diff --git "a/checkpoint-11200/trainer_state.json" "b/checkpoint-11200/trainer_state.json" new file mode 100644--- /dev/null +++ "b/checkpoint-11200/trainer_state.json" @@ -0,0 +1,71195 @@ +{ + "best_metric": 0.6693834066390991, + "best_model_checkpoint": "experts/mistralic-expert-29/checkpoint-3400", + "epoch": 2.8279257669486175, + "eval_steps": 200, + "global_step": 11200, + "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": 0.8281, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6834, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6795, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.5884, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.836, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7988, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.531, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6883, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7717, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7416, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.5991, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6144, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.5785, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7473, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6916, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.9093, + "step": 16 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.9202, + "step": 17 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.5683, + "step": 18 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6056, + "step": 19 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8613, + "step": 20 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7247, + "step": 21 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5612, + "step": 22 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6764, + "step": 23 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8115, + "step": 24 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5642, + "step": 25 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5383, + "step": 26 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5503, + "step": 27 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6636, + "step": 28 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7039, + "step": 29 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7322, + "step": 30 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6291, + "step": 31 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6892, + "step": 32 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8208, + "step": 33 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6776, + "step": 34 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5404, + "step": 35 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6605, + "step": 36 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8808, + "step": 37 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7159, + "step": 38 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6436, + "step": 39 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5478, + "step": 40 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.879, + "step": 41 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8325, + "step": 42 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7474, + "step": 43 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6632, + "step": 44 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6072, + "step": 45 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7562, + "step": 46 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6429, + "step": 47 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6926, + "step": 48 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7064, + "step": 49 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7125, + "step": 50 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6166, + "step": 51 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5655, + "step": 52 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7084, + "step": 53 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6504, + "step": 54 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6086, + "step": 55 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8146, + "step": 56 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.706, + "step": 57 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6723, + "step": 58 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.4581, + "step": 59 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7367, + "step": 60 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7673, + "step": 61 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.513, + "step": 62 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7892, + "step": 63 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.662, + "step": 64 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.656, + "step": 65 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.559, + "step": 66 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6614, + "step": 67 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7893, + "step": 68 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7972, + "step": 69 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8093, + "step": 70 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8171, + "step": 71 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6491, + "step": 72 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6915, + "step": 73 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5994, + "step": 74 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5994, + "step": 75 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.608, + "step": 76 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6353, + "step": 77 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6389, + "step": 78 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.539, + "step": 79 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6736, + "step": 80 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7245, + "step": 81 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7079, + "step": 82 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7158, + "step": 83 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5509, + "step": 84 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.688, + "step": 85 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9429, + "step": 86 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7074, + "step": 87 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7848, + "step": 88 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7461, + "step": 89 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7644, + "step": 90 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.893, + "step": 91 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9111, + "step": 92 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.729, + "step": 93 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6529, + "step": 94 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9489, + "step": 95 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6918, + "step": 96 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5863, + "step": 97 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6953, + "step": 98 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6269, + "step": 99 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.5336, + "step": 100 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6729, + "step": 101 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.57, + "step": 102 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7521, + "step": 103 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6486, + "step": 104 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6212, + "step": 105 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8345, + "step": 106 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6985, + "step": 107 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6532, + "step": 108 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7224, + "step": 109 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6173, + "step": 110 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8925, + "step": 111 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6129, + "step": 112 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6461, + "step": 113 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.5614, + "step": 114 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7075, + "step": 115 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.5555, + "step": 116 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6579, + "step": 117 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7032, + "step": 118 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7109, + "step": 119 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.631, + "step": 120 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.5974, + "step": 121 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8038, + "step": 122 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6748, + "step": 123 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8089, + "step": 124 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.5831, + "step": 125 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7566, + "step": 126 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6766, + "step": 127 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7793, + "step": 128 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.638, + "step": 129 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6085, + "step": 130 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6366, + "step": 131 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.918, + "step": 132 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6851, + "step": 133 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6124, + "step": 134 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7642, + "step": 135 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.642, + "step": 136 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9157, + "step": 137 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6619, + "step": 138 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8664, + "step": 139 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6881, + "step": 140 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6909, + "step": 141 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7242, + "step": 142 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.635, + "step": 143 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8164, + "step": 144 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6169, + "step": 145 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.5874, + "step": 146 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6332, + "step": 147 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8494, + "step": 148 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.834, + "step": 149 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8598, + "step": 150 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.5545, + "step": 151 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9171, + "step": 152 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6941, + "step": 153 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8018, + "step": 154 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7894, + "step": 155 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.5925, + "step": 156 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6051, + "step": 157 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7172, + "step": 158 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7902, + "step": 159 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8397, + "step": 160 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7131, + "step": 161 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7729, + "step": 162 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.604, + "step": 163 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.682, + "step": 164 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.641, + "step": 165 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7199, + "step": 166 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.5337, + "step": 167 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8882, + "step": 168 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7981, + "step": 169 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7438, + "step": 170 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.586, + "step": 171 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8469, + "step": 172 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7154, + "step": 173 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6153, + "step": 174 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.5517, + "step": 175 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.951, + "step": 176 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6128, + "step": 177 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6679, + "step": 178 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6546, + "step": 179 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6633, + "step": 180 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7509, + "step": 181 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6667, + "step": 182 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6744, + "step": 183 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8333, + "step": 184 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9516, + "step": 185 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.5293, + "step": 186 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.5694, + "step": 187 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7939, + "step": 188 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6257, + "step": 189 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6859, + "step": 190 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7746, + "step": 191 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.5474, + "step": 192 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6079, + "step": 193 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6545, + "step": 194 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7829, + "step": 195 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6969, + "step": 196 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.713, + "step": 197 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8589, + "step": 198 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6964, + "step": 199 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6997, + "step": 200 + }, + { + "epoch": 0.05, + "eval_loss": 0.6861502528190613, + "eval_runtime": 95.1356, + "eval_samples_per_second": 10.511, + "eval_steps_per_second": 5.256, + "step": 200 + }, + { + "epoch": 0.05, + "mmlu_eval_accuracy": 0.5869545490402098, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.8125, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "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": 0.18181818181818182, + "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, + "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, + "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": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.5625, + "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, + "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.59375, + "mmlu_eval_accuracy_high_school_chemistry": 0.45454545454545453, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.9090909090909091, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.6511627906976745, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "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": 0.36363636363636365, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.92, + "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": 0.38, + "mmlu_eval_accuracy_nutrition": 0.7272727272727273, + "mmlu_eval_accuracy_philosophy": 0.7058823529411765, + "mmlu_eval_accuracy_prehistory": 0.4857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, + "mmlu_eval_accuracy_professional_law": 0.40588235294117647, + "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": 0.6296296296296297, + "mmlu_eval_accuracy_sociology": 0.8181818181818182, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.8230019673977447, + "step": 200 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6604, + "step": 201 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8396, + "step": 202 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7984, + "step": 203 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6176, + "step": 204 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.5603, + "step": 205 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6735, + "step": 206 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.5549, + "step": 207 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6017, + "step": 208 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7503, + "step": 209 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6149, + "step": 210 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.695, + "step": 211 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6514, + "step": 212 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6449, + "step": 213 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7956, + "step": 214 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.5207, + "step": 215 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6516, + "step": 216 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8209, + "step": 217 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6882, + "step": 218 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6878, + "step": 219 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6819, + "step": 220 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5928, + "step": 221 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6976, + "step": 222 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5981, + "step": 223 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8225, + "step": 224 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6529, + "step": 225 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6796, + "step": 226 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5937, + "step": 227 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7849, + "step": 228 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8637, + "step": 229 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7255, + "step": 230 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7026, + "step": 231 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.72, + "step": 232 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7608, + "step": 233 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6111, + "step": 234 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6461, + "step": 235 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7821, + "step": 236 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6617, + "step": 237 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.703, + "step": 238 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6998, + "step": 239 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6882, + "step": 240 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6719, + "step": 241 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7673, + "step": 242 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6299, + "step": 243 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7046, + "step": 244 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.648, + "step": 245 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8277, + "step": 246 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6474, + "step": 247 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6895, + "step": 248 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7114, + "step": 249 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5852, + "step": 250 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.732, + "step": 251 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7306, + "step": 252 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8135, + "step": 253 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6564, + "step": 254 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.837, + "step": 255 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6664, + "step": 256 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6575, + "step": 257 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8251, + "step": 258 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8432, + "step": 259 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.667, + "step": 260 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6629, + "step": 261 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6662, + "step": 262 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7222, + "step": 263 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7911, + "step": 264 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.5994, + "step": 265 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7135, + "step": 266 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8315, + "step": 267 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.5882, + "step": 268 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7202, + "step": 269 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.561, + "step": 270 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7236, + "step": 271 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6975, + "step": 272 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7764, + "step": 273 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7473, + "step": 274 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6756, + "step": 275 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6694, + "step": 276 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7919, + "step": 277 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6832, + "step": 278 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6489, + "step": 279 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8486, + "step": 280 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.832, + "step": 281 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6387, + "step": 282 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.592, + "step": 283 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6453, + "step": 284 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.751, + "step": 285 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6806, + "step": 286 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7266, + "step": 287 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8536, + "step": 288 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6573, + "step": 289 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6346, + "step": 290 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8819, + "step": 291 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6592, + "step": 292 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6427, + "step": 293 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7104, + "step": 294 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6236, + "step": 295 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.5712, + "step": 296 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6399, + "step": 297 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8104, + "step": 298 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7844, + "step": 299 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.887, + "step": 300 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7379, + "step": 301 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5748, + "step": 302 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7696, + "step": 303 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6378, + "step": 304 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5088, + "step": 305 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6444, + "step": 306 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5152, + "step": 307 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7381, + "step": 308 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7065, + "step": 309 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5301, + "step": 310 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6852, + "step": 311 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6646, + "step": 312 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6507, + "step": 313 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7246, + "step": 314 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6344, + "step": 315 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6504, + "step": 316 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6365, + "step": 317 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6636, + "step": 318 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6685, + "step": 319 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7406, + "step": 320 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.662, + "step": 321 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6903, + "step": 322 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7694, + "step": 323 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6293, + "step": 324 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7103, + "step": 325 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8745, + "step": 326 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.4777, + "step": 327 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6935, + "step": 328 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6813, + "step": 329 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6788, + "step": 330 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6835, + "step": 331 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7498, + "step": 332 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5958, + "step": 333 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5378, + "step": 334 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6314, + "step": 335 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6326, + "step": 336 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7197, + "step": 337 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6465, + "step": 338 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6166, + "step": 339 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6901, + "step": 340 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6614, + "step": 341 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7126, + "step": 342 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7241, + "step": 343 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7211, + "step": 344 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8427, + "step": 345 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8317, + "step": 346 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.4921, + "step": 347 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.602, + "step": 348 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7526, + "step": 349 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7541, + "step": 350 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.702, + "step": 351 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6369, + "step": 352 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.71, + "step": 353 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7067, + "step": 354 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7172, + "step": 355 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7921, + "step": 356 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7258, + "step": 357 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8355, + "step": 358 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7401, + "step": 359 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8881, + "step": 360 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7246, + "step": 361 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6681, + "step": 362 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.5973, + "step": 363 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.5858, + "step": 364 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7266, + "step": 365 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7617, + "step": 366 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8634, + "step": 367 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8171, + "step": 368 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6914, + "step": 369 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6371, + "step": 370 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7257, + "step": 371 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7238, + "step": 372 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6262, + "step": 373 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7033, + "step": 374 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7395, + "step": 375 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7843, + "step": 376 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6959, + "step": 377 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9614, + "step": 378 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7035, + "step": 379 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8038, + "step": 380 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5506, + "step": 381 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8534, + "step": 382 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7633, + "step": 383 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7036, + "step": 384 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7258, + "step": 385 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5646, + "step": 386 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5988, + "step": 387 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6628, + "step": 388 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6735, + "step": 389 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6903, + "step": 390 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7059, + "step": 391 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6156, + "step": 392 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6621, + "step": 393 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5314, + "step": 394 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7155, + "step": 395 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8404, + "step": 396 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7622, + "step": 397 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7688, + "step": 398 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.648, + "step": 399 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.488, + "step": 400 + }, + { + "epoch": 0.1, + "eval_loss": 0.6824774146080017, + "eval_runtime": 95.1468, + "eval_samples_per_second": 10.51, + "eval_steps_per_second": 5.255, + "step": 400 + }, + { + "epoch": 0.1, + "mmlu_eval_accuracy": 0.5881224648885633, + "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": 0.5454545454545454, + "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": 0.5, + "mmlu_eval_accuracy_econometrics": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.625, + "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.59375, + "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": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364, + "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, + "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": 0.7441860465116279, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.37, + "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_philosophy": 0.7352941176470589, + "mmlu_eval_accuracy_prehistory": 0.5714285714285714, + "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, + "mmlu_eval_accuracy_professional_law": 0.4117647058823529, + "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, + "mmlu_eval_accuracy_professional_psychology": 0.6376811594202898, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.6296296296296297, + "mmlu_eval_accuracy_sociology": 0.7727272727272727, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.4297099713012382, + "step": 400 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6895, + "step": 401 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5892, + "step": 402 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5107, + "step": 403 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6283, + "step": 404 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.562, + "step": 405 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7264, + "step": 406 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6245, + "step": 407 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.696, + "step": 408 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.749, + "step": 409 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7172, + "step": 410 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6991, + "step": 411 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8584, + "step": 412 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6207, + "step": 413 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5251, + "step": 414 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5696, + "step": 415 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.664, + "step": 416 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6096, + "step": 417 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6649, + "step": 418 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7113, + "step": 419 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5898, + "step": 420 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7025, + "step": 421 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.4703, + "step": 422 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5672, + "step": 423 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.834, + "step": 424 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6655, + "step": 425 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6936, + "step": 426 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7467, + "step": 427 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5863, + "step": 428 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.919, + "step": 429 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7066, + "step": 430 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6046, + "step": 431 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6821, + "step": 432 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6478, + "step": 433 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.604, + "step": 434 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6641, + "step": 435 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6329, + "step": 436 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6918, + "step": 437 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6216, + "step": 438 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7208, + "step": 439 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6226, + "step": 440 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6756, + "step": 441 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5551, + "step": 442 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.661, + "step": 443 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6459, + "step": 444 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5447, + "step": 445 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8029, + "step": 446 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5886, + "step": 447 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6214, + "step": 448 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7573, + "step": 449 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.4937, + "step": 450 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6315, + "step": 451 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6872, + "step": 452 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6719, + "step": 453 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6434, + "step": 454 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.882, + "step": 455 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7921, + "step": 456 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.657, + "step": 457 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.613, + "step": 458 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9572, + "step": 459 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.753, + "step": 460 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.562, + "step": 461 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7242, + "step": 462 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5071, + "step": 463 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6417, + "step": 464 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7622, + "step": 465 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6064, + "step": 466 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6344, + "step": 467 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8129, + "step": 468 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5671, + "step": 469 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6653, + "step": 470 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8753, + "step": 471 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7669, + "step": 472 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7124, + "step": 473 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5637, + "step": 474 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6063, + "step": 475 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8913, + "step": 476 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7081, + "step": 477 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6921, + "step": 478 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6802, + "step": 479 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7924, + "step": 480 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.663, + "step": 481 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8256, + "step": 482 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8907, + "step": 483 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6274, + "step": 484 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6014, + "step": 485 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7409, + "step": 486 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6689, + "step": 487 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8057, + "step": 488 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.714, + "step": 489 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7829, + "step": 490 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7454, + "step": 491 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6404, + "step": 492 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6949, + "step": 493 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7472, + "step": 494 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6409, + "step": 495 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7146, + "step": 496 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7208, + "step": 497 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6796, + "step": 498 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6793, + "step": 499 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8412, + "step": 500 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.714, + "step": 501 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6695, + "step": 502 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7764, + "step": 503 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.5901, + "step": 504 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7264, + "step": 505 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.4611, + "step": 506 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6388, + "step": 507 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7984, + "step": 508 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.5643, + "step": 509 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8223, + "step": 510 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.653, + "step": 511 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8065, + "step": 512 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8131, + "step": 513 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6669, + "step": 514 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6538, + "step": 515 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6628, + "step": 516 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7123, + "step": 517 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7038, + "step": 518 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7661, + "step": 519 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7713, + "step": 520 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6057, + "step": 521 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7759, + "step": 522 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.752, + "step": 523 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6083, + "step": 524 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.564, + "step": 525 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6842, + "step": 526 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8257, + "step": 527 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.668, + "step": 528 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8132, + "step": 529 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.691, + "step": 530 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7447, + "step": 531 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8735, + "step": 532 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8874, + "step": 533 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6187, + "step": 534 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6091, + "step": 535 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7805, + "step": 536 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7125, + "step": 537 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7744, + "step": 538 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7623, + "step": 539 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.616, + "step": 540 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5048, + "step": 541 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6342, + "step": 542 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6586, + "step": 543 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7099, + "step": 544 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7082, + "step": 545 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6549, + "step": 546 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6562, + "step": 547 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6766, + "step": 548 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8085, + "step": 549 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5737, + "step": 550 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8658, + "step": 551 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6835, + "step": 552 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6107, + "step": 553 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6473, + "step": 554 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5264, + "step": 555 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5308, + "step": 556 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7845, + "step": 557 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6702, + "step": 558 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6707, + "step": 559 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.715, + "step": 560 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8565, + "step": 561 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5826, + "step": 562 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6412, + "step": 563 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7312, + "step": 564 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6294, + "step": 565 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5465, + "step": 566 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8667, + "step": 567 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8091, + "step": 568 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7047, + "step": 569 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5156, + "step": 570 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6275, + "step": 571 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5292, + "step": 572 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.727, + "step": 573 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6511, + "step": 574 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.5755, + "step": 575 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7141, + "step": 576 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.5442, + "step": 577 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6237, + "step": 578 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6656, + "step": 579 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7612, + "step": 580 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.5665, + "step": 581 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.706, + "step": 582 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6703, + "step": 583 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.64, + "step": 584 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.5549, + "step": 585 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.5237, + "step": 586 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6167, + "step": 587 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.595, + "step": 588 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8437, + "step": 589 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7083, + "step": 590 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.849, + "step": 591 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7253, + "step": 592 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6806, + "step": 593 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6226, + "step": 594 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6413, + "step": 595 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8792, + "step": 596 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.5808, + "step": 597 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8768, + "step": 598 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8693, + "step": 599 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8851, + "step": 600 + }, + { + "epoch": 0.15, + "eval_loss": 0.681043803691864, + "eval_runtime": 95.159, + "eval_samples_per_second": 10.509, + "eval_steps_per_second": 5.254, + "step": 600 + }, + { + "epoch": 0.15, + "mmlu_eval_accuracy": 0.5878984403883732, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.8125, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.6551724137931034, + "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": 0.6363636363636364, + "mmlu_eval_accuracy_college_physics": 0.36363636363636365, + "mmlu_eval_accuracy_computer_security": 0.7272727272727273, + "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, + "mmlu_eval_accuracy_econometrics": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.625, + "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.5, + "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": 0.7142857142857143, + "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": 0.8833333333333333, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.7692307692307693, + "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": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.84, + "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": 0.34, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.7352941176470589, + "mmlu_eval_accuracy_prehistory": 0.5142857142857142, + "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, + "mmlu_eval_accuracy_professional_law": 0.4176470588235294, + "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": 0.8181818181818182, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.5582773469135593, + "step": 600 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6205, + "step": 601 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6323, + "step": 602 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6582, + "step": 603 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7214, + "step": 604 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7337, + "step": 605 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6967, + "step": 606 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.5925, + "step": 607 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7246, + "step": 608 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.5934, + "step": 609 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.5778, + "step": 610 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7097, + "step": 611 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6428, + "step": 612 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6802, + "step": 613 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8198, + "step": 614 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7251, + "step": 615 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.712, + "step": 616 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7109, + "step": 617 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6471, + "step": 618 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.5935, + "step": 619 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.5067, + "step": 620 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7164, + "step": 621 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6579, + "step": 622 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.5533, + "step": 623 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6435, + "step": 624 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.5523, + "step": 625 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.64, + "step": 626 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.5963, + "step": 627 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.5808, + "step": 628 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7357, + "step": 629 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7685, + "step": 630 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6112, + "step": 631 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.5771, + "step": 632 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6807, + "step": 633 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7864, + "step": 634 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7146, + "step": 635 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.652, + "step": 636 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8465, + "step": 637 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.5468, + "step": 638 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7368, + "step": 639 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6861, + "step": 640 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6096, + "step": 641 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.876, + "step": 642 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7318, + "step": 643 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7272, + "step": 644 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7233, + "step": 645 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.5766, + "step": 646 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8112, + "step": 647 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.509, + "step": 648 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.662, + "step": 649 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.5192, + "step": 650 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8249, + "step": 651 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8286, + "step": 652 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.726, + "step": 653 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.556, + "step": 654 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6986, + "step": 655 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8957, + "step": 656 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6839, + "step": 657 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.5587, + "step": 658 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6421, + "step": 659 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7218, + "step": 660 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6266, + "step": 661 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6571, + "step": 662 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7651, + "step": 663 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.628, + "step": 664 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7103, + "step": 665 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6629, + "step": 666 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6109, + "step": 667 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.5732, + "step": 668 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.627, + "step": 669 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.57, + "step": 670 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.589, + "step": 671 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.68, + "step": 672 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6583, + "step": 673 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6384, + "step": 674 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6129, + "step": 675 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.5543, + "step": 676 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7953, + "step": 677 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6257, + "step": 678 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.5456, + "step": 679 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.5136, + "step": 680 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.4626, + "step": 681 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7061, + "step": 682 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6561, + "step": 683 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.4717, + "step": 684 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8333, + "step": 685 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.5653, + "step": 686 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6158, + "step": 687 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6273, + "step": 688 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.5875, + "step": 689 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7503, + "step": 690 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6726, + "step": 691 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8295, + "step": 692 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7537, + "step": 693 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7053, + "step": 694 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7355, + "step": 695 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7471, + "step": 696 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6294, + "step": 697 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9196, + "step": 698 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.676, + "step": 699 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.666, + "step": 700 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6315, + "step": 701 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6036, + "step": 702 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7621, + "step": 703 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7786, + "step": 704 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7091, + "step": 705 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.5635, + "step": 706 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.5863, + "step": 707 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7182, + "step": 708 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6654, + "step": 709 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6554, + "step": 710 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6784, + "step": 711 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6425, + "step": 712 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6923, + "step": 713 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6026, + "step": 714 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6085, + "step": 715 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8186, + "step": 716 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9611, + "step": 717 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6353, + "step": 718 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6169, + "step": 719 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8306, + "step": 720 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7393, + "step": 721 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6107, + "step": 722 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6272, + "step": 723 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8137, + "step": 724 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6601, + "step": 725 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8145, + "step": 726 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7013, + "step": 727 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8615, + "step": 728 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.5397, + "step": 729 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.5877, + "step": 730 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6517, + "step": 731 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.6256, + "step": 732 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7099, + "step": 733 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.5855, + "step": 734 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8794, + "step": 735 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6913, + "step": 736 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.5675, + "step": 737 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.771, + "step": 738 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.5814, + "step": 739 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.5479, + "step": 740 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6592, + "step": 741 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6, + "step": 742 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.714, + "step": 743 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9334, + "step": 744 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.5193, + "step": 745 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.5156, + "step": 746 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7621, + "step": 747 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7085, + "step": 748 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7029, + "step": 749 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7876, + "step": 750 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6889, + "step": 751 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7157, + "step": 752 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6886, + "step": 753 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7936, + "step": 754 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8475, + "step": 755 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.5645, + "step": 756 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7286, + "step": 757 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7566, + "step": 758 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.5507, + "step": 759 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7878, + "step": 760 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6571, + "step": 761 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6373, + "step": 762 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7095, + "step": 763 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7905, + "step": 764 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.5663, + "step": 765 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.7229, + "step": 766 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.724, + "step": 767 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.581, + "step": 768 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.59, + "step": 769 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6692, + "step": 770 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8525, + "step": 771 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.6007, + "step": 772 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.5039, + "step": 773 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6594, + "step": 774 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6097, + "step": 775 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.5979, + "step": 776 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6142, + "step": 777 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6798, + "step": 778 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7565, + "step": 779 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6205, + "step": 780 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.561, + "step": 781 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6364, + "step": 782 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7985, + "step": 783 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6478, + "step": 784 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.8059, + "step": 785 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6572, + "step": 786 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7501, + "step": 787 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.5915, + "step": 788 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.746, + "step": 789 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6507, + "step": 790 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.5086, + "step": 791 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6255, + "step": 792 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6855, + "step": 793 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.5474, + "step": 794 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6299, + "step": 795 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.5785, + "step": 796 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.8113, + "step": 797 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6551, + "step": 798 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.5899, + "step": 799 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.5783, + "step": 800 + }, + { + "epoch": 0.2, + "eval_loss": 0.6814640164375305, + "eval_runtime": 95.15, + "eval_samples_per_second": 10.51, + "eval_steps_per_second": 5.255, + "step": 800 + }, + { + "epoch": 0.2, + "mmlu_eval_accuracy": 0.5718623534237226, + "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "mmlu_eval_accuracy_clinical_knowledge": 0.6551724137931034, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, + "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, + "mmlu_eval_accuracy_college_medicine": 0.6818181818181818, + "mmlu_eval_accuracy_college_physics": 0.5454545454545454, + "mmlu_eval_accuracy_computer_security": 0.5454545454545454, + "mmlu_eval_accuracy_conceptual_physics": 0.3076923076923077, + "mmlu_eval_accuracy_econometrics": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.5625, + "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "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": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333, + "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": 0.6956521739130435, + "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": 0.7222222222222222, + "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": 0.7441860465116279, + "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, + "mmlu_eval_accuracy_moral_scenarios": 0.42, + "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_philosophy": 0.7058823529411765, + "mmlu_eval_accuracy_prehistory": 0.4857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.45161290322580644, + "mmlu_eval_accuracy_professional_law": 0.4117647058823529, + "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, + "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "mmlu_eval_accuracy_sociology": 0.8181818181818182, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.2909344176010427, + "step": 800 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.5774, + "step": 801 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6501, + "step": 802 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.5551, + "step": 803 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.5957, + "step": 804 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7285, + "step": 805 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7023, + "step": 806 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6034, + "step": 807 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6814, + "step": 808 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7513, + "step": 809 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.8149, + "step": 810 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.6449, + "step": 811 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6859, + "step": 812 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6281, + "step": 813 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6829, + "step": 814 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6105, + "step": 815 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.5558, + "step": 816 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.5602, + "step": 817 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6671, + "step": 818 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.5464, + "step": 819 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.8075, + "step": 820 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.494, + "step": 821 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7568, + "step": 822 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.4953, + "step": 823 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7836, + "step": 824 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6348, + "step": 825 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.5915, + "step": 826 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6247, + "step": 827 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.71, + "step": 828 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.5769, + "step": 829 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7089, + "step": 830 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.5729, + "step": 831 