diff --git "a/checkpoint-5400/trainer_state.json" "b/checkpoint-5400/trainer_state.json" new file mode 100644--- /dev/null +++ "b/checkpoint-5400/trainer_state.json" @@ -0,0 +1,34336 @@ +{ + "best_metric": 0.7611117959022522, + "best_model_checkpoint": "experts/mistralic-expert-16/checkpoint-1000", + "epoch": 0.8555471937259872, + "eval_steps": 200, + "global_step": 5400, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6637, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.8401, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 1.0213, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.8495, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6978, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.5753, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 1.0964, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7564, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7727, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.628, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6582, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.503, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7947, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7498, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.8223, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6472, + "step": 16 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.5838, + "step": 17 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.5898, + "step": 18 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.8151, + "step": 19 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.9615, + "step": 20 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.5262, + "step": 21 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6605, + "step": 22 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.8336, + "step": 23 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6619, + "step": 24 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.5939, + "step": 25 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6649, + "step": 26 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 2.0444, + "step": 27 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 1.0032, + "step": 28 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7444, + "step": 29 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6473, + "step": 30 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.559, + "step": 31 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8879, + "step": 32 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7444, + "step": 33 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.0212, + "step": 34 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7099, + "step": 35 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8135, + "step": 36 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7646, + "step": 37 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6463, + "step": 38 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.624, + "step": 39 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8538, + "step": 40 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8128, + "step": 41 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6866, + "step": 42 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8001, + "step": 43 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8757, + "step": 44 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8471, + "step": 45 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7411, + "step": 46 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9945, + "step": 47 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9166, + "step": 48 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9938, + "step": 49 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5628, + "step": 50 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.0387, + "step": 51 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8389, + "step": 52 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6579, + "step": 53 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8494, + "step": 54 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.035, + "step": 55 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.1137, + "step": 56 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7357, + "step": 57 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8016, + "step": 58 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7981, + "step": 59 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.4606, + "step": 60 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6416, + "step": 61 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7766, + "step": 62 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6493, + "step": 63 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8368, + "step": 64 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5657, + "step": 65 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7935, + "step": 66 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8966, + "step": 67 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6217, + "step": 68 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8815, + "step": 69 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.0261, + "step": 70 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8171, + "step": 71 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9208, + "step": 72 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.808, + "step": 73 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8998, + "step": 74 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8616, + "step": 75 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.923, + "step": 76 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6681, + "step": 77 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7372, + "step": 78 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7878, + "step": 79 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.4749, + "step": 80 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7724, + "step": 81 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6716, + "step": 82 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.0098, + "step": 83 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5414, + "step": 84 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8, + "step": 85 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6042, + "step": 86 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7772, + "step": 87 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7977, + "step": 88 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8397, + "step": 89 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6203, + "step": 90 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8338, + "step": 91 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7896, + "step": 92 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9499, + "step": 93 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5947, + "step": 94 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8759, + "step": 95 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6693, + "step": 96 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6887, + "step": 97 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7044, + "step": 98 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.0049, + "step": 99 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.795, + "step": 100 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.0949, + "step": 101 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8985, + "step": 102 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5345, + "step": 103 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6864, + "step": 104 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9974, + "step": 105 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5856, + "step": 106 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7511, + "step": 107 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5102, + "step": 108 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7603, + "step": 109 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8859, + "step": 110 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6276, + "step": 111 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9779, + "step": 112 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.992, + "step": 113 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5208, + "step": 114 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7567, + "step": 115 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5836, + "step": 116 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6989, + "step": 117 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.598, + "step": 118 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7416, + "step": 119 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6019, + "step": 120 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9242, + "step": 121 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7589, + "step": 122 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3751, + "step": 123 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6616, + "step": 124 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6024, + "step": 125 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7027, + "step": 126 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9824, + "step": 127 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5769, + "step": 128 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6134, + "step": 129 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5904, + "step": 130 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7515, + "step": 131 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6977, + "step": 132 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6833, + "step": 133 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7729, + "step": 134 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7972, + "step": 135 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7763, + "step": 136 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8101, + "step": 137 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.976, + "step": 138 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6232, + "step": 139 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.5322, + "step": 140 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8825, + "step": 141 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7715, + "step": 142 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7375, + "step": 143 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9355, + "step": 144 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.147, + "step": 145 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8728, + "step": 146 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8857, + "step": 147 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5422, + "step": 148 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6288, + "step": 149 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7528, + "step": 150 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7872, + "step": 151 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7407, + "step": 152 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9563, + "step": 153 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.0431, + "step": 154 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.035, + "step": 155 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7889, + "step": 156 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9344, + "step": 157 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.796, + "step": 158 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7938, + "step": 159 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.5437, + "step": 160 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9359, + "step": 161 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.87, + "step": 162 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6749, + "step": 163 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8073, + "step": 164 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8534, + "step": 165 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8366, + "step": 166 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.0977, + "step": 167 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6232, + "step": 168 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8216, + "step": 169 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.5867, + "step": 170 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.0379, + "step": 171 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8962, + "step": 172 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7714, + "step": 173 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7251, + "step": 174 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6247, + "step": 175 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.5575, + "step": 176 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7877, + "step": 177 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.0638, + "step": 178 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8963, + "step": 179 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6579, + "step": 180 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7132, + "step": 181 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7348, + "step": 182 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.5733, + "step": 183 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7421, + "step": 184 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8896, + "step": 185 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8471, + "step": 186 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9158, + "step": 187 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.5107, + "step": 188 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9068, + "step": 189 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.0322, + "step": 190 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8791, + "step": 191 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.5369, + "step": 192 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.5376, + "step": 193 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9083, + "step": 194 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8257, + "step": 195 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8235, + "step": 196 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.5283, + "step": 197 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.656, + "step": 198 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7968, + "step": 199 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.536, + "step": 200 + }, + { + "epoch": 0.03, + "eval_loss": 0.7664799094200134, + "eval_runtime": 154.3432, + "eval_samples_per_second": 6.479, + "eval_steps_per_second": 3.24, + "step": 200 + }, + { + "epoch": 0.03, + "mmlu_eval_accuracy": 0.5963691469709991, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.75, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, + "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.6363636363636364, + "mmlu_eval_accuracy_conceptual_physics": 0.5, + "mmlu_eval_accuracy_econometrics": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.5625, + "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.5, + "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.6511627906976745, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.9230769230769231, + "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, + "mmlu_eval_accuracy_logical_fallacies": 0.7222222222222222, + "mmlu_eval_accuracy_machine_learning": 0.6363636363636364, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.92, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395, + "mmlu_eval_accuracy_moral_disputes": 0.6052631578947368, + "mmlu_eval_accuracy_moral_scenarios": 0.31, + "mmlu_eval_accuracy_nutrition": 0.7878787878787878, + "mmlu_eval_accuracy_philosophy": 0.6764705882352942, + "mmlu_eval_accuracy_prehistory": 0.6, + "mmlu_eval_accuracy_professional_accounting": 0.6774193548387096, + "mmlu_eval_accuracy_professional_law": 0.37058823529411766, + "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, + "mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.9090909090909091, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 1.2411628218839437, + "step": 200 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9439, + "step": 201 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8041, + "step": 202 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7885, + "step": 203 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.5351, + "step": 204 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6244, + "step": 205 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6268, + "step": 206 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7006, + "step": 207 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.757, + "step": 208 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7654, + "step": 209 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6594, + "step": 210 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9099, + "step": 211 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7043, + "step": 212 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8959, + "step": 213 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.756, + "step": 214 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8411, + "step": 215 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.567, + "step": 216 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8157, + "step": 217 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6843, + "step": 218 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8001, + "step": 219 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6045, + "step": 220 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.5119, + "step": 221 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7622, + "step": 222 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7242, + "step": 223 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.5367, + "step": 224 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.106, + "step": 225 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7645, + "step": 226 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7407, + "step": 227 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8071, + "step": 228 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.759, + "step": 229 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0373, + "step": 230 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.886, + "step": 231 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.5928, + "step": 232 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.663, + "step": 233 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7304, + "step": 234 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8002, + "step": 235 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.554, + "step": 236 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8972, + "step": 237 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.2181, + "step": 238 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7627, + "step": 239 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6485, + "step": 240 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8756, + "step": 241 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.5099, + "step": 242 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7772, + "step": 243 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7654, + "step": 244 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6795, + "step": 245 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.709, + "step": 246 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0877, + "step": 247 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7239, + "step": 248 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.946, + "step": 249 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.838, + "step": 250 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7542, + "step": 251 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8244, + "step": 252 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0065, + "step": 253 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7358, + "step": 254 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6672, + "step": 255 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6232, + "step": 256 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8619, + "step": 257 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7068, + "step": 258 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8178, + "step": 259 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.5931, + "step": 260 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8097, + "step": 261 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8769, + "step": 262 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0777, + "step": 263 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.1692, + "step": 264 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.5373, + "step": 265 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.229, + "step": 266 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6988, + "step": 267 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.865, + "step": 268 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7268, + "step": 269 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9461, + "step": 270 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8048, + "step": 271 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6674, + "step": 272 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7445, + "step": 273 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8691, + "step": 274 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9511, + "step": 275 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8585, + "step": 276 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9054, + "step": 277 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8688, + "step": 278 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.1202, + "step": 279 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7605, + "step": 280 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.5843, + "step": 281 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.693, + "step": 282 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.4731, + "step": 283 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7056, + "step": 284 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8016, + "step": 285 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8471, + "step": 286 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.5018, + "step": 287 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7771, + "step": 288 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.5368, + "step": 289 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6716, + "step": 290 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9226, + "step": 291 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6514, + "step": 292 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6389, + "step": 293 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.0019, + "step": 294 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9027, + "step": 295 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8403, + "step": 296 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7016, + "step": 297 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.5971, + "step": 298 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8033, + "step": 299 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7893, + "step": 300 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7054, + "step": 301 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9471, + "step": 302 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8982, + "step": 303 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9682, + "step": 304 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6024, + "step": 305 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7184, + "step": 306 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7566, + "step": 307 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7607, + "step": 308 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.5993, + "step": 309 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7502, + "step": 310 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8958, + "step": 311 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8621, + "step": 312 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7835, + "step": 313 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6815, + "step": 314 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7599, + "step": 315 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.734, + "step": 316 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6543, + "step": 317 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6149, + "step": 318 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7239, + "step": 319 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.3942, + "step": 320 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7239, + "step": 321 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6636, + "step": 322 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.4779, + "step": 323 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.5454, + "step": 324 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8962, + "step": 325 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6651, + "step": 326 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6797, + "step": 327 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7515, + "step": 328 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7732, + "step": 329 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6828, + "step": 330 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8203, + "step": 331 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9032, + "step": 332 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6609, + "step": 333 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6706, + "step": 334 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.555, + "step": 335 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6961, + "step": 336 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7812, + "step": 337 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7667, + "step": 338 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6431, + "step": 339 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6958, + "step": 340 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7055, + "step": 341 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.5383, + "step": 342 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6951, + "step": 343 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.624, + "step": 344 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7244, + "step": 345 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6788, + "step": 346 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.0403, + "step": 347 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8656, + "step": 348 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7682, + "step": 349 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6556, + "step": 350 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9285, + "step": 351 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8778, + "step": 352 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.3931, + "step": 353 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7759, + "step": 354 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5455, + "step": 355 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9343, + "step": 356 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.627, + "step": 357 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7332, + "step": 358 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.4948, + "step": 359 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6612, + "step": 360 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8086, + "step": 361 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7435, + "step": 362 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9533, + "step": 363 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6942, + "step": 364 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7618, + "step": 365 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7144, + "step": 366 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6153, + "step": 367 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6408, + "step": 368 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.1895, + "step": 369 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.949, + "step": 370 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.4565, + "step": 371 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6903, + "step": 372 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6956, + "step": 373 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6568, + "step": 374 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6129, + "step": 375 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6205, + "step": 376 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8534, + "step": 377 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6967, + "step": 378 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7698, + "step": 379 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9859, + "step": 380 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.0283, + "step": 381 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7195, + "step": 382 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5506, + "step": 383 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7118, + "step": 384 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7334, + "step": 385 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8707, + "step": 386 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6609, + "step": 387 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8106, + "step": 388 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9443, + "step": 389 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.558, + "step": 390 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9331, + "step": 391 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7413, + "step": 392 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9114, + "step": 393 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.1099, + "step": 394 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8798, + "step": 395 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9745, + "step": 396 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7468, + "step": 397 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5748, + "step": 398 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9129, + "step": 399 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8696, + "step": 400 + }, + { + "epoch": 0.06, + "eval_loss": 0.7634292244911194, + "eval_runtime": 154.2679, + "eval_samples_per_second": 6.482, + "eval_steps_per_second": 3.241, + "step": 400 + }, + { + "epoch": 0.06, + "mmlu_eval_accuracy": 0.582014575618387, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.75, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, + "mmlu_eval_accuracy_college_biology": 0.5, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, + "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.7272727272727273, + "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, + "mmlu_eval_accuracy_econometrics": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.4375, + "mmlu_eval_accuracy_elementary_mathematics": 0.4878048780487805, + "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, + "mmlu_eval_accuracy_global_facts": 0.6, + "mmlu_eval_accuracy_high_school_biology": 0.53125, + "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, + "mmlu_eval_accuracy_human_aging": 0.782608695652174, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.8461538461538461, + "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, + "mmlu_eval_accuracy_logical_fallacies": 0.7222222222222222, + "mmlu_eval_accuracy_machine_learning": 0.6363636363636364, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.32, + "mmlu_eval_accuracy_nutrition": 0.7575757575757576, + "mmlu_eval_accuracy_philosophy": 0.7647058823529411, + "mmlu_eval_accuracy_prehistory": 0.6, + "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, + "mmlu_eval_accuracy_professional_law": 0.36470588235294116, + "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, + "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.6296296296296297, + "mmlu_eval_accuracy_sociology": 0.9090909090909091, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 1.1038525643376706, + "step": 400 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9033, + "step": 401 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7314, + "step": 402 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5781, + "step": 403 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6335, + "step": 404 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7935, + "step": 405 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7954, + "step": 406 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7832, + "step": 407 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.911, + "step": 408 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9981, + "step": 409 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6957, + "step": 410 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.0077, + "step": 411 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7651, + "step": 412 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9796, + "step": 413 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8033, + "step": 414 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7299, + "step": 415 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8103, + "step": 416 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6264, + "step": 417 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9188, + "step": 418 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.675, + "step": 419 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9005, + "step": 420 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9, + "step": 421 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8124, + "step": 422 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.878, + "step": 423 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.012, + "step": 424 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9317, + "step": 425 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9145, + "step": 426 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.551, + "step": 427 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7277, + "step": 428 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8815, + "step": 429 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.5955, + "step": 430 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7337, + "step": 431 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8115, + "step": 432 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.4938, + "step": 433 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7597, + "step": 434 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7131, + "step": 435 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8459, + "step": 436 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.682, + "step": 437 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7539, + "step": 438 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.5832, + "step": 439 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.027, + "step": 440 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8823, + "step": 441 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8111, + "step": 442 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7896, + "step": 443 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8611, + "step": 444 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7889, + "step": 445 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.842, + "step": 446 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.1133, + "step": 447 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8547, + "step": 448 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.635, + "step": 449 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.819, + "step": 450 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6771, + "step": 451 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9835, + "step": 452 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7865, + "step": 453 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7251, + "step": 454 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7252, + "step": 455 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6285, + "step": 456 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8226, + "step": 457 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9227, + "step": 458 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8963, + "step": 459 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9053, + "step": 460 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8643, + "step": 461 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8897, + "step": 462 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8069, + "step": 463 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6344, + "step": 464 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8596, + "step": 465 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.0561, + "step": 466 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7554, + "step": 467 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8137, + "step": 468 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.922, + "step": 469 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8109, + "step": 470 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8298, + "step": 471 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.5106, + "step": 472 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8882, + "step": 473 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6041, + "step": 474 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8929, + "step": 475 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7443, + "step": 476 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.0332, + "step": 477 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6776, + "step": 478 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6819, + "step": 479 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7143, + "step": 480 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9434, + "step": 481 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.0725, + "step": 482 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5402, + "step": 483 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8952, + "step": 484 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7315, + "step": 485 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.1633, + "step": 486 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6815, + "step": 487 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5161, + "step": 488 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6741, + "step": 489 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7827, + "step": 490 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5693, + "step": 491 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5521, + "step": 492 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5783, + "step": 493 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9696, + "step": 494 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8316, + "step": 495 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8936, + "step": 496 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7704, + "step": 497 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9177, + "step": 498 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6919, + "step": 499 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5591, + "step": 500 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.793, + "step": 501 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6148, + "step": 502 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8616, + "step": 503 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7995, + "step": 504 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9026, + "step": 505 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8013, + "step": 506 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7315, + "step": 507 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9467, + "step": 508 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9412, + "step": 509 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3872, + "step": 510 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5475, + "step": 511 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8641, + "step": 512 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8478, + "step": 513 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9471, + "step": 514 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6307, + "step": 515 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8896, + "step": 516 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9323, + "step": 517 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.1377, + "step": 518 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6785, + "step": 519 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7828, + "step": 520 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7498, + "step": 521 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8784, + "step": 522 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8723, + "step": 523 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6768, + "step": 524 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.57, + "step": 525 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6339, + "step": 526 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6221, + "step": 527 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8042, + "step": 528 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6164, + "step": 529 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6869, + "step": 530 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7531, + "step": 531 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6863, + "step": 532 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6329, + "step": 533 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8289, + "step": 534 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7399, + "step": 535 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7921, + "step": 536 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6602, + "step": 537 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8025, + "step": 538 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7965, + "step": 539 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9087, + "step": 540 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7666, + "step": 541 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.5291, + "step": 542 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.0275, + "step": 543 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7976, + "step": 544 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9139, + "step": 545 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6894, + "step": 546 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.815, + "step": 547 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7209, + "step": 548 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.5423, + "step": 549 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.903, + "step": 550 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6087, + "step": 551 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8032, + "step": 552 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9988, + "step": 553 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.0055, + "step": 554 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7856, + "step": 555 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8602, + "step": 556 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7981, + "step": 557 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8529, + "step": 558 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9516, + "step": 559 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.5964, + "step": 560 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6579, + "step": 561 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6909, + "step": 562 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7012, + "step": 563 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8099, + "step": 564 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8283, + "step": 565 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6402, + "step": 566 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6288, + "step": 567 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6598, + "step": 568 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9796, + "step": 569 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.614, + "step": 570 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9603, + "step": 571 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.0403, + "step": 572 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7975, + "step": 573 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6631, + "step": 574 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.589, + "step": 575 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8022, + "step": 576 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8301, + "step": 577 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.3195, + "step": 578 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8354, + "step": 579 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.994, + "step": 580 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7999, + "step": 581 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7224, + "step": 582 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.5131, + "step": 583 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8155, + "step": 584 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7564, + "step": 585 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7305, + "step": 586 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9284, + "step": 587 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.5877, + "step": 588 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.4468, + "step": 589 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9086, + "step": 590 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7976, + "step": 591 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7157, + "step": 592 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6894, + "step": 593 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9683, + "step": 594 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7784, + "step": 595 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7333, + "step": 596 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6739, + "step": 597 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6285, + "step": 598 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6718, + "step": 599 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.0186, + "step": 600 + }, + { + "epoch": 0.1, + "eval_loss": 0.7626925110816956, + "eval_runtime": 154.285, + "eval_samples_per_second": 6.482, + "eval_steps_per_second": 3.241, + "step": 600 + }, + { + "epoch": 0.1, + "mmlu_eval_accuracy": 0.5739124443829915, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.75, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, + "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, + "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.7272727272727273, + "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615, + "mmlu_eval_accuracy_econometrics": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.4375, + "mmlu_eval_accuracy_elementary_mathematics": 0.4878048780487805, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.5625, + "mmlu_eval_accuracy_high_school_chemistry": 0.45454545454545453, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, + "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, + "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 1.0, + "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.6976744186046512, + "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, + "mmlu_eval_accuracy_moral_scenarios": 0.33, + "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_philosophy": 0.7352941176470589, + "mmlu_eval_accuracy_prehistory": 0.6571428571428571, + "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, + "mmlu_eval_accuracy_professional_law": 0.36470588235294116, + "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, + "mmlu_eval_accuracy_professional_psychology": 0.5652173913043478, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.6296296296296297, + "mmlu_eval_accuracy_sociology": 0.9090909090909091, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.3611424469605438, + "step": 600 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7649, + "step": 601 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8439, + "step": 602 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6625, + "step": 603 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7138, + "step": 604 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.0882, + "step": 605 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6645, + "step": 606 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5514, + "step": 607 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7202, + "step": 608 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6851, + "step": 609 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8283, + "step": 610 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9179, + "step": 611 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5018, + "step": 612 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7413, + "step": 613 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7622, + "step": 614 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6704, + "step": 615 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8861, + "step": 616 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.754, + "step": 617 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6305, + "step": 618 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8262, + "step": 619 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8694, + "step": 620 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.0702, + "step": 621 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7398, + "step": 622 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.4069, + "step": 623 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8257, + "step": 624 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9603, + "step": 625 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6815, + "step": 626 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8533, + "step": 627 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7015, + "step": 628 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.091, + "step": 629 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8249, + "step": 630 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7804, + "step": 631 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7696, + "step": 632 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8806, + "step": 633 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7535, + "step": 634 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.4418, + "step": 635 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.681, + "step": 636 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.4715, + "step": 637 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8516, + "step": 638 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6215, + "step": 639 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8956, + "step": 640 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7029, + "step": 641 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8118, + "step": 642 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8265, + "step": 643 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5308, + "step": 644 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8586, + "step": 645 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8251, + "step": 646 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5441, + "step": 647 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6577, + "step": 648 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8706, + "step": 649 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8381, + "step": 650 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5156, + "step": 651 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.4198, + "step": 652 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6821, + "step": 653 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8475, + "step": 654 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6056, + "step": 655 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.831, + "step": 656 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6549, + "step": 657 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5931, + "step": 658 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.933, + "step": 659 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9054, + "step": 660 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7435, + "step": 661 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7818, + "step": 662 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6115, + "step": 663 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7403, + "step": 664 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.706, + "step": 665 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7511, + "step": 666 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.656, + "step": 667 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7945, + "step": 668 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8929, + "step": 669 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9274, + "step": 670 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7041, + "step": 671 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7283, + "step": 672 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6697, + "step": 673 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.661, + "step": 674 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6061, + "step": 675 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9147, + "step": 676 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.0251, + "step": 677 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6071, + "step": 678 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7758, + "step": 679 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5814, + "step": 680 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8894, + "step": 681 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8366, + "step": 682 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6844, + "step": 683 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6585, + "step": 684 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8466, + "step": 685 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5699, + "step": 686 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.013, + "step": 687 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8022, + "step": 688 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6595, + "step": 689 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9447, + "step": 690 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.917, + "step": 691 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8301, + "step": 692 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8226, + "step": 693 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6857, + "step": 694 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5391, + "step": 695 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5481, + "step": 696 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7975, + "step": 697 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9211, + "step": 698 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.911, + "step": 699 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8313, + "step": 700 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8024, + "step": 701 