": 1.2524472221209782e-07, + "loss": 0.9484, + "step": 8067 + }, + { + "epoch": 3.42, + "learning_rate": 1.2503918763087784e-07, + "loss": 0.7854, + "step": 8068 + }, + { + "epoch": 3.42, + "learning_rate": 1.2483381450070008e-07, + "loss": 0.8502, + "step": 8069 + }, + { + "epoch": 3.42, + "learning_rate": 1.246286028456794e-07, + "loss": 1.2446, + "step": 8070 + }, + { + "epoch": 3.42, + "learning_rate": 1.24423552689913e-07, + "loss": 0.9766, + "step": 8071 + }, + { + "epoch": 3.42, + "learning_rate": 1.2421866405747768e-07, + "loss": 0.6298, + "step": 8072 + }, + { + "epoch": 3.42, + "learning_rate": 1.240139369724323e-07, + "loss": 0.7616, + "step": 8073 + }, + { + "epoch": 3.42, + "learning_rate": 1.2380937145881582e-07, + "loss": 1.18, + "step": 8074 + }, + { + "epoch": 3.42, + "learning_rate": 1.236049675406497e-07, + "loss": 0.9602, + "step": 8075 + }, + { + "epoch": 3.42, + "learning_rate": 1.2340072524193475e-07, + "loss": 1.0047, + "step": 8076 + }, + { + "epoch": 3.42, + "learning_rate": 1.2319664458665425e-07, + "loss": 0.8572, + "step": 8077 + }, + { + "epoch": 3.42, + "learning_rate": 1.2299272559877106e-07, + "loss": 0.9973, + "step": 8078 + }, + { + "epoch": 3.43, + "learning_rate": 1.2278896830223053e-07, + "loss": 0.8168, + "step": 8079 + }, + { + "epoch": 3.43, + "learning_rate": 1.2258537272095766e-07, + "loss": 0.8257, + "step": 8080 + }, + { + "epoch": 3.43, + "learning_rate": 1.2238193887885968e-07, + "loss": 1.1881, + "step": 8081 + }, + { + "epoch": 3.43, + "learning_rate": 1.221786667998233e-07, + "loss": 0.9671, + "step": 8082 + }, + { + "epoch": 3.43, + "learning_rate": 1.2197555650771863e-07, + "loss": 4.1985, + "step": 8083 + }, + { + "epoch": 3.43, + "learning_rate": 1.2177260802639423e-07, + "loss": 0.8514, + "step": 8084 + }, + { + "epoch": 3.43, + "learning_rate": 1.2156982137968136e-07, + "loss": 0.6914, + "step": 8085 + }, + { + "epoch": 3.43, + "learning_rate": 1.2136719659139134e-07, + "loss": 0.8743, + "step": 8086 + }, + { + "epoch": 3.43, + "learning_rate": 1.211647336853171e-07, + "loss": 0.7517, + "step": 8087 + }, + { + "epoch": 3.43, + "learning_rate": 1.20962432685232e-07, + "loss": 0.9856, + "step": 8088 + }, + { + "epoch": 3.43, + "learning_rate": 1.2076029361489066e-07, + "loss": 1.2793, + "step": 8089 + }, + { + "epoch": 3.43, + "learning_rate": 1.205583164980293e-07, + "loss": 1.0495, + "step": 8090 + }, + { + "epoch": 3.43, + "learning_rate": 1.203565013583639e-07, + "loss": 0.7665, + "step": 8091 + }, + { + "epoch": 3.43, + "learning_rate": 1.2015484821959238e-07, + "loss": 1.3569, + "step": 8092 + }, + { + "epoch": 3.43, + "learning_rate": 1.1995335710539312e-07, + "loss": 1.1374, + "step": 8093 + }, + { + "epoch": 3.43, + "learning_rate": 1.1975202803942604e-07, + "loss": 0.7829, + "step": 8094 + }, + { + "epoch": 3.43, + "learning_rate": 1.1955086104533104e-07, + "loss": 0.929, + "step": 8095 + }, + { + "epoch": 3.43, + "learning_rate": 1.1934985614673006e-07, + "loss": 1.0568, + "step": 8096 + }, + { + "epoch": 3.43, + "learning_rate": 1.1914901336722539e-07, + "loss": 0.8082, + "step": 8097 + }, + { + "epoch": 3.43, + "learning_rate": 1.1894833273040068e-07, + "loss": 0.8163, + "step": 8098 + }, + { + "epoch": 3.43, + "learning_rate": 1.1874781425981989e-07, + "loss": 0.95, + "step": 8099 + }, + { + "epoch": 3.43, + "learning_rate": 1.1854745797902906e-07, + "loss": 1.1132, + "step": 8100 + }, + { + "epoch": 3.43, + "learning_rate": 1.1834726391155365e-07, + "loss": 0.8702, + "step": 8101 + }, + { + "epoch": 3.44, + "learning_rate": 1.1814723208090156e-07, + "loss": 1.0357, + "step": 8102 + }, + { + "epoch": 3.44, + "learning_rate": 1.1794736251056033e-07, + "loss": 0.9606, + "step": 8103 + }, + { + "epoch": 3.44, + "learning_rate": 1.1774765522399966e-07, + "loss": 0.7962, + "step": 8104 + }, + { + "epoch": 3.44, + "learning_rate": 1.1754811024466932e-07, + "loss": 1.2055, + "step": 8105 + }, + { + "epoch": 3.44, + "learning_rate": 1.1734872759600073e-07, + "loss": 1.0344, + "step": 8106 + }, + { + "epoch": 3.44, + "learning_rate": 1.1714950730140533e-07, + "loss": 1.0368, + "step": 8107 + }, + { + "epoch": 3.44, + "learning_rate": 1.1695044938427673e-07, + "loss": 0.455, + "step": 8108 + }, + { + "epoch": 3.44, + "learning_rate": 1.1675155386798791e-07, + "loss": 0.7086, + "step": 8109 + }, + { + "epoch": 3.44, + "learning_rate": 1.1655282077589435e-07, + "loss": 0.9569, + "step": 8110 + }, + { + "epoch": 3.44, + "learning_rate": 1.1635425013133089e-07, + "loss": 0.8321, + "step": 8111 + }, + { + "epoch": 3.44, + "learning_rate": 1.1615584195761537e-07, + "loss": 1.1471, + "step": 8112 + }, + { + "epoch": 3.44, + "learning_rate": 1.1595759627804431e-07, + "loss": 0.6129, + "step": 8113 + }, + { + "epoch": 3.44, + "learning_rate": 1.1575951311589677e-07, + "loss": 1.0654, + "step": 8114 + }, + { + "epoch": 3.44, + "learning_rate": 1.1556159249443166e-07, + "loss": 0.9586, + "step": 8115 + }, + { + "epoch": 3.44, + "learning_rate": 1.1536383443688969e-07, + "loss": 0.7489, + "step": 8116 + }, + { + "epoch": 3.44, + "learning_rate": 1.1516623896649165e-07, + "loss": 0.9566, + "step": 8117 + }, + { + "epoch": 3.44, + "learning_rate": 1.1496880610644012e-07, + "loss": 1.1852, + "step": 8118 + }, + { + "epoch": 3.44, + "learning_rate": 1.1477153587991773e-07, + "loss": 0.7887, + "step": 8119 + }, + { + "epoch": 3.44, + "learning_rate": 1.1457442831008846e-07, + "loss": 0.6204, + "step": 8120 + }, + { + "epoch": 3.44, + "eval_loss": 1.254706621170044, + "eval_runtime": 32.1622, + "eval_samples_per_second": 38.71, + "eval_steps_per_second": 19.371, + "step": 8120 + }, + { + "epoch": 3.44, + "learning_rate": 1.1437748342009746e-07, + "loss": 1.1067, + "step": 8121 + }, + { + "epoch": 3.44, + "learning_rate": 1.141807012330699e-07, + "loss": 0.6542, + "step": 8122 + }, + { + "epoch": 3.44, + "learning_rate": 1.1398408177211278e-07, + "loss": 0.6791, + "step": 8123 + }, + { + "epoch": 3.44, + "learning_rate": 1.1378762506031382e-07, + "loss": 0.7254, + "step": 8124 + }, + { + "epoch": 3.44, + "learning_rate": 1.1359133112074072e-07, + "loss": 0.3727, + "step": 8125 + }, + { + "epoch": 3.45, + "learning_rate": 1.1339519997644321e-07, + "loss": 1.1956, + "step": 8126 + }, + { + "epoch": 3.45, + "learning_rate": 1.1319923165045171e-07, + "loss": 1.0384, + "step": 8127 + }, + { + "epoch": 3.45, + "learning_rate": 1.1300342616577681e-07, + "loss": 1.2343, + "step": 8128 + }, + { + "epoch": 3.45, + "learning_rate": 1.1280778354541077e-07, + "loss": 0.9882, + "step": 8129 + }, + { + "epoch": 3.45, + "learning_rate": 1.126123038123259e-07, + "loss": 0.8681, + "step": 8130 + }, + { + "epoch": 3.45, + "learning_rate": 1.124169869894765e-07, + "loss": 0.9228, + "step": 8131 + }, + { + "epoch": 3.45, + "learning_rate": 1.1222183309979656e-07, + "loss": 0.7246, + "step": 8132 + }, + { + "epoch": 3.45, + "learning_rate": 1.1202684216620208e-07, + "loss": 0.7973, + "step": 8133 + }, + { + "epoch": 3.45, + "learning_rate": 1.118320142115884e-07, + "loss": 0.8379, + "step": 8134 + }, + { + "epoch": 3.45, + "learning_rate": 1.1163734925883374e-07, + "loss": 1.0494, + "step": 8135 + }, + { + "epoch": 3.45, + "learning_rate": 1.1144284733079546e-07, + "loss": 1.3523, + "step": 8136 + }, + { + "epoch": 3.45, + "learning_rate": 1.1124850845031298e-07, + "loss": 1.1052, + "step": 8137 + }, + { + "epoch": 3.45, + "learning_rate": 1.110543326402052e-07, + "loss": 0.926, + "step": 8138 + }, + { + "epoch": 3.45, + "learning_rate": 1.1086031992327338e-07, + "loss": 1.1024, + "step": 8139 + }, + { + "epoch": 3.45, + "learning_rate": 1.1066647032229865e-07, + "loss": 1.0253, + "step": 8140 + }, + { + "epoch": 3.45, + "learning_rate": 1.1047278386004311e-07, + "loss": 0.8023, + "step": 8141 + }, + { + "epoch": 3.45, + "learning_rate": 1.1027926055925008e-07, + "loss": 1.1553, + "step": 8142 + }, + { + "epoch": 3.45, + "learning_rate": 1.1008590044264371e-07, + "loss": 0.7504, + "step": 8143 + }, + { + "epoch": 3.45, + "learning_rate": 1.0989270353292851e-07, + "loss": 1.1319, + "step": 8144 + }, + { + "epoch": 3.45, + "learning_rate": 1.0969966985279018e-07, + "loss": 0.9663, + "step": 8145 + }, + { + "epoch": 3.45, + "learning_rate": 1.0950679942489506e-07, + "loss": 0.9502, + "step": 8146 + }, + { + "epoch": 3.45, + "learning_rate": 1.093140922718907e-07, + "loss": 1.083, + "step": 8147 + }, + { + "epoch": 3.45, + "learning_rate": 1.0912154841640487e-07, + "loss": 0.7661, + "step": 8148 + }, + { + "epoch": 3.46, + "learning_rate": 1.0892916788104662e-07, + "loss": 0.8722, + "step": 8149 + }, + { + "epoch": 3.46, + "learning_rate": 1.0873695068840589e-07, + "loss": 1.0154, + "step": 8150 + }, + { + "epoch": 3.46, + "learning_rate": 1.0854489686105329e-07, + "loss": 1.2771, + "step": 8151 + }, + { + "epoch": 3.46, + "learning_rate": 1.0835300642153978e-07, + "loss": 0.8993, + "step": 8152 + }, + { + "epoch": 3.46, + "learning_rate": 1.0816127939239834e-07, + "loss": 0.9617, + "step": 8153 + }, + { + "epoch": 3.46, + "learning_rate": 1.0796971579614112e-07, + "loss": 0.6933, + "step": 8154 + }, + { + "epoch": 3.46, + "learning_rate": 1.0777831565526264e-07, + "loss": 0.8127, + "step": 8155 + }, + { + "epoch": 3.46, + "learning_rate": 1.0758707899223708e-07, + "loss": 1.5703, + "step": 8156 + }, + { + "epoch": 3.46, + "learning_rate": 1.0739600582951997e-07, + "loss": 0.9663, + "step": 8157 + }, + { + "epoch": 3.46, + "learning_rate": 1.0720509618954804e-07, + "loss": 0.8402, + "step": 8158 + }, + { + "epoch": 3.46, + "learning_rate": 1.0701435009473753e-07, + "loss": 1.1326, + "step": 8159 + }, + { + "epoch": 3.46, + "learning_rate": 1.0682376756748719e-07, + "loss": 0.7199, + "step": 8160 + }, + { + "epoch": 3.46, + "learning_rate": 1.0663334863017477e-07, + "loss": 1.001, + "step": 8161 + }, + { + "epoch": 3.46, + "learning_rate": 1.0644309330516039e-07, + "loss": 0.8094, + "step": 8162 + }, + { + "epoch": 3.46, + "learning_rate": 1.0625300161478352e-07, + "loss": 1.3247, + "step": 8163 + }, + { + "epoch": 3.46, + "learning_rate": 1.0606307358136613e-07, + "loss": 1.0221, + "step": 8164 + }, + { + "epoch": 3.46, + "learning_rate": 1.0587330922720922e-07, + "loss": 0.6949, + "step": 8165 + }, + { + "epoch": 3.46, + "learning_rate": 1.056837085745958e-07, + "loss": 0.9218, + "step": 8166 + }, + { + "epoch": 3.46, + "learning_rate": 1.054942716457889e-07, + "loss": 0.8835, + "step": 8167 + }, + { + "epoch": 3.46, + "learning_rate": 1.0530499846303304e-07, + "loss": 0.6671, + "step": 8168 + }, + { + "epoch": 3.46, + "learning_rate": 1.0511588904855247e-07, + "loss": 1.1282, + "step": 8169 + }, + { + "epoch": 3.46, + "learning_rate": 1.0492694342455356e-07, + "loss": 0.7004, + "step": 8170 + }, + { + "epoch": 3.46, + "learning_rate": 1.0473816161322191e-07, + "loss": 1.0867, + "step": 8171 + }, + { + "epoch": 3.47, + "learning_rate": 1.0454954363672564e-07, + "loss": 0.6482, + "step": 8172 + }, + { + "epoch": 3.47, + "learning_rate": 1.0436108951721218e-07, + "loss": 1.0055, + "step": 8173 + }, + { + "epoch": 3.47, + "learning_rate": 1.041727992768105e-07, + "loss": 1.0353, + "step": 8174 + }, + { + "epoch": 3.47, + "learning_rate": 1.0398467293762958e-07, + "loss": 0.8871, + "step": 8175 + }, + { + "epoch": 3.47, + "learning_rate": 1.0379671052176026e-07, + "loss": 0.7796, + "step": 8176 + }, + { + "epoch": 3.47, + "learning_rate": 1.0360891205127304e-07, + "loss": 1.062, + "step": 8177 + }, + { + "epoch": 3.47, + "learning_rate": 1.0342127754821978e-07, + "loss": 0.9882, + "step": 8178 + }, + { + "epoch": 3.47, + "learning_rate": 1.0323380703463303e-07, + "loss": 0.7338, + "step": 8179 + }, + { + "epoch": 3.47, + "learning_rate": 1.0304650053252634e-07, + "loss": 0.883, + "step": 8180 + }, + { + "epoch": 3.47, + "learning_rate": 1.0285935806389296e-07, + "loss": 0.9882, + "step": 8181 + }, + { + "epoch": 3.47, + "learning_rate": 1.0267237965070813e-07, + "loss": 0.9235, + "step": 8182 + }, + { + "epoch": 3.47, + "learning_rate": 1.0248556531492682e-07, + "loss": 1.0763, + "step": 8183 + }, + { + "epoch": 3.47, + "learning_rate": 1.0229891507848577e-07, + "loss": 0.7156, + "step": 8184 + }, + { + "epoch": 3.47, + "learning_rate": 1.0211242896330148e-07, + "loss": 0.9095, + "step": 8185 + }, + { + "epoch": 3.47, + "learning_rate": 1.0192610699127142e-07, + "loss": 0.871, + "step": 8186 + }, + { + "epoch": 3.47, + "learning_rate": 1.017399491842746e-07, + "loss": 0.7414, + "step": 8187 + }, + { + "epoch": 3.47, + "learning_rate": 1.0155395556416936e-07, + "loss": 0.9183, + "step": 8188 + }, + { + "epoch": 3.47, + "learning_rate": 1.0136812615279605e-07, + "loss": 0.739, + "step": 8189 + }, + { + "epoch": 3.47, + "learning_rate": 1.0118246097197475e-07, + "loss": 0.8104, + "step": 8190 + }, + { + "epoch": 3.47, + "learning_rate": 1.0099696004350717e-07, + "loss": 1.0694, + "step": 8191 + }, + { + "epoch": 3.47, + "learning_rate": 1.0081162338917471e-07, + "loss": 1.0035, + "step": 8192 + }, + { + "epoch": 3.47, + "learning_rate": 1.0062645103074031e-07, + "loss": 1.0413, + "step": 8193 + }, + { + "epoch": 3.47, + "learning_rate": 1.0044144298994723e-07, + "loss": 1.1288, + "step": 8194 + }, + { + "epoch": 3.48, + "learning_rate": 1.0025659928851993e-07, + "loss": 0.9712, + "step": 8195 + }, + { + "epoch": 3.48, + "learning_rate": 1.0007191994816272e-07, + "loss": 1.0131, + "step": 8196 + }, + { + "epoch": 3.48, + "learning_rate": 9.988740499056126e-08, + "loss": 0.8924, + "step": 8197 + }, + { + "epoch": 3.48, + "learning_rate": 9.970305443738153e-08, + "loss": 0.7484, + "step": 8198 + }, + { + "epoch": 3.48, + "learning_rate": 9.951886831027091e-08, + "loss": 0.8974, + "step": 8199 + }, + { + "epoch": 3.48, + "learning_rate": 9.933484663085624e-08, + "loss": 1.2936, + "step": 8200 + }, + { + "epoch": 3.48, + "learning_rate": 9.915098942074608e-08, + "loss": 0.747, + "step": 8201 + }, + { + "epoch": 3.48, + "learning_rate": 9.896729670152949e-08, + "loss": 0.8742, + "step": 8202 + }, + { + "epoch": 3.48, + "learning_rate": 9.878376849477622e-08, + "loss": 0.8539, + "step": 8203 + }, + { + "epoch": 3.48, + "learning_rate": 9.860040482203603e-08, + "loss": 0.8113, + "step": 8204 + }, + { + "epoch": 3.48, + "learning_rate": 9.841720570484052e-08, + "loss": 0.9297, + "step": 8205 + }, + { + "epoch": 3.48, + "learning_rate": 9.823417116470085e-08, + "loss": 0.9455, + "step": 8206 + }, + { + "epoch": 3.48, + "learning_rate": 9.805130122310979e-08, + "loss": 1.0083, + "step": 8207 + }, + { + "epoch": 3.48, + "learning_rate": 9.786859590153952e-08, + "loss": 0.8489, + "step": 8208 + }, + { + "epoch": 3.48, + "learning_rate": 9.768605522144486e-08, + "loss": 1.0737, + "step": 8209 + }, + { + "epoch": 3.48, + "learning_rate": 9.750367920425935e-08, + "loss": 0.9969, + "step": 8210 + }, + { + "epoch": 3.48, + "learning_rate": 9.73214678713985e-08, + "loss": 0.9395, + "step": 8211 + }, + { + "epoch": 3.48, + "learning_rate": 9.713942124425757e-08, + "loss": 0.6742, + "step": 8212 + }, + { + "epoch": 3.48, + "learning_rate": 9.695753934421325e-08, + "loss": 0.9259, + "step": 8213 + }, + { + "epoch": 3.48, + "learning_rate": 9.677582219262216e-08, + "loss": 1.2741, + "step": 8214 + }, + { + "epoch": 3.48, + "learning_rate": 9.65942698108222e-08, + "loss": 