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.5917, + "step": 832 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7786, + "step": 833 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.8019, + "step": 834 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6636, + "step": 835 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.8424, + "step": 836 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6754, + "step": 837 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6161, + "step": 838 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.5444, + "step": 839 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7085, + "step": 840 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7551, + "step": 841 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7299, + "step": 842 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.5431, + "step": 843 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.8355, + "step": 844 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6143, + "step": 845 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.717, + "step": 846 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.6974, + "step": 847 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7288, + "step": 848 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.8394, + "step": 849 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.657, + "step": 850 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7037, + "step": 851 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6339, + "step": 852 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6944, + "step": 853 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6828, + "step": 854 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7328, + "step": 855 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6694, + "step": 856 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8032, + "step": 857 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8131, + "step": 858 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7433, + "step": 859 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.708, + "step": 860 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7067, + "step": 861 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6297, + "step": 862 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6443, + "step": 863 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8502, + "step": 864 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.5538, + "step": 865 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7008, + "step": 866 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6653, + "step": 867 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6451, + "step": 868 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7084, + "step": 869 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8601, + "step": 870 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.5358, + "step": 871 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6718, + "step": 872 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.5517, + "step": 873 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6549, + "step": 874 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7216, + "step": 875 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7148, + "step": 876 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.5372, + "step": 877 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.5596, + "step": 878 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7043, + "step": 879 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8086, + "step": 880 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6792, + "step": 881 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6755, + "step": 882 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6847, + "step": 883 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.5338, + "step": 884 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6315, + "step": 885 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6218, + "step": 886 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6104, + "step": 887 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7548, + "step": 888 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7962, + "step": 889 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6811, + "step": 890 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.6846, + "step": 891 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7009, + "step": 892 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7878, + "step": 893 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.5538, + "step": 894 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7315, + "step": 895 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.545, + "step": 896 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6695, + "step": 897 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7398, + "step": 898 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6561, + "step": 899 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6755, + "step": 900 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6978, + "step": 901 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6664, + "step": 902 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6345, + "step": 903 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.5081, + "step": 904 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7101, + "step": 905 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.8139, + "step": 906 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6188, + "step": 907 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.776, + "step": 908 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7635, + "step": 909 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7123, + "step": 910 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6044, + "step": 911 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6356, + "step": 912 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7947, + "step": 913 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6626, + "step": 914 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6585, + "step": 915 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6067, + "step": 916 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.5847, + "step": 917 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6528, + "step": 918 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6629, + "step": 919 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.8562, + "step": 920 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.9942, + "step": 921 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.532, + "step": 922 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.635, + "step": 923 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.5158, + "step": 924 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6529, + "step": 925 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7796, + "step": 926 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6765, + "step": 927 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7806, + "step": 928 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7409, + "step": 929 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.6485, + "step": 930 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.7922, + "step": 931 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.7487, + "step": 932 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.5929, + "step": 933 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.5724, + "step": 934 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6623, + "step": 935 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6592, + "step": 936 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9501, + "step": 937 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.7094, + "step": 938 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6781, + "step": 939 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.7428, + "step": 940 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.5048, + "step": 941 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6549, + "step": 942 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.7574, + "step": 943 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8113, + "step": 944 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6498, + "step": 945 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.679, + "step": 946 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.7598, + "step": 947 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6711, + "step": 948 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.704, + "step": 949 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.5898, + "step": 950 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6985, + "step": 951 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.7167, + "step": 952 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6752, + "step": 953 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8812, + "step": 954 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8329, + "step": 955 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8951, + "step": 956 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6089, + "step": 957 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6381, + "step": 958 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.5785, + "step": 959 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.6031, + "step": 960 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.685, + "step": 961 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.7368, + "step": 962 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.7425, + "step": 963 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.7568, + "step": 964 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.59, + "step": 965 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8034, + "step": 966 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8006, + "step": 967 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.649, + "step": 968 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.5746, + "step": 969 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.7108, + "step": 970 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7106, + "step": 971 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.8254, + "step": 972 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7934, + "step": 973 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.5976, + "step": 974 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.584, + "step": 975 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.8177, + "step": 976 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7814, + "step": 977 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6409, + "step": 978 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7198, + "step": 979 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7664, + "step": 980 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7733, + "step": 981 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.5811, + "step": 982 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7983, + "step": 983 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6028, + "step": 984 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7323, + "step": 985 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6636, + "step": 986 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.8126, + "step": 987 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6339, + "step": 988 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6593, + "step": 989 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.8156, + "step": 990 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.8751, + "step": 991 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7271, + "step": 992 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.5381, + "step": 993 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6672, + "step": 994 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.5855, + "step": 995 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6891, + "step": 996 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.625, + "step": 997 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7821, + "step": 998 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6075, + "step": 999 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7901, + "step": 1000 + }, + { + "epoch": 0.25, + "eval_loss": 0.6783415675163269, + "eval_runtime": 95.1477, + "eval_samples_per_second": 10.51, + "eval_steps_per_second": 5.255, + "step": 1000 + }, + { + "epoch": 0.25, + "mmlu_eval_accuracy": 0.5781670179549979, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "mmlu_eval_accuracy_clinical_knowledge": 0.6551724137931034, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, + "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": 0.4230769230769231, + "mmlu_eval_accuracy_econometrics": 0.5833333333333334, + "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": 0.5, + "mmlu_eval_accuracy_high_school_biology": 0.59375, + "mmlu_eval_accuracy_high_school_chemistry": 0.45454545454545453, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, + "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, + "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": 0.6538461538461539, + "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, + "mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333, + "mmlu_eval_accuracy_high_school_statistics": 0.4782608695652174, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, + "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": 0.6363636363636364, + "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": 0.7209302325581395, + "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, + "mmlu_eval_accuracy_moral_scenarios": 0.45, + "mmlu_eval_accuracy_nutrition": 0.7272727272727273, + "mmlu_eval_accuracy_philosophy": 0.7352941176470589, + "mmlu_eval_accuracy_prehistory": 0.6571428571428571, + "mmlu_eval_accuracy_professional_accounting": 0.45161290322580644, + "mmlu_eval_accuracy_professional_law": 0.40588235294117647, + "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, + "mmlu_eval_accuracy_professional_psychology": 0.5652173913043478, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "mmlu_eval_accuracy_sociology": 0.8181818181818182, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.5702223767655326, + "step": 1000 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.4178, + "step": 1001 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7521, + "step": 1002 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.5872, + "step": 1003 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.616, + "step": 1004 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7318, + "step": 1005 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6551, + "step": 1006 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6483, + "step": 1007 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7553, + "step": 1008 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.8559, + "step": 1009 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6461, + "step": 1010 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.5396, + "step": 1011 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.704, + "step": 1012 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.5942, + "step": 1013 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.5126, + "step": 1014 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6877, + "step": 1015 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7196, + "step": 1016 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6102, + "step": 1017 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6466, + "step": 1018 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7637, + "step": 1019 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6783, + "step": 1020 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6411, + "step": 1021 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.8718, + "step": 1022 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6924, + "step": 1023 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6565, + "step": 1024 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6505, + "step": 1025 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7003, + "step": 1026 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.5941, + "step": 1027 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.8446, + "step": 1028 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7758, + "step": 1029 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.5144, + "step": 1030 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6016, + "step": 1031 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.662, + "step": 1032 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.8138, + "step": 1033 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.5986, + "step": 1034 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7452, + "step": 1035 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6334, + "step": 1036 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6838, + "step": 1037 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.688, + "step": 1038 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.8521, + "step": 1039 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6475, + "step": 1040 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.5702, + "step": 1041 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7083, + "step": 1042 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6892, + "step": 1043 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6212, + "step": 1044 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7381, + "step": 1045 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6538, + "step": 1046 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.8723, + "step": 1047 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.7057, + "step": 1048 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.6756, + "step": 1049 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6432, + "step": 1050 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.7659, + "step": 1051 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.7459, + "step": 1052 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.8781, + "step": 1053 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.5563, + "step": 1054 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6812, + "step": 1055 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.7508, + "step": 1056 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6517, + "step": 1057 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6956, + "step": 1058 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6634, + "step": 1059 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.5722, + "step": 1060 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6465, + "step": 1061 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.4969, + "step": 1062 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.7337, + "step": 1063 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.7077, + "step": 1064 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6847, + "step": 1065 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.7267, + "step": 1066 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.7071, + "step": 1067 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6834, + "step": 1068 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.5257, + "step": 1069 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6401, + "step": 1070 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.7475, + "step": 1071 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.7421, + "step": 1072 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.5583, + "step": 1073 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.546, + "step": 1074 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6784, + "step": 1075 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.7254, + "step": 1076 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.7964, + "step": 1077 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.7922, + "step": 1078 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.5688, + "step": 1079 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.5533, + "step": 1080 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.528, + "step": 1081 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.5794, + "step": 1082 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.8378, + "step": 1083 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.5867, + "step": 1084 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.5639, + "step": 1085 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.7968, + "step": 1086 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.7544, + "step": 1087 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6913, + "step": 1088 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.6357, + "step": 1089 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.5657, + "step": 1090 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7251, + "step": 1091 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.5727, + "step": 1092 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.5261, + "step": 1093 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7335, + "step": 1094 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6449, + "step": 1095 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.5099, + "step": 1096 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.8349, + "step": 1097 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6444, + "step": 1098 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7729, + "step": 1099 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7279, + "step": 1100 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.5876, + "step": 1101 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7594, + "step": 1102 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7731, + "step": 1103 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6374, + "step": 1104 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.8135, + "step": 1105 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6488, + "step": 1106 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.5284, + "step": 1107 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6573, + "step": 1108 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.9389, + "step": 1109 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6299, + "step": 1110 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7358, + "step": 1111 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7871, + "step": 1112 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6376, + "step": 1113 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7207, + "step": 1114 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6644, + "step": 1115 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7012, + "step": 1116 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.817, + "step": 1117 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7232, + "step": 1118 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.5842, + "step": 1119 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6259, + "step": 1120 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.838, + "step": 1121 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6278, + "step": 1122 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6918, + "step": 1123 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7709, + "step": 1124 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.501, + "step": 1125 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7975, + "step": 1126 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.7706, + "step": 1127 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.5354, + "step": 1128 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.659, + "step": 1129 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7308, + "step": 1130 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.727, + "step": 1131 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6271, + "step": 1132 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.5606, + "step": 1133 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6604, + "step": 1134 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7064, + "step": 1135 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7509, + "step": 1136 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.5428, + "step": 1137 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6304, + "step": 1138 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.734, + "step": 1139 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7115, + "step": 1140 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6779, + "step": 1141 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6508, + "step": 1142 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6691, + "step": 1143 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7027, + "step": 1144 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.9717, + "step": 1145 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.8002, + "step": 1146 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7993, + "step": 1147 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.5896, + "step": 1148 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.5451, + "step": 1149 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6826, + "step": 1150 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6431, + "step": 1151 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7518, + "step": 1152 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7049, + "step": 1153 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7328, + "step": 1154 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7074, + "step": 1155 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6761, + "step": 1156 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7031, + "step": 1157 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6714, + "step": 1158 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7035, + "step": 1159 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.8179, + "step": 1160 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6302, + "step": 1161 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7259, + "step": 1162 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7118, + "step": 1163 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.663, + "step": 1164 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.5841, + "step": 1165 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.5251, + "step": 1166 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7426, + "step": 1167 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.7626, + "step": 1168 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.7355, + "step": 1169 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6213, + "step": 1170 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.771, + "step": 1171 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.4565, + "step": 1172 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6992, + "step": 1173 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.666, + "step": 1174 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.7834, + "step": 1175 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6922, + "step": 1176 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6454, + "step": 1177 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6883, + "step": 1178 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.736, + "step": 1179 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.7899, + "step": 1180 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.5996, + "step": 1181 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.8246, + "step": 1182 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.5117, + "step": 1183 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6604, + "step": 1184 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.551, + "step": 1185 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.7452, + "step": 1186 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6707, + "step": 1187 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6617, + "step": 1188 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6433, + "step": 1189 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.7825, + "step": 1190 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.7608, + "step": 1191 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.4809, + "step": 1192 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6516, + "step": 1193 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.697, + "step": 1194 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.8099, + "step": 1195 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.679, + "step": 1196 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.5954, + "step": 1197 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6277, + "step": 1198 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6053, + "step": 1199 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.9202, + "step": 1200 + }, + { + "epoch": 0.3, + "eval_loss": 0.6810036897659302, + "eval_runtime": 95.1388, + "eval_samples_per_second": 10.511, + "eval_steps_per_second": 5.255, + "step": 1200 + }, + { + "epoch": 0.3, + "mmlu_eval_accuracy": 0.5835316288493765, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5, + "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": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, + "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": 0.5625, + "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": 0.59375, + "mmlu_eval_accuracy_high_school_chemistry": 0.5, + "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": 0.7619047619047619, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333, + "mmlu_eval_accuracy_high_school_statistics": 0.4782608695652174, + "mmlu_eval_accuracy_high_school_us_history": 0.8181818181818182, + "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": 0.8461538461538461, + "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.3, + "mmlu_eval_accuracy_nutrition": 0.7272727272727273, + "mmlu_eval_accuracy_philosophy": 0.7352941176470589, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.45161290322580644, + "mmlu_eval_accuracy_professional_law": 0.4176470588235294, + "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, + "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, + "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": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 1.4905778135394303, + "step": 1200 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.4869, + "step": 1201 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6106, + "step": 1202 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.7206, + "step": 1203 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.5812, + "step": 1204 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6733, + "step": 1205 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6037, + "step": 1206 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.795, + "step": 1207 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6246, + "step": 1208 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.5548, + "step": 1209 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7196, + "step": 1210 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6866, + "step": 1211 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6209, + "step": 1212 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.8557, + "step": 1213 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6876, + "step": 1214 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6158, + "step": 1215 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6297, + "step": 1216 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6491, + "step": 1217 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6287, + "step": 1218 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6252, + "step": 1219 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6873, + "step": 1220 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.5911, + "step": 1221 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7319, + "step": 1222 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7247, + "step": 1223 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7145, + "step": 1224 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6329, + "step": 1225 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.8183, + "step": 1226 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.5551, + "step": 1227 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7597, + "step": 1228 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.5595, + "step": 1229 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7961, + "step": 1230 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.5489, + "step": 1231 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6431, + "step": 1232 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.5588, + "step": 1233 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6952, + "step": 1234 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.5138, + "step": 1235 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 1.0259, + "step": 1236 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.8318, + "step": 1237 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6335, + "step": 1238 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6826, + "step": 1239 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6166, + "step": 1240 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6465, + "step": 1241 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7506, + "step": 1242 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.591, + "step": 1243 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.6649, + "step": 1244 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.656, + "step": 1245 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7114, + "step": 1246 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.7832, + "step": 1247 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.5856, + "step": 1248 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6836, + "step": 1249 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6333, + "step": 1250 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.5042, + "step": 1251 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6866, + "step": 1252 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6668, + "step": 1253 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6552, + "step": 1254 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6977, + "step": 1255 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6037, + "step": 1256 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.832, + "step": 1257 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.5273, + "step": 1258 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.7386, + "step": 1259 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.653, + "step": 1260 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.614, + "step": 1261 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.7628, + "step": 1262 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6201, + "step": 1263 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.5516, + "step": 1264 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6991, + "step": 1265 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.7061, + "step": 1266 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6749, + "step": 1267 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.7053, + "step": 1268 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.5797, + "step": 1269 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.5091, + "step": 1270 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.765, + "step": 1271 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6029, + "step": 1272 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.698, + "step": 1273 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.5742, + "step": 1274 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6863, + "step": 1275 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6265, + "step": 1276 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.5899, + "step": 1277 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.651, + "step": 1278 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.4986, + "step": 1279 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.4805, + "step": 1280 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6132, + "step": 1281 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6219, + "step": 1282 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.6066, + "step": 1283 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.654, + "step": 1284 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 1.0051, + "step": 1285 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.7104, + "step": 1286 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.688, + "step": 1287 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6253, + "step": 1288 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6587, + "step": 1289 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6534, + "step": 1290 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.689, + "step": 1291 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.581, + "step": 1292 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6055, + "step": 1293 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6293, + "step": 1294 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6579, + "step": 1295 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6064, + "step": 1296 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.8304, + "step": 1297 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6481, + "step": 1298 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.9089, + "step": 1299 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6888, + "step": 1300 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7876, + "step": 1301 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.8088, + "step": 1302 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6945, + "step": 1303 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7504, + "step": 1304 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.587, + "step": 1305 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6287, + "step": 1306 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7266, + "step": 1307 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6007, + "step": 1308 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.5811, + "step": 1309 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7011, + "step": 1310 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6284, + "step": 1311 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7451, + "step": 1312 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7239, + "step": 1313 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6076, + "step": 1314 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6834, + "step": 1315 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.923, + "step": 1316 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6306, + "step": 1317 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.5123, + "step": 1318 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.8825, + "step": 1319 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.5398, + "step": 1320 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6495, + "step": 1321 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.7782, + "step": 1322 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.6466, + "step": 1323 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.638, + "step": 1324 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.5186, + "step": 1325 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.9118, + "step": 1326 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.785, + "step": 1327 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.4935, + "step": 1328 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6682, + "step": 1329 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.5597, + "step": 1330 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.8567, + "step": 1331 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6107, + "step": 1332 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.5862, + "step": 1333 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.5815, + "step": 1334 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6833, + "step": 1335 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7655, + "step": 1336 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6823, + "step": 1337 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6354, + "step": 1338 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6277, + "step": 1339 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6497, + "step": 1340 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7002, + "step": 1341 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6133, + "step": 1342 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6416, + "step": 1343 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6842, + "step": 1344 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7123, + "step": 1345 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.8271, + "step": 1346 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6666, + "step": 1347 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.9504, + "step": 1348 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6371, + "step": 1349 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7634, + "step": 1350 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7303, + "step": 1351 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7097, + "step": 1352 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7529, + "step": 1353 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6999, + "step": 1354 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6651, + "step": 1355 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.8141, + "step": 1356 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6434, + "step": 1357 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6283, + "step": 1358 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6363, + "step": 1359 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6928, + "step": 1360 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7166, + "step": 1361 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.7651, + "step": 1362 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6434, + "step": 1363 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.818, + "step": 1364 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.6078, + "step": 1365 + }, + { + "epoch": 0.34, + "learning_rate": 0.0002, + "loss": 0.8025, + "step": 1366 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.5485, + "step": 1367 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7229, + "step": 1368 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.5957, + "step": 1369 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6588, + "step": 1370 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.8135, + "step": 1371 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7023, + "step": 1372 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.8324, + "step": 1373 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.5689, + "step": 1374 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6604, + "step": 1375 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.8498, + "step": 1376 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6137, + "step": 1377 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.5773, + "step": 1378 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.5678, + "step": 1379 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7223, + "step": 1380 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7931, + "step": 1381 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.663, + "step": 1382 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.544, + "step": 1383 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.5807, + "step": 1384 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.5492, + "step": 1385 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.5977, + "step": 1386 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6476, + "step": 1387 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6748, + "step": 1388 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.5966, + "step": 1389 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7089, + "step": 1390 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6423, + "step": 1391 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7271, + "step": 1392 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6728, + "step": 1393 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.5751, + "step": 1394 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7131, + "step": 1395 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7541, + "step": 1396 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.6335, + "step": 1397 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.485, + "step": 1398 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.5439, + "step": 1399 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.8242, + "step": 1400 + }, + { + "epoch": 0.35, + "eval_loss": 0.6763028502464294, + "eval_runtime": 95.1986, + "eval_samples_per_second": 10.504, + "eval_steps_per_second": 5.252, + "step": 1400 + }, + { + "epoch": 0.35, + "mmlu_eval_accuracy": 0.5928269312851382, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, + "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": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.6818181818181818, + "mmlu_eval_accuracy_college_physics": 0.5454545454545454, + "mmlu_eval_accuracy_computer_security": 0.7272727272727273, + "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, + "mmlu_eval_accuracy_econometrics": 0.5833333333333334, + "mmlu_eval_accuracy_electrical_engineering": 0.625, + "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.65625, + "mmlu_eval_accuracy_high_school_chemistry": 0.5, + "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": 0.7619047619047619, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6923076923076923, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.85, + "mmlu_eval_accuracy_high_school_statistics": 0.5217391304347826, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "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": 0.6363636363636364, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.8, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, + "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, + "mmlu_eval_accuracy_moral_scenarios": 0.29, + "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_philosophy": 0.7647058823529411, + "mmlu_eval_accuracy_prehistory": 0.6, + "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, + "mmlu_eval_accuracy_professional_law": 0.40588235294117647, + "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, + "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": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.068820786129868, + "step": 1400 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7123, + "step": 1401 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.8586, + "step": 1402 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7008, + "step": 1403 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.5463, + "step": 1404 + }, + { + "epoch": 0.35, + "learning_rate": 0.0002, + "loss": 0.7016, + "step": 1405 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.9149, + "step": 1406 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.648, + "step": 1407 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7486, + "step": 1408 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.9659, + "step": 1409 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6306, + "step": 1410 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.5963, + "step": 1411 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6742, + "step": 1412 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7589, + "step": 1413 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7624, + "step": 1414 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7427, + "step": 1415 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6752, + "step": 1416 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6513, + "step": 1417 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.671, + "step": 1418 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.8551, + "step": 1419 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7698, + "step": 1420 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.5619, + "step": 1421 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.9796, + "step": 1422 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.9814, + "step": 1423 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7682, + "step": 1424 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6395, + "step": 1425 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7626, + "step": 1426 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7214, + "step": 1427 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.5875, + "step": 1428 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.5905, + "step": 1429 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.8514, + "step": 1430 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6642, + "step": 1431 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6829, + "step": 1432 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6224, + "step": 1433 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6831, + "step": 1434 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.4386, + "step": 1435 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6397, + "step": 1436 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.5813, + "step": 1437 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6845, + "step": 1438 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.776, + "step": 1439 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7445, + "step": 1440 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6348, + "step": 1441 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.6444, + "step": 1442 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.8426, + "step": 1443 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.8569, + "step": 1444 + }, + { + "epoch": 0.36, + "learning_rate": 0.0002, + "loss": 0.7301, + "step": 1445 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.6228, + "step": 1446 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7046, + "step": 1447 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.6215, + "step": 1448 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7992, + "step": 1449 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7325, + "step": 1450 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.5559, + "step": 1451 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7234, + "step": 1452 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7319, + "step": 1453 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8941, + "step": 1454 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.5415, + "step": 1455 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7494, + "step": 1456 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7, + "step": 1457 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7289, + "step": 1458 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.5516, + "step": 1459 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8125, + "step": 1460 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.6173, + "step": 1461 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.6903, + "step": 1462 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.6911, + "step": 1463 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.6122, + "step": 1464 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7473, + "step": 1465 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7449, + "step": 1466 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7454, + "step": 1467 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7089, + "step": 1468 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.6924, + "step": 1469 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.5407, + "step": 1470 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.6829, + "step": 1471 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7741, + "step": 1472 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7907, + "step": 1473 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.6278, + "step": 1474 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8882, + "step": 1475 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7315, + "step": 1476 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8387, + "step": 1477 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.8063, + "step": 1478 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.6493, + "step": 1479 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7074, + "step": 1480 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.6814, + "step": 1481 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.7007, + "step": 1482 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.5917, + "step": 1483 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.69, + "step": 1484 + }, + { + "epoch": 0.37, + "learning_rate": 0.0002, + "loss": 0.6181, + "step": 1485 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6287, + "step": 1486 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.5754, + "step": 1487 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.7362, + "step": 1488 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6211, + "step": 1489 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.7497, + "step": 1490 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.7226, + "step": 1491 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6419, + "step": 1492 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.7795, + "step": 1493 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6344, + "step": 1494 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.5306, + "step": 1495 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.5419, + "step": 1496 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.5432, + "step": 1497 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.8415, + "step": 1498 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.8568, + "step": 1499 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6128, + "step": 1500 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.5723, + "step": 1501 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.875, + "step": 1502 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.565, + "step": 1503 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.7518, + "step": 1504 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.7786, + "step": 1505 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.8337, + "step": 1506 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.5973, + "step": 1507 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.7215, + "step": 1508 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.8459, + "step": 1509 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.4917, + "step": 1510 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6404, + "step": 1511 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6661, + "step": 1512 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6922, + "step": 1513 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.591, + "step": 1514 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.5569, + "step": 1515 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6405, + "step": 1516 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.5325, + "step": 1517 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6879, + "step": 1518 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6298, + "step": 1519 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.7238, + "step": 1520 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.6165, + "step": 1521 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.8023, + "step": 1522 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.7255, + "step": 1523 + }, + { + "epoch": 0.38, + "learning_rate": 0.0002, + "loss": 0.7962, + "step": 1524 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.5684, + "step": 1525 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7061, + "step": 1526 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.5644, + "step": 1527 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6378, + "step": 1528 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6215, + "step": 1529 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6649, + "step": 1530 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.4645, + "step": 1531 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6741, + "step": 1532 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7396, + "step": 1533 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7032, + "step": 1534 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.679, + "step": 1535 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7769, + "step": 1536 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7362, + "step": 1537 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.4503, + "step": 1538 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.574, + "step": 1539 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6546, + "step": 1540 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6171, + "step": 1541 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.5444, + "step": 1542 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7572, + "step": 1543 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6303, + "step": 1544 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7493, + "step": 1545 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.5565, + "step": 1546 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.5058, + "step": 1547 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.5971, + "step": 1548 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.5321, + "step": 1549 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6629, + "step": 1550 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6316, + "step": 1551 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.5542, + "step": 1552 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.4855, + "step": 1553 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.9305, + "step": 1554 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6897, + "step": 1555 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.555, + "step": 1556 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.789, + "step": 1557 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.8705, + "step": 1558 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.8613, + "step": 1559 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.6565, + "step": 1560 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.775, + "step": 1561 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.5479, + "step": 1562 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.8478, + "step": 1563 + }, + { + "epoch": 0.39, + "learning_rate": 0.0002, + "loss": 0.7877, + "step": 1564 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7234, + "step": 1565 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7577, + "step": 1566 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6351, + "step": 1567 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7014, + "step": 1568 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7995, + "step": 1569 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6001, + "step": 1570 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7514, + "step": 1571 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.4643, + "step": 1572 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7343, + "step": 1573 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7795, + "step": 1574 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6479, + "step": 1575 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.5017, + "step": 1576 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.5617, + "step": 1577 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7415, + "step": 1578 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.8119, + "step": 1579 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.573, + "step": 1580 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6875, + "step": 1581 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6311, + "step": 1582 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.75, + "step": 1583 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.5258, + "step": 1584 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6321, + "step": 1585 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7991, + "step": 1586 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.5944, + "step": 1587 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7771, + "step": 1588 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.5016, + "step": 1589 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.5534, + "step": 1590 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.5299, + "step": 1591 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6108, + "step": 1592 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7319, + "step": 1593 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.5103, + "step": 1594 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7235, + "step": 1595 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6555, + "step": 1596 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.8232, + "step": 1597 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.7147, + "step": 1598 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.8491, + "step": 1599 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6263, + "step": 1600 + }, + { + "epoch": 0.4, + "eval_loss": 0.6742715835571289, + "eval_runtime": 95.4204, + "eval_samples_per_second": 10.48, + "eval_steps_per_second": 5.24, + "step": 1600 + }, + { + "epoch": 0.4, + "mmlu_eval_accuracy": 0.5904288436970693, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "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": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, + "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.7272727272727273, + "mmlu_eval_accuracy_college_physics": 0.5454545454545454, + "mmlu_eval_accuracy_computer_security": 0.7272727272727273, + "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, + "mmlu_eval_accuracy_econometrics": 0.5833333333333334, + "mmlu_eval_accuracy_electrical_engineering": 0.6875, + "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "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": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.85, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.5833333333333334, + "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": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.8, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, + "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, + "mmlu_eval_accuracy_moral_scenarios": 0.3, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.7352941176470589, + "mmlu_eval_accuracy_prehistory": 0.5714285714285714, + "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, + "mmlu_eval_accuracy_professional_law": 0.38823529411764707, + "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, + "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.7037037037037037, + "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": 0.6842105263157895, + "mmlu_loss": 1.417852375393748, + "step": 1600 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6739, + "step": 1601 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.5907, + "step": 1602 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.6025, + "step": 1603 + }, + { + "epoch": 0.4, + "learning_rate": 0.0002, + "loss": 0.8359, + "step": 1604 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6212, + "step": 1605 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6895, + "step": 1606 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6086, + "step": 1607 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6656, + "step": 1608 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.5559, + "step": 1609 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.5081, + "step": 1610 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6871, + "step": 1611 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7111, + "step": 1612 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6045, + "step": 1613 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6843, + "step": 1614 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7277, + "step": 1615 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6223, + "step": 1616 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7961, + "step": 1617 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.5894, + "step": 1618 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6822, + "step": 1619 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6114, + "step": 1620 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.5343, + "step": 1621 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7038, + "step": 1622 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.5587, + "step": 1623 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.654, + "step": 1624 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.8302, + "step": 1625 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.5111, + "step": 1626 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7211, + "step": 1627 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.748, + "step": 1628 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6442, + "step": 1629 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.574, + "step": 1630 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.9152, + "step": 1631 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.5483, + "step": 1632 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6829, + "step": 1633 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6519, + "step": 1634 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7144, + "step": 1635 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6176, + "step": 1636 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7047, + "step": 1637 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6238, + "step": 1638 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6906, + "step": 1639 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6553, + "step": 1640 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.7217, + "step": 1641 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.6985, + "step": 1642 + }, + { + "epoch": 0.41, + "learning_rate": 