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9439, + "step": 702 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5354, + "step": 703 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.524, + "step": 704 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8467, + "step": 705 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7506, + "step": 706 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7316, + "step": 707 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6796, + "step": 708 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8779, + "step": 709 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8306, + "step": 710 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8698, + "step": 711 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6363, + "step": 712 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7834, + "step": 713 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7316, + "step": 714 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.952, + "step": 715 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.4127, + "step": 716 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7766, + "step": 717 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7948, + "step": 718 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5199, + "step": 719 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7438, + "step": 720 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8175, + "step": 721 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6426, + "step": 722 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7031, + "step": 723 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.653, + "step": 724 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7793, + "step": 725 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.0525, + "step": 726 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6476, + "step": 727 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8734, + "step": 728 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9121, + "step": 729 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.0478, + "step": 730 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6575, + "step": 731 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6332, + "step": 732 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.0282, + "step": 733 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6824, + "step": 734 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7251, + "step": 735 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5192, + "step": 736 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7092, + "step": 737 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6552, + "step": 738 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5919, + "step": 739 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7939, + "step": 740 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8481, + "step": 741 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7284, + "step": 742 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7777, + "step": 743 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5947, + "step": 744 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6418, + "step": 745 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7822, + "step": 746 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5194, + "step": 747 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.489, + "step": 748 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9699, + "step": 749 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6178, + "step": 750 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5176, + "step": 751 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6342, + "step": 752 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9355, + "step": 753 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7633, + "step": 754 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7402, + "step": 755 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8135, + "step": 756 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7504, + "step": 757 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8733, + "step": 758 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8479, + "step": 759 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7039, + "step": 760 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8246, + "step": 761 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7279, + "step": 762 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7369, + "step": 763 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.0336, + "step": 764 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.0098, + "step": 765 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6738, + "step": 766 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.63, + "step": 767 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7611, + "step": 768 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9598, + "step": 769 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9261, + "step": 770 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8723, + "step": 771 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6239, + "step": 772 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8307, + "step": 773 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.667, + "step": 774 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8626, + "step": 775 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.4824, + "step": 776 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7118, + "step": 777 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7039, + "step": 778 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6161, + "step": 779 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5523, + "step": 780 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7886, + "step": 781 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8064, + "step": 782 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5566, + "step": 783 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8678, + "step": 784 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7126, + "step": 785 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.952, + "step": 786 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8158, + "step": 787 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7676, + "step": 788 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.0694, + "step": 789 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.5613, + "step": 790 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.0733, + "step": 791 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6788, + "step": 792 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7928, + "step": 793 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8333, + "step": 794 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7146, + "step": 795 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7664, + "step": 796 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7219, + "step": 797 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8018, + "step": 798 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.675, + "step": 799 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.5918, + "step": 800 + }, + { + "epoch": 0.13, + "eval_loss": 0.7617537975311279, + "eval_runtime": 154.2631, + "eval_samples_per_second": 6.482, + "eval_steps_per_second": 3.241, + "step": 800 + }, + { + "epoch": 0.13, + "mmlu_eval_accuracy": 0.5872922906066248, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.8125, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, + "mmlu_eval_accuracy_college_mathematics": 0.6363636363636364, + "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.7272727272727273, + "mmlu_eval_accuracy_conceptual_physics": 0.5, + "mmlu_eval_accuracy_econometrics": 0.4166666666666667, + "mmlu_eval_accuracy_electrical_engineering": 0.4375, + "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, + "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, + "mmlu_eval_accuracy_global_facts": 0.5, + "mmlu_eval_accuracy_high_school_biology": 0.65625, + "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, + "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, + "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_statistics": 0.5217391304347826, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 1.0, + "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.37, + "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_philosophy": 0.7058823529411765, + "mmlu_eval_accuracy_prehistory": 0.6857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, + "mmlu_eval_accuracy_professional_law": 0.4, + "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, + "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.8636363636363636, + "mmlu_eval_accuracy_us_foreign_policy": 0.9090909090909091, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.0242407779080438, + "step": 800 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8107, + "step": 801 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6407, + "step": 802 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7415, + "step": 803 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7378, + "step": 804 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6629, + "step": 805 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7462, + "step": 806 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9125, + "step": 807 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7096, + "step": 808 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.703, + "step": 809 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.5804, + "step": 810 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7866, + "step": 811 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8951, + "step": 812 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.813, + "step": 813 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6953, + "step": 814 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.651, + "step": 815 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7986, + "step": 816 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9811, + "step": 817 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8377, + "step": 818 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9368, + "step": 819 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7183, + "step": 820 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8537, + "step": 821 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.0181, + "step": 822 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.5691, + "step": 823 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.199, + "step": 824 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3679, + "step": 825 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.045, + "step": 826 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7861, + "step": 827 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7255, + "step": 828 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.0932, + "step": 829 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8528, + "step": 830 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.5581, + "step": 831 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8283, + "step": 832 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.5944, + "step": 833 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6966, + "step": 834 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7665, + "step": 835 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.0116, + "step": 836 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7228, + "step": 837 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7789, + "step": 838 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.5192, + "step": 839 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7229, + "step": 840 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.057, + "step": 841 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7013, + "step": 842 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.5148, + "step": 843 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.5368, + "step": 844 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8878, + "step": 845 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6943, + "step": 846 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.5741, + "step": 847 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7021, + "step": 848 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6613, + "step": 849 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.0501, + "step": 850 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7446, + "step": 851 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.4437, + "step": 852 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8349, + "step": 853 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8823, + "step": 854 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5696, + "step": 855 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8807, + "step": 856 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6671, + "step": 857 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9383, + "step": 858 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8896, + "step": 859 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8796, + "step": 860 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8097, + "step": 861 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7115, + "step": 862 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8939, + "step": 863 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6787, + "step": 864 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.861, + "step": 865 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.0488, + "step": 866 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6979, + "step": 867 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6977, + "step": 868 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9746, + "step": 869 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5609, + "step": 870 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8113, + "step": 871 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.4947, + "step": 872 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6667, + "step": 873 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7609, + "step": 874 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.815, + "step": 875 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7587, + "step": 876 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.0033, + "step": 877 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8344, + "step": 878 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.812, + "step": 879 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5491, + "step": 880 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8529, + "step": 881 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8703, + "step": 882 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7708, + "step": 883 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7366, + "step": 884 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9312, + "step": 885 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8048, + "step": 886 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9063, + "step": 887 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6456, + "step": 888 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8037, + "step": 889 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.897, + "step": 890 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8118, + "step": 891 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.649, + "step": 892 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7075, + "step": 893 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8717, + "step": 894 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8776, + "step": 895 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9043, + "step": 896 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7116, + "step": 897 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8618, + "step": 898 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6707, + "step": 899 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5633, + "step": 900 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7632, + "step": 901 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8768, + "step": 902 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7266, + "step": 903 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9536, + "step": 904 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7713, + "step": 905 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.0155, + "step": 906 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8227, + "step": 907 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.0527, + "step": 908 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.0576, + "step": 909 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5916, + "step": 910 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.918, + "step": 911 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8394, + "step": 912 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.768, + "step": 913 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7095, + "step": 914 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7751, + "step": 915 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.4818, + "step": 916 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.5499, + "step": 917 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.65, + "step": 918 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7709, + "step": 919 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6679, + "step": 920 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.5634, + "step": 921 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8949, + "step": 922 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9936, + "step": 923 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7809, + "step": 924 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7507, + "step": 925 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7341, + "step": 926 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8123, + "step": 927 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7745, + "step": 928 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6287, + "step": 929 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7403, + "step": 930 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.4978, + "step": 931 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6485, + "step": 932 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7637, + "step": 933 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8769, + "step": 934 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9506, + "step": 935 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9899, + "step": 936 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9188, + "step": 937 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8676, + "step": 938 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8056, + "step": 939 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.796, + "step": 940 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8504, + "step": 941 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8365, + "step": 942 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.997, + "step": 943 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6999, + "step": 944 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8226, + "step": 945 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8924, + "step": 946 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.5977, + "step": 947 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8066, + "step": 948 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.559, + "step": 949 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6792, + "step": 950 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6678, + "step": 951 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9455, + "step": 952 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.813, + "step": 953 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.709, + "step": 954 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.4411, + "step": 955 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.5976, + "step": 956 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6167, + "step": 957 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 1.0464, + "step": 958 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7666, + "step": 959 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8555, + "step": 960 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7945, + "step": 961 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9957, + "step": 962 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6997, + "step": 963 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7236, + "step": 964 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8987, + "step": 965 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8459, + "step": 966 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8705, + "step": 967 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6856, + "step": 968 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7904, + "step": 969 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 1.0504, + "step": 970 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 1.1144, + "step": 971 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8621, + "step": 972 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6855, + "step": 973 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.668, + "step": 974 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.65, + "step": 975 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9222, + "step": 976 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6795, + "step": 977 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8696, + "step": 978 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7621, + "step": 979 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7361, + "step": 980 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.6898, + "step": 981 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.861, + "step": 982 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.799, + "step": 983 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.4427, + "step": 984 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8071, + "step": 985 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9412, + "step": 986 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8704, + "step": 987 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6032, + "step": 988 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.5677, + "step": 989 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8321, + "step": 990 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6739, + "step": 991 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9696, + "step": 992 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9999, + "step": 993 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.804, + "step": 994 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.5002, + "step": 995 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7638, + "step": 996 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7855, + "step": 997 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0908, + "step": 998 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.521, + "step": 999 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6285, + "step": 1000 + }, + { + "epoch": 0.16, + "eval_loss": 0.7611117959022522, + "eval_runtime": 154.1303, + "eval_samples_per_second": 6.488, + "eval_steps_per_second": 3.244, + "step": 1000 + }, + { + "epoch": 0.16, + "mmlu_eval_accuracy": 0.5720330330941478, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.8125, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, + "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, + "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.6363636363636364, + "mmlu_eval_accuracy_conceptual_physics": 0.5384615384615384, + "mmlu_eval_accuracy_econometrics": 0.4166666666666667, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, + "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, + "mmlu_eval_accuracy_global_facts": 0.5, + "mmlu_eval_accuracy_high_school_biology": 0.625, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, + "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, + "mmlu_eval_accuracy_high_school_psychology": 0.85, + "mmlu_eval_accuracy_high_school_statistics": 0.4782608695652174, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.8076923076923077, + "mmlu_eval_accuracy_human_aging": 0.6956521739130435, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 1.0, + "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, + "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, + "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, + "mmlu_eval_accuracy_moral_scenarios": 0.31, + "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_philosophy": 0.7352941176470589, + "mmlu_eval_accuracy_prehistory": 0.6857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, + "mmlu_eval_accuracy_professional_law": 0.4176470588235294, + "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, + "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.9090909090909091, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.3888888888888889, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.0829765211897793, + "step": 1000 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.5083, + "step": 1001 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6439, + "step": 1002 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.708, + "step": 1003 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6507, + "step": 1004 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8207, + "step": 1005 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0499, + "step": 1006 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9243, + "step": 1007 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8884, + "step": 1008 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7976, + "step": 1009 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7578, + "step": 1010 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.57, + "step": 1011 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8556, + "step": 1012 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9228, + "step": 1013 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6069, + "step": 1014 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6216, + "step": 1015 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8357, + "step": 1016 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6499, + "step": 1017 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.965, + "step": 1018 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8562, + "step": 1019 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0042, + "step": 1020 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.804, + "step": 1021 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0537, + "step": 1022 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.5496, + "step": 1023 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.917, + "step": 1024 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6217, + "step": 1025 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8279, + "step": 1026 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8358, + "step": 1027 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7981, + "step": 1028 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.5217, + "step": 1029 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9458, + "step": 1030 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8484, + "step": 1031 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0297, + "step": 1032 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6735, + "step": 1033 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.5965, + "step": 1034 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.1115, + "step": 1035 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8756, + "step": 1036 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8977, + "step": 1037 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6413, + "step": 1038 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7422, + "step": 1039 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.649, + "step": 1040 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9056, + "step": 1041 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7432, + "step": 1042 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6264, + "step": 1043 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9404, + "step": 1044 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8737, + "step": 1045 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7109, + "step": 1046 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6366, + "step": 1047 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9831, + "step": 1048 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 1.006, + "step": 1049 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 1.0482, + "step": 1050 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7081, + "step": 1051 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7012, + "step": 1052 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8931, + "step": 1053 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 1.1088, + "step": 1054 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7924, + "step": 1055 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7294, + "step": 1056 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6729, + "step": 1057 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 1.0284, + "step": 1058 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.4713, + "step": 1059 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8445, + "step": 1060 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9508, + "step": 1061 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7136, + "step": 1062 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7681, + "step": 1063 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7761, + "step": 1064 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7889, + "step": 1065 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8768, + "step": 1066 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7372, + "step": 1067 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.595, + "step": 1068 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7888, + "step": 1069 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6057, + "step": 1070 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6359, + "step": 1071 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.69, + "step": 1072 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 1.2746, + "step": 1073 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6448, + "step": 1074 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7123, + "step": 1075 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8187, + "step": 1076 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6909, + "step": 1077 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 1.0334, + "step": 1078 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8249, + "step": 1079 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 1.1525, + "step": 1080 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.831, + "step": 1081 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.826, + "step": 1082 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6958, + "step": 1083 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8645, + "step": 1084 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9168, + "step": 1085 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7517, + "step": 1086 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7238, + "step": 1087 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9304, + "step": 1088 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8474, + "step": 1089 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.5822, + "step": 1090 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9695, + "step": 1091 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.5801, + "step": 1092 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 1.0942, + "step": 1093 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6813, + "step": 1094 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8713, + "step": 1095 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6868, + "step": 1096 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.526, + "step": 1097 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8102, + "step": 1098 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.612, + "step": 1099 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.3532, + "step": 1100 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8662, + "step": 1101 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.5279, + "step": 1102 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6963, + "step": 1103 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8511, + "step": 1104 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9284, + "step": 1105 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.4843, + "step": 1106 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8939, + "step": 1107 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.598, + "step": 1108 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7764, + "step": 1109 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7816, + "step": 1110 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.596, + "step": 1111 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6043, + "step": 1112 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6996, + "step": 1113 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9477, + "step": 1114 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6764, + "step": 1115 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7908, + "step": 1116 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8713, + "step": 1117 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6036, + "step": 1118 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.759, + "step": 1119 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8097, + "step": 1120 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7261, + "step": 1121 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.5751, + "step": 1122 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7934, + "step": 1123 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8128, + "step": 1124 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6994, + "step": 1125 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8439, + "step": 1126 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.5068, + "step": 1127 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.666, + "step": 1128 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6832, + "step": 1129 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6607, + "step": 1130 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6883, + "step": 1131 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7264, + "step": 1132 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 1.0501, + "step": 1133 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6715, + "step": 1134 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8646, + "step": 1135 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6204, + "step": 1136 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9054, + "step": 1137 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7901, + "step": 1138 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.4973, + "step": 1139 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.4846, + "step": 1140 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7691, + "step": 1141 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6297, + "step": 1142 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.5969, + "step": 1143 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8038, + "step": 1144 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8255, + "step": 1145 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.5637, + "step": 1146 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.5684, + "step": 1147 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7786, + "step": 1148 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6403, + "step": 1149 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7047, + "step": 1150 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9221, + "step": 1151 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 1.0261, + "step": 1152 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6788, + "step": 1153 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8017, + "step": 1154 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8608, + "step": 1155 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7332, + "step": 1156 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8449, + "step": 1157 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7602, + "step": 1158 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6426, + "step": 1159 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8522, + "step": 1160 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6838, + "step": 1161 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6491, + "step": 1162 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6799, + "step": 1163 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6451, + "step": 1164 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.5525, + "step": 1165 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.552, + "step": 1166 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.5075, + "step": 1167 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7761, + "step": 1168 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7074, + "step": 1169 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8201, + "step": 1170 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7746, + "step": 1171 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6995, + "step": 1172 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9124, + "step": 1173 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6969, + "step": 1174 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7599, + "step": 1175 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7481, + "step": 1176 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7356, + "step": 1177 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6419, + "step": 1178 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.5873, + "step": 1179 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8675, + "step": 1180 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7034, + "step": 1181 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7811, + "step": 1182 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.892, + "step": 1183 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.661, + "step": 1184 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6629, + "step": 1185 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6162, + "step": 1186 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6426, + "step": 1187 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6767, + "step": 1188 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9001, + "step": 1189 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7016, + "step": 1190 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8113, + "step": 1191 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8778, + "step": 1192 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8233, + "step": 1193 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7506, + "step": 1194 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9008, + "step": 1195 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.5975, + "step": 1196 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8408, + "step": 1197 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.782, + "step": 1198 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6192, + "step": 1199 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7867, + "step": 1200 + }, + { + "epoch": 0.19, + "eval_loss": 0.7628328204154968, + "eval_runtime": 154.2724, + "eval_samples_per_second": 6.482, + "eval_steps_per_second": 3.241, + "step": 1200 + }, + { + "epoch": 0.19, + "mmlu_eval_accuracy": 0.5526492333429972, + "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.75, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, + "mmlu_eval_accuracy_college_mathematics": 0.09090909090909091, + "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.6363636363636364, + "mmlu_eval_accuracy_conceptual_physics": 0.5, + "mmlu_eval_accuracy_econometrics": 0.5833333333333334, + "mmlu_eval_accuracy_electrical_engineering": 0.4375, + "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, + "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.65625, + "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, + "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, + "mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, + "mmlu_eval_accuracy_human_aging": 0.6521739130434783, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.9230769230769231, + "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, + "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.41, + "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_philosophy": 0.6176470588235294, + "mmlu_eval_accuracy_prehistory": 0.7428571428571429, + "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, + "mmlu_eval_accuracy_professional_law": 0.38823529411764707, + "mmlu_eval_accuracy_professional_medicine": 0.4838709677419355, + "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "mmlu_eval_accuracy_sociology": 0.8636363636363636, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.3888888888888889, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.1069604557970485, + "step": 1200 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6822, + "step": 1201 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7045, + "step": 1202 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9544, + "step": 1203 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9037, + "step": 1204 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7725, + "step": 1205 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7645, + "step": 1206 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 1.0015, + "step": 1207 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.4904, + "step": 1208 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7828, + "step": 1209 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6239, + "step": 1210 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9634, + "step": 1211 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8404, + "step": 1212 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7877, + "step": 1213 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7911, + "step": 1214 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7314, + "step": 1215 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9135, + "step": 1216 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6023, + "step": 1217 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.878, + "step": 1218 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6571, + "step": 1219 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7169, + "step": 1220 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7158, + "step": 1221 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7063, + "step": 1222 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 1.0282, + "step": 1223 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9687, + "step": 1224 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8286, + "step": 1225 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8737, + "step": 1226 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3287, + "step": 1227 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7147, + "step": 1228 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6403, + "step": 1229 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.5328, + "step": 1230 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7683, + "step": 1231 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6425, + "step": 1232 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7346, + "step": 1233 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.585, + "step": 1234 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.8957, + "step": 1235 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6563, + "step": 1236 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.5175, + "step": 1237 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6291, + "step": 1238 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.8535, + "step": 1239 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6322, + "step": 1240 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.8428, + "step": 1241 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6081, + "step": 1242 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.809, + "step": 1243 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 1.0232, + "step": 1244 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9767, + "step": 1245 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7531, + "step": 1246 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.8714, + "step": 1247 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7355, + "step": 1248 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.5816, + "step": 1249 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9343, + "step": 1250 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.679, + "step": 1251 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7555, + "step": 1252 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.8715, + "step": 1253 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7813, + "step": 1254 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.8462, + "step": 1255 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.8871, + "step": 1256 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6354, + "step": 1257 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.5855, + "step": 1258 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.665, + "step": 1259 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6429, + "step": 1260 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6338, + "step": 1261 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.5198, + "step": 1262 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.645, + "step": 1263 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7696, + "step": 1264 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.5822, + "step": 1265 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.5692, + "step": 1266 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7078, + "step": 1267 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7741, + "step": 1268 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.8329, + "step": 1269 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.722, + "step": 1270 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 1.1606, + "step": 1271 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6494, + "step": 1272 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 1.5506, + "step": 1273 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7063, + "step": 1274 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9833, + "step": 1275 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.8902, + "step": 1276 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.8042, + "step": 1277 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6832, + "step": 1278 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7768, + "step": 1279 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9879, + "step": 1280 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9687, + "step": 1281 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.8131, + "step": 1282 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7797, + "step": 1283 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.8015, + "step": 1284 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6778, + "step": 1285 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6738, + "step": 1286 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 1.0708, + "step": 1287 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9313, + "step": 1288 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.722, + "step": 1289 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.852, + "step": 1290 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7903, + "step": 1291 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7278, + "step": 1292 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 1.0367, + "step": 1293 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9967, + "step": 1294 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.504, + "step": 1295 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.8785, + "step": 1296 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9103, + "step": 1297 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9122, + "step": 1298 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7115, + "step": 1299 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.8148, + "step": 1300 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.8752, + "step": 1301 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6441, + "step": 1302 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.914, + "step": 1303 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.8427, + "step": 1304 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.4984, + "step": 1305 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6201, + "step": 1306 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 1.0205, + "step": 1307 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9737, + "step": 1308 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9077, + "step": 1309 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.5232, + "step": 1310 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7412, + "step": 1311 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9121, + "step": 1312 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.8045, + "step": 1313 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6727, + "step": 1314 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.8533, + "step": 1315 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.5179, + "step": 1316 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.8021, + "step": 1317 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7247, + "step": 1318 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6177, + "step": 1319 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6191, + "step": 1320 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 1.0132, + "step": 1321 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7799, + "step": 1322 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7236, + "step": 1323 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.75, + "step": 1324 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6875, + "step": 1325 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.424, + "step": 1326 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.8701, + "step": 1327 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9008, + "step": 1328 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7257, + "step": 1329 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.8698, + "step": 1330 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 1.0346, + "step": 1331 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.5721, + "step": 1332 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6213, + "step": 1333 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7335, + "step": 1334 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9256, + "step": 1335 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9351, + "step": 1336 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9228, + "step": 1337 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9587, + "step": 1338 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.8301, + "step": 1339 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.8375, + "step": 1340 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7681, + "step": 1341 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7978, + "step": 1342 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6247, + "step": 1343 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9125, + "step": 1344 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7659, + "step": 1345 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6221, + "step": 1346 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6496, + "step": 1347 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9204, + "step": 1348 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7883, + "step": 1349 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7252, + "step": 1350 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6306, + "step": 1351 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7818, + "step": 1352 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.5547, + "step": 1353 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9158, + "step": 1354 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6598, + "step": 1355 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9001, + "step": 1356 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6183, + "step": 1357 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.666, + "step": 1358 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.5904, + "step": 1359 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8988, + "step": 1360 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.722, + "step": 1361 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.725, + "step": 1362 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8606, + "step": 1363 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6777, + "step": 1364 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6649, + "step": 1365 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7578, + "step": 1366 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8402, + "step": 1367 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7034, + "step": 1368 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8094, + "step": 1369 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8263, + "step": 1370 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8738, + "step": 1371 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.852, + "step": 1372 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.5807, + "step": 1373 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7218, + "step": 1374 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6155, + "step": 1375 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.4623, + "step": 1376 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6696, + "step": 1377 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.5215, + "step": 1378 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8717, + "step": 1379 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7495, + "step": 1380 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8423, + "step": 1381 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6143, + "step": 1382 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7468, + "step": 1383 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6096, + "step": 1384 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7791, + "step": 1385 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7397, + "step": 1386 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.716, + "step": 1387 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 1.0457, + "step": 1388 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6089, + "step": 1389 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.57, + "step": 1390 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.5875, + "step": 1391 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7004, + "step": 1392 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 1.1181, + "step": 1393 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.9674, + "step": 1394 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.798, + "step": 