0.9391, + "step": 8215 + }, + { + "epoch": 3.48, + "learning_rate": 9.641288222013134e-08, + "loss": 0.8847, + "step": 8216 + }, + { + "epoch": 3.48, + "learning_rate": 9.623165944184887e-08, + "loss": 0.6805, + "step": 8217 + }, + { + "epoch": 3.49, + "learning_rate": 9.605060149725458e-08, + "loss": 0.7404, + "step": 8218 + }, + { + "epoch": 3.49, + "learning_rate": 9.5869708407608e-08, + "loss": 1.0781, + "step": 8219 + }, + { + "epoch": 3.49, + "learning_rate": 9.568898019415079e-08, + "loss": 1.0506, + "step": 8220 + }, + { + "epoch": 3.49, + "learning_rate": 9.55084168781038e-08, + "loss": 1.1552, + "step": 8221 + }, + { + "epoch": 3.49, + "learning_rate": 9.532801848066958e-08, + "loss": 1.1232, + "step": 8222 + }, + { + "epoch": 3.49, + "learning_rate": 9.514778502303068e-08, + "loss": 0.9735, + "step": 8223 + }, + { + "epoch": 3.49, + "learning_rate": 9.4967716526351e-08, + "loss": 0.9105, + "step": 8224 + }, + { + "epoch": 3.49, + "learning_rate": 9.478781301177397e-08, + "loss": 0.7769, + "step": 8225 + }, + { + "epoch": 3.49, + "learning_rate": 9.460807450042485e-08, + "loss": 1.0494, + "step": 8226 + }, + { + "epoch": 3.49, + "learning_rate": 9.442850101340845e-08, + "loss": 0.7772, + "step": 8227 + }, + { + "epoch": 3.49, + "learning_rate": 9.424909257181119e-08, + "loss": 1.13, + "step": 8228 + }, + { + "epoch": 3.49, + "learning_rate": 9.406984919669892e-08, + "loss": 0.7286, + "step": 8229 + }, + { + "epoch": 3.49, + "learning_rate": 9.389077090911946e-08, + "loss": 1.1268, + "step": 8230 + }, + { + "epoch": 3.49, + "learning_rate": 9.371185773010016e-08, + "loss": 1.1577, + "step": 8231 + }, + { + "epoch": 3.49, + "learning_rate": 9.353310968065005e-08, + "loss": 0.8939, + "step": 8232 + }, + { + "epoch": 3.49, + "learning_rate": 9.335452678175732e-08, + "loss": 0.7775, + "step": 8233 + }, + { + "epoch": 3.49, + "learning_rate": 9.317610905439222e-08, + "loss": 1.0009, + "step": 8234 + }, + { + "epoch": 3.49, + "learning_rate": 9.299785651950449e-08, + "loss": 0.9931, + "step": 8235 + }, + { + "epoch": 3.49, + "learning_rate": 9.281976919802555e-08, + "loss": 0.8316, + "step": 8236 + }, + { + "epoch": 3.49, + "learning_rate": 9.264184711086599e-08, + "loss": 1.0255, + "step": 8237 + }, + { + "epoch": 3.49, + "learning_rate": 9.246409027891844e-08, + "loss": 0.983, + "step": 8238 + }, + { + "epoch": 3.49, + "learning_rate": 9.228649872305523e-08, + "loss": 0.9173, + "step": 8239 + }, + { + "epoch": 3.49, + "learning_rate": 9.210907246413015e-08, + "loss": 1.1321, + "step": 8240 + }, + { + "epoch": 3.5, + "learning_rate": 9.193181152297603e-08, + "loss": 0.8036, + "step": 8241 + }, + { + "epoch": 3.5, + "learning_rate": 9.175471592040808e-08, + "loss": 0.9015, + "step": 8242 + }, + { + "epoch": 3.5, + "learning_rate": 9.15777856772208e-08, + "loss": 1.0628, + "step": 8243 + }, + { + "epoch": 3.5, + "learning_rate": 9.140102081419011e-08, + "loss": 0.7828, + "step": 8244 + }, + { + "epoch": 3.5, + "learning_rate": 9.122442135207171e-08, + "loss": 0.7388, + "step": 8245 + }, + { + "epoch": 3.5, + "learning_rate": 9.104798731160252e-08, + "loss": 0.8806, + "step": 8246 + }, + { + "epoch": 3.5, + "learning_rate": 9.087171871349997e-08, + "loss": 0.9359, + "step": 8247 + }, + { + "epoch": 3.5, + "learning_rate": 9.069561557846168e-08, + "loss": 0.9073, + "step": 8248 + }, + { + "epoch": 3.5, + "learning_rate": 9.051967792716626e-08, + "loss": 0.6792, + "step": 8249 + }, + { + "epoch": 3.5, + "learning_rate": 9.034390578027269e-08, + "loss": 0.8466, + "step": 8250 + }, + { + "epoch": 3.5, + "learning_rate": 9.016829915842046e-08, + "loss": 0.6195, + "step": 8251 + }, + { + "epoch": 3.5, + "learning_rate": 8.99928580822299e-08, + "loss": 0.6766, + "step": 8252 + }, + { + "epoch": 3.5, + "learning_rate": 8.981758257230122e-08, + "loss": 0.7432, + "step": 8253 + }, + { + "epoch": 3.5, + "learning_rate": 8.96424726492161e-08, + "loss": 0.9625, + "step": 8254 + }, + { + "epoch": 3.5, + "learning_rate": 8.946752833353644e-08, + "loss": 0.8259, + "step": 8255 + }, + { + "epoch": 3.5, + "learning_rate": 8.929274964580414e-08, + "loss": 0.6902, + "step": 8256 + }, + { + "epoch": 3.5, + "learning_rate": 8.91181366065426e-08, + "loss": 0.8434, + "step": 8257 + }, + { + "epoch": 3.5, + "learning_rate": 8.894368923625479e-08, + "loss": 1.1924, + "step": 8258 + }, + { + "epoch": 3.5, + "learning_rate": 8.876940755542528e-08, + "loss": 1.0956, + "step": 8259 + }, + { + "epoch": 3.5, + "learning_rate": 8.85952915845179e-08, + "loss": 1.363, + "step": 8260 + }, + { + "epoch": 3.5, + "learning_rate": 8.842134134397861e-08, + "loss": 0.9451, + "step": 8261 + }, + { + "epoch": 3.5, + "learning_rate": 8.824755685423225e-08, + "loss": 0.8321, + "step": 8262 + }, + { + "epoch": 3.5, + "learning_rate": 8.807393813568582e-08, + "loss": 0.9343, + "step": 8263 + }, + { + "epoch": 3.5, + "learning_rate": 8.790048520872518e-08, + "loss": 0.9016, + "step": 8264 + }, + { + "epoch": 3.51, + "learning_rate": 8.77271980937182e-08, + "loss": 0.8423, + "step": 8265 + }, + { + "epoch": 3.51, + "learning_rate": 8.755407681101213e-08, + "loss": 1.0726, + "step": 8266 + }, + { + "epoch": 3.51, + "learning_rate": 8.738112138093569e-08, + "loss": 0.6999, + "step": 8267 + }, + { + "epoch": 3.51, + "learning_rate": 8.720833182379728e-08, + "loss": 0.5363, + "step": 8268 + }, + { + "epoch": 3.51, + "learning_rate": 8.703570815988688e-08, + "loss": 0.6706, + "step": 8269 + }, + { + "epoch": 3.51, + "learning_rate": 8.686325040947373e-08, + "loss": 0.7862, + "step": 8270 + }, + { + "epoch": 3.51, + "learning_rate": 8.669095859280867e-08, + "loss": 1.1383, + "step": 8271 + }, + { + "epoch": 3.51, + "learning_rate": 8.651883273012217e-08, + "loss": 0.9364, + "step": 8272 + }, + { + "epoch": 3.51, + "learning_rate": 8.634687284162623e-08, + "loss": 0.9066, + "step": 8273 + }, + { + "epoch": 3.51, + "learning_rate": 8.617507894751203e-08, + "loss": 0.8042, + "step": 8274 + }, + { + "epoch": 3.51, + "learning_rate": 8.600345106795244e-08, + "loss": 0.7071, + "step": 8275 + }, + { + "epoch": 3.51, + "learning_rate": 8.583198922310031e-08, + "loss": 1.0182, + "step": 8276 + }, + { + "epoch": 3.51, + "learning_rate": 8.566069343308941e-08, + "loss": 0.9526, + "step": 8277 + }, + { + "epoch": 3.51, + "learning_rate": 8.548956371803312e-08, + "loss": 1.1871, + "step": 8278 + }, + { + "epoch": 3.51, + "learning_rate": 8.531860009802638e-08, + "loss": 1.1514, + "step": 8279 + }, + { + "epoch": 3.51, + "learning_rate": 8.514780259314381e-08, + "loss": 0.8522, + "step": 8280 + }, + { + "epoch": 3.51, + "learning_rate": 8.497717122344101e-08, + "loss": 0.8229, + "step": 8281 + }, + { + "epoch": 3.51, + "learning_rate": 8.480670600895363e-08, + "loss": 0.8172, + "step": 8282 + }, + { + "epoch": 3.51, + "learning_rate": 8.463640696969815e-08, + "loss": 0.9212, + "step": 8283 + }, + { + "epoch": 3.51, + "learning_rate": 8.446627412567209e-08, + "loss": 1.027, + "step": 8284 + }, + { + "epoch": 3.51, + "learning_rate": 8.429630749685197e-08, + "loss": 0.9272, + "step": 8285 + }, + { + "epoch": 3.51, + "learning_rate": 8.412650710319631e-08, + "loss": 1.2681, + "step": 8286 + }, + { + "epoch": 3.51, + "learning_rate": 8.395687296464282e-08, + "loss": 1.026, + "step": 8287 + }, + { + "epoch": 3.52, + "learning_rate": 8.37874051011111e-08, + "loss": 0.7641, + "step": 8288 + }, + { + "epoch": 3.52, + "learning_rate": 8.361810353249988e-08, + "loss": 1.3275, + "step": 8289 + }, + { + "epoch": 3.52, + "learning_rate": 8.344896827868893e-08, + "loss": 0.7674, + "step": 8290 + }, + { + "epoch": 3.52, + "learning_rate": 8.327999935953884e-08, + "loss": 0.9414, + "step": 8291 + }, + { + "epoch": 3.52, + "learning_rate": 8.311119679489027e-08, + "loss": 0.9586, + "step": 8292 + }, + { + "epoch": 3.52, + "learning_rate": 8.294256060456418e-08, + "loss": 0.9437, + "step": 8293 + }, + { + "epoch": 3.52, + "learning_rate": 8.27740908083624e-08, + "loss": 0.9089, + "step": 8294 + }, + { + "epoch": 3.52, + "learning_rate": 8.260578742606694e-08, + "loss": 1.2341, + "step": 8295 + }, + { + "epoch": 3.52, + "learning_rate": 8.243765047744051e-08, + "loss": 0.8261, + "step": 8296 + }, + { + "epoch": 3.52, + "learning_rate": 8.226967998222562e-08, + "loss": 1.0203, + "step": 8297 + }, + { + "epoch": 3.52, + "learning_rate": 8.210187596014668e-08, + "loss": 0.7324, + "step": 8298 + }, + { + "epoch": 3.52, + "learning_rate": 8.193423843090674e-08, + "loss": 0.7473, + "step": 8299 + }, + { + "epoch": 3.52, + "learning_rate": 8.176676741419093e-08, + "loss": 0.8964, + "step": 8300 + }, + { + "epoch": 3.52, + "learning_rate": 8.159946292966331e-08, + "loss": 1.1637, + "step": 8301 + }, + { + "epoch": 3.52, + "learning_rate": 8.143232499696984e-08, + "loss": 1.2423, + "step": 8302 + }, + { + "epoch": 3.52, + "learning_rate": 8.126535363573567e-08, + "loss": 1.0031, + "step": 8303 + }, + { + "epoch": 3.52, + "learning_rate": 8.109854886556761e-08, + "loss": 0.8102, + "step": 8304 + }, + { + "epoch": 3.52, + "learning_rate": 8.093191070605116e-08, + "loss": 0.6537, + "step": 8305 + }, + { + "epoch": 3.52, + "learning_rate": 8.076543917675467e-08, + "loss": 0.7528, + "step": 8306 + }, + { + "epoch": 3.52, + "learning_rate": 8.059913429722482e-08, + "loss": 0.9831, + "step": 8307 + }, + { + "epoch": 3.52, + "learning_rate": 8.043299608698984e-08, + "loss": 1.0314, + "step": 8308 + }, + { + "epoch": 3.52, + "learning_rate": 8.026702456555779e-08, + "loss": 0.7549, + "step": 8309 + }, + { + "epoch": 3.52, + "learning_rate": 8.010121975241758e-08, + "loss": 1.4158, + "step": 8310 + }, + { + "epoch": 3.53, + "learning_rate": 7.99355816670383e-08, + "loss": 0.8292, + "step": 8311 + }, + { + "epoch": 3.53, + "learning_rate": 7.977011032886955e-08, + "loss": 0.7809, + "step": 8312 + }, + { + "epoch": 3.53, + "learning_rate": 7.960480575734163e-08, + "loss": 0.8593, + "step": 8313 + }, + { + "epoch": 3.53, + "learning_rate": 7.943966797186453e-08, + "loss": 0.8476, + "step": 8314 + }, + { + "epoch": 3.53, + "learning_rate": 7.927469699182955e-08, + "loss": 0.7128, + "step": 8315 + }, + { + "epoch": 3.53, + "learning_rate": 7.910989283660752e-08, + "loss": 1.4293, + "step": 8316 + }, + { + "epoch": 3.53, + "learning_rate": 7.894525552555065e-08, + "loss": 0.8513, + "step": 8317 + }, + { + "epoch": 3.53, + "learning_rate": 7.878078507799046e-08, + "loss": 0.8266, + "step": 8318 + }, + { + "epoch": 3.53, + "learning_rate": 7.861648151323969e-08, + "loss": 0.8882, + "step": 8319 + }, + { + "epoch": 3.53, + "learning_rate": 7.845234485059138e-08, + "loss": 0.7134, + "step": 8320 + }, + { + "epoch": 3.53, + "learning_rate": 7.82883751093188e-08, + "loss": 0.9921, + "step": 8321 + }, + { + "epoch": 3.53, + "learning_rate": 7.812457230867537e-08, + "loss": 0.9772, + "step": 8322 + }, + { + "epoch": 3.53, + "learning_rate": 7.79609364678957e-08, + "loss": 1.1085, + "step": 8323 + }, + { + "epoch": 3.53, + "learning_rate": 7.779746760619361e-08, + "loss": 0.8301, + "step": 8324 + }, + { + "epoch": 3.53, + "learning_rate": 7.763416574276472e-08, + "loss": 0.8964, + "step": 8325 + }, + { + "epoch": 3.53, + "learning_rate": 7.74710308967837e-08, + "loss": 0.8491, + "step": 8326 + }, + { + "epoch": 3.53, + "learning_rate": 7.73080630874064e-08, + "loss": 0.9973, + "step": 8327 + }, + { + "epoch": 3.53, + "learning_rate": 7.714526233376884e-08, + "loss": 0.8597, + "step": 8328 + }, + { + "epoch": 3.53, + "learning_rate": 7.69826286549879e-08, + "loss": 1.0851, + "step": 8329 + }, + { + "epoch": 3.53, + "learning_rate": 7.682016207015979e-08, + "loss": 0.8887, + "step": 8330 + }, + { + "epoch": 3.53, + "learning_rate": 7.66578625983621e-08, + "loss": 0.9078, + "step": 8331 + }, + { + "epoch": 3.53, + "learning_rate": 7.649573025865226e-08, + "loss": 1.1603, + "step": 8332 + }, + { + "epoch": 3.53, + "learning_rate": 7.633376507006818e-08, + "loss": 1.0197, + "step": 8333 + }, + { + "epoch": 3.54, + "learning_rate": 7.617196705162816e-08, + "loss": 1.247, + "step": 8334 + }, + { + "epoch": 3.54, + "learning_rate": 7.6010336222331e-08, + "loss": 1.079, + "step": 8335 + }, + { + "epoch": 3.54, + "learning_rate": 7.58488726011557e-08, + "loss": 1.0963, + "step": 8336 + }, + { + "epoch": 3.54, + "learning_rate": 7.568757620706191e-08, + "loss": 0.7698, + "step": 8337 + }, + { + "epoch": 3.54, + "learning_rate": 7.552644705898898e-08, + "loss": 1.2486, + "step": 8338 + }, + { + "epoch": 3.54, + "learning_rate": 7.536548517585745e-08, + "loss": 0.9333, + "step": 8339 + }, + { + "epoch": 3.54, + "learning_rate": 7.520469057656754e-08, + "loss": 0.9126, + "step": 8340 + }, + { + "epoch": 3.54, + "learning_rate": 7.504406328000063e-08, + "loss": 1.0968, + "step": 8341 + }, + { + "epoch": 3.54, + "learning_rate": 7.488360330501715e-08, + "loss": 1.157, + "step": 8342 + }, + { + "epoch": 3.54, + "learning_rate": 7.472331067045917e-08, + "loss": 0.739, + "step": 8343 + }, + { + "epoch": 3.54, + "learning_rate": 7.456318539514884e-08, + "loss": 1.0083, + "step": 8344 + }, + { + "epoch": 3.54, + "learning_rate": 7.440322749788791e-08, + "loss": 0.7684, + "step": 8345 + }, + { + "epoch": 3.54, + "learning_rate": 7.424343699745923e-08, + "loss": 1.2133, + "step": 8346 + }, + { + "epoch": 3.54, + "learning_rate": 7.408381391262592e-08, + "loss": 0.9487, + "step": 8347 + }, + { + "epoch": 3.54, + "learning_rate": 7.3924358262131e-08, + "loss": 0.7651, + "step": 8348 + }, + { + "epoch": 3.54, + "learning_rate": 7.376507006469835e-08, + "loss": 1.278, + "step": 8349 + }, + { + "epoch": 3.54, + "learning_rate": 7.360594933903197e-08, + "loss": 0.9506, + "step": 8350 + }, + { + "epoch": 3.54, + "learning_rate": 7.344699610381594e-08, + "loss": 0.9858, + "step": 8351 + }, + { + "epoch": 3.54, + "learning_rate": 7.328821037771516e-08, + "loss": 0.6992, + "step": 8352 + }, + { + "epoch": 3.54, + "learning_rate": 7.312959217937438e-08, + "loss": 0.877, + "step": 8353 + }, + { + "epoch": 3.54, + "learning_rate": 7.297114152741918e-08, + "loss": 0.8475, + "step": 8354 + }, + { + "epoch": 3.54, + "learning_rate": 7.281285844045488e-08, + "loss": 0.8568, + "step": 8355 + }, + { + "epoch": 3.54, + "learning_rate": 7.265474293706792e-08, + "loss": 0.8147, + "step": 8356 + }, + { + "epoch": 3.55, + "learning_rate": 7.249679503582379e-08, + "loss": 0.9619, + "step": 8357 + }, + { + "epoch": 3.55, + "learning_rate": 7.233901475527e-08, + "loss": 0.9014, + "step": 8358 + }, + { + "epoch": 3.55, + "learning_rate": 7.21814021139327e-08, + "loss": 0.7109, + "step": 8359 + }, + { + "epoch": 3.55, + "learning_rate": 7.202395713031995e-08, + "loss": 1.1054, + "step": 8360 + }, + { + "epoch": 3.55, + "learning_rate": 7.186667982291844e-08, + "loss": 1.0332, + "step": 8361 + }, + { + "epoch": 3.55, + "learning_rate": 7.170957021019659e-08, + "loss": 0.702, + "step": 8362 + }, + { + "epoch": 3.55, + "learning_rate": 7.155262831060243e-08, + "loss": 0.726, + "step": 8363 + }, + { + "epoch": 3.55, + "learning_rate": 7.139585414256411e-08, + "loss": 0.8488, + "step": 8364 + }, + { + "epoch": 3.55, + "learning_rate": 7.123924772449087e-08, + "loss": 0.8573, + "step": 8365 + }, + { + "epoch": 3.55, + "learning_rate": 7.108280907477183e-08, + "loss": 0.8022, + "step": 8366 + }, + { + "epoch": 3.55, + "learning_rate": 