0.0002, + "loss": 0.8796, + "step": 1643 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.689, + "step": 1644 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.5618, + "step": 1645 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7417, + "step": 1646 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.9476, + "step": 1647 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7202, + "step": 1648 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.659, + "step": 1649 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.8316, + "step": 1650 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.5658, + "step": 1651 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7294, + "step": 1652 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7533, + "step": 1653 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.5264, + "step": 1654 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.6798, + "step": 1655 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.6239, + "step": 1656 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.817, + "step": 1657 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.5395, + "step": 1658 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.581, + "step": 1659 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.5922, + "step": 1660 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7211, + "step": 1661 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.6053, + "step": 1662 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.5919, + "step": 1663 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.6302, + "step": 1664 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.6743, + "step": 1665 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.6232, + "step": 1666 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7613, + "step": 1667 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.5934, + "step": 1668 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.5852, + "step": 1669 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7437, + "step": 1670 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.6923, + "step": 1671 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.723, + "step": 1672 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7975, + "step": 1673 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7221, + "step": 1674 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7192, + "step": 1675 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.5606, + "step": 1676 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.5837, + "step": 1677 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.6721, + "step": 1678 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.5981, + "step": 1679 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7573, + "step": 1680 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.7878, + "step": 1681 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.6289, + "step": 1682 + }, + { + "epoch": 0.42, + "learning_rate": 0.0002, + "loss": 0.6903, + "step": 1683 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.751, + "step": 1684 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8784, + "step": 1685 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6719, + "step": 1686 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8225, + "step": 1687 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.5966, + "step": 1688 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6819, + "step": 1689 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8211, + "step": 1690 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6145, + "step": 1691 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6512, + "step": 1692 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6229, + "step": 1693 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.7295, + "step": 1694 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6335, + "step": 1695 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.4843, + "step": 1696 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.5813, + "step": 1697 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.7032, + "step": 1698 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6256, + "step": 1699 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6058, + "step": 1700 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6685, + "step": 1701 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.9353, + "step": 1702 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.7002, + "step": 1703 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.904, + "step": 1704 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6184, + "step": 1705 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6569, + "step": 1706 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.7556, + "step": 1707 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.5442, + "step": 1708 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6379, + "step": 1709 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6, + "step": 1710 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.7463, + "step": 1711 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6717, + "step": 1712 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6824, + "step": 1713 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.5618, + "step": 1714 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.7616, + "step": 1715 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.668, + "step": 1716 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.8278, + "step": 1717 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.5714, + "step": 1718 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.5439, + "step": 1719 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.7888, + "step": 1720 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.5545, + "step": 1721 + }, + { + "epoch": 0.43, + "learning_rate": 0.0002, + "loss": 0.6516, + "step": 1722 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.7226, + "step": 1723 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.7309, + "step": 1724 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6535, + "step": 1725 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.8032, + "step": 1726 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.7418, + "step": 1727 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6271, + "step": 1728 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.7652, + "step": 1729 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6814, + "step": 1730 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6327, + "step": 1731 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6835, + "step": 1732 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.7343, + "step": 1733 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.5468, + "step": 1734 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.8223, + "step": 1735 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6898, + "step": 1736 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6711, + "step": 1737 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6736, + "step": 1738 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.7673, + "step": 1739 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6041, + "step": 1740 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.7886, + "step": 1741 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.7837, + "step": 1742 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.8928, + "step": 1743 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.4927, + "step": 1744 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6644, + "step": 1745 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.511, + "step": 1746 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.5277, + "step": 1747 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.5792, + "step": 1748 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.7005, + "step": 1749 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6709, + "step": 1750 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6984, + "step": 1751 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.7272, + "step": 1752 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.5001, + "step": 1753 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.5811, + "step": 1754 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.8297, + "step": 1755 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6067, + "step": 1756 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6652, + "step": 1757 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.8102, + "step": 1758 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6187, + "step": 1759 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.5704, + "step": 1760 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.5859, + "step": 1761 + }, + { + "epoch": 0.44, + "learning_rate": 0.0002, + "loss": 0.6415, + "step": 1762 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6704, + "step": 1763 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.5489, + "step": 1764 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.7785, + "step": 1765 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.7813, + "step": 1766 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.7178, + "step": 1767 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6422, + "step": 1768 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6324, + "step": 1769 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.7641, + "step": 1770 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6626, + "step": 1771 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6496, + "step": 1772 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.5581, + "step": 1773 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6871, + "step": 1774 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.5056, + "step": 1775 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6812, + "step": 1776 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.5305, + "step": 1777 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.5857, + "step": 1778 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6834, + "step": 1779 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.7146, + "step": 1780 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6783, + "step": 1781 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.5351, + "step": 1782 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.7311, + "step": 1783 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.7314, + "step": 1784 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6108, + "step": 1785 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6968, + "step": 1786 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.8168, + "step": 1787 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6362, + "step": 1788 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.5561, + "step": 1789 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.8005, + "step": 1790 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.761, + "step": 1791 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.8044, + "step": 1792 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.7041, + "step": 1793 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6716, + "step": 1794 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6432, + "step": 1795 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.4929, + "step": 1796 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6162, + "step": 1797 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.9111, + "step": 1798 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.7436, + "step": 1799 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.8498, + "step": 1800 + }, + { + "epoch": 0.45, + "eval_loss": 0.675375759601593, + "eval_runtime": 95.1795, + "eval_samples_per_second": 10.506, + "eval_steps_per_second": 5.253, + "step": 1800 + }, + { + "epoch": 0.45, + "mmlu_eval_accuracy": 0.5844792103292685, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, + "mmlu_eval_accuracy_college_biology": 0.6875, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, + "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, + "mmlu_eval_accuracy_college_physics": 0.5454545454545454, + "mmlu_eval_accuracy_computer_security": 0.7272727272727273, + "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, + "mmlu_eval_accuracy_econometrics": 0.5833333333333334, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, + "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": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, + "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, + "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.5217391304347826, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.7692307692307693, + "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": 0.6363636363636364, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7674418604651163, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.39, + "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_philosophy": 0.6470588235294118, + "mmlu_eval_accuracy_prehistory": 0.6285714285714286, + "mmlu_eval_accuracy_professional_accounting": 0.45161290322580644, + "mmlu_eval_accuracy_professional_law": 0.4, + "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, + "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5185185185185185, + "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": 0.6842105263157895, + "mmlu_loss": 1.3477766502930664, + "step": 1800 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.763, + "step": 1801 + }, + { + "epoch": 0.45, + "learning_rate": 0.0002, + "loss": 0.6749, + "step": 1802 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.5777, + "step": 1803 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.5404, + "step": 1804 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6334, + "step": 1805 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6326, + "step": 1806 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.8011, + "step": 1807 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6579, + "step": 1808 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.5348, + "step": 1809 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.5898, + "step": 1810 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.5899, + "step": 1811 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.5461, + "step": 1812 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6705, + "step": 1813 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6583, + "step": 1814 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.8086, + "step": 1815 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7304, + "step": 1816 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.699, + "step": 1817 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6889, + "step": 1818 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7355, + "step": 1819 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6371, + "step": 1820 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7125, + "step": 1821 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6133, + "step": 1822 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7757, + "step": 1823 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6744, + "step": 1824 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6501, + "step": 1825 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7527, + "step": 1826 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6657, + "step": 1827 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6249, + "step": 1828 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.5569, + "step": 1829 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7937, + "step": 1830 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.8631, + "step": 1831 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6154, + "step": 1832 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.5064, + "step": 1833 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.6148, + "step": 1834 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.5033, + "step": 1835 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7093, + "step": 1836 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7531, + "step": 1837 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.4838, + "step": 1838 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.7685, + "step": 1839 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.891, + "step": 1840 + }, + { + "epoch": 0.46, + "learning_rate": 0.0002, + "loss": 0.5927, + "step": 1841 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6707, + "step": 1842 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.8495, + "step": 1843 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.4973, + "step": 1844 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6026, + "step": 1845 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6032, + "step": 1846 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.5539, + "step": 1847 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.584, + "step": 1848 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.8018, + "step": 1849 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.7588, + "step": 1850 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6409, + "step": 1851 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6598, + "step": 1852 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6294, + "step": 1853 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.8606, + "step": 1854 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.7461, + "step": 1855 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.7502, + "step": 1856 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.7898, + "step": 1857 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6355, + "step": 1858 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6927, + "step": 1859 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.7318, + "step": 1860 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.7651, + "step": 1861 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.5492, + "step": 1862 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6416, + "step": 1863 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6586, + "step": 1864 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.8316, + "step": 1865 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.8797, + "step": 1866 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.5282, + "step": 1867 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6993, + "step": 1868 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.7019, + "step": 1869 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6398, + "step": 1870 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6489, + "step": 1871 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.5339, + "step": 1872 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.5918, + "step": 1873 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.637, + "step": 1874 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.822, + "step": 1875 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.9305, + "step": 1876 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.8892, + "step": 1877 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.6268, + "step": 1878 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.746, + "step": 1879 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.7565, + "step": 1880 + }, + { + "epoch": 0.47, + "learning_rate": 0.0002, + "loss": 0.72, + "step": 1881 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.7428, + "step": 1882 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.8667, + "step": 1883 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.5639, + "step": 1884 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.8145, + "step": 1885 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6964, + "step": 1886 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6425, + "step": 1887 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.9174, + "step": 1888 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.7927, + "step": 1889 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.685, + "step": 1890 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6974, + "step": 1891 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.564, + "step": 1892 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.7669, + "step": 1893 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.544, + "step": 1894 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.5896, + "step": 1895 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6831, + "step": 1896 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.7551, + "step": 1897 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.7913, + "step": 1898 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6182, + "step": 1899 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.8189, + "step": 1900 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6516, + "step": 1901 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6124, + "step": 1902 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.5902, + "step": 1903 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.5471, + "step": 1904 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.834, + "step": 1905 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6242, + "step": 1906 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6723, + "step": 1907 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.7154, + "step": 1908 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.5348, + "step": 1909 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6251, + "step": 1910 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.9219, + "step": 1911 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.5294, + "step": 1912 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6845, + "step": 1913 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.7956, + "step": 1914 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6131, + "step": 1915 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.774, + "step": 1916 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.7375, + "step": 1917 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.635, + "step": 1918 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6369, + "step": 1919 + }, + { + "epoch": 0.48, + "learning_rate": 0.0002, + "loss": 0.6206, + "step": 1920 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.5837, + "step": 1921 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.8005, + "step": 1922 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6414, + "step": 1923 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6071, + "step": 1924 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.7184, + "step": 1925 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6012, + "step": 1926 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6106, + "step": 1927 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.7623, + "step": 1928 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.848, + "step": 1929 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6, + "step": 1930 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6261, + "step": 1931 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.9275, + "step": 1932 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.8496, + "step": 1933 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.9116, + "step": 1934 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.7033, + "step": 1935 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6518, + "step": 1936 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.7423, + "step": 1937 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.9016, + "step": 1938 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.7308, + "step": 1939 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.4924, + "step": 1940 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.7272, + "step": 1941 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.4522, + "step": 1942 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6912, + "step": 1943 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.5787, + "step": 1944 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.9385, + "step": 1945 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.8243, + "step": 1946 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6134, + "step": 1947 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.5227, + "step": 1948 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6886, + "step": 1949 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.5023, + "step": 1950 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6133, + "step": 1951 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.4964, + "step": 1952 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.4932, + "step": 1953 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6581, + "step": 1954 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.8195, + "step": 1955 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.7875, + "step": 1956 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.6391, + "step": 1957 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.5012, + "step": 1958 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.7269, + "step": 1959 + }, + { + "epoch": 0.49, + "learning_rate": 0.0002, + "loss": 0.624, + "step": 1960 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6576, + "step": 1961 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6154, + "step": 1962 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7488, + "step": 1963 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7618, + "step": 1964 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7149, + "step": 1965 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6382, + "step": 1966 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7547, + "step": 1967 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.615, + "step": 1968 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.8206, + "step": 1969 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.616, + "step": 1970 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.5619, + "step": 1971 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7688, + "step": 1972 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7736, + "step": 1973 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7971, + "step": 1974 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6769, + "step": 1975 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6234, + "step": 1976 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6554, + "step": 1977 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6339, + "step": 1978 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6109, + "step": 1979 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.5656, + "step": 1980 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.8038, + "step": 1981 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6932, + "step": 1982 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.558, + "step": 1983 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.8572, + "step": 1984 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.8088, + "step": 1985 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.8464, + "step": 1986 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6448, + "step": 1987 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.4563, + "step": 1988 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6678, + "step": 1989 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.5947, + "step": 1990 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6375, + "step": 1991 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7334, + "step": 1992 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.4072, + "step": 1993 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6412, + "step": 1994 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6256, + "step": 1995 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.6624, + "step": 1996 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.4938, + "step": 1997 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.5829, + "step": 1998 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.8084, + "step": 1999 + }, + { + "epoch": 0.5, + "learning_rate": 0.0002, + "loss": 0.7324, + "step": 2000 + }, + { + "epoch": 0.5, + "eval_loss": 0.674319326877594, + "eval_runtime": 95.0613, + "eval_samples_per_second": 10.52, + "eval_steps_per_second": 5.26, + "step": 2000 + }, + { + "epoch": 0.5, + "mmlu_eval_accuracy": 0.5784128865140474, + "mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "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": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, + "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": 0.5833333333333334, + "mmlu_eval_accuracy_electrical_engineering": 0.5625, + "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": 0.3181818181818182, + "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": 0.7619047619047619, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.4883720930232558, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, + "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": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.7692307692307693, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.5833333333333334, + "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": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.92, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.32, + "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_philosophy": 0.6764705882352942, + "mmlu_eval_accuracy_prehistory": 0.5714285714285714, + "mmlu_eval_accuracy_professional_accounting": 0.6451612903225806, + "mmlu_eval_accuracy_professional_law": 0.38823529411764707, + "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, + "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.6296296296296297, + "mmlu_eval_accuracy_sociology": 0.8636363636363636, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.6842105263157895, + "mmlu_loss": 1.448407819159037, + "step": 2000 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7657, + "step": 2001 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6188, + "step": 2002 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5637, + "step": 2003 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.8218, + "step": 2004 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6674, + "step": 2005 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 1.0114, + "step": 2006 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6982, + "step": 2007 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.658, + "step": 2008 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.8572, + "step": 2009 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7983, + "step": 2010 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5254, + "step": 2011 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5965, + "step": 2012 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6264, + "step": 2013 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.9493, + "step": 2014 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7042, + "step": 2015 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7716, + "step": 2016 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5171, + "step": 2017 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7314, + "step": 2018 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5305, + "step": 2019 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6509, + "step": 2020 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.8824, + "step": 2021 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5778, + "step": 2022 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5786, + "step": 2023 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5818, + "step": 2024 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5887, + "step": 2025 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6667, + "step": 2026 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.8011, + "step": 2027 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5677, + "step": 2028 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6598, + "step": 2029 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6188, + "step": 2030 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7116, + "step": 2031 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.7276, + "step": 2032 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.8054, + "step": 2033 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5721, + "step": 2034 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5745, + "step": 2035 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5966, + "step": 2036 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.6382, + "step": 2037 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5727, + "step": 2038 + }, + { + "epoch": 0.51, + "learning_rate": 0.0002, + "loss": 0.5911, + "step": 2039 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7415, + "step": 2040 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.5403, + "step": 2041 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.9376, + "step": 2042 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7322, + "step": 2043 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.8244, + "step": 2044 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7535, + "step": 2045 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7355, + "step": 2046 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7008, + "step": 2047 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6467, + "step": 2048 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.8518, + "step": 2049 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6575, + "step": 2050 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7499, + "step": 2051 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.56, + "step": 2052 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.8077, + "step": 2053 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6512, + "step": 2054 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.4446, + "step": 2055 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6481, + "step": 2056 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.9285, + "step": 2057 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6248, + "step": 2058 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7784, + "step": 2059 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6548, + "step": 2060 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7344, + "step": 2061 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7734, + "step": 2062 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.739, + "step": 2063 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7912, + "step": 2064 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6718, + "step": 2065 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7601, + "step": 2066 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.7899, + "step": 2067 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6188, + "step": 2068 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.5615, + "step": 2069 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6627, + "step": 2070 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.5646, + "step": 2071 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6677, + "step": 2072 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6844, + "step": 2073 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6385, + "step": 2074 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.8104, + "step": 2075 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.5852, + "step": 2076 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6585, + "step": 2077 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.6238, + "step": 2078 + }, + { + "epoch": 0.52, + "learning_rate": 0.0002, + "loss": 0.4332, + "step": 2079 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7384, + "step": 2080 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6455, + "step": 2081 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.5981, + "step": 2082 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.8709, + "step": 2083 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6933, + "step": 2084 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.699, + "step": 2085 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7218, + "step": 2086 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.5791, + "step": 2087 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.8458, + "step": 2088 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7618, + "step": 2089 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.759, + "step": 2090 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6564, + "step": 2091 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7062, + "step": 2092 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7573, + "step": 2093 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.5307, + "step": 2094 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7905, + "step": 2095 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.5687, + "step": 2096 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7465, + "step": 2097 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.5522, + "step": 2098 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.608, + "step": 2099 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6881, + "step": 2100 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.65, + "step": 2101 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6924, + "step": 2102 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6708, + "step": 2103 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6483, + "step": 2104 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7458, + "step": 2105 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.5634, + "step": 2106 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.5667, + "step": 2107 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.469, + "step": 2108 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.5668, + "step": 2109 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.5169, + "step": 2110 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.5891, + "step": 2111 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.7721, + "step": 2112 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6657, + "step": 2113 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6485, + "step": 2114 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6923, + "step": 2115 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6357, + "step": 2116 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.6315, + "step": 2117 + }, + { + "epoch": 0.53, + "learning_rate": 0.0002, + "loss": 0.8263, + "step": 2118 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7575, + "step": 2119 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5668, + "step": 2120 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6034, + "step": 2121 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5135, + "step": 2122 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5523, + "step": 2123 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7637, + "step": 2124 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6489, + "step": 2125 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6886, + "step": 2126 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7695, + "step": 2127 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6738, + "step": 2128 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6215, + "step": 2129 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5021, + "step": 2130 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.894, + "step": 2131 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.8081, + "step": 2132 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7794, + "step": 2133 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5548, + "step": 2134 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.748, + "step": 2135 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5591, + "step": 2136 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.4965, + "step": 2137 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6404, + "step": 2138 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7208, + "step": 2139 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6401, + "step": 2140 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.9218, + "step": 2141 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.8194, + "step": 2142 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6187, + "step": 2143 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5503, + "step": 2144 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7109, + "step": 2145 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.9086, + "step": 2146 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6914, + "step": 2147 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6451, + "step": 2148 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.9136, + "step": 2149 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.56, + "step": 2150 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7264, + "step": 2151 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.5608, + "step": 2152 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.3799, + "step": 2153 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6379, + "step": 2154 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7207, + "step": 2155 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6797, + "step": 2156 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.7786, + "step": 2157 + }, + { + "epoch": 0.54, + "learning_rate": 0.0002, + "loss": 0.6957, + "step": 2158 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.5666, + "step": 2159 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.5143, + "step": 2160 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.8501, + "step": 2161 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.608, + "step": 2162 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.5463, + "step": 2163 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.8444, + "step": 2164 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6441, + "step": 2165 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6794, + "step": 2166 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.8142, + "step": 2167 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.793, + "step": 2168 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.8595, + "step": 2169 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.5663, + "step": 2170 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.7631, + "step": 2171 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.4648, + "step": 2172 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6482, + "step": 2173 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6036, + "step": 2174 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6462, + "step": 2175 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.7193, + "step": 2176 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6427, + "step": 2177 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.7455, + "step": 2178 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.5936, + "step": 2179 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.7509, + "step": 2180 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6564, + "step": 2181 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6863, + "step": 2182 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6867, + "step": 2183 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6265, + "step": 2184 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6542, + "step": 2185 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.5097, + "step": 2186 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.5337, + "step": 2187 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.8332, + "step": 2188 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6672, + "step": 2189 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.5624, + "step": 2190 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6934, + "step": 2191 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.4789, + "step": 2192 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.8002, + "step": 2193 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6799, + "step": 2194 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.753, + "step": 2195 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.5539, + "step": 2196 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.7544, + "step": 2197 + }, + { + "epoch": 0.55, + "learning_rate": 0.0002, + "loss": 0.6579, + "step": 2198 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.5313, + "step": 2199 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6292, + "step": 2200 + }, + { + "epoch": 0.56, + "eval_loss": 0.6755594611167908, + "eval_runtime": 95.09, + "eval_samples_per_second": 10.516, + "eval_steps_per_second": 5.258, + "step": 2200 + }, + { + "epoch": 0.56, + "mmlu_eval_accuracy": 0.5593257189460585, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449, + "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": 0.36363636363636365, + "mmlu_eval_accuracy_college_medicine": 0.7272727272727273, + "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": 0.25, + "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "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": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.8095238095238095, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6923076923076923, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, + "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": 0.5833333333333334, + "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": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.7272727272727273, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, + "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, + "mmlu_eval_accuracy_moral_scenarios": 0.33, + "mmlu_eval_accuracy_nutrition": 0.6363636363636364, + "mmlu_eval_accuracy_philosophy": 0.6470588235294118, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.45161290322580644, + "mmlu_eval_accuracy_professional_law": 0.36470588235294116, + "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, + "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": 0.5, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.365127786604916, + "step": 2200 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6556, + "step": 2201 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.7101, + "step": 2202 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.637, + "step": 2203 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.8826, + "step": 2204 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.8905, + "step": 2205 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.5314, + "step": 2206 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.5704, + "step": 2207 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6686, + "step": 2208 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.5663, + "step": 2209 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6803, + "step": 2210 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.7546, + "step": 2211 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.7972, + "step": 2212 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.7675, + "step": 2213 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.5754, + "step": 2214 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6415, + "step": 2215 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.7776, + "step": 2216 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.7191, + "step": 2217 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.5601, + "step": 2218 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.9206, + "step": 2219 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6879, + "step": 2220 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.677, + "step": 2221 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.7178, + "step": 2222 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6082, + "step": 2223 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.8103, + "step": 2224 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 1.1336, + "step": 2225 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.5636, + "step": 2226 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6796, + "step": 2227 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.8209, + "step": 2228 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6505, + "step": 2229 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.8385, + "step": 2230 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.848, + "step": 2231 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6937, + "step": 2232 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6671, + "step": 2233 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.7347, + "step": 2234 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6116, + "step": 2235 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.5504, + "step": 2236 + }, + { + "epoch": 0.56, + "learning_rate": 0.0002, + "loss": 0.6835, + "step": 2237 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.7091, + "step": 2238 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.8069, + "step": 2239 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.7296, + "step": 2240 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.5334, + "step": 2241 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6907, + "step": 2242 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.7912, + "step": 2243 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.7448, + "step": 2244 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6119, + "step": 2245 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.5393, + "step": 2246 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.7143, + "step": 2247 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.5996, + "step": 2248 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6597, + "step": 2249 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.7782, + "step": 2250 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.4929, + "step": 2251 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.5866, + "step": 2252 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.7676, + "step": 2253 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.5885, + "step": 2254 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.8682, + "step": 2255 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.7898, + "step": 2256 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6504, + "step": 2257 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.8055, + "step": 2258 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6827, + "step": 2259 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6246, + "step": 2260 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6444, + "step": 2261 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6415, + "step": 2262 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6998, + "step": 2263 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.5569, + "step": 2264 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6009, + "step": 2265 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.7315, + "step": 2266 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.8374, + "step": 2267 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.5342, + "step": 2268 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.8239, + "step": 2269 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.5869, + "step": 2270 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.5586, + "step": 2271 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6465, + "step": 2272 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6646, + "step": 2273 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.5524, + "step": 2274 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6064, + "step": 2275 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.6408, + "step": 2276 + }, + { + "epoch": 0.57, + "learning_rate": 0.0002, + "loss": 0.7066, + "step": 2277 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.9018, + "step": 2278 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6328, + "step": 2279 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6354, + "step": 2280 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7255, + "step": 2281 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.5895, + "step": 2282 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7016, + "step": 2283 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6051, + "step": 2284 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7869, + "step": 2285 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.5192, + "step": 2286 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.5467, + "step": 2287 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.5228, + "step": 2288 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.9875, + "step": 2289 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6102, + "step": 2290 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.8237, + "step": 2291 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.5469, + "step": 2292 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7877, + "step": 2293 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6976, + "step": 2294 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.5536, + "step": 2295 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6187, + "step": 2296 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.8081, + "step": 2297 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6639, + "step": 2298 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6763, + "step": 2299 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7165, + "step": 2300 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7498, + "step": 2301 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.8545, + "step": 2302 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7357, + "step": 2303 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.8355, + "step": 2304 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.8445, + "step": 2305 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6368, + "step": 2306 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6341, + "step": 2307 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7181, + "step": 2308 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7104, + "step": 2309 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.8164, + "step": 2310 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6387, + "step": 2311 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.5216, + "step": 2312 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.5842, + "step": 2313 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6206, + "step": 2314 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.6585, + "step": 2315 + }, + { + "epoch": 0.58, + "learning_rate": 0.0002, + "loss": 0.7855, + "step": 2316 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7107, + "step": 2317 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7926, + "step": 2318 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6277, + "step": 2319 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6646, + "step": 2320 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7751, + "step": 2321 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7206, + "step": 2322 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.5631, + "step": 2323 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.5962, + "step": 2324 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7677, + "step": 2325 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.8569, + "step": 2326 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6583, + "step": 2327 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.8077, + "step": 2328 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.5662, + "step": 2329 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7641, + "step": 2330 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.5849, + "step": 2331 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.8659, + "step": 2332 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.8434, + "step": 2333 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.4888, + "step": 2334 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6966, + "step": 2335 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6823, + "step": 2336 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6054, + "step": 2337 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7407, + "step": 2338 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6955, + "step": 2339 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7659, + "step": 2340 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7615, + "step": 2341 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7192, + "step": 2342 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.5941, + "step": 2343 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7305, + "step": 2344 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6201, + "step": 2345 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6233, + "step": 2346 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.672, + "step": 2347 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.8725, + "step": 2348 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.9052, + "step": 2349 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.5539, + "step": 2350 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.7615, + "step": 2351 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.4807, + "step": 2352 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6243, + "step": 2353 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6829, + "step": 2354 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.6963, + "step": 2355 + }, + { + "epoch": 0.59, + "learning_rate": 0.0002, + "loss": 0.8707, + "step": 2356 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7334, + "step": 2357 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6227, + "step": 2358 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.684, + "step": 2359 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6737, + "step": 2360 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6243, + "step": 2361 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6508, + "step": 2362 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6014, + "step": 2363 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.8034, + "step": 2364 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7183, + "step": 2365 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7968, + "step": 2366 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7249, + "step": 2367 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7014, + "step": 2368 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7887, + "step": 2369 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6352, + "step": 2370 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6319, + "step": 2371 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.9829, + "step": 2372 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6396, + "step": 2373 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.61, + "step": 2374 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6693, + "step": 2375 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.5084, + "step": 2376 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6198, + "step": 2377 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.8706, + "step": 2378 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.5923, + "step": 2379 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.743, + "step": 2380 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6631, + "step": 2381 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6373, + "step": 2382 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.8211, + "step": 2383 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6254, + "step": 2384 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6296, + "step": 2385 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6185, + "step": 2386 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.5696, + "step": 2387 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.8291, + "step": 2388 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7932, + "step": 2389 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7127, + "step": 2390 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.5546, + "step": 2391 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.5517, + "step": 2392 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6979, + "step": 2393 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6545, + "step": 2394 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.7937, + "step": 2395 + }, + { + "epoch": 0.6, + "learning_rate": 0.0002, + "loss": 0.6263, + "step": 2396 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7685, + "step": 2397 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6431, + "step": 2398 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.5964, + "step": 2399 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6461, + "step": 2400 + }, + { + "epoch": 0.61, + "eval_loss": 0.6747704744338989, + "eval_runtime": 95.1402, + "eval_samples_per_second": 10.511, + "eval_steps_per_second": 5.255, + "step": 2400 + }, + { + "epoch": 0.61, + "mmlu_eval_accuracy": 0.5687683667973088, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, + "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": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, + "mmlu_eval_accuracy_college_physics": 0.5454545454545454, + "mmlu_eval_accuracy_computer_security": 0.7272727272727273, + "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": 0.3902439024390244, + "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": 0.3181818181818182, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6923076923076923, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "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": 0.6923076923076923, + "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": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.8, + "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": 0.37, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.7058823529411765, + "mmlu_eval_accuracy_prehistory": 0.6571428571428571, + "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, + "mmlu_eval_accuracy_professional_law": 0.37058823529411766, + "mmlu_eval_accuracy_professional_medicine": 0.6774193548387096, + "mmlu_eval_accuracy_professional_psychology": 0.5362318840579711, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "mmlu_eval_accuracy_sociology": 0.8181818181818182, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.31871064423581, + "step": 2400 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6574, + "step": 2401 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7544, + "step": 2402 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6775, + "step": 2403 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6939, + "step": 2404 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.701, + "step": 2405 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.5007, + "step": 2406 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7518, + "step": 2407 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7872, + "step": 2408 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.5217, + "step": 2409 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6385, + "step": 2410 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6539, + "step": 2411 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.8032, + "step": 2412 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.5429, + "step": 2413 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7883, + "step": 2414 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7324, + "step": 2415 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6227, + "step": 2416 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.9392, + "step": 2417 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.5426, + "step": 2418 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.8977, + "step": 2419 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6784, + "step": 2420 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.548, + "step": 2421 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.5672, + "step": 2422 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.691, + "step": 2423 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.8858, + "step": 2424 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7231, + "step": 2425 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6126, + "step": 2426 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.833, + "step": 2427 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6626, + "step": 2428 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6773, + "step": 2429 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6823, + "step": 2430 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.5899, + "step": 2431 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.5822, + "step": 2432 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.7771, + "step": 2433 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6638, + "step": 2434 + }, + { + "epoch": 0.61, + "learning_rate": 0.0002, + "loss": 0.6593, + "step": 2435 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.516, + "step": 2436 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6857, + "step": 2437 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6684, + "step": 2438 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6053, + "step": 2439 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.5797, + "step": 2440 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7737, + "step": 2441 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7907, + "step": 2442 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7957, + "step": 2443 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.4976, + "step": 2444 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7054, + "step": 2445 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7144, + "step": 2446 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7983, + "step": 2447 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6767, + "step": 2448 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7598, + "step": 2449 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.5414, + "step": 2450 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6383, + "step": 2451 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6273, + "step": 2452 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6509, + "step": 2453 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7463, + "step": 