{ "best_metric": null, "best_model_checkpoint": null, "epoch": 1.0, "eval_steps": 48, "global_step": 190, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.01, "grad_norm": 51.5, "learning_rate": 2.0000000000000003e-06, "loss": 5.2368, "step": 1 }, { "epoch": 0.01, "eval_loss": 4.782614707946777, "eval_runtime": 50.8138, "eval_samples_per_second": 20.742, "eval_steps_per_second": 20.742, "step": 1 }, { "epoch": 0.01, "grad_norm": 48.25, "learning_rate": 4.000000000000001e-06, "loss": 4.8965, "step": 2 }, { "epoch": 0.02, "grad_norm": 49.25, "learning_rate": 6e-06, "loss": 5.0969, "step": 3 }, { "epoch": 0.02, "grad_norm": 51.5, "learning_rate": 8.000000000000001e-06, "loss": 5.0122, "step": 4 }, { "epoch": 0.03, "grad_norm": 48.75, "learning_rate": 1e-05, "loss": 5.2505, "step": 5 }, { "epoch": 0.03, "grad_norm": 45.25, "learning_rate": 1.2e-05, "loss": 4.8966, "step": 6 }, { "epoch": 0.04, "grad_norm": 37.5, "learning_rate": 1.4000000000000001e-05, "loss": 4.4979, "step": 7 }, { "epoch": 0.04, "grad_norm": 30.125, "learning_rate": 1.6000000000000003e-05, "loss": 4.2038, "step": 8 }, { "epoch": 0.05, "grad_norm": 29.625, "learning_rate": 1.8e-05, "loss": 4.3498, "step": 9 }, { "epoch": 0.05, "grad_norm": 27.5, "learning_rate": 2e-05, "loss": 4.0182, "step": 10 }, { "epoch": 0.06, "grad_norm": 29.875, "learning_rate": 2.2000000000000003e-05, "loss": 3.6018, "step": 11 }, { "epoch": 0.06, "grad_norm": 27.375, "learning_rate": 2.4e-05, "loss": 3.4676, "step": 12 }, { "epoch": 0.07, "grad_norm": 33.5, "learning_rate": 2.6000000000000002e-05, "loss": 3.1663, "step": 13 }, { "epoch": 0.07, "grad_norm": 20.0, "learning_rate": 2.8000000000000003e-05, "loss": 3.0102, "step": 14 }, { "epoch": 0.08, "grad_norm": 15.5, "learning_rate": 3e-05, "loss": 2.9281, "step": 15 }, { "epoch": 0.08, "grad_norm": 17.75, "learning_rate": 3.2000000000000005e-05, "loss": 2.7986, "step": 16 }, { "epoch": 0.09, "grad_norm": 11.0, "learning_rate": 3.4000000000000007e-05, "loss": 2.7211, "step": 17 }, { "epoch": 0.09, "grad_norm": 15.5, "learning_rate": 3.6e-05, "loss": 2.5806, "step": 18 }, { "epoch": 0.1, "grad_norm": 17.375, "learning_rate": 3.8e-05, "loss": 2.4546, "step": 19 }, { "epoch": 0.11, "grad_norm": 10.0625, "learning_rate": 4e-05, "loss": 2.6552, "step": 20 }, { "epoch": 0.11, "grad_norm": 11.0625, "learning_rate": 4.2e-05, "loss": 2.4723, "step": 21 }, { "epoch": 0.12, "grad_norm": 10.375, "learning_rate": 4.4000000000000006e-05, "loss": 2.5615, "step": 22 }, { "epoch": 0.12, "grad_norm": 12.5, "learning_rate": 4.600000000000001e-05, "loss": 2.4721, "step": 23 }, { "epoch": 0.13, "grad_norm": 8.75, "learning_rate": 4.8e-05, "loss": 2.3344, "step": 24 }, { "epoch": 0.13, "grad_norm": 14.25, "learning_rate": 5e-05, "loss": 2.4028, "step": 25 }, { "epoch": 0.14, "grad_norm": 9.5625, "learning_rate": 5.2000000000000004e-05, "loss": 2.3864, "step": 26 }, { "epoch": 0.14, "grad_norm": 11.75, "learning_rate": 5.4000000000000005e-05, "loss": 