7.092653821177597e-08, + "loss": 0.7375, + "step": 8367 + }, + { + "epoch": 3.55, + "learning_rate": 7.077043515385346e-08, + "loss": 1.013, + "step": 8368 + }, + { + "epoch": 3.55, + "learning_rate": 7.061449991933377e-08, + "loss": 0.8811, + "step": 8369 + }, + { + "epoch": 3.55, + "learning_rate": 7.045873252652746e-08, + "loss": 0.8237, + "step": 8370 + }, + { + "epoch": 3.55, + "learning_rate": 7.030313299372487e-08, + "loss": 0.7908, + "step": 8371 + }, + { + "epoch": 3.55, + "learning_rate": 7.014770133919707e-08, + "loss": 0.8425, + "step": 8372 + }, + { + "epoch": 3.55, + "learning_rate": 6.999243758119545e-08, + "loss": 0.906, + "step": 8373 + }, + { + "epoch": 3.55, + "learning_rate": 6.983734173795076e-08, + "loss": 1.0608, + "step": 8374 + }, + { + "epoch": 3.55, + "learning_rate": 6.96824138276751e-08, + "loss": 0.7869, + "step": 8375 + }, + { + "epoch": 3.55, + "learning_rate": 6.952765386856075e-08, + "loss": 0.8237, + "step": 8376 + }, + { + "epoch": 3.55, + "learning_rate": 6.937306187877934e-08, + "loss": 0.8772, + "step": 8377 + }, + { + "epoch": 3.55, + "learning_rate": 6.921863787648403e-08, + "loss": 0.9472, + "step": 8378 + }, + { + "epoch": 3.55, + "learning_rate": 6.906438187980712e-08, + "loss": 0.6658, + "step": 8379 + }, + { + "epoch": 3.56, + "learning_rate": 6.891029390686198e-08, + "loss": 1.2975, + "step": 8380 + }, + { + "epoch": 3.56, + "learning_rate": 6.875637397574197e-08, + "loss": 0.7941, + "step": 8381 + }, + { + "epoch": 3.56, + "learning_rate": 6.860262210452062e-08, + "loss": 0.8725, + "step": 8382 + }, + { + "epoch": 3.56, + "learning_rate": 6.844903831125198e-08, + "loss": 1.1382, + "step": 8383 + }, + { + "epoch": 3.56, + "learning_rate": 6.829562261396999e-08, + "loss": 0.5901, + "step": 8384 + }, + { + "epoch": 3.56, + "learning_rate": 6.814237503068938e-08, + "loss": 0.8521, + "step": 8385 + }, + { + "epoch": 3.56, + "learning_rate": 6.798929557940442e-08, + "loss": 0.7259, + "step": 8386 + }, + { + "epoch": 3.56, + "learning_rate": 6.783638427809041e-08, + "loss": 1.0752, + "step": 8387 + }, + { + "epoch": 3.56, + "learning_rate": 6.768364114470232e-08, + "loss": 0.8838, + "step": 8388 + }, + { + "epoch": 3.56, + "learning_rate": 6.753106619717581e-08, + "loss": 0.8939, + "step": 8389 + }, + { + "epoch": 3.56, + "learning_rate": 6.737865945342636e-08, + "loss": 1.0583, + "step": 8390 + }, + { + "epoch": 3.56, + "learning_rate": 6.722642093135e-08, + "loss": 0.8955, + "step": 8391 + }, + { + "epoch": 3.56, + "learning_rate": 6.707435064882294e-08, + "loss": 1.0727, + "step": 8392 + }, + { + "epoch": 3.56, + "learning_rate": 6.692244862370189e-08, + "loss": 0.9509, + "step": 8393 + }, + { + "epoch": 3.56, + "learning_rate": 6.677071487382275e-08, + "loss": 1.2099, + "step": 8394 + }, + { + "epoch": 3.56, + "learning_rate": 6.661914941700326e-08, + "loss": 0.9167, + "step": 8395 + }, + { + "epoch": 3.56, + "learning_rate": 6.646775227104018e-08, + "loss": 0.9606, + "step": 8396 + }, + { + "epoch": 3.56, + "learning_rate": 6.63165234537113e-08, + "loss": 1.1433, + "step": 8397 + }, + { + "epoch": 3.56, + "learning_rate": 6.61654629827736e-08, + "loss": 0.8918, + "step": 8398 + }, + { + "epoch": 3.56, + "learning_rate": 6.601457087596552e-08, + "loss": 1.1584, + "step": 8399 + }, + { + "epoch": 3.56, + "learning_rate": 6.58638471510049e-08, + "loss": 0.9001, + "step": 8400 + }, + { + "epoch": 3.56, + "learning_rate": 6.571329182559011e-08, + "loss": 0.6961, + "step": 8401 + }, + { + "epoch": 3.56, + "learning_rate": 6.556290491739947e-08, + "loss": 0.7747, + "step": 8402 + }, + { + "epoch": 3.56, + "learning_rate": 6.54126864440922e-08, + "loss": 0.9507, + "step": 8403 + }, + { + "epoch": 3.57, + "learning_rate": 6.526263642330704e-08, + "loss": 1.02, + "step": 8404 + }, + { + "epoch": 3.57, + "learning_rate": 6.511275487266339e-08, + "loss": 0.9469, + "step": 8405 + }, + { + "epoch": 3.57, + "learning_rate": 6.496304180976031e-08, + "loss": 0.9928, + "step": 8406 + }, + { + "epoch": 3.57, + "learning_rate": 6.481349725217795e-08, + "loss": 0.6779, + "step": 8407 + }, + { + "epoch": 3.57, + "learning_rate": 6.466412121747573e-08, + "loss": 0.9964, + "step": 8408 + }, + { + "epoch": 3.57, + "learning_rate": 6.451491372319379e-08, + "loss": 0.9912, + "step": 8409 + }, + { + "epoch": 3.57, + "learning_rate": 6.436587478685279e-08, + "loss": 0.8917, + "step": 8410 + }, + { + "epoch": 3.57, + "learning_rate": 6.421700442595274e-08, + "loss": 0.9676, + "step": 8411 + }, + { + "epoch": 3.57, + "learning_rate": 6.406830265797481e-08, + "loss": 1.2023, + "step": 8412 + }, + { + "epoch": 3.57, + "learning_rate": 6.391976950037937e-08, + "loss": 0.9244, + "step": 8413 + }, + { + "epoch": 3.57, + "learning_rate": 6.377140497060797e-08, + "loss": 0.6054, + "step": 8414 + }, + { + "epoch": 3.57, + "learning_rate": 6.362320908608166e-08, + "loss": 0.8692, + "step": 8415 + }, + { + "epoch": 3.57, + "learning_rate": 6.347518186420187e-08, + "loss": 0.9078, + "step": 8416 + }, + { + "epoch": 3.57, + "learning_rate": 6.332732332235053e-08, + "loss": 1.1512, + "step": 8417 + }, + { + "epoch": 3.57, + "learning_rate": 6.317963347788958e-08, + "loss": 0.6742, + "step": 8418 + }, + { + "epoch": 3.57, + "learning_rate": 6.303211234816097e-08, + "loss": 0.8164, + "step": 8419 + }, + { + "epoch": 3.57, + "learning_rate": 6.288475995048703e-08, + "loss": 1.0405, + "step": 8420 + }, + { + "epoch": 3.57, + "learning_rate": 6.273757630216992e-08, + "loss": 0.7927, + "step": 8421 + }, + { + "epoch": 3.57, + "learning_rate": 6.259056142049264e-08, + "loss": 0.9438, + "step": 8422 + }, + { + "epoch": 3.57, + "learning_rate": 6.244371532271787e-08, + "loss": 0.8863, + "step": 8423 + }, + { + "epoch": 3.57, + "learning_rate": 6.229703802608849e-08, + "loss": 1.115, + "step": 8424 + }, + { + "epoch": 3.57, + "learning_rate": 6.21505295478279e-08, + "loss": 1.0427, + "step": 8425 + }, + { + "epoch": 3.57, + "learning_rate": 6.20041899051395e-08, + "loss": 0.7749, + "step": 8426 + }, + { + "epoch": 3.58, + "learning_rate": 6.185801911520655e-08, + "loss": 1.0596, + "step": 8427 + }, + { + "epoch": 3.58, + "learning_rate": 6.171201719519314e-08, + "loss": 0.9208, + "step": 8428 + }, + { + "epoch": 3.58, + "learning_rate": 6.156618416224257e-08, + "loss": 1.1832, + "step": 8429 + }, + { + "epoch": 3.58, + "learning_rate": 6.142052003347965e-08, + "loss": 1.2347, + "step": 8430 + }, + { + "epoch": 3.58, + "learning_rate": 6.127502482600766e-08, + "loss": 0.7118, + "step": 8431 + }, + { + "epoch": 3.58, + "learning_rate": 6.112969855691197e-08, + "loss": 0.8141, + "step": 8432 + }, + { + "epoch": 3.58, + "learning_rate": 6.098454124325642e-08, + "loss": 1.0483, + "step": 8433 + }, + { + "epoch": 3.58, + "learning_rate": 6.083955290208621e-08, + "loss": 0.6485, + "step": 8434 + }, + { + "epoch": 3.58, + "learning_rate": 6.069473355042571e-08, + "loss": 0.6876, + "step": 8435 + }, + { + "epoch": 3.58, + "learning_rate": 6.055008320528032e-08, + "loss": 0.9207, + "step": 8436 + }, + { + "epoch": 3.58, + "learning_rate": 6.040560188363497e-08, + "loss": 0.7843, + "step": 8437 + }, + { + "epoch": 3.58, + "learning_rate": 6.026128960245508e-08, + "loss": 0.9024, + "step": 8438 + }, + { + "epoch": 3.58, + "learning_rate": 6.01171463786861e-08, + "loss": 1.0193, + "step": 8439 + }, + { + "epoch": 3.58, + "learning_rate": 5.99731722292538e-08, + "loss": 0.873, + "step": 8440 + }, + { + "epoch": 3.58, + "learning_rate": 5.982936717106386e-08, + "loss": 1.1974, + "step": 8441 + }, + { + "epoch": 3.58, + "learning_rate": 5.968573122100207e-08, + "loss": 0.8163, + "step": 8442 + }, + { + "epoch": 3.58, + "learning_rate": 5.95422643959348e-08, + "loss": 0.9197, + "step": 8443 + }, + { + "epoch": 3.58, + "learning_rate": 5.9398966712707727e-08, + "loss": 1.2268, + "step": 8444 + }, + { + "epoch": 3.58, + "learning_rate": 5.925583818814773e-08, + "loss": 1.076, + "step": 8445 + }, + { + "epoch": 3.58, + "learning_rate": 5.9112878839061026e-08, + "loss": 1.2022, + "step": 8446 + }, + { + "epoch": 3.58, + "learning_rate": 5.8970088682234356e-08, + "loss": 0.8291, + "step": 8447 + }, + { + "epoch": 3.58, + "learning_rate": 5.882746773443432e-08, + "loss": 0.9796, + "step": 8448 + }, + { + "epoch": 3.58, + "learning_rate": 5.8685016012408e-08, + "loss": 0.8986, + "step": 8449 + }, + { + "epoch": 3.59, + "learning_rate": 5.8542733532882034e-08, + "loss": 1.0445, + "step": 8450 + }, + { + "epoch": 3.59, + "learning_rate": 5.8400620312564044e-08, + "loss": 0.7261, + "step": 8451 + }, + { + "epoch": 3.59, + "learning_rate": 5.825867636814086e-08, + "loss": 1.1364, + "step": 8452 + }, + { + "epoch": 3.59, + "learning_rate": 5.811690171628031e-08, + "loss": 0.614, + "step": 8453 + }, + { + "epoch": 3.59, + "learning_rate": 5.797529637362925e-08, + "loss": 1.1693, + "step": 8454 + }, + { + "epoch": 3.59, + "learning_rate": 5.7833860356815874e-08, + "loss": 1.1905, + "step": 8455 + }, + { + "epoch": 3.59, + "learning_rate": 5.769259368244773e-08, + "loss": 0.7882, + "step": 8456 + }, + { + "epoch": 3.59, + "learning_rate": 5.755149636711271e-08, + "loss": 0.8654, + "step": 8457 + }, + { + "epoch": 3.59, + "learning_rate": 5.741056842737874e-08, + "loss": 0.8335, + "step": 8458 + }, + { + "epoch": 3.59, + "learning_rate": 5.726980987979391e-08, + "loss": 1.188, + "step": 8459 + }, + { + "epoch": 3.59, + "learning_rate": 5.712922074088634e-08, + "loss": 1.1148, + "step": 8460 + }, + { + "epoch": 3.59, + "learning_rate": 5.6988801027164473e-08, + "loss": 0.9229, + "step": 8461 + }, + { + "epoch": 3.59, + "learning_rate": 5.684855075511647e-08, + "loss": 0.8249, + "step": 8462 + }, + { + "epoch": 3.59, + "learning_rate": 5.670846994121132e-08, + "loss": 1.3732, + "step": 8463 + }, + { + "epoch": 3.59, + "learning_rate": 5.6568558601897026e-08, + "loss": 1.1985, + "step": 8464 + }, + { + "epoch": 3.59, + "learning_rate": 5.642881675360295e-08, + "loss": 0.9308, + "step": 8465 + }, + { + "epoch": 3.59, + "learning_rate": 5.628924441273714e-08, + "loss": 0.9985, + "step": 8466 + }, + { + "epoch": 3.59, + "learning_rate": 5.614984159568931e-08, + "loss": 0.9986, + "step": 8467 + }, + { + "epoch": 3.59, + "learning_rate": 5.6010608318827706e-08, + "loss": 0.5144, + "step": 8468 + }, + { + "epoch": 3.59, + "learning_rate": 5.587154459850175e-08, + "loss": 0.7761, + "step": 8469 + }, + { + "epoch": 3.59, + "learning_rate": 5.573265045104087e-08, + "loss": 0.7002, + "step": 8470 + }, + { + "epoch": 3.59, + "learning_rate": 5.5593925892754026e-08, + "loss": 0.6506, + "step": 8471 + }, + { + "epoch": 3.59, + "learning_rate": 5.5455370939930526e-08, + "loss": 0.6842, + "step": 8472 + }, + { + "epoch": 3.6, + "learning_rate": 5.531698560884002e-08, + "loss": 0.8559, + "step": 8473 + }, + { + "epoch": 3.6, + "learning_rate": 5.517876991573184e-08, + "loss": 0.8934, + "step": 8474 + }, + { + "epoch": 3.6, + "learning_rate": 5.504072387683584e-08, + "loss": 1.2282, + "step": 8475 + }, + { + "epoch": 3.6, + "learning_rate": 5.490284750836155e-08, + "loss": 0.5205, + "step": 8476 + }, + { + "epoch": 3.6, + "learning_rate": 5.4765140826498525e-08, + "loss": 1.0146, + "step": 8477 + }, + { + "epoch": 3.6, + "learning_rate": 5.4627603847417e-08, + "loss": 0.8513, + "step": 8478 + }, + { + "epoch": 3.6, + "learning_rate": 5.449023658726654e-08, + "loss": 0.9266, + "step": 8479 + }, + { + "epoch": 3.6, + "learning_rate": 5.4353039062177426e-08, + "loss": 0.5982, + "step": 8480 + }, + { + "epoch": 3.6, + "learning_rate": 5.421601128825943e-08, + "loss": 0.8326, + "step": 8481 + }, + { + "epoch": 3.6, + "learning_rate": 5.407915328160284e-08, + "loss": 1.0999, + "step": 8482 + }, + { + "epoch": 3.6, + "learning_rate": 5.394246505827749e-08, + "loss": 0.8421, + "step": 8483 + }, + { + "epoch": 3.6, + "learning_rate": 5.380594663433419e-08, + "loss": 0.841, + "step": 8484 + }, + { + "epoch": 3.6, + "learning_rate": 5.3669598025802954e-08, + "loss": 1.0148, + "step": 8485 + }, + { + "epoch": 3.6, + "learning_rate": 5.3533419248694146e-08, + "loss": 0.855, + "step": 8486 + }, + { + "epoch": 3.6, + "learning_rate": 5.3397410318998143e-08, + "loss": 1.3072, + "step": 8487 + }, + { + "epoch": 3.6, + "learning_rate": 5.3261571252685495e-08, + "loss": 1.0213, + "step": 8488 + }, + { + "epoch": 3.6, + "learning_rate": 5.312590206570678e-08, + "loss": 0.7135, + "step": 8489 + }, + { + "epoch": 3.6, + "learning_rate": 5.2990402773992584e-08, + "loss": 1.0423, + "step": 8490 + }, + { + "epoch": 3.6, + "learning_rate": 5.285507339345319e-08, + "loss": 0.7976, + "step": 8491 + }, + { + "epoch": 3.6, + "learning_rate": 5.271991393997988e-08, + "loss": 0.9148, + "step": 8492 + }, + { + "epoch": 3.6, + "learning_rate": 5.258492442944279e-08, + "loss": 1.0979, + "step": 8493 + }, + { + "epoch": 3.6, + "learning_rate": 5.245010487769325e-08, + "loss": 1.3426, + "step": 8494 + }, + { + "epoch": 3.6, + "learning_rate": 5.231545530056175e-08, + "loss": 0.7344, + "step": 8495 + }, + { + "epoch": 3.61, + "learning_rate": 5.218097571385932e-08, + "loss": 1.1662, + "step": 8496 + }, + { + "epoch": 3.61, + "learning_rate": 5.204666613337666e-08, + "loss": 1.2613, + "step": 8497 + }, + { + "epoch": 3.61, + "learning_rate": 5.1912526574884654e-08, + "loss": 1.1096, + "step": 8498 + }, + { + "epoch": 3.61, + "learning_rate": 5.1778557054134535e-08, + "loss": 0.7957, + "step": 8499 + }, + { + "epoch": 3.61, + "learning_rate": 5.164475758685738e-08, + "loss": 1.0213, + "step": 8500 + }, + { + "epoch": 3.61, + "learning_rate": 5.151112818876397e-08, + "loss": 0.944, + "step": 8501 + }, + { + "epoch": 3.61, + "learning_rate": 5.137766887554557e-08, + "loss": 0.8483, + "step": 8502 + }, + { + "epoch": 3.61, + "learning_rate": 5.1244379662872987e-08, + "loss": 1.2818, + "step": 8503 + }, + { + "epoch": 3.61, + "learning_rate": 5.11112605663977e-08, + "loss": 0.9958, + "step": 8504 + }, + { + "epoch": 3.61, + "learning_rate": 5.097831160175054e-08, + "loss": 0.9647, + "step": 8505 + }, + { + "epoch": 3.61, + "learning_rate": 5.084553278454268e-08, + "loss": 0.714, + "step": 8506 + }, + { + "epoch": 3.61, + "learning_rate": 5.071292413036582e-08, + "loss": 1.1546, + "step": 8507 + }, + { + "epoch": 3.61, + "learning_rate": 5.058048565479051e-08, + "loss": 1.149, + "step": 8508 + }, + { + "epoch": 3.61, + "learning_rate": 5.0448217373368466e-08, + "loss": 1.1446, + "step": 8509 + }, + { + "epoch": 3.61, + "learning_rate": 5.03161193016306e-08, + "loss": 0.8027, + "step": 8510 + }, + { + "epoch": 3.61, + "learning_rate": 5.0184191455088514e-08, + "loss": 0.8564, + "step": 8511 + }, + { + "epoch": 3.61, + "learning_rate": 5.0052433849233135e-08, + "loss": 0.8631, + "step": 8512 + }, + { + "epoch": 3.61, + "learning_rate": 4.9920846499535766e-08, + "loss": 0.7727, + "step": 8513 + }, + { + "epoch": 3.61, + "learning_rate": 4.978942942144787e-08, + "loss": 0.7541, + "step": 8514 + }, + { + "epoch": 3.61, + "learning_rate": 4.965818263040078e-08, + "loss": 0.7335, + "step": 8515 + }, + { + "epoch": 3.61, + "learning_rate": 4.952710614180567e-08, + "loss": 0.8358, + "step": 8516 + }, + { + "epoch": 3.61, + "learning_rate": 4.939619997105388e-08, + "loss": 1.0039, + "step": 8517 + }, + { + "epoch": 3.61, + "learning_rate": 4.9265464133516626e-08, + "loss": 1.1221, + "step": 