1395 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8517, + "step": 1396 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7023, + "step": 1397 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.4692, + "step": 1398 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.4172, + "step": 1399 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.5762, + "step": 1400 + }, + { + "epoch": 0.22, + "eval_loss": 0.7623283267021179, + "eval_runtime": 154.2554, + "eval_samples_per_second": 6.483, + "eval_steps_per_second": 3.241, + "step": 1400 + }, + { + "epoch": 0.22, + "mmlu_eval_accuracy": 0.5787296129279738, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.75, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, + "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, + "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.6363636363636364, + "mmlu_eval_accuracy_conceptual_physics": 0.5384615384615384, + "mmlu_eval_accuracy_econometrics": 0.5833333333333334, + "mmlu_eval_accuracy_electrical_engineering": 0.625, + "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, + "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.53125, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6923076923076923, + "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, + "mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.4782608695652174, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.8461538461538461, + "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, + "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, + "mmlu_eval_accuracy_moral_scenarios": 0.32, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.6764705882352942, + "mmlu_eval_accuracy_prehistory": 0.6571428571428571, + "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, + "mmlu_eval_accuracy_professional_law": 0.38235294117647056, + "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, + "mmlu_eval_accuracy_professional_psychology": 0.5652173913043478, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.8636363636363636, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 1.025588203853789, + "step": 1400 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.5969, + "step": 1401 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7459, + "step": 1402 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7238, + "step": 1403 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7398, + "step": 1404 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 1.0549, + "step": 1405 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8105, + "step": 1406 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 1.0793, + "step": 1407 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6474, + "step": 1408 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.544, + "step": 1409 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7099, + "step": 1410 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.9871, + "step": 1411 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7438, + "step": 1412 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8271, + "step": 1413 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6969, + "step": 1414 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 1.2439, + "step": 1415 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6708, + "step": 1416 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8358, + "step": 1417 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6073, + "step": 1418 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.9793, + "step": 1419 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.4626, + "step": 1420 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.5937, + "step": 1421 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7985, + "step": 1422 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.9116, + "step": 1423 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.178, + "step": 1424 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.1202, + "step": 1425 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6829, + "step": 1426 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.9036, + "step": 1427 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6682, + "step": 1428 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.8026, + "step": 1429 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.61, + "step": 1430 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6893, + "step": 1431 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6764, + "step": 1432 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.2329, + "step": 1433 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.5224, + "step": 1434 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7391, + "step": 1435 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6888, + "step": 1436 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.8785, + "step": 1437 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.774, + "step": 1438 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.8765, + "step": 1439 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.0062, + "step": 1440 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.9201, + "step": 1441 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6567, + "step": 1442 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.8277, + "step": 1443 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.8031, + "step": 1444 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.8694, + "step": 1445 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7207, + "step": 1446 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7092, + "step": 1447 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6323, + "step": 1448 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7347, + "step": 1449 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.8134, + "step": 1450 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.8543, + "step": 1451 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.4648, + "step": 1452 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.753, + "step": 1453 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6454, + "step": 1454 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.0244, + "step": 1455 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.5861, + "step": 1456 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6535, + "step": 1457 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6994, + "step": 1458 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.007, + "step": 1459 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.0118, + "step": 1460 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.8245, + "step": 1461 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7068, + "step": 1462 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6715, + "step": 1463 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.8584, + "step": 1464 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6753, + "step": 1465 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.4996, + "step": 1466 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.676, + "step": 1467 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.8491, + "step": 1468 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.777, + "step": 1469 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.3799, + "step": 1470 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.8948, + "step": 1471 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.9483, + "step": 1472 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6825, + "step": 1473 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.9625, + "step": 1474 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6677, + "step": 1475 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.8349, + "step": 1476 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.684, + "step": 1477 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.748, + "step": 1478 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7739, + "step": 1479 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.9233, + "step": 1480 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.0774, + "step": 1481 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.724, + "step": 1482 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.9198, + "step": 1483 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.4459, + "step": 1484 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6633, + "step": 1485 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8867, + "step": 1486 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8043, + "step": 1487 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.646, + "step": 1488 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8428, + "step": 1489 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.687, + "step": 1490 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8191, + "step": 1491 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6147, + "step": 1492 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8306, + "step": 1493 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.7764, + "step": 1494 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.7975, + "step": 1495 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8551, + "step": 1496 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9838, + "step": 1497 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8893, + "step": 1498 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8964, + "step": 1499 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.7415, + "step": 1500 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8064, + "step": 1501 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6391, + "step": 1502 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.5944, + "step": 1503 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6362, + "step": 1504 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8786, + "step": 1505 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8219, + "step": 1506 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9742, + "step": 1507 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.853, + "step": 1508 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 1.0, + "step": 1509 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6366, + "step": 1510 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8813, + "step": 1511 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8071, + "step": 1512 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9337, + "step": 1513 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.83, + "step": 1514 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8434, + "step": 1515 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8341, + "step": 1516 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6646, + "step": 1517 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8447, + "step": 1518 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8709, + "step": 1519 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6247, + "step": 1520 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 1.01, + "step": 1521 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8959, + "step": 1522 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.7171, + "step": 1523 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8236, + "step": 1524 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.7977, + "step": 1525 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.5438, + "step": 1526 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9681, + "step": 1527 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.78, + "step": 1528 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6081, + "step": 1529 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.7441, + "step": 1530 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.834, + "step": 1531 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6697, + "step": 1532 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.732, + "step": 1533 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6248, + "step": 1534 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6629, + "step": 1535 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8257, + "step": 1536 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.7329, + "step": 1537 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.7503, + "step": 1538 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8313, + "step": 1539 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.5046, + "step": 1540 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6896, + "step": 1541 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.7487, + "step": 1542 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6828, + "step": 1543 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6396, + "step": 1544 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.804, + "step": 1545 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8223, + "step": 1546 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7406, + "step": 1547 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.8508, + "step": 1548 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.8585, + "step": 1549 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7699, + "step": 1550 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.793, + "step": 1551 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.5773, + "step": 1552 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.8516, + "step": 1553 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6871, + "step": 1554 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6576, + "step": 1555 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 1.0364, + "step": 1556 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6151, + "step": 1557 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7032, + "step": 1558 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 1.0173, + "step": 1559 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7998, + "step": 1560 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.9026, + "step": 1561 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.8312, + "step": 1562 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.767, + "step": 1563 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.852, + "step": 1564 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7136, + "step": 1565 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.575, + "step": 1566 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6446, + "step": 1567 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7249, + "step": 1568 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.9467, + "step": 1569 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.834, + "step": 1570 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.8401, + "step": 1571 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.5554, + "step": 1572 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.667, + "step": 1573 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.4813, + "step": 1574 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.8755, + "step": 1575 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.748, + "step": 1576 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7161, + "step": 1577 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.8986, + "step": 1578 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7766, + "step": 1579 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7747, + "step": 1580 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7702, + "step": 1581 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.9773, + "step": 1582 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.589, + "step": 1583 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.8247, + "step": 1584 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6464, + "step": 1585 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7046, + "step": 1586 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6796, + "step": 1587 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.8656, + "step": 1588 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.8169, + "step": 1589 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7882, + "step": 1590 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.9293, + "step": 1591 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7895, + "step": 1592 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6302, + "step": 1593 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6562, + "step": 1594 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 1.1178, + "step": 1595 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7009, + "step": 1596 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7053, + "step": 1597 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.8581, + "step": 1598 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.8414, + "step": 1599 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.592, + "step": 1600 + }, + { + "epoch": 0.25, + "eval_loss": 0.7640870213508606, + "eval_runtime": 154.1358, + "eval_samples_per_second": 6.488, + "eval_steps_per_second": 3.244, + "step": 1600 + }, + { + "epoch": 0.25, + "mmlu_eval_accuracy": 0.5733642244334194, + "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.75, + "mmlu_eval_accuracy_business_ethics": 0.7272727272727273, + "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, + "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.7272727272727273, + "mmlu_eval_accuracy_conceptual_physics": 0.5384615384615384, + "mmlu_eval_accuracy_econometrics": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.625, + "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, + "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.53125, + "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, + "mmlu_eval_accuracy_high_school_mathematics": 0.3793103448275862, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, + "mmlu_eval_accuracy_international_law": 0.8461538461538461, + "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.6976744186046512, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.25, + "mmlu_eval_accuracy_nutrition": 0.6363636363636364, + "mmlu_eval_accuracy_philosophy": 0.7941176470588235, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, + "mmlu_eval_accuracy_professional_law": 0.3941176470588235, + "mmlu_eval_accuracy_professional_medicine": 0.6774193548387096, + "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.8636363636363636, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.0121555119441632, + "step": 1600 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6559, + "step": 1601 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7985, + "step": 1602 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6744, + "step": 1603 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6748, + "step": 1604 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.3479, + "step": 1605 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.5993, + "step": 1606 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.8035, + "step": 1607 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.9557, + "step": 1608 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7531, + "step": 1609 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6486, + "step": 1610 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.9706, + "step": 1611 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.5581, + "step": 1612 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.919, + "step": 1613 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.9466, + "step": 1614 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.8898, + "step": 1615 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7434, + "step": 1616 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7921, + "step": 1617 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.5485, + "step": 1618 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6055, + "step": 1619 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7697, + "step": 1620 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6862, + "step": 1621 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.5467, + "step": 1622 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.8598, + "step": 1623 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.9732, + "step": 1624 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.9113, + "step": 1625 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.8042, + "step": 1626 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7709, + "step": 1627 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.9817, + "step": 1628 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.83, + "step": 1629 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6952, + "step": 1630 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.81, + "step": 1631 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.9719, + "step": 1632 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 1.0444, + "step": 1633 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7963, + "step": 1634 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6321, + "step": 1635 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7989, + "step": 1636 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6231, + "step": 1637 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7315, + "step": 1638 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6945, + "step": 1639 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7056, + "step": 1640 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7879, + "step": 1641 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.8116, + "step": 1642 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.9541, + "step": 1643 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7521, + "step": 1644 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6246, + "step": 1645 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 1.1269, + "step": 1646 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7147, + "step": 1647 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.5071, + "step": 1648 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6684, + "step": 1649 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.8782, + "step": 1650 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6363, + "step": 1651 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 1.0681, + "step": 1652 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.8154, + "step": 1653 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.9955, + "step": 1654 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.718, + "step": 1655 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.8424, + "step": 1656 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7333, + "step": 1657 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.8648, + "step": 1658 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6718, + "step": 1659 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.9124, + "step": 1660 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6898, + "step": 1661 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.8322, + "step": 1662 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.9424, + "step": 1663 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7781, + "step": 1664 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.8545, + "step": 1665 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7686, + "step": 1666 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.432, + "step": 1667 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.9669, + "step": 1668 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6891, + "step": 1669 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.5121, + "step": 1670 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7999, + "step": 1671 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 1.0112, + "step": 1672 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6336, + "step": 1673 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6391, + "step": 1674 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.8854, + "step": 1675 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.9097, + "step": 1676 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.7444, + "step": 1677 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.9516, + "step": 1678 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.4854, + "step": 1679 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.7281, + "step": 1680 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.964, + "step": 1681 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 1.007, + "step": 1682 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.9546, + "step": 1683 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6811, + "step": 1684 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.7161, + "step": 1685 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.726, + "step": 1686 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6996, + "step": 1687 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 1.0145, + "step": 1688 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.889, + "step": 1689 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 1.0023, + "step": 1690 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.656, + "step": 1691 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6975, + "step": 1692 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.8756, + "step": 1693 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.9128, + "step": 1694 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.8657, + "step": 1695 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.4795, + "step": 1696 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.9357, + "step": 1697 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6566, + "step": 1698 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.8486, + "step": 1699 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.861, + "step": 1700 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6127, + "step": 1701 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6746, + "step": 1702 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6094, + "step": 1703 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.589, + "step": 1704 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6729, + "step": 1705 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.8266, + "step": 1706 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.8837, + "step": 1707 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.8145, + "step": 1708 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.908, + "step": 1709 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6607, + "step": 1710 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.7495, + "step": 1711 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.8221, + "step": 1712 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.8076, + "step": 1713 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6127, + "step": 1714 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.8426, + "step": 1715 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.8807, + "step": 1716 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 1.3035, + "step": 1717 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6628, + "step": 1718 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 1.0253, + "step": 1719 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.9348, + "step": 1720 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 1.2152, + "step": 1721 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.9956, + "step": 1722 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.9266, + "step": 1723 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6141, + "step": 1724 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 1.0339, + "step": 1725 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.8243, + "step": 1726 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.9482, + "step": 1727 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.8376, + "step": 1728 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6147, + "step": 1729 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.8381, + "step": 1730 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.5855, + "step": 1731 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.8992, + "step": 1732 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.763, + "step": 1733 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.8548, + "step": 1734 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.8334, + "step": 1735 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6839, + "step": 1736 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7595, + "step": 1737 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6895, + "step": 1738 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6316, + "step": 1739 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.5825, + "step": 1740 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 1.0002, + "step": 1741 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7932, + "step": 1742 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.9761, + "step": 1743 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.9799, + "step": 1744 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.884, + "step": 1745 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 1.0672, + "step": 1746 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.8691, + "step": 1747 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7545, + "step": 1748 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.9595, + "step": 1749 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.8997, + "step": 1750 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.8276, + "step": 1751 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6647, + "step": 1752 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6178, + "step": 1753 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6465, + "step": 1754 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.8207, + "step": 1755 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7375, + "step": 1756 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.817, + "step": 1757 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7523, + "step": 1758 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7436, + "step": 1759 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.862, + "step": 1760 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6027, + "step": 1761 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 1.0993, + "step": 1762 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7264, + "step": 1763 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7312, + "step": 1764 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.5326, + "step": 1765 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.8302, + "step": 1766 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.793, + "step": 1767 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7855, + "step": 1768 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.9478, + "step": 1769 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 1.046, + "step": 1770 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7903, + "step": 1771 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7707, + "step": 1772 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6476, + "step": 1773 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6649, + "step": 1774 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7747, + "step": 1775 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.666, + "step": 1776 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.928, + "step": 1777 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7811, + "step": 1778 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7523, + "step": 1779 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6443, + "step": 1780 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.8331, + "step": 1781 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.9173, + "step": 1782 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 1.0896, + "step": 1783 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.8146, + "step": 1784 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.5829, + "step": 1785 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7593, + "step": 1786 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.88, + "step": 1787 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.9385, + "step": 1788 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7955, + "step": 1789 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.796, + "step": 1790 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7761, + "step": 1791 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.5717, + "step": 1792 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.8345, + "step": 1793 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6638, + "step": 1794 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6079, + "step": 1795 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.4035, + "step": 1796 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7598, + "step": 1797 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7892, + "step": 1798 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7325, + "step": 1799 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7729, + "step": 1800 + }, + { + "epoch": 0.29, + "eval_loss": 0.7652225494384766, + "eval_runtime": 154.2033, + "eval_samples_per_second": 6.485, + "eval_steps_per_second": 3.242, + "step": 1800 + }, + { + "epoch": 0.29, + "mmlu_eval_accuracy": 0.5765095479811685, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.625, + "mmlu_eval_accuracy_business_ethics": 0.7272727272727273, + "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, + "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, + "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.6363636363636364, + "mmlu_eval_accuracy_conceptual_physics": 0.5, + "mmlu_eval_accuracy_econometrics": 0.4166666666666667, + "mmlu_eval_accuracy_electrical_engineering": 0.625, + "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.59375, + "mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.6511627906976745, + "mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.4782608695652174, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, + "mmlu_eval_accuracy_human_aging": 0.6956521739130435, + "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, + "mmlu_eval_accuracy_international_law": 0.9230769230769231, + "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, + "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, + "mmlu_eval_accuracy_moral_scenarios": 0.25, + "mmlu_eval_accuracy_nutrition": 0.5757575757575758, + "mmlu_eval_accuracy_philosophy": 0.7647058823529411, + "mmlu_eval_accuracy_prehistory": 0.6571428571428571, + "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, + "mmlu_eval_accuracy_professional_law": 0.3764705882352941, + "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, + "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.8636363636363636, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.8947368421052632, + "mmlu_loss": 1.0694255531612327, + "step": 1800 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7147, + "step": 1801 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 1.0304, + "step": 1802 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.8384, + "step": 1803 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7464, + "step": 1804 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 1.043, + "step": 1805 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.619, + "step": 1806 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 1.0519, + "step": 1807 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.8651, + "step": 1808 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7617, + "step": 1809 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.755, + "step": 1810 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.8388, + "step": 1811 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6463, + "step": 1812 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.8868, + "step": 1813 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7814, + "step": 1814 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.5981, + "step": 1815 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.9583, + "step": 1816 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.8032, + "step": 1817 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6669, + "step": 1818 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6046, + "step": 1819 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.8775, + "step": 1820 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.8444, + "step": 1821 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 1.08, + "step": 1822 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.9219, + "step": 1823 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7277, + "step": 1824 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.5488, + "step": 1825 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7931, + "step": 1826 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6865, + "step": 1827 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.8848, + "step": 1828 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6987, + "step": 1829 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7248, + "step": 1830 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6772, + "step": 1831 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.664, + "step": 1832 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.9481, + "step": 1833 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.9042, + "step": 1834 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6413, + "step": 1835 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.8847, + "step": 1836 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.8263, + "step": 1837 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.9214, + "step": 1838 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7832, + "step": 1839 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.4327, + "step": 1840 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.5015, + "step": 1841 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 1.0174, + "step": 1842 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.3996, + "step": 1843 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 1.0151, + "step": 1844 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.5216, + "step": 1845 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6654, + "step": 1846 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.892, + "step": 1847 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7731, + "step": 1848 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6815, + "step": 1849 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.899, + "step": 1850 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7405, + "step": 1851 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.67, + "step": 1852 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.8762, + "step": 1853 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7586, + "step": 1854 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.8168, + "step": 1855 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.4994, + "step": 1856 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.9621, + "step": 1857 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.8475, + "step": 1858 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6501, + "step": 1859 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 1.0417, + "step": 1860 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.8353, + "step": 1861 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.8371, + "step": 1862 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.8917, + "step": 1863 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.5673, + "step": 1864 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.4438, + "step": 1865 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6648, + "step": 1866 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.9028, + "step": 1867 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.485, + "step": 1868 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.7746, + "step": 1869 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.5647, + "step": 1870 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.7399, + "step": 1871 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.8811, + "step": 1872 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.9059, + "step": 1873 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6961, + "step": 1874 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.866, + "step": 1875 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.7398, + "step": 1876 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.8512, + "step": 1877 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.71, + "step": 1878 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.7673, + "step": 1879 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.8134, + "step": 1880 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.5752, + "step": 1881 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.5567, + "step": 1882 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6224, + "step": 1883 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.7246, + "step": 1884 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6946, + "step": 1885 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 1.0884, + "step": 1886 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.4814, + "step": 1887 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.9101, + "step": 1888 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.7159, + "step": 1889 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.7868, + "step": 1890 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6432, + "step": 1891 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6705, + "step": 1892 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.9532, + "step": 1893 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.9045, + "step": 1894 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.8484, + "step": 1895 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.9325, + "step": 1896 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.7718, + "step": 1897 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 1.0328, + "step": 1898 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6488, + "step": 1899 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6258, + "step": 1900 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.795, + "step": 1901 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 1.1184, + "step": 1902 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 1.0038, + "step": 1903 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.768, + "step": 1904 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6593, + "step": 1905 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.7868, + "step": 1906 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.714, + "step": 1907 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.8889, + "step": 1908 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.9018, + "step": 1909 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6885, + "step": 1910 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6492, + "step": 1911 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.7973, + "step": 1912 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.7971, + "step": 1913 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.8042, + "step": 1914 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.83, + "step": 1915 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6872, + "step": 1916 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.4021, + "step": 1917 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.9661, + "step": 1918 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6517, + "step": 1919 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.7495, + "step": 1920 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6288, + "step": 1921 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.7526, + "step": 1922 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.5063, + "step": 1923 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 1.9237, + "step": 1924 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 1.0143, + "step": 1925 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.78, + "step": 1926 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.5635, + "step": 1927 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7856, + "step": 1928 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.9029, + "step": 1929 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.5173, + "step": 1930 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.5283, + "step": 1931 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7275, + "step": 1932 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6767, + "step": 1933 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7294, + "step": 1934 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.8673, + "step": 1935 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.9561, + "step": 1936 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.4736, + "step": 1937 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.808, + "step": 1938 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7346, + "step": 1939 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.57, + "step": 1940 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7706, + "step": 1941 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.8935, + "step": 1942 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.8411, + "step": 1943 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.8875, + "step": 1944 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.8127, + "step": 1945 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 1.0097, + "step": 1946 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.3324, + "step": 1947 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.8268, + "step": 1948 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6523, + "step": 1949 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 1.105, + "step": 1950 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.3956, + "step": 1951 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6284, + "step": 1952 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7074, + "step": 1953 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7326, + "step": 1954 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.8133, + "step": 1955 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.9392, + "step": 1956 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 1.04, + "step": 1957 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.4766, + "step": 1958 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.5991, + "step": 1959 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.8457, + "step": 1960 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.5729, + "step": 1961 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.8705, + "step": 1962 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6766, + "step": 1963 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 1.025, + "step": 1964 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7946, + "step": 1965 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6772, + "step": 1966 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7162, + "step": 1967 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.8889, + "step": 1968 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.8136, + "step": 1969 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7546, + "step": 1970 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7316, + "step": 1971 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.8696, + "step": 1972 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6295, + "step": 1973 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7586, + "step": 1974 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6214, + "step": 1975 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.5991, + "step": 1976 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7149, + "step": 1977 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.4713, + "step": 1978 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 1.0361, + "step": 1979 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.9754, + "step": 1980 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6092, + "step": 1981 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.8828, + "step": 1982 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.8207, + "step": 1983 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7892, + "step": 1984 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6253, + "step": 1985 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6763, + "step": 1986 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7041, + "step": 1987 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7459, + "step": 1988 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.7447, + "step": 1989 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.8614, + "step": 1990 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.4262, + "step": 1991 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.5744, + "step": 1992 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6088, + "step": 1993 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.8663, + "step": 1994 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.7722, + "step": 1995 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6613, + "step": 1996 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.739, + "step": 1997 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6053, + "step": 1998 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.9412, + "step": 1999 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.898, + "step": 2000 + }, + { + "epoch": 0.32, + "eval_loss": 0.7676985859870911, + "eval_runtime": 154.2315, + "eval_samples_per_second": 6.484, + "eval_steps_per_second": 3.242, + "step": 2000 + }, + { + "epoch": 0.32, + "mmlu_eval_accuracy": 0.5640864599418394, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.6428571428571429, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, + "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.5, + "mmlu_eval_accuracy_college_physics": 0.36363636363636365, + "mmlu_eval_accuracy_computer_security": 0.45454545454545453, + "mmlu_eval_accuracy_conceptual_physics": 0.5384615384615384, + "mmlu_eval_accuracy_econometrics": 0.3333333333333333, + "mmlu_eval_accuracy_electrical_engineering": 0.4375, + "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.5, + "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.9090909090909091, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, + "mmlu_eval_accuracy_high_school_mathematics": 0.41379310344827586, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.8461538461538461, + "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, + "mmlu_eval_accuracy_miscellaneous": 0.7674418604651163, + "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, + "mmlu_eval_accuracy_moral_scenarios": 0.24, + "mmlu_eval_accuracy_nutrition": 0.6060606060606061, + "mmlu_eval_accuracy_philosophy": 0.7352941176470589, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, + "mmlu_eval_accuracy_professional_law": 0.3764705882352941, + "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, + "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.9545454545454546, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 0.9417161462201151, + "step": 2000 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 1.0652, + "step": 2001 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6441, + "step": 2002 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.5691, + "step": 2003 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.9025, + "step": 2004 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6908, + "step": 2005 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.9432, + "step": 2006 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 1.016, + "step": 2007 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.7493, + "step": 2008 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.8798, + "step": 2009 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.7964, + "step": 2010 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.7596, + "step": 2011 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.8049, + "step": 2012 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.7973, + "step": 2013 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.8451, + "step": 2014 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.8663, + "step": 2015 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 1.0493, + "step": 2016 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.9308, + "step": 2017 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6604, + "step": 2018 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6542, + "step": 2019 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.8833, + "step": 2020 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.9241, + "step": 2021 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.8019, + "step": 2022 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 1.0525, + "step": 2023 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.872, + "step": 2024 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6902, + "step": 2025 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.8435, + "step": 2026 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.7016, + "step": 2027 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.4241, + "step": 2028 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 1.0152, + "step": 2029 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.5511, + "step": 2030 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.9795, + "step": 2031 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.7328, + "step": 2032 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.8715, + "step": 2033 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 1.0683, + "step": 2034 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.8409, + "step": 2035 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 1.0185, + "step": 2036 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.8354, + "step": 2037 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6793, + "step": 2038 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.7087, + "step": 2039 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.7619, + "step": 2040 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.5963, + "step": 2041 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.7553, + "step": 2042 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.659, + "step": 2043 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6728, + "step": 2044 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.8379, + "step": 2045 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6598, + "step": 2046 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6601, + "step": 2047 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.9268, + "step": 2048 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.9531, + "step": 2049 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.5028, + "step": 2050 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.7423, + "step": 2051 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7263, + "step": 2052 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.9351, + "step": 2053 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7907, + "step": 2054 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7326, + "step": 2055 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.8443, + "step": 2056 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7369, + "step": 2057 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.9302, + "step": 2058 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.5179, + "step": 2059 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.9291, + "step": 2060 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.8492, + "step": 2061 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7705, + "step": 