2454 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7171, + "step": 2455 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6891, + "step": 2456 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6757, + "step": 2457 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6084, + "step": 2458 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.665, + "step": 2459 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.649, + "step": 2460 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6217, + "step": 2461 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7587, + "step": 2462 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7213, + "step": 2463 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6459, + "step": 2464 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.5141, + "step": 2465 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.622, + "step": 2466 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6918, + "step": 2467 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7073, + "step": 2468 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7427, + "step": 2469 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.6346, + "step": 2470 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7582, + "step": 2471 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7347, + "step": 2472 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.7261, + "step": 2473 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.8011, + "step": 2474 + }, + { + "epoch": 0.62, + "learning_rate": 0.0002, + "loss": 0.5465, + "step": 2475 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.707, + "step": 2476 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6264, + "step": 2477 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.544, + "step": 2478 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.625, + "step": 2479 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6222, + "step": 2480 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6066, + "step": 2481 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.8078, + "step": 2482 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6351, + "step": 2483 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6324, + "step": 2484 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6144, + "step": 2485 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.7296, + "step": 2486 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6111, + "step": 2487 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.7197, + "step": 2488 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.5618, + "step": 2489 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6689, + "step": 2490 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6784, + "step": 2491 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.7831, + "step": 2492 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6145, + "step": 2493 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.8472, + "step": 2494 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.7641, + "step": 2495 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6473, + "step": 2496 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6059, + "step": 2497 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.686, + "step": 2498 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.5133, + "step": 2499 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.4678, + "step": 2500 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.7202, + "step": 2501 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.9028, + "step": 2502 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.5887, + "step": 2503 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6456, + "step": 2504 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.9005, + "step": 2505 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.4413, + "step": 2506 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.5941, + "step": 2507 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.67, + "step": 2508 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.4811, + "step": 2509 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.7995, + "step": 2510 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.5125, + "step": 2511 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.8287, + "step": 2512 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.4906, + "step": 2513 + }, + { + "epoch": 0.63, + "learning_rate": 0.0002, + "loss": 0.6764, + "step": 2514 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6753, + "step": 2515 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6915, + "step": 2516 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6617, + "step": 2517 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7018, + "step": 2518 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6677, + "step": 2519 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.5375, + "step": 2520 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.8095, + "step": 2521 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.5677, + "step": 2522 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.825, + "step": 2523 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7221, + "step": 2524 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6696, + "step": 2525 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6297, + "step": 2526 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6913, + "step": 2527 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7252, + "step": 2528 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.8686, + "step": 2529 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7348, + "step": 2530 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.8127, + "step": 2531 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6943, + "step": 2532 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7532, + "step": 2533 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.752, + "step": 2534 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.5343, + "step": 2535 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7114, + "step": 2536 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.587, + "step": 2537 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7517, + "step": 2538 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6949, + "step": 2539 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6184, + "step": 2540 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7853, + "step": 2541 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7749, + "step": 2542 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6167, + "step": 2543 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.8696, + "step": 2544 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7094, + "step": 2545 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6618, + "step": 2546 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7025, + "step": 2547 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6971, + "step": 2548 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6038, + "step": 2549 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7522, + "step": 2550 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.6606, + "step": 2551 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.7421, + "step": 2552 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.585, + "step": 2553 + }, + { + "epoch": 0.64, + "learning_rate": 0.0002, + "loss": 0.5575, + "step": 2554 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6962, + "step": 2555 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6251, + "step": 2556 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6788, + "step": 2557 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.8292, + "step": 2558 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6121, + "step": 2559 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6119, + "step": 2560 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.758, + "step": 2561 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.7755, + "step": 2562 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.7465, + "step": 2563 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6167, + "step": 2564 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.4894, + "step": 2565 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6957, + "step": 2566 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6469, + "step": 2567 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6276, + "step": 2568 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.8313, + "step": 2569 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.5801, + "step": 2570 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6046, + "step": 2571 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6722, + "step": 2572 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.5982, + "step": 2573 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6169, + "step": 2574 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6992, + "step": 2575 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6622, + "step": 2576 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.9354, + "step": 2577 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6934, + "step": 2578 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.5732, + "step": 2579 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.4889, + "step": 2580 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.5657, + "step": 2581 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6251, + "step": 2582 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.8102, + "step": 2583 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.7937, + "step": 2584 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6945, + "step": 2585 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.5956, + "step": 2586 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.573, + "step": 2587 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.7592, + "step": 2588 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.604, + "step": 2589 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.639, + "step": 2590 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6397, + "step": 2591 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.6053, + "step": 2592 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.8549, + "step": 2593 + }, + { + "epoch": 0.65, + "learning_rate": 0.0002, + "loss": 0.4902, + "step": 2594 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.663, + "step": 2595 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7394, + "step": 2596 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6287, + "step": 2597 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7274, + "step": 2598 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6651, + "step": 2599 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6526, + "step": 2600 + }, + { + "epoch": 0.66, + "eval_loss": 0.6756862998008728, + "eval_runtime": 95.3641, + "eval_samples_per_second": 10.486, + "eval_steps_per_second": 5.243, + "step": 2600 + }, + { + "epoch": 0.66, + "mmlu_eval_accuracy": 0.582110732747463, + "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": 0.6875, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, + "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, + "mmlu_eval_accuracy_college_medicine": 0.6818181818181818, + "mmlu_eval_accuracy_college_physics": 0.5454545454545454, + "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": 0.4375, + "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.5, + "mmlu_eval_accuracy_high_school_biology": 0.6875, + "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": 0.7619047619047619, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6923076923076923, + "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, + "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, + "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": 0.7391304347826086, + "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": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273, + "mmlu_eval_accuracy_miscellaneous": 0.7674418604651163, + "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, + "mmlu_eval_accuracy_moral_scenarios": 0.35, + "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": 0.37058823529411766, + "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, + "mmlu_eval_accuracy_professional_psychology": 0.5362318840579711, + "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": 0.5, + "mmlu_eval_accuracy_world_religions": 0.8947368421052632, + "mmlu_loss": 1.16593570482015, + "step": 2600 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.8296, + "step": 2601 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.8511, + "step": 2602 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6159, + "step": 2603 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6512, + "step": 2604 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7212, + "step": 2605 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7332, + "step": 2606 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6217, + "step": 2607 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.8163, + "step": 2608 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6024, + "step": 2609 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6399, + "step": 2610 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6805, + "step": 2611 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7184, + "step": 2612 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6494, + "step": 2613 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6459, + "step": 2614 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.517, + "step": 2615 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.5703, + "step": 2616 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.616, + "step": 2617 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.5081, + "step": 2618 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7524, + "step": 2619 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.8362, + "step": 2620 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.5406, + "step": 2621 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.5917, + "step": 2622 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7408, + "step": 2623 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6009, + "step": 2624 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6786, + "step": 2625 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.5677, + "step": 2626 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6599, + "step": 2627 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.5554, + "step": 2628 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6662, + "step": 2629 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7675, + "step": 2630 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.7349, + "step": 2631 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6295, + "step": 2632 + }, + { + "epoch": 0.66, + "learning_rate": 0.0002, + "loss": 0.6757, + "step": 2633 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7539, + "step": 2634 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.5802, + "step": 2635 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.6817, + "step": 2636 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.6108, + "step": 2637 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.6022, + "step": 2638 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.69, + "step": 2639 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7651, + "step": 2640 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7827, + "step": 2641 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.5934, + "step": 2642 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7231, + "step": 2643 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7091, + "step": 2644 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7045, + "step": 2645 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.5746, + "step": 2646 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.9093, + "step": 2647 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.6561, + "step": 2648 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7069, + "step": 2649 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.5754, + "step": 2650 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.8475, + "step": 2651 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7658, + "step": 2652 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7536, + "step": 2653 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.5302, + "step": 2654 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7421, + "step": 2655 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.5282, + "step": 2656 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.6051, + "step": 2657 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.707, + "step": 2658 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7338, + "step": 2659 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.625, + "step": 2660 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.6294, + "step": 2661 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.585, + "step": 2662 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.6274, + "step": 2663 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.5961, + "step": 2664 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.6006, + "step": 2665 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.898, + "step": 2666 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.6136, + "step": 2667 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.4871, + "step": 2668 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.6734, + "step": 2669 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.5682, + "step": 2670 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.7334, + "step": 2671 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.6339, + "step": 2672 + }, + { + "epoch": 0.67, + "learning_rate": 0.0002, + "loss": 0.6235, + "step": 2673 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6997, + "step": 2674 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7708, + "step": 2675 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.4556, + "step": 2676 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6915, + "step": 2677 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6555, + "step": 2678 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6436, + "step": 2679 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7488, + "step": 2680 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.5776, + "step": 2681 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6759, + "step": 2682 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7375, + "step": 2683 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7658, + "step": 2684 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7456, + "step": 2685 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.5742, + "step": 2686 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6261, + "step": 2687 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7355, + "step": 2688 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.8242, + "step": 2689 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7255, + "step": 2690 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.4971, + "step": 2691 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7748, + "step": 2692 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7517, + "step": 2693 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7373, + "step": 2694 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.4521, + "step": 2695 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6382, + "step": 2696 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7563, + "step": 2697 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6244, + "step": 2698 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.745, + "step": 2699 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7041, + "step": 2700 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7357, + "step": 2701 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.5443, + "step": 2702 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.591, + "step": 2703 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6298, + "step": 2704 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7165, + "step": 2705 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.8613, + "step": 2706 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.633, + "step": 2707 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.6356, + "step": 2708 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.5013, + "step": 2709 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7643, + "step": 2710 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.5385, + "step": 2711 + }, + { + "epoch": 0.68, + "learning_rate": 0.0002, + "loss": 0.7448, + "step": 2712 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6034, + "step": 2713 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6161, + "step": 2714 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6736, + "step": 2715 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6971, + "step": 2716 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.636, + "step": 2717 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6262, + "step": 2718 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.9348, + "step": 2719 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.5989, + "step": 2720 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.8025, + "step": 2721 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.4915, + "step": 2722 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6975, + "step": 2723 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6291, + "step": 2724 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6177, + "step": 2725 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7496, + "step": 2726 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6432, + "step": 2727 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.8428, + "step": 2728 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6749, + "step": 2729 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.5454, + "step": 2730 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.692, + "step": 2731 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6375, + "step": 2732 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7017, + "step": 2733 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7258, + "step": 2734 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7613, + "step": 2735 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.619, + "step": 2736 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7958, + "step": 2737 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.5353, + "step": 2738 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.5466, + "step": 2739 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.8342, + "step": 2740 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6002, + "step": 2741 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7204, + "step": 2742 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6186, + "step": 2743 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7558, + "step": 2744 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6893, + "step": 2745 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.5544, + "step": 2746 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.6008, + "step": 2747 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7247, + "step": 2748 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7882, + "step": 2749 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.7028, + "step": 2750 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.66, + "step": 2751 + }, + { + "epoch": 0.69, + "learning_rate": 0.0002, + "loss": 0.8197, + "step": 2752 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.7796, + "step": 2753 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6888, + "step": 2754 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.7369, + "step": 2755 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.5511, + "step": 2756 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.9295, + "step": 2757 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.8302, + "step": 2758 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.8378, + "step": 2759 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6842, + "step": 2760 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.585, + "step": 2761 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.586, + "step": 2762 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.5699, + "step": 2763 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.5481, + "step": 2764 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.661, + "step": 2765 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6565, + "step": 2766 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.7592, + "step": 2767 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6357, + "step": 2768 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6882, + "step": 2769 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6191, + "step": 2770 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.5125, + "step": 2771 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.687, + "step": 2772 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.73, + "step": 2773 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6597, + "step": 2774 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.638, + "step": 2775 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.569, + "step": 2776 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.5583, + "step": 2777 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.638, + "step": 2778 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6449, + "step": 2779 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.5811, + "step": 2780 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.5026, + "step": 2781 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.8735, + "step": 2782 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.7025, + "step": 2783 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6596, + "step": 2784 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.7012, + "step": 2785 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.9208, + "step": 2786 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6334, + "step": 2787 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.7412, + "step": 2788 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6749, + "step": 2789 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.6251, + "step": 2790 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.7208, + "step": 2791 + }, + { + "epoch": 0.7, + "learning_rate": 0.0002, + "loss": 0.568, + "step": 2792 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7715, + "step": 2793 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.5837, + "step": 2794 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.5313, + "step": 2795 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6317, + "step": 2796 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6306, + "step": 2797 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.8411, + "step": 2798 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.5831, + "step": 2799 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6024, + "step": 2800 + }, + { + "epoch": 0.71, + "eval_loss": 0.6741033792495728, + "eval_runtime": 95.1865, + "eval_samples_per_second": 10.506, + "eval_steps_per_second": 5.253, + "step": 2800 + }, + { + "epoch": 0.71, + "mmlu_eval_accuracy": 0.5742246395866482, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, + "mmlu_eval_accuracy_college_biology": 0.6875, + "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": 0.5909090909090909, + "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": 0.5833333333333334, + "mmlu_eval_accuracy_electrical_engineering": 0.5, + "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, + "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.625, + "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": 0.7619047619047619, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, + "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": 0.85, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.8636363636363636, + "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, + "mmlu_eval_accuracy_human_aging": 0.6956521739130435, + "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": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, + "mmlu_eval_accuracy_miscellaneous": 0.7674418604651163, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.32, + "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_philosophy": 0.6764705882352942, + "mmlu_eval_accuracy_prehistory": 0.6, + "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, + "mmlu_eval_accuracy_professional_law": 0.38235294117647056, + "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, + "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": 0.8181818181818182, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 1.0906783121178418, + "step": 2800 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7089, + "step": 2801 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.645, + "step": 2802 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.8072, + "step": 2803 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.69, + "step": 2804 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7415, + "step": 2805 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.68, + "step": 2806 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6696, + "step": 2807 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.5787, + "step": 2808 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.5803, + "step": 2809 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6804, + "step": 2810 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7132, + "step": 2811 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6143, + "step": 2812 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.4987, + "step": 2813 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.5892, + "step": 2814 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.8059, + "step": 2815 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6802, + "step": 2816 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7783, + "step": 2817 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.5702, + "step": 2818 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.78, + "step": 2819 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7801, + "step": 2820 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6371, + "step": 2821 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.8811, + "step": 2822 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7508, + "step": 2823 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.5585, + "step": 2824 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.6272, + "step": 2825 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.5713, + "step": 2826 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7809, + "step": 2827 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.7501, + "step": 2828 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.4729, + "step": 2829 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.9112, + "step": 2830 + }, + { + "epoch": 0.71, + "learning_rate": 0.0002, + "loss": 0.5841, + "step": 2831 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.5729, + "step": 2832 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6175, + "step": 2833 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.7476, + "step": 2834 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.551, + "step": 2835 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6434, + "step": 2836 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.8397, + "step": 2837 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.8822, + "step": 2838 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6817, + "step": 2839 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6269, + "step": 2840 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.5831, + "step": 2841 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.5908, + "step": 2842 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.7482, + "step": 2843 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.7137, + "step": 2844 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.5725, + "step": 2845 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6862, + "step": 2846 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.673, + "step": 2847 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.5552, + "step": 2848 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.619, + "step": 2849 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.7398, + "step": 2850 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.7175, + "step": 2851 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6676, + "step": 2852 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.5612, + "step": 2853 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.7842, + "step": 2854 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.5975, + "step": 2855 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.8934, + "step": 2856 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.5591, + "step": 2857 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6856, + "step": 2858 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.4904, + "step": 2859 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.7489, + "step": 2860 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.594, + "step": 2861 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.7346, + "step": 2862 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6683, + "step": 2863 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6543, + "step": 2864 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.8113, + "step": 2865 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.5543, + "step": 2866 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.8198, + "step": 2867 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.7794, + "step": 2868 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.6447, + "step": 2869 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.4458, + "step": 2870 + }, + { + "epoch": 0.72, + "learning_rate": 0.0002, + "loss": 0.5933, + "step": 2871 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7801, + "step": 2872 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.6147, + "step": 2873 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.6308, + "step": 2874 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7424, + "step": 2875 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8882, + "step": 2876 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7447, + "step": 2877 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.6688, + "step": 2878 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7405, + "step": 2879 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.78, + "step": 2880 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8192, + "step": 2881 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.6952, + "step": 2882 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.5746, + "step": 2883 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.6026, + "step": 2884 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7223, + "step": 2885 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.6768, + "step": 2886 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7529, + "step": 2887 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.6357, + "step": 2888 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7671, + "step": 2889 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7071, + "step": 2890 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7092, + "step": 2891 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7993, + "step": 2892 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7166, + "step": 2893 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.5787, + "step": 2894 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8216, + "step": 2895 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.6601, + "step": 2896 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7039, + "step": 2897 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7704, + "step": 2898 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7554, + "step": 2899 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.542, + "step": 2900 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.6722, + "step": 2901 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.5282, + "step": 2902 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.5881, + "step": 2903 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.6944, + "step": 2904 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.5424, + "step": 2905 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.659, + "step": 2906 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.5514, + "step": 2907 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.8895, + "step": 2908 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.665, + "step": 2909 + }, + { + "epoch": 0.73, + "learning_rate": 0.0002, + "loss": 0.7292, + "step": 2910 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7553, + "step": 2911 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6894, + "step": 2912 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7462, + "step": 2913 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.554, + "step": 2914 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.441, + "step": 2915 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.5553, + "step": 2916 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6415, + "step": 2917 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6282, + "step": 2918 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6942, + "step": 2919 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6067, + "step": 2920 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.5663, + "step": 2921 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6233, + "step": 2922 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6303, + "step": 2923 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7846, + "step": 2924 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6537, + "step": 2925 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.723, + "step": 2926 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7504, + "step": 2927 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.5755, + "step": 2928 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.8066, + "step": 2929 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6661, + "step": 2930 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.5499, + "step": 2931 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7738, + "step": 2932 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.736, + "step": 2933 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.657, + "step": 2934 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7909, + "step": 2935 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.5482, + "step": 2936 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7264, + "step": 2937 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.565, + "step": 2938 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.5795, + "step": 2939 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6528, + "step": 2940 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.5781, + "step": 2941 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.5739, + "step": 2942 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6862, + "step": 2943 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.785, + "step": 2944 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.5038, + "step": 2945 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7796, + "step": 2946 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7555, + "step": 2947 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.6638, + "step": 2948 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.746, + "step": 2949 + }, + { + "epoch": 0.74, + "learning_rate": 0.0002, + "loss": 0.7751, + "step": 2950 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.7551, + "step": 2951 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.8136, + "step": 2952 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.709, + "step": 2953 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.5752, + "step": 2954 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6705, + "step": 2955 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.5913, + "step": 2956 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6757, + "step": 2957 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6202, + "step": 2958 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.5922, + "step": 2959 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6476, + "step": 2960 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.591, + "step": 2961 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6125, + "step": 2962 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6963, + "step": 2963 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6493, + "step": 2964 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.7038, + "step": 2965 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6814, + "step": 2966 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.4549, + "step": 2967 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.5686, + "step": 2968 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.5792, + "step": 2969 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.5898, + "step": 2970 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.7157, + "step": 2971 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.7092, + "step": 2972 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6812, + "step": 2973 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.9265, + "step": 2974 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6895, + "step": 2975 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.639, + "step": 2976 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.638, + "step": 2977 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6461, + "step": 2978 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.5706, + "step": 2979 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.7336, + "step": 2980 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.7717, + "step": 2981 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.696, + "step": 2982 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6736, + "step": 2983 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6313, + "step": 2984 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.5823, + "step": 2985 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6707, + "step": 2986 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.4844, + "step": 2987 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.7364, + "step": 2988 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.4471, + "step": 2989 + }, + { + "epoch": 0.75, + "learning_rate": 0.0002, + "loss": 0.6184, + "step": 2990 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.8806, + "step": 2991 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6336, + "step": 2992 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6828, + "step": 2993 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6162, + "step": 2994 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6475, + "step": 2995 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.8213, + "step": 2996 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6101, + "step": 2997 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6226, + "step": 2998 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.76, + "step": 2999 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7095, + "step": 3000 + }, + { + "epoch": 0.76, + "eval_loss": 0.6741328239440918, + "eval_runtime": 95.2369, + "eval_samples_per_second": 10.5, + "eval_steps_per_second": 5.25, + "step": 3000 + }, + { + "epoch": 0.76, + "mmlu_eval_accuracy": 0.570027892593482, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5, + "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": 0.75, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, + "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": 0.4230769230769231, + "mmlu_eval_accuracy_econometrics": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.625, + "mmlu_eval_accuracy_elementary_mathematics": 0.4634146341463415, + "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.625, + "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": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, + "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, + "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": 0.6538461538461539, + "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": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.7272727272727273, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, + "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.33, + "mmlu_eval_accuracy_nutrition": 0.7272727272727273, + "mmlu_eval_accuracy_philosophy": 0.6764705882352942, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, + "mmlu_eval_accuracy_professional_law": 0.38823529411764707, + "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, + "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, + "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": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.242498290406506, + "step": 3000 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.8493, + "step": 3001 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6204, + "step": 3002 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.586, + "step": 3003 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7701, + "step": 3004 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.5905, + "step": 3005 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.781, + "step": 3006 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6412, + "step": 3007 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6341, + "step": 3008 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.5904, + "step": 3009 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6484, + "step": 3010 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6998, + "step": 3011 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.748, + "step": 3012 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7202, + "step": 3013 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7643, + "step": 3014 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6705, + "step": 3015 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.8347, + "step": 3016 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6804, + "step": 3017 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.8111, + "step": 3018 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.528, + "step": 3019 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7574, + "step": 3020 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.5872, + "step": 3021 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6539, + "step": 3022 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7135, + "step": 3023 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.8366, + "step": 3024 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.673, + "step": 3025 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.6373, + "step": 3026 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.698, + "step": 3027 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.5637, + "step": 3028 + }, + { + "epoch": 0.76, + "learning_rate": 0.0002, + "loss": 0.7377, + "step": 3029 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8707, + "step": 3030 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6643, + "step": 3031 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.5714, + "step": 3032 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6639, + "step": 3033 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.529, + "step": 3034 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.7204, + "step": 3035 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.7837, + "step": 3036 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.5893, + "step": 3037 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6877, + "step": 3038 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.7866, + "step": 3039 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.5687, + "step": 3040 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.535, + "step": 3041 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.7554, + "step": 3042 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.4766, + "step": 3043 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6552, + "step": 3044 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8004, + "step": 3045 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.547, + "step": 3046 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.5707, + "step": 3047 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6498, + "step": 3048 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.5629, + "step": 3049 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.4902, + "step": 3050 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.7591, + "step": 3051 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6602, + "step": 3052 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.7434, + "step": 3053 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6609, + "step": 3054 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6928, + "step": 3055 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.674, + "step": 3056 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.622, + "step": 3057 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.7448, + "step": 3058 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6041, + "step": 3059 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.5036, + "step": 3060 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.62, + "step": 3061 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.5621, + "step": 3062 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.5781, + "step": 3063 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.9097, + "step": 3064 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.606, + "step": 3065 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.7813, + "step": 3066 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.5536, + "step": 3067 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.8731, + "step": 3068 + }, + { + "epoch": 0.77, + "learning_rate": 0.0002, + "loss": 0.6837, + "step": 3069 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6116, + "step": 3070 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6474, + "step": 3071 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.729, + "step": 3072 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.647, + "step": 3073 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.7579, + "step": 3074 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.8528, + "step": 3075 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.7827, + "step": 3076 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.609, + "step": 3077 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6276, + "step": 3078 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6546, + "step": 3079 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.5349, + "step": 3080 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6522, + "step": 3081 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6165, + "step": 3082 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6073, + "step": 3083 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6639, + "step": 3084 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.7792, + "step": 3085 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.8153, + "step": 3086 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.8121, + "step": 3087 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.5696, + "step": 3088 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.5795, + "step": 3089 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6968, + "step": 3090 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.5043, + "step": 3091 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6906, + "step": 3092 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.5486, + "step": 3093 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.7431, + "step": 3094 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6325, + "step": 3095 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.61, + "step": 3096 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.7789, + "step": 3097 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.7617, + "step": 3098 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6623, + "step": 3099 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.7495, + "step": 3100 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6877, + "step": 3101 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.5818, + "step": 3102 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6057, + "step": 3103 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.5132, + "step": 3104 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.7743, + "step": 3105 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6283, + "step": 3106 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.6793, + "step": 3107 + }, + { + "epoch": 0.78, + "learning_rate": 0.0002, + "loss": 0.5381, + "step": 3108 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7014, + "step": 3109 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7219, + "step": 3110 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6369, + "step": 3111 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.5665, + "step": 3112 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6909, + "step": 3113 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7308, + "step": 3114 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6854, + "step": 3115 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.5938, + "step": 3116 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7172, + "step": 3117 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.5626, + "step": 3118 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.5349, + "step": 3119 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6293, + "step": 3120 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.4581, + "step": 3121 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6249, + "step": 3122 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.652, + "step": 3123 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.8086, + "step": 3124 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.5749, + "step": 3125 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6983, + "step": 3126 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6773, + "step": 3127 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7231, + "step": 3128 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7867, + "step": 3129 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.9887, + "step": 3130 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.8694, + "step": 3131 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7119, + "step": 3132 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6855, + "step": 3133 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6232, + "step": 3134 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.678, + "step": 3135 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.5623, + "step": 3136 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6757, + "step": 3137 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6666, + "step": 3138 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7719, + "step": 3139 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7761, + "step": 3140 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.5037, + "step": 3141 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.5618, + "step": 3142 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.6015, + "step": 3143 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.5342, + "step": 3144 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7308, + "step": 3145 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.8409, + "step": 3146 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7988, + "step": 3147 + }, + { + "epoch": 0.79, + "learning_rate": 0.0002, + "loss": 0.7566, + "step": 3148 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7635, + "step": 3149 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.741, + "step": 3150 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.624, + "step": 3151 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7307, + "step": 3152 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6337, + "step": 3153 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.8567, + "step": 3154 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6267, + "step": 3155 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.8717, + "step": 3156 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6314, + "step": 3157 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7852, + "step": 3158 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7311, + "step": 3159 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.5467, + "step": 3160 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7509, + "step": 3161 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.5916, + "step": 3162 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7291, + "step": 3163 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.5714, + "step": 3164 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.5564, + "step": 3165 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6376, + "step": 3166 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6791, + "step": 3167 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.5385, + "step": 3168 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6303, + "step": 3169 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7495, + "step": 3170 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6236, + "step": 3171 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7293, + "step": 3172 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.9344, + "step": 3173 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6369, + "step": 3174 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7161, + "step": 3175 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6471, + "step": 3176 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7829, + "step": 3177 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.5964, + "step": 3178 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7949, + "step": 3179 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6967, + "step": 3180 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.5683, + "step": 3181 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6488, + "step": 3182 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.739, + "step": 3183 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.5414, + "step": 3184 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.6496, + "step": 3185 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.7789, + "step": 3186 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.5484, + "step": 3187 + }, + { + "epoch": 0.8, + "learning_rate": 0.0002, + "loss": 0.5682, + "step": 3188 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7182, + "step": 3189 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6183, + "step": 3190 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.8188, + "step": 3191 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.5008, + "step": 3192 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7698, + "step": 3193 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.5461, + "step": 3194 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.8824, + "step": 3195 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6213, + "step": 3196 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7697, + "step": 3197 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.4694, + "step": 3198 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7472, + "step": 3199 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6258, + "step": 3200 + }, + { + "epoch": 0.81, + "eval_loss": 0.6717749238014221, + "eval_runtime": 95.2112, + "eval_samples_per_second": 10.503, + "eval_steps_per_second": 5.251, + "step": 3200 + }, + { + "epoch": 0.81, + "mmlu_eval_accuracy": 0.5756958574262077, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.5625, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449, + "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": 0.6363636363636364, + "mmlu_eval_accuracy_college_physics": 0.36363636363636365, + "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": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.5625, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6923076923076923, + "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, + "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.8181818181818182, + "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": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.6363636363636364, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.88, + "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": 0.39, + "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_philosophy": 0.6470588235294118, + "mmlu_eval_accuracy_prehistory": 0.5714285714285714, + "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": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.8181818181818182, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.0714783156898564, + "step": 3200 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.9382, + "step": 3201 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.893, + "step": 3202 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6531, + "step": 3203 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7504, + "step": 3204 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7108, + "step": 3205 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7646, + "step": 3206 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.5446, + "step": 3207 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.5388, + "step": 3208 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6718, + "step": 3209 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.5457, + "step": 3210 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7386, + "step": 3211 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.826, + "step": 3212 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.5151, + "step": 3213 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6493, + "step": 3214 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6225, + "step": 3215 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6043, + "step": 3216 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.8395, + "step": 3217 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6741, + "step": 3218 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.5784, + "step": 3219 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7032, + "step": 3220 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6209, + "step": 3221 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7039, + "step": 3222 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7114, + "step": 3223 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.7128, + "step": 3224 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.8296, + "step": 3225 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.5998, + "step": 3226 + }, + { + "epoch": 0.81, + "learning_rate": 0.0002, + "loss": 0.6902, + "step": 3227 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7161, + "step": 3228 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.4343, + "step": 3229 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6509, + "step": 3230 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6585, + "step": 3231 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.5461, + "step": 3232 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.8508, + "step": 3233 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.5953, + "step": 3234 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.4911, + "step": 3235 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.858, + "step": 3236 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.5974, + "step": 3237 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7617, + "step": 3238 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6498, + "step": 3239 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7128, + "step": 3240 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7367, + "step": 3241 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.5202, + "step": 3242 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7027, + "step": 3243 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6168, + "step": 3244 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.5451, + "step": 3245 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7306, + "step": 3246 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6657, + "step": 3247 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7322, + "step": 3248 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7669, + "step": 3249 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.4609, + "step": 3250 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6554, + "step": 3251 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6831, + "step": 3252 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7633, + "step": 3253 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.5917, + "step": 3254 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7927, + "step": 3255 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.649, + "step": 3256 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.5392, + "step": 3257 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.5251, + "step": 3258 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.4965, + "step": 3259 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6963, + "step": 3260 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.7852, + "step": 3261 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.8447, + "step": 3262 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.74, + "step": 3263 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.5674, + "step": 3264 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.623, + "step": 3265 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.5737, + "step": 3266 + }, + { + "epoch": 0.82, + "learning_rate": 0.0002, + "loss": 0.6345, + "step": 3267 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6653, + "step": 3268 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.5806, + "step": 