8518 + }, + { + "epoch": 3.62, + "learning_rate": 4.9134898644545456e-08, + "loss": 0.9784, + "step": 8519 + }, + { + "epoch": 3.62, + "learning_rate": 4.9004503519471276e-08, + "loss": 1.0247, + "step": 8520 + }, + { + "epoch": 3.62, + "learning_rate": 4.8874278773605673e-08, + "loss": 0.5237, + "step": 8521 + }, + { + "epoch": 3.62, + "learning_rate": 4.8744224422239745e-08, + "loss": 0.72, + "step": 8522 + }, + { + "epoch": 3.62, + "learning_rate": 4.861434048064512e-08, + "loss": 0.8081, + "step": 8523 + }, + { + "epoch": 3.62, + "learning_rate": 4.848462696407258e-08, + "loss": 0.8609, + "step": 8524 + }, + { + "epoch": 3.62, + "learning_rate": 4.8355083887753946e-08, + "loss": 0.8438, + "step": 8525 + }, + { + "epoch": 3.62, + "learning_rate": 4.82257112668999e-08, + "loss": 0.8844, + "step": 8526 + }, + { + "epoch": 3.62, + "learning_rate": 4.8096509116702105e-08, + "loss": 0.7924, + "step": 8527 + }, + { + "epoch": 3.62, + "learning_rate": 4.796747745233126e-08, + "loss": 0.5921, + "step": 8528 + }, + { + "epoch": 3.62, + "learning_rate": 4.783861628893926e-08, + "loss": 0.83, + "step": 8529 + }, + { + "epoch": 3.62, + "learning_rate": 4.770992564165666e-08, + "loss": 0.9513, + "step": 8530 + }, + { + "epoch": 3.62, + "learning_rate": 4.7581405525595036e-08, + "loss": 1.1084, + "step": 8531 + }, + { + "epoch": 3.62, + "learning_rate": 4.745305595584515e-08, + "loss": 0.9385, + "step": 8532 + }, + { + "epoch": 3.62, + "learning_rate": 4.732487694747861e-08, + "loss": 0.7757, + "step": 8533 + }, + { + "epoch": 3.62, + "learning_rate": 4.719686851554572e-08, + "loss": 0.7964, + "step": 8534 + }, + { + "epoch": 3.62, + "learning_rate": 4.706903067507828e-08, + "loss": 0.9851, + "step": 8535 + }, + { + "epoch": 3.62, + "learning_rate": 4.694136344108696e-08, + "loss": 1.2207, + "step": 8536 + }, + { + "epoch": 3.62, + "learning_rate": 4.681386682856259e-08, + "loss": 1.1872, + "step": 8537 + }, + { + "epoch": 3.62, + "learning_rate": 4.6686540852476536e-08, + "loss": 1.1458, + "step": 8538 + }, + { + "epoch": 3.62, + "learning_rate": 4.655938552777916e-08, + "loss": 0.6885, + "step": 8539 + }, + { + "epoch": 3.62, + "learning_rate": 4.643240086940204e-08, + "loss": 1.1081, + "step": 8540 + }, + { + "epoch": 3.62, + "learning_rate": 4.630558689225523e-08, + "loss": 1.0812, + "step": 8541 + }, + { + "epoch": 3.62, + "learning_rate": 4.617894361123015e-08, + "loss": 0.9982, + "step": 8542 + }, + { + "epoch": 3.63, + "learning_rate": 4.605247104119675e-08, + "loss": 0.9529, + "step": 8543 + }, + { + "epoch": 3.63, + "learning_rate": 4.5926169197006815e-08, + "loss": 1.0071, + "step": 8544 + }, + { + "epoch": 3.63, + "learning_rate": 4.580003809349015e-08, + "loss": 0.6422, + "step": 8545 + }, + { + "epoch": 3.63, + "learning_rate": 4.56740777454579e-08, + "loss": 1.0819, + "step": 8546 + }, + { + "epoch": 3.63, + "learning_rate": 4.554828816770007e-08, + "loss": 0.9572, + "step": 8547 + }, + { + "epoch": 3.63, + "learning_rate": 4.542266937498768e-08, + "loss": 0.8763, + "step": 8548 + }, + { + "epoch": 3.63, + "learning_rate": 4.529722138207076e-08, + "loss": 0.9339, + "step": 8549 + }, + { + "epoch": 3.63, + "learning_rate": 4.5171944203680035e-08, + "loss": 1.0138, + "step": 8550 + }, + { + "epoch": 3.63, + "learning_rate": 4.5046837854525566e-08, + "loss": 0.9226, + "step": 8551 + }, + { + "epoch": 3.63, + "learning_rate": 4.492190234929794e-08, + "loss": 0.7388, + "step": 8552 + }, + { + "epoch": 3.63, + "learning_rate": 4.479713770266691e-08, + "loss": 0.8799, + "step": 8553 + }, + { + "epoch": 3.63, + "learning_rate": 4.4672543929283105e-08, + "loss": 1.3305, + "step": 8554 + }, + { + "epoch": 3.63, + "learning_rate": 4.4548121043776316e-08, + "loss": 1.0838, + "step": 8555 + }, + { + "epoch": 3.63, + "learning_rate": 4.442386906075668e-08, + "loss": 1.1169, + "step": 8556 + }, + { + "epoch": 3.63, + "learning_rate": 4.4299787994814046e-08, + "loss": 0.9475, + "step": 8557 + }, + { + "epoch": 3.63, + "learning_rate": 4.417587786051841e-08, + "loss": 0.7891, + "step": 8558 + }, + { + "epoch": 3.63, + "learning_rate": 4.4052138672419475e-08, + "loss": 0.7194, + "step": 8559 + }, + { + "epoch": 3.63, + "learning_rate": 4.392857044504728e-08, + "loss": 0.6554, + "step": 8560 + }, + { + "epoch": 3.63, + "learning_rate": 4.3805173192910887e-08, + "loss": 0.9746, + "step": 8561 + }, + { + "epoch": 3.63, + "learning_rate": 4.3681946930500536e-08, + "loss": 1.0498, + "step": 8562 + }, + { + "epoch": 3.63, + "learning_rate": 4.355889167228533e-08, + "loss": 0.7824, + "step": 8563 + }, + { + "epoch": 3.63, + "learning_rate": 4.343600743271503e-08, + "loss": 1.0828, + "step": 8564 + }, + { + "epoch": 3.63, + "learning_rate": 4.331329422621844e-08, + "loss": 0.9139, + "step": 8565 + }, + { + "epoch": 3.64, + "learning_rate": 4.3190752067205354e-08, + "loss": 0.9578, + "step": 8566 + }, + { + "epoch": 3.64, + "learning_rate": 4.306838097006477e-08, + "loss": 1.0761, + "step": 8567 + }, + { + "epoch": 3.64, + "learning_rate": 4.294618094916569e-08, + "loss": 0.7457, + "step": 8568 + }, + { + "epoch": 3.64, + "learning_rate": 4.282415201885731e-08, + "loss": 0.9205, + "step": 8569 + }, + { + "epoch": 3.64, + "learning_rate": 4.2702294193468164e-08, + "loss": 0.8772, + "step": 8570 + }, + { + "epoch": 3.64, + "learning_rate": 4.2580607487307464e-08, + "loss": 0.9424, + "step": 8571 + }, + { + "epoch": 3.64, + "learning_rate": 4.245909191466413e-08, + "loss": 1.0104, + "step": 8572 + }, + { + "epoch": 3.64, + "learning_rate": 4.2337747489806067e-08, + "loss": 0.8237, + "step": 8573 + }, + { + "epoch": 3.64, + "learning_rate": 4.221657422698239e-08, + "loss": 1.2628, + "step": 8574 + }, + { + "epoch": 3.64, + "learning_rate": 4.2095572140421537e-08, + "loss": 0.8968, + "step": 8575 + }, + { + "epoch": 3.64, + "learning_rate": 4.197474124433148e-08, + "loss": 1.0189, + "step": 8576 + }, + { + "epoch": 3.64, + "learning_rate": 4.1854081552900883e-08, + "loss": 1.1108, + "step": 8577 + }, + { + "epoch": 3.64, + "learning_rate": 4.173359308029756e-08, + "loss": 0.982, + "step": 8578 + }, + { + "epoch": 3.64, + "learning_rate": 4.161327584066987e-08, + "loss": 1.0446, + "step": 8579 + }, + { + "epoch": 3.64, + "learning_rate": 4.149312984814502e-08, + "loss": 0.9759, + "step": 8580 + }, + { + "epoch": 3.64, + "learning_rate": 4.137315511683187e-08, + "loss": 1.1413, + "step": 8581 + }, + { + "epoch": 3.64, + "learning_rate": 4.125335166081734e-08, + "loss": 0.8887, + "step": 8582 + }, + { + "epoch": 3.64, + "learning_rate": 4.113371949416933e-08, + "loss": 0.9811, + "step": 8583 + }, + { + "epoch": 3.64, + "learning_rate": 4.1014258630935277e-08, + "loss": 1.3866, + "step": 8584 + }, + { + "epoch": 3.64, + "learning_rate": 4.089496908514262e-08, + "loss": 1.0064, + "step": 8585 + }, + { + "epoch": 3.64, + "learning_rate": 4.0775850870798494e-08, + "loss": 0.7738, + "step": 8586 + }, + { + "epoch": 3.64, + "learning_rate": 4.065690400189021e-08, + "loss": 0.8356, + "step": 8587 + }, + { + "epoch": 3.64, + "learning_rate": 4.053812849238425e-08, + "loss": 0.9462, + "step": 8588 + }, + { + "epoch": 3.65, + "learning_rate": 4.041952435622831e-08, + "loss": 0.7446, + "step": 8589 + }, + { + "epoch": 3.65, + "learning_rate": 4.030109160734841e-08, + "loss": 0.9709, + "step": 8590 + }, + { + "epoch": 3.65, + "learning_rate": 4.018283025965192e-08, + "loss": 0.7644, + "step": 8591 + }, + { + "epoch": 3.65, + "learning_rate": 4.006474032702473e-08, + "loss": 0.6742, + "step": 8592 + }, + { + "epoch": 3.65, + "learning_rate": 3.9946821823333594e-08, + "loss": 0.9232, + "step": 8593 + }, + { + "epoch": 3.65, + "learning_rate": 3.9829074762424424e-08, + "loss": 1.0667, + "step": 8594 + }, + { + "epoch": 3.65, + "learning_rate": 3.971149915812367e-08, + "loss": 0.7803, + "step": 8595 + }, + { + "epoch": 3.65, + "learning_rate": 3.959409502423744e-08, + "loss": 1.0853, + "step": 8596 + }, + { + "epoch": 3.65, + "learning_rate": 3.9476862374551225e-08, + "loss": 0.9467, + "step": 8597 + }, + { + "epoch": 3.65, + "learning_rate": 3.935980122283084e-08, + "loss": 0.9332, + "step": 8598 + }, + { + "epoch": 3.65, + "learning_rate": 3.924291158282211e-08, + "loss": 1.1297, + "step": 8599 + }, + { + "epoch": 3.65, + "learning_rate": 3.912619346825025e-08, + "loss": 1.2191, + "step": 8600 + }, + { + "epoch": 3.65, + "learning_rate": 3.900964689282077e-08, + "loss": 1.125, + "step": 8601 + }, + { + "epoch": 3.65, + "learning_rate": 3.8893271870218575e-08, + "loss": 0.8771, + "step": 8602 + }, + { + "epoch": 3.65, + "learning_rate": 3.8777068414108716e-08, + "loss": 0.7738, + "step": 8603 + }, + { + "epoch": 3.65, + "learning_rate": 3.8661036538136465e-08, + "loss": 0.9941, + "step": 8604 + }, + { + "epoch": 3.65, + "learning_rate": 3.8545176255925905e-08, + "loss": 0.9874, + "step": 8605 + }, + { + "epoch": 3.65, + "learning_rate": 3.8429487581082336e-08, + "loss": 0.6857, + "step": 8606 + }, + { + "epoch": 3.65, + "learning_rate": 3.8313970527189546e-08, + "loss": 0.6785, + "step": 8607 + }, + { + "epoch": 3.65, + "learning_rate": 3.819862510781219e-08, + "loss": 0.765, + "step": 8608 + }, + { + "epoch": 3.65, + "learning_rate": 3.8083451336494267e-08, + "loss": 0.9967, + "step": 8609 + }, + { + "epoch": 3.65, + "learning_rate": 3.796844922675963e-08, + "loss": 0.7444, + "step": 8610 + }, + { + "epoch": 3.65, + "learning_rate": 3.78536187921123e-08, + "loss": 1.2213, + "step": 8611 + }, + { + "epoch": 3.66, + "learning_rate": 3.7738960046035994e-08, + "loss": 0.772, + "step": 8612 + }, + { + "epoch": 3.66, + "learning_rate": 3.762447300199395e-08, + "loss": 0.92, + "step": 8613 + }, + { + "epoch": 3.66, + "learning_rate": 3.751015767342958e-08, + "loss": 0.8917, + "step": 8614 + }, + { + "epoch": 3.66, + "learning_rate": 3.739601407376614e-08, + "loss": 1.0915, + "step": 8615 + }, + { + "epoch": 3.66, + "learning_rate": 3.728204221640658e-08, + "loss": 0.7901, + "step": 8616 + }, + { + "epoch": 3.66, + "learning_rate": 3.716824211473352e-08, + "loss": 0.9836, + "step": 8617 + }, + { + "epoch": 3.66, + "learning_rate": 3.705461378211011e-08, + "loss": 0.8665, + "step": 8618 + }, + { + "epoch": 3.66, + "learning_rate": 3.694115723187835e-08, + "loss": 0.8411, + "step": 8619 + }, + { + "epoch": 3.66, + "learning_rate": 3.682787247736108e-08, + "loss": 1.0997, + "step": 8620 + }, + { + "epoch": 3.66, + "learning_rate": 3.6714759531859823e-08, + "loss": 0.6286, + "step": 8621 + }, + { + "epoch": 3.66, + "learning_rate": 3.6601818408657286e-08, + "loss": 0.9156, + "step": 8622 + }, + { + "epoch": 3.66, + "learning_rate": 3.648904912101453e-08, + "loss": 0.461, + "step": 8623 + }, + { + "epoch": 3.66, + "learning_rate": 3.6376451682173796e-08, + "loss": 1.3712, + "step": 8624 + }, + { + "epoch": 3.66, + "learning_rate": 3.6264026105356004e-08, + "loss": 1.0395, + "step": 8625 + }, + { + "epoch": 3.66, + "learning_rate": 3.615177240376294e-08, + "loss": 1.0948, + "step": 8626 + }, + { + "epoch": 3.66, + "learning_rate": 3.603969059057538e-08, + "loss": 3.8763, + "step": 8627 + }, + { + "epoch": 3.66, + "learning_rate": 3.5927780678954305e-08, + "loss": 0.8341, + "step": 8628 + }, + { + "epoch": 3.66, + "learning_rate": 3.581604268204036e-08, + "loss": 0.7537, + "step": 8629 + }, + { + "epoch": 3.66, + "learning_rate": 3.570447661295439e-08, + "loss": 0.8882, + "step": 8630 + }, + { + "epoch": 3.66, + "learning_rate": 3.5593082484796256e-08, + "loss": 0.9126, + "step": 8631 + }, + { + "epoch": 3.66, + "learning_rate": 3.548186031064632e-08, + "loss": 1.3449, + "step": 8632 + }, + { + "epoch": 3.66, + "learning_rate": 3.537081010356463e-08, + "loss": 0.8273, + "step": 8633 + }, + { + "epoch": 3.66, + "learning_rate": 3.525993187659094e-08, + "loss": 0.767, + "step": 8634 + }, + { + "epoch": 3.67, + "learning_rate": 3.514922564274481e-08, + "loss": 1.0965, + "step": 8635 + }, + { + "epoch": 3.67, + "learning_rate": 3.5038691415025357e-08, + "loss": 1.0454, + "step": 8636 + }, + { + "epoch": 3.67, + "learning_rate": 3.4928329206412204e-08, + "loss": 0.9309, + "step": 8637 + }, + { + "epoch": 3.67, + "learning_rate": 3.481813902986414e-08, + "loss": 0.7822, + "step": 8638 + }, + { + "epoch": 3.67, + "learning_rate": 3.470812089831982e-08, + "loss": 0.9948, + "step": 8639 + }, + { + "epoch": 3.67, + "learning_rate": 3.459827482469774e-08, + "loss": 1.2402, + "step": 8640 + }, + { + "epoch": 3.67, + "learning_rate": 3.448860082189675e-08, + "loss": 0.7544, + "step": 8641 + }, + { + "epoch": 3.67, + "learning_rate": 3.4379098902794725e-08, + "loss": 1.2252, + "step": 8642 + }, + { + "epoch": 3.67, + "learning_rate": 3.42697690802497e-08, + "loss": 0.8178, + "step": 8643 + }, + { + "epoch": 3.67, + "learning_rate": 3.416061136709925e-08, + "loss": 1.0499, + "step": 8644 + }, + { + "epoch": 3.67, + "learning_rate": 3.405162577616111e-08, + "loss": 0.7326, + "step": 8645 + }, + { + "epoch": 3.67, + "learning_rate": 3.394281232023255e-08, + "loss": 1.019, + "step": 8646 + }, + { + "epoch": 3.67, + "learning_rate": 3.383417101209069e-08, + "loss": 1.1501, + "step": 8647 + }, + { + "epoch": 3.67, + "learning_rate": 3.372570186449231e-08, + "loss": 0.99, + "step": 8648 + }, + { + "epoch": 3.67, + "learning_rate": 3.3617404890174564e-08, + "loss": 0.8965, + "step": 8649 + }, + { + "epoch": 3.67, + "learning_rate": 3.350928010185328e-08, + "loss": 1.1382, + "step": 8650 + }, + { + "epoch": 3.67, + "learning_rate": 3.3401327512225464e-08, + "loss": 0.8107, + "step": 8651 + }, + { + "epoch": 3.67, + "learning_rate": 3.3293547133966484e-08, + "loss": 1.1449, + "step": 8652 + }, + { + "epoch": 3.67, + "learning_rate": 3.318593897973255e-08, + "loss": 0.3869, + "step": 8653 + }, + { + "epoch": 3.67, + "learning_rate": 3.307850306215887e-08, + "loss": 0.982, + "step": 8654 + }, + { + "epoch": 3.67, + "learning_rate": 3.2971239393861206e-08, + "loss": 0.6652, + "step": 8655 + }, + { + "epoch": 3.67, + "learning_rate": 3.2864147987434647e-08, + "loss": 1.2615, + "step": 8656 + }, + { + "epoch": 3.67, + "learning_rate": 3.275722885545412e-08, + "loss": 0.9486, + "step": 8657 + }, + { + "epoch": 3.68, + "learning_rate": 3.265048201047394e-08, + "loss": 0.8317, + "step": 8658 + }, + { + "epoch": 3.68, + "learning_rate": 3.2543907465029224e-08, + "loss": 1.1821, + "step": 8659 + }, + { + "epoch": 3.68, + "learning_rate": 3.243750523163347e-08, + "loss": 1.1185, + "step": 8660 + }, + { + "epoch": 3.68, + "learning_rate": 3.233127532278135e-08, + "loss": 1.0213, + "step": 8661 + }, + { + "epoch": 3.68, + "learning_rate": 3.222521775094606e-08, + "loss": 1.0625, + "step": 8662 + }, + { + "epoch": 3.68, + "learning_rate": 3.211933252858146e-08, + "loss": 0.8399, + "step": 8663 + }, + { + "epoch": 3.68, + "learning_rate": 3.2013619668120774e-08, + "loss": 0.9257, + "step": 8664 + }, + { + "epoch": 3.68, + "learning_rate": 3.1908079181976915e-08, + "loss": 0.9617, + "step": 8665 + }, + { + "epoch": 3.68, + "learning_rate": 3.180271108254296e-08, + "loss": 0.7213, + "step": 8666 + }, + { + "epoch": 3.68, + "learning_rate": 3.1697515382191177e-08, + "loss": 1.268, + "step": 8667 + }, + { + "epoch": 3.68, + "learning_rate": 3.159249209327403e-08, + "loss": 1.1053, + "step": 8668 + }, + { + "epoch": 3.68, + "learning_rate": 3.1487641228123474e-08, + "loss": 