2062 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.5731, + "step": 2063 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.771, + "step": 2064 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7434, + "step": 2065 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.534, + "step": 2066 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.8025, + "step": 2067 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.5734, + "step": 2068 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7774, + "step": 2069 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.8474, + "step": 2070 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.9787, + "step": 2071 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6986, + "step": 2072 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.9275, + "step": 2073 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.8907, + "step": 2074 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.8997, + "step": 2075 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7105, + "step": 2076 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.8208, + "step": 2077 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7888, + "step": 2078 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7929, + "step": 2079 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.8126, + "step": 2080 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.615, + "step": 2081 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.617, + "step": 2082 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.709, + "step": 2083 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.9028, + "step": 2084 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.9645, + "step": 2085 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.8937, + "step": 2086 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.54, + "step": 2087 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7861, + "step": 2088 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6034, + "step": 2089 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.9034, + "step": 2090 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.8313, + "step": 2091 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.767, + "step": 2092 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.8149, + "step": 2093 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.5977, + "step": 2094 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7858, + "step": 2095 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 1.0866, + "step": 2096 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.5668, + "step": 2097 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.9827, + "step": 2098 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.8649, + "step": 2099 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7533, + "step": 2100 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.5509, + "step": 2101 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.5933, + "step": 2102 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7692, + "step": 2103 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.8846, + "step": 2104 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.9229, + "step": 2105 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6652, + "step": 2106 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.9431, + "step": 2107 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 1.081, + "step": 2108 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6832, + "step": 2109 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7301, + "step": 2110 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7732, + "step": 2111 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7425, + "step": 2112 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7916, + "step": 2113 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 1.0206, + "step": 2114 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.611, + "step": 2115 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.8323, + "step": 2116 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.8381, + "step": 2117 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6893, + "step": 2118 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.859, + "step": 2119 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7926, + "step": 2120 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.767, + "step": 2121 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7605, + "step": 2122 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7102, + "step": 2123 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7836, + "step": 2124 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6004, + "step": 2125 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.5727, + "step": 2126 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7718, + "step": 2127 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6432, + "step": 2128 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 1.0314, + "step": 2129 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7587, + "step": 2130 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7912, + "step": 2131 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.9535, + "step": 2132 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.9097, + "step": 2133 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7309, + "step": 2134 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6992, + "step": 2135 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.8927, + "step": 2136 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.9019, + "step": 2137 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7816, + "step": 2138 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.9644, + "step": 2139 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6109, + "step": 2140 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6592, + "step": 2141 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6437, + "step": 2142 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6275, + "step": 2143 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7148, + "step": 2144 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.9256, + "step": 2145 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.8743, + "step": 2146 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6766, + "step": 2147 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.8018, + "step": 2148 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 1.0416, + "step": 2149 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7689, + "step": 2150 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7215, + "step": 2151 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6718, + "step": 2152 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7038, + "step": 2153 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7561, + "step": 2154 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7193, + "step": 2155 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.598, + "step": 2156 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 1.0876, + "step": 2157 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.8568, + "step": 2158 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.653, + "step": 2159 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.9346, + "step": 2160 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7127, + "step": 2161 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7315, + "step": 2162 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.9204, + "step": 2163 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 1.07, + "step": 2164 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.8526, + "step": 2165 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6097, + "step": 2166 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6705, + "step": 2167 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6499, + "step": 2168 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.8525, + "step": 2169 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.8086, + "step": 2170 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7178, + "step": 2171 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7612, + "step": 2172 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7683, + "step": 2173 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.5875, + "step": 2174 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7196, + "step": 2175 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7607, + "step": 2176 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7643, + "step": 2177 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 1.0722, + "step": 2178 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6848, + "step": 2179 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.8905, + "step": 2180 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.8731, + "step": 2181 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6571, + "step": 2182 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 1.0597, + "step": 2183 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6344, + "step": 2184 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6784, + "step": 2185 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.761, + "step": 2186 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.4145, + "step": 2187 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7603, + "step": 2188 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7521, + "step": 2189 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.5752, + "step": 2190 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6411, + "step": 2191 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.8559, + "step": 2192 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7468, + "step": 2193 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.646, + "step": 2194 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.617, + "step": 2195 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7024, + "step": 2196 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.763, + "step": 2197 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7023, + "step": 2198 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.9352, + "step": 2199 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.8028, + "step": 2200 + }, + { + "epoch": 0.35, + "eval_loss": 0.7651883363723755, + "eval_runtime": 154.1633, + "eval_samples_per_second": 6.487, + "eval_steps_per_second": 3.243, + "step": 2200 + }, + { + "epoch": 0.35, + "mmlu_eval_accuracy": 0.5660662448609947, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.75, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, + "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.45454545454545453, + "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, + "mmlu_eval_accuracy_econometrics": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.5, + "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.2, + "mmlu_eval_accuracy_high_school_biology": 0.40625, + "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.6511627906976745, + "mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.85, + "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, + "mmlu_eval_accuracy_human_aging": 0.6956521739130435, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 1.0, + "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, + "mmlu_eval_accuracy_moral_disputes": 0.6052631578947368, + "mmlu_eval_accuracy_moral_scenarios": 0.31, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.7058823529411765, + "mmlu_eval_accuracy_prehistory": 0.6, + "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, + "mmlu_eval_accuracy_professional_law": 0.3764705882352941, + "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, + "mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "mmlu_eval_accuracy_sociology": 0.9090909090909091, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.0032775492332, + "step": 2200 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.9028, + "step": 2201 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.5806, + "step": 2202 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6339, + "step": 2203 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7902, + "step": 2204 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.5445, + "step": 2205 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.8133, + "step": 2206 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6843, + "step": 2207 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6008, + "step": 2208 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6662, + "step": 2209 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.9754, + "step": 2210 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.4907, + "step": 2211 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.9172, + "step": 2212 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 1.3219, + "step": 2213 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7469, + "step": 2214 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.9137, + "step": 2215 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7453, + "step": 2216 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7488, + "step": 2217 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6764, + "step": 2218 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7225, + "step": 2219 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6804, + "step": 2220 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.5959, + "step": 2221 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.9529, + "step": 2222 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7674, + "step": 2223 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.5764, + "step": 2224 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.9934, + "step": 2225 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6782, + "step": 2226 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6018, + "step": 2227 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7257, + "step": 2228 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7192, + "step": 2229 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6034, + "step": 2230 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 1.0081, + "step": 2231 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6415, + "step": 2232 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.5903, + "step": 2233 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.8757, + "step": 2234 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.5541, + "step": 2235 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.4051, + "step": 2236 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.8054, + "step": 2237 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.706, + "step": 2238 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.5371, + "step": 2239 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.8356, + "step": 2240 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7072, + "step": 2241 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.9304, + "step": 2242 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.4524, + "step": 2243 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7466, + "step": 2244 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.5997, + "step": 2245 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.8495, + "step": 2246 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7294, + "step": 2247 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.8635, + "step": 2248 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.5812, + "step": 2249 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6445, + "step": 2250 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7867, + "step": 2251 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6845, + "step": 2252 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.4957, + "step": 2253 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.9406, + "step": 2254 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7521, + "step": 2255 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.5711, + "step": 2256 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.8207, + "step": 2257 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6694, + "step": 2258 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7207, + "step": 2259 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7083, + "step": 2260 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 1.0189, + "step": 2261 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.8612, + "step": 2262 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.8677, + "step": 2263 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6715, + "step": 2264 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.613, + "step": 2265 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.5192, + "step": 2266 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7587, + "step": 2267 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.8895, + "step": 2268 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7601, + "step": 2269 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7784, + "step": 2270 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6201, + "step": 2271 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.9124, + "step": 2272 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.5006, + "step": 2273 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.4803, + "step": 2274 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6261, + "step": 2275 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 1.0411, + "step": 2276 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7963, + "step": 2277 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.5156, + "step": 2278 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.8242, + "step": 2279 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.5926, + "step": 2280 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.706, + "step": 2281 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.8337, + "step": 2282 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7706, + "step": 2283 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.8174, + "step": 2284 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6997, + "step": 2285 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.8908, + "step": 2286 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.5795, + "step": 2287 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.4157, + "step": 2288 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.667, + "step": 2289 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6896, + "step": 2290 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.8381, + "step": 2291 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.4569, + "step": 2292 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7577, + "step": 2293 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6098, + "step": 2294 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.5901, + "step": 2295 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 1.2479, + "step": 2296 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 1.0104, + "step": 2297 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.9279, + "step": 2298 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6048, + "step": 2299 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.8614, + "step": 2300 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.801, + "step": 2301 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7454, + "step": 2302 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7341, + "step": 2303 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.5231, + "step": 2304 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7058, + "step": 2305 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8307, + "step": 2306 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8121, + "step": 2307 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7077, + "step": 2308 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 1.3068, + "step": 2309 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8777, + "step": 2310 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7639, + "step": 2311 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.5534, + "step": 2312 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7567, + "step": 2313 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7601, + "step": 2314 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.9011, + "step": 2315 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7401, + "step": 2316 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8722, + "step": 2317 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.3922, + "step": 2318 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.566, + "step": 2319 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.9724, + "step": 2320 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7435, + "step": 2321 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.9256, + "step": 2322 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8565, + "step": 2323 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7397, + "step": 2324 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7206, + "step": 2325 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.5781, + "step": 2326 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7947, + "step": 2327 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.9134, + "step": 2328 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7724, + "step": 2329 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7839, + "step": 2330 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.5617, + "step": 2331 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.5283, + "step": 2332 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8845, + "step": 2333 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.9394, + "step": 2334 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.5065, + "step": 2335 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7226, + "step": 2336 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8484, + "step": 2337 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.9959, + "step": 2338 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8621, + "step": 2339 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8229, + "step": 2340 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 1.098, + "step": 2341 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7376, + "step": 2342 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.6809, + "step": 2343 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8448, + "step": 2344 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.815, + "step": 2345 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.553, + "step": 2346 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8353, + "step": 2347 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.6692, + "step": 2348 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8624, + "step": 2349 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.6762, + "step": 2350 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.6933, + "step": 2351 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8819, + "step": 2352 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8977, + "step": 2353 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.4797, + "step": 2354 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7995, + "step": 2355 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7238, + "step": 2356 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7433, + "step": 2357 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7697, + "step": 2358 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 1.0265, + "step": 2359 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7768, + "step": 2360 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8289, + "step": 2361 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8881, + "step": 2362 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8236, + "step": 2363 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.6492, + "step": 2364 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 1.0229, + "step": 2365 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.9183, + "step": 2366 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.8145, + "step": 2367 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6277, + "step": 2368 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 1.1702, + "step": 2369 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.7412, + "step": 2370 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6011, + "step": 2371 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.8508, + "step": 2372 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.8252, + "step": 2373 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.7023, + "step": 2374 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.8433, + "step": 2375 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.5978, + "step": 2376 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6374, + "step": 2377 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.7186, + "step": 2378 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.5166, + "step": 2379 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.8021, + "step": 2380 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6947, + "step": 2381 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.9828, + "step": 2382 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.594, + "step": 2383 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6464, + "step": 2384 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.7427, + "step": 2385 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.4973, + "step": 2386 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.4356, + "step": 2387 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.5693, + "step": 2388 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.8429, + "step": 2389 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.732, + "step": 2390 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.877, + "step": 2391 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.517, + "step": 2392 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.9646, + "step": 2393 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.9545, + "step": 2394 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.8539, + "step": 2395 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.7505, + "step": 2396 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.9533, + "step": 2397 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6778, + "step": 2398 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.9345, + "step": 2399 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.8759, + "step": 2400 + }, + { + "epoch": 0.38, + "eval_loss": 0.7651224732398987, + "eval_runtime": 154.2484, + "eval_samples_per_second": 6.483, + "eval_steps_per_second": 3.242, + "step": 2400 + }, + { + "epoch": 0.38, + "mmlu_eval_accuracy": 0.5624705798486987, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.5625, + "mmlu_eval_accuracy_business_ethics": 0.7272727272727273, + "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552, + "mmlu_eval_accuracy_college_biology": 0.6875, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, + "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, + "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.36363636363636365, + "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, + "mmlu_eval_accuracy_econometrics": 0.4166666666666667, + "mmlu_eval_accuracy_electrical_engineering": 0.4375, + "mmlu_eval_accuracy_elementary_mathematics": 0.4634146341463415, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.375, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.9090909090909091, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, + "mmlu_eval_accuracy_high_school_mathematics": 0.41379310344827586, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.85, + "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, + "mmlu_eval_accuracy_human_aging": 0.782608695652174, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.9230769230769231, + "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.92, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, + "mmlu_eval_accuracy_moral_disputes": 0.6052631578947368, + "mmlu_eval_accuracy_moral_scenarios": 0.25, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.7352941176470589, + "mmlu_eval_accuracy_prehistory": 0.4857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, + "mmlu_eval_accuracy_professional_law": 0.3764705882352941, + "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, + "mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.9090909090909091, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 1.1194534825438307, + "step": 2400 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6206, + "step": 2401 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.9718, + "step": 2402 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.8169, + "step": 2403 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.69, + "step": 2404 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6925, + "step": 2405 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 1.0063, + "step": 2406 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.5846, + "step": 2407 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.5876, + "step": 2408 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 1.0634, + "step": 2409 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.7269, + "step": 2410 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.8603, + "step": 2411 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6938, + "step": 2412 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.8736, + "step": 2413 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.7956, + "step": 2414 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6972, + "step": 2415 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.7999, + "step": 2416 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6066, + "step": 2417 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.8752, + "step": 2418 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.9231, + "step": 2419 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.8189, + "step": 2420 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.9343, + "step": 2421 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6707, + "step": 2422 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6636, + "step": 2423 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.663, + "step": 2424 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.888, + "step": 2425 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.8586, + "step": 2426 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.5672, + "step": 2427 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.7757, + "step": 2428 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.7973, + "step": 2429 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.7226, + "step": 2430 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.9112, + "step": 2431 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7809, + "step": 2432 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 1.1891, + "step": 2433 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.8708, + "step": 2434 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.806, + "step": 2435 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.88, + "step": 2436 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.8345, + "step": 2437 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.9437, + "step": 2438 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.8135, + "step": 2439 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7038, + "step": 2440 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.8935, + "step": 2441 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.437, + "step": 2442 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7927, + "step": 2443 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7057, + "step": 2444 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7662, + "step": 2445 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.8216, + "step": 2446 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.4736, + "step": 2447 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.8618, + "step": 2448 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.8377, + "step": 2449 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.835, + "step": 2450 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.5387, + "step": 2451 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.3974, + "step": 2452 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6561, + "step": 2453 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7845, + "step": 2454 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.621, + "step": 2455 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.623, + "step": 2456 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6785, + "step": 2457 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7822, + "step": 2458 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6686, + "step": 2459 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.761, + "step": 2460 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 1.0861, + "step": 2461 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7419, + "step": 2462 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6922, + "step": 2463 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6752, + "step": 2464 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.8933, + "step": 2465 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.5946, + "step": 2466 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7595, + "step": 2467 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7645, + "step": 2468 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6758, + "step": 2469 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.9602, + "step": 2470 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.5958, + "step": 2471 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6995, + "step": 2472 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6133, + "step": 2473 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7518, + "step": 2474 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.8109, + "step": 2475 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6634, + "step": 2476 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.664, + "step": 2477 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7698, + "step": 2478 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6105, + "step": 2479 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7868, + "step": 2480 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.9841, + "step": 2481 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7156, + "step": 2482 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.5704, + "step": 2483 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.9989, + "step": 2484 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6164, + "step": 2485 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.781, + "step": 2486 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.9494, + "step": 2487 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6019, + "step": 2488 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7856, + "step": 2489 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7254, + "step": 2490 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.9502, + "step": 2491 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6858, + "step": 2492 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.9666, + "step": 2493 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6383, + "step": 2494 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.868, + "step": 2495 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7429, + "step": 2496 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 1.0344, + "step": 2497 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.8218, + "step": 2498 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6882, + "step": 2499 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.8617, + "step": 2500 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.8927, + "step": 2501 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.9421, + "step": 2502 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.842, + "step": 2503 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.5198, + "step": 2504 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6956, + "step": 2505 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6876, + "step": 2506 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.9103, + "step": 2507 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.736, + "step": 2508 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7183, + "step": 2509 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7013, + "step": 2510 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.8832, + "step": 2511 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7887, + "step": 2512 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.9484, + "step": 2513 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.8062, + "step": 2514 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6902, + "step": 2515 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.855, + "step": 2516 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 1.2346, + "step": 2517 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.8135, + "step": 2518 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7842, + "step": 2519 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6226, + "step": 2520 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.8105, + "step": 2521 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7092, + "step": 2522 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.8569, + "step": 2523 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.8793, + "step": 2524 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.8025, + "step": 2525 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.8359, + "step": 2526 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7059, + "step": 2527 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.8905, + "step": 2528 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7131, + "step": 2529 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6884, + "step": 2530 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6592, + "step": 2531 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.9285, + "step": 2532 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6421, + "step": 2533 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7145, + "step": 2534 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7694, + "step": 2535 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7482, + "step": 2536 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.5778, + "step": 2537 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.5525, + "step": 2538 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.8711, + "step": 2539 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.971, + "step": 2540 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7225, + "step": 2541 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.4895, + "step": 2542 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6673, + "step": 2543 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.5987, + "step": 2544 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7015, + "step": 2545 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6587, + "step": 2546 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.5999, + "step": 2547 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.8582, + "step": 2548 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7123, + "step": 2549 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.8132, + "step": 2550 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6125, + "step": 2551 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6748, + "step": 2552 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6799, + "step": 2553 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.78, + "step": 2554 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.846, + "step": 2555 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.5806, + "step": 2556 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.9196, + "step": 2557 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.8931, + "step": 2558 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7888, + "step": 2559 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.779, + "step": 2560 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.9353, + "step": 2561 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6848, + "step": 2562 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.4665, + "step": 2563 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7483, + "step": 2564 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 1.0337, + "step": 2565 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6033, + "step": 2566 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6239, + "step": 2567 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.5735, + "step": 2568 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.9526, + "step": 2569 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 1.0108, + "step": 2570 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.9184, + "step": 2571 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.8799, + "step": 2572 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.78, + "step": 2573 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.5785, + "step": 2574 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6739, + "step": 2575 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.8482, + "step": 2576 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.8114, + "step": 2577 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.8108, + "step": 2578 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7972, + "step": 2579 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.8059, + "step": 2580 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7114, + "step": 2581 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.8087, + "step": 2582 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7473, + "step": 2583 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7232, + "step": 2584 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.8243, + "step": 2585 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.8246, + "step": 2586 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.8495, + "step": 2587 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.5323, + "step": 2588 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 1.1253, + "step": 2589 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.9701, + "step": 2590 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6898, + "step": 2591 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.624, + "step": 2592 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.9637, + "step": 2593 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.9289, + "step": 2594 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 1.0066, + "step": 2595 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7497, + "step": 2596 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.734, + "step": 2597 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.4871, + "step": 2598 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.4253, + "step": 2599 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.5948, + "step": 2600 + }, + { + "epoch": 0.41, + "eval_loss": 0.7661512494087219, + "eval_runtime": 154.0727, + "eval_samples_per_second": 6.49, + "eval_steps_per_second": 3.245, + "step": 2600 + }, + { + "epoch": 0.41, + "mmlu_eval_accuracy": 0.5679563659767859, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, + "mmlu_eval_accuracy_college_biology": 0.6875, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, + "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.5, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.45454545454545453, + "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, + "mmlu_eval_accuracy_econometrics": 0.4166666666666667, + "mmlu_eval_accuracy_electrical_engineering": 0.5625, + "mmlu_eval_accuracy_elementary_mathematics": 0.4634146341463415, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.4375, + "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333, + "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, + "mmlu_eval_accuracy_human_aging": 0.782608695652174, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.8461538461538461, + "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.8, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, + "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, + "mmlu_eval_accuracy_moral_scenarios": 0.31, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.7352941176470589, + "mmlu_eval_accuracy_prehistory": 0.5714285714285714, + "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, + "mmlu_eval_accuracy_professional_law": 0.40588235294117647, + "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, + "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.9090909090909091, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.0179552338608873, + "step": 2600 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.8843, + "step": 2601 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.812, + "step": 2602 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6411, + "step": 2603 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7164, + "step": 2604 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 1.0682, + "step": 2605 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.8123, + "step": 2606 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.48, + "step": 2607 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 1.0163, + "step": 2608 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6776, + "step": 2609 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6648, + "step": 2610 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.9115, + "step": 2611 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.9277, + "step": 2612 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7041, + "step": 2613 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.8077, + "step": 2614 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7168, + "step": 2615 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7957, + "step": 2616 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7803, + "step": 2617 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7448, + "step": 2618 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7608, + "step": 2619 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.5486, + "step": 2620 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7254, + "step": 2621 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.8062, + "step": 2622 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.6394, + "step": 2623 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.6803, + "step": 2624 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.8534, + "step": 2625 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.8728, + "step": 2626 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.9337, + "step": 2627 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7832, + "step": 2628 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.892, + "step": 2629 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.5206, + "step": 2630 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.6818, + "step": 2631 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7798, + "step": 2632 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.9207, + "step": 2633 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7464, + "step": 2634 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7452, + "step": 2635 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.4633, + "step": 2636 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7484, + "step": 2637 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7164, + "step": 2638 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.668, + "step": 2639 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.8043, + "step": 2640 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.8406, + "step": 2641 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.8372, + "step": 2642 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.8021, + "step": 2643 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.8184, + "step": 2644 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.9284, + "step": 2645 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.621, + "step": 2646 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.9563, + "step": 2647 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7252, + "step": 2648 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.6509, + "step": 2649 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.8042, + "step": 2650 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.4925, + "step": 2651 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.895, + "step": 2652 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.5328, + "step": 2653 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.6849, + "step": 2654 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7898, + "step": 2655 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.5941, + "step": 2656 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7705, + "step": 2657 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7203, + "step": 2658 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7277, + "step": 2659 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.9109, + "step": 2660 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.8183, + "step": 2661 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.9336, + "step": 2662 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.9547, + "step": 2663 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7118, + "step": 2664 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.9229, + "step": 2665 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.8521, + "step": 2666 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.469, + "step": 2667 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.9923, + "step": 2668 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7796, + "step": 2669 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7078, + "step": 2670 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.6577, + "step": 2671 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7557, + "step": 2672 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7277, + "step": 2673 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 1.0745, + "step": 2674 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.8817, + "step": 2675 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.8034, + "step": 2676 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.9355, + "step": 2677 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.8188, + "step": 2678 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7091, + "step": 2679 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.9192, + "step": 2680 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.976, + "step": 2681 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.626, + "step": 2682 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.7467, + "step": 2683 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6723, + "step": 2684 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8783, + "step": 2685 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.4366, + "step": 2686 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6779, + "step": 2687 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 1.0294, + "step": 2688 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.7594, + "step": 2689 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.5292, + "step": 2690 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.7544, + "step": 2691 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.666, + "step": 2692 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.898, + "step": 2693 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.9804, + "step": 2694 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.7473, + "step": 2695 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.7298, + "step": 2696 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6925, + "step": 2697 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.9618, + "step": 2698 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8334, + "step": 2699 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.9895, + "step": 2700 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.7453, + "step": 2701 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8302, + "step": 2702 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.7066, + "step": 2703 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8948, + "step": 2704 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6103, + "step": 2705 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8514, + "step": 2706 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.5317, + "step": 2707 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8515, + "step": 2708 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.9006, + "step": 2709 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8898, + "step": 2710 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 1.1376, + "step": 2711 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.7969, + "step": 2712 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.9071, + "step": 2713 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6908, + "step": 2714 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8895, + "step": 2715 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6107, + "step": 2716 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.7235, + "step": 2717 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.7149, + "step": 2718 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.7755, + "step": 2719 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6051, + "step": 2720 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8665, + "step": 2721 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 1.1083, + "step": 2722 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8693, + "step": 2723 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8784, + "step": 2724 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8176, + "step": 2725 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8451, + "step": 2726 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8351, + "step": 2727 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6871, + "step": 2728 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.5722, + "step": 2729 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 1.0001, + "step": 2730 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6871, + "step": 2731 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8315, + "step": 2732 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.4567, + "step": 2733 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.9456, + "step": 2734 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 1.1987, + "step": 2735 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.577, + "step": 2736 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8487, + "step": 2737 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6784, + "step": 2738 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8538, + "step": 2739 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8905, + "step": 2740 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6777, + "step": 2741 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.7522, + "step": 2742 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6365, + "step": 2743 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8715, + "step": 2744 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8256, + "step": 2745 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.8174, + "step": 2746 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.5741, + "step": 2747 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6881, + "step": 2748 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.761, + "step": 