3269 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.5725, + "step": 3270 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.476, + "step": 3271 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7875, + "step": 3272 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.735, + "step": 3273 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6832, + "step": 3274 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6741, + "step": 3275 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6992, + "step": 3276 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.8876, + "step": 3277 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7594, + "step": 3278 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6396, + "step": 3279 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7549, + "step": 3280 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7456, + "step": 3281 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.8231, + "step": 3282 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7466, + "step": 3283 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6075, + "step": 3284 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7152, + "step": 3285 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7587, + "step": 3286 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7344, + "step": 3287 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6932, + "step": 3288 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.8146, + "step": 3289 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7286, + "step": 3290 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.8525, + "step": 3291 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7799, + "step": 3292 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.9179, + "step": 3293 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6996, + "step": 3294 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6206, + "step": 3295 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.655, + "step": 3296 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6854, + "step": 3297 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6416, + "step": 3298 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.7381, + "step": 3299 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.5027, + "step": 3300 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.5908, + "step": 3301 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.558, + "step": 3302 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.8131, + "step": 3303 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6865, + "step": 3304 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.612, + "step": 3305 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.6403, + "step": 3306 + }, + { + "epoch": 0.83, + "learning_rate": 0.0002, + "loss": 0.5631, + "step": 3307 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.783, + "step": 3308 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.5994, + "step": 3309 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7228, + "step": 3310 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.718, + "step": 3311 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.5745, + "step": 3312 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6038, + "step": 3313 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7826, + "step": 3314 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7839, + "step": 3315 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6475, + "step": 3316 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.8297, + "step": 3317 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7162, + "step": 3318 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7028, + "step": 3319 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7218, + "step": 3320 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.4018, + "step": 3321 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6761, + "step": 3322 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.8917, + "step": 3323 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.5973, + "step": 3324 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.5671, + "step": 3325 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6372, + "step": 3326 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7766, + "step": 3327 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6901, + "step": 3328 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6979, + "step": 3329 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.5853, + "step": 3330 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.586, + "step": 3331 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7793, + "step": 3332 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6747, + "step": 3333 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6652, + "step": 3334 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6232, + "step": 3335 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6661, + "step": 3336 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.8366, + "step": 3337 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6919, + "step": 3338 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7781, + "step": 3339 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7671, + "step": 3340 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.541, + "step": 3341 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6763, + "step": 3342 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.4908, + "step": 3343 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.7234, + "step": 3344 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.5887, + "step": 3345 + }, + { + "epoch": 0.84, + "learning_rate": 0.0002, + "loss": 0.6016, + "step": 3346 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6675, + "step": 3347 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.634, + "step": 3348 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.5622, + "step": 3349 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.794, + "step": 3350 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.733, + "step": 3351 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.5886, + "step": 3352 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.5999, + "step": 3353 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.553, + "step": 3354 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.5703, + "step": 3355 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.5311, + "step": 3356 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.5135, + "step": 3357 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.5056, + "step": 3358 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.8704, + "step": 3359 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.8118, + "step": 3360 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6446, + "step": 3361 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6409, + "step": 3362 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.9062, + "step": 3363 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6865, + "step": 3364 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6428, + "step": 3365 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.4914, + "step": 3366 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6693, + "step": 3367 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6479, + "step": 3368 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.7609, + "step": 3369 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.5835, + "step": 3370 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6447, + "step": 3371 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6832, + "step": 3372 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.7473, + "step": 3373 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6748, + "step": 3374 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.765, + "step": 3375 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.8759, + "step": 3376 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.5692, + "step": 3377 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.7699, + "step": 3378 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6819, + "step": 3379 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6865, + "step": 3380 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.5689, + "step": 3381 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.7244, + "step": 3382 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.576, + "step": 3383 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.7208, + "step": 3384 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.8705, + "step": 3385 + }, + { + "epoch": 0.85, + "learning_rate": 0.0002, + "loss": 0.6529, + "step": 3386 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.7876, + "step": 3387 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.7775, + "step": 3388 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.7337, + "step": 3389 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.602, + "step": 3390 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.7888, + "step": 3391 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.7595, + "step": 3392 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.7716, + "step": 3393 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.7279, + "step": 3394 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.783, + "step": 3395 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.6665, + "step": 3396 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.7642, + "step": 3397 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.748, + "step": 3398 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.5704, + "step": 3399 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.4814, + "step": 3400 + }, + { + "epoch": 0.86, + "eval_loss": 0.6693834066390991, + "eval_runtime": 95.1129, + "eval_samples_per_second": 10.514, + "eval_steps_per_second": 5.257, + "step": 3400 + }, + { + "epoch": 0.86, + "mmlu_eval_accuracy": 0.559933164973585, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.35714285714285715, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.41379310344827586, + "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": 0.45454545454545453, + "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": 0.5833333333333334, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "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": 0.5, + "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": 0.5, + "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": 0.6923076923076923, + "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": 0.7222222222222222, + "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": 0.7093023255813954, + "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, + "mmlu_eval_accuracy_moral_scenarios": 0.34, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.6764705882352942, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, + "mmlu_eval_accuracy_professional_law": 0.38235294117647056, + "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, + "mmlu_eval_accuracy_professional_psychology": 0.6666666666666666, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "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": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.631578947368421, + "mmlu_loss": 1.286086845530231, + "step": 3400 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.5951, + "step": 3401 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.5691, + "step": 3402 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.7698, + "step": 3403 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.6745, + "step": 3404 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.9711, + "step": 3405 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.5726, + "step": 3406 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.6535, + "step": 3407 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.5087, + "step": 3408 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.7019, + "step": 3409 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.6077, + "step": 3410 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.6489, + "step": 3411 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.728, + "step": 3412 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.4887, + "step": 3413 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.5667, + "step": 3414 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.6514, + "step": 3415 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.6807, + "step": 3416 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.6077, + "step": 3417 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.5907, + "step": 3418 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.7824, + "step": 3419 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.6891, + "step": 3420 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.6437, + "step": 3421 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.6201, + "step": 3422 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.4781, + "step": 3423 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.6219, + "step": 3424 + }, + { + "epoch": 0.86, + "learning_rate": 0.0002, + "loss": 0.5925, + "step": 3425 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.5987, + "step": 3426 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.7293, + "step": 3427 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.6491, + "step": 3428 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.635, + "step": 3429 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.5919, + "step": 3430 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.6327, + "step": 3431 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.6869, + "step": 3432 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.7553, + "step": 3433 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.8299, + "step": 3434 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.4988, + "step": 3435 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.621, + "step": 3436 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.5667, + "step": 3437 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.5914, + "step": 3438 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.6663, + "step": 3439 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.7045, + "step": 3440 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.7114, + "step": 3441 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.6338, + "step": 3442 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.7423, + "step": 3443 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.7238, + "step": 3444 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.6711, + "step": 3445 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.8012, + "step": 3446 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.5218, + "step": 3447 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.8323, + "step": 3448 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.8499, + "step": 3449 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.5975, + "step": 3450 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.5388, + "step": 3451 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.7867, + "step": 3452 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.5242, + "step": 3453 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.6853, + "step": 3454 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.6699, + "step": 3455 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.5917, + "step": 3456 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.6936, + "step": 3457 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.7582, + "step": 3458 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.8302, + "step": 3459 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.4379, + "step": 3460 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.7059, + "step": 3461 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.78, + "step": 3462 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.6835, + "step": 3463 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.5569, + "step": 3464 + }, + { + "epoch": 0.87, + "learning_rate": 0.0002, + "loss": 0.9049, + "step": 3465 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.6656, + "step": 3466 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.7782, + "step": 3467 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.5089, + "step": 3468 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.6224, + "step": 3469 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.5611, + "step": 3470 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.7194, + "step": 3471 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.6012, + "step": 3472 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.7336, + "step": 3473 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.7887, + "step": 3474 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.5282, + "step": 3475 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.5991, + "step": 3476 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.6464, + "step": 3477 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.7929, + "step": 3478 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.642, + "step": 3479 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.7508, + "step": 3480 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.6725, + "step": 3481 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.6309, + "step": 3482 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.7339, + "step": 3483 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.6728, + "step": 3484 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.5437, + "step": 3485 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.6181, + "step": 3486 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.9173, + "step": 3487 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.7308, + "step": 3488 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.5957, + "step": 3489 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.8211, + "step": 3490 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.7553, + "step": 3491 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.7329, + "step": 3492 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.6917, + "step": 3493 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.7211, + "step": 3494 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.7307, + "step": 3495 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.7519, + "step": 3496 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.6691, + "step": 3497 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.9168, + "step": 3498 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.7648, + "step": 3499 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.6431, + "step": 3500 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.6215, + "step": 3501 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.7267, + "step": 3502 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.716, + "step": 3503 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.5555, + "step": 3504 + }, + { + "epoch": 0.88, + "learning_rate": 0.0002, + "loss": 0.7314, + "step": 3505 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.7524, + "step": 3506 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.6843, + "step": 3507 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.711, + "step": 3508 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.6586, + "step": 3509 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.6841, + "step": 3510 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.7401, + "step": 3511 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.7117, + "step": 3512 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.5476, + "step": 3513 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.8631, + "step": 3514 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.5538, + "step": 3515 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.5896, + "step": 3516 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.4568, + "step": 3517 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.6293, + "step": 3518 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.6352, + "step": 3519 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.8324, + "step": 3520 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.566, + "step": 3521 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.5757, + "step": 3522 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.534, + "step": 3523 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.6443, + "step": 3524 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.6233, + "step": 3525 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.6328, + "step": 3526 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.8853, + "step": 3527 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.8076, + "step": 3528 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.6737, + "step": 3529 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.7953, + "step": 3530 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.7194, + "step": 3531 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.6156, + "step": 3532 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.6249, + "step": 3533 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.7556, + "step": 3534 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.9761, + "step": 3535 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.6772, + "step": 3536 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.6861, + "step": 3537 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.5672, + "step": 3538 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.8066, + "step": 3539 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.6953, + "step": 3540 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.7369, + "step": 3541 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.6886, + "step": 3542 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.7744, + "step": 3543 + }, + { + "epoch": 0.89, + "learning_rate": 0.0002, + "loss": 0.8574, + "step": 3544 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.5939, + "step": 3545 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.7036, + "step": 3546 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.7602, + "step": 3547 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.8216, + "step": 3548 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.5817, + "step": 3549 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.5936, + "step": 3550 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.7214, + "step": 3551 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.7968, + "step": 3552 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.5839, + "step": 3553 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.8759, + "step": 3554 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.6119, + "step": 3555 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.6307, + "step": 3556 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.5823, + "step": 3557 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.6005, + "step": 3558 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.7511, + "step": 3559 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.5596, + "step": 3560 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.722, + "step": 3561 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.5637, + "step": 3562 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.6525, + "step": 3563 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.5881, + "step": 3564 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.5273, + "step": 3565 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.8586, + "step": 3566 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.5692, + "step": 3567 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.8408, + "step": 3568 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.8221, + "step": 3569 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.5872, + "step": 3570 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.5628, + "step": 3571 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.7686, + "step": 3572 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.7083, + "step": 3573 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.733, + "step": 3574 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.5263, + "step": 3575 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.7948, + "step": 3576 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.6826, + "step": 3577 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.6269, + "step": 3578 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.7606, + "step": 3579 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.6509, + "step": 3580 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.9197, + "step": 3581 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.7427, + "step": 3582 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.8359, + "step": 3583 + }, + { + "epoch": 0.9, + "learning_rate": 0.0002, + "loss": 0.5811, + "step": 3584 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.872, + "step": 3585 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.487, + "step": 3586 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.6209, + "step": 3587 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.6972, + "step": 3588 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.6286, + "step": 3589 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.586, + "step": 3590 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.7561, + "step": 3591 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.689, + "step": 3592 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.7904, + "step": 3593 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.8513, + "step": 3594 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.5322, + "step": 3595 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.6886, + "step": 3596 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.7327, + "step": 3597 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.8304, + "step": 3598 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.7209, + "step": 3599 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.4894, + "step": 3600 + }, + { + "epoch": 0.91, + "eval_loss": 0.6708835363388062, + "eval_runtime": 95.3171, + "eval_samples_per_second": 10.491, + "eval_steps_per_second": 5.246, + "step": 3600 + }, + { + "epoch": 0.91, + "mmlu_eval_accuracy": 0.5166361571816489, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449, + "mmlu_eval_accuracy_college_biology": 0.625, + "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": 0.5, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.36363636363636365, + "mmlu_eval_accuracy_conceptual_physics": 0.3076923076923077, + "mmlu_eval_accuracy_econometrics": 0.4166666666666667, + "mmlu_eval_accuracy_electrical_engineering": 0.1875, + "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, + "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": 0.22727272727272727, + "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": 0.46511627906976744, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.8, + "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, + "mmlu_eval_accuracy_human_aging": 0.6956521739130435, + "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": 0.7777777777777778, + "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, + "mmlu_eval_accuracy_management": 0.7272727272727273, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7093023255813954, + "mmlu_eval_accuracy_moral_disputes": 0.5, + "mmlu_eval_accuracy_moral_scenarios": 0.35, + "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_philosophy": 0.5588235294117647, + "mmlu_eval_accuracy_prehistory": 0.4857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.3548387096774194, + "mmlu_eval_accuracy_professional_law": 0.37058823529411766, + "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, + "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.4444444444444444, + "mmlu_eval_accuracy_sociology": 0.6818181818181818, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.631578947368421, + "mmlu_loss": 1.1685805069793298, + "step": 3600 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.4789, + "step": 3601 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.6501, + "step": 3602 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.7263, + "step": 3603 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 1.0048, + "step": 3604 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.6465, + "step": 3605 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.7784, + "step": 3606 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.7433, + "step": 3607 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.6047, + "step": 3608 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.8677, + "step": 3609 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.7047, + "step": 3610 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.5677, + "step": 3611 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.6161, + "step": 3612 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.6344, + "step": 3613 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.6235, + "step": 3614 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.6305, + "step": 3615 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.6177, + "step": 3616 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.6888, + "step": 3617 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.6487, + "step": 3618 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.691, + "step": 3619 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.5159, + "step": 3620 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.7921, + "step": 3621 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.601, + "step": 3622 + }, + { + "epoch": 0.91, + "learning_rate": 0.0002, + "loss": 0.8248, + "step": 3623 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.6506, + "step": 3624 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.9908, + "step": 3625 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.7199, + "step": 3626 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.7355, + "step": 3627 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.6504, + "step": 3628 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.6724, + "step": 3629 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.5985, + "step": 3630 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.8386, + "step": 3631 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.7538, + "step": 3632 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.5553, + "step": 3633 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.5704, + "step": 3634 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.8139, + "step": 3635 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.524, + "step": 3636 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.5219, + "step": 3637 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.6368, + "step": 3638 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.6376, + "step": 3639 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.7149, + "step": 3640 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.7379, + "step": 3641 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.9377, + "step": 3642 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.5764, + "step": 3643 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.6627, + "step": 3644 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.7926, + "step": 3645 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.8164, + "step": 3646 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.7685, + "step": 3647 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.7145, + "step": 3648 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.6393, + "step": 3649 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.8666, + "step": 3650 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.5934, + "step": 3651 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.693, + "step": 3652 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.5415, + "step": 3653 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.7551, + "step": 3654 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.6819, + "step": 3655 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.814, + "step": 3656 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.6121, + "step": 3657 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.7926, + "step": 3658 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.5461, + "step": 3659 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.8351, + "step": 3660 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.7107, + "step": 3661 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.6275, + "step": 3662 + }, + { + "epoch": 0.92, + "learning_rate": 0.0002, + "loss": 0.718, + "step": 3663 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.8929, + "step": 3664 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.651, + "step": 3665 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.6417, + "step": 3666 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.9249, + "step": 3667 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.4225, + "step": 3668 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.6992, + "step": 3669 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.7894, + "step": 3670 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.5388, + "step": 3671 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.6775, + "step": 3672 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.4596, + "step": 3673 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.6424, + "step": 3674 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.7045, + "step": 3675 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.7652, + "step": 3676 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.5587, + "step": 3677 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.6617, + "step": 3678 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.5361, + "step": 3679 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.8473, + "step": 3680 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.7748, + "step": 3681 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.6023, + "step": 3682 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.6315, + "step": 3683 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.7142, + "step": 3684 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.5727, + "step": 3685 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.7256, + "step": 3686 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.586, + "step": 3687 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.7309, + "step": 3688 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.5785, + "step": 3689 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.6416, + "step": 3690 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.5829, + "step": 3691 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.6312, + "step": 3692 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.7872, + "step": 3693 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.6256, + "step": 3694 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.7789, + "step": 3695 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.7152, + "step": 3696 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.708, + "step": 3697 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.5446, + "step": 3698 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.8514, + "step": 3699 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.778, + "step": 3700 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.7149, + "step": 3701 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.6292, + "step": 3702 + }, + { + "epoch": 0.93, + "learning_rate": 0.0002, + "loss": 0.6547, + "step": 3703 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.6241, + "step": 3704 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.7355, + "step": 3705 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.7025, + "step": 3706 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.5463, + "step": 3707 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.5594, + "step": 3708 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.8542, + "step": 3709 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.7338, + "step": 3710 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.7912, + "step": 3711 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.7254, + "step": 3712 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.6804, + "step": 3713 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.567, + "step": 3714 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.5888, + "step": 3715 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.8592, + "step": 3716 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.8067, + "step": 3717 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.5388, + "step": 3718 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.4992, + "step": 3719 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.6814, + "step": 3720 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.8667, + "step": 3721 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.5978, + "step": 3722 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.8378, + "step": 3723 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.7385, + "step": 3724 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.4831, + "step": 3725 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.7115, + "step": 3726 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.7263, + "step": 3727 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.8619, + "step": 3728 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.7382, + "step": 3729 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.5905, + "step": 3730 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.8102, + "step": 3731 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.5832, + "step": 3732 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.6273, + "step": 3733 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.7289, + "step": 3734 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.7085, + "step": 3735 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.5629, + "step": 3736 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.7657, + "step": 3737 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.7172, + "step": 3738 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.6347, + "step": 3739 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 1.0039, + "step": 3740 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.7372, + "step": 3741 + }, + { + "epoch": 0.94, + "learning_rate": 0.0002, + "loss": 0.5988, + "step": 3742 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.6089, + "step": 3743 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.6271, + "step": 3744 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.6897, + "step": 3745 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.6231, + "step": 3746 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.6795, + "step": 3747 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.7796, + "step": 3748 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.6152, + "step": 3749 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.5302, + "step": 3750 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.7051, + "step": 3751 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.7446, + "step": 3752 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.7955, + "step": 3753 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.7298, + "step": 3754 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.7309, + "step": 3755 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.6014, + "step": 3756 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.8159, + "step": 3757 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.807, + "step": 3758 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.7376, + "step": 3759 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.534, + "step": 3760 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.5398, + "step": 3761 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.7137, + "step": 3762 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.7914, + "step": 3763 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.7623, + "step": 3764 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.6785, + "step": 3765 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.8243, + "step": 3766 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.7172, + "step": 3767 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.8685, + "step": 3768 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.6041, + "step": 3769 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.5507, + "step": 3770 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.7125, + "step": 3771 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.6768, + "step": 3772 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.6623, + "step": 3773 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.7155, + "step": 3774 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.5148, + "step": 3775 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.6306, + "step": 3776 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.8202, + "step": 3777 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.6441, + "step": 3778 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.5884, + "step": 3779 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.8341, + "step": 3780 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.8139, + "step": 3781 + }, + { + "epoch": 0.95, + "learning_rate": 0.0002, + "loss": 0.6379, + "step": 3782 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.723, + "step": 3783 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.6659, + "step": 3784 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.6464, + "step": 3785 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.7558, + "step": 3786 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.7856, + "step": 3787 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 1.0004, + "step": 3788 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.6626, + "step": 3789 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.7623, + "step": 3790 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.7523, + "step": 3791 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.483, + "step": 3792 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.6638, + "step": 3793 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.8163, + "step": 3794 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.786, + "step": 3795 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.9296, + "step": 3796 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.5837, + "step": 3797 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.702, + "step": 3798 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.738, + "step": 3799 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.6617, + "step": 3800 + }, + { + "epoch": 0.96, + "eval_loss": 0.6705283522605896, + "eval_runtime": 95.1791, + "eval_samples_per_second": 10.507, + "eval_steps_per_second": 5.253, + "step": 3800 + }, + { + "epoch": 0.96, + "mmlu_eval_accuracy": 0.5573295585545966, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.5625, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, + "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, + "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": 0.4375, + "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": 0.5625, + "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": 0.5581395348837209, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, + "mmlu_eval_accuracy_high_school_physics": 0.058823529411764705, + "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": 0.6956521739130435, + "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": 0.36363636363636365, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, + "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, + "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, + "mmlu_eval_accuracy_moral_scenarios": 0.36, + "mmlu_eval_accuracy_nutrition": 0.5757575757575758, + "mmlu_eval_accuracy_philosophy": 0.7058823529411765, + "mmlu_eval_accuracy_prehistory": 0.4857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, + "mmlu_eval_accuracy_professional_law": 0.3764705882352941, + "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, + "mmlu_eval_accuracy_professional_psychology": 0.6521739130434783, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.6296296296296297, + "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": 0.7894736842105263, + "mmlu_loss": 1.0278269312984016, + "step": 3800 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.6993, + "step": 3801 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.7567, + "step": 3802 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.8043, + "step": 3803 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.6961, + "step": 3804 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.9341, + "step": 3805 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.5089, + "step": 3806 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.7642, + "step": 3807 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.7413, + "step": 3808 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.5898, + "step": 3809 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.5595, + "step": 3810 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.5402, + "step": 3811 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.5199, + "step": 3812 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.4343, + "step": 3813 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.6318, + "step": 3814 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.6748, + "step": 3815 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.8585, + "step": 3816 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.877, + "step": 3817 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.7913, + "step": 3818 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.5912, + "step": 3819 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.6862, + "step": 3820 + }, + { + "epoch": 0.96, + "learning_rate": 0.0002, + "loss": 0.6914, + "step": 3821 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.5816, + "step": 3822 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.7272, + "step": 3823 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.811, + "step": 3824 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.9286, + "step": 3825 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.6792, + "step": 3826 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.546, + "step": 3827 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.4992, + "step": 3828 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.7326, + "step": 3829 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.6248, + "step": 3830 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.6388, + "step": 3831 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.5662, + "step": 3832 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.8448, + "step": 3833 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.5336, + "step": 3834 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.7244, + "step": 3835 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.8218, + "step": 3836 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.755, + "step": 3837 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.6885, + "step": 3838 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.7364, + "step": 3839 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.745, + "step": 3840 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.712, + "step": 3841 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.6362, + "step": 3842 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.7095, + "step": 3843 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.7378, + "step": 3844 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.7647, + "step": 3845 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.5692, + "step": 3846 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.5205, + "step": 3847 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.777, + "step": 3848 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.7866, + "step": 3849 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.7861, + "step": 3850 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.756, + "step": 3851 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.8667, + "step": 3852 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.6313, + "step": 3853 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.6977, + "step": 3854 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.6854, + "step": 3855 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.5341, + "step": 3856 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.7625, + "step": 3857 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.8206, + "step": 3858 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.663, + "step": 3859 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.588, + "step": 3860 + }, + { + "epoch": 0.97, + "learning_rate": 0.0002, + "loss": 0.718, + "step": 3861 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.7373, + "step": 3862 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.5714, + "step": 3863 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.712, + "step": 3864 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.6948, + "step": 3865 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.7326, + "step": 3866 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.5864, + "step": 3867 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.7038, + "step": 3868 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.6724, + "step": 3869 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.6905, + "step": 3870 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.599, + "step": 3871 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.7652, + "step": 3872 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.9326, + "step": 3873 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.509, + "step": 3874 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.7342, + "step": 3875 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.6261, + "step": 3876 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.875, + "step": 3877 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.7368, + "step": 3878 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.627, + "step": 3879 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.5625, + "step": 3880 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.8237, + "step": 3881 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.8395, + "step": 3882 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.594, + "step": 3883 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.8316, + "step": 3884 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.5667, + "step": 3885 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.6846, + "step": 3886 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.6623, + "step": 3887 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.6332, + "step": 3888 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.6531, + "step": 3889 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.6887, + "step": 3890 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.7624, + "step": 3891 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.6461, + "step": 3892 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.6173, + "step": 3893 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.5641, + "step": 3894 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.6474, + "step": 3895 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.512, + "step": 3896 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.5768, + "step": 3897 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.6089, + "step": 3898 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.9734, + "step": 3899 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.7244, + "step": 3900 + }, + { + "epoch": 0.98, + "learning_rate": 0.0002, + "loss": 0.7291, + "step": 3901 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.6462, + "step": 3902 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.6148, + "step": 3903 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.688, + "step": 3904 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.6987, + "step": 3905 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.8022, + "step": 3906 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.7681, + "step": 3907 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.7273, + "step": 3908 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.6868, + "step": 3909 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.4681, + "step": 3910 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.5118, + "step": 3911 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.8534, + "step": 3912 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.3907, + "step": 3913 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.567, + "step": 3914 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.7, + "step": 3915 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.7574, + "step": 3916 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.7719, + "step": 3917 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.5792, + "step": 3918 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.6896, + "step": 3919 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.7461, + "step": 3920 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.6576, + "step": 3921 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.6151, + "step": 3922 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.5706, + "step": 3923 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.6571, + "step": 3924 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.6319, + "step": 3925 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.6095, + "step": 3926 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.6702, + "step": 3927 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.7593, + "step": 3928 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.7135, + "step": 3929 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.7433, + "step": 3930 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.6713, + "step": 3931 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.7252, + "step": 3932 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.8273, + "step": 3933 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.8948, + "step": 3934 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.6234, + "step": 3935 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.7215, + "step": 3936 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.6842, + "step": 3937 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.6244, + "step": 3938 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.6234, + "step": 3939 + }, + { + "epoch": 0.99, + "learning_rate": 0.0002, + "loss": 0.5345, + "step": 3940 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.8535, + "step": 3941 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.9654, + "step": 3942 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.6375, + "step": 3943 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.8801, + "step": 3944 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.7421, + "step": 3945 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.7935, + "step": 3946 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.8336, + "step": 3947 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.6489, + "step": 3948 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.7087, + "step": 3949 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.642, + "step": 3950 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.6, + "step": 3951 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.7581, + "step": 3952 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.5725, + "step": 3953 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.6709, + "step": 3954 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.6914, + "step": 3955 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.5551, + "step": 3956 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.6938, + "step": 3957 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.7759, + "step": 3958 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.6584, + "step": 3959 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.8372, + "step": 3960 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.7272, + "step": 3961 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.5568, + "step": 3962 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.676, + "step": 3963 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.5733, + "step": 3964 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.5383, + "step": 3965 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.467, + "step": 3966 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.6463, + "step": 3967 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.4497, + "step": 3968 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.5241, + "step": 3969 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.4196, + "step": 3970 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.5103, + "step": 3971 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.6586, + "step": 3972 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.6163, + "step": 3973 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.4988, + "step": 3974 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.5936, + "step": 3975 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.5054, + "step": 3976 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.6551, + "step": 3977 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.5334, + "step": 3978 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.5692, + "step": 3979 + }, + { + "epoch": 1.0, + "learning_rate": 0.0002, + "loss": 0.6071, + "step": 3980 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.553, + "step": 3981 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5866, + "step": 3982 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5439, + "step": 3983 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.618, + "step": 3984 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5602, + "step": 3985 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5109, + "step": 3986 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.632, + "step": 3987 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5672, + "step": 3988 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.3872, + "step": 3989 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.385, + "step": 3990 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5526, + "step": 3991 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5118, + "step": 3992 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5621, + "step": 3993 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.4683, + "step": 3994 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.4992, + "step": 3995 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.6465, + "step": 3996 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.4522, + "step": 3997 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5217, + "step": 3998 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5446, + "step": 3999 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5623, + "step": 4000 + }, + { + "epoch": 1.01, + "eval_loss": 0.6878678798675537, + "eval_runtime": 95.2021, + "eval_samples_per_second": 10.504, + "eval_steps_per_second": 5.252, + "step": 4000 + }, + { + "epoch": 1.01, + "mmlu_eval_accuracy": 0.5498830207356037, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.625, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.4375, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, + "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, + "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, + "mmlu_eval_accuracy_college_physics": 0.36363636363636365, + "mmlu_eval_accuracy_computer_security": 0.5454545454545454, + "mmlu_eval_accuracy_conceptual_physics": 0.5, + "mmlu_eval_accuracy_econometrics": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.5, + "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.2, + "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": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, + "mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, + "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, + "mmlu_eval_accuracy_high_school_psychology": 0.8, + "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.7692307692307693, + "mmlu_eval_accuracy_human_aging": 0.6521739130434783, + "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": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, + "mmlu_eval_accuracy_miscellaneous": 0.7906976744186046, + "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, + "mmlu_eval_accuracy_moral_scenarios": 0.36, + "mmlu_eval_accuracy_nutrition": 0.6060606060606061, + "mmlu_eval_accuracy_philosophy": 0.5882352941176471, + "mmlu_eval_accuracy_prehistory": 0.5142857142857142, + "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, + "mmlu_eval_accuracy_professional_law": 0.36470588235294116, + "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, + "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, + "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": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.6111111111111112, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.0706772221831056, + "step": 4000 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5209, + "step": 4001 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.594, + "step": 4002 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5999, + "step": 4003 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5804, + "step": 4004 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.6567, + "step": 4005 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5801, + "step": 4006 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.4405, + "step": 4007 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5405, + "step": 4008 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.4359, + "step": 4009 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.6743, + "step": 4010 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5996, + "step": 4011 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.6183, + "step": 4012 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.4223, + "step": 4013 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.3807, + "step": 4014 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5056, + "step": 4015 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.4935, + "step": 4016 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5675, + "step": 4017 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.5717, + "step": 4018 + }, + { + "epoch": 1.01, + "learning_rate": 0.0002, + "loss": 0.6599, + "step": 4019 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.4862, + "step": 4020 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.5982, + "step": 4021 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.5764, + "step": 4022 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.6184, + "step": 4023 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.3904, + "step": 4024 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.5353, + "step": 4025 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.4481, + "step": 4026 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.3968, + "step": 4027 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.3996, + "step": 4028 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.6581, + "step": 4029 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.4855, + "step": 4030 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.5432, + "step": 4031 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.6388, + "step": 4032 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.5966, + "step": 4033 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.4326, + "step": 4034 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.4641, + "step": 4035 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.4421, + "step": 4036 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.4632, + "step": 4037 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.5471, + "step": 4038 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.8367, + "step": 4039 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.4664, + "step": 4040 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.5849, + "step": 4041 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.4748, + "step": 4042 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.7207, + "step": 4043 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.628, + "step": 4044 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.5092, + "step": 4045 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.4651, + "step": 4046 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.6256, + "step": 4047 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.5403, + "step": 4048 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.4564, + "step": 4049 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.5059, + "step": 4050 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.5639, + "step": 4051 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.7035, + "step": 4052 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.6855, + "step": 4053 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.5461, + "step": 4054 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.6859, + "step": 4055 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.564, + "step": 4056 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.7571, + "step": 4057 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.5013, + "step": 4058 + }, + { + "epoch": 1.02, + "learning_rate": 0.0002, + "loss": 0.5153, + "step": 4059 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.5338, + "step": 4060 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.6249, + "step": 4061 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.573, + "step": 4062 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.4918, + "step": 4063 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.5159, + "step": 4064 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.6163, + "step": 4065 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.7282, + "step": 4066 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.6119, + "step": 4067 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.6005, + "step": 4068 