0.9255, + "step": 8669 + }, + { + "epoch": 3.68, + "learning_rate": 3.138296279905167e-08, + "loss": 0.9623, + "step": 8670 + }, + { + "epoch": 3.68, + "learning_rate": 3.127845681834979e-08, + "loss": 0.9532, + "step": 8671 + }, + { + "epoch": 3.68, + "learning_rate": 3.11741232982895e-08, + "loss": 1.1726, + "step": 8672 + }, + { + "epoch": 3.68, + "learning_rate": 3.106996225112152e-08, + "loss": 1.0634, + "step": 8673 + }, + { + "epoch": 3.68, + "learning_rate": 3.0965973689077054e-08, + "loss": 0.7948, + "step": 8674 + }, + { + "epoch": 3.68, + "learning_rate": 3.086215762436634e-08, + "loss": 1.3174, + "step": 8675 + }, + { + "epoch": 3.68, + "learning_rate": 3.0758514069179955e-08, + "loss": 0.9613, + "step": 8676 + }, + { + "epoch": 3.68, + "learning_rate": 3.065504303568767e-08, + "loss": 0.9158, + "step": 8677 + }, + { + "epoch": 3.68, + "learning_rate": 3.0551744536039764e-08, + "loss": 0.9478, + "step": 8678 + }, + { + "epoch": 3.68, + "learning_rate": 3.044861858236536e-08, + "loss": 0.8364, + "step": 8679 + }, + { + "epoch": 3.68, + "learning_rate": 3.034566518677412e-08, + "loss": 0.7305, + "step": 8680 + }, + { + "epoch": 3.68, + "learning_rate": 3.024288436135453e-08, + "loss": 0.8186, + "step": 8681 + }, + { + "epoch": 3.69, + "learning_rate": 3.014027611817594e-08, + "loss": 1.0671, + "step": 8682 + }, + { + "epoch": 3.69, + "learning_rate": 3.003784046928637e-08, + "loss": 0.7159, + "step": 8683 + }, + { + "epoch": 3.69, + "learning_rate": 2.993557742671421e-08, + "loss": 1.1283, + "step": 8684 + }, + { + "epoch": 3.69, + "learning_rate": 2.9833487002467354e-08, + "loss": 0.8611, + "step": 8685 + }, + { + "epoch": 3.69, + "learning_rate": 2.973156920853387e-08, + "loss": 1.3554, + "step": 8686 + }, + { + "epoch": 3.69, + "learning_rate": 2.9629824056880696e-08, + "loss": 0.9062, + "step": 8687 + }, + { + "epoch": 3.69, + "learning_rate": 2.9528251559455433e-08, + "loss": 0.8483, + "step": 8688 + }, + { + "epoch": 3.69, + "learning_rate": 2.942685172818438e-08, + "loss": 0.8607, + "step": 8689 + }, + { + "epoch": 3.69, + "learning_rate": 2.9325624574974673e-08, + "loss": 0.8144, + "step": 8690 + }, + { + "epoch": 3.69, + "learning_rate": 2.922457011171231e-08, + "loss": 0.9007, + "step": 8691 + }, + { + "epoch": 3.69, + "learning_rate": 2.9123688350263466e-08, + "loss": 0.8899, + "step": 8692 + }, + { + "epoch": 3.69, + "learning_rate": 2.9022979302473994e-08, + "loss": 0.817, + "step": 8693 + }, + { + "epoch": 3.69, + "learning_rate": 2.8922442980169107e-08, + "loss": 1.2113, + "step": 8694 + }, + { + "epoch": 3.69, + "learning_rate": 2.8822079395154353e-08, + "loss": 1.011, + "step": 8695 + }, + { + "epoch": 3.69, + "learning_rate": 2.8721888559214482e-08, + "loss": 0.9732, + "step": 8696 + }, + { + "epoch": 3.69, + "learning_rate": 2.862187048411391e-08, + "loss": 0.8631, + "step": 8697 + }, + { + "epoch": 3.69, + "learning_rate": 2.8522025181597578e-08, + "loss": 1.2667, + "step": 8698 + }, + { + "epoch": 3.69, + "learning_rate": 2.8422352663388774e-08, + "loss": 0.9458, + "step": 8699 + }, + { + "epoch": 3.69, + "learning_rate": 2.83228529411918e-08, + "loss": 0.891, + "step": 8700 + }, + { + "epoch": 3.69, + "eval_loss": 1.2547883987426758, + "eval_runtime": 32.0246, + "eval_samples_per_second": 38.876, + "eval_steps_per_second": 19.454, + "step": 8700 + }, + { + "epoch": 3.69, + "learning_rate": 2.8223526026690315e-08, + "loss": 1.4729, + "step": 8701 + }, + { + "epoch": 3.69, + "learning_rate": 2.812437193154682e-08, + "loss": 0.8056, + "step": 8702 + }, + { + "epoch": 3.69, + "learning_rate": 2.8025390667405006e-08, + "loss": 1.1664, + "step": 8703 + }, + { + "epoch": 3.69, + "learning_rate": 2.7926582245886734e-08, + "loss": 1.0833, + "step": 8704 + }, + { + "epoch": 3.7, + "learning_rate": 2.7827946678594896e-08, + "loss": 0.8148, + "step": 8705 + }, + { + "epoch": 3.7, + "learning_rate": 2.7729483977111226e-08, + "loss": 0.9224, + "step": 8706 + }, + { + "epoch": 3.7, + "learning_rate": 2.7631194152997308e-08, + "loss": 0.6786, + "step": 8707 + }, + { + "epoch": 3.7, + "learning_rate": 2.7533077217794912e-08, + "loss": 0.3843, + "step": 8708 + }, + { + "epoch": 3.7, + "learning_rate": 2.7435133183024987e-08, + "loss": 0.8967, + "step": 8709 + }, + { + "epoch": 3.7, + "learning_rate": 2.733736206018833e-08, + "loss": 0.8152, + "step": 8710 + }, + { + "epoch": 3.7, + "learning_rate": 2.723976386076543e-08, + "loss": 0.6947, + "step": 8711 + }, + { + "epoch": 3.7, + "learning_rate": 2.7142338596216454e-08, + "loss": 1.0853, + "step": 8712 + }, + { + "epoch": 3.7, + "learning_rate": 2.7045086277981578e-08, + "loss": 0.8839, + "step": 8713 + }, + { + "epoch": 3.7, + "learning_rate": 2.694800691747984e-08, + "loss": 0.9148, + "step": 8714 + }, + { + "epoch": 3.7, + "learning_rate": 2.6851100526111118e-08, + "loss": 0.6174, + "step": 8715 + }, + { + "epoch": 3.7, + "learning_rate": 2.6754367115254142e-08, + "loss": 1.235, + "step": 8716 + }, + { + "epoch": 3.7, + "learning_rate": 2.6657806696267496e-08, + "loss": 0.9957, + "step": 8717 + }, + { + "epoch": 3.7, + "learning_rate": 2.656141928048944e-08, + "loss": 0.9918, + "step": 8718 + }, + { + "epoch": 3.7, + "learning_rate": 2.6465204879238425e-08, + "loss": 0.933, + "step": 8719 + }, + { + "epoch": 3.7, + "learning_rate": 2.6369163503811744e-08, + "loss": 1.0581, + "step": 8720 + }, + { + "epoch": 3.7, + "learning_rate": 2.6273295165487045e-08, + "loss": 0.8875, + "step": 8721 + }, + { + "epoch": 3.7, + "learning_rate": 2.6177599875520987e-08, + "loss": 0.5355, + "step": 8722 + }, + { + "epoch": 3.7, + "learning_rate": 2.6082077645150916e-08, + "loss": 0.6705, + "step": 8723 + }, + { + "epoch": 3.7, + "learning_rate": 2.598672848559286e-08, + "loss": 0.8606, + "step": 8724 + }, + { + "epoch": 3.7, + "learning_rate": 2.5891552408043194e-08, + "loss": 0.9774, + "step": 8725 + }, + { + "epoch": 3.7, + "learning_rate": 2.5796549423677484e-08, + "loss": 0.8349, + "step": 8726 + }, + { + "epoch": 3.7, + "learning_rate": 2.5701719543651468e-08, + "loss": 0.9994, + "step": 8727 + }, + { + "epoch": 3.71, + "learning_rate": 2.560706277909991e-08, + "loss": 0.8635, + "step": 8728 + }, + { + "epoch": 3.71, + "learning_rate": 2.5512579141137913e-08, + "loss": 0.9122, + "step": 8729 + }, + { + "epoch": 3.71, + "learning_rate": 2.5418268640859942e-08, + "loss": 0.7019, + "step": 8730 + }, + { + "epoch": 3.71, + "learning_rate": 2.5324131289340136e-08, + "loss": 0.6659, + "step": 8731 + }, + { + "epoch": 3.71, + "learning_rate": 2.523016709763215e-08, + "loss": 0.9469, + "step": 8732 + }, + { + "epoch": 3.71, + "learning_rate": 2.513637607676966e-08, + "loss": 1.194, + "step": 8733 + }, + { + "epoch": 3.71, + "learning_rate": 2.504275823776586e-08, + "loss": 1.021, + "step": 8734 + }, + { + "epoch": 3.71, + "learning_rate": 2.4949313591613287e-08, + "loss": 0.859, + "step": 8735 + }, + { + "epoch": 3.71, + "learning_rate": 2.4856042149284665e-08, + "loss": 0.8446, + "step": 8736 + }, + { + "epoch": 3.71, + "learning_rate": 2.476294392173206e-08, + "loss": 0.7133, + "step": 8737 + }, + { + "epoch": 3.71, + "learning_rate": 2.4670018919887572e-08, + "loss": 0.774, + "step": 8738 + }, + { + "epoch": 3.71, + "learning_rate": 2.457726715466213e-08, + "loss": 1.0088, + "step": 8739 + }, + { + "epoch": 3.71, + "learning_rate": 2.4484688636947194e-08, + "loss": 0.9481, + "step": 8740 + }, + { + "epoch": 3.71, + "learning_rate": 2.43922833776134e-08, + "loss": 1.0092, + "step": 8741 + }, + { + "epoch": 3.71, + "learning_rate": 2.4300051387511567e-08, + "loss": 0.811, + "step": 8742 + }, + { + "epoch": 3.71, + "learning_rate": 2.4207992677471203e-08, + "loss": 0.4486, + "step": 8743 + }, + { + "epoch": 3.71, + "learning_rate": 2.4116107258302323e-08, + "loss": 1.0779, + "step": 8744 + }, + { + "epoch": 3.71, + "learning_rate": 2.4024395140794297e-08, + "loss": 1.0318, + "step": 8745 + }, + { + "epoch": 3.71, + "learning_rate": 2.3932856335716513e-08, + "loss": 1.0675, + "step": 8746 + }, + { + "epoch": 3.71, + "learning_rate": 2.3841490853817038e-08, + "loss": 1.0826, + "step": 8747 + }, + { + "epoch": 3.71, + "learning_rate": 2.3750298705824793e-08, + "loss": 0.6607, + "step": 8748 + }, + { + "epoch": 3.71, + "learning_rate": 2.365927990244737e-08, + "loss": 0.8888, + "step": 8749 + }, + { + "epoch": 3.71, + "learning_rate": 2.3568434454372566e-08, + "loss": 1.3776, + "step": 8750 + }, + { + "epoch": 3.72, + "learning_rate": 2.347776237226751e-08, + "loss": 0.922, + "step": 8751 + }, + { + "epoch": 3.72, + "learning_rate": 2.3387263666779513e-08, + "loss": 0.8962, + "step": 8752 + }, + { + "epoch": 3.72, + "learning_rate": 2.3296938348534745e-08, + "loss": 0.7629, + "step": 8753 + }, + { + "epoch": 3.72, + "learning_rate": 2.3206786428139558e-08, + "loss": 0.9804, + "step": 8754 + }, + { + "epoch": 3.72, + "learning_rate": 2.3116807916179816e-08, + "loss": 0.9326, + "step": 8755 + }, + { + "epoch": 3.72, + "learning_rate": 2.3027002823221067e-08, + "loss": 0.8927, + "step": 8756 + }, + { + "epoch": 3.72, + "learning_rate": 2.293737115980821e-08, + "loss": 0.8437, + "step": 8757 + }, + { + "epoch": 3.72, + "learning_rate": 2.284791293646632e-08, + "loss": 0.9404, + "step": 8758 + }, + { + "epoch": 3.72, + "learning_rate": 2.2758628163699334e-08, + "loss": 1.0381, + "step": 8759 + }, + { + "epoch": 3.72, + "learning_rate": 2.26695168519917e-08, + "loss": 1.104, + "step": 8760 + }, + { + "epoch": 3.72, + "learning_rate": 2.258057901180688e-08, + "loss": 0.8989, + "step": 8761 + }, + { + "epoch": 3.72, + "learning_rate": 2.2491814653588182e-08, + "loss": 0.7302, + "step": 8762 + }, + { + "epoch": 3.72, + "learning_rate": 2.2403223787758608e-08, + "loss": 0.9285, + "step": 8763 + }, + { + "epoch": 3.72, + "learning_rate": 2.23148064247205e-08, + "loss": 0.7443, + "step": 8764 + }, + { + "epoch": 3.72, + "learning_rate": 2.2226562574856225e-08, + "loss": 1.0955, + "step": 8765 + }, + { + "epoch": 3.72, + "learning_rate": 2.213849224852732e-08, + "loss": 0.6785, + "step": 8766 + }, + { + "epoch": 3.72, + "learning_rate": 2.2050595456075517e-08, + "loss": 0.9187, + "step": 8767 + }, + { + "epoch": 3.72, + "learning_rate": 2.1962872207821726e-08, + "loss": 0.812, + "step": 8768 + }, + { + "epoch": 3.72, + "learning_rate": 2.187532251406671e-08, + "loss": 0.8495, + "step": 8769 + }, + { + "epoch": 3.72, + "learning_rate": 2.1787946385090406e-08, + "loss": 0.8884, + "step": 8770 + }, + { + "epoch": 3.72, + "learning_rate": 2.1700743831153112e-08, + "loss": 0.958, + "step": 8771 + }, + { + "epoch": 3.72, + "learning_rate": 2.1613714862494305e-08, + "loss": 1.022, + "step": 8772 + }, + { + "epoch": 3.72, + "learning_rate": 2.152685948933297e-08, + "loss": 0.8592, + "step": 8773 + }, + { + "epoch": 3.73, + "learning_rate": 2.1440177721867625e-08, + "loss": 0.9802, + "step": 8774 + }, + { + "epoch": 3.73, + "learning_rate": 2.135366957027729e-08, + "loss": 0.8547, + "step": 8775 + }, + { + "epoch": 3.73, + "learning_rate": 2.1267335044719338e-08, + "loss": 0.8152, + "step": 8776 + }, + { + "epoch": 3.73, + "learning_rate": 2.118117415533183e-08, + "loss": 0.6795, + "step": 8777 + }, + { + "epoch": 3.73, + "learning_rate": 2.1095186912231668e-08, + "loss": 0.6975, + "step": 8778 + }, + { + "epoch": 3.73, + "learning_rate": 2.1009373325515946e-08, + "loss": 0.95, + "step": 8779 + }, + { + "epoch": 3.73, + "learning_rate": 2.092373340526077e-08, + "loss": 1.1441, + "step": 8780 + }, + { + "epoch": 3.73, + "learning_rate": 2.083826716152226e-08, + "loss": 1.013, + "step": 8781 + }, + { + "epoch": 3.73, + "learning_rate": 2.075297460433606e-08, + "loss": 0.8519, + "step": 8782 + }, + { + "epoch": 3.73, + "learning_rate": 2.0667855743717656e-08, + "loss": 1.1437, + "step": 8783 + }, + { + "epoch": 3.73, + "learning_rate": 2.058291058966172e-08, + "loss": 0.8675, + "step": 8784 + }, + { + "epoch": 3.73, + "learning_rate": 2.0498139152142603e-08, + "loss": 0.4889, + "step": 8785 + }, + { + "epoch": 3.73, + "learning_rate": 2.0413541441114515e-08, + "loss": 1.0767, + "step": 8786 + }, + { + "epoch": 3.73, + "learning_rate": 2.0329117466511172e-08, + "loss": 0.8687, + "step": 8787 + }, + { + "epoch": 3.73, + "learning_rate": 2.024486723824548e-08, + "loss": 0.9775, + "step": 8788 + }, + { + "epoch": 3.73, + "learning_rate": 2.016079076621069e-08, + "loss": 1.1343, + "step": 8789 + }, + { + "epoch": 3.73, + "learning_rate": 2.0076888060279076e-08, + "loss": 0.9075, + "step": 8790 + }, + { + "epoch": 3.73, + "learning_rate": 1.999315913030275e-08, + "loss": 0.9202, + "step": 8791 + }, + { + "epoch": 3.73, + "learning_rate": 1.990960398611319e-08, + "loss": 0.7568, + "step": 8792 + }, + { + "epoch": 3.73, + "learning_rate": 1.9826222637521875e-08, + "loss": 1.0949, + "step": 8793 + }, + { + "epoch": 3.73, + "learning_rate": 1.9743015094319304e-08, + "loss": 1.1961, + "step": 8794 + }, + { + "epoch": 3.73, + "learning_rate": 1.9659981366276336e-08, + "loss": 0.6223, + "step": 8795 + }, + { + "epoch": 3.73, + "learning_rate": 1.9577121463142666e-08, + "loss": 1.0281, + "step": 8796 + }, + { + "epoch": 3.74, + "learning_rate": 1.9494435394647846e-08, + "loss": 0.9839, + "step": 8797 + }, + { + "epoch": 3.74, + "learning_rate": 1.9411923170501443e-08, + "loss": 0.8374, + "step": 8798 + }, + { + "epoch": 3.74, + "learning_rate": 1.9329584800391874e-08, + "loss": 0.8973, + "step": 8799 + }, + { + "epoch": 3.74, + "learning_rate": 1.9247420293987572e-08, + "loss": 0.9789, + "step": 8800 + }, + { + "epoch": 3.74, + "learning_rate": 1.9165429660936484e-08, + "loss": 0.7525, + "step": 8801 + }, + { + "epoch": 3.74, + "learning_rate": 1.9083612910866243e-08, + "loss": 0.9012, + "step": 8802 + }, + { + "epoch": 3.74, + "learning_rate": 1.9001970053383832e-08, + "loss": 1.1603, + "step": 8803 + }, + { + "epoch": 3.74, + "learning_rate": 1.8920501098076083e-08, + "loss": 1.0831, + "step": 8804 + }, + { + "epoch": 3.74, + "learning_rate": 1.8839206054509006e-08, + "loss": 0.9672, + "step": 8805 + }, + { + "epoch": 3.74, + "learning_rate": 1.8758084932228803e-08, + "loss": 0.9433, + "step": 8806 + }, + { + "epoch": 3.74, + "learning_rate": 1.867713774076052e-08, + "loss": 0.963, + "step": 8807 + }, + { + "epoch": 3.74, + "learning_rate": 1.859636448960972e-08, + "loss": 1.004, + "step": 8808 + }, + { + "epoch": 3.74, + "learning_rate": 1.8515765188260315e-08, + "loss": 0.8226, + "step": 8809 + }, + { + "epoch": 3.74, + "learning_rate": 1.8435339846176903e-08, + "loss": 0.8429, + "step": 8810 + }, + { + "epoch": 3.74, + "learning_rate": 1.8355088472802928e-08, + "loss": 0.9308, + "step": 8811 + }, + { + "epoch": 3.74, + "learning_rate": 1.827501107756202e-08, + "loss": 0.8944, + "step": 8812 + }, + { + "epoch": 3.74, + "learning_rate": 1.819510766985666e-08, + "loss": 0.7818, + "step": 8813 + }, + { + "epoch": 3.74, + "learning_rate": 1.811537825906967e-08, + "loss": 1.0155, + "step": 8814 + }, + { + "epoch": 3.74, + "learning_rate": 1.80358228545629e-08, + "loss": 0.9427, + "step": 8815 + }, + { + "epoch": 3.74, + "learning_rate": 1.7956441465677876e-08, + "loss": 1.0431, + "step": 8816 + }, + { + "epoch": 3.74, + "learning_rate": 1.7877234101735807e-08, + "loss": 0.9933, + "step": 8817 + }, + { + "epoch": 3.74, + "learning_rate": 