2749 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6263, + "step": 2750 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.8404, + "step": 2751 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.8139, + "step": 2752 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6443, + "step": 2753 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.7609, + "step": 2754 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.7508, + "step": 2755 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.898, + "step": 2756 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 1.0191, + "step": 2757 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.638, + "step": 2758 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.8798, + "step": 2759 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6677, + "step": 2760 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.5935, + "step": 2761 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.4809, + "step": 2762 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6599, + "step": 2763 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.7427, + "step": 2764 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6909, + "step": 2765 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.8595, + "step": 2766 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.9035, + "step": 2767 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.785, + "step": 2768 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.887, + "step": 2769 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6448, + "step": 2770 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.8065, + "step": 2771 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 1.3544, + "step": 2772 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.7964, + "step": 2773 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.735, + "step": 2774 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.7173, + "step": 2775 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.79, + "step": 2776 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.7712, + "step": 2777 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.8338, + "step": 2778 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.7975, + "step": 2779 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.5577, + "step": 2780 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.8836, + "step": 2781 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.9423, + "step": 2782 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.8901, + "step": 2783 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.994, + "step": 2784 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.9521, + "step": 2785 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6148, + "step": 2786 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 1.0294, + "step": 2787 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6, + "step": 2788 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.8442, + "step": 2789 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6579, + "step": 2790 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.9145, + "step": 2791 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.8967, + "step": 2792 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.8157, + "step": 2793 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.7994, + "step": 2794 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6207, + "step": 2795 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 1.0185, + "step": 2796 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6345, + "step": 2797 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.9593, + "step": 2798 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.7049, + "step": 2799 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.663, + "step": 2800 + }, + { + "epoch": 0.44, + "eval_loss": 0.7674273252487183, + "eval_runtime": 154.2084, + "eval_samples_per_second": 6.485, + "eval_steps_per_second": 3.242, + "step": 2800 + }, + { + "epoch": 0.44, + "mmlu_eval_accuracy": 0.5511994197947703, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.5625, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.125, + "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, + "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, + "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, + "mmlu_eval_accuracy_college_physics": 0.2727272727272727, + "mmlu_eval_accuracy_computer_security": 0.5454545454545454, + "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, + "mmlu_eval_accuracy_econometrics": 0.4166666666666667, + "mmlu_eval_accuracy_electrical_engineering": 0.6875, + "mmlu_eval_accuracy_elementary_mathematics": 0.4634146341463415, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.46875, + "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, + "mmlu_eval_accuracy_high_school_mathematics": 0.4827586206896552, + "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, + "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, + "mmlu_eval_accuracy_high_school_psychology": 0.7833333333333333, + "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, + "mmlu_eval_accuracy_high_school_us_history": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, + "mmlu_eval_accuracy_human_aging": 0.8260869565217391, + "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, + "mmlu_eval_accuracy_international_law": 0.8461538461538461, + "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.686046511627907, + "mmlu_eval_accuracy_moral_disputes": 0.5, + "mmlu_eval_accuracy_moral_scenarios": 0.24, + "mmlu_eval_accuracy_nutrition": 0.6363636363636364, + "mmlu_eval_accuracy_philosophy": 0.7058823529411765, + "mmlu_eval_accuracy_prehistory": 0.5142857142857142, + "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, + "mmlu_eval_accuracy_professional_law": 0.3352941176470588, + "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, + "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "mmlu_eval_accuracy_sociology": 0.8636363636363636, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 0.942348246260816, + "step": 2800 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.587, + "step": 2801 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.8977, + "step": 2802 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6955, + "step": 2803 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.4845, + "step": 2804 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.7463, + "step": 2805 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6968, + "step": 2806 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 1.0559, + "step": 2807 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.8352, + "step": 2808 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.8016, + "step": 2809 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.9315, + "step": 2810 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.9207, + "step": 2811 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.5789, + "step": 2812 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.7798, + "step": 2813 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.9765, + "step": 2814 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 1.0961, + "step": 2815 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6356, + "step": 2816 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.9308, + "step": 2817 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.7317, + "step": 2818 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6642, + "step": 2819 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.8237, + "step": 2820 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.7207, + "step": 2821 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.7373, + "step": 2822 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.9012, + "step": 2823 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.9821, + "step": 2824 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.8571, + "step": 2825 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6697, + "step": 2826 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.7659, + "step": 2827 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.8655, + "step": 2828 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.5293, + "step": 2829 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.5071, + "step": 2830 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6551, + "step": 2831 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.9504, + "step": 2832 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.7951, + "step": 2833 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.5605, + "step": 2834 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.7162, + "step": 2835 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.8557, + "step": 2836 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.5876, + "step": 2837 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.5886, + "step": 2838 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6519, + "step": 2839 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.9664, + "step": 2840 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.9408, + "step": 2841 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.8025, + "step": 2842 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 1.1454, + "step": 2843 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.5452, + "step": 2844 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.9546, + "step": 2845 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 1.0051, + "step": 2846 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.8962, + "step": 2847 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.944, + "step": 2848 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6481, + "step": 2849 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.9251, + "step": 2850 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6401, + "step": 2851 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6171, + "step": 2852 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.685, + "step": 2853 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.9159, + "step": 2854 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.5748, + "step": 2855 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.5587, + "step": 2856 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6527, + "step": 2857 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.8061, + "step": 2858 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.5341, + "step": 2859 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6837, + "step": 2860 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6611, + "step": 2861 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 1.011, + "step": 2862 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6661, + "step": 2863 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 1.0433, + "step": 2864 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.5817, + "step": 2865 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6004, + "step": 2866 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6455, + "step": 2867 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.5553, + "step": 2868 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.9338, + "step": 2869 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.9513, + "step": 2870 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6759, + "step": 2871 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6971, + "step": 2872 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.643, + "step": 2873 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6082, + "step": 2874 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.8566, + "step": 2875 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6212, + "step": 2876 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6484, + "step": 2877 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7251, + "step": 2878 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.4865, + "step": 2879 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.9865, + "step": 2880 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.8788, + "step": 2881 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7626, + "step": 2882 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.812, + "step": 2883 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7046, + "step": 2884 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6597, + "step": 2885 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.8784, + "step": 2886 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7085, + "step": 2887 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7176, + "step": 2888 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.9342, + "step": 2889 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7757, + "step": 2890 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.81, + "step": 2891 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7539, + "step": 2892 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.5108, + "step": 2893 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7267, + "step": 2894 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.8182, + "step": 2895 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.5342, + "step": 2896 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.8221, + "step": 2897 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.525, + "step": 2898 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7658, + "step": 2899 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.8098, + "step": 2900 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7154, + "step": 2901 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6155, + "step": 2902 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 1.1014, + "step": 2903 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 1.1176, + "step": 2904 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7612, + "step": 2905 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.4644, + "step": 2906 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.721, + "step": 2907 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6156, + "step": 2908 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.9569, + "step": 2909 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.5903, + "step": 2910 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.8421, + "step": 2911 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6383, + "step": 2912 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6201, + "step": 2913 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.8539, + "step": 2914 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.5631, + "step": 2915 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6047, + "step": 2916 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6235, + "step": 2917 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.74, + "step": 2918 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6723, + "step": 2919 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.9831, + "step": 2920 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.5035, + "step": 2921 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.8029, + "step": 2922 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7096, + "step": 2923 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7221, + "step": 2924 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.8989, + "step": 2925 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6671, + "step": 2926 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.8628, + "step": 2927 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7338, + "step": 2928 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7262, + "step": 2929 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6672, + "step": 2930 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 1.0155, + "step": 2931 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 1.0529, + "step": 2932 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7418, + "step": 2933 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.8946, + "step": 2934 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.743, + "step": 2935 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.7156, + "step": 2936 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.8404, + "step": 2937 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6377, + "step": 2938 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.4454, + "step": 2939 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.9867, + "step": 2940 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.9101, + "step": 2941 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6059, + "step": 2942 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.9332, + "step": 2943 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.9007, + "step": 2944 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 1.2737, + "step": 2945 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.7288, + "step": 2946 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6987, + "step": 2947 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.8003, + "step": 2948 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.5017, + "step": 2949 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.7679, + "step": 2950 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.7067, + "step": 2951 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.841, + "step": 2952 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6596, + "step": 2953 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 1.1137, + "step": 2954 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.882, + "step": 2955 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 1.2774, + "step": 2956 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.7886, + "step": 2957 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6354, + "step": 2958 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.5929, + "step": 2959 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.8442, + "step": 2960 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.605, + "step": 2961 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.7092, + "step": 2962 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.7097, + "step": 2963 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6839, + "step": 2964 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.828, + "step": 2965 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.8358, + "step": 2966 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.9713, + "step": 2967 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.617, + "step": 2968 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.8392, + "step": 2969 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.8022, + "step": 2970 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.811, + "step": 2971 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.9148, + "step": 2972 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6941, + "step": 2973 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.738, + "step": 2974 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.4141, + "step": 2975 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.8723, + "step": 2976 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6317, + "step": 2977 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.9264, + "step": 2978 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6504, + "step": 2979 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.7718, + "step": 2980 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 1.0107, + "step": 2981 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.7336, + "step": 2982 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.7582, + "step": 2983 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.4954, + "step": 2984 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6749, + "step": 2985 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.8779, + "step": 2986 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.9532, + "step": 2987 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6555, + "step": 2988 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.9404, + "step": 2989 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.7595, + "step": 2990 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.9983, + "step": 2991 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.5561, + "step": 2992 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 1.2638, + "step": 2993 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 1.0896, + "step": 2994 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.8815, + "step": 2995 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6182, + "step": 2996 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.8334, + "step": 2997 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6705, + "step": 2998 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.7409, + "step": 2999 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.5997, + "step": 3000 + }, + { + "epoch": 0.48, + "eval_loss": 0.7691279053688049, + "eval_runtime": 154.1254, + "eval_samples_per_second": 6.488, + "eval_steps_per_second": 3.244, + "step": 3000 + }, + { + "epoch": 0.48, + "mmlu_eval_accuracy": 0.5623990229668796, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, + "mmlu_eval_accuracy_college_biology": 0.75, + "mmlu_eval_accuracy_college_chemistry": 0.125, + "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, + "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.45454545454545453, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.5454545454545454, + "mmlu_eval_accuracy_conceptual_physics": 0.5384615384615384, + "mmlu_eval_accuracy_econometrics": 0.4166666666666667, + "mmlu_eval_accuracy_electrical_engineering": 0.4375, + "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, + "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.4375, + "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.8888888888888888, + "mmlu_eval_accuracy_high_school_geography": 0.9090909090909091, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, + "mmlu_eval_accuracy_high_school_mathematics": 0.3793103448275862, + "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.85, + "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, + "mmlu_eval_accuracy_human_aging": 0.8260869565217391, + "mmlu_eval_accuracy_human_sexuality": 0.5833333333333334, + "mmlu_eval_accuracy_international_law": 0.8461538461538461, + "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.6976744186046512, + "mmlu_eval_accuracy_moral_disputes": 0.5, + "mmlu_eval_accuracy_moral_scenarios": 0.29, + "mmlu_eval_accuracy_nutrition": 0.5757575757575758, + "mmlu_eval_accuracy_philosophy": 0.6764705882352942, + "mmlu_eval_accuracy_prehistory": 0.4857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, + "mmlu_eval_accuracy_professional_law": 0.37058823529411766, + "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, + "mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.9090909090909091, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 1.0620064400817333, + "step": 3000 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.9068, + "step": 3001 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.8931, + "step": 3002 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.8292, + "step": 3003 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.8151, + "step": 3004 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.8772, + "step": 3005 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.9654, + "step": 3006 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.5569, + "step": 3007 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.9775, + "step": 3008 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.8366, + "step": 3009 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6717, + "step": 3010 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.7224, + "step": 3011 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6621, + "step": 3012 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.4494, + "step": 3013 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 1.0549, + "step": 3014 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.5475, + "step": 3015 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.5793, + "step": 3016 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6459, + "step": 3017 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.8717, + "step": 3018 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.617, + "step": 3019 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.4244, + "step": 3020 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.7609, + "step": 3021 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.879, + "step": 3022 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.8133, + "step": 3023 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.5078, + "step": 3024 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.5626, + "step": 3025 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.8504, + "step": 3026 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.5335, + "step": 3027 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6964, + "step": 3028 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.9161, + "step": 3029 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.9832, + "step": 3030 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.7348, + "step": 3031 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.9649, + "step": 3032 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6193, + "step": 3033 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.5984, + "step": 3034 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.651, + "step": 3035 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.648, + "step": 3036 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.7007, + "step": 3037 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6491, + "step": 3038 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.7933, + "step": 3039 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.74, + "step": 3040 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.7283, + "step": 3041 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.9207, + "step": 3042 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.834, + "step": 3043 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.7889, + "step": 3044 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6374, + "step": 3045 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6523, + "step": 3046 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.9087, + "step": 3047 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.8387, + "step": 3048 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6058, + "step": 3049 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6205, + "step": 3050 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6565, + "step": 3051 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.9696, + "step": 3052 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.721, + "step": 3053 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6676, + "step": 3054 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.8752, + "step": 3055 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.7811, + "step": 3056 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.9415, + "step": 3057 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.7631, + "step": 3058 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.972, + "step": 3059 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 1.0149, + "step": 3060 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.9302, + "step": 3061 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6172, + "step": 3062 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.9742, + "step": 3063 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.7073, + "step": 3064 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.8104, + "step": 3065 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.7233, + "step": 3066 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.8569, + "step": 3067 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.9298, + "step": 3068 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.681, + "step": 3069 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.8772, + "step": 3070 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6969, + "step": 3071 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.7834, + "step": 3072 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.8738, + "step": 3073 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.8311, + "step": 3074 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.8388, + "step": 3075 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.8995, + "step": 3076 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.7304, + "step": 3077 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6716, + "step": 3078 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.8813, + "step": 3079 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.9288, + "step": 3080 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.5848, + "step": 3081 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.7189, + "step": 3082 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.8171, + "step": 3083 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.9371, + "step": 3084 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.635, + "step": 3085 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6763, + "step": 3086 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.905, + "step": 3087 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.8026, + "step": 3088 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.8803, + "step": 3089 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.2569, + "step": 3090 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.569, + "step": 3091 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 1.0335, + "step": 3092 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.394, + "step": 3093 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.673, + "step": 3094 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.7914, + "step": 3095 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 1.0206, + "step": 3096 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6832, + "step": 3097 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.5957, + "step": 3098 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.9287, + "step": 3099 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 1.1037, + "step": 3100 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.5888, + "step": 3101 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.8122, + "step": 3102 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.8177, + "step": 3103 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.659, + "step": 3104 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.8647, + "step": 3105 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.7491, + "step": 3106 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.9033, + "step": 3107 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.9382, + "step": 3108 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.8947, + "step": 3109 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.7379, + "step": 3110 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.7396, + "step": 3111 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.7082, + "step": 3112 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6076, + "step": 3113 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6178, + "step": 3114 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.7032, + "step": 3115 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.8485, + "step": 3116 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.7132, + "step": 3117 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.7934, + "step": 3118 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.9058, + "step": 3119 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6982, + "step": 3120 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.778, + "step": 3121 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.8369, + "step": 3122 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6503, + "step": 3123 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.9624, + "step": 3124 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7555, + "step": 3125 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7941, + "step": 3126 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.8793, + "step": 3127 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.2909, + "step": 3128 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.8029, + "step": 3129 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.5714, + "step": 3130 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6786, + "step": 3131 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7553, + "step": 3132 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.8003, + "step": 3133 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.8077, + "step": 3134 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6649, + "step": 3135 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.9211, + "step": 3136 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6922, + "step": 3137 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.9557, + "step": 3138 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.8086, + "step": 3139 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7845, + "step": 3140 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.9176, + "step": 3141 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7974, + "step": 3142 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.4942, + "step": 3143 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.799, + "step": 3144 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7597, + "step": 3145 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7709, + "step": 3146 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6799, + "step": 3147 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7983, + "step": 3148 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.8067, + "step": 3149 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.8073, + "step": 3150 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.9136, + "step": 3151 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.4973, + "step": 3152 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6159, + "step": 3153 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7834, + "step": 3154 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7408, + "step": 3155 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.8044, + "step": 3156 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.8304, + "step": 3157 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6168, + "step": 3158 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.8364, + "step": 3159 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.539, + "step": 3160 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7986, + "step": 3161 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.9465, + "step": 3162 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.9429, + "step": 3163 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7276, + "step": 3164 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.8595, + "step": 3165 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.9264, + "step": 3166 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7091, + "step": 3167 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6859, + "step": 3168 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6841, + "step": 3169 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.8086, + "step": 3170 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7288, + "step": 3171 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7661, + "step": 3172 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 1.04, + "step": 3173 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6327, + "step": 3174 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7529, + "step": 3175 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6539, + "step": 3176 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.9021, + "step": 3177 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.8607, + "step": 3178 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.5623, + "step": 3179 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6469, + "step": 3180 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.714, + "step": 3181 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.9515, + "step": 3182 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.899, + "step": 3183 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.8461, + "step": 3184 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6307, + "step": 3185 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.8211, + "step": 3186 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6525, + "step": 3187 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.8704, + "step": 3188 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.8249, + "step": 3189 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.587, + "step": 3190 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6379, + "step": 3191 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6425, + "step": 3192 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7066, + "step": 3193 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5686, + "step": 3194 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.8519, + "step": 3195 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6205, + "step": 3196 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7232, + "step": 3197 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6922, + "step": 3198 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.8426, + "step": 3199 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6862, + "step": 3200 + }, + { + "epoch": 0.51, + "eval_loss": 0.7629965543746948, + "eval_runtime": 154.1336, + "eval_samples_per_second": 6.488, + "eval_steps_per_second": 3.244, + "step": 3200 + }, + { + "epoch": 0.51, + "mmlu_eval_accuracy": 0.5674665804683101, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.75, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.6551724137931034, + "mmlu_eval_accuracy_college_biology": 0.6875, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, + "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182, + "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.5454545454545454, + "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, + "mmlu_eval_accuracy_econometrics": 0.4166666666666667, + "mmlu_eval_accuracy_electrical_engineering": 0.4375, + "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.53125, + "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, + "mmlu_eval_accuracy_human_aging": 0.6956521739130435, + "mmlu_eval_accuracy_human_sexuality": 0.5833333333333334, + "mmlu_eval_accuracy_international_law": 0.9230769230769231, + "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7093023255813954, + "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, + "mmlu_eval_accuracy_moral_scenarios": 0.39, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.7058823529411765, + "mmlu_eval_accuracy_prehistory": 0.5714285714285714, + "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, + "mmlu_eval_accuracy_professional_law": 0.3764705882352941, + "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, + "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "mmlu_eval_accuracy_sociology": 0.9545454545454546, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 0.9711529963477162, + "step": 3200 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.9965, + "step": 3201 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7891, + "step": 3202 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6615, + "step": 3203 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7627, + "step": 3204 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7441, + "step": 3205 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.767, + "step": 3206 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5223, + "step": 3207 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.9191, + "step": 3208 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7832, + "step": 3209 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5525, + "step": 3210 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6596, + "step": 3211 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7418, + "step": 3212 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7766, + "step": 3213 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7553, + "step": 3214 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.8779, + "step": 3215 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6156, + "step": 3216 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7356, + "step": 3217 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5287, + "step": 3218 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.829, + "step": 3219 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.9044, + "step": 3220 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 1.0448, + "step": 3221 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6776, + "step": 3222 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.9609, + "step": 3223 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5319, + "step": 3224 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5432, + "step": 3225 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7769, + "step": 3226 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6744, + "step": 3227 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 1.1649, + "step": 3228 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7848, + "step": 3229 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 1.0686, + "step": 3230 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5391, + "step": 3231 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7815, + "step": 3232 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.8228, + "step": 3233 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6345, + "step": 3234 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5399, + "step": 3235 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.73, + "step": 3236 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.8413, + "step": 3237 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.9666, + "step": 3238 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5803, + "step": 3239 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7686, + "step": 3240 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.3888, + "step": 3241 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.8287, + "step": 3242 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7429, + "step": 3243 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6778, + "step": 3244 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7724, + "step": 3245 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.787, + "step": 3246 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.8083, + "step": 3247 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.4991, + "step": 3248 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.8432, + "step": 3249 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.96, + "step": 3250 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.9107, + "step": 3251 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6552, + "step": 3252 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.862, + "step": 3253 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 1.1451, + "step": 3254 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.5368, + "step": 3255 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 1.0099, + "step": 3256 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7452, + "step": 3257 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.492, + "step": 3258 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.8189, + "step": 3259 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7278, + "step": 3260 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.5625, + "step": 3261 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6884, + "step": 3262 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7123, + "step": 3263 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.5403, + "step": 3264 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6426, + "step": 3265 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.767, + "step": 3266 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.4773, + "step": 3267 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.9203, + "step": 3268 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6287, + "step": 3269 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.8633, + "step": 3270 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6269, + "step": 3271 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7794, + "step": 3272 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7715, + "step": 3273 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6585, + "step": 3274 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7115, + "step": 3275 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.9137, + "step": 3276 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.5999, + "step": 3277 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.5939, + "step": 3278 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.9334, + "step": 3279 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6509, + "step": 3280 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.9304, + "step": 3281 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.8704, + "step": 3282 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.5694, + "step": 3283 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6288, + "step": 3284 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.8801, + "step": 3285 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.9204, + "step": 3286 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.8326, + "step": 3287 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6396, + "step": 3288 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7752, + "step": 3289 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.73, + "step": 3290 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7932, + "step": 3291 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7861, + "step": 3292 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 1.0282, + "step": 3293 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7553, + "step": 3294 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7494, + "step": 3295 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.8878, + "step": 3296 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.5596, + "step": 3297 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6364, + "step": 3298 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6179, + "step": 3299 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.8688, + "step": 3300 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.9171, + "step": 3301 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.969, + "step": 3302 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.8665, + "step": 3303 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.8592, + "step": 3304 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7727, + "step": 3305 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.8782, + "step": 3306 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.8427, + "step": 3307 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.8061, + "step": 3308 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6236, + "step": 3309 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6818, + "step": 3310 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7868, + "step": 3311 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.5432, + "step": 3312 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.806, + "step": 3313 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7607, + "step": 3314 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.8288, + "step": 3315 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6879, + "step": 3316 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6363, + "step": 3317 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.8452, + "step": 3318 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.5674, + "step": 3319 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7366, + "step": 3320 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 1.0749, + "step": 3321 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.8481, + "step": 3322 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7, + "step": 3323 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 1.0873, + "step": 3324 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7615, + "step": 3325 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.8658, + "step": 3326 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.805, + "step": 3327 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.8315, + "step": 3328 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.8373, + "step": 3329 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.8182, + "step": 3330 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.8542, + "step": 3331 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7335, + "step": 3332 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 1.0739, + "step": 3333 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.5373, + "step": 3334 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.558, + "step": 3335 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6286, + "step": 3336 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.9106, + "step": 3337 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7804, + "step": 3338 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.5095, + "step": 3339 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7968, + "step": 3340 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6048, + "step": 3341 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6296, + "step": 3342 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.9085, + "step": 3343 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7986, + "step": 3344 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.5254, + "step": 3345 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.8911, + "step": 3346 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7992, + "step": 3347 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.5926, + "step": 3348 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.847, + "step": 3349 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.8094, + "step": 3350 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6126, + "step": 3351 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.8703, + "step": 3352 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.5927, + "step": 3353 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7899, + "step": 3354 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7353, + "step": 3355 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.8254, + "step": 3356 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7458, + "step": 3357 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.889, + "step": 3358 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6933, + "step": 3359 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.8476, + "step": 3360 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7241, + "step": 3361 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6909, + "step": 3362 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.8233, + "step": 3363 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.782, + "step": 3364 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7936, + "step": 3365 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7775, + "step": 3366 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.828, + "step": 3367 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.9268, + "step": 3368 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.8086, + "step": 3369 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 1.226, + "step": 3370 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7879, + "step": 3371 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6296, + "step": 3372 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6879, + "step": 3373 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.8205, + "step": 3374 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.915, + "step": 3375 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6213, + "step": 3376 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.743, + "step": 3377 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6486, + "step": 3378 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7222, + "step": 3379 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7334, + "step": 3380 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5205, + "step": 3381 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6344, + "step": 3382 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.8009, + "step": 3383 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.8008, + "step": 3384 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7096, + "step": 3385 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.8048, + "step": 3386 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5555, + "step": 3387 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7975, + "step": 3388 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5849, + "step": 3389 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7209, + "step": 3390 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.8557, + "step": 3391 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.969, + "step": 3392 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5456, + "step": 3393 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.9163, + "step": 3394 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.9597, + "step": 3395 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.8167, + "step": 3396 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7962, + "step": 3397 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 1.1326, + "step": 3398 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6932, + "step": 3399 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7431, + "step": 3400 + }, + { + "epoch": 0.54, + "eval_loss": 0.7693173885345459, + "eval_runtime": 154.1838, + "eval_samples_per_second": 6.486, + "eval_steps_per_second": 3.243, + "step": 3400 + }, + { + "epoch": 0.54, + "mmlu_eval_accuracy": 0.5591854819504855, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.75, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, + "mmlu_eval_accuracy_college_biology": 0.6875, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, + "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, + "mmlu_eval_accuracy_college_medicine": 0.5, + "mmlu_eval_accuracy_college_physics": 0.36363636363636365, + "mmlu_eval_accuracy_computer_security": 0.6363636363636364, + "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, + "mmlu_eval_accuracy_econometrics": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.2, + "mmlu_eval_accuracy_high_school_biology": 0.5, + "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.9230769230769231, + "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, + "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, + "mmlu_eval_accuracy_moral_disputes": 0.6052631578947368, + "mmlu_eval_accuracy_moral_scenarios": 0.35, + "mmlu_eval_accuracy_nutrition": 0.6060606060606061, + "mmlu_eval_accuracy_philosophy": 0.7352941176470589, + "mmlu_eval_accuracy_prehistory": 0.45714285714285713, + "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, + "mmlu_eval_accuracy_professional_law": 0.37058823529411766, + "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, + "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.8636363636363636, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.1208484717900074, + "step": 3400 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5936, + "step": 3401 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.8112, + "step": 3402 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 1.006, + "step": 