2.3027, "step": 27 }, { "epoch": 0.15, "grad_norm": 11.5625, "learning_rate": 5.6000000000000006e-05, "loss": 2.4142, "step": 28 }, { "epoch": 0.15, "grad_norm": 8.5625, "learning_rate": 5.8e-05, "loss": 2.3577, "step": 29 }, { "epoch": 0.16, "grad_norm": 10.8125, "learning_rate": 6e-05, "loss": 2.2604, "step": 30 }, { "epoch": 0.16, "grad_norm": 12.0625, "learning_rate": 6.2e-05, "loss": 2.1379, "step": 31 }, { "epoch": 0.17, "grad_norm": 12.875, "learning_rate": 6.400000000000001e-05, "loss": 2.2754, "step": 32 }, { "epoch": 0.17, "grad_norm": 14.1875, "learning_rate": 6.6e-05, "loss": 2.1848, "step": 33 }, { "epoch": 0.18, "grad_norm": 12.5625, "learning_rate": 6.800000000000001e-05, "loss": 2.2751, "step": 34 }, { "epoch": 0.18, "grad_norm": 10.125, "learning_rate": 7e-05, "loss": 2.2342, "step": 35 }, { "epoch": 0.19, "grad_norm": 10.3125, "learning_rate": 7.2e-05, "loss": 2.1432, "step": 36 }, { "epoch": 0.19, "grad_norm": 15.5, "learning_rate": 7.4e-05, "loss": 2.4477, "step": 37 }, { "epoch": 0.2, "grad_norm": 13.0625, "learning_rate": 7.6e-05, "loss": 2.4045, "step": 38 }, { "epoch": 0.21, "grad_norm": 9.125, "learning_rate": 7.800000000000001e-05, "loss": 2.4156, "step": 39 }, { "epoch": 0.21, "grad_norm": 10.5, "learning_rate": 8e-05, "loss": 2.2679, "step": 40 }, { "epoch": 0.22, "grad_norm": 11.75, "learning_rate": 8.2e-05, "loss": 2.3045, "step": 41 }, { "epoch": 0.22, "grad_norm": 13.5, "learning_rate": 8.4e-05, "loss": 2.0572, "step": 42 }, { "epoch": 0.23, "grad_norm": 13.75, "learning_rate": 8.6e-05, "loss": 2.1523, "step": 43 }, { "epoch": 0.23, "grad_norm": 11.875, "learning_rate": 8.800000000000001e-05, "loss": 2.1531, "step": 44 }, { "epoch": 0.24, "grad_norm": 11.6875, "learning_rate": 9e-05, "loss": 1.9768, "step": 45 }, { "epoch": 0.24, "grad_norm": 8.125, "learning_rate": 9.200000000000001e-05, "loss": 2.4555, "step": 46 }, { "epoch": 0.25, "grad_norm": 6.625, "learning_rate": 9.4e-05, "loss": 2.3451, "step": 47 }, { "epoch": 0.25, "grad_norm": 16.5, "learning_rate": 9.6e-05, "loss": 2.2757, "step": 48 }, { "epoch": 0.25, "eval_loss": 2.3981776237487793, "eval_runtime": 50.6747, "eval_samples_per_second": 20.799, "eval_steps_per_second": 20.799, "step": 48 }, { "epoch": 0.26, "grad_norm": 16.25, "learning_rate": 9.8e-05, "loss": 2.4249, "step": 49 }, { "epoch": 0.26, "grad_norm": 5.84375, "learning_rate": 0.0001, "loss": 2.306, "step": 50 }, { "epoch": 0.27, "grad_norm": 7.75, "learning_rate": 0.00010200000000000001, "loss": 2.4711, "step": 51 }, { "epoch": 0.27, "grad_norm": 9.1875, "learning_rate": 0.00010400000000000001, "loss": 2.3926, "step": 52 }, { "epoch": 0.28, "grad_norm": 13.125, "learning_rate": 0.00010600000000000002, "loss": 2.1229, "step": 53 }, { "epoch": 0.28, "grad_norm": 9.8125, "learning_rate": 0.00010800000000000001, "loss": 2.0945, "step": 54 }, { "epoch": 0.29, "grad_norm": 12.375, "learning_rate": 0.00011000000000000002, "loss": 2.248, "step": 55 }, { "epoch": 0.29, "grad_norm": 8.125, "learning_rate": 0.00011200000000000001, "loss": 2.349, "step": 56 }, { "epoch": 0.3, "grad_norm": 15.5625, "learning_rate": 0.00011399999999999999, "loss": 2.2546, "step": 57 }, { "epoch": 0.31, "grad_norm": 13.5, "learning_rate": 0.000116, "loss": 2.4298, "step": 58 }, { "epoch": 0.31, "grad_norm": 8.3125, "learning_rate": 0.000118, "loss": 2.1131, "step": 59 }, { "epoch": 0.32, "grad_norm": 8.625, "learning_rate": 0.00012, "loss": 2.2696, "step": 60 }, { "epoch": 0.32, "grad_norm": 6.21875, "learning_rate": 0.000122, "loss": 2.244, "step": 61 }, { "epoch": 0.33, "grad_norm": 5.875, "learning_rate": 0.000124, "loss": 2.1473, "step": 62 }, { "epoch": 0.33, "grad_norm": 7.28125, "learning_rate": 0.000126, "loss": 2.2231, "step": 63 }, { "epoch": 0.34, "grad_norm": 5.1875, "learning_rate": 0.00012800000000000002, "loss": 2.0796, "step": 64 }, { "epoch": 0.34, "grad_norm": 7.59375, "learning_rate": 0.00013000000000000002, "loss": 2.3191, "step": 65 }, { "epoch": 0.35, "grad_norm": 6.53125, "learning_rate": 0.000132, "loss": 2.214, "step": 66 }, { "epoch": 0.35, "grad_norm": 8.375, "learning_rate": 0.000134, "loss": 2.3527, "step": 67 }, { "epoch": 0.36, "grad_norm": 7.09375, "learning_rate": 0.00013600000000000003, "loss": 2.3337, "step": 68 }, { "epoch": 0.36, "grad_norm": 7.28125, "learning_rate": 0.000138, "loss": 2.2933, "step": 69 }, { "epoch": 0.37, "grad_norm": 19.75, "learning_rate": 0.00014, "loss": 2.3885, "step": 70 }, { "epoch": 0.37, "grad_norm": 16.625, "learning_rate": 0.000142, "loss": 2.348, "step": 71 }, { "epoch": 0.38, "grad_norm": 6.0, "learning_rate": 0.000144, "loss": 2.2594, "step": 72 }, { "epoch": 0.38, "grad_norm": 11.875, "learning_rate": 0.000146, "loss": 2.5611, "step": 73 }, { "epoch": 0.39, "grad_norm": 5.875, "learning_rate": 0.000148, "loss": 2.0386, "step": 74 }, { "epoch": 0.39, "grad_norm": 16.0, "learning_rate": 0.00015000000000000001, "loss": 2.656, "step": 75 }, { "epoch": 0.4, "grad_norm": 8.1875, "learning_rate": 0.000152, "loss": 2.3885, "step": 76 }, { "epoch": 0.41, "grad_norm": 11.375, "learning_rate": 0.000154, "loss": 2.701, "step": 77 }, { "epoch": 0.41, "grad_norm": 8.75, "learning_rate": 0.00015600000000000002, "loss": 2.5388, "step": 78 }, { "epoch": 0.42, "grad_norm": 7.84375, "learning_rate": 0.00015800000000000002, "loss": 2.5263, "step": 79 }, { "epoch": 0.42, "grad_norm": 6.3125, "learning_rate": 0.00016, "loss": 2.7169, "step": 80 }, { "epoch": 0.43, "grad_norm": 19.125, "learning_rate": 0.000162, "loss": 2.504, "step": 81 }, { "epoch": 0.43, "grad_norm": 8.25, "learning_rate": 0.000164, "loss": 2.4614, "step": 82 }, { "epoch": 0.44, "grad_norm": 5.5625, "learning_rate": 0.000166, "loss": 2.7586, "step": 83 }, { "epoch": 0.44, "grad_norm": 8.3125, "learning_rate": 0.000168, "loss": 2.6373, "step": 84 }, { "epoch": 0.45, "grad_norm": 8.0625, "learning_rate": 0.00017, "loss": 2.3237, "step": 85 }, { "epoch": 