1.7798200772037255e-08, + "loss": 0.6854, + "step": 8818 + }, + { + "epoch": 3.74, + "learning_rate": 1.7719341485862795e-08, + "loss": 0.8021, + "step": 8819 + }, + { + "epoch": 3.74, + "learning_rate": 1.7640656252471853e-08, + "loss": 1.2345, + "step": 8820 + }, + { + "epoch": 3.75, + "learning_rate": 1.7562145081104207e-08, + "loss": 0.8979, + "step": 8821 + }, + { + "epoch": 3.75, + "learning_rate": 1.7483807980978818e-08, + "loss": 0.8496, + "step": 8822 + }, + { + "epoch": 3.75, + "learning_rate": 1.740564496129382e-08, + "loss": 0.8993, + "step": 8823 + }, + { + "epoch": 3.75, + "learning_rate": 1.7327656031227713e-08, + "loss": 0.7244, + "step": 8824 + }, + { + "epoch": 3.75, + "learning_rate": 1.7249841199937834e-08, + "loss": 1.0966, + "step": 8825 + }, + { + "epoch": 3.75, + "learning_rate": 1.717220047656154e-08, + "loss": 0.7514, + "step": 8826 + }, + { + "epoch": 3.75, + "learning_rate": 1.7094733870215706e-08, + "loss": 1.0753, + "step": 8827 + }, + { + "epoch": 3.75, + "learning_rate": 1.7017441389996224e-08, + "loss": 1.1359, + "step": 8828 + }, + { + "epoch": 3.75, + "learning_rate": 1.6940323044979334e-08, + "loss": 1.0319, + "step": 8829 + }, + { + "epoch": 3.75, + "learning_rate": 1.686337884422029e-08, + "loss": 0.9568, + "step": 8830 + }, + { + "epoch": 3.75, + "learning_rate": 1.67866087967542e-08, + "loss": 0.884, + "step": 8831 + }, + { + "epoch": 3.75, + "learning_rate": 1.6710012911595353e-08, + "loss": 0.9724, + "step": 8832 + }, + { + "epoch": 3.75, + "learning_rate": 1.6633591197737887e-08, + "loss": 0.8347, + "step": 8833 + }, + { + "epoch": 3.75, + "learning_rate": 1.6557343664155454e-08, + "loss": 0.9214, + "step": 8834 + }, + { + "epoch": 3.75, + "learning_rate": 1.64812703198014e-08, + "loss": 0.8635, + "step": 8835 + }, + { + "epoch": 3.75, + "learning_rate": 1.6405371173608074e-08, + "loss": 0.9917, + "step": 8836 + }, + { + "epoch": 3.75, + "learning_rate": 1.6329646234488016e-08, + "loss": 0.9617, + "step": 8837 + }, + { + "epoch": 3.75, + "learning_rate": 1.6254095511332778e-08, + "loss": 0.7923, + "step": 8838 + }, + { + "epoch": 3.75, + "learning_rate": 1.6178719013013932e-08, + "loss": 0.81, + "step": 8839 + }, + { + "epoch": 3.75, + "learning_rate": 1.610351674838223e-08, + "loss": 1.1694, + "step": 8840 + }, + { + "epoch": 3.75, + "learning_rate": 1.6028488726267943e-08, + "loss": 0.8137, + "step": 8841 + }, + { + "epoch": 3.75, + "learning_rate": 1.5953634955481356e-08, + "loss": 0.8672, + "step": 8842 + }, + { + "epoch": 3.75, + "learning_rate": 1.587895544481194e-08, + "loss": 1.0321, + "step": 8843 + }, + { + "epoch": 3.76, + "learning_rate": 1.5804450203028343e-08, + "loss": 0.5941, + "step": 8844 + }, + { + "epoch": 3.76, + "learning_rate": 1.573011923887957e-08, + "loss": 0.8329, + "step": 8845 + }, + { + "epoch": 3.76, + "learning_rate": 1.565596256109364e-08, + "loss": 1.0582, + "step": 8846 + }, + { + "epoch": 3.76, + "learning_rate": 1.5581980178378085e-08, + "loss": 0.9312, + "step": 8847 + }, + { + "epoch": 3.76, + "learning_rate": 1.550817209941996e-08, + "loss": 0.9768, + "step": 8848 + }, + { + "epoch": 3.76, + "learning_rate": 1.5434538332886328e-08, + "loss": 1.1152, + "step": 8849 + }, + { + "epoch": 3.76, + "learning_rate": 1.5361078887423107e-08, + "loss": 0.8259, + "step": 8850 + }, + { + "epoch": 3.76, + "learning_rate": 1.52877937716564e-08, + "loss": 1.0252, + "step": 8851 + }, + { + "epoch": 3.76, + "learning_rate": 1.521468299419132e-08, + "loss": 0.8226, + "step": 8852 + }, + { + "epoch": 3.76, + "learning_rate": 1.514174656361267e-08, + "loss": 0.9059, + "step": 8853 + }, + { + "epoch": 3.76, + "learning_rate": 1.5068984488484925e-08, + "loss": 0.9211, + "step": 8854 + }, + { + "epoch": 3.76, + "learning_rate": 1.4996396777351763e-08, + "loss": 1.0272, + "step": 8855 + }, + { + "epoch": 3.76, + "learning_rate": 1.4923983438736855e-08, + "loss": 0.9138, + "step": 8856 + }, + { + "epoch": 3.76, + "learning_rate": 1.4851744481142903e-08, + "loss": 1.1869, + "step": 8857 + }, + { + "epoch": 3.76, + "learning_rate": 1.477967991305279e-08, + "loss": 0.6559, + "step": 8858 + }, + { + "epoch": 3.76, + "learning_rate": 1.4707789742927914e-08, + "loss": 0.7707, + "step": 8859 + }, + { + "epoch": 3.76, + "learning_rate": 1.4636073979210185e-08, + "loss": 0.9688, + "step": 8860 + }, + { + "epoch": 3.76, + "learning_rate": 1.4564532630320537e-08, + "loss": 0.7714, + "step": 8861 + }, + { + "epoch": 3.76, + "learning_rate": 1.4493165704659584e-08, + "loss": 1.0599, + "step": 8862 + }, + { + "epoch": 3.76, + "learning_rate": 1.442197321060712e-08, + "loss": 0.7922, + "step": 8863 + }, + { + "epoch": 3.76, + "learning_rate": 1.4350955156523127e-08, + "loss": 1.0568, + "step": 8864 + }, + { + "epoch": 3.76, + "learning_rate": 1.4280111550746432e-08, + "loss": 0.7365, + "step": 8865 + }, + { + "epoch": 3.76, + "learning_rate": 1.4209442401595718e-08, + "loss": 1.0556, + "step": 8866 + }, + { + "epoch": 3.77, + "learning_rate": 1.4138947717369177e-08, + "loss": 1.1122, + "step": 8867 + }, + { + "epoch": 3.77, + "learning_rate": 1.4068627506344357e-08, + "loss": 0.6302, + "step": 8868 + }, + { + "epoch": 3.77, + "learning_rate": 1.3998481776778483e-08, + "loss": 0.8148, + "step": 8869 + }, + { + "epoch": 3.77, + "learning_rate": 1.3928510536908135e-08, + "loss": 1.0034, + "step": 8870 + }, + { + "epoch": 3.77, + "learning_rate": 1.385871379494974e-08, + "loss": 1.0439, + "step": 8871 + }, + { + "epoch": 3.77, + "learning_rate": 1.3789091559098742e-08, + "loss": 1.0322, + "step": 8872 + }, + { + "epoch": 3.77, + "learning_rate": 1.3719643837530437e-08, + "loss": 0.9826, + "step": 8873 + }, + { + "epoch": 3.77, + "learning_rate": 1.3650370638399634e-08, + "loss": 0.9799, + "step": 8874 + }, + { + "epoch": 3.77, + "learning_rate": 1.3581271969840325e-08, + "loss": 1.267, + "step": 8875 + }, + { + "epoch": 3.77, + "learning_rate": 1.3512347839966355e-08, + "loss": 1.1773, + "step": 8876 + }, + { + "epoch": 3.77, + "learning_rate": 1.3443598256870914e-08, + "loss": 0.9312, + "step": 8877 + }, + { + "epoch": 3.77, + "learning_rate": 1.3375023228626716e-08, + "loss": 0.9223, + "step": 8878 + }, + { + "epoch": 3.77, + "learning_rate": 1.3306622763286146e-08, + "loss": 0.9347, + "step": 8879 + }, + { + "epoch": 3.77, + "learning_rate": 1.3238396868880952e-08, + "loss": 0.9225, + "step": 8880 + }, + { + "epoch": 3.77, + "learning_rate": 1.3170345553422225e-08, + "loss": 0.9075, + "step": 8881 + }, + { + "epoch": 3.77, + "learning_rate": 1.3102468824900738e-08, + "loss": 1.2204, + "step": 8882 + }, + { + "epoch": 3.77, + "learning_rate": 1.3034766691286614e-08, + "loss": 1.0545, + "step": 8883 + }, + { + "epoch": 3.77, + "learning_rate": 1.2967239160529831e-08, + "loss": 0.9546, + "step": 8884 + }, + { + "epoch": 3.77, + "learning_rate": 1.2899886240559544e-08, + "loss": 0.9969, + "step": 8885 + }, + { + "epoch": 3.77, + "learning_rate": 1.2832707939284426e-08, + "loss": 0.9648, + "step": 8886 + }, + { + "epoch": 3.77, + "learning_rate": 1.276570426459267e-08, + "loss": 1.169, + "step": 8887 + }, + { + "epoch": 3.77, + "learning_rate": 1.2698875224352146e-08, + "loss": 0.3776, + "step": 8888 + }, + { + "epoch": 3.77, + "learning_rate": 1.263222082641008e-08, + "loss": 0.4853, + "step": 8889 + }, + { + "epoch": 3.78, + "learning_rate": 1.256574107859304e-08, + "loss": 4.5299, + "step": 8890 + }, + { + "epoch": 3.78, + "learning_rate": 1.2499435988707286e-08, + "loss": 0.9545, + "step": 8891 + }, + { + "epoch": 3.78, + "learning_rate": 1.2433305564538588e-08, + "loss": 1.2266, + "step": 8892 + }, + { + "epoch": 3.78, + "learning_rate": 1.2367349813851902e-08, + "loss": 1.0439, + "step": 8893 + }, + { + "epoch": 3.78, + "learning_rate": 1.2301568744392199e-08, + "loss": 0.9351, + "step": 8894 + }, + { + "epoch": 3.78, + "learning_rate": 1.2235962363883469e-08, + "loss": 1.0812, + "step": 8895 + }, + { + "epoch": 3.78, + "learning_rate": 1.217053068002938e-08, + "loss": 1.0738, + "step": 8896 + }, + { + "epoch": 3.78, + "learning_rate": 1.210527370051312e-08, + "loss": 1.1969, + "step": 8897 + }, + { + "epoch": 3.78, + "learning_rate": 1.2040191432997228e-08, + "loss": 1.2292, + "step": 8898 + }, + { + "epoch": 3.78, + "learning_rate": 1.1975283885124089e-08, + "loss": 0.7685, + "step": 8899 + }, + { + "epoch": 3.78, + "learning_rate": 1.1910551064514775e-08, + "loss": 1.0052, + "step": 8900 + }, + { + "epoch": 3.78, + "learning_rate": 1.184599297877087e-08, + "loss": 1.2447, + "step": 8901 + }, + { + "epoch": 3.78, + "learning_rate": 1.1781609635472645e-08, + "loss": 1.2348, + "step": 8902 + }, + { + "epoch": 3.78, + "learning_rate": 1.171740104218022e-08, + "loss": 0.887, + "step": 8903 + }, + { + "epoch": 3.78, + "learning_rate": 1.1653367206433063e-08, + "loss": 1.0428, + "step": 8904 + }, + { + "epoch": 3.78, + "learning_rate": 1.1589508135750326e-08, + "loss": 0.713, + "step": 8905 + }, + { + "epoch": 3.78, + "learning_rate": 1.1525823837630345e-08, + "loss": 0.9692, + "step": 8906 + }, + { + "epoch": 3.78, + "learning_rate": 1.1462314319551303e-08, + "loss": 0.8886, + "step": 8907 + }, + { + "epoch": 3.78, + "learning_rate": 1.1398979588970071e-08, + "loss": 1.2812, + "step": 8908 + }, + { + "epoch": 3.78, + "learning_rate": 1.1335819653324198e-08, + "loss": 0.7805, + "step": 8909 + }, + { + "epoch": 3.78, + "learning_rate": 1.1272834520029751e-08, + "loss": 0.9212, + "step": 8910 + }, + { + "epoch": 3.78, + "learning_rate": 1.121002419648265e-08, + "loss": 0.9167, + "step": 8911 + }, + { + "epoch": 3.78, + "learning_rate": 1.1147388690058158e-08, + "loss": 0.9104, + "step": 8912 + }, + { + "epoch": 3.79, + "learning_rate": 1.1084928008111394e-08, + "loss": 0.9514, + "step": 8913 + }, + { + "epoch": 3.79, + "learning_rate": 1.1022642157975993e-08, + "loss": 1.0078, + "step": 8914 + }, + { + "epoch": 3.79, + "learning_rate": 1.0960531146966269e-08, + "loss": 0.7713, + "step": 8915 + }, + { + "epoch": 3.79, + "learning_rate": 1.0898594982375387e-08, + "loss": 0.8529, + "step": 8916 + }, + { + "epoch": 3.79, + "learning_rate": 1.0836833671475699e-08, + "loss": 0.6398, + "step": 8917 + }, + { + "epoch": 3.79, + "learning_rate": 1.0775247221519736e-08, + "loss": 0.72, + "step": 8918 + }, + { + "epoch": 3.79, + "learning_rate": 1.0713835639738878e-08, + "loss": 0.9086, + "step": 8919 + }, + { + "epoch": 3.79, + "learning_rate": 1.0652598933344194e-08, + "loss": 0.7805, + "step": 8920 + }, + { + "epoch": 3.79, + "learning_rate": 1.0591537109526429e-08, + "loss": 0.9761, + "step": 8921 + }, + { + "epoch": 3.79, + "learning_rate": 1.0530650175455514e-08, + "loss": 0.8119, + "step": 8922 + }, + { + "epoch": 3.79, + "learning_rate": 1.0469938138280899e-08, + "loss": 1.0591, + "step": 8923 + }, + { + "epoch": 3.79, + "learning_rate": 1.0409401005131547e-08, + "loss": 1.1173, + "step": 8924 + }, + { + "epoch": 3.79, + "learning_rate": 1.0349038783115771e-08, + "loss": 0.8418, + "step": 8925 + }, + { + "epoch": 3.79, + "learning_rate": 1.0288851479321736e-08, + "loss": 0.8035, + "step": 8926 + }, + { + "epoch": 3.79, + "learning_rate": 1.0228839100816456e-08, + "loss": 0.7651, + "step": 8927 + }, + { + "epoch": 3.79, + "learning_rate": 1.0169001654646958e-08, + "loss": 0.9067, + "step": 8928 + }, + { + "epoch": 3.79, + "learning_rate": 1.0109339147839126e-08, + "loss": 0.9783, + "step": 8929 + }, + { + "epoch": 3.79, + "learning_rate": 1.0049851587399016e-08, + "loss": 0.8019, + "step": 8930 + }, + { + "epoch": 3.79, + "learning_rate": 9.99053898031188e-09, + "loss": 1.0432, + "step": 8931 + }, + { + "epoch": 3.79, + "learning_rate": 9.931401333541979e-09, + "loss": 1.2199, + "step": 8932 + }, + { + "epoch": 3.79, + "learning_rate": 9.872438654033588e-09, + "loss": 1.0222, + "step": 8933 + }, + { + "epoch": 3.79, + "learning_rate": 9.81365094871034e-09, + "loss": 1.0594, + "step": 8934 + }, + { + "epoch": 3.79, + "learning_rate": 9.755038224475043e-09, + "loss": 1.04, + "step": 8935 + }, + { + "epoch": 3.79, + "learning_rate": 9.696600488210194e-09, + "loss": 0.9029, + "step": 8936 + }, + { + "epoch": 3.8, + "learning_rate": 9.63833774677747e-09, + "loss": 0.9224, + "step": 8937 + }, + { + "epoch": 3.8, + "learning_rate": 9.58025000701873e-09, + "loss": 0.7303, + "step": 8938 + }, + { + "epoch": 3.8, + "learning_rate": 9.522337275754356e-09, + "loss": 1.0081, + "step": 8939 + }, + { + "epoch": 3.8, + "learning_rate": 9.464599559784737e-09, + "loss": 0.8542, + "step": 8940 + }, + { + "epoch": 3.8, + "learning_rate": 9.407036865889452e-09, + "loss": 0.5377, + "step": 8941 + }, + { + "epoch": 3.8, + "learning_rate": 9.34964920082776e-09, + "loss": 0.7767, + "step": 8942 + }, + { + "epoch": 3.8, + "learning_rate": 9.29243657133827e-09, + "loss": 1.131, + "step": 8943 + }, + { + "epoch": 3.8, + "learning_rate": 9.235398984139109e-09, + "loss": 0.7489, + "step": 8944 + }, + { + "epoch": 3.8, + "learning_rate": 9.178536445927422e-09, + "loss": 0.9749, + "step": 8945 + }, + { + "epoch": 3.8, + "learning_rate": 9.121848963380364e-09, + "loss": 0.7677, + "step": 8946 + }, + { + "epoch": 3.8, + "learning_rate": 9.065336543154279e-09, + "loss": 0.6981, + "step": 8947 + }, + { + "epoch": 3.8, + "learning_rate": 9.008999191885025e-09, + "loss": 0.6463, + "step": 8948 + }, + { + "epoch": 3.8, + "learning_rate": 8.952836916187812e-09, + "loss": 0.8977, + "step": 8949 + }, + { + "epoch": 3.8, + "learning_rate": 8.89684972265753e-09, + "loss": 1.0727, + "step": 8950 + }, + { + "epoch": 3.8, + "learning_rate": 8.84103761786792e-09, + "loss": 0.787, + "step": 8951 + }, + { + "epoch": 3.8, + "learning_rate": 8.785400608372907e-09, + "loss": 0.7898, + "step": 8952 + }, + { + "epoch": 3.8, + "learning_rate": 8.729938700705431e-09, + "loss": 0.6599, + "step": 8953 + }, + { + "epoch": 3.8, + "learning_rate": 8.674651901377783e-09, + "loss": 0.9233, + "step": 8954 + }, + { + "epoch": 3.8, + "learning_rate": 8.619540216882271e-09, + "loss": 1.1328, + "step": 8955 + }, + { + "epoch": 3.8, + "learning_rate": 8.564603653689718e-09, + "loss": 0.7514, + "step": 8956 + }, + { + "epoch": 3.8, + "learning_rate": 8.509842218251296e-09, + "loss": 0.7226, + "step": 8957 + }, + { + "epoch": 3.8, + "learning_rate": 8.455255916997029e-09, + "loss": 0.934, + "step": 8958 + }, + { + "epoch": 3.8, + "learning_rate": 8.40084475633679e-09, + "loss": 0.7436, + "step": 8959 + }, + { + "epoch": 3.81, + "learning_rate": 8.3466087426593e-09, + "loss": 0.8596, + "step": 8960 + }, + { + "epoch": 3.81, + "learning_rate": 8.292547882333301e-09, + "loss": 0.9502, + "step": 8961 + }, + { + "epoch": 3.81, + "learning_rate": 8.238662181706714e-09, + "loss": 1.2499, + "step": 8962 + }, + { + "epoch": 3.81, + "learning_rate": 8.184951647106976e-09, + "loss": 0.856, + "step": 8963 + }, + { + "epoch": 3.81, + "learning_rate": 8.131416284840875e-09, + "loss": 1.0553, + "step": 8964 + }, + { + "epoch": 3.81, + "learning_rate": 8.078056101194552e-09, + "loss": 0.7766, + "step": 8965 + }, + { + "epoch": 3.81, + "learning_rate": 8.024871102433828e-09, + "loss": 1.0493, + "step": 8966 + }, + { + "epoch": 3.81, + "learning_rate": 7.97186129480354e-09, + "loss": 0.6894, + "step": 8967 + }, + { + "epoch": 3.81, + "learning_rate": 7.919026684528541e-09, + "loss": 0.9198, + "step": 8968 + }, + { + "epoch": 3.81, + "learning_rate": 