3403 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7647, + "step": 3404 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5858, + "step": 3405 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.9538, + "step": 3406 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7849, + "step": 3407 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5049, + "step": 3408 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5491, + "step": 3409 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6772, + "step": 3410 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5944, + "step": 3411 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.839, + "step": 3412 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7563, + "step": 3413 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.709, + "step": 3414 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5724, + "step": 3415 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.8657, + "step": 3416 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6283, + "step": 3417 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7797, + "step": 3418 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.8784, + "step": 3419 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5695, + "step": 3420 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6049, + "step": 3421 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 1.0167, + "step": 3422 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7472, + "step": 3423 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.8569, + "step": 3424 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6569, + "step": 3425 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5842, + "step": 3426 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.713, + "step": 3427 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5589, + "step": 3428 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5503, + "step": 3429 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6668, + "step": 3430 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5894, + "step": 3431 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5024, + "step": 3432 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.9239, + "step": 3433 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.8609, + "step": 3434 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.8058, + "step": 3435 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6679, + "step": 3436 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7468, + "step": 3437 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.636, + "step": 3438 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7306, + "step": 3439 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.7148, + "step": 3440 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6045, + "step": 3441 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.9485, + "step": 3442 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.7391, + "step": 3443 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.9582, + "step": 3444 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6511, + "step": 3445 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6499, + "step": 3446 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.9401, + "step": 3447 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 1.0428, + "step": 3448 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6894, + "step": 3449 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.8947, + "step": 3450 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.7128, + "step": 3451 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.8007, + "step": 3452 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.4826, + "step": 3453 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.847, + "step": 3454 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.7362, + "step": 3455 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.8409, + "step": 3456 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.7194, + "step": 3457 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.942, + "step": 3458 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.5725, + "step": 3459 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6538, + "step": 3460 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.8084, + "step": 3461 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.9809, + "step": 3462 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6417, + "step": 3463 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6087, + "step": 3464 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.7602, + "step": 3465 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.653, + "step": 3466 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.7839, + "step": 3467 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6554, + "step": 3468 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.5536, + "step": 3469 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.9483, + "step": 3470 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.9077, + "step": 3471 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.5816, + "step": 3472 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.893, + "step": 3473 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.8234, + "step": 3474 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.7318, + "step": 3475 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.843, + "step": 3476 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.5449, + "step": 3477 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.7971, + "step": 3478 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.9811, + "step": 3479 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.9015, + "step": 3480 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6541, + "step": 3481 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.8769, + "step": 3482 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6927, + "step": 3483 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.5391, + "step": 3484 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.8933, + "step": 3485 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6944, + "step": 3486 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.7357, + "step": 3487 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6049, + "step": 3488 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.668, + "step": 3489 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.5514, + "step": 3490 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6125, + "step": 3491 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.7189, + "step": 3492 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6608, + "step": 3493 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6759, + "step": 3494 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6133, + "step": 3495 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.5752, + "step": 3496 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.7233, + "step": 3497 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.8079, + "step": 3498 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.8869, + "step": 3499 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.9809, + "step": 3500 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6273, + "step": 3501 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.8444, + "step": 3502 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.889, + "step": 3503 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6555, + "step": 3504 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.5662, + "step": 3505 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.8314, + "step": 3506 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6842, + "step": 3507 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.5119, + "step": 3508 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.553, + "step": 3509 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.7699, + "step": 3510 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.7655, + "step": 3511 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6304, + "step": 3512 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.7198, + "step": 3513 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 1.0046, + "step": 3514 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.7464, + "step": 3515 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.9635, + "step": 3516 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.9452, + "step": 3517 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.9524, + "step": 3518 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.9687, + "step": 3519 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.9667, + "step": 3520 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.8401, + "step": 3521 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.8136, + "step": 3522 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.5333, + "step": 3523 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.8676, + "step": 3524 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.842, + "step": 3525 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.9438, + "step": 3526 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.7448, + "step": 3527 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.5666, + "step": 3528 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.7605, + "step": 3529 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.71, + "step": 3530 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 1.1086, + "step": 3531 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.7061, + "step": 3532 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.7544, + "step": 3533 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.8561, + "step": 3534 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.824, + "step": 3535 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 1.0826, + "step": 3536 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6518, + "step": 3537 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.8714, + "step": 3538 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6964, + "step": 3539 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.5532, + "step": 3540 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.7787, + "step": 3541 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.9593, + "step": 3542 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6892, + "step": 3543 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.7249, + "step": 3544 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6268, + "step": 3545 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.84, + "step": 3546 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.9913, + "step": 3547 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6102, + "step": 3548 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.9939, + "step": 3549 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6373, + "step": 3550 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.795, + "step": 3551 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6674, + "step": 3552 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 1.0572, + "step": 3553 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.7928, + "step": 3554 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.7366, + "step": 3555 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.9492, + "step": 3556 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.8566, + "step": 3557 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6084, + "step": 3558 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.4903, + "step": 3559 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.9961, + "step": 3560 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.9803, + "step": 3561 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.8271, + "step": 3562 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.771, + "step": 3563 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.659, + "step": 3564 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.966, + "step": 3565 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.8649, + "step": 3566 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.826, + "step": 3567 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6576, + "step": 3568 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6088, + "step": 3569 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.7594, + "step": 3570 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6418, + "step": 3571 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.7391, + "step": 3572 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.5146, + "step": 3573 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.5607, + "step": 3574 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.9148, + "step": 3575 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6127, + "step": 3576 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6672, + "step": 3577 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.8704, + "step": 3578 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.8988, + "step": 3579 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.8158, + "step": 3580 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6976, + "step": 3581 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 1.0503, + "step": 3582 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.8942, + "step": 3583 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6973, + "step": 3584 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.8095, + "step": 3585 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 1.0496, + "step": 3586 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.7478, + "step": 3587 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.8215, + "step": 3588 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.5619, + "step": 3589 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.7659, + "step": 3590 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.7355, + "step": 3591 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.712, + "step": 3592 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 1.0221, + "step": 3593 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.7353, + "step": 3594 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6497, + "step": 3595 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6918, + "step": 3596 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.8294, + "step": 3597 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6472, + "step": 3598 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6602, + "step": 3599 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.731, + "step": 3600 + }, + { + "epoch": 0.57, + "eval_loss": 0.7654332518577576, + "eval_runtime": 154.1331, + "eval_samples_per_second": 6.488, + "eval_steps_per_second": 3.244, + "step": 3600 + }, + { + "epoch": 0.57, + "mmlu_eval_accuracy": 0.5533494883134352, + "mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.75, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, + "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, + "mmlu_eval_accuracy_college_medicine": 0.4090909090909091, + "mmlu_eval_accuracy_college_physics": 0.36363636363636365, + "mmlu_eval_accuracy_computer_security": 0.45454545454545453, + "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, + "mmlu_eval_accuracy_econometrics": 0.4166666666666667, + "mmlu_eval_accuracy_electrical_engineering": 0.25, + "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.40625, + "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.85, + "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.9230769230769231, + "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.7272727272727273, + "mmlu_eval_accuracy_marketing": 0.92, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.3, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.7058823529411765, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, + "mmlu_eval_accuracy_professional_law": 0.3764705882352941, + "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, + "mmlu_eval_accuracy_professional_psychology": 0.6376811594202898, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.8181818181818182, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.6111111111111112, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.0196747940529731, + "step": 3600 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6293, + "step": 3601 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.4382, + "step": 3602 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.7356, + "step": 3603 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6447, + "step": 3604 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 1.0294, + "step": 3605 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.5372, + "step": 3606 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6975, + "step": 3607 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.49, + "step": 3608 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.772, + "step": 3609 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6301, + "step": 3610 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6382, + "step": 3611 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.8239, + "step": 3612 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.7951, + "step": 3613 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.7314, + "step": 3614 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.9919, + "step": 3615 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.614, + "step": 3616 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.8734, + "step": 3617 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.8846, + "step": 3618 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.8445, + "step": 3619 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.7016, + "step": 3620 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.8068, + "step": 3621 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.5506, + "step": 3622 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.5841, + "step": 3623 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.374, + "step": 3624 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.696, + "step": 3625 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.719, + "step": 3626 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.581, + "step": 3627 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 1.0123, + "step": 3628 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.8242, + "step": 3629 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.9788, + "step": 3630 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.9806, + "step": 3631 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7796, + "step": 3632 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6051, + "step": 3633 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7481, + "step": 3634 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7201, + "step": 3635 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.5482, + "step": 3636 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 1.0509, + "step": 3637 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.812, + "step": 3638 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.8764, + "step": 3639 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.8913, + "step": 3640 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.5558, + "step": 3641 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.811, + "step": 3642 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7809, + "step": 3643 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6152, + "step": 3644 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7649, + "step": 3645 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.8361, + "step": 3646 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.8348, + "step": 3647 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.771, + "step": 3648 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.8711, + "step": 3649 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.8711, + "step": 3650 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 1.0426, + "step": 3651 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7434, + "step": 3652 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7935, + "step": 3653 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.5169, + "step": 3654 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.5407, + "step": 3655 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 1.0679, + "step": 3656 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6985, + "step": 3657 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.4916, + "step": 3658 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6572, + "step": 3659 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.829, + "step": 3660 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.679, + "step": 3661 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7637, + "step": 3662 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.67, + "step": 3663 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6791, + "step": 3664 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.8432, + "step": 3665 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7153, + "step": 3666 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.8875, + "step": 3667 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 1.0827, + "step": 3668 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6006, + "step": 3669 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7406, + "step": 3670 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.9003, + "step": 3671 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.8435, + "step": 3672 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6841, + "step": 3673 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7, + "step": 3674 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6545, + "step": 3675 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.8708, + "step": 3676 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.8325, + "step": 3677 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.5939, + "step": 3678 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6421, + "step": 3679 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7135, + "step": 3680 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.727, + "step": 3681 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.554, + "step": 3682 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7913, + "step": 3683 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6096, + "step": 3684 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6482, + "step": 3685 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.9025, + "step": 3686 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.8185, + "step": 3687 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.8182, + "step": 3688 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7976, + "step": 3689 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7168, + "step": 3690 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.9399, + "step": 3691 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.8258, + "step": 3692 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 1.0048, + "step": 3693 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.5614, + "step": 3694 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.8837, + "step": 3695 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.9782, + "step": 3696 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.5366, + "step": 3697 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6819, + "step": 3698 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6004, + "step": 3699 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7596, + "step": 3700 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.4613, + "step": 3701 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.5727, + "step": 3702 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7332, + "step": 3703 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.9625, + "step": 3704 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 1.1872, + "step": 3705 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 1.0825, + "step": 3706 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.8949, + "step": 3707 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.8708, + "step": 3708 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7064, + "step": 3709 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.8402, + "step": 3710 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 1.0206, + "step": 3711 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7582, + "step": 3712 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7121, + "step": 3713 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6556, + "step": 3714 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 1.0598, + "step": 3715 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.714, + "step": 3716 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7697, + "step": 3717 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.9521, + "step": 3718 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7954, + "step": 3719 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.85, + "step": 3720 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.688, + "step": 3721 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.9445, + "step": 3722 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6096, + "step": 3723 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7993, + "step": 3724 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.8074, + "step": 3725 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.8305, + "step": 3726 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.4807, + "step": 3727 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.8602, + "step": 3728 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 1.0976, + "step": 3729 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7848, + "step": 3730 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7909, + "step": 3731 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.4969, + "step": 3732 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6509, + "step": 3733 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7907, + "step": 3734 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 1.012, + "step": 3735 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.418, + "step": 3736 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7146, + "step": 3737 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 1.0301, + "step": 3738 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.63, + "step": 3739 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.8619, + "step": 3740 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7101, + "step": 3741 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.8459, + "step": 3742 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7659, + "step": 3743 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.8529, + "step": 3744 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.9159, + "step": 3745 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6633, + "step": 3746 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6266, + "step": 3747 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 1.0728, + "step": 3748 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 1.0219, + "step": 3749 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.9206, + "step": 3750 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6042, + "step": 3751 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.8529, + "step": 3752 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.4457, + "step": 3753 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7392, + "step": 3754 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6578, + "step": 3755 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7987, + "step": 3756 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7484, + "step": 3757 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7195, + "step": 3758 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6079, + "step": 3759 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.561, + "step": 3760 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.8586, + "step": 3761 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7955, + "step": 3762 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.5823, + "step": 3763 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7652, + "step": 3764 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.5626, + "step": 3765 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6525, + "step": 3766 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.9038, + "step": 3767 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.8453, + "step": 3768 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.8163, + "step": 3769 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7076, + "step": 3770 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.8407, + "step": 3771 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 1.0822, + "step": 3772 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6296, + "step": 3773 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.9061, + "step": 3774 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.9658, + "step": 3775 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7904, + "step": 3776 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7753, + "step": 3777 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.8465, + "step": 3778 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.8378, + "step": 3779 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.8044, + "step": 3780 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 1.1801, + "step": 3781 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.5678, + "step": 3782 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6195, + "step": 3783 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 1.0914, + "step": 3784 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.747, + "step": 3785 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6799, + "step": 3786 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6957, + "step": 3787 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7777, + "step": 3788 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7962, + "step": 3789 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.8633, + "step": 3790 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.5911, + "step": 3791 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7495, + "step": 3792 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.5038, + "step": 3793 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7849, + "step": 3794 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6109, + "step": 3795 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.8594, + "step": 3796 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6996, + "step": 3797 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.9002, + "step": 3798 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.9028, + "step": 3799 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.5109, + "step": 3800 + }, + { + "epoch": 0.6, + "eval_loss": 0.7696056365966797, + "eval_runtime": 154.1213, + "eval_samples_per_second": 6.488, + "eval_steps_per_second": 3.244, + "step": 3800 + }, + { + "epoch": 0.6, + "mmlu_eval_accuracy": 0.5514883864120417, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.75, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, + "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, + "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.6363636363636364, + "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, + "mmlu_eval_accuracy_econometrics": 0.4166666666666667, + "mmlu_eval_accuracy_electrical_engineering": 0.3125, + "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.53125, + "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, + "mmlu_eval_accuracy_international_law": 0.8461538461538461, + "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.8, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, + "mmlu_eval_accuracy_moral_disputes": 0.631578947368421, + "mmlu_eval_accuracy_moral_scenarios": 0.35, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.7058823529411765, + "mmlu_eval_accuracy_prehistory": 0.6857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, + "mmlu_eval_accuracy_professional_law": 0.34705882352941175, + "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, + "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "mmlu_eval_accuracy_sociology": 0.8636363636363636, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.6111111111111112, + "mmlu_eval_accuracy_world_religions": 0.631578947368421, + "mmlu_loss": 0.8670628694890373, + "step": 3800 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.8851, + "step": 3801 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.9515, + "step": 3802 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6575, + "step": 3803 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.9437, + "step": 3804 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.9542, + "step": 3805 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 1.2086, + "step": 3806 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.702, + "step": 3807 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.87, + "step": 3808 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6871, + "step": 3809 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.8122, + "step": 3810 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6599, + "step": 3811 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.924, + "step": 3812 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7284, + "step": 3813 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6559, + "step": 3814 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7678, + "step": 3815 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.9141, + "step": 3816 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6756, + "step": 3817 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6722, + "step": 3818 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7322, + "step": 3819 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.9088, + "step": 3820 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.5408, + "step": 3821 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.9915, + "step": 3822 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.736, + "step": 3823 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.5227, + "step": 3824 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6167, + "step": 3825 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.687, + "step": 3826 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7745, + "step": 3827 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 1.269, + "step": 3828 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.8933, + "step": 3829 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.4234, + "step": 3830 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.8429, + "step": 3831 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6473, + "step": 3832 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.8687, + "step": 3833 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7479, + "step": 3834 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7643, + "step": 3835 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7707, + "step": 3836 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.8325, + "step": 3837 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 1.1443, + "step": 3838 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.5714, + "step": 3839 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7227, + "step": 3840 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7107, + "step": 3841 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.633, + "step": 3842 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 1.0556, + "step": 3843 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.5244, + "step": 3844 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7829, + "step": 3845 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7978, + "step": 3846 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.8167, + "step": 3847 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.9815, + "step": 3848 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7793, + "step": 3849 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6866, + "step": 3850 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.5988, + "step": 3851 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6577, + "step": 3852 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7923, + "step": 3853 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 1.029, + "step": 3854 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6062, + "step": 3855 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6887, + "step": 3856 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.8, + "step": 3857 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.837, + "step": 3858 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.8397, + "step": 3859 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 1.4061, + "step": 3860 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7355, + "step": 3861 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6902, + "step": 3862 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.8332, + "step": 3863 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7228, + "step": 3864 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.5378, + "step": 3865 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 1.0117, + "step": 3866 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.8054, + "step": 3867 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.8705, + "step": 3868 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.9453, + "step": 3869 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7509, + "step": 3870 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6157, + "step": 3871 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.9089, + "step": 3872 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.5892, + "step": 3873 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7669, + "step": 3874 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.719, + "step": 3875 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.8679, + "step": 3876 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.8377, + "step": 3877 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.3834, + "step": 3878 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 1.0132, + "step": 3879 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7544, + "step": 3880 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.8236, + "step": 3881 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7741, + "step": 3882 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6246, + "step": 3883 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6124, + "step": 3884 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.8275, + "step": 3885 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.5953, + "step": 3886 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 1.1573, + "step": 3887 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.91, + "step": 3888 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6285, + "step": 3889 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7264, + "step": 3890 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.8646, + "step": 3891 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7246, + "step": 3892 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.9141, + "step": 3893 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.926, + "step": 3894 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.8824, + "step": 3895 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.8406, + "step": 3896 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7004, + "step": 3897 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7842, + "step": 3898 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.773, + "step": 3899 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.719, + "step": 3900 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.9221, + "step": 3901 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.8978, + "step": 3902 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.8397, + "step": 3903 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7978, + "step": 3904 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7561, + "step": 3905 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7196, + "step": 3906 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7861, + "step": 3907 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 1.081, + "step": 3908 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7792, + "step": 3909 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.4474, + "step": 3910 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7379, + "step": 3911 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7547, + "step": 3912 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7639, + "step": 3913 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.878, + "step": 3914 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.8457, + "step": 3915 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 1.2182, + "step": 3916 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.8513, + "step": 3917 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.938, + "step": 3918 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.4259, + "step": 3919 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7627, + "step": 3920 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6513, + "step": 3921 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.8617, + "step": 3922 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.8494, + "step": 3923 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6646, + "step": 3924 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.9247, + "step": 3925 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7675, + "step": 3926 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.9738, + "step": 3927 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.9275, + "step": 3928 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.5124, + "step": 3929 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7209, + "step": 3930 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.4095, + "step": 3931 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.8867, + "step": 3932 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.945, + "step": 3933 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 1.0209, + "step": 3934 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7315, + "step": 3935 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6794, + "step": 3936 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7865, + "step": 3937 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7897, + "step": 3938 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.8228, + "step": 3939 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.8581, + "step": 3940 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.715, + "step": 3941 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6144, + "step": 3942 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6288, + "step": 3943 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7464, + "step": 3944 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6006, + "step": 3945 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.8772, + "step": 3946 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.9723, + "step": 3947 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6723, + "step": 3948 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.8962, + "step": 3949 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.814, + "step": 3950 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6111, + "step": 3951 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6107, + "step": 3952 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.9941, + "step": 3953 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.7744, + "step": 3954 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.7665, + "step": 3955 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.815, + "step": 3956 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.8356, + "step": 3957 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6453, + "step": 3958 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.8203, + "step": 3959 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.9138, + "step": 3960 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.866, + "step": 3961 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.9321, + "step": 3962 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.7371, + "step": 3963 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.9473, + "step": 3964 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.5952, + "step": 3965 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 1.0103, + "step": 3966 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 1.021, + "step": 3967 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6668, + "step": 3968 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.7974, + "step": 3969 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.8033, + "step": 3970 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.7349, + "step": 3971 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.7806, + "step": 3972 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 1.0958, + "step": 3973 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 1.1016, + "step": 3974 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.9033, + "step": 3975 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.7186, + "step": 3976 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.5754, + "step": 3977 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6235, + "step": 3978 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.7285, + "step": 3979 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.7082, + "step": 3980 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.8063, + "step": 3981 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.8189, + "step": 3982 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6665, + "step": 3983 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.9262, + "step": 3984 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.795, + "step": 3985 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.9939, + "step": 3986 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.5958, + "step": 3987 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.7382, + "step": 3988 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6486, + "step": 3989 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.4527, + "step": 3990 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.622, + "step": 3991 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.8086, + "step": 3992 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.9413, + "step": 3993 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.7444, + "step": 3994 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6422, + "step": 3995 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 1.0646, + "step": 3996 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.8311, + "step": 3997 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.8007, + "step": 3998 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6664, + "step": 3999 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6447, + "step": 4000 + }, + { + "epoch": 0.63, + "eval_loss": 0.7693718671798706, + "eval_runtime": 154.1773, + "eval_samples_per_second": 6.486, + "eval_steps_per_second": 3.243, + "step": 4000 + }, + { + "epoch": 0.63, + "mmlu_eval_accuracy": 0.5352350931638579, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.625, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.125, + "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, + "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182, + "mmlu_eval_accuracy_college_medicine": 0.3181818181818182, + "mmlu_eval_accuracy_college_physics": 0.36363636363636365, + "mmlu_eval_accuracy_computer_security": 0.7272727272727273, + "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, + "mmlu_eval_accuracy_econometrics": 0.25, + "mmlu_eval_accuracy_electrical_engineering": 0.3125, + "mmlu_eval_accuracy_elementary_mathematics": 0.4878048780487805, + "mmlu_eval_accuracy_formal_logic": 0.35714285714285715, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.53125, + "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, + "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, + "mmlu_eval_accuracy_high_school_psychology": 0.8, + "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, + "mmlu_eval_accuracy_international_law": 0.9230769230769231, + "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.6363636363636364, + "mmlu_eval_accuracy_management": 0.7272727272727273, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, + "mmlu_eval_accuracy_miscellaneous": 0.7093023255813954, + "mmlu_eval_accuracy_moral_disputes": 0.6052631578947368, + "mmlu_eval_accuracy_moral_scenarios": 0.39, + "mmlu_eval_accuracy_nutrition": 0.7272727272727273, + "mmlu_eval_accuracy_philosophy": 0.7058823529411765, + "mmlu_eval_accuracy_prehistory": 0.5142857142857142, + "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, + "mmlu_eval_accuracy_professional_law": 0.36470588235294116, + "mmlu_eval_accuracy_professional_medicine": 0.4838709677419355, + "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.7727272727272727, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.6842105263157895, + "mmlu_loss": 0.9810659980338173, + "step": 4000 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.83, + "step": 4001 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.646, + "step": 4002 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.8556, + "step": 4003 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.7019, + "step": 4004 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.79, + "step": 4005 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6864, + "step": 4006 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6132, + "step": 4007 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.5654, + "step": 4008 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.903, + "step": 4009 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6363, + "step": 4010 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.9764, + "step": 4011 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7711, + "step": 4012 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6976, + "step": 4013 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.9393, + "step": 4014 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.9601, + "step": 4015 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.8749, + "step": 4016 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 1.0163, + "step": 4017 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.8221, + "step": 4018 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7563, + "step": 4019 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6577, + "step": 4020 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6928, + "step": 4021 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6217, + "step": 4022 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7891, + "step": 4023 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.8948, + "step": 4024 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.691, + "step": 4025 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7859, + "step": 4026 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6814, + "step": 4027 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.609, + "step": 4028 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6803, + "step": 4029 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.5843, + "step": 4030 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.9217, + "step": 4031 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6117, + "step": 4032 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6358, + "step": 4033 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 1.0148, + "step": 4034 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.9618, + "step": 4035 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.8969, + "step": 4036 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7704, + "step": 4037 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7408, + "step": 4038 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.8289, + "step": 4039 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.4738, + "step": 4040 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7871, + "step": 4041 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.8895, + "step": 4042 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.8298, + "step": 4043 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 1.0451, + "step": 4044 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.818, + "step": 4045 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6671, + "step": 4046 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.8674, + "step": 4047 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 1.035, + "step": 4048 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.8155, + "step": 4049 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 1.0994, + "step": 4050 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6883, + "step": 4051 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.8556, + "step": 4052 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.49, + "step": 4053 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6584, + "step": 4054 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7535, + "step": 4055 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.8914, + "step": 4056 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.8945, + "step": 4057 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7041, + "step": 4058 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7715, + "step": 4059 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7109, + "step": 4060 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.8296, + "step": 4061 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6581, + "step": 4062 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7804, + "step": 4063 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.8354, + "step": 4064 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7937, + "step": 4065 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 1.0145, + "step": 4066 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.9111, + "step": 4067 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.5688, + "step": 4068 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6854, + "step": 4069 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.779, + "step": 4070 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.5872, + "step": 4071 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.5545, + "step": 4072 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.4546, + "step": 4073 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.5832, + "step": 4074 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.8125, + "step": 4075 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.8927, + "step": 4076 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.5784, + "step": 4077 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.7989, + "step": 4078 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.4973, + "step": 4079 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.7054, + "step": 4080 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.4774, + "step": 4081 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6539, + "step": 4082 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.829, + "step": 4083 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.9191, + "step": 4084 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.9749, + "step": 4085 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.5381, + "step": 4086 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.9056, + "step": 4087 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.9909, + "step": 4088 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.9174, + "step": 