0.45, "grad_norm": 8.4375, "learning_rate": 0.000172, "loss": 2.1896, "step": 86 }, { "epoch": 0.46, "grad_norm": 11.5625, "learning_rate": 0.000174, "loss": 2.5089, "step": 87 }, { "epoch": 0.46, "grad_norm": 7.15625, "learning_rate": 0.00017600000000000002, "loss": 2.5806, "step": 88 }, { "epoch": 0.47, "grad_norm": 8.875, "learning_rate": 0.00017800000000000002, "loss": 2.5497, "step": 89 }, { "epoch": 0.47, "grad_norm": 8.6875, "learning_rate": 0.00018, "loss": 2.3526, "step": 90 }, { "epoch": 0.48, "grad_norm": 5.96875, "learning_rate": 0.000182, "loss": 2.283, "step": 91 }, { "epoch": 0.48, "grad_norm": 6.375, "learning_rate": 0.00018400000000000003, "loss": 2.5388, "step": 92 }, { "epoch": 0.49, "grad_norm": 5.5625, "learning_rate": 0.00018600000000000002, "loss": 2.4216, "step": 93 }, { "epoch": 0.49, "grad_norm": 5.5625, "learning_rate": 0.000188, "loss": 2.4199, "step": 94 }, { "epoch": 0.5, "grad_norm": 6.5, "learning_rate": 0.00019, "loss": 2.6459, "step": 95 }, { "epoch": 0.51, "grad_norm": 5.46875, "learning_rate": 0.000192, "loss": 2.5869, "step": 96 }, { "epoch": 0.51, "eval_loss": 2.5119166374206543, "eval_runtime": 50.7277, "eval_samples_per_second": 20.778, "eval_steps_per_second": 20.778, "step": 96 }, { "epoch": 0.51, "grad_norm": 5.3125, "learning_rate": 0.000194, "loss": 2.6162, "step": 97 }, { "epoch": 0.52, "grad_norm": 6.5625, "learning_rate": 0.000196, "loss": 2.605, "step": 98 }, { "epoch": 0.52, "grad_norm": 4.9375, "learning_rate": 0.00019800000000000002, "loss": 2.4971, "step": 99 }, { "epoch": 0.53, "grad_norm": 8.8125, "learning_rate": 0.0002, "loss": 2.4572, "step": 100 }, { "epoch": 0.53, "grad_norm": 5.96875, "learning_rate": 0.0001999390827019096, "loss": 2.4781, "step": 101 }, { "epoch": 0.54, "grad_norm": 9.3125, "learning_rate": 0.00019975640502598244, "loss": 2.5578, "step": 102 }, { "epoch": 0.54, "grad_norm": 5.625, "learning_rate": 0.00019945218953682734, "loss": 2.4608, "step": 103 }, { "epoch": 0.55, "grad_norm": 6.65625, "learning_rate": 0.00019902680687415705, "loss": 2.874, "step": 104 }, { "epoch": 0.55, "grad_norm": 10.875, "learning_rate": 0.00019848077530122083, "loss": 2.8733, "step": 105 }, { "epoch": 0.56, "grad_norm": 1568.0, "learning_rate": 0.00019781476007338058, "loss": 6.3646, "step": 106 }, { "epoch": 0.56, "grad_norm": 648.0, "learning_rate": 0.00019702957262759965, "loss": 3.75, "step": 107 }, { "epoch": 0.57, "grad_norm": 11.0625, "learning_rate": 0.0001961261695938319, "loss": 2.8153, "step": 108 }, { "epoch": 0.57, "grad_norm": 6.375, "learning_rate": 0.00019510565162951537, "loss": 2.7939, "step": 109 }, { "epoch": 0.58, "grad_norm": 8.25, "learning_rate": 0.00019396926207859084, "loss": 2.8736, "step": 110 }, { "epoch": 0.58, "grad_norm": 7.21875, "learning_rate": 0.00019271838545667876, "loss": 2.4797, "step": 111 }, { "epoch": 0.59, "grad_norm": 5.6875, "learning_rate": 0.0001913545457642601, "loss": 2.7665, "step": 112 }, { "epoch": 0.59, "grad_norm": 