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.6215, + "step": 4069 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.4319, + "step": 4070 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.673, + "step": 4071 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.4638, + "step": 4072 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.6926, + "step": 4073 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.6299, + "step": 4074 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.4417, + "step": 4075 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.5886, + "step": 4076 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.4932, + "step": 4077 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.4047, + "step": 4078 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.6232, + "step": 4079 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.4848, + "step": 4080 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.5382, + "step": 4081 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.4533, + "step": 4082 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.5007, + "step": 4083 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.5415, + "step": 4084 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.4501, + "step": 4085 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.4224, + "step": 4086 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.4361, + "step": 4087 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.5793, + "step": 4088 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.6111, + "step": 4089 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.7696, + "step": 4090 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.4691, + "step": 4091 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.5827, + "step": 4092 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.6594, + "step": 4093 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.4468, + "step": 4094 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.4792, + "step": 4095 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.8412, + "step": 4096 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.6359, + "step": 4097 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.4183, + "step": 4098 + }, + { + "epoch": 1.03, + "learning_rate": 0.0002, + "loss": 0.435, + "step": 4099 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.4681, + "step": 4100 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.5432, + "step": 4101 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.4617, + "step": 4102 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.6412, + "step": 4103 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.4875, + "step": 4104 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.4718, + "step": 4105 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.6359, + "step": 4106 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.646, + "step": 4107 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.507, + "step": 4108 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.483, + "step": 4109 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.6535, + "step": 4110 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.5435, + "step": 4111 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.648, + "step": 4112 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.4541, + "step": 4113 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.5552, + "step": 4114 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.8071, + "step": 4115 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.6023, + "step": 4116 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.5689, + "step": 4117 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.5954, + "step": 4118 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.5699, + "step": 4119 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.706, + "step": 4120 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.5403, + "step": 4121 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.5731, + "step": 4122 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.5752, + "step": 4123 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.5276, + "step": 4124 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.4479, + "step": 4125 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.5288, + "step": 4126 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.5569, + "step": 4127 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.5387, + "step": 4128 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.494, + "step": 4129 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.437, + "step": 4130 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.6534, + "step": 4131 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.5642, + "step": 4132 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.6517, + "step": 4133 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.5842, + "step": 4134 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.5659, + "step": 4135 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.6962, + "step": 4136 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.6617, + "step": 4137 + }, + { + "epoch": 1.04, + "learning_rate": 0.0002, + "loss": 0.6121, + "step": 4138 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.5148, + "step": 4139 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.4667, + "step": 4140 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.4927, + "step": 4141 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.4963, + "step": 4142 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.5976, + "step": 4143 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.5732, + "step": 4144 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.609, + "step": 4145 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.6614, + "step": 4146 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.4503, + "step": 4147 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.4783, + "step": 4148 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.8362, + "step": 4149 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.4436, + "step": 4150 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.6464, + "step": 4151 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.588, + "step": 4152 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.4367, + "step": 4153 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.4124, + "step": 4154 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.6021, + "step": 4155 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.5263, + "step": 4156 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.7547, + "step": 4157 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.5429, + "step": 4158 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.4646, + "step": 4159 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.5201, + "step": 4160 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.7144, + "step": 4161 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.5387, + "step": 4162 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.2825, + "step": 4163 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.5659, + "step": 4164 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.6383, + "step": 4165 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.5688, + "step": 4166 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.7189, + "step": 4167 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.6449, + "step": 4168 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.4725, + "step": 4169 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.6058, + "step": 4170 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.5928, + "step": 4171 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.5038, + "step": 4172 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.563, + "step": 4173 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.5499, + "step": 4174 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.6782, + "step": 4175 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.7298, + "step": 4176 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.5398, + "step": 4177 + }, + { + "epoch": 1.05, + "learning_rate": 0.0002, + "loss": 0.4543, + "step": 4178 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.5306, + "step": 4179 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.5919, + "step": 4180 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.5129, + "step": 4181 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.4405, + "step": 4182 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.4311, + "step": 4183 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.5937, + "step": 4184 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.5964, + "step": 4185 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.4314, + "step": 4186 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.5048, + "step": 4187 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.68, + "step": 4188 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.5273, + "step": 4189 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.5054, + "step": 4190 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.5356, + "step": 4191 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.6112, + "step": 4192 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.3949, + "step": 4193 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.5252, + "step": 4194 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.7244, + "step": 4195 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.571, + "step": 4196 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.29, + "step": 4197 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.5776, + "step": 4198 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.6208, + "step": 4199 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.4856, + "step": 4200 + }, + { + "epoch": 1.06, + "eval_loss": 0.6841187477111816, + "eval_runtime": 95.1701, + "eval_samples_per_second": 10.508, + "eval_steps_per_second": 5.254, + "step": 4200 + }, + { + "epoch": 1.06, + "mmlu_eval_accuracy": 0.5766488931448648, + "mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "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": 0.18181818181818182, + "mmlu_eval_accuracy_college_mathematics": 0.6363636363636364, + "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": 0.4230769230769231, + "mmlu_eval_accuracy_econometrics": 0.5833333333333334, + "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": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.46875, + "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, + "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": 0.3103448275862069, + "mmlu_eval_accuracy_high_school_microeconomics": 0.7307692307692307, + "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": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.7692307692307693, + "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": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.7222222222222222, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.92, + "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": 0.34, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.6176470588235294, + "mmlu_eval_accuracy_prehistory": 0.5714285714285714, + "mmlu_eval_accuracy_professional_accounting": 0.6129032258064516, + "mmlu_eval_accuracy_professional_law": 0.38235294117647056, + "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, + "mmlu_eval_accuracy_professional_psychology": 0.6376811594202898, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "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": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.0664506796796078, + "step": 4200 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.7489, + "step": 4201 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.5724, + "step": 4202 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.4563, + "step": 4203 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.5388, + "step": 4204 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.6799, + "step": 4205 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.5148, + "step": 4206 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.4135, + "step": 4207 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.4278, + "step": 4208 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.6185, + "step": 4209 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.5221, + "step": 4210 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.4916, + "step": 4211 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.645, + "step": 4212 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.6695, + "step": 4213 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.6328, + "step": 4214 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.6116, + "step": 4215 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.6419, + "step": 4216 + }, + { + "epoch": 1.06, + "learning_rate": 0.0002, + "loss": 0.649, + "step": 4217 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.4468, + "step": 4218 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.4877, + "step": 4219 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.6645, + "step": 4220 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.5161, + "step": 4221 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.5249, + "step": 4222 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.5486, + "step": 4223 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.4983, + "step": 4224 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.4889, + "step": 4225 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.3955, + "step": 4226 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.6341, + "step": 4227 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.4966, + "step": 4228 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.72, + "step": 4229 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.4581, + "step": 4230 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.5381, + "step": 4231 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.5353, + "step": 4232 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.334, + "step": 4233 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.5255, + "step": 4234 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.4695, + "step": 4235 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.6378, + "step": 4236 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.5791, + "step": 4237 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.5729, + "step": 4238 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.5122, + "step": 4239 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.4688, + "step": 4240 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.5283, + "step": 4241 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.5545, + "step": 4242 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.7214, + "step": 4243 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.3886, + "step": 4244 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.497, + "step": 4245 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.5935, + "step": 4246 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.5296, + "step": 4247 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.7393, + "step": 4248 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.4779, + "step": 4249 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.4976, + "step": 4250 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.56, + "step": 4251 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.6187, + "step": 4252 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.4412, + "step": 4253 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.5546, + "step": 4254 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.5941, + "step": 4255 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.589, + "step": 4256 + }, + { + "epoch": 1.07, + "learning_rate": 0.0002, + "loss": 0.5292, + "step": 4257 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.4892, + "step": 4258 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.629, + "step": 4259 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.6008, + "step": 4260 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.4789, + "step": 4261 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.5009, + "step": 4262 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.4448, + "step": 4263 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.5036, + "step": 4264 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.5337, + "step": 4265 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.7822, + "step": 4266 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.5401, + "step": 4267 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.6314, + "step": 4268 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.754, + "step": 4269 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.5307, + "step": 4270 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.5518, + "step": 4271 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.4964, + "step": 4272 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.6533, + "step": 4273 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.6659, + "step": 4274 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.6437, + "step": 4275 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.569, + "step": 4276 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.4848, + "step": 4277 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.3922, + "step": 4278 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.5134, + "step": 4279 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.6436, + "step": 4280 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.5109, + "step": 4281 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.6161, + "step": 4282 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.4277, + "step": 4283 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.4852, + "step": 4284 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.4788, + "step": 4285 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.6165, + "step": 4286 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.5527, + "step": 4287 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.7436, + "step": 4288 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.6597, + "step": 4289 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.669, + "step": 4290 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.5583, + "step": 4291 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.4624, + "step": 4292 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.5889, + "step": 4293 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.4694, + "step": 4294 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.5706, + "step": 4295 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.3557, + "step": 4296 + }, + { + "epoch": 1.08, + "learning_rate": 0.0002, + "loss": 0.638, + "step": 4297 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.4497, + "step": 4298 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.6154, + "step": 4299 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.5231, + "step": 4300 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.6016, + "step": 4301 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.5487, + "step": 4302 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.5375, + "step": 4303 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.5377, + "step": 4304 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.4956, + "step": 4305 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.6385, + "step": 4306 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.5394, + "step": 4307 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.5933, + "step": 4308 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.6501, + "step": 4309 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.4612, + "step": 4310 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.537, + "step": 4311 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.5358, + "step": 4312 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.4713, + "step": 4313 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.3881, + "step": 4314 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.4749, + "step": 4315 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.3677, + "step": 4316 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.5959, + "step": 4317 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.589, + "step": 4318 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.5677, + "step": 4319 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.4721, + "step": 4320 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.5153, + "step": 4321 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.5778, + "step": 4322 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.6233, + "step": 4323 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.5327, + "step": 4324 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.628, + "step": 4325 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.5307, + "step": 4326 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.6051, + "step": 4327 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.6342, + "step": 4328 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.637, + "step": 4329 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.5514, + "step": 4330 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.5351, + "step": 4331 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.6365, + "step": 4332 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.5842, + "step": 4333 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.683, + "step": 4334 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.7285, + "step": 4335 + }, + { + "epoch": 1.09, + "learning_rate": 0.0002, + "loss": 0.5115, + "step": 4336 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.443, + "step": 4337 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.5982, + "step": 4338 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.5287, + "step": 4339 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.59, + "step": 4340 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.5715, + "step": 4341 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.6346, + "step": 4342 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.5485, + "step": 4343 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.4563, + "step": 4344 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.707, + "step": 4345 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.4407, + "step": 4346 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.5081, + "step": 4347 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.6083, + "step": 4348 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.4506, + "step": 4349 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.4233, + "step": 4350 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.4879, + "step": 4351 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.5191, + "step": 4352 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.5554, + "step": 4353 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.6743, + "step": 4354 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.6418, + "step": 4355 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.6511, + "step": 4356 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.6126, + "step": 4357 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.5017, + "step": 4358 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.4872, + "step": 4359 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.4975, + "step": 4360 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.5871, + "step": 4361 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.6245, + "step": 4362 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.6086, + "step": 4363 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.5675, + "step": 4364 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.5819, + "step": 4365 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.483, + "step": 4366 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.5275, + "step": 4367 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.5063, + "step": 4368 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.4873, + "step": 4369 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.5596, + "step": 4370 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.6884, + "step": 4371 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.4141, + "step": 4372 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.5443, + "step": 4373 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.4654, + "step": 4374 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.5122, + "step": 4375 + }, + { + "epoch": 1.1, + "learning_rate": 0.0002, + "loss": 0.4528, + "step": 4376 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.5328, + "step": 4377 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.345, + "step": 4378 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.5324, + "step": 4379 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.4968, + "step": 4380 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.5136, + "step": 4381 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.5757, + "step": 4382 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.6065, + "step": 4383 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.6727, + "step": 4384 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.5231, + "step": 4385 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.5116, + "step": 4386 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.5653, + "step": 4387 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.7939, + "step": 4388 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.5713, + "step": 4389 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.5604, + "step": 4390 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.6166, + "step": 4391 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.6088, + "step": 4392 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.3933, + "step": 4393 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.536, + "step": 4394 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.6382, + "step": 4395 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.4734, + "step": 4396 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.6523, + "step": 4397 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.4696, + "step": 4398 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.4104, + "step": 4399 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.6477, + "step": 4400 + }, + { + "epoch": 1.11, + "eval_loss": 0.6899651288986206, + "eval_runtime": 95.1869, + "eval_samples_per_second": 10.506, + "eval_steps_per_second": 5.253, + "step": 4400 + }, + { + "epoch": 1.11, + "mmlu_eval_accuracy": 0.569142318217965, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.5625, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "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": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, + "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": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.5, + "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": 0.2727272727272727, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, + "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, + "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, + "mmlu_eval_accuracy_high_school_us_history": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, + "mmlu_eval_accuracy_human_aging": 0.6956521739130435, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "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": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.7272727272727273, + "mmlu_eval_accuracy_marketing": 0.92, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.36, + "mmlu_eval_accuracy_nutrition": 0.6363636363636364, + "mmlu_eval_accuracy_philosophy": 0.7058823529411765, + "mmlu_eval_accuracy_prehistory": 0.5714285714285714, + "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, + "mmlu_eval_accuracy_professional_law": 0.3764705882352941, + "mmlu_eval_accuracy_professional_medicine": 0.6774193548387096, + "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.6296296296296297, + "mmlu_eval_accuracy_sociology": 0.7727272727272727, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.0513026567064128, + "step": 4400 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.6382, + "step": 4401 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.6153, + "step": 4402 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.6705, + "step": 4403 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.5714, + "step": 4404 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.6558, + "step": 4405 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.5524, + "step": 4406 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.6115, + "step": 4407 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.6102, + "step": 4408 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.5511, + "step": 4409 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.7366, + "step": 4410 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.4206, + "step": 4411 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.4761, + "step": 4412 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.4656, + "step": 4413 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.6288, + "step": 4414 + }, + { + "epoch": 1.11, + "learning_rate": 0.0002, + "loss": 0.5587, + "step": 4415 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.3989, + "step": 4416 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.4187, + "step": 4417 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.709, + "step": 4418 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.4456, + "step": 4419 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.4888, + "step": 4420 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.5675, + "step": 4421 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.5463, + "step": 4422 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.662, + "step": 4423 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.7023, + "step": 4424 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.6461, + "step": 4425 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.4898, + "step": 4426 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.3107, + "step": 4427 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.4043, + "step": 4428 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.5394, + "step": 4429 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.5393, + "step": 4430 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.5905, + "step": 4431 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.4922, + "step": 4432 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.5126, + "step": 4433 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.535, + "step": 4434 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.5837, + "step": 4435 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.612, + "step": 4436 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.6008, + "step": 4437 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.4431, + "step": 4438 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.4769, + "step": 4439 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.698, + "step": 4440 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.6207, + "step": 4441 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.6388, + "step": 4442 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.5788, + "step": 4443 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.4711, + "step": 4444 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.5491, + "step": 4445 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.6337, + "step": 4446 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.5394, + "step": 4447 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.4839, + "step": 4448 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.5184, + "step": 4449 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.5631, + "step": 4450 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.6198, + "step": 4451 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.5647, + "step": 4452 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.51, + "step": 4453 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.4432, + "step": 4454 + }, + { + "epoch": 1.12, + "learning_rate": 0.0002, + "loss": 0.5863, + "step": 4455 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.3558, + "step": 4456 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.65, + "step": 4457 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.4509, + "step": 4458 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.6159, + "step": 4459 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.5483, + "step": 4460 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.4796, + "step": 4461 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.5525, + "step": 4462 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.5639, + "step": 4463 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.5549, + "step": 4464 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.5469, + "step": 4465 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.4607, + "step": 4466 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.6273, + "step": 4467 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.5048, + "step": 4468 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.6241, + "step": 4469 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.5662, + "step": 4470 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.402, + "step": 4471 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.6423, + "step": 4472 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.606, + "step": 4473 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.6341, + "step": 4474 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.6599, + "step": 4475 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.4484, + "step": 4476 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.5476, + "step": 4477 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.6365, + "step": 4478 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.4978, + "step": 4479 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.503, + "step": 4480 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.6954, + "step": 4481 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.5419, + "step": 4482 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.5066, + "step": 4483 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.4663, + "step": 4484 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.4795, + "step": 4485 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.5696, + "step": 4486 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.565, + "step": 4487 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.5372, + "step": 4488 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.5579, + "step": 4489 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.57, + "step": 4490 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.5763, + "step": 4491 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.5073, + "step": 4492 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.5281, + "step": 4493 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.6357, + "step": 4494 + }, + { + "epoch": 1.13, + "learning_rate": 0.0002, + "loss": 0.5693, + "step": 4495 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.5335, + "step": 4496 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.468, + "step": 4497 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.6059, + "step": 4498 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.5556, + "step": 4499 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.575, + "step": 4500 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.4929, + "step": 4501 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.4629, + "step": 4502 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.6169, + "step": 4503 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.4847, + "step": 4504 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.5288, + "step": 4505 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.614, + "step": 4506 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.4248, + "step": 4507 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.6459, + "step": 4508 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.3726, + "step": 4509 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.5215, + "step": 4510 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.5508, + "step": 4511 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.5045, + "step": 4512 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.688, + "step": 4513 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.5984, + "step": 4514 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.4723, + "step": 4515 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.6459, + "step": 4516 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.511, + "step": 4517 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.5116, + "step": 4518 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.5958, + "step": 4519 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.6924, + "step": 4520 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.5117, + "step": 4521 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.6781, + "step": 4522 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.6946, + "step": 4523 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.5552, + "step": 4524 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.4815, + "step": 4525 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.6012, + "step": 4526 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.5442, + "step": 4527 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.5967, + "step": 4528 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.6304, + "step": 4529 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.6422, + "step": 4530 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.5848, + "step": 4531 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.5393, + "step": 4532 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.6504, + "step": 4533 + }, + { + "epoch": 1.14, + "learning_rate": 0.0002, + "loss": 0.5112, + "step": 4534 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.4555, + "step": 4535 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.5365, + "step": 4536 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.5847, + "step": 4537 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.4455, + "step": 4538 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.4637, + "step": 4539 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.6245, + "step": 4540 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.506, + "step": 4541 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.6856, + "step": 4542 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.686, + "step": 4543 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.4917, + "step": 4544 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.7167, + "step": 4545 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.5785, + "step": 4546 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.5864, + "step": 4547 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.5981, + "step": 4548 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.5903, + "step": 4549 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.5988, + "step": 4550 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.7757, + "step": 4551 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.7888, + "step": 4552 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.6732, + "step": 4553 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.5997, + "step": 4554 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.701, + "step": 4555 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.5077, + "step": 4556 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.5188, + "step": 4557 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.4909, + "step": 4558 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.7399, + "step": 4559 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.6608, + "step": 4560 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.4268, + "step": 4561 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.547, + "step": 4562 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.4589, + "step": 4563 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.4376, + "step": 4564 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.5548, + "step": 4565 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.5747, + "step": 4566 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.4096, + "step": 4567 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.5415, + "step": 4568 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.5066, + "step": 4569 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.4235, + "step": 4570 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.5796, + "step": 4571 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.4122, + "step": 4572 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.5298, + "step": 4573 + }, + { + "epoch": 1.15, + "learning_rate": 0.0002, + "loss": 0.5062, + "step": 4574 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.5375, + "step": 4575 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.4565, + "step": 4576 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.5425, + "step": 4577 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.4206, + "step": 4578 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.4412, + "step": 4579 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.5014, + "step": 4580 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.5583, + "step": 4581 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.4576, + "step": 4582 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.5944, + "step": 4583 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.5011, + "step": 4584 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.564, + "step": 4585 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.7944, + "step": 4586 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.4073, + "step": 4587 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.6868, + "step": 4588 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.5232, + "step": 4589 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.486, + "step": 4590 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.4697, + "step": 4591 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.4742, + "step": 4592 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.5592, + "step": 4593 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.4588, + "step": 4594 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.4703, + "step": 4595 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.5191, + "step": 4596 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.5603, + "step": 4597 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.6671, + "step": 4598 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.4655, + "step": 4599 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.4927, + "step": 4600 + }, + { + "epoch": 1.16, + "eval_loss": 0.6859954595565796, + "eval_runtime": 95.2183, + "eval_samples_per_second": 10.502, + "eval_steps_per_second": 5.251, + "step": 4600 + }, + { + "epoch": 1.16, + "mmlu_eval_accuracy": 0.5734816806224002, + "mmlu_eval_accuracy_abstract_algebra": 0.5454545454545454, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449, + "mmlu_eval_accuracy_college_biology": 0.625, + "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": 0.5, + "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": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.5625, + "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": 0.5625, + "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": 0.7727272727272727, + "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": 0.6538461538461539, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.85, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, + "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": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.92, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7674418604651163, + "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, + "mmlu_eval_accuracy_moral_scenarios": 0.31, + "mmlu_eval_accuracy_nutrition": 0.6060606060606061, + "mmlu_eval_accuracy_philosophy": 0.6764705882352942, + "mmlu_eval_accuracy_prehistory": 0.6, + "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, + "mmlu_eval_accuracy_professional_law": 0.38235294117647056, + "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, + "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": 0.7272727272727273, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 1.2365319278509437, + "step": 4600 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.636, + "step": 4601 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.6057, + "step": 4602 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.5041, + "step": 4603 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.6205, + "step": 4604 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.6655, + "step": 4605 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.5028, + "step": 4606 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.606, + "step": 4607 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.6157, + "step": 4608 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.5176, + "step": 4609 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.6215, + "step": 4610 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.5665, + "step": 4611 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.5147, + "step": 4612 + }, + { + "epoch": 1.16, + "learning_rate": 0.0002, + "loss": 0.6136, + "step": 4613 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.5613, + "step": 4614 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.5123, + "step": 4615 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.4128, + "step": 4616 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.6357, + "step": 4617 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.5277, + "step": 4618 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.4212, + "step": 4619 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.5393, + "step": 4620 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.524, + "step": 4621 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.3932, + "step": 4622 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.4556, + "step": 4623 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.683, + "step": 4624 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.7678, + "step": 4625 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.6272, + "step": 4626 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.5338, + "step": 4627 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.6017, + "step": 4628 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.654, + "step": 4629 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.4669, + "step": 4630 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.693, + "step": 4631 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.5937, + "step": 4632 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.3799, + "step": 4633 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.5433, + "step": 4634 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.6674, + "step": 4635 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.6487, + "step": 4636 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.6629, + "step": 4637 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.5592, + "step": 4638 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.5888, + "step": 4639 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.5285, + "step": 4640 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.4252, + "step": 4641 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.6611, + "step": 4642 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.6023, + "step": 4643 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.5911, + "step": 4644 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.5711, + "step": 4645 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.5903, + "step": 4646 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.6399, + "step": 4647 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.3994, + "step": 4648 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.6443, + "step": 4649 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.4619, + "step": 4650 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.4125, + "step": 4651 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.5855, + "step": 4652 + }, + { + "epoch": 1.17, + "learning_rate": 0.0002, + "loss": 0.522, + "step": 4653 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.5093, + "step": 4654 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.4441, + "step": 4655 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.5423, + "step": 4656 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.5126, + "step": 4657 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.5399, + "step": 4658 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.808, + "step": 4659 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.4966, + "step": 4660 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.5841, + "step": 4661 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.4994, + "step": 4662 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.4679, + "step": 4663 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.4368, + "step": 4664 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.4928, + "step": 4665 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.4822, + "step": 4666 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.4935, + "step": 4667 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.5373, + "step": 4668 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.5564, + "step": 4669 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.5633, + "step": 4670 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.6239, + "step": 4671 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.509, + "step": 4672 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.5349, + "step": 4673 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.5416, + "step": 4674 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.4343, + "step": 4675 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.4737, + "step": 4676 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.7409, + "step": 4677 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.5313, + "step": 4678 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.5691, + "step": 4679 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.614, + "step": 4680 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.708, + "step": 4681 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.6569, + "step": 4682 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.5295, + "step": 4683 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.5859, + "step": 4684 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.4123, + "step": 4685 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.5852, + "step": 4686 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.6352, + "step": 4687 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.5387, + "step": 4688 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.5325, + "step": 4689 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.5184, + "step": 4690 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.7052, + "step": 4691 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.4732, + "step": 4692 + }, + { + "epoch": 1.18, + "learning_rate": 0.0002, + "loss": 0.5764, + "step": 4693 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.4208, + "step": 4694 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.6147, + "step": 4695 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.5733, + "step": 4696 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.6624, + "step": 4697 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.5315, + "step": 4698 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.8823, + "step": 4699 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.7249, + "step": 4700 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.5856, + "step": 4701 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.7273, + "step": 4702 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.8703, + "step": 4703 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.4643, + "step": 4704 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.6806, + "step": 4705 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.4784, + "step": 4706 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.6387, + "step": 4707 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.6252, + "step": 4708 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.4044, + "step": 4709 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.5793, + "step": 4710 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.4513, + "step": 4711 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.4945, + "step": 4712 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.4255, + "step": 4713 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.5719, + "step": 4714 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.5238, + "step": 4715 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.5986, + "step": 4716 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.531, + "step": 4717 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.6995, + "step": 4718 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.6393, + "step": 4719 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.5507, + "step": 4720 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.4636, + "step": 4721 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.4466, + "step": 4722 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.7619, + "step": 4723 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.5216, + "step": 4724 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.4517, + "step": 4725 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.6889, + "step": 4726 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.4538, + "step": 4727 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.5798, + "step": 4728 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.4937, + "step": 4729 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.7092, + "step": 4730 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.5936, + "step": 4731 + }, + { + "epoch": 1.19, + "learning_rate": 0.0002, + "loss": 0.5451, + "step": 4732 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.4818, + "step": 4733 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.5823, + "step": 4734 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.4859, + "step": 4735 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.6518, + "step": 4736 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.5366, + "step": 4737 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.7129, + "step": 4738 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.628, + "step": 4739 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.7069, + "step": 4740 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.5716, + "step": 4741 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.5735, + "step": 4742 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.4872, + "step": 4743 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.5652, + "step": 4744 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.6474, + "step": 4745 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.5278, + "step": 4746 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.5742, + "step": 4747 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.5599, + "step": 4748 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.6548, + "step": 4749 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.4999, + "step": 4750 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.4969, + "step": 4751 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.5636, + "step": 4752 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.4931, + "step": 4753 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.6968, + "step": 4754 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.5733, + "step": 4755 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.6032, + "step": 4756 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.5331, + "step": 4757 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.5022, + "step": 4758 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.5376, + "step": 4759 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.4263, + "step": 4760 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.5719, + "step": 4761 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.4278, + "step": 4762 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.5617, + "step": 4763 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.6382, + "step": 4764 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.623, + "step": 4765 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.4013, + "step": 4766 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.6126, + "step": 4767 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.5876, + "step": 4768 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.5797, + "step": 4769 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.4576, + "step": 4770 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.7014, + "step": 4771 + }, + { + "epoch": 1.2, + "learning_rate": 0.0002, + "loss": 0.5512, + "step": 4772 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.549, + "step": 4773 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.5465, + "step": 4774 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.5172, + "step": 4775 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.5955, + "step": 4776 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.5164, + "step": 4777 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.5887, + "step": 4778 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.535, + "step": 4779 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.5921, + "step": 4780 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.59, + "step": 4781 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.5442, + "step": 4782 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.5515, + "step": 4783 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.488, + "step": 4784 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.6051, + "step": 4785 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.6124, + "step": 4786 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.5647, + "step": 4787 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.6206, + "step": 4788 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.5362, + "step": 4789 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.7647, + "step": 4790 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.6581, + "step": 4791 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.717, + "step": 4792 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.4792, + "step": 4793 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.4808, + "step": 4794 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.5475, + "step": 4795 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.4833, + "step": 4796 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.6649, + "step": 4797 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.5954, + "step": 4798 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.5474, + "step": 4799 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.5548, + "step": 4800 + }, + { + "epoch": 1.21, + "eval_loss": 0.6838496327400208, + "eval_runtime": 95.2939, + "eval_samples_per_second": 10.494, + "eval_steps_per_second": 5.247, + "step": 4800 + }, + { + "epoch": 1.21, + "mmlu_eval_accuracy": 0.5895134830016961, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.625, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, + "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, + "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, + "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": 0.5833333333333334, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.35714285714285715, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.59375, + "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6923076923076923, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.8461538461538461, + "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": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.92, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7790697674418605, + "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, + "mmlu_eval_accuracy_moral_scenarios": 0.38, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.6470588235294118, + "mmlu_eval_accuracy_prehistory": 0.6285714285714286, + "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, + "mmlu_eval_accuracy_professional_law": 0.40588235294117647, + "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, + "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "mmlu_eval_accuracy_sociology": 0.8181818181818182, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 0.9336407830447503, + "step": 4800 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.7219, + "step": 4801 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.5551, + "step": 4802 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.5836, + "step": 4803 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.4595, + "step": 4804 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.4269, + "step": 4805 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.6137, + "step": 4806 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.5492, + "step": 4807 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.571, + "step": 4808 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.5418, + "step": 4809 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.6969, + "step": 4810 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.4101, + "step": 4811 + }, + { + "epoch": 1.21, + "learning_rate": 0.0002, + "loss": 0.544, + "step": 4812 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.4588, + "step": 4813 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.4939, + "step": 4814 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.6882, + "step": 4815 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.4926, + "step": 4816 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.4106, + "step": 4817 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.4798, + "step": 4818 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.6146, + "step": 4819 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.5918, + "step": 4820 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.5445, + "step": 4821 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.465, + "step": 4822 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.6044, + "step": 4823 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.4702, + "step": 4824 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.6705, + "step": 4825 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.6433, + "step": 4826 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.4688, + "step": 4827 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.4438, + "step": 4828 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.4753, + "step": 4829 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.5053, + "step": 4830 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.5024, + "step": 4831 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.6306, + "step": 4832 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.7828, + "step": 4833 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.5165, + "step": 4834 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.491, + "step": 4835 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.4702, + "step": 4836 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.5915, + "step": 4837 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.724, + "step": 4838 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.6235, + "step": 4839 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.6685, + "step": 4840 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.607, + "step": 4841 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.4735, + "step": 4842 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.6259, + "step": 4843 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.5253, + "step": 4844 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.4732, + "step": 4845 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.5082, + "step": 4846 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.7171, + "step": 4847 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.5334, + "step": 4848 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.5238, + "step": 4849 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.5084, + "step": 4850 + }, + { + "epoch": 1.22, + "learning_rate": 0.0002, + "loss": 0.6093, + "step": 4851 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.6456, + "step": 4852 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.5504, + "step": 4853 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.4365, + "step": 4854 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.4758, + "step": 4855 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.5525, + "step": 4856 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.5265, + "step": 4857 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.6967, + "step": 4858 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.6982, + "step": 4859 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.4895, + "step": 4860 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.6346, + "step": 4861 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.5361, + "step": 4862 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.4701, + "step": 4863 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.782, + "step": 4864 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.6653, + "step": 4865 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.5309, + "step": 4866 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.6194, + "step": 4867 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.4947, + "step": 4868 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.6769, + "step": 4869 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.6095, + "step": 4870 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.6723, + "step": 4871 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.6478, + "step": 4872 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.5321, + "step": 