4089 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.8528, + "step": 4090 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6731, + "step": 4091 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.7239, + "step": 4092 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.9706, + "step": 4093 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6056, + "step": 4094 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.8642, + "step": 4095 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.576, + "step": 4096 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.8553, + "step": 4097 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6823, + "step": 4098 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6686, + "step": 4099 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.7582, + "step": 4100 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.8465, + "step": 4101 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.9126, + "step": 4102 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.7632, + "step": 4103 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.9982, + "step": 4104 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.75, + "step": 4105 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.9311, + "step": 4106 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6762, + "step": 4107 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.7119, + "step": 4108 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.7229, + "step": 4109 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.892, + "step": 4110 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6897, + "step": 4111 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.8789, + "step": 4112 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.767, + "step": 4113 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.9053, + "step": 4114 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.5528, + "step": 4115 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.8179, + "step": 4116 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.7357, + "step": 4117 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.4945, + "step": 4118 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.8812, + "step": 4119 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.658, + "step": 4120 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.9531, + "step": 4121 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6913, + "step": 4122 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.5328, + "step": 4123 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6718, + "step": 4124 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.8219, + "step": 4125 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.7203, + "step": 4126 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6444, + "step": 4127 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6114, + "step": 4128 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.683, + "step": 4129 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 1.058, + "step": 4130 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.9971, + "step": 4131 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.5533, + "step": 4132 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6715, + "step": 4133 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.459, + "step": 4134 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7275, + "step": 4135 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7578, + "step": 4136 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.5548, + "step": 4137 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.8627, + "step": 4138 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.9012, + "step": 4139 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.8956, + "step": 4140 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.8071, + "step": 4141 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.8827, + "step": 4142 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7838, + "step": 4143 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.9743, + "step": 4144 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7614, + "step": 4145 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.8144, + "step": 4146 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6915, + "step": 4147 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.8318, + "step": 4148 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.9707, + "step": 4149 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.8841, + "step": 4150 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7983, + "step": 4151 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7363, + "step": 4152 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6542, + "step": 4153 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 1.0731, + "step": 4154 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.947, + "step": 4155 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7051, + "step": 4156 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7008, + "step": 4157 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.8414, + "step": 4158 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.9607, + "step": 4159 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 1.0139, + "step": 4160 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6777, + "step": 4161 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7708, + "step": 4162 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7571, + "step": 4163 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.8828, + "step": 4164 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7345, + "step": 4165 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.9221, + "step": 4166 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7503, + "step": 4167 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7451, + "step": 4168 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 1.0126, + "step": 4169 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7803, + "step": 4170 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7694, + "step": 4171 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6501, + "step": 4172 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6345, + "step": 4173 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.9451, + "step": 4174 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.8389, + "step": 4175 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.5134, + "step": 4176 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7422, + "step": 4177 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6799, + "step": 4178 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7718, + "step": 4179 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.9758, + "step": 4180 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.617, + "step": 4181 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7895, + "step": 4182 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.5929, + "step": 4183 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.5436, + "step": 4184 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.9379, + "step": 4185 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.623, + "step": 4186 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6141, + "step": 4187 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.755, + "step": 4188 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7716, + "step": 4189 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6172, + "step": 4190 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6588, + "step": 4191 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.71, + "step": 4192 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.8218, + "step": 4193 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.8421, + "step": 4194 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6327, + "step": 4195 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 1.045, + "step": 4196 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7564, + "step": 4197 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.6338, + "step": 4198 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7238, + "step": 4199 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.6519, + "step": 4200 + }, + { + "epoch": 0.67, + "eval_loss": 0.7681539058685303, + "eval_runtime": 154.1419, + "eval_samples_per_second": 6.488, + "eval_steps_per_second": 3.244, + "step": 4200 + }, + { + "epoch": 0.67, + "mmlu_eval_accuracy": 0.5362484905531941, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, + "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, + "mmlu_eval_accuracy_college_medicine": 0.4090909090909091, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.2727272727272727, + "mmlu_eval_accuracy_conceptual_physics": 0.5769230769230769, + "mmlu_eval_accuracy_econometrics": 0.16666666666666666, + "mmlu_eval_accuracy_electrical_engineering": 0.3125, + "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, + "mmlu_eval_accuracy_formal_logic": 0.35714285714285715, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.5, + "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, + "mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, + "mmlu_eval_accuracy_international_law": 0.8461538461538461, + "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.6363636363636364, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395, + "mmlu_eval_accuracy_moral_disputes": 0.47368421052631576, + "mmlu_eval_accuracy_moral_scenarios": 0.29, + "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_philosophy": 0.5882352941176471, + "mmlu_eval_accuracy_prehistory": 0.6571428571428571, + "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, + "mmlu_eval_accuracy_professional_law": 0.3764705882352941, + "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, + "mmlu_eval_accuracy_professional_psychology": 0.5652173913043478, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.6296296296296297, + "mmlu_eval_accuracy_sociology": 0.8181818181818182, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.6842105263157895, + "mmlu_loss": 0.8034894238603022, + "step": 4200 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.5664, + "step": 4201 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.706, + "step": 4202 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.909, + "step": 4203 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.8215, + "step": 4204 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7466, + "step": 4205 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.9569, + "step": 4206 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 1.0287, + "step": 4207 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.6858, + "step": 4208 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7689, + "step": 4209 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.5965, + "step": 4210 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.8134, + "step": 4211 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.5512, + "step": 4212 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.9992, + "step": 4213 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7826, + "step": 4214 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.811, + "step": 4215 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.8978, + "step": 4216 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.5939, + "step": 4217 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.9346, + "step": 4218 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7472, + "step": 4219 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.8946, + "step": 4220 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.9446, + "step": 4221 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.9336, + "step": 4222 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.4956, + "step": 4223 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.8148, + "step": 4224 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.5738, + "step": 4225 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 1.2035, + "step": 4226 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.8675, + "step": 4227 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.5263, + "step": 4228 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7331, + "step": 4229 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.5944, + "step": 4230 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.8384, + "step": 4231 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.836, + "step": 4232 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7729, + "step": 4233 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.9745, + "step": 4234 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.8348, + "step": 4235 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.828, + "step": 4236 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.8132, + "step": 4237 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7758, + "step": 4238 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7062, + "step": 4239 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 1.0183, + "step": 4240 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.8024, + "step": 4241 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.5041, + "step": 4242 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7789, + "step": 4243 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.8022, + "step": 4244 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.8445, + "step": 4245 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7187, + "step": 4246 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.372, + "step": 4247 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7539, + "step": 4248 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.6208, + "step": 4249 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.9115, + "step": 4250 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.757, + "step": 4251 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.769, + "step": 4252 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 1.0506, + "step": 4253 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.6255, + "step": 4254 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.6977, + "step": 4255 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.6686, + "step": 4256 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.8357, + "step": 4257 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7491, + "step": 4258 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7791, + "step": 4259 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.5342, + "step": 4260 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.8766, + "step": 4261 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.695, + "step": 4262 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 1.1, + "step": 4263 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.9046, + "step": 4264 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7904, + "step": 4265 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7726, + "step": 4266 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.5678, + "step": 4267 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6733, + "step": 4268 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6045, + "step": 4269 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6718, + "step": 4270 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6562, + "step": 4271 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.8118, + "step": 4272 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6039, + "step": 4273 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7273, + "step": 4274 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.8512, + "step": 4275 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7537, + "step": 4276 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.916, + "step": 4277 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 1.0, + "step": 4278 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.8219, + "step": 4279 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.5995, + "step": 4280 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.9153, + "step": 4281 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.702, + "step": 4282 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 1.0216, + "step": 4283 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.8634, + "step": 4284 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.8439, + "step": 4285 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.591, + "step": 4286 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6663, + "step": 4287 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.8444, + "step": 4288 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.969, + "step": 4289 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.8657, + "step": 4290 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6404, + "step": 4291 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 1.1196, + "step": 4292 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.4369, + "step": 4293 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6568, + "step": 4294 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7181, + "step": 4295 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7161, + "step": 4296 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.5839, + "step": 4297 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.8076, + "step": 4298 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6063, + "step": 4299 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.8812, + "step": 4300 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.9637, + "step": 4301 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.5848, + "step": 4302 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7803, + "step": 4303 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.8181, + "step": 4304 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6927, + "step": 4305 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.9167, + "step": 4306 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 1.0431, + "step": 4307 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.547, + "step": 4308 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.9116, + "step": 4309 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.9261, + "step": 4310 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 1.0043, + "step": 4311 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 1.2658, + "step": 4312 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6754, + "step": 4313 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.8721, + "step": 4314 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6431, + "step": 4315 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7233, + "step": 4316 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7794, + "step": 4317 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7505, + "step": 4318 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.5333, + "step": 4319 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7258, + "step": 4320 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.627, + "step": 4321 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.4465, + "step": 4322 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.5425, + "step": 4323 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.9315, + "step": 4324 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7788, + "step": 4325 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.8626, + "step": 4326 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6909, + "step": 4327 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6378, + "step": 4328 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7108, + "step": 4329 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.752, + "step": 4330 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 1.1632, + "step": 4331 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.904, + "step": 4332 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7099, + "step": 4333 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.8064, + "step": 4334 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6064, + "step": 4335 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6572, + "step": 4336 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7325, + "step": 4337 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7665, + "step": 4338 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7362, + "step": 4339 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7115, + "step": 4340 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6234, + "step": 4341 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.8097, + "step": 4342 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.8038, + "step": 4343 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.8951, + "step": 4344 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.789, + "step": 4345 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6032, + "step": 4346 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6722, + "step": 4347 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.5042, + "step": 4348 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.8229, + "step": 4349 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.8996, + "step": 4350 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 1.0953, + "step": 4351 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.8071, + "step": 4352 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6477, + "step": 4353 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6749, + "step": 4354 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 1.004, + "step": 4355 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.5901, + "step": 4356 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 1.1029, + "step": 4357 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7556, + "step": 4358 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7042, + "step": 4359 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6421, + "step": 4360 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.589, + "step": 4361 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.4507, + "step": 4362 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.5218, + "step": 4363 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.8155, + "step": 4364 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.5451, + "step": 4365 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7041, + "step": 4366 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7879, + "step": 4367 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6592, + "step": 4368 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6237, + "step": 4369 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6552, + "step": 4370 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.8478, + "step": 4371 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.612, + "step": 4372 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6534, + "step": 4373 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7079, + "step": 4374 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.5185, + "step": 4375 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6881, + "step": 4376 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 1.0766, + "step": 4377 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.893, + "step": 4378 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.8202, + "step": 4379 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.8403, + "step": 4380 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.791, + "step": 4381 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7605, + "step": 4382 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.9236, + "step": 4383 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7841, + "step": 4384 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7231, + "step": 4385 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.5193, + "step": 4386 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.7209, + "step": 4387 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.8548, + "step": 4388 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.5277, + "step": 4389 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6109, + "step": 4390 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.963, + "step": 4391 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.3704, + "step": 4392 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.7097, + "step": 4393 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.9492, + "step": 4394 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.9283, + "step": 4395 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 1.0428, + "step": 4396 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.7336, + "step": 4397 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.7796, + "step": 4398 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.5494, + "step": 4399 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.9947, + "step": 4400 + }, + { + "epoch": 0.7, + "eval_loss": 0.771570086479187, + "eval_runtime": 154.2077, + "eval_samples_per_second": 6.485, + "eval_steps_per_second": 3.242, + "step": 4400 + }, + { + "epoch": 0.7, + "mmlu_eval_accuracy": 0.5080295972071535, + "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.5, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, + "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, + "mmlu_eval_accuracy_college_medicine": 0.4090909090909091, + "mmlu_eval_accuracy_college_physics": 0.36363636363636365, + "mmlu_eval_accuracy_computer_security": 0.5454545454545454, + "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, + "mmlu_eval_accuracy_econometrics": 0.3333333333333333, + "mmlu_eval_accuracy_electrical_engineering": 0.5, + "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, + "mmlu_eval_accuracy_formal_logic": 0.35714285714285715, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.4375, + "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.4186046511627907, + "mmlu_eval_accuracy_high_school_mathematics": 0.4482758620689655, + "mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464, + "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, + "mmlu_eval_accuracy_high_school_psychology": 0.7333333333333333, + "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, + "mmlu_eval_accuracy_human_aging": 0.8260869565217391, + "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, + "mmlu_eval_accuracy_international_law": 0.5384615384615384, + "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, + "mmlu_eval_accuracy_management": 0.6363636363636364, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, + "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, + "mmlu_eval_accuracy_moral_disputes": 0.5, + "mmlu_eval_accuracy_moral_scenarios": 0.27, + "mmlu_eval_accuracy_nutrition": 0.48484848484848486, + "mmlu_eval_accuracy_philosophy": 0.5294117647058824, + "mmlu_eval_accuracy_prehistory": 0.42857142857142855, + "mmlu_eval_accuracy_professional_accounting": 0.45161290322580644, + "mmlu_eval_accuracy_professional_law": 0.3176470588235294, + "mmlu_eval_accuracy_professional_medicine": 0.4838709677419355, + "mmlu_eval_accuracy_professional_psychology": 0.4927536231884058, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5185185185185185, + "mmlu_eval_accuracy_sociology": 0.6818181818181818, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.019916907225203, + "step": 4400 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.9024, + "step": 4401 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.7074, + "step": 4402 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6655, + "step": 4403 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.8876, + "step": 4404 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 1.0045, + "step": 4405 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6219, + "step": 4406 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.666, + "step": 4407 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6973, + "step": 4408 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.7321, + "step": 4409 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 1.0617, + "step": 4410 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.8559, + "step": 4411 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.7094, + "step": 4412 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.7057, + "step": 4413 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.8787, + "step": 4414 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6037, + "step": 4415 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6609, + "step": 4416 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.9022, + "step": 4417 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.742, + "step": 4418 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.7938, + "step": 4419 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.7255, + "step": 4420 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.9305, + "step": 4421 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.533, + "step": 4422 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.7298, + "step": 4423 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.9016, + "step": 4424 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.8809, + "step": 4425 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.8389, + "step": 4426 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.7178, + "step": 4427 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.8076, + "step": 4428 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.639, + "step": 4429 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.8045, + "step": 4430 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.8957, + "step": 4431 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.8129, + "step": 4432 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.9006, + "step": 4433 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.7295, + "step": 4434 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.7136, + "step": 4435 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.8242, + "step": 4436 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.8635, + "step": 4437 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6952, + "step": 4438 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.9008, + "step": 4439 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6816, + "step": 4440 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.816, + "step": 4441 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.5966, + "step": 4442 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.8072, + "step": 4443 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.5345, + "step": 4444 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.4431, + "step": 4445 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 1.0397, + "step": 4446 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.5475, + "step": 4447 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6608, + "step": 4448 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.8389, + "step": 4449 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7016, + "step": 4450 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7277, + "step": 4451 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7504, + "step": 4452 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 1.2447, + "step": 4453 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7179, + "step": 4454 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.8169, + "step": 4455 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.8542, + "step": 4456 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.803, + "step": 4457 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7817, + "step": 4458 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6004, + "step": 4459 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6756, + "step": 4460 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.8563, + "step": 4461 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7371, + "step": 4462 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.573, + "step": 4463 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.8392, + "step": 4464 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 1.0063, + "step": 4465 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.8545, + "step": 4466 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.8307, + "step": 4467 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.5662, + "step": 4468 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6078, + "step": 4469 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.637, + "step": 4470 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7095, + "step": 4471 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.5684, + "step": 4472 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.9371, + "step": 4473 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.8185, + "step": 4474 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 1.0719, + "step": 4475 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.8372, + "step": 4476 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.8795, + "step": 4477 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7672, + "step": 4478 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7145, + "step": 4479 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7521, + "step": 4480 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6314, + "step": 4481 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6443, + "step": 4482 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6369, + "step": 4483 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7631, + "step": 4484 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 1.0569, + "step": 4485 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 1.0241, + "step": 4486 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 1.0083, + "step": 4487 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7966, + "step": 4488 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6271, + "step": 4489 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6236, + "step": 4490 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.4857, + "step": 4491 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6792, + "step": 4492 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 1.072, + "step": 4493 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 1.0094, + "step": 4494 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 1.1432, + "step": 4495 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 1.0398, + "step": 4496 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6037, + "step": 4497 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6838, + "step": 4498 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.627, + "step": 4499 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6419, + "step": 4500 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6088, + "step": 4501 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7048, + "step": 4502 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6556, + "step": 4503 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 1.034, + "step": 4504 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6429, + "step": 4505 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 1.2113, + "step": 4506 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.8335, + "step": 4507 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.8379, + "step": 4508 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.5958, + "step": 4509 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.8037, + "step": 4510 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7221, + "step": 4511 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7442, + "step": 4512 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 1.0469, + "step": 4513 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 1.1038, + "step": 4514 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.7159, + "step": 4515 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.9538, + "step": 4516 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6815, + "step": 4517 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 1.0542, + "step": 4518 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.7325, + "step": 4519 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.698, + "step": 4520 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.8453, + "step": 4521 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.9286, + "step": 4522 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.7637, + "step": 4523 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.5727, + "step": 4524 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6963, + "step": 4525 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.9258, + "step": 4526 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6854, + "step": 4527 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6667, + "step": 4528 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 1.0535, + "step": 4529 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6392, + "step": 4530 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.4509, + "step": 4531 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6521, + "step": 4532 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.8459, + "step": 4533 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.9409, + "step": 4534 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6672, + "step": 4535 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.7443, + "step": 4536 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.7359, + "step": 4537 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6143, + "step": 4538 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.8105, + "step": 4539 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.761, + "step": 4540 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6777, + "step": 4541 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.7854, + "step": 4542 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.8972, + "step": 4543 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.9446, + "step": 4544 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6086, + "step": 4545 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.9519, + "step": 4546 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.8496, + "step": 4547 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6937, + "step": 4548 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.7702, + "step": 4549 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6558, + "step": 4550 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.5905, + "step": 4551 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.8202, + "step": 4552 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.9065, + "step": 4553 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6521, + "step": 4554 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.864, + "step": 4555 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6774, + "step": 4556 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 1.0125, + "step": 4557 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.7731, + "step": 4558 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.848, + "step": 4559 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6873, + "step": 4560 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6666, + "step": 4561 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6504, + "step": 4562 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6573, + "step": 4563 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.7325, + "step": 4564 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.8587, + "step": 4565 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 1.0061, + "step": 4566 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 1.0101, + "step": 4567 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.8034, + "step": 4568 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.9084, + "step": 4569 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6948, + "step": 4570 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 1.0117, + "step": 4571 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.5991, + "step": 4572 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6839, + "step": 4573 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.8578, + "step": 4574 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.9353, + "step": 4575 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.7359, + "step": 4576 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.5227, + "step": 4577 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.666, + "step": 4578 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8509, + "step": 4579 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.9237, + "step": 4580 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8823, + "step": 4581 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 1.0332, + "step": 4582 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.6098, + "step": 4583 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.9402, + "step": 4584 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.6019, + "step": 4585 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8624, + "step": 4586 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.9374, + "step": 4587 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 1.2054, + "step": 4588 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7077, + "step": 4589 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.5928, + "step": 4590 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.783, + "step": 4591 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7803, + "step": 4592 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.9069, + "step": 4593 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7062, + "step": 4594 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.827, + "step": 4595 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 1.1617, + "step": 4596 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.9258, + "step": 4597 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8977, + "step": 4598 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8554, + "step": 4599 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.9486, + "step": 4600 + }, + { + "epoch": 0.73, + "eval_loss": 0.7723588943481445, + "eval_runtime": 154.0551, + "eval_samples_per_second": 6.491, + "eval_steps_per_second": 3.246, + "step": 4600 + }, + { + "epoch": 0.73, + "mmlu_eval_accuracy": 0.5407412267468423, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.7142857142857143, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, + "mmlu_eval_accuracy_college_biology": 0.8125, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.09090909090909091, + "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182, + "mmlu_eval_accuracy_college_medicine": 0.5, + "mmlu_eval_accuracy_college_physics": 0.5454545454545454, + "mmlu_eval_accuracy_computer_security": 0.6363636363636364, + "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, + "mmlu_eval_accuracy_econometrics": 0.3333333333333333, + "mmlu_eval_accuracy_electrical_engineering": 0.25, + "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.5, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769, + "mmlu_eval_accuracy_human_aging": 0.782608695652174, + "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, + "mmlu_eval_accuracy_international_law": 0.9230769230769231, + "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.7272727272727273, + "mmlu_eval_accuracy_marketing": 0.8, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, + "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, + "mmlu_eval_accuracy_moral_scenarios": 0.43, + "mmlu_eval_accuracy_nutrition": 0.5757575757575758, + "mmlu_eval_accuracy_philosophy": 0.6764705882352942, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.45161290322580644, + "mmlu_eval_accuracy_professional_law": 0.37058823529411766, + "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, + "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "mmlu_eval_accuracy_security_studies": 0.7037037037037037, + "mmlu_eval_accuracy_sociology": 0.6363636363636364, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.6842105263157895, + "mmlu_loss": 1.0669870743863576, + "step": 4600 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8676, + "step": 4601 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8445, + "step": 4602 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8947, + "step": 4603 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.5864, + "step": 4604 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8509, + "step": 4605 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.6226, + "step": 4606 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7943, + "step": 4607 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.9294, + "step": 4608 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7437, + "step": 4609 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.6786, + "step": 4610 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7984, + "step": 4611 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8097, + "step": 4612 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8773, + "step": 4613 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8963, + "step": 4614 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7243, + "step": 4615 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8867, + "step": 4616 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8194, + "step": 4617 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.5105, + "step": 4618 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.9297, + "step": 4619 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.6856, + "step": 4620 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8247, + "step": 4621 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8331, + "step": 4622 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.835, + "step": 4623 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8817, + "step": 4624 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.852, + "step": 4625 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.6208, + "step": 4626 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7165, + "step": 4627 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.6147, + "step": 4628 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7389, + "step": 4629 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.6153, + "step": 4630 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.6396, + "step": 4631 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 1.0584, + "step": 4632 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.9222, + "step": 4633 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7433, + "step": 4634 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.6861, + "step": 4635 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7494, + "step": 4636 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.6515, + "step": 4637 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8344, + "step": 4638 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 1.1147, + "step": 4639 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.8534, + "step": 4640 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.8866, + "step": 4641 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.8013, + "step": 4642 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6003, + "step": 4643 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7923, + "step": 4644 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 1.1889, + "step": 4645 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.8434, + "step": 4646 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.5602, + "step": 4647 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.5972, + "step": 4648 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.9731, + "step": 4649 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.979, + "step": 4650 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.677, + "step": 4651 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6484, + "step": 4652 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7418, + "step": 4653 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.9493, + "step": 4654 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.656, + "step": 4655 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6952, + "step": 4656 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 1.0652, + "step": 4657 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.8555, + "step": 4658 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.8115, + "step": 4659 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.5844, + "step": 4660 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.9064, + "step": 4661 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 1.0132, + "step": 4662 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.8167, + "step": 4663 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.9394, + "step": 4664 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.8478, + "step": 4665 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 1.1398, + "step": 4666 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6506, + "step": 4667 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7655, + "step": 4668 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6678, + "step": 4669 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 1.0809, + "step": 4670 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7689, + "step": 4671 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7992, + "step": 4672 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.9953, + "step": 4673 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.9989, + "step": 4674 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.58, + "step": 4675 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.5854, + "step": 4676 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.633, + "step": 4677 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7464, + "step": 4678 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6586, + "step": 4679 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7911, + "step": 4680 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.5, + "step": 4681 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6552, + "step": 4682 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.5948, + "step": 4683 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7617, + "step": 4684 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7057, + "step": 4685 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.5695, + "step": 4686 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 1.0604, + "step": 4687 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.9424, + "step": 4688 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.8646, + "step": 4689 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.719, + "step": 4690 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7112, + "step": 4691 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 1.0089, + "step": 4692 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.9403, + "step": 4693 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7168, + "step": 4694 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7881, + "step": 4695 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.9003, + "step": 4696 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.9302, + "step": 4697 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6676, + "step": 4698 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7287, + "step": 4699 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.9191, + "step": 4700 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6894, + "step": 4701 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.8986, + "step": 4702 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6364, + "step": 4703 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.8629, + "step": 4704 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.8645, + "step": 4705 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.8862, + "step": 4706 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6305, + "step": 4707 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.7346, + "step": 4708 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.5948, + "step": 4709 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6162, + "step": 4710 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.5432, + "step": 4711 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.5961, + "step": 4712 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.7293, + "step": 4713 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.8186, + "step": 4714 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.7665, + "step": 4715 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 1.016, + "step": 4716 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.8624, + "step": 4717 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.8222, + "step": 4718 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.9258, + "step": 4719 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.8654, + "step": 4720 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.7876, + "step": 4721 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.8849, + "step": 4722 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.7491, + "step": 4723 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.7972, + "step": 4724 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.8499, + "step": 4725 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.878, + "step": 4726 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.96, + "step": 4727 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.8796, + "step": 4728 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.8135, + "step": 4729 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6441, + "step": 4730 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.4086, + "step": 4731 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6192, + "step": 4732 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.8731, + "step": 4733 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.7484, + "step": 4734 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.7836, + "step": 4735 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 1.1057, + "step": 4736 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6246, + "step": 4737 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.5731, + "step": 4738 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6604, + "step": 4739 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.7788, + "step": 4740 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.608, + "step": 4741 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.7202, + "step": 4742 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6965, + "step": 4743 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.7921, + "step": 4744 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6039, + "step": 4745 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.9777, + "step": 4746 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 1.0138, + "step": 4747 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6714, + "step": 4748 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.654, + "step": 4749 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.8086, + "step": 4750 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.5329, + "step": 4751 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.659, + "step": 4752 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6833, + "step": 4753 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.8345, + "step": 4754 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.634, + "step": 4755 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6974, + "step": 4756 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.8422, + "step": 4757 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.8008, + "step": 4758 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.7662, + "step": 4759 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.9997, + "step": 4760 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.767, + "step": 4761 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.8073, + "step": 