7.866367277812702e-09, + "loss": 0.8025, + "step": 8969 + }, + { + "epoch": 3.81, + "learning_rate": 7.813883080839412e-09, + "loss": 1.0904, + "step": 8970 + }, + { + "epoch": 3.81, + "learning_rate": 7.761574099771407e-09, + "loss": 0.7996, + "step": 8971 + }, + { + "epoch": 3.81, + "learning_rate": 7.709440340750773e-09, + "loss": 0.8459, + "step": 8972 + }, + { + "epoch": 3.81, + "learning_rate": 7.657481809899613e-09, + "loss": 0.9784, + "step": 8973 + }, + { + "epoch": 3.81, + "learning_rate": 7.605698513318715e-09, + "loss": 0.8075, + "step": 8974 + }, + { + "epoch": 3.81, + "learning_rate": 7.554090457088547e-09, + "loss": 0.999, + "step": 8975 + }, + { + "epoch": 3.81, + "learning_rate": 7.502657647269262e-09, + "loss": 0.6953, + "step": 8976 + }, + { + "epoch": 3.81, + "learning_rate": 7.451400089900029e-09, + "loss": 0.9022, + "step": 8977 + }, + { + "epoch": 3.81, + "learning_rate": 7.4003177909997e-09, + "loss": 0.7323, + "step": 8978 + }, + { + "epoch": 3.81, + "learning_rate": 7.349410756566643e-09, + "loss": 0.8715, + "step": 8979 + }, + { + "epoch": 3.81, + "learning_rate": 7.298678992578078e-09, + "loss": 0.8624, + "step": 8980 + }, + { + "epoch": 3.81, + "learning_rate": 7.2481225049914055e-09, + "loss": 0.9311, + "step": 8981 + }, + { + "epoch": 3.81, + "learning_rate": 7.197741299742877e-09, + "loss": 1.1174, + "step": 8982 + }, + { + "epoch": 3.82, + "learning_rate": 7.147535382748594e-09, + "loss": 0.9439, + "step": 8983 + }, + { + "epoch": 3.82, + "learning_rate": 7.097504759903672e-09, + "loss": 0.9738, + "step": 8984 + }, + { + "epoch": 3.82, + "learning_rate": 7.047649437082748e-09, + "loss": 0.6659, + "step": 8985 + }, + { + "epoch": 3.82, + "learning_rate": 6.9979694201401375e-09, + "loss": 0.8816, + "step": 8986 + }, + { + "epoch": 3.82, + "learning_rate": 6.948464714909175e-09, + "loss": 0.9139, + "step": 8987 + }, + { + "epoch": 3.82, + "learning_rate": 6.89913532720321e-09, + "loss": 0.9546, + "step": 8988 + }, + { + "epoch": 3.82, + "learning_rate": 6.8499812628139425e-09, + "loss": 1.104, + "step": 8989 + }, + { + "epoch": 3.82, + "learning_rate": 6.801002527513922e-09, + "loss": 1.0249, + "step": 8990 + }, + { + "epoch": 3.82, + "learning_rate": 6.752199127053715e-09, + "loss": 1.0575, + "step": 8991 + }, + { + "epoch": 3.82, + "learning_rate": 6.7035710671644044e-09, + "loss": 0.9925, + "step": 8992 + }, + { + "epoch": 3.82, + "learning_rate": 6.655118353555589e-09, + "loss": 0.9451, + "step": 8993 + }, + { + "epoch": 3.82, + "learning_rate": 6.6068409919170514e-09, + "loss": 0.9925, + "step": 8994 + }, + { + "epoch": 3.82, + "learning_rate": 6.558738987917423e-09, + "loss": 0.7219, + "step": 8995 + }, + { + "epoch": 3.82, + "learning_rate": 6.510812347205186e-09, + "loss": 0.9237, + "step": 8996 + }, + { + "epoch": 3.82, + "learning_rate": 6.463061075407506e-09, + "loss": 1.1237, + "step": 8997 + }, + { + "epoch": 3.82, + "learning_rate": 6.415485178131897e-09, + "loss": 1.0656, + "step": 8998 + }, + { + "epoch": 3.82, + "learning_rate": 6.368084660964723e-09, + "loss": 0.9521, + "step": 8999 + }, + { + "epoch": 3.82, + "learning_rate": 6.320859529471868e-09, + "loss": 0.4908, + "step": 9000 + }, + { + "epoch": 3.82, + "learning_rate": 6.273809789198393e-09, + "loss": 0.6727, + "step": 9001 + }, + { + "epoch": 3.82, + "learning_rate": 6.22693544566938e-09, + "loss": 1.111, + "step": 9002 + }, + { + "epoch": 3.82, + "learning_rate": 6.1802365043885925e-09, + "loss": 1.2492, + "step": 9003 + }, + { + "epoch": 3.82, + "learning_rate": 6.133712970839644e-09, + "loss": 0.817, + "step": 9004 + }, + { + "epoch": 3.82, + "learning_rate": 6.0873648504854994e-09, + "loss": 1.3359, + "step": 9005 + }, + { + "epoch": 3.83, + "learning_rate": 6.041192148768304e-09, + "loss": 1.1009, + "step": 9006 + }, + { + "epoch": 3.83, + "learning_rate": 5.9951948711098884e-09, + "loss": 0.8066, + "step": 9007 + }, + { + "epoch": 3.83, + "learning_rate": 5.94937302291143e-09, + "loss": 0.9947, + "step": 9008 + }, + { + "epoch": 3.83, + "learning_rate": 5.903726609553295e-09, + "loss": 1.2051, + "step": 9009 + }, + { + "epoch": 3.83, + "learning_rate": 5.8582556363953595e-09, + "loss": 1.3526, + "step": 9010 + }, + { + "epoch": 3.83, + "learning_rate": 5.812960108777021e-09, + "loss": 1.1096, + "step": 9011 + }, + { + "epoch": 3.83, + "learning_rate": 5.767840032016858e-09, + "loss": 0.993, + "step": 9012 + }, + { + "epoch": 3.83, + "learning_rate": 5.722895411413298e-09, + "loss": 1.1181, + "step": 9013 + }, + { + "epoch": 3.83, + "learning_rate": 5.678126252243454e-09, + "loss": 0.8259, + "step": 9014 + }, + { + "epoch": 3.83, + "learning_rate": 5.633532559764454e-09, + "loss": 1.2145, + "step": 9015 + }, + { + "epoch": 3.83, + "learning_rate": 5.589114339212442e-09, + "loss": 0.8869, + "step": 9016 + }, + { + "epoch": 3.83, + "learning_rate": 5.5448715958030806e-09, + "loss": 1.02, + "step": 9017 + }, + { + "epoch": 3.83, + "learning_rate": 5.500804334731713e-09, + "loss": 1.0225, + "step": 9018 + }, + { + "epoch": 3.83, + "learning_rate": 5.4569125611727e-09, + "loss": 0.7262, + "step": 9019 + }, + { + "epoch": 3.83, + "learning_rate": 5.413196280279753e-09, + "loss": 1.064, + "step": 9020 + }, + { + "epoch": 3.83, + "learning_rate": 5.369655497186432e-09, + "loss": 0.9264, + "step": 9021 + }, + { + "epoch": 3.83, + "learning_rate": 5.3262902170051475e-09, + "loss": 0.942, + "step": 9022 + }, + { + "epoch": 3.83, + "learning_rate": 5.283100444827993e-09, + "loss": 0.8756, + "step": 9023 + }, + { + "epoch": 3.83, + "learning_rate": 5.2400861857264115e-09, + "loss": 0.7576, + "step": 9024 + }, + { + "epoch": 3.83, + "learning_rate": 5.197247444751363e-09, + "loss": 0.884, + "step": 9025 + }, + { + "epoch": 3.83, + "learning_rate": 5.15458422693299e-09, + "loss": 0.9766, + "step": 9026 + }, + { + "epoch": 3.83, + "learning_rate": 5.112096537280786e-09, + "loss": 0.6326, + "step": 9027 + }, + { + "epoch": 3.83, + "learning_rate": 5.069784380783926e-09, + "loss": 1.5636, + "step": 9028 + }, + { + "epoch": 3.84, + "learning_rate": 5.0276477624107696e-09, + "loss": 0.809, + "step": 9029 + }, + { + "epoch": 3.84, + "learning_rate": 4.985686687109026e-09, + "loss": 0.9376, + "step": 9030 + }, + { + "epoch": 3.84, + "learning_rate": 4.9439011598059195e-09, + "loss": 1.1086, + "step": 9031 + }, + { + "epoch": 3.84, + "learning_rate": 4.902291185407859e-09, + "loss": 1.0838, + "step": 9032 + }, + { + "epoch": 3.84, + "learning_rate": 4.860856768800936e-09, + "loss": 1.1406, + "step": 9033 + }, + { + "epoch": 3.84, + "learning_rate": 4.819597914850427e-09, + "loss": 0.8469, + "step": 9034 + }, + { + "epoch": 3.84, + "learning_rate": 4.778514628401121e-09, + "loss": 1.0223, + "step": 9035 + }, + { + "epoch": 3.84, + "learning_rate": 4.737606914276993e-09, + "loss": 0.9793, + "step": 9036 + }, + { + "epoch": 3.84, + "learning_rate": 4.696874777281701e-09, + "loss": 1.0476, + "step": 9037 + }, + { + "epoch": 3.84, + "learning_rate": 4.65631822219792e-09, + "loss": 0.6893, + "step": 9038 + }, + { + "epoch": 3.84, + "learning_rate": 4.615937253787838e-09, + "loss": 1.0328, + "step": 9039 + }, + { + "epoch": 3.84, + "learning_rate": 4.575731876793332e-09, + "loss": 0.8901, + "step": 9040 + }, + { + "epoch": 3.84, + "learning_rate": 4.535702095935124e-09, + "loss": 0.6393, + "step": 9041 + }, + { + "epoch": 3.84, + "learning_rate": 4.495847915913787e-09, + "loss": 0.9004, + "step": 9042 + }, + { + "epoch": 3.84, + "learning_rate": 4.456169341409077e-09, + "loss": 0.8908, + "step": 9043 + }, + { + "epoch": 3.84, + "learning_rate": 4.416666377080103e-09, + "loss": 1.0887, + "step": 9044 + }, + { + "epoch": 3.84, + "learning_rate": 4.377339027565486e-09, + "loss": 0.9454, + "step": 9045 + }, + { + "epoch": 3.84, + "learning_rate": 4.338187297482865e-09, + "loss": 1.0016, + "step": 9046 + }, + { + "epoch": 3.84, + "learning_rate": 4.299211191429897e-09, + "loss": 0.95, + "step": 9047 + }, + { + "epoch": 3.84, + "learning_rate": 4.260410713983087e-09, + "loss": 1.0951, + "step": 9048 + }, + { + "epoch": 3.84, + "learning_rate": 4.2217858696982914e-09, + "loss": 1.0118, + "step": 9049 + }, + { + "epoch": 3.84, + "learning_rate": 4.183336663111215e-09, + "loss": 1.0446, + "step": 9050 + }, + { + "epoch": 3.84, + "learning_rate": 4.1450630987364125e-09, + "loss": 1.0811, + "step": 9051 + }, + { + "epoch": 3.85, + "learning_rate": 4.10696518106829e-09, + "loss": 1.1886, + "step": 9052 + }, + { + "epoch": 3.85, + "learning_rate": 4.069042914580101e-09, + "loss": 1.0971, + "step": 9053 + }, + { + "epoch": 3.85, + "learning_rate": 4.0312963037251185e-09, + "loss": 0.9008, + "step": 9054 + }, + { + "epoch": 3.85, + "learning_rate": 3.993725352935296e-09, + "loss": 0.7735, + "step": 9055 + }, + { + "epoch": 3.85, + "learning_rate": 3.956330066622438e-09, + "loss": 0.875, + "step": 9056 + }, + { + "epoch": 3.85, + "learning_rate": 3.919110449177699e-09, + "loss": 1.1745, + "step": 9057 + }, + { + "epoch": 3.85, + "learning_rate": 3.882066504971415e-09, + "loss": 0.816, + "step": 9058 + }, + { + "epoch": 3.85, + "learning_rate": 3.845198238353276e-09, + "loss": 0.7205, + "step": 9059 + }, + { + "epoch": 3.85, + "learning_rate": 3.808505653652483e-09, + "loss": 0.8078, + "step": 9060 + }, + { + "epoch": 3.85, + "learning_rate": 3.771988755177591e-09, + "loss": 0.7334, + "step": 9061 + }, + { + "epoch": 3.85, + "learning_rate": 3.735647547216503e-09, + "loss": 1.3086, + "step": 9062 + }, + { + "epoch": 3.85, + "learning_rate": 3.6994820340366388e-09, + "loss": 0.6766, + "step": 9063 + }, + { + "epoch": 3.85, + "learning_rate": 3.663492219884268e-09, + "loss": 0.7096, + "step": 9064 + }, + { + "epoch": 3.85, + "learning_rate": 3.627678108985677e-09, + "loss": 0.9007, + "step": 9065 + }, + { + "epoch": 3.85, + "learning_rate": 3.5920397055461685e-09, + "loss": 0.8283, + "step": 9066 + }, + { + "epoch": 3.85, + "learning_rate": 3.5565770137505617e-09, + "loss": 0.9244, + "step": 9067 + }, + { + "epoch": 3.85, + "learning_rate": 3.5212900377628587e-09, + "loss": 1.0741, + "step": 9068 + }, + { + "epoch": 3.85, + "learning_rate": 3.4861787817264124e-09, + "loss": 6.1286, + "step": 9069 + }, + { + "epoch": 3.85, + "learning_rate": 3.4512432497644243e-09, + "loss": 0.9546, + "step": 9070 + }, + { + "epoch": 3.85, + "learning_rate": 3.4164834459787798e-09, + "loss": 0.8129, + "step": 9071 + }, + { + "epoch": 3.85, + "learning_rate": 3.381899374451214e-09, + "loss": 0.7918, + "step": 9072 + }, + { + "epoch": 3.85, + "learning_rate": 3.347491039242645e-09, + "loss": 0.8945, + "step": 9073 + }, + { + "epoch": 3.85, + "learning_rate": 3.313258444393341e-09, + "loss": 0.8557, + "step": 9074 + }, + { + "epoch": 3.85, + "learning_rate": 3.2792015939230867e-09, + "loss": 0.8453, + "step": 9075 + }, + { + "epoch": 3.86, + "learning_rate": 3.2453204918306835e-09, + "loss": 1.3617, + "step": 9076 + }, + { + "epoch": 3.86, + "learning_rate": 3.2116151420947815e-09, + "loss": 1.1189, + "step": 9077 + }, + { + "epoch": 3.86, + "learning_rate": 3.178085548673049e-09, + "loss": 0.8606, + "step": 9078 + }, + { + "epoch": 3.86, + "learning_rate": 3.1447317155025023e-09, + "loss": 0.903, + "step": 9079 + }, + { + "epoch": 3.86, + "learning_rate": 3.1115536464996765e-09, + "loss": 1.1208, + "step": 9080 + }, + { + "epoch": 3.86, + "learning_rate": 3.078551345560454e-09, + "loss": 0.8611, + "step": 9081 + }, + { + "epoch": 3.86, + "learning_rate": 3.0457248165600694e-09, + "loss": 1.0771, + "step": 9082 + }, + { + "epoch": 3.86, + "learning_rate": 3.013074063353105e-09, + "loss": 1.055, + "step": 9083 + }, + { + "epoch": 3.86, + "learning_rate": 2.9805990897733282e-09, + "loss": 0.801, + "step": 9084 + }, + { + "epoch": 3.86, + "learning_rate": 2.9482998996341883e-09, + "loss": 0.9297, + "step": 9085 + }, + { + "epoch": 3.86, + "learning_rate": 2.9161764967283177e-09, + "loss": 0.9027, + "step": 9086 + }, + { + "epoch": 3.86, + "learning_rate": 2.8842288848277e-09, + "loss": 1.0562, + "step": 9087 + }, + { + "epoch": 3.86, + "learning_rate": 2.8524570676835004e-09, + "loss": 1.1456, + "step": 9088 + }, + { + "epoch": 3.86, + "learning_rate": 2.820861049026735e-09, + "loss": 0.9301, + "step": 9089 + }, + { + "epoch": 3.86, + "learning_rate": 2.789440832567436e-09, + "loss": 0.8406, + "step": 9090 + }, + { + "epoch": 3.86, + "learning_rate": 2.7581964219948185e-09, + "loss": 0.6557, + "step": 9091 + }, + { + "epoch": 3.86, + "learning_rate": 2.7271278209777817e-09, + "loss": 0.9996, + "step": 9092 + }, + { + "epoch": 3.86, + "learning_rate": 2.6962350331645736e-09, + "loss": 0.7729, + "step": 9093 + }, + { + "epoch": 3.86, + "learning_rate": 2.665518062182626e-09, + "loss": 1.0555, + "step": 9094 + }, + { + "epoch": 3.86, + "learning_rate": 2.6349769116388868e-09, + "loss": 0.9134, + "step": 9095 + }, + { + "epoch": 3.86, + "learning_rate": 2.604611585119321e-09, + "loss": 1.3159, + "step": 9096 + }, + { + "epoch": 3.86, + "learning_rate": 2.5744220861897425e-09, + "loss": 0.9785, + "step": 9097 + }, + { + "epoch": 3.86, + "learning_rate": 2.5444084183949833e-09, + "loss": 1.1961, + "step": 9098 + }, + { + "epoch": 3.87, + "learning_rate": 2.514570585259224e-09, + "loss": 0.8305, + "step": 9099 + }, + { + "epoch": 3.87, + "learning_rate": 2.484908590286161e-09, + "loss": 0.7338, + "step": 9100 + }, + { + "epoch": 3.87, + "learning_rate": 2.455422436958843e-09, + "loss": 0.9865, + "step": 9101 + }, + { + "epoch": 3.87, + "learning_rate": 2.4261121287394994e-09, + "loss": 0.9321, + "step": 9102 + }, + { + "epoch": 3.87, + "learning_rate": 2.396977669070044e-09, + "loss": 1.1184, + "step": 9103 + }, + { + "epoch": 3.87, + "learning_rate": 2.3680190613712403e-09, + "loss": 1.1531, + "step": 9104 + }, + { + "epoch": 3.87, + "learning_rate": 2.3392363090435354e-09, + "loss": 1.0413, + "step": 9105 + }, + { + "epoch": 3.87, + "learning_rate": 2.3106294154665587e-09, + "loss": 0.9931, + "step": 9106 + }, + { + "epoch": 3.87, + "learning_rate": 2.2821983839997897e-09, + "loss": 0.9666, + "step": 9107 + }, + { + "epoch": 3.87, + "learning_rate": 2.253943217981225e-09, + "loss": 1.0733, + "step": 9108 + }, + { + "epoch": 3.87, + "learning_rate": 2.2258639207288765e-09, + "loss": 0.8277, + "step": 9109 + }, + { + "epoch": 3.87, + "learning_rate": 2.1979604955399413e-09, + "loss": 1.1861, + "step": 9110 + }, + { + "epoch": 3.87, + "learning_rate": 2.170232945690631e-09, + "loss": 0.7767, + "step": 9111 + }, + { + "epoch": 3.87, + "learning_rate": 2.1426812744370083e-09, + "loss": 1.0764, + "step": 9112 + }, + { + "epoch": 3.87, + "learning_rate": 2.1153054850143183e-09, + "loss": 0.8454, + "step": 9113 + }, + { + "epoch": 3.87, + "learning_rate": 2.088105580636823e-09, + "loss": 0.9391, + "step": 9114 + }, + { + "epoch": 3.87, + "learning_rate": 2.0610815644984683e-09, + "loss": 0.8179, + "step": 9115 + }, + { + "epoch": 3.87, + "learning_rate": 2.0342334397727147e-09, + "loss": 0.9743, + "step": 9116 + }, + { + "epoch": 3.87, + "learning_rate": 2.0075612096118743e-09, + "loss": 0.9116, + "step": 9117 + }, + { + "epoch": 3.87, + "learning_rate": 1.9810648771479425e-09, + "loss": 0.7762, + "step": 9118 + }, + { + "epoch": 3.87, + "learning_rate": 1.9547444454922627e-09, + "loss": 1.1673, + "step": 9119 + }, + { + "epoch": 