4873 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.4047, + "step": 4874 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.6598, + "step": 4875 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.5632, + "step": 4876 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.4802, + "step": 4877 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.5666, + "step": 4878 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.5197, + "step": 4879 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.6501, + "step": 4880 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.4445, + "step": 4881 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.4884, + "step": 4882 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.6801, + "step": 4883 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.4661, + "step": 4884 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.4543, + "step": 4885 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.6136, + "step": 4886 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.6719, + "step": 4887 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.5026, + "step": 4888 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.6693, + "step": 4889 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.4911, + "step": 4890 + }, + { + "epoch": 1.23, + "learning_rate": 0.0002, + "loss": 0.611, + "step": 4891 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.5007, + "step": 4892 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.5226, + "step": 4893 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.7229, + "step": 4894 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.3544, + "step": 4895 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.5541, + "step": 4896 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.6196, + "step": 4897 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.5398, + "step": 4898 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.6206, + "step": 4899 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.4916, + "step": 4900 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.5683, + "step": 4901 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.4989, + "step": 4902 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.4248, + "step": 4903 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.5114, + "step": 4904 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.5409, + "step": 4905 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.6178, + "step": 4906 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.6315, + "step": 4907 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.5436, + "step": 4908 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.5165, + "step": 4909 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.4638, + "step": 4910 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.5229, + "step": 4911 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.5963, + "step": 4912 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.5511, + "step": 4913 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.4497, + "step": 4914 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.5963, + "step": 4915 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.6768, + "step": 4916 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.6042, + "step": 4917 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.6659, + "step": 4918 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.7143, + "step": 4919 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.578, + "step": 4920 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.4701, + "step": 4921 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.4948, + "step": 4922 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.4863, + "step": 4923 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.582, + "step": 4924 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.5379, + "step": 4925 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.5347, + "step": 4926 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.6287, + "step": 4927 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.6728, + "step": 4928 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.5561, + "step": 4929 + }, + { + "epoch": 1.24, + "learning_rate": 0.0002, + "loss": 0.5013, + "step": 4930 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.5953, + "step": 4931 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.5381, + "step": 4932 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.6671, + "step": 4933 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.5833, + "step": 4934 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.6502, + "step": 4935 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.5658, + "step": 4936 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.555, + "step": 4937 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.6914, + "step": 4938 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.7362, + "step": 4939 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.6725, + "step": 4940 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.6915, + "step": 4941 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.5178, + "step": 4942 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.6056, + "step": 4943 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.5169, + "step": 4944 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.5194, + "step": 4945 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.6902, + "step": 4946 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.4654, + "step": 4947 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.6507, + "step": 4948 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.5117, + "step": 4949 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.6767, + "step": 4950 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.5577, + "step": 4951 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.6253, + "step": 4952 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.4445, + "step": 4953 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.6304, + "step": 4954 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.7224, + "step": 4955 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.6222, + "step": 4956 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.5456, + "step": 4957 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.5937, + "step": 4958 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.4819, + "step": 4959 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.5519, + "step": 4960 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.5782, + "step": 4961 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.5532, + "step": 4962 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.6025, + "step": 4963 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.5107, + "step": 4964 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.4382, + "step": 4965 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.7083, + "step": 4966 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.4684, + "step": 4967 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.5581, + "step": 4968 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.5772, + "step": 4969 + }, + { + "epoch": 1.25, + "learning_rate": 0.0002, + "loss": 0.6082, + "step": 4970 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.6391, + "step": 4971 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.5182, + "step": 4972 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.6823, + "step": 4973 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.788, + "step": 4974 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.4635, + "step": 4975 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.481, + "step": 4976 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.5848, + "step": 4977 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.5249, + "step": 4978 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.5537, + "step": 4979 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.5204, + "step": 4980 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.6541, + "step": 4981 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.4785, + "step": 4982 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.5117, + "step": 4983 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.5365, + "step": 4984 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.4562, + "step": 4985 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.6899, + "step": 4986 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.52, + "step": 4987 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.5926, + "step": 4988 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.6834, + "step": 4989 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.6184, + "step": 4990 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.5058, + "step": 4991 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.6045, + "step": 4992 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.5902, + "step": 4993 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.6442, + "step": 4994 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.5083, + "step": 4995 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.6985, + "step": 4996 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.5874, + "step": 4997 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.6434, + "step": 4998 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.4973, + "step": 4999 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.4842, + "step": 5000 + }, + { + "epoch": 1.26, + "eval_loss": 0.6853368282318115, + "eval_runtime": 95.0957, + "eval_samples_per_second": 10.516, + "eval_steps_per_second": 5.258, + "step": 5000 + }, + { + "epoch": 1.26, + "mmlu_eval_accuracy": 0.555205168110974, + "mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.625, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, + "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, + "mmlu_eval_accuracy_college_medicine": 0.5454545454545454, + "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": 0.4375, + "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.46875, + "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": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, + "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, + "mmlu_eval_accuracy_high_school_psychology": 0.85, + "mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, + "mmlu_eval_accuracy_human_aging": 0.6521739130434783, + "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, + "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": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.92, + "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": 0.39, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.6764705882352942, + "mmlu_eval_accuracy_prehistory": 0.4857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, + "mmlu_eval_accuracy_professional_law": 0.36470588235294116, + "mmlu_eval_accuracy_professional_medicine": 0.4838709677419355, + "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.48148148148148145, + "mmlu_eval_accuracy_sociology": 0.7272727272727273, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 0.9374672101795984, + "step": 5000 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.5959, + "step": 5001 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.4884, + "step": 5002 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.5413, + "step": 5003 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.5907, + "step": 5004 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.5405, + "step": 5005 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.5548, + "step": 5006 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.4677, + "step": 5007 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.4362, + "step": 5008 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.501, + "step": 5009 + }, + { + "epoch": 1.26, + "learning_rate": 0.0002, + "loss": 0.5037, + "step": 5010 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.5777, + "step": 5011 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.4856, + "step": 5012 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.5169, + "step": 5013 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.558, + "step": 5014 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.6533, + "step": 5015 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.5881, + "step": 5016 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.5151, + "step": 5017 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.6674, + "step": 5018 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.5205, + "step": 5019 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.53, + "step": 5020 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.7141, + "step": 5021 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.7659, + "step": 5022 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.508, + "step": 5023 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.5801, + "step": 5024 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.5419, + "step": 5025 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.4425, + "step": 5026 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.5046, + "step": 5027 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.5534, + "step": 5028 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.7634, + "step": 5029 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.6914, + "step": 5030 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.4579, + "step": 5031 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.5513, + "step": 5032 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.5311, + "step": 5033 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.6182, + "step": 5034 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.5792, + "step": 5035 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.4697, + "step": 5036 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.6447, + "step": 5037 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.6332, + "step": 5038 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.6492, + "step": 5039 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.504, + "step": 5040 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.4607, + "step": 5041 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.6707, + "step": 5042 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.576, + "step": 5043 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.6146, + "step": 5044 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.5912, + "step": 5045 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.4401, + "step": 5046 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.6468, + "step": 5047 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.4846, + "step": 5048 + }, + { + "epoch": 1.27, + "learning_rate": 0.0002, + "loss": 0.5654, + "step": 5049 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.478, + "step": 5050 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.749, + "step": 5051 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.5735, + "step": 5052 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.4724, + "step": 5053 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.5146, + "step": 5054 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.5518, + "step": 5055 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.7234, + "step": 5056 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.5884, + "step": 5057 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.6166, + "step": 5058 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.6603, + "step": 5059 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.7846, + "step": 5060 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.5305, + "step": 5061 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.4957, + "step": 5062 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.6334, + "step": 5063 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.4454, + "step": 5064 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.5148, + "step": 5065 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.5002, + "step": 5066 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.4657, + "step": 5067 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.5765, + "step": 5068 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.5809, + "step": 5069 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.4716, + "step": 5070 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.7467, + "step": 5071 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.5109, + "step": 5072 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.5702, + "step": 5073 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.6486, + "step": 5074 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.4874, + "step": 5075 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.5921, + "step": 5076 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.6908, + "step": 5077 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.3724, + "step": 5078 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.5632, + "step": 5079 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.5909, + "step": 5080 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.6194, + "step": 5081 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.5938, + "step": 5082 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.5612, + "step": 5083 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.5188, + "step": 5084 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.6898, + "step": 5085 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.5262, + "step": 5086 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.5397, + "step": 5087 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.6156, + "step": 5088 + }, + { + "epoch": 1.28, + "learning_rate": 0.0002, + "loss": 0.7677, + "step": 5089 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.6544, + "step": 5090 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.5984, + "step": 5091 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.6372, + "step": 5092 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.723, + "step": 5093 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.4815, + "step": 5094 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.521, + "step": 5095 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.4993, + "step": 5096 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.7694, + "step": 5097 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.6469, + "step": 5098 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.5948, + "step": 5099 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.5625, + "step": 5100 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.4231, + "step": 5101 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.6889, + "step": 5102 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.4508, + "step": 5103 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.6914, + "step": 5104 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.4781, + "step": 5105 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.4961, + "step": 5106 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.6176, + "step": 5107 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.5613, + "step": 5108 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.5027, + "step": 5109 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.6642, + "step": 5110 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.6497, + "step": 5111 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.4972, + "step": 5112 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.6384, + "step": 5113 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.8701, + "step": 5114 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.5724, + "step": 5115 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.6915, + "step": 5116 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.7366, + "step": 5117 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.7277, + "step": 5118 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.6153, + "step": 5119 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.5169, + "step": 5120 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.3949, + "step": 5121 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.5469, + "step": 5122 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.5827, + "step": 5123 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.5302, + "step": 5124 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.6476, + "step": 5125 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.5044, + "step": 5126 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.672, + "step": 5127 + }, + { + "epoch": 1.29, + "learning_rate": 0.0002, + "loss": 0.3908, + "step": 5128 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.6376, + "step": 5129 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5349, + "step": 5130 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5533, + "step": 5131 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5042, + "step": 5132 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5529, + "step": 5133 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.7578, + "step": 5134 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.6342, + "step": 5135 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5817, + "step": 5136 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.4771, + "step": 5137 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.6819, + "step": 5138 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5148, + "step": 5139 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5654, + "step": 5140 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5761, + "step": 5141 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.7289, + "step": 5142 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5559, + "step": 5143 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5282, + "step": 5144 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.513, + "step": 5145 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.4284, + "step": 5146 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.7929, + "step": 5147 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.7086, + "step": 5148 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5479, + "step": 5149 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5987, + "step": 5150 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5861, + "step": 5151 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5837, + "step": 5152 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5766, + "step": 5153 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5653, + "step": 5154 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.6133, + "step": 5155 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.4787, + "step": 5156 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.4846, + "step": 5157 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5893, + "step": 5158 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5728, + "step": 5159 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.6152, + "step": 5160 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.4314, + "step": 5161 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.4798, + "step": 5162 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.448, + "step": 5163 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5194, + "step": 5164 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5769, + "step": 5165 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.431, + "step": 5166 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.5962, + "step": 5167 + }, + { + "epoch": 1.3, + "learning_rate": 0.0002, + "loss": 0.6404, + "step": 5168 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.5875, + "step": 5169 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.6219, + "step": 5170 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.6719, + "step": 5171 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.4212, + "step": 5172 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.5582, + "step": 5173 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.4266, + "step": 5174 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.6574, + "step": 5175 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.5513, + "step": 5176 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.4998, + "step": 5177 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.7058, + "step": 5178 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.6538, + "step": 5179 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.536, + "step": 5180 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.4579, + "step": 5181 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.5282, + "step": 5182 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.4548, + "step": 5183 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.5978, + "step": 5184 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.6165, + "step": 5185 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.7144, + "step": 5186 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.8924, + "step": 5187 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.6115, + "step": 5188 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.6845, + "step": 5189 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.6467, + "step": 5190 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.438, + "step": 5191 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.56, + "step": 5192 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.6155, + "step": 5193 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.5872, + "step": 5194 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.7015, + "step": 5195 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.5212, + "step": 5196 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.5691, + "step": 5197 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.5283, + "step": 5198 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.5692, + "step": 5199 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.5434, + "step": 5200 + }, + { + "epoch": 1.31, + "eval_loss": 0.6869417428970337, + "eval_runtime": 95.1563, + "eval_samples_per_second": 10.509, + "eval_steps_per_second": 5.255, + "step": 5200 + }, + { + "epoch": 1.31, + "mmlu_eval_accuracy": 0.5440266940175104, + "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.625, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.6875, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, + "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, + "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, + "mmlu_eval_accuracy_college_physics": 0.5454545454545454, + "mmlu_eval_accuracy_computer_security": 0.45454545454545453, + "mmlu_eval_accuracy_conceptual_physics": 0.3076923076923077, + "mmlu_eval_accuracy_econometrics": 0.3333333333333333, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.42857142857142855, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.4375, + "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": 0.8095238095238095, + "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": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.8, + "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, + "mmlu_eval_accuracy_human_aging": 0.6521739130434783, + "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": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, + "mmlu_eval_accuracy_management": 0.7272727272727273, + "mmlu_eval_accuracy_marketing": 0.92, + "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": 0.41, + "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_philosophy": 0.6764705882352942, + "mmlu_eval_accuracy_prehistory": 0.42857142857142855, + "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, + "mmlu_eval_accuracy_professional_law": 0.35294117647058826, + "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, + "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "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": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 0.8205681100594702, + "step": 5200 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.6784, + "step": 5201 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.6335, + "step": 5202 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.7168, + "step": 5203 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.5006, + "step": 5204 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.6085, + "step": 5205 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.532, + "step": 5206 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.4881, + "step": 5207 + }, + { + "epoch": 1.31, + "learning_rate": 0.0002, + "loss": 0.5012, + "step": 5208 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.4974, + "step": 5209 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.602, + "step": 5210 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.6015, + "step": 5211 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.5536, + "step": 5212 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.6867, + "step": 5213 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.5292, + "step": 5214 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.5672, + "step": 5215 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.6045, + "step": 5216 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.5588, + "step": 5217 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.7142, + "step": 5218 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.5573, + "step": 5219 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.5875, + "step": 5220 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.5594, + "step": 5221 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.693, + "step": 5222 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.496, + "step": 5223 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.6419, + "step": 5224 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.6378, + "step": 5225 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.648, + "step": 5226 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.6044, + "step": 5227 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.5941, + "step": 5228 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.6249, + "step": 5229 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.6903, + "step": 5230 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.5644, + "step": 5231 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.5176, + "step": 5232 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.6509, + "step": 5233 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.4699, + "step": 5234 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.7071, + "step": 5235 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.5984, + "step": 5236 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.4488, + "step": 5237 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.5913, + "step": 5238 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.411, + "step": 5239 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.6111, + "step": 5240 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.5099, + "step": 5241 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.4775, + "step": 5242 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.639, + "step": 5243 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.511, + "step": 5244 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.5152, + "step": 5245 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.6376, + "step": 5246 + }, + { + "epoch": 1.32, + "learning_rate": 0.0002, + "loss": 0.6973, + "step": 5247 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.5417, + "step": 5248 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.5282, + "step": 5249 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.5717, + "step": 5250 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.4441, + "step": 5251 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.5247, + "step": 5252 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.6287, + "step": 5253 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.7099, + "step": 5254 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.4196, + "step": 5255 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.5155, + "step": 5256 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.4814, + "step": 5257 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.5102, + "step": 5258 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.6251, + "step": 5259 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.819, + "step": 5260 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.588, + "step": 5261 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.491, + "step": 5262 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.735, + "step": 5263 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.5856, + "step": 5264 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.5845, + "step": 5265 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.539, + "step": 5266 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.5328, + "step": 5267 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.5135, + "step": 5268 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.4743, + "step": 5269 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.5646, + "step": 5270 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.5176, + "step": 5271 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.5439, + "step": 5272 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.6096, + "step": 5273 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.5909, + "step": 5274 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.6677, + "step": 5275 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.6601, + "step": 5276 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.4727, + "step": 5277 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.5352, + "step": 5278 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.3449, + "step": 5279 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.6855, + "step": 5280 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.4634, + "step": 5281 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.5245, + "step": 5282 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.7683, + "step": 5283 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.6004, + "step": 5284 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.7404, + "step": 5285 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.5999, + "step": 5286 + }, + { + "epoch": 1.33, + "learning_rate": 0.0002, + "loss": 0.6284, + "step": 5287 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.7439, + "step": 5288 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.5304, + "step": 5289 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.5609, + "step": 5290 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.4137, + "step": 5291 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.4747, + "step": 5292 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.6112, + "step": 5293 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.6863, + "step": 5294 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.5121, + "step": 5295 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.4742, + "step": 5296 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.6008, + "step": 5297 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.6389, + "step": 5298 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.5527, + "step": 5299 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.7568, + "step": 5300 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.6343, + "step": 5301 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.4924, + "step": 5302 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.6038, + "step": 5303 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.5656, + "step": 5304 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.5307, + "step": 5305 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.4998, + "step": 5306 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.4064, + "step": 5307 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.5861, + "step": 5308 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.3966, + "step": 5309 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.5147, + "step": 5310 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.4841, + "step": 5311 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.4351, + "step": 5312 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.5278, + "step": 5313 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.4943, + "step": 5314 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.5959, + "step": 5315 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.7118, + "step": 5316 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.6493, + "step": 5317 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.4186, + "step": 5318 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.6281, + "step": 5319 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.5771, + "step": 5320 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.5647, + "step": 5321 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.5466, + "step": 5322 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.4444, + "step": 5323 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.484, + "step": 5324 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.5119, + "step": 5325 + }, + { + "epoch": 1.34, + "learning_rate": 0.0002, + "loss": 0.6304, + "step": 5326 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.534, + "step": 5327 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.5959, + "step": 5328 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.5018, + "step": 5329 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.4767, + "step": 5330 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.541, + "step": 5331 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.7164, + "step": 5332 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.5757, + "step": 5333 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.6731, + "step": 5334 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.5922, + "step": 5335 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.6461, + "step": 5336 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.5728, + "step": 5337 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.726, + "step": 5338 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.5781, + "step": 5339 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.5431, + "step": 5340 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.4958, + "step": 5341 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.4501, + "step": 5342 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.713, + "step": 5343 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.4851, + "step": 5344 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.6028, + "step": 5345 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.6431, + "step": 5346 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.6347, + "step": 5347 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.4453, + "step": 5348 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.608, + "step": 5349 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.5921, + "step": 5350 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.436, + "step": 5351 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.5838, + "step": 5352 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.6356, + "step": 5353 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.576, + "step": 5354 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.6238, + "step": 5355 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.5117, + "step": 5356 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.547, + "step": 5357 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.8376, + "step": 5358 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.6879, + "step": 5359 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.4124, + "step": 5360 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.648, + "step": 5361 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.4415, + "step": 5362 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.5753, + "step": 5363 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.3827, + "step": 5364 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.4228, + "step": 5365 + }, + { + "epoch": 1.35, + "learning_rate": 0.0002, + "loss": 0.5215, + "step": 5366 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.5982, + "step": 5367 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.4406, + "step": 5368 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.4706, + "step": 5369 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.4881, + "step": 5370 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.6501, + "step": 5371 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.6063, + "step": 5372 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.4829, + "step": 5373 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.5448, + "step": 5374 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.522, + "step": 5375 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.5081, + "step": 5376 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.6635, + "step": 5377 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.6026, + "step": 5378 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.5244, + "step": 5379 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.7254, + "step": 5380 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.5568, + "step": 5381 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.5252, + "step": 5382 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.6723, + "step": 5383 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.5231, + "step": 5384 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.6501, + "step": 5385 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.5132, + "step": 5386 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.4739, + "step": 5387 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.5559, + "step": 5388 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.6057, + "step": 5389 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.5952, + "step": 5390 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.559, + "step": 5391 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.6486, + "step": 5392 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.6784, + "step": 5393 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.4348, + "step": 5394 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.5528, + "step": 5395 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.4756, + "step": 5396 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.5196, + "step": 5397 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.4129, + "step": 5398 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.4874, + "step": 5399 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.6505, + "step": 5400 + }, + { + "epoch": 1.36, + "eval_loss": 0.6920430660247803, + "eval_runtime": 95.1555, + "eval_samples_per_second": 10.509, + "eval_steps_per_second": 5.255, + "step": 5400 + }, + { + "epoch": 1.36, + "mmlu_eval_accuracy": 0.5546130598231547, + "mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453, + "mmlu_eval_accuracy_anatomy": 0.6428571428571429, + "mmlu_eval_accuracy_astronomy": 0.625, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "mmlu_eval_accuracy_clinical_knowledge": 0.41379310344827586, + "mmlu_eval_accuracy_college_biology": 0.6875, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, + "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": 0.5454545454545454, + "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, + "mmlu_eval_accuracy_econometrics": 0.3333333333333333, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.5, + "mmlu_eval_accuracy_high_school_biology": 0.46875, + "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": 0.6046511627906976, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, + "mmlu_eval_accuracy_high_school_us_history": 0.8181818181818182, + "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": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.7272727272727273, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, + "mmlu_eval_accuracy_moral_disputes": 0.6052631578947368, + "mmlu_eval_accuracy_moral_scenarios": 0.39, + "mmlu_eval_accuracy_nutrition": 0.6363636363636364, + "mmlu_eval_accuracy_philosophy": 0.7058823529411765, + "mmlu_eval_accuracy_prehistory": 0.45714285714285713, + "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, + "mmlu_eval_accuracy_professional_law": 0.32941176470588235, + "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, + "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "mmlu_eval_accuracy_security_studies": 0.4444444444444444, + "mmlu_eval_accuracy_sociology": 0.8181818181818182, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.0537681834621466, + "step": 5400 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.6923, + "step": 5401 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.5089, + "step": 5402 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.6156, + "step": 5403 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.461, + "step": 5404 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.5846, + "step": 5405 + }, + { + "epoch": 1.36, + "learning_rate": 0.0002, + "loss": 0.5158, + "step": 5406 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.7882, + "step": 5407 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.5787, + "step": 5408 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.7568, + "step": 5409 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.5829, + "step": 5410 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.5084, + "step": 5411 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.9549, + "step": 5412 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.5991, + "step": 5413 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.4993, + "step": 5414 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.558, + "step": 5415 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.4482, + "step": 5416 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.4271, + "step": 5417 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.5157, + "step": 5418 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.5915, + "step": 5419 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.5533, + "step": 5420 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.8117, + "step": 5421 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.618, + "step": 5422 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.6002, + "step": 5423 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.7396, + "step": 5424 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.4946, + "step": 5425 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.5839, + "step": 5426 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.547, + "step": 5427 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.5837, + "step": 5428 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.5522, + "step": 5429 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.6047, + "step": 5430 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.4946, + "step": 5431 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.5767, + "step": 5432 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.5131, + "step": 5433 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.3923, + "step": 5434 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.4942, + "step": 5435 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.5389, + "step": 5436 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.4678, + "step": 5437 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.4712, + "step": 5438 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.5666, + "step": 5439 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.6525, + "step": 5440 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.5485, + "step": 5441 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.5892, + "step": 5442 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.6108, + "step": 5443 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.4788, + "step": 5444 + }, + { + "epoch": 1.37, + "learning_rate": 0.0002, + "loss": 0.6142, + "step": 5445 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.5506, + "step": 5446 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.6008, + "step": 5447 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.6861, + "step": 5448 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.6498, + "step": 5449 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.5554, + "step": 5450 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.5155, + "step": 5451 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.6786, + "step": 5452 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.4754, + "step": 5453 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.6114, + "step": 5454 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.4973, + "step": 5455 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.5306, + "step": 5456 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.5553, + "step": 5457 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.6812, + "step": 5458 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.585, + "step": 5459 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.4975, + "step": 5460 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.5076, + "step": 5461 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.7195, + "step": 5462 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.7423, + "step": 5463 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.5226, + "step": 5464 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.4711, + "step": 5465 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.5786, + "step": 5466 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.5423, + "step": 5467 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.7218, + "step": 5468 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.567, + "step": 5469 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.632, + "step": 5470 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.5968, + "step": 5471 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.6325, + "step": 5472 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.4846, + "step": 5473 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.5638, + "step": 5474 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.5902, + "step": 5475 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.5511, + "step": 5476 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.5699, + "step": 5477 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.4671, + "step": 5478 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.6587, + "step": 5479 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.5506, + "step": 5480 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.4331, + "step": 5481 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.4409, + "step": 5482 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.6979, + "step": 5483 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.5733, + "step": 5484 + }, + { + "epoch": 1.38, + "learning_rate": 0.0002, + "loss": 0.5314, + "step": 5485 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.5662, + "step": 5486 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.5519, + "step": 5487 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.5055, + "step": 5488 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.4809, + "step": 5489 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.5066, + "step": 5490 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.4253, + "step": 5491 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.399, + "step": 5492 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.4511, + "step": 5493 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.709, + "step": 5494 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.3859, + "step": 5495 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.6282, + "step": 5496 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.7111, + "step": 5497 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.6285, + "step": 5498 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.6194, + "step": 5499 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.7368, + "step": 5500 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.5935, + "step": 5501 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.6747, + "step": 5502 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.52, + "step": 5503 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.6283, + "step": 5504 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.5608, + "step": 5505 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.3881, + "step": 5506 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.4546, + "step": 5507 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.4193, + "step": 5508 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.698, + "step": 5509 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.46, + "step": 5510 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.4043, + "step": 5511 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.6364, + "step": 5512 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.5431, + "step": 5513 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.5108, + "step": 5514 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.6642, + "step": 5515 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.6419, + "step": 5516 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.5507, + "step": 5517 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.4813, + "step": 5518 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.6598, + "step": 5519 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.6143, + "step": 5520 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.5984, + "step": 5521 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.714, + "step": 5522 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.6538, + "step": 5523 + }, + { + "epoch": 1.39, + "learning_rate": 0.0002, + "loss": 0.5555, + "step": 5524 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.4781, + "step": 5525 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.481, + "step": 5526 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.6399, + "step": 5527 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.5372, + "step": 5528 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.6383, + "step": 5529 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.6568, + "step": 5530 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.5144, + "step": 5531 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.5504, + "step": 5532 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.7539, + "step": 5533 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.6403, + "step": 5534 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.4847, + "step": 5535 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.5259, + "step": 5536 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.5379, + "step": 5537 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.6183, + "step": 5538 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.662, + "step": 5539 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.5447, + "step": 5540 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.5772, + "step": 5541 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.6229, + "step": 5542 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.4389, + "step": 5543 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.6309, + "step": 5544 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.456, + "step": 5545 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.4956, + "step": 5546 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.4129, + "step": 5547 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.624, + "step": 5548 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.6217, + "step": 5549 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.5392, + "step": 5550 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.6004, + "step": 5551 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.7017, + "step": 5552 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.4814, + "step": 5553 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.5587, + "step": 5554 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.6472, + "step": 5555 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.5935, + "step": 5556 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.6715, + "step": 5557 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.6747, + "step": 5558 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.6157, + "step": 5559 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.5604, + "step": 5560 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.6325, + "step": 5561 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.6052, + "step": 5562 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.5417, + "step": 5563 + }, + { + "epoch": 1.4, + "learning_rate": 0.0002, + "loss": 0.4675, + "step": 5564 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.5038, + "step": 5565 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.4485, + "step": 5566 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.4516, + "step": 5567 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.5436, + "step": 5568 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.4922, + "step": 5569 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.4827, + "step": 5570 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.6469, + "step": 5571 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.5675, + "step": 5572 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.5928, + "step": 5573 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.529, + "step": 5574 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.3776, + "step": 5575 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.5965, + "step": 5576 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.5465, + "step": 5577 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.4688, + "step": 5578 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.5358, + "step": 5579 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.4265, + "step": 5580 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.4765, + "step": 5581 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.6008, + "step": 5582 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.4533, + "step": 5583 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.6939, + "step": 5584 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.465, + "step": 5585 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.4324, + "step": 5586 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.6107, + "step": 5587 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.4716, + "step": 5588 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.601, + "step": 5589 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.5968, + "step": 5590 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.5761, + "step": 5591 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.5055, + "step": 5592 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.6364, + "step": 5593 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.5665, + "step": 5594 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.577, + "step": 5595 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.4873, + "step": 5596 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.7718, + "step": 5597 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.4937, + "step": 5598 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.7134, + "step": 5599 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.3891, + "step": 5600 + }, + { + "epoch": 1.41, + "eval_loss": 0.690873920917511, + "eval_runtime": 95.3378, + "eval_samples_per_second": 10.489, + "eval_steps_per_second": 5.245, + "step": 5600 + }, + { + "epoch": 1.41, + "mmlu_eval_accuracy": 0.5217528682633051, + "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.4375, + "mmlu_eval_accuracy_business_ethics": 0.2727272727272727, + "mmlu_eval_accuracy_clinical_knowledge": 0.6551724137931034, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.5, + "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, + "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727, + "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, + "mmlu_eval_accuracy_college_physics": 0.7272727272727273, + "mmlu_eval_accuracy_computer_security": 0.2727272727272727, + "mmlu_eval_accuracy_conceptual_physics": 0.5, + "mmlu_eval_accuracy_econometrics": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.4375, + "mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073, + "mmlu_eval_accuracy_formal_logic": 0.42857142857142855, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.59375, + "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.5, + "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, + "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": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, + "mmlu_eval_accuracy_human_aging": 0.43478260869565216, + "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, + "mmlu_eval_accuracy_international_law": 0.7692307692307693, + "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.76, + "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, + "mmlu_eval_accuracy_miscellaneous": 0.6511627906976745, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.34, + "mmlu_eval_accuracy_nutrition": 0.6363636363636364, + "mmlu_eval_accuracy_philosophy": 0.5588235294117647, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.2903225806451613, + "mmlu_eval_accuracy_professional_law": 0.36470588235294116, + "mmlu_eval_accuracy_professional_medicine": 0.3870967741935484, + "mmlu_eval_accuracy_professional_psychology": 0.4927536231884058, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "mmlu_eval_accuracy_security_studies": 0.37037037037037035, + "mmlu_eval_accuracy_sociology": 0.6818181818181818, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.3078259219738895, + "step": 5600 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.3991, + "step": 5601 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.5757, + "step": 5602 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.6961, + "step": 5603 + }, + { + "epoch": 1.41, + "learning_rate": 0.0002, + "loss": 0.6209, + "step": 5604 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.5461, + "step": 5605 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.5237, + "step": 5606 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.539, + "step": 5607 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.7094, + "step": 5608 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.5127, + "step": 5609 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.5793, + "step": 5610 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.5455, + "step": 5611 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.6567, + "step": 5612 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.5315, + "step": 5613 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.4927, + "step": 5614 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.5627, + "step": 5615 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.5256, + "step": 5616 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.4448, + "step": 5617 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.5601, + "step": 5618 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.5726, + "step": 5619 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.6194, + "step": 5620 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.5919, + "step": 5621 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.5272, + "step": 5622 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.634, + "step": 5623 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.6588, + "step": 5624 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.4926, + "step": 5625 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.543, + "step": 5626 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.6916, + "step": 5627 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.4895, + "step": 5628 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.6798, + "step": 5629 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.5359, + "step": 5630 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.5901, + "step": 5631 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.5064, + "step": 5632 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.5576, + "step": 5633 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.5227, + "step": 5634 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.506, + "step": 5635 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.6349, + "step": 5636 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.5907, + "step": 5637 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.4613, + "step": 5638 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.5339, + "step": 5639 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.7358, + "step": 5640 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.6677, + "step": 5641 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.6529, + "step": 5642 + }, + { + "epoch": 1.42, + "learning_rate": 0.0002, + "loss": 0.5696, + "step": 5643 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5724, + "step": 5644 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5789, + "step": 5645 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5408, + "step": 5646 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5636, + "step": 5647 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.576, + "step": 5648 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5717, + "step": 5649 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.503, + "step": 5650 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5179, + "step": 5651 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.6247, + "step": 5652 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.6592, + "step": 5653 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.4776, + "step": 5654 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.7513, + "step": 5655 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5068, + "step": 5656 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.6438, + "step": 5657 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.4626, + "step": 5658 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.6404, + "step": 5659 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5605, + "step": 5660 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5512, + "step": 5661 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.7469, + "step": 5662 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.6441, + "step": 5663 