6.625, "learning_rate": 0.0001898794046299167, "loss": 2.6241, "step": 113 }, { "epoch": 0.6, "grad_norm": 4.65625, "learning_rate": 0.00018829475928589271, "loss": 2.5569, "step": 114 }, { "epoch": 0.61, "grad_norm": 6.6875, "learning_rate": 0.00018660254037844388, "loss": 2.6452, "step": 115 }, { "epoch": 0.61, "grad_norm": 4.6875, "learning_rate": 0.0001848048096156426, "loss": 2.6205, "step": 116 }, { "epoch": 0.62, "grad_norm": 6.53125, "learning_rate": 0.00018290375725550417, "loss": 2.5831, "step": 117 }, { "epoch": 0.62, "grad_norm": 5.90625, "learning_rate": 0.00018090169943749476, "loss": 2.6601, "step": 118 }, { "epoch": 0.63, "grad_norm": 6.6875, "learning_rate": 0.00017880107536067218, "loss": 2.5187, "step": 119 }, { "epoch": 0.63, "grad_norm": 5.53125, "learning_rate": 0.0001766044443118978, "loss": 2.5023, "step": 120 }, { "epoch": 0.64, "grad_norm": 7.84375, "learning_rate": 0.00017431448254773944, "loss": 2.6064, "step": 121 }, { "epoch": 0.64, "grad_norm": 7.65625, "learning_rate": 0.0001719339800338651, "loss": 2.5065, "step": 122 }, { "epoch": 0.65, "grad_norm": 6.15625, "learning_rate": 0.00016946583704589973, "loss": 2.6022, "step": 123 }, { "epoch": 0.65, "grad_norm": 5.15625, "learning_rate": 0.00016691306063588583, "loss": 2.5981, "step": 124 }, { "epoch": 0.66, "grad_norm": 5.28125, "learning_rate": 0.00016427876096865394, "loss": 2.6804, "step": 125 }, { "epoch": 0.66, "grad_norm": 5.71875, "learning_rate": 0.0001615661475325658, "loss": 2.7233, "step": 126 }, { "epoch": 0.67, "grad_norm": 3.84375, "learning_rate": 0.00015877852522924732, "loss": 2.4712, "step": 127 }, { "epoch": 0.67, "grad_norm": 5.9375, "learning_rate": 0.0001559192903470747, "loss": 2.4518, "step": 128 }, { "epoch": 0.68, "grad_norm": 4.53125, "learning_rate": 0.0001529919264233205, "loss": 2.5456, "step": 129 }, { "epoch": 0.68, "grad_norm": 5.4375, "learning_rate": 0.00015000000000000001, "loss": 2.4622, "step": 130 }, { "epoch": 0.69, "grad_norm": 4.84375, "learning_rate": 0.00014694715627858908, "loss": 2.6133, "step": 131 }, { "epoch": 0.69, "grad_norm": 5.65625, "learning_rate": 0.00014383711467890774, "loss": 2.4844, "step": 132 }, { "epoch": 0.7, "grad_norm": 5.09375, "learning_rate": 0.00014067366430758004, "loss": 2.676, "step": 133 }, { "epoch": 0.71, "grad_norm": 6.65625, "learning_rate": 0.00013746065934159123, "loss": 2.6896, "step": 134 }, { "epoch": 0.71, "grad_norm": 5.5625, "learning_rate": 0.00013420201433256689, "loss": 2.5363, "step": 135 }, { "epoch": 0.72, "grad_norm": 4.34375, "learning_rate": 0.00013090169943749476, "loss": 2.2558, "step": 136 }, { "epoch": 0.72, "grad_norm": 6.53125, "learning_rate": 0.0001275637355816999, "loss": 2.5952, "step": 137 }, { "epoch": 0.73, "grad_norm": 4.28125, "learning_rate": 0.00012419218955996676, "loss": 2.3442, "step": 138 }, { "epoch": 0.73, "grad_norm": 4.28125, "learning_rate": 0.00012079116908177593, "loss": 2.4271, "step": 139 }, { "epoch": 