4762 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6488, + "step": 4763 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6835, + "step": 4764 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.5739, + "step": 4765 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.9934, + "step": 4766 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 1.006, + "step": 4767 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6983, + "step": 4768 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.5192, + "step": 4769 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.8423, + "step": 4770 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7655, + "step": 4771 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6244, + "step": 4772 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7254, + "step": 4773 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.9627, + "step": 4774 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.9386, + "step": 4775 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.683, + "step": 4776 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.8425, + "step": 4777 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.9472, + "step": 4778 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7016, + "step": 4779 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7971, + "step": 4780 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.9025, + "step": 4781 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7839, + "step": 4782 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.8689, + "step": 4783 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6651, + "step": 4784 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6876, + "step": 4785 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7098, + "step": 4786 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.884, + "step": 4787 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7931, + "step": 4788 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.8394, + "step": 4789 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7819, + "step": 4790 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.951, + "step": 4791 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7601, + "step": 4792 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.963, + "step": 4793 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.9454, + "step": 4794 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.9911, + "step": 4795 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6584, + "step": 4796 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7967, + "step": 4797 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 1.0128, + "step": 4798 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.5854, + "step": 4799 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.9794, + "step": 4800 + }, + { + "epoch": 0.76, + "eval_loss": 0.7699688673019409, + "eval_runtime": 154.1658, + "eval_samples_per_second": 6.487, + "eval_steps_per_second": 3.243, + "step": 4800 + }, + { + "epoch": 0.76, + "mmlu_eval_accuracy": 0.5165542635554893, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.7272727272727273, + "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, + "mmlu_eval_accuracy_college_biology": 0.5, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.09090909090909091, + "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.45454545454545453, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.36363636363636365, + "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615, + "mmlu_eval_accuracy_econometrics": 0.25, + "mmlu_eval_accuracy_electrical_engineering": 0.5, + "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.4375, + "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5116279069767442, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, + "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, + "mmlu_eval_accuracy_high_school_psychology": 0.7666666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, + "mmlu_eval_accuracy_human_aging": 0.8695652173913043, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.7692307692307693, + "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, + "mmlu_eval_accuracy_management": 0.6363636363636364, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, + "mmlu_eval_accuracy_moral_disputes": 0.5, + "mmlu_eval_accuracy_moral_scenarios": 0.33, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.5588235294117647, + "mmlu_eval_accuracy_prehistory": 0.42857142857142855, + "mmlu_eval_accuracy_professional_accounting": 0.3548387096774194, + "mmlu_eval_accuracy_professional_law": 0.38235294117647056, + "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, + "mmlu_eval_accuracy_professional_psychology": 0.5652173913043478, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.7272727272727273, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.6111111111111112, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.051567590267789, + "step": 4800 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6951, + "step": 4801 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7759, + "step": 4802 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7275, + "step": 4803 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6749, + "step": 4804 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6635, + "step": 4805 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.5159, + "step": 4806 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6525, + "step": 4807 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.8211, + "step": 4808 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.8592, + "step": 4809 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7768, + "step": 4810 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.5621, + "step": 4811 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.9826, + "step": 4812 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7216, + "step": 4813 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6504, + "step": 4814 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6421, + "step": 4815 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.948, + "step": 4816 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6219, + "step": 4817 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 1.2117, + "step": 4818 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7968, + "step": 4819 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.5872, + "step": 4820 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7774, + "step": 4821 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 1.0522, + "step": 4822 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.9462, + "step": 4823 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6534, + "step": 4824 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6706, + "step": 4825 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 1.0038, + "step": 4826 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7821, + "step": 4827 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.9477, + "step": 4828 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.969, + "step": 4829 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8559, + "step": 4830 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.5408, + "step": 4831 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.824, + "step": 4832 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6896, + "step": 4833 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.9391, + "step": 4834 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8457, + "step": 4835 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8318, + "step": 4836 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.9374, + "step": 4837 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8396, + "step": 4838 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.9288, + "step": 4839 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.7647, + "step": 4840 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.987, + "step": 4841 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.7519, + "step": 4842 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.4297, + "step": 4843 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.7158, + "step": 4844 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8489, + "step": 4845 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 1.0384, + "step": 4846 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6949, + "step": 4847 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8911, + "step": 4848 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.9827, + "step": 4849 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8777, + "step": 4850 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6362, + "step": 4851 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.9278, + "step": 4852 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.4972, + "step": 4853 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8161, + "step": 4854 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8743, + "step": 4855 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 1.1151, + "step": 4856 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8319, + "step": 4857 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.9122, + "step": 4858 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.519, + "step": 4859 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6446, + "step": 4860 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8454, + "step": 4861 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6487, + "step": 4862 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.7651, + "step": 4863 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.5198, + "step": 4864 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.5181, + "step": 4865 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.7751, + "step": 4866 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8198, + "step": 4867 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.7355, + "step": 4868 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6916, + "step": 4869 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6632, + "step": 4870 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6651, + "step": 4871 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8752, + "step": 4872 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8125, + "step": 4873 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.5807, + "step": 4874 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.5108, + "step": 4875 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6429, + "step": 4876 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.7735, + "step": 4877 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.7618, + "step": 4878 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.7492, + "step": 4879 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8231, + "step": 4880 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8033, + "step": 4881 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6217, + "step": 4882 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8323, + "step": 4883 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6182, + "step": 4884 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8126, + "step": 4885 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.811, + "step": 4886 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.7822, + "step": 4887 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.7891, + "step": 4888 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.9432, + "step": 4889 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8638, + "step": 4890 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.7508, + "step": 4891 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.8452, + "step": 4892 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.8912, + "step": 4893 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.8492, + "step": 4894 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.7648, + "step": 4895 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 1.2725, + "step": 4896 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.8645, + "step": 4897 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.7115, + "step": 4898 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 1.0221, + "step": 4899 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 1.0041, + "step": 4900 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.9014, + "step": 4901 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.8354, + "step": 4902 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.8415, + "step": 4903 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.9393, + "step": 4904 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 1.0083, + "step": 4905 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 1.0771, + "step": 4906 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.8487, + "step": 4907 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.922, + "step": 4908 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6414, + "step": 4909 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.8059, + "step": 4910 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.9441, + "step": 4911 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6629, + "step": 4912 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6057, + "step": 4913 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.7703, + "step": 4914 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 1.0395, + "step": 4915 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.4881, + "step": 4916 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.8159, + "step": 4917 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.9111, + "step": 4918 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6264, + "step": 4919 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 1.0236, + "step": 4920 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.8111, + "step": 4921 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.8588, + "step": 4922 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.788, + "step": 4923 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6493, + "step": 4924 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.7566, + "step": 4925 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.9505, + "step": 4926 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.9337, + "step": 4927 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.5715, + "step": 4928 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6338, + "step": 4929 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6672, + "step": 4930 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6248, + "step": 4931 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.8583, + "step": 4932 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.721, + "step": 4933 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.9235, + "step": 4934 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.7711, + "step": 4935 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 1.1648, + "step": 4936 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6801, + "step": 4937 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.7552, + "step": 4938 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.5712, + "step": 4939 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 1.0391, + "step": 4940 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.8025, + "step": 4941 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.7665, + "step": 4942 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.8316, + "step": 4943 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.5845, + "step": 4944 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.9371, + "step": 4945 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.9018, + "step": 4946 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.5543, + "step": 4947 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.9476, + "step": 4948 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.5353, + "step": 4949 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.9922, + "step": 4950 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.9149, + "step": 4951 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.577, + "step": 4952 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.8016, + "step": 4953 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.8807, + "step": 4954 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7072, + "step": 4955 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.5828, + "step": 4956 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7817, + "step": 4957 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7766, + "step": 4958 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.8841, + "step": 4959 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.8666, + "step": 4960 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6786, + "step": 4961 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7108, + "step": 4962 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.8022, + "step": 4963 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.742, + "step": 4964 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.8769, + "step": 4965 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 1.0306, + "step": 4966 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.9394, + "step": 4967 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.5889, + "step": 4968 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.9535, + "step": 4969 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6952, + "step": 4970 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7699, + "step": 4971 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6534, + "step": 4972 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7336, + "step": 4973 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.5561, + "step": 4974 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.9065, + "step": 4975 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.8769, + "step": 4976 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.8446, + "step": 4977 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.722, + "step": 4978 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7725, + "step": 4979 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7644, + "step": 4980 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6538, + "step": 4981 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 1.0117, + "step": 4982 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7831, + "step": 4983 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.9288, + "step": 4984 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.5743, + "step": 4985 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.9029, + "step": 4986 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.8889, + "step": 4987 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.8207, + "step": 4988 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7616, + "step": 4989 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.8065, + "step": 4990 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.8616, + "step": 4991 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.5732, + "step": 4992 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.8395, + "step": 4993 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7423, + "step": 4994 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7587, + "step": 4995 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7575, + "step": 4996 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6721, + "step": 4997 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6839, + "step": 4998 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 1.0803, + "step": 4999 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.805, + "step": 5000 + }, + { + "epoch": 0.79, + "eval_loss": 0.7694218158721924, + "eval_runtime": 154.1818, + "eval_samples_per_second": 6.486, + "eval_steps_per_second": 3.243, + "step": 5000 + }, + { + "epoch": 0.79, + "mmlu_eval_accuracy": 0.5321958764904854, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.5625, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, + "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, + "mmlu_eval_accuracy_college_medicine": 0.36363636363636365, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.45454545454545453, + "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615, + "mmlu_eval_accuracy_econometrics": 0.25, + "mmlu_eval_accuracy_electrical_engineering": 0.4375, + "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.46875, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5116279069767442, + "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069, + "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.75, + "mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, + "mmlu_eval_accuracy_human_aging": 0.8695652173913043, + "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, + "mmlu_eval_accuracy_international_law": 0.8461538461538461, + "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.7272727272727273, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7674418604651163, + "mmlu_eval_accuracy_moral_disputes": 0.6052631578947368, + "mmlu_eval_accuracy_moral_scenarios": 0.28, + "mmlu_eval_accuracy_nutrition": 0.5757575757575758, + "mmlu_eval_accuracy_philosophy": 0.5294117647058824, + "mmlu_eval_accuracy_prehistory": 0.45714285714285713, + "mmlu_eval_accuracy_professional_accounting": 0.45161290322580644, + "mmlu_eval_accuracy_professional_law": 0.38823529411764707, + "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, + "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "mmlu_eval_accuracy_sociology": 0.7727272727272727, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 1.031675611479164, + "step": 5000 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7686, + "step": 5001 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6612, + "step": 5002 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.9682, + "step": 5003 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7127, + "step": 5004 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.8293, + "step": 5005 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6407, + "step": 5006 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.795, + "step": 5007 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.8735, + "step": 5008 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.8184, + "step": 5009 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 1.0002, + "step": 5010 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.643, + "step": 5011 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7255, + "step": 5012 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6935, + "step": 5013 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.5661, + "step": 5014 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7576, + "step": 5015 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.8922, + "step": 5016 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6819, + "step": 5017 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.8934, + "step": 5018 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.787, + "step": 5019 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7384, + "step": 5020 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.8762, + "step": 5021 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 1.1087, + "step": 5022 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6361, + "step": 5023 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6224, + "step": 5024 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.8308, + "step": 5025 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.8602, + "step": 5026 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.9086, + "step": 5027 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7187, + "step": 5028 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7189, + "step": 5029 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7062, + "step": 5030 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.8127, + "step": 5031 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.5667, + "step": 5032 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6572, + "step": 5033 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.8942, + "step": 5034 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7119, + "step": 5035 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.5953, + "step": 5036 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.8954, + "step": 5037 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7779, + "step": 5038 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7898, + "step": 5039 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.8496, + "step": 5040 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7, + "step": 5041 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.5733, + "step": 5042 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.896, + "step": 5043 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6609, + "step": 5044 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7413, + "step": 5045 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 1.0229, + "step": 5046 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7814, + "step": 5047 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.4551, + "step": 5048 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6784, + "step": 5049 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7135, + "step": 5050 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.8453, + "step": 5051 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6107, + "step": 5052 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.8525, + "step": 5053 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.9167, + "step": 5054 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.8311, + "step": 5055 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7456, + "step": 5056 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 1.0415, + "step": 5057 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.9184, + "step": 5058 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6999, + "step": 5059 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.8272, + "step": 5060 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.8553, + "step": 5061 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.8783, + "step": 5062 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.9846, + "step": 5063 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6169, + "step": 5064 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7535, + "step": 5065 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.9012, + "step": 5066 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.912, + "step": 5067 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6504, + "step": 5068 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.8374, + "step": 5069 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.4078, + "step": 5070 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.8183, + "step": 5071 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7673, + "step": 5072 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.634, + "step": 5073 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7877, + "step": 5074 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.4873, + "step": 5075 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.8426, + "step": 5076 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7932, + "step": 5077 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.877, + "step": 5078 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7504, + "step": 5079 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.8223, + "step": 5080 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7199, + "step": 5081 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7566, + "step": 5082 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.8162, + "step": 5083 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.457, + "step": 5084 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.9333, + "step": 5085 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.8705, + "step": 5086 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6443, + "step": 5087 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7573, + "step": 5088 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.8722, + "step": 5089 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7114, + "step": 5090 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.8867, + "step": 5091 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6564, + "step": 5092 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7964, + "step": 5093 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6488, + "step": 5094 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.9129, + "step": 5095 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7398, + "step": 5096 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7998, + "step": 5097 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.8248, + "step": 5098 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6898, + "step": 5099 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.8553, + "step": 5100 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.8162, + "step": 5101 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.8099, + "step": 5102 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6755, + "step": 5103 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7291, + "step": 5104 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6523, + "step": 5105 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7681, + "step": 5106 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.618, + "step": 5107 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.9968, + "step": 5108 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.691, + "step": 5109 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7912, + "step": 5110 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.714, + "step": 5111 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.4997, + "step": 5112 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.729, + "step": 5113 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7636, + "step": 5114 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 1.0195, + "step": 5115 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.8116, + "step": 5116 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 1.0682, + "step": 5117 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 1.0772, + "step": 5118 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.9424, + "step": 5119 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7128, + "step": 5120 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6504, + "step": 5121 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6283, + "step": 5122 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.874, + "step": 5123 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7023, + "step": 5124 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.8837, + "step": 5125 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6915, + "step": 5126 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7542, + "step": 5127 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6472, + "step": 5128 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6909, + "step": 5129 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7087, + "step": 5130 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 1.2307, + "step": 5131 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.4999, + "step": 5132 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7666, + "step": 5133 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.841, + "step": 5134 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7182, + "step": 5135 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 1.2242, + "step": 5136 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.9931, + "step": 5137 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 1.0811, + "step": 5138 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.9787, + "step": 5139 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.844, + "step": 5140 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6665, + "step": 5141 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7617, + "step": 5142 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.8398, + "step": 5143 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6535, + "step": 5144 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.2394, + "step": 5145 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 1.1058, + "step": 5146 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.8504, + "step": 5147 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.8535, + "step": 5148 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.5486, + "step": 5149 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.699, + "step": 5150 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.888, + "step": 5151 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6831, + "step": 5152 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.8197, + "step": 5153 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6971, + "step": 5154 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 1.0917, + "step": 5155 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.787, + "step": 5156 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6929, + "step": 5157 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6885, + "step": 5158 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.8965, + "step": 5159 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6251, + "step": 5160 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 1.0587, + "step": 5161 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.9769, + "step": 5162 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.777, + "step": 5163 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6946, + "step": 5164 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.8554, + "step": 5165 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.8945, + "step": 5166 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6736, + "step": 5167 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6686, + "step": 5168 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6972, + "step": 5169 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6049, + "step": 5170 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 1.0872, + "step": 5171 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.8158, + "step": 5172 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6565, + "step": 5173 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.8222, + "step": 5174 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7151, + "step": 5175 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.4581, + "step": 5176 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.3713, + "step": 5177 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7985, + "step": 5178 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6801, + "step": 5179 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7889, + "step": 5180 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6562, + "step": 5181 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6493, + "step": 5182 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 1.0397, + "step": 5183 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.5395, + "step": 5184 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6285, + "step": 5185 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6419, + "step": 5186 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6368, + "step": 5187 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7522, + "step": 5188 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7627, + "step": 5189 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6028, + "step": 5190 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.8823, + "step": 5191 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6907, + "step": 5192 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7437, + "step": 5193 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.9863, + "step": 5194 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7646, + "step": 5195 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 1.0576, + "step": 5196 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.941, + "step": 5197 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.699, + "step": 5198 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7911, + "step": 5199 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6724, + "step": 5200 + }, + { + "epoch": 0.82, + "eval_loss": 0.7720039486885071, + "eval_runtime": 154.0205, + "eval_samples_per_second": 6.493, + "eval_steps_per_second": 3.246, + "step": 5200 + }, + { + "epoch": 0.82, + "mmlu_eval_accuracy": 0.5335599948109789, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.6428571428571429, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.125, + "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, + "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, + "mmlu_eval_accuracy_college_medicine": 0.4090909090909091, + "mmlu_eval_accuracy_college_physics": 0.36363636363636365, + "mmlu_eval_accuracy_computer_security": 0.45454545454545453, + "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, + "mmlu_eval_accuracy_econometrics": 0.4166666666666667, + "mmlu_eval_accuracy_electrical_engineering": 0.3125, + "mmlu_eval_accuracy_elementary_mathematics": 0.4878048780487805, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.2, + "mmlu_eval_accuracy_high_school_biology": 0.46875, + "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, + "mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966, + "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.7833333333333333, + "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, + "mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364, + "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, + "mmlu_eval_accuracy_human_aging": 0.782608695652174, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.9230769230769231, + "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.7272727272727273, + "mmlu_eval_accuracy_marketing": 0.8, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, + "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, + "mmlu_eval_accuracy_moral_scenarios": 0.26, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.6764705882352942, + "mmlu_eval_accuracy_prehistory": 0.45714285714285713, + "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, + "mmlu_eval_accuracy_professional_law": 0.38823529411764707, + "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, + "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.6666666666666666, + "mmlu_eval_accuracy_sociology": 0.8181818181818182, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 0.9642746657444354, + "step": 5200 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7966, + "step": 5201 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7177, + "step": 5202 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.8385, + "step": 5203 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.5988, + "step": 5204 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.8432, + "step": 5205 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.4339, + "step": 5206 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7361, + "step": 5207 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6454, + "step": 5208 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.5477, + "step": 5209 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7785, + "step": 5210 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.8787, + "step": 5211 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7735, + "step": 5212 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.9088, + "step": 5213 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.563, + "step": 5214 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7033, + "step": 5215 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.848, + "step": 5216 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.9367, + "step": 5217 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 1.0271, + "step": 5218 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6575, + "step": 5219 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.9173, + "step": 5220 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7397, + "step": 5221 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7371, + "step": 5222 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6744, + "step": 5223 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 1.0858, + "step": 5224 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.5155, + "step": 5225 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.8093, + "step": 5226 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7774, + "step": 5227 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.5848, + "step": 5228 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.5478, + "step": 5229 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.8945, + "step": 5230 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.538, + "step": 5231 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6551, + "step": 5232 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.8655, + "step": 5233 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6777, + "step": 5234 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.8092, + "step": 5235 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.9005, + "step": 5236 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6543, + "step": 5237 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7811, + "step": 5238 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6129, + "step": 5239 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6444, + "step": 5240 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7462, + "step": 5241 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.9017, + "step": 5242 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.4376, + "step": 5243 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.615, + "step": 5244 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7573, + "step": 5245 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6861, + "step": 5246 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7486, + "step": 5247 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6236, + "step": 5248 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.5663, + "step": 5249 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.8922, + "step": 5250 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.9383, + "step": 5251 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.5624, + "step": 5252 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.8195, + "step": 5253 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7712, + "step": 5254 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.8449, + "step": 5255 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.5659, + "step": 5256 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.756, + "step": 5257 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.5406, + "step": 5258 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.74, + "step": 5259 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.894, + "step": 5260 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 1.0258, + "step": 5261 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.5586, + "step": 5262 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7674, + "step": 5263 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.5837, + "step": 5264 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.8286, + "step": 5265 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7475, + "step": 5266 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6228, + "step": 5267 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.85, + "step": 5268 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.628, + "step": 5269 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6638, + "step": 5270 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.5911, + "step": 5271 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.5162, + "step": 5272 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.8672, + "step": 5273 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7774, + "step": 5274 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.5356, + "step": 5275 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7641, + "step": 5276 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6105, + "step": 5277 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.5879, + "step": 5278 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.867, + "step": 5279 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.8223, + "step": 5280 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 1.0119, + "step": 5281 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7622, + "step": 5282 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.8295, + "step": 5283 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.5205, + "step": 5284 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.86, + "step": 5285 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7364, + "step": 5286 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7728, + "step": 5287 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7968, + "step": 5288 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7811, + "step": 5289 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 1.0016, + "step": 5290 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6192, + "step": 5291 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6851, + "step": 5292 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7615, + "step": 5293 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.5272, + "step": 5294 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.5113, + "step": 5295 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 1.0201, + "step": 5296 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6475, + "step": 5297 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.5995, + "step": 5298 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.8297, + "step": 5299 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.5456, + "step": 5300 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6301, + "step": 5301 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7451, + "step": 5302 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.8087, + "step": 5303 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.5441, + "step": 5304 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.9397, + "step": 5305 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7764, + "step": 5306 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.9224, + "step": 5307 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.8409, + "step": 5308 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.638, + "step": 5309 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 1.0082, + "step": 5310 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7433, + "step": 5311 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.9371, + "step": 5312 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.8219, + "step": 5313 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7124, + "step": 5314 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7395, + "step": 5315 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6819, + "step": 5316 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.8731, + "step": 5317 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.664, + "step": 5318 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.5748, + "step": 5319 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.9238, + "step": 5320 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.8548, + "step": 5321 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.8576, + "step": 5322 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6826, + "step": 5323 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.8499, + "step": 5324 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.9686, + "step": 5325 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.9514, + "step": 5326 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7318, + "step": 5327 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.9471, + "step": 5328 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6347, + "step": 5329 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7072, + "step": 5330 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.8327, + "step": 5331 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 1.0081, + "step": 5332 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7188, + "step": 5333 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.8996, + "step": 5334 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.5552, + "step": 5335 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.7016, + "step": 5336 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.4466, + "step": 5337 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6637, + "step": 5338 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.9547, + "step": 5339 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.8734, + "step": 5340 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.8732, + "step": 5341 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.7377, + "step": 5342 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 1.0652, + "step": 5343 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.8291, + "step": 5344 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.9219, + "step": 5345 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.9561, + "step": 5346 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.5723, + "step": 5347 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6668, + "step": 5348 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.733, + "step": 5349 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.7846, + "step": 5350 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.7421, + "step": 5351 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.5732, + "step": 5352 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.8814, + "step": 5353 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.8198, + "step": 5354 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.8639, + "step": 5355 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.8887, + "step": 5356 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.7916, + "step": 5357 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6041, + "step": 5358 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.8012, + "step": 5359 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.8423, + "step": 5360 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6698, + "step": 5361 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6647, + "step": 5362 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 1.2193, + "step": 5363 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.9025, + "step": 5364 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.9623, + "step": 5365 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.693, + "step": 5366 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.5776, + "step": 5367 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.79, + "step": 5368 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6592, + "step": 5369 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 1.014, + "step": 5370 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.8929, + "step": 5371 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.8475, + "step": 5372 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.8337, + "step": 5373 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.5995, + "step": 5374 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.7432, + "step": 5375 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6342, + "step": 5376 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6002, + "step": 5377 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6354, + "step": 5378 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.7343, + "step": 5379 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 1.1153, + "step": 5380 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.7136, + "step": 5381 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.7538, + "step": 5382 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 1.0193, + "step": 5383 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.8155, + "step": 5384 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.5529, + "step": 5385 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6132, + "step": 5386 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.5632, + "step": 5387 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.7469, + "step": 5388 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.9217, + "step": 5389 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.8494, + "step": 5390 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6762, + "step": 5391 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.7986, + "step": 5392 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 1.0381, + "step": 5393 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6702, + "step": 5394 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.7308, + "step": 5395 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.685, + "step": 5396 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.8331, + "step": 5397 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.615, + "step": 5398 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.7934, + "step": 5399 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.757, + "step": 5400 + }, + { + "epoch": 0.86, + "eval_loss": 0.7729824781417847, + "eval_runtime": 154.1186, + "eval_samples_per_second": 6.489, + "eval_steps_per_second": 3.244, + "step": 5400 + }, + { + "epoch": 0.86, + "mmlu_eval_accuracy": 0.45322168744393193, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.5, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.125, + "mmlu_eval_accuracy_college_computer_science": 0.09090909090909091, + "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, + "mmlu_eval_accuracy_college_medicine": 0.3181818181818182, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.2727272727272727, + "mmlu_eval_accuracy_conceptual_physics": 0.2692307692307692, + "mmlu_eval_accuracy_econometrics": 0.25, + "mmlu_eval_accuracy_electrical_engineering": 0.25, + "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.5, + "mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.5238095238095238, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744, + "mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, + "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.7, + "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, + "mmlu_eval_accuracy_human_aging": 0.6521739130434783, + "mmlu_eval_accuracy_human_sexuality": 0.25, + "mmlu_eval_accuracy_international_law": 0.8461538461538461, + "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.5555555555555556, + "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, + "mmlu_eval_accuracy_management": 0.5454545454545454, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, + "mmlu_eval_accuracy_miscellaneous": 0.6162790697674418, + "mmlu_eval_accuracy_moral_disputes": 0.6052631578947368, + "mmlu_eval_accuracy_moral_scenarios": 0.31, + "mmlu_eval_accuracy_nutrition": 0.5454545454545454, + "mmlu_eval_accuracy_philosophy": 0.4411764705882353, + "mmlu_eval_accuracy_prehistory": 0.42857142857142855, + "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, + "mmlu_eval_accuracy_professional_law": 0.32941176470588235, + "mmlu_eval_accuracy_professional_medicine": 0.45161290322580644, + "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.4074074074074074, + "mmlu_eval_accuracy_sociology": 0.5, + "mmlu_eval_accuracy_us_foreign_policy": 0.45454545454545453, + "mmlu_eval_accuracy_virology": 0.2777777777777778, + "mmlu_eval_accuracy_world_religions": 0.5263157894736842, + "mmlu_loss": 0.8855462668380911, + "step": 5400 + } + ], + "logging_steps": 1, + "max_steps": 18933, + "num_train_epochs": 3, + "save_steps": 200, + "total_flos": 1.2421033903629926e+18, + "trial_name": null, + "trial_params": null +}