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5603, + "step": 5664 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5125, + "step": 5665 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5318, + "step": 5666 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5228, + "step": 5667 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5442, + "step": 5668 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5598, + "step": 5669 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5501, + "step": 5670 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5684, + "step": 5671 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5383, + "step": 5672 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.6297, + "step": 5673 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5389, + "step": 5674 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5089, + "step": 5675 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.4641, + "step": 5676 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.4627, + "step": 5677 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.6073, + "step": 5678 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.6065, + "step": 5679 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.5637, + "step": 5680 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.4906, + "step": 5681 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.518, + "step": 5682 + }, + { + "epoch": 1.43, + "learning_rate": 0.0002, + "loss": 0.6841, + "step": 5683 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.5123, + "step": 5684 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.5858, + "step": 5685 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.7517, + "step": 5686 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.5815, + "step": 5687 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.5271, + "step": 5688 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.4795, + "step": 5689 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.6726, + "step": 5690 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.6361, + "step": 5691 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.6316, + "step": 5692 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.5619, + "step": 5693 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.477, + "step": 5694 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.5917, + "step": 5695 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.68, + "step": 5696 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.498, + "step": 5697 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.5184, + "step": 5698 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.5357, + "step": 5699 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.6666, + "step": 5700 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.6834, + "step": 5701 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.7063, + "step": 5702 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.7297, + "step": 5703 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.5815, + "step": 5704 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.71, + "step": 5705 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.6403, + "step": 5706 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.4787, + "step": 5707 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.5226, + "step": 5708 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.4754, + "step": 5709 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.5066, + "step": 5710 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.482, + "step": 5711 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.6078, + "step": 5712 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.4896, + "step": 5713 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.6187, + "step": 5714 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.4695, + "step": 5715 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.6135, + "step": 5716 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.3759, + "step": 5717 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.6413, + "step": 5718 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.4864, + "step": 5719 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.5584, + "step": 5720 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.5869, + "step": 5721 + }, + { + "epoch": 1.44, + "learning_rate": 0.0002, + "loss": 0.4017, + "step": 5722 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.6079, + "step": 5723 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.6617, + "step": 5724 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.4552, + "step": 5725 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.7648, + "step": 5726 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.6314, + "step": 5727 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.5238, + "step": 5728 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.535, + "step": 5729 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.6997, + "step": 5730 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.6979, + "step": 5731 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.7276, + "step": 5732 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.6796, + "step": 5733 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.6566, + "step": 5734 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.4242, + "step": 5735 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.6237, + "step": 5736 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.717, + "step": 5737 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.5052, + "step": 5738 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.5448, + "step": 5739 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.619, + "step": 5740 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.6478, + "step": 5741 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.5865, + "step": 5742 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.5066, + "step": 5743 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.6406, + "step": 5744 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.6506, + "step": 5745 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.559, + "step": 5746 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.5533, + "step": 5747 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.5948, + "step": 5748 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.6227, + "step": 5749 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.5789, + "step": 5750 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.674, + "step": 5751 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.4937, + "step": 5752 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.5672, + "step": 5753 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.7337, + "step": 5754 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.4793, + "step": 5755 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.6533, + "step": 5756 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.669, + "step": 5757 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.5549, + "step": 5758 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.4611, + "step": 5759 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.4781, + "step": 5760 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.5791, + "step": 5761 + }, + { + "epoch": 1.45, + "learning_rate": 0.0002, + "loss": 0.4716, + "step": 5762 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.5646, + "step": 5763 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.7911, + "step": 5764 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.6304, + "step": 5765 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.6279, + "step": 5766 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.5578, + "step": 5767 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.552, + "step": 5768 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.5791, + "step": 5769 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.5503, + "step": 5770 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.5453, + "step": 5771 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.4843, + "step": 5772 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.569, + "step": 5773 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.5706, + "step": 5774 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.4368, + "step": 5775 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.5369, + "step": 5776 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.5095, + "step": 5777 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.514, + "step": 5778 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.5369, + "step": 5779 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.4341, + "step": 5780 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.5636, + "step": 5781 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.6188, + "step": 5782 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.5969, + "step": 5783 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.6123, + "step": 5784 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.566, + "step": 5785 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.4654, + "step": 5786 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.6023, + "step": 5787 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.6122, + "step": 5788 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.7136, + "step": 5789 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.5564, + "step": 5790 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.6287, + "step": 5791 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.7697, + "step": 5792 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.5875, + "step": 5793 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.5795, + "step": 5794 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.6336, + "step": 5795 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.5881, + "step": 5796 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.6326, + "step": 5797 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.499, + "step": 5798 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.5325, + "step": 5799 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.5027, + "step": 5800 + }, + { + "epoch": 1.46, + "eval_loss": 0.6821780800819397, + "eval_runtime": 95.2662, + "eval_samples_per_second": 10.497, + "eval_steps_per_second": 5.248, + "step": 5800 + }, + { + "epoch": 1.46, + "mmlu_eval_accuracy": 0.542763022085557, + "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.5625, + "mmlu_eval_accuracy_business_ethics": 0.2727272727272727, + "mmlu_eval_accuracy_clinical_knowledge": 0.6896551724137931, + "mmlu_eval_accuracy_college_biology": 0.6875, + "mmlu_eval_accuracy_college_chemistry": 0.5, + "mmlu_eval_accuracy_college_computer_science": 0.6363636363636364, + "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": 0.46153846153846156, + "mmlu_eval_accuracy_econometrics": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.625, + "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.35714285714285715, + "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": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, + "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5116279069767442, + "mmlu_eval_accuracy_high_school_mathematics": 0.13793103448275862, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.9, + "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": 0.5217391304347826, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.8461538461538461, + "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.7222222222222222, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.72, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.686046511627907, + "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, + "mmlu_eval_accuracy_moral_scenarios": 0.36, + "mmlu_eval_accuracy_nutrition": 0.6363636363636364, + "mmlu_eval_accuracy_philosophy": 0.5588235294117647, + "mmlu_eval_accuracy_prehistory": 0.5714285714285714, + "mmlu_eval_accuracy_professional_accounting": 0.3870967741935484, + "mmlu_eval_accuracy_professional_law": 0.3764705882352941, + "mmlu_eval_accuracy_professional_medicine": 0.4838709677419355, + "mmlu_eval_accuracy_professional_psychology": 0.5217391304347826, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5185185185185185, + "mmlu_eval_accuracy_sociology": 0.7272727272727273, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.3888888888888889, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.2415490602933397, + "step": 5800 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.6702, + "step": 5801 + }, + { + "epoch": 1.46, + "learning_rate": 0.0002, + "loss": 0.7455, + "step": 5802 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.7343, + "step": 5803 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.6199, + "step": 5804 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.4927, + "step": 5805 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.6748, + "step": 5806 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.4793, + "step": 5807 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.6046, + "step": 5808 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.4394, + "step": 5809 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.5398, + "step": 5810 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.5834, + "step": 5811 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.6122, + "step": 5812 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.6256, + "step": 5813 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.509, + "step": 5814 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.5957, + "step": 5815 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.5232, + "step": 5816 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.6295, + "step": 5817 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.6376, + "step": 5818 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.7015, + "step": 5819 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.7101, + "step": 5820 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.5675, + "step": 5821 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.6274, + "step": 5822 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.434, + "step": 5823 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.4383, + "step": 5824 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.5981, + "step": 5825 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.6139, + "step": 5826 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.5826, + "step": 5827 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.5064, + "step": 5828 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.4647, + "step": 5829 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.6501, + "step": 5830 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.6484, + "step": 5831 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.4752, + "step": 5832 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.5874, + "step": 5833 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.6084, + "step": 5834 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.6227, + "step": 5835 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.7415, + "step": 5836 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.6016, + "step": 5837 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.5306, + "step": 5838 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.6081, + "step": 5839 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.5279, + "step": 5840 + }, + { + "epoch": 1.47, + "learning_rate": 0.0002, + "loss": 0.5166, + "step": 5841 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.5042, + "step": 5842 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.4604, + "step": 5843 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.5309, + "step": 5844 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.5186, + "step": 5845 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.6321, + "step": 5846 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.7694, + "step": 5847 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.4664, + "step": 5848 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.7938, + "step": 5849 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.63, + "step": 5850 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.535, + "step": 5851 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.3833, + "step": 5852 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.5532, + "step": 5853 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.5847, + "step": 5854 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.5727, + "step": 5855 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.5858, + "step": 5856 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.6679, + "step": 5857 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.4443, + "step": 5858 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.58, + "step": 5859 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.7845, + "step": 5860 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.5127, + "step": 5861 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.4795, + "step": 5862 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.7282, + "step": 5863 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.7323, + "step": 5864 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.6953, + "step": 5865 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.7538, + "step": 5866 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.5316, + "step": 5867 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.5301, + "step": 5868 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.6622, + "step": 5869 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.5685, + "step": 5870 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.5682, + "step": 5871 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.5496, + "step": 5872 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.4962, + "step": 5873 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.3834, + "step": 5874 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.4361, + "step": 5875 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.5319, + "step": 5876 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.4946, + "step": 5877 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.5169, + "step": 5878 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.614, + "step": 5879 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.6555, + "step": 5880 + }, + { + "epoch": 1.48, + "learning_rate": 0.0002, + "loss": 0.6028, + "step": 5881 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.8199, + "step": 5882 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.5192, + "step": 5883 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.7302, + "step": 5884 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.6248, + "step": 5885 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.5396, + "step": 5886 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.7405, + "step": 5887 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.5211, + "step": 5888 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.5628, + "step": 5889 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.6674, + "step": 5890 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.8758, + "step": 5891 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.488, + "step": 5892 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.5478, + "step": 5893 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.7323, + "step": 5894 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.5353, + "step": 5895 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.5983, + "step": 5896 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.6047, + "step": 5897 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.5501, + "step": 5898 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.6063, + "step": 5899 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.6655, + "step": 5900 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.5792, + "step": 5901 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.5558, + "step": 5902 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.7497, + "step": 5903 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.5257, + "step": 5904 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.5978, + "step": 5905 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.7301, + "step": 5906 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.5516, + "step": 5907 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.614, + "step": 5908 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.5787, + "step": 5909 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.5, + "step": 5910 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.6253, + "step": 5911 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.6231, + "step": 5912 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.5232, + "step": 5913 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.5398, + "step": 5914 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.3872, + "step": 5915 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.6253, + "step": 5916 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.656, + "step": 5917 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.4794, + "step": 5918 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.5963, + "step": 5919 + }, + { + "epoch": 1.49, + "learning_rate": 0.0002, + "loss": 0.4737, + "step": 5920 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.7694, + "step": 5921 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.6114, + "step": 5922 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.4617, + "step": 5923 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.5919, + "step": 5924 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.5538, + "step": 5925 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.4098, + "step": 5926 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.5633, + "step": 5927 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.4707, + "step": 5928 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.6934, + "step": 5929 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.4794, + "step": 5930 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.6487, + "step": 5931 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.6389, + "step": 5932 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.4976, + "step": 5933 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.5698, + "step": 5934 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.5421, + "step": 5935 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.529, + "step": 5936 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.5002, + "step": 5937 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.6178, + "step": 5938 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.6731, + "step": 5939 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.671, + "step": 5940 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.6051, + "step": 5941 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.632, + "step": 5942 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.8184, + "step": 5943 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.44, + "step": 5944 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.636, + "step": 5945 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.5291, + "step": 5946 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.6438, + "step": 5947 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.5483, + "step": 5948 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.5467, + "step": 5949 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.5399, + "step": 5950 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.5847, + "step": 5951 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.4294, + "step": 5952 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.6535, + "step": 5953 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.5858, + "step": 5954 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.3947, + "step": 5955 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.4587, + "step": 5956 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.4131, + "step": 5957 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.5519, + "step": 5958 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.4657, + "step": 5959 + }, + { + "epoch": 1.5, + "learning_rate": 0.0002, + "loss": 0.5232, + "step": 5960 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.4926, + "step": 5961 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.5243, + "step": 5962 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.7582, + "step": 5963 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.4857, + "step": 5964 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.5141, + "step": 5965 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.6322, + "step": 5966 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.6482, + "step": 5967 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.6509, + "step": 5968 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.5358, + "step": 5969 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.5077, + "step": 5970 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.6201, + "step": 5971 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.6088, + "step": 5972 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.7918, + "step": 5973 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.5265, + "step": 5974 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.5853, + "step": 5975 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.4583, + "step": 5976 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.5224, + "step": 5977 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.4425, + "step": 5978 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.5106, + "step": 5979 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.5373, + "step": 5980 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.6922, + "step": 5981 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.6041, + "step": 5982 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.5945, + "step": 5983 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.6224, + "step": 5984 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.6373, + "step": 5985 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.5936, + "step": 5986 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.5093, + "step": 5987 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.6263, + "step": 5988 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.4605, + "step": 5989 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.4944, + "step": 5990 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.5659, + "step": 5991 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.5045, + "step": 5992 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.5887, + "step": 5993 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.4346, + "step": 5994 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.68, + "step": 5995 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.5011, + "step": 5996 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.6125, + "step": 5997 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.5413, + "step": 5998 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.5878, + "step": 5999 + }, + { + "epoch": 1.51, + "learning_rate": 0.0002, + "loss": 0.5992, + "step": 6000 + }, + { + "epoch": 1.51, + "eval_loss": 0.694137454032898, + "eval_runtime": 95.178, + "eval_samples_per_second": 10.507, + "eval_steps_per_second": 5.253, + "step": 6000 + }, + { + "epoch": 1.51, + "mmlu_eval_accuracy": 0.5393136555303136, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.5625, + "mmlu_eval_accuracy_business_ethics": 0.2727272727272727, + "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, + "mmlu_eval_accuracy_college_biology": 0.6875, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, + "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": 0.34615384615384615, + "mmlu_eval_accuracy_econometrics": 0.4166666666666667, + "mmlu_eval_accuracy_electrical_engineering": 0.6875, + "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, + "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": 0.22727272727272727, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.5, + "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, + "mmlu_eval_accuracy_high_school_mathematics": 0.13793103448275862, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.85, + "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": 0.5217391304347826, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "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": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.72, + "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": 0.35, + "mmlu_eval_accuracy_nutrition": 0.6363636363636364, + "mmlu_eval_accuracy_philosophy": 0.5882352941176471, + "mmlu_eval_accuracy_prehistory": 0.5142857142857142, + "mmlu_eval_accuracy_professional_accounting": 0.3870967741935484, + "mmlu_eval_accuracy_professional_law": 0.37058823529411766, + "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, + "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.48148148148148145, + "mmlu_eval_accuracy_sociology": 0.7272727272727273, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.3888888888888889, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 0.9791259572454595, + "step": 6000 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.5761, + "step": 6001 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.5851, + "step": 6002 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.6214, + "step": 6003 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.5051, + "step": 6004 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.4729, + "step": 6005 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.6092, + "step": 6006 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.5822, + "step": 6007 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.5718, + "step": 6008 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.625, + "step": 6009 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.7216, + "step": 6010 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.5384, + "step": 6011 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.5219, + "step": 6012 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.4949, + "step": 6013 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.5389, + "step": 6014 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.592, + "step": 6015 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.5097, + "step": 6016 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.537, + "step": 6017 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.6662, + "step": 6018 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.7616, + "step": 6019 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.4794, + "step": 6020 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.5831, + "step": 6021 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.5474, + "step": 6022 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.5166, + "step": 6023 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.644, + "step": 6024 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.6651, + "step": 6025 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.5724, + "step": 6026 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.4437, + "step": 6027 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.6836, + "step": 6028 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.5875, + "step": 6029 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.6935, + "step": 6030 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.6523, + "step": 6031 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.5868, + "step": 6032 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.6184, + "step": 6033 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.5656, + "step": 6034 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.5578, + "step": 6035 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.8415, + "step": 6036 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.4965, + "step": 6037 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.5283, + "step": 6038 + }, + { + "epoch": 1.52, + "learning_rate": 0.0002, + "loss": 0.4911, + "step": 6039 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.6996, + "step": 6040 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.5198, + "step": 6041 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.6223, + "step": 6042 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.5354, + "step": 6043 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.4653, + "step": 6044 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.6901, + "step": 6045 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.559, + "step": 6046 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.5593, + "step": 6047 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.4419, + "step": 6048 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.5459, + "step": 6049 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.5727, + "step": 6050 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.4686, + "step": 6051 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.7014, + "step": 6052 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.4874, + "step": 6053 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.5523, + "step": 6054 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.6082, + "step": 6055 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.5239, + "step": 6056 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.5882, + "step": 6057 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.8691, + "step": 6058 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.5431, + "step": 6059 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.6476, + "step": 6060 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.5289, + "step": 6061 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.6533, + "step": 6062 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.6083, + "step": 6063 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.474, + "step": 6064 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.6023, + "step": 6065 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.3915, + "step": 6066 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.4933, + "step": 6067 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.6171, + "step": 6068 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.7634, + "step": 6069 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.5176, + "step": 6070 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.5838, + "step": 6071 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.6197, + "step": 6072 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.453, + "step": 6073 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.4444, + "step": 6074 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.4963, + "step": 6075 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.5563, + "step": 6076 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.4801, + "step": 6077 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.5097, + "step": 6078 + }, + { + "epoch": 1.53, + "learning_rate": 0.0002, + "loss": 0.6461, + "step": 6079 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.4689, + "step": 6080 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.4496, + "step": 6081 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.6396, + "step": 6082 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.5601, + "step": 6083 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.629, + "step": 6084 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.5501, + "step": 6085 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.6241, + "step": 6086 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.794, + "step": 6087 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.5943, + "step": 6088 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.5166, + "step": 6089 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.4755, + "step": 6090 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.6278, + "step": 6091 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.6134, + "step": 6092 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.5652, + "step": 6093 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.6386, + "step": 6094 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.5498, + "step": 6095 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.4848, + "step": 6096 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.5303, + "step": 6097 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.6325, + "step": 6098 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.4218, + "step": 6099 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.5006, + "step": 6100 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.5886, + "step": 6101 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.521, + "step": 6102 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.596, + "step": 6103 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.599, + "step": 6104 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.6164, + "step": 6105 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.6952, + "step": 6106 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.5593, + "step": 6107 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.4945, + "step": 6108 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.5807, + "step": 6109 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.619, + "step": 6110 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.604, + "step": 6111 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.5879, + "step": 6112 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.7165, + "step": 6113 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.5963, + "step": 6114 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.7987, + "step": 6115 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.5126, + "step": 6116 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.6254, + "step": 6117 + }, + { + "epoch": 1.54, + "learning_rate": 0.0002, + "loss": 0.4726, + "step": 6118 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.5004, + "step": 6119 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.6188, + "step": 6120 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.5533, + "step": 6121 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.752, + "step": 6122 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.4873, + "step": 6123 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.5988, + "step": 6124 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.6775, + "step": 6125 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.4074, + "step": 6126 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.5408, + "step": 6127 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.8558, + "step": 6128 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.641, + "step": 6129 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.504, + "step": 6130 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.4669, + "step": 6131 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.6143, + "step": 6132 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.485, + "step": 6133 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.5363, + "step": 6134 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.6509, + "step": 6135 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.7419, + "step": 6136 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.5104, + "step": 6137 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.5224, + "step": 6138 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.6677, + "step": 6139 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.525, + "step": 6140 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.6228, + "step": 6141 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.4539, + "step": 6142 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.4789, + "step": 6143 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.4437, + "step": 6144 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.5683, + "step": 6145 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.505, + "step": 6146 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.6499, + "step": 6147 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.5198, + "step": 6148 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.7088, + "step": 6149 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.6326, + "step": 6150 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.5957, + "step": 6151 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.4634, + "step": 6152 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.5317, + "step": 6153 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.7085, + "step": 6154 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.6378, + "step": 6155 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.5231, + "step": 6156 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.5976, + "step": 6157 + }, + { + "epoch": 1.55, + "learning_rate": 0.0002, + "loss": 0.6366, + "step": 6158 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.5858, + "step": 6159 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.7503, + "step": 6160 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.5302, + "step": 6161 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.5472, + "step": 6162 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.7677, + "step": 6163 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.6258, + "step": 6164 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.4423, + "step": 6165 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.9127, + "step": 6166 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.5402, + "step": 6167 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.4197, + "step": 6168 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.6238, + "step": 6169 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.5862, + "step": 6170 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.5923, + "step": 6171 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.7953, + "step": 6172 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.6583, + "step": 6173 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.5596, + "step": 6174 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.5352, + "step": 6175 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.435, + "step": 6176 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.773, + "step": 6177 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.499, + "step": 6178 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.575, + "step": 6179 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.4359, + "step": 6180 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.5132, + "step": 6181 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.5275, + "step": 6182 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.7241, + "step": 6183 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.5458, + "step": 6184 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.6751, + "step": 6185 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.4897, + "step": 6186 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.4559, + "step": 6187 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.7116, + "step": 6188 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.6444, + "step": 6189 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.7042, + "step": 6190 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.5304, + "step": 6191 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.6388, + "step": 6192 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.5559, + "step": 6193 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.6673, + "step": 6194 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.581, + "step": 6195 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.5081, + "step": 6196 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.5499, + "step": 6197 + }, + { + "epoch": 1.56, + "learning_rate": 0.0002, + "loss": 0.6597, + "step": 6198 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.5365, + "step": 6199 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.6068, + "step": 6200 + }, + { + "epoch": 1.57, + "eval_loss": 0.6871098279953003, + "eval_runtime": 95.1433, + "eval_samples_per_second": 10.51, + "eval_steps_per_second": 5.255, + "step": 6200 + }, + { + "epoch": 1.57, + "mmlu_eval_accuracy": 0.5560555009195634, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.6428571428571429, + "mmlu_eval_accuracy_astronomy": 0.5625, + "mmlu_eval_accuracy_business_ethics": 0.36363636363636365, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.5, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.6363636363636364, + "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, + "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, + "mmlu_eval_accuracy_college_physics": 0.5454545454545454, + "mmlu_eval_accuracy_computer_security": 0.5454545454545454, + "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615, + "mmlu_eval_accuracy_econometrics": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.5625, + "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.4, + "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": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.8095238095238095, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_statistics": 0.5217391304347826, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, + "mmlu_eval_accuracy_human_aging": 0.6086956521739131, + "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": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.8, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, + "mmlu_eval_accuracy_moral_disputes": 0.631578947368421, + "mmlu_eval_accuracy_moral_scenarios": 0.4, + "mmlu_eval_accuracy_nutrition": 0.6363636363636364, + "mmlu_eval_accuracy_philosophy": 0.5588235294117647, + "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": 0.5942028985507246, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5185185185185185, + "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": 0.7894736842105263, + "mmlu_loss": 1.1265183345222598, + "step": 6200 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.6655, + "step": 6201 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.5201, + "step": 6202 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.5659, + "step": 6203 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.5522, + "step": 6204 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.482, + "step": 6205 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.5238, + "step": 6206 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.5979, + "step": 6207 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.5555, + "step": 6208 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.4831, + "step": 6209 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.5145, + "step": 6210 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.4562, + "step": 6211 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.588, + "step": 6212 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.6633, + "step": 6213 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.557, + "step": 6214 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.5563, + "step": 6215 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.6694, + "step": 6216 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.6333, + "step": 6217 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.488, + "step": 6218 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.6247, + "step": 6219 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.4408, + "step": 6220 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.4958, + "step": 6221 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.5472, + "step": 6222 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.5433, + "step": 6223 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.5893, + "step": 6224 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.5544, + "step": 6225 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.5049, + "step": 6226 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.4828, + "step": 6227 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.5291, + "step": 6228 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.5682, + "step": 6229 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.5985, + "step": 6230 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.4398, + "step": 6231 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.6034, + "step": 6232 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.557, + "step": 6233 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.4779, + "step": 6234 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.5812, + "step": 6235 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.549, + "step": 6236 + }, + { + "epoch": 1.57, + "learning_rate": 0.0002, + "loss": 0.4563, + "step": 6237 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.5534, + "step": 6238 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.6122, + "step": 6239 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.431, + "step": 6240 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.5398, + "step": 6241 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.5713, + "step": 6242 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.5041, + "step": 6243 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.6209, + "step": 6244 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.728, + "step": 6245 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.5861, + "step": 6246 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.5685, + "step": 6247 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.6288, + "step": 6248 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.552, + "step": 6249 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.4551, + "step": 6250 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.4506, + "step": 6251 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.4985, + "step": 6252 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.537, + "step": 6253 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.4815, + "step": 6254 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.6745, + "step": 6255 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.65, + "step": 6256 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.6061, + "step": 6257 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.6206, + "step": 6258 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.6287, + "step": 6259 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.606, + "step": 6260 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.7119, + "step": 6261 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.6314, + "step": 6262 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.5893, + "step": 6263 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.595, + "step": 6264 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.4258, + "step": 6265 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.6041, + "step": 6266 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.6416, + "step": 6267 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.4721, + "step": 6268 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.5603, + "step": 6269 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.5465, + "step": 6270 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.4861, + "step": 6271 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.523, + "step": 6272 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.4732, + "step": 6273 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.4875, + "step": 6274 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.5769, + "step": 6275 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.7569, + "step": 6276 + }, + { + "epoch": 1.58, + "learning_rate": 0.0002, + "loss": 0.4722, + "step": 6277 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.6148, + "step": 6278 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5909, + "step": 6279 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.6938, + "step": 6280 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5536, + "step": 6281 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5952, + "step": 6282 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.6057, + "step": 6283 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5418, + "step": 6284 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5811, + "step": 6285 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.4433, + "step": 6286 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.513, + "step": 6287 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5607, + "step": 6288 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5081, + "step": 6289 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5351, + "step": 6290 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.682, + "step": 6291 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5417, + "step": 6292 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.4186, + "step": 6293 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.6799, + "step": 6294 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5548, + "step": 6295 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.4125, + "step": 6296 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5395, + "step": 6297 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5843, + "step": 6298 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.6837, + "step": 6299 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.6609, + "step": 6300 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.6136, + "step": 6301 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.4834, + "step": 6302 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.6102, + "step": 6303 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5291, + "step": 6304 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.6697, + "step": 6305 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.4473, + "step": 6306 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5761, + "step": 6307 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5833, + "step": 6308 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5248, + "step": 6309 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.6444, + "step": 6310 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5113, + "step": 6311 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5695, + "step": 6312 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5961, + "step": 6313 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5346, + "step": 6314 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.4273, + "step": 6315 + }, + { + "epoch": 1.59, + "learning_rate": 0.0002, + "loss": 0.5223, + "step": 6316 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.4673, + "step": 6317 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.6202, + "step": 6318 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.6102, + "step": 6319 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.5942, + "step": 6320 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.6866, + "step": 6321 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.5231, + "step": 6322 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.6735, + "step": 6323 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.5355, + "step": 6324 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.4679, + "step": 6325 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.6458, + "step": 6326 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.5608, + "step": 6327 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.6568, + "step": 6328 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.495, + "step": 6329 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.5237, + "step": 6330 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.5349, + "step": 6331 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.4976, + "step": 6332 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.6796, + "step": 6333 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.6627, + "step": 6334 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.3523, + "step": 6335 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.4621, + "step": 6336 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.5392, + "step": 6337 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.5727, + "step": 6338 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.4718, + "step": 6339 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.611, + "step": 6340 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.6403, + "step": 6341 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.4116, + "step": 6342 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.626, + "step": 6343 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.514, + "step": 6344 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.5168, + "step": 6345 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.6026, + "step": 6346 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.6548, + "step": 6347 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.5412, + "step": 6348 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.4648, + "step": 6349 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.4666, + "step": 6350 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.6509, + "step": 6351 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.4816, + "step": 6352 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.5773, + "step": 6353 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.5668, + "step": 6354 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.646, + "step": 6355 + }, + { + "epoch": 1.6, + "learning_rate": 0.0002, + "loss": 0.5014, + "step": 6356 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.5827, + "step": 6357 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.6368, + "step": 6358 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.3964, + "step": 6359 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.5961, + "step": 6360 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.6494, + "step": 6361 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.6043, + "step": 6362 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.5284, + "step": 6363 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.5829, + "step": 6364 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.5108, + "step": 6365 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.6288, + "step": 6366 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.594, + "step": 6367 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.5036, + "step": 6368 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.6075, + "step": 6369 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.552, + "step": 6370 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.5819, + "step": 6371 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.5992, + "step": 6372 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.6503, + "step": 6373 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.6424, + "step": 6374 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.493, + "step": 6375 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.6465, + "step": 6376 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.565, + "step": 6377 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.5661, + "step": 6378 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.6091, + "step": 6379 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.4687, + "step": 6380 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.6372, + "step": 6381 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.451, + "step": 6382 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.5233, + "step": 6383 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.6359, + "step": 6384 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.5521, + "step": 6385 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.6218, + "step": 6386 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.6213, + "step": 6387 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.6234, + "step": 6388 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.5931, + "step": 6389 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.6018, + "step": 6390 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.5238, + "step": 6391 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.5695, + "step": 6392 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.5374, + "step": 6393 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.6442, + "step": 6394 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.5209, + "step": 6395 + }, + { + "epoch": 1.61, + "learning_rate": 0.0002, + "loss": 0.8418, + "step": 6396 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.4756, + "step": 6397 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.4574, + "step": 6398 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.4558, + "step": 6399 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.6187, + "step": 6400 + }, + { + "epoch": 1.62, + "eval_loss": 0.6870608925819397, + "eval_runtime": 95.155, + "eval_samples_per_second": 10.509, + "eval_steps_per_second": 5.255, + "step": 6400 + }, + { + "epoch": 1.62, + "mmlu_eval_accuracy": 0.5416187916482744, + "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.5625, + "mmlu_eval_accuracy_business_ethics": 0.36363636363636365, + "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.5, + "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, + "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, + "mmlu_eval_accuracy_college_physics": 0.5454545454545454, + "mmlu_eval_accuracy_computer_security": 0.45454545454545453, + "mmlu_eval_accuracy_conceptual_physics": 0.3076923076923077, + "mmlu_eval_accuracy_econometrics": 0.4166666666666667, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.5625, + "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.5, + "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.8095238095238095, + "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": 0.11764705882352941, + "mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, + "mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364, + "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, + "mmlu_eval_accuracy_human_aging": 0.6086956521739131, + "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": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.8, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7093023255813954, + "mmlu_eval_accuracy_moral_disputes": 0.6842105263157895, + "mmlu_eval_accuracy_moral_scenarios": 0.33, + "mmlu_eval_accuracy_nutrition": 0.6363636363636364, + "mmlu_eval_accuracy_philosophy": 0.6176470588235294, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, + "mmlu_eval_accuracy_professional_law": 0.38823529411764707, + "mmlu_eval_accuracy_professional_medicine": 0.41935483870967744, + "mmlu_eval_accuracy_professional_psychology": 0.5652173913043478, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "mmlu_eval_accuracy_sociology": 0.6818181818181818, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.3244908014336703, + "step": 6400 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.5442, + "step": 6401 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.4762, + "step": 6402 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.4804, + "step": 6403 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.494, + "step": 6404 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.7341, + "step": 6405 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.4806, + "step": 6406 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.5402, + "step": 6407 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.6752, + "step": 6408 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.6435, + "step": 6409 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.5798, + "step": 6410 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.6442, + "step": 6411 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.4089, + "step": 6412 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.5433, + "step": 6413 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.6745, + "step": 6414 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.5581, + "step": 6415 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.5544, + "step": 6416 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.5104, + "step": 6417 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.6377, + "step": 6418 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.4881, + "step": 6419 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.642, + "step": 6420 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.5264, + "step": 6421 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.5606, + "step": 6422 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.5074, + "step": 6423 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.649, + "step": 6424 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.5666, + "step": 6425 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.5129, + "step": 6426 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.6155, + "step": 6427 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.3822, + "step": 6428 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.6279, + "step": 6429 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.5054, + "step": 6430 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.5738, + "step": 6431 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.5644, + "step": 6432 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.5717, + "step": 6433 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.7789, + "step": 6434 + }, + { + "epoch": 1.62, + "learning_rate": 0.0002, + "loss": 0.7235, + "step": 6435 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.6112, + "step": 6436 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.5511, + "step": 6437 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.4892, + "step": 6438 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.5703, + "step": 6439 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.5504, + "step": 6440 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.5235, + "step": 6441 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.7382, + "step": 6442 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.7692, + "step": 6443 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.579, + "step": 6444 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.5383, + "step": 6445 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.6472, + "step": 6446 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.5208, + "step": 6447 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.6497, + "step": 6448 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.6877