0.74, "grad_norm": 4.28125, "learning_rate": 0.00011736481776669306, "loss": 2.4587, "step": 140 }, { "epoch": 0.74, "grad_norm": 3.671875, "learning_rate": 0.00011391731009600654, "loss": 2.5501, "step": 141 }, { "epoch": 0.75, "grad_norm": 5.375, "learning_rate": 0.00011045284632676536, "loss": 2.4936, "step": 142 }, { "epoch": 0.75, "grad_norm": 5.5625, "learning_rate": 0.00010697564737441252, "loss": 2.1856, "step": 143 }, { "epoch": 0.76, "grad_norm": 4.03125, "learning_rate": 0.00010348994967025012, "loss": 2.664, "step": 144 }, { "epoch": 0.76, "eval_loss": 2.378908395767212, "eval_runtime": 50.7719, "eval_samples_per_second": 20.76, "eval_steps_per_second": 20.76, "step": 144 }, { "epoch": 0.76, "grad_norm": 5.15625, "learning_rate": 0.0001, "loss": 2.4778, "step": 145 }, { "epoch": 0.77, "grad_norm": 4.625, "learning_rate": 9.651005032974994e-05, "loss": 2.388, "step": 146 }, { "epoch": 0.77, "grad_norm": 4.1875, "learning_rate": 9.302435262558747e-05, "loss": 2.4377, "step": 147 }, { "epoch": 0.78, "grad_norm": 6.40625, "learning_rate": 8.954715367323468e-05, "loss": 2.5183, "step": 148 }, { "epoch": 0.78, "grad_norm": 5.09375, "learning_rate": 8.608268990399349e-05, "loss": 2.5759, "step": 149 }, { "epoch": 0.79, "grad_norm": 4.4375, "learning_rate": 8.263518223330697e-05, "loss": 2.6291, "step": 150 }, { "epoch": 0.79, "grad_norm": 5.0625, "learning_rate": 7.920883091822408e-05, "loss": 2.3462, "step": 151 }, { "epoch": 0.8, "grad_norm": 3.875, "learning_rate": 7.580781044003324e-05, "loss": 2.1391, "step": 152 }, { "epoch": 0.81, "grad_norm": 3.625, "learning_rate": 7.243626441830009e-05, "loss": 2.3882, "step": 153 }, { "epoch": 0.81, "grad_norm": 4.21875, "learning_rate": 6.909830056250527e-05, "loss": 2.3264, "step": 154 }, { "epoch": 0.82, "grad_norm": 3.90625, "learning_rate": 6.579798566743314e-05, "loss": 2.2026, "step": 155 }, { "epoch": 0.82, "grad_norm": 5.75, "learning_rate": 6.25393406584088e-05, "loss": 2.5855, "step": 156 }, { "epoch": 0.83, "grad_norm": 4.6875, "learning_rate": 5.9326335692419995e-05, "loss": 2.2483, "step": 157 }, { "epoch": 0.83, "grad_norm": 3.65625, "learning_rate": 5.616288532109225e-05, "loss": 2.1449, "step": 158 }, { "epoch": 0.84, "grad_norm": 3.578125, "learning_rate": 5.305284372141095e-05, "loss": 2.2383, "step": 159 }, { "epoch": 0.84, "grad_norm": 3.65625, "learning_rate": 5.000000000000002e-05, "loss": 2.2851, "step": 160 }, { "epoch": 0.85, "grad_norm": 4.125, "learning_rate": 4.700807357667952e-05, "loss": 2.4617, "step": 161 }, { "epoch": 0.85, "grad_norm": 4.4375, "learning_rate": 4.4080709652925336e-05, "loss": 2.1831, "step": 162 }, { "epoch": 0.86, "grad_norm": 4.3125, "learning_rate": 4.12214747707527e-05, "loss": 2.2079, "step": 163 }, { "epoch": 0.86, "grad_norm": 3.28125, "learning_rate": 3.843385246743417e-05, "loss": 2.309, "step": 164 }, { "epoch": 0.87, "grad_norm": 5.15625, "learning_rate": 3.5721239031346066e-05, "loss": 