3.87, + "learning_rate": 1.928599917735363e-09, + "loss": 0.8397, + "step": 9120 + }, + { + "epoch": 3.87, + "learning_rate": 1.9026312969471217e-09, + "loss": 1.0684, + "step": 9121 + }, + { + "epoch": 3.88, + "learning_rate": 1.876838586176932e-09, + "loss": 0.7326, + "step": 9122 + }, + { + "epoch": 3.88, + "learning_rate": 1.8512217884532056e-09, + "loss": 0.9759, + "step": 9123 + }, + { + "epoch": 3.88, + "learning_rate": 1.8257809067843689e-09, + "loss": 0.7732, + "step": 9124 + }, + { + "epoch": 3.88, + "learning_rate": 1.8005159441575326e-09, + "loss": 0.7851, + "step": 9125 + }, + { + "epoch": 3.88, + "learning_rate": 1.7754269035391568e-09, + "loss": 0.9031, + "step": 9126 + }, + { + "epoch": 3.88, + "learning_rate": 1.7505137878755517e-09, + "loss": 0.8264, + "step": 9127 + }, + { + "epoch": 3.88, + "learning_rate": 1.7257766000918774e-09, + "loss": 1.268, + "step": 9128 + }, + { + "epoch": 3.88, + "learning_rate": 1.7012153430929768e-09, + "loss": 0.8576, + "step": 9129 + }, + { + "epoch": 3.88, + "learning_rate": 1.676830019762876e-09, + "loss": 0.7343, + "step": 9130 + }, + { + "epoch": 3.88, + "learning_rate": 1.6526206329647852e-09, + "loss": 0.8701, + "step": 9131 + }, + { + "epoch": 3.88, + "learning_rate": 1.6285871855415967e-09, + "loss": 0.9375, + "step": 9132 + }, + { + "epoch": 3.88, + "learning_rate": 1.60472968031522e-09, + "loss": 0.83, + "step": 9133 + }, + { + "epoch": 3.88, + "learning_rate": 1.5810481200872472e-09, + "loss": 0.7977, + "step": 9134 + }, + { + "epoch": 3.88, + "learning_rate": 1.5575425076382877e-09, + "loss": 1.0081, + "step": 9135 + }, + { + "epoch": 3.88, + "learning_rate": 1.534212845728633e-09, + "loss": 1.0876, + "step": 9136 + }, + { + "epoch": 3.88, + "learning_rate": 1.5110591370974258e-09, + "loss": 1.0214, + "step": 9137 + }, + { + "epoch": 3.88, + "learning_rate": 1.488081384463491e-09, + "loss": 1.1699, + "step": 9138 + }, + { + "epoch": 3.88, + "learning_rate": 1.4652795905250038e-09, + "loss": 0.7738, + "step": 9139 + }, + { + "epoch": 3.88, + "learning_rate": 1.4426537579593224e-09, + "loss": 0.7698, + "step": 9140 + }, + { + "epoch": 3.88, + "learning_rate": 1.4202038894233216e-09, + "loss": 0.7563, + "step": 9141 + }, + { + "epoch": 3.88, + "learning_rate": 1.3979299875530592e-09, + "loss": 0.8597, + "step": 9142 + }, + { + "epoch": 3.88, + "learning_rate": 1.3758320549641102e-09, + "loss": 1.1325, + "step": 9143 + }, + { + "epoch": 3.88, + "learning_rate": 1.3539100942510651e-09, + "loss": 0.9449, + "step": 9144 + }, + { + "epoch": 3.89, + "learning_rate": 1.3321641079881985e-09, + "loss": 0.8755, + "step": 9145 + }, + { + "epoch": 3.89, + "learning_rate": 1.3105940987288012e-09, + "loss": 0.8144, + "step": 9146 + }, + { + "epoch": 3.89, + "learning_rate": 1.289200069005847e-09, + "loss": 1.0284, + "step": 9147 + }, + { + "epoch": 3.89, + "learning_rate": 1.267982021331493e-09, + "loss": 0.8795, + "step": 9148 + }, + { + "epoch": 3.89, + "learning_rate": 1.2469399581970797e-09, + "loss": 1.1605, + "step": 9149 + }, + { + "epoch": 3.89, + "learning_rate": 1.226073882073464e-09, + "loss": 0.7756, + "step": 9150 + }, + { + "epoch": 3.89, + "learning_rate": 1.2053837954106862e-09, + "loss": 0.684, + "step": 9151 + }, + { + "epoch": 3.89, + "learning_rate": 1.184869700638469e-09, + "loss": 0.895, + "step": 9152 + }, + { + "epoch": 3.89, + "learning_rate": 1.164531600165386e-09, + "loss": 0.9234, + "step": 9153 + }, + { + "epoch": 3.89, + "learning_rate": 1.1443694963796936e-09, + "loss": 1.0467, + "step": 9154 + }, + { + "epoch": 3.89, + "learning_rate": 1.1243833916489976e-09, + "loss": 0.8252, + "step": 9155 + }, + { + "epoch": 3.89, + "learning_rate": 1.1045732883197547e-09, + "loss": 0.7516, + "step": 9156 + }, + { + "epoch": 3.89, + "learning_rate": 1.0849391887184368e-09, + "loss": 0.944, + "step": 9157 + }, + { + "epoch": 3.89, + "learning_rate": 1.0654810951505334e-09, + "loss": 0.8562, + "step": 9158 + }, + { + "epoch": 3.89, + "learning_rate": 1.0461990099005502e-09, + "loss": 0.8207, + "step": 9159 + }, + { + "epoch": 3.89, + "learning_rate": 1.0270929352328428e-09, + "loss": 1.0063, + "step": 9160 + }, + { + "epoch": 3.89, + "learning_rate": 1.0081628733909497e-09, + "loss": 1.0404, + "step": 9161 + }, + { + "epoch": 3.89, + "learning_rate": 9.89408826597593e-10, + "loss": 0.9755, + "step": 9162 + }, + { + "epoch": 3.89, + "learning_rate": 9.708307970550113e-10, + "loss": 1.1729, + "step": 9163 + }, + { + "epoch": 3.89, + "learning_rate": 9.524287869444593e-10, + "loss": 0.8213, + "step": 9164 + }, + { + "epoch": 3.89, + "learning_rate": 9.342027984270418e-10, + "loss": 1.136, + "step": 9165 + }, + { + "epoch": 3.89, + "learning_rate": 9.161528336425473e-10, + "loss": 0.9168, + "step": 9166 + }, + { + "epoch": 3.89, + "learning_rate": 8.982788947107801e-10, + "loss": 1.0418, + "step": 9167 + }, + { + "epoch": 3.9, + "learning_rate": 8.805809837303946e-10, + "loss": 0.8413, + "step": 9168 + }, + { + "epoch": 3.9, + "learning_rate": 8.630591027793955e-10, + "loss": 0.7068, + "step": 9169 + }, + { + "epoch": 3.9, + "learning_rate": 8.457132539154699e-10, + "loss": 1.1693, + "step": 9170 + }, + { + "epoch": 3.9, + "learning_rate": 8.285434391751556e-10, + "loss": 0.8465, + "step": 9171 + }, + { + "epoch": 3.9, + "learning_rate": 8.115496605748395e-10, + "loss": 0.5939, + "step": 9172 + }, + { + "epoch": 3.9, + "learning_rate": 7.947319201099257e-10, + "loss": 1.2555, + "step": 9173 + }, + { + "epoch": 3.9, + "learning_rate": 7.780902197550011e-10, + "loss": 1.0588, + "step": 9174 + }, + { + "epoch": 3.9, + "learning_rate": 7.616245614641693e-10, + "loss": 0.9921, + "step": 9175 + }, + { + "epoch": 3.9, + "learning_rate": 7.453349471712167e-10, + "loss": 1.42, + "step": 9176 + }, + { + "epoch": 3.9, + "learning_rate": 7.292213787884472e-10, + "loss": 1.0034, + "step": 9177 + }, + { + "epoch": 3.9, + "learning_rate": 7.132838582083467e-10, + "loss": 0.8677, + "step": 9178 + }, + { + "epoch": 3.9, + "learning_rate": 6.975223873020853e-10, + "loss": 0.8263, + "step": 9179 + }, + { + "epoch": 3.9, + "learning_rate": 6.819369679205157e-10, + "loss": 0.8512, + "step": 9180 + }, + { + "epoch": 3.9, + "learning_rate": 6.665276018936739e-10, + "loss": 1.0465, + "step": 9181 + }, + { + "epoch": 3.9, + "learning_rate": 6.51294291030946e-10, + "loss": 0.7765, + "step": 9182 + }, + { + "epoch": 3.9, + "learning_rate": 6.362370371212345e-10, + "loss": 0.8056, + "step": 9183 + }, + { + "epoch": 3.9, + "learning_rate": 6.213558419322917e-10, + "loss": 0.998, + "step": 9184 + }, + { + "epoch": 3.9, + "learning_rate": 6.0665070721172e-10, + "loss": 0.6157, + "step": 9185 + }, + { + "epoch": 3.9, + "learning_rate": 5.921216346863045e-10, + "loss": 0.7699, + "step": 9186 + }, + { + "epoch": 3.9, + "learning_rate": 5.77768626061681e-10, + "loss": 0.6766, + "step": 9187 + }, + { + "epoch": 3.9, + "learning_rate": 5.635916830236676e-10, + "loss": 1.1989, + "step": 9188 + }, + { + "epoch": 3.9, + "learning_rate": 5.495908072367661e-10, + "loss": 0.622, + "step": 9189 + }, + { + "epoch": 3.9, + "learning_rate": 5.357660003449949e-10, + "loss": 0.8056, + "step": 9190 + }, + { + "epoch": 3.91, + "learning_rate": 5.221172639715555e-10, + "loss": 0.7291, + "step": 9191 + }, + { + "epoch": 3.91, + "learning_rate": 5.086445997194988e-10, + "loss": 1.0384, + "step": 9192 + }, + { + "epoch": 3.91, + "learning_rate": 4.953480091703932e-10, + "loss": 1.1424, + "step": 9193 + }, + { + "epoch": 3.91, + "learning_rate": 4.822274938858229e-10, + "loss": 0.8935, + "step": 9194 + }, + { + "epoch": 3.91, + "learning_rate": 4.692830554062222e-10, + "loss": 0.9053, + "step": 9195 + }, + { + "epoch": 3.91, + "learning_rate": 4.565146952517085e-10, + "loss": 0.8371, + "step": 9196 + }, + { + "epoch": 3.91, + "learning_rate": 4.4392241492158256e-10, + "loss": 1.0369, + "step": 9197 + }, + { + "epoch": 3.91, + "learning_rate": 4.315062158944949e-10, + "loss": 0.7209, + "step": 9198 + }, + { + "epoch": 3.91, + "learning_rate": 4.192660996281128e-10, + "loss": 0.667, + "step": 9199 + }, + { + "epoch": 3.91, + "learning_rate": 4.07202067559953e-10, + "loss": 1.0014, + "step": 9200 + }, + { + "epoch": 3.91, + "learning_rate": 3.953141211065492e-10, + "loss": 0.8355, + "step": 9201 + }, + { + "epoch": 3.91, + "learning_rate": 3.836022616639512e-10, + "loss": 1.1766, + "step": 9202 + }, + { + "epoch": 3.91, + "learning_rate": 3.7206649060705923e-10, + "loss": 1.0663, + "step": 9203 + }, + { + "epoch": 3.91, + "learning_rate": 3.6070680929062293e-10, + "loss": 0.7395, + "step": 9204 + }, + { + "epoch": 3.91, + "learning_rate": 3.4952321904857533e-10, + "loss": 0.6171, + "step": 9205 + }, + { + "epoch": 3.91, + "learning_rate": 3.385157211938661e-10, + "loss": 0.9571, + "step": 9206 + }, + { + "epoch": 3.91, + "learning_rate": 3.27684317019461e-10, + "loss": 1.0511, + "step": 9207 + }, + { + "epoch": 3.91, + "learning_rate": 3.17029007796843e-10, + "loss": 1.1745, + "step": 9208 + }, + { + "epoch": 3.91, + "learning_rate": 3.065497947771778e-10, + "loss": 0.898, + "step": 9209 + }, + { + "epoch": 3.91, + "learning_rate": 2.962466791913143e-10, + "loss": 0.8422, + "step": 9210 + }, + { + "epoch": 3.91, + "learning_rate": 2.861196622486184e-10, + "loss": 0.8937, + "step": 9211 + }, + { + "epoch": 3.91, + "learning_rate": 2.7616874513847203e-10, + "loss": 0.8663, + "step": 9212 + }, + { + "epoch": 3.91, + "learning_rate": 2.663939290294404e-10, + "loss": 0.8079, + "step": 9213 + }, + { + "epoch": 3.91, + "learning_rate": 2.5679521506910553e-10, + "loss": 0.61, + "step": 9214 + }, + { + "epoch": 3.92, + "learning_rate": 2.4737260438456586e-10, + "loss": 0.908, + "step": 9215 + }, + { + "epoch": 3.92, + "learning_rate": 2.381260980822697e-10, + "loss": 1.0021, + "step": 9216 + }, + { + "epoch": 3.92, + "learning_rate": 2.2905569724818166e-10, + "loss": 0.7124, + "step": 9217 + }, + { + "epoch": 3.92, + "learning_rate": 2.2016140294711662e-10, + "loss": 0.915, + "step": 9218 + }, + { + "epoch": 3.92, + "learning_rate": 2.114432162234059e-10, + "loss": 0.7569, + "step": 9219 + }, + { + "epoch": 3.92, + "learning_rate": 2.029011381010637e-10, + "loss": 1.1805, + "step": 9220 + }, + { + "epoch": 3.92, + "learning_rate": 1.9453516958278793e-10, + "loss": 1.1938, + "step": 9221 + }, + { + "epoch": 3.92, + "learning_rate": 1.86345311651126e-10, + "loss": 1.1043, + "step": 9222 + }, + { + "epoch": 3.92, + "learning_rate": 1.7833156526780858e-10, + "loss": 0.7435, + "step": 9223 + }, + { + "epoch": 3.92, + "learning_rate": 1.704939313737497e-10, + "loss": 0.9414, + "step": 9224 + }, + { + "epoch": 3.92, + "learning_rate": 1.6283241088904667e-10, + "loss": 1.3407, + "step": 9225 + }, + { + "epoch": 3.92, + "learning_rate": 1.5534700471364626e-10, + "loss": 0.926, + "step": 9226 + }, + { + "epoch": 3.92, + "learning_rate": 1.480377137265121e-10, + "loss": 0.8795, + "step": 9227 + }, + { + "epoch": 3.92, + "learning_rate": 1.4090453878562448e-10, + "loss": 0.9758, + "step": 9228 + }, + { + "epoch": 3.92, + "learning_rate": 1.3394748072881323e-10, + "loss": 0.8707, + "step": 9229 + }, + { + "epoch": 3.92, + "learning_rate": 1.2716654037292497e-10, + "loss": 1.0753, + "step": 9230 + }, + { + "epoch": 3.92, + "learning_rate": 1.205617185141561e-10, + "loss": 0.9091, + "step": 9231 + }, + { + "epoch": 3.92, + "learning_rate": 1.1413301592805292e-10, + "loss": 0.6132, + "step": 9232 + }, + { + "epoch": 3.92, + "learning_rate": 1.0788043336951159e-10, + "loss": 1.0086, + "step": 9233 + }, + { + "epoch": 3.92, + "learning_rate": 1.0180397157294463e-10, + "loss": 1.0535, + "step": 9234 + }, + { + "epoch": 3.92, + "learning_rate": 9.59036312514483e-11, + "loss": 1.026, + "step": 9235 + }, + { + "epoch": 3.92, + "learning_rate": 9.017941309813482e-11, + "loss": 0.9926, + "step": 9236 + }, + { + "epoch": 3.92, + "learning_rate": 8.463131778513323e-11, + "loss": 0.9138, + "step": 9237 + }, + { + "epoch": 3.93, + "learning_rate": 7.925934596392237e-11, + "loss": 0.6608, + "step": 9238 + }, + { + "epoch": 3.93, + "learning_rate": 7.406349826499792e-11, + "loss": 1.1649, + "step": 9239 + }, + { + "epoch": 3.93, + "learning_rate": 6.904377529887151e-11, + "loss": 0.7007, + "step": 9240 + }, + { + "epoch": 3.93, + "learning_rate": 6.420017765490505e-11, + "loss": 0.5466, + "step": 9241 + }, + { + "epoch": 3.93, + "learning_rate": 5.953270590164373e-11, + "loss": 0.8929, + "step": 9242 + }, + { + "epoch": 3.93, + "learning_rate": 5.504136058714915e-11, + "loss": 0.903, + "step": 9243 + }, + { + "epoch": 3.93, + "learning_rate": 5.072614223916583e-11, + "loss": 0.9701, + "step": 9244 + }, + { + "epoch": 3.93, + "learning_rate": 4.658705136395547e-11, + "loss": 0.9035, + "step": 9245 + }, + { + "epoch": 3.93, + "learning_rate": 4.262408844779575e-11, + "loss": 0.947, + "step": 9246 + }, + { + "epoch": 3.93, + "learning_rate": 3.883725395581461e-11, + "loss": 1.1015, + "step": 9247 + }, + { + "epoch": 3.93, + "learning_rate": 3.522654833298944e-11, + "loss": 0.8617, + "step": 9248 + }, + { + "epoch": 3.93, + "learning_rate": 3.179197200298134e-11, + "loss": 1.0385, + "step": 9249 + }, + { + "epoch": 3.93, + "learning_rate": 2.8533525369300872e-11, + "loss": 0.8315, + "step": 9250 + }, + { + "epoch": 3.93, + "learning_rate": 2.5451208814641914e-11, + "loss": 1.0983, + "step": 9251 + }, + { + "epoch": 3.93, + "learning_rate": 2.254502270054859e-11, + "loss": 0.8485, + "step": 9252 + }, + { + "epoch": 3.93, + "learning_rate": 1.9814967368581017e-11, + "loss": 1.1176, + "step": 9253 + }, + { + "epoch": 3.93, + "learning_rate": 1.726104313931609e-11, + "loss": 0.7517, + "step": 9254 + }, + { + "epoch": 3.93, + "learning_rate": 1.488325031251403e-11, + "loss": 1.3063, + "step": 9255 + }, + { + "epoch": 3.93, + "learning_rate": 1.2681589167284902e-11, + "loss": 0.7197, + "step": 9256 + }, + { + "epoch": 3.93, + "learning_rate": 1.0656059962421694e-11, + "loss": 0.9057, + "step": 9257 + }, + { + "epoch": 3.93, + "learning_rate": 8.806662935734177e-12, + "loss": 0.8768, + "step": 9258 + }, + { + "epoch": 3.93, + "learning_rate": 7.13339830404891e-12, + "loss": 0.6736, + "step": 9259 + }, + { + "epoch": 3.93, + "learning_rate": 5.636266264374968e-12, + "loss": 0.5764, + "step": 9260 + }, + { + "epoch": 3.94, + "learning_rate": 4.3152669920720756e-12, + "loss": 0.7504, + "step": 9261 + }, + { + "epoch": 3.94, + "learning_rate": 3.1704006423494137e-12, + "loss": 0.9519, + "step": 9262 + }, + { + "epoch": 3.94, + "learning_rate": 2.2016673497660124e-12, + "loss": 0.6099, + "step": 9263 + }, + { + "epoch": 3.94, + "learning_rate": 1.4090672278976868e-12, + "loss": 0.7569, + "step": 9264 + }, + { + "epoch": 3.94, + "learning_rate": 7.926003700031714e-13, + "loss": 1.2467, + "step": 9265 + }, + { + "epoch": 3.94, + "learning_rate": 3.5226684835798496e-13, + "loss": 1.0045, + "step": 9266 + }, + { + "epoch": 3.94, + "learning_rate": 8.806671458749805e-14, + "loss": 0.8938, + "step": 9267 + }, + { + "epoch": 3.94, + "learning_rate": 0.0, + "loss": 1.0135, + "step": 9268 + } + ], + "logging_steps": 1, + "max_steps": 9268, + "num_input_tokens_seen": 0, + "num_train_epochs": 4, + "save_steps": 2317, + "total_flos": 3.120536549138104e+17, + "train_batch_size": 2, + "trial_name": null, + "trial_params": null +}