2.4679, "step": 165 }, { "epoch": 0.87, "grad_norm": 5.09375, "learning_rate": 3.308693936411421e-05, "loss": 2.3249, "step": 166 }, { "epoch": 0.88, "grad_norm": 4.625, "learning_rate": 3.053416295410026e-05, "loss": 2.2908, "step": 167 }, { "epoch": 0.88, "grad_norm": 3.90625, "learning_rate": 2.8066019966134904e-05, "loss": 2.3121, "step": 168 }, { "epoch": 0.89, "grad_norm": 3.8125, "learning_rate": 2.5685517452260567e-05, "loss": 2.2577, "step": 169 }, { "epoch": 0.89, "grad_norm": 3.453125, "learning_rate": 2.339555568810221e-05, "loss": 2.2002, "step": 170 }, { "epoch": 0.9, "grad_norm": 3.84375, "learning_rate": 2.119892463932781e-05, "loss": 2.4345, "step": 171 }, { "epoch": 0.91, "grad_norm": 4.21875, "learning_rate": 1.9098300562505266e-05, "loss": 2.2662, "step": 172 }, { "epoch": 0.91, "grad_norm": 3.546875, "learning_rate": 1.7096242744495837e-05, "loss": 2.4411, "step": 173 }, { "epoch": 0.92, "grad_norm": 3.640625, "learning_rate": 1.5195190384357404e-05, "loss": 2.4609, "step": 174 }, { "epoch": 0.92, "grad_norm": 4.375, "learning_rate": 1.339745962155613e-05, "loss": 2.3615, "step": 175 }, { "epoch": 0.93, "grad_norm": 3.4375, "learning_rate": 1.1705240714107302e-05, "loss": 2.2071, "step": 176 }, { "epoch": 0.93, "grad_norm": 3.578125, "learning_rate": 1.0120595370083318e-05, "loss": 2.3504, "step": 177 }, { "epoch": 0.94, "grad_norm": 3.578125, "learning_rate": 8.645454235739903e-06, "loss": 2.2771, "step": 178 }, { "epoch": 0.94, "grad_norm": 3.5625, "learning_rate": 7.281614543321269e-06, "loss": 2.3663, "step": 179 }, { "epoch": 0.95, "grad_norm": 3.234375, "learning_rate": 6.030737921409169e-06, "loss": 2.4842, "step": 180 }, { "epoch": 0.95, "grad_norm": 3.5625, "learning_rate": 4.8943483704846475e-06, "loss": 2.3921, "step": 181 }, { "epoch": 0.96, "grad_norm": 3.484375, "learning_rate": 3.873830406168111e-06, "loss": 2.3467, "step": 182 }, { "epoch": 0.96, "grad_norm": 3.34375, "learning_rate": 2.970427372400353e-06, "loss": 2.3193, "step": 183 }, { "epoch": 0.97, "grad_norm": 3.71875, "learning_rate": 2.1852399266194314e-06, "loss": 2.3215, "step": 184 }, { "epoch": 0.97, "grad_norm": 3.5625, "learning_rate": 1.5192246987791981e-06, "loss": 2.1687, "step": 185 }, { "epoch": 0.98, "grad_norm": 3.359375, "learning_rate": 9.731931258429638e-07, "loss": 2.2471, "step": 186 }, { "epoch": 0.98, "grad_norm": 3.203125, "learning_rate": 5.478104631726711e-07, "loss": 2.356, "step": 187 }, { "epoch": 0.99, "grad_norm": 3.25, "learning_rate": 2.4359497401758024e-07, "loss": 2.2989, "step": 188 }, { "epoch": 0.99, "grad_norm": 3.15625, "learning_rate": 6.09172980904238e-08, "loss": 2.0376, "step": 189 }, { "epoch": 1.0, "grad_norm": 3.625, "learning_rate": 0.0, "loss": 2.5224, "step": 190 } ], "logging_steps": 1, "max_steps": 190, "num_input_tokens_seen": 0, "num_train_epochs": 1, "save_steps": 500, "total_flos": 2415296753172480.0, "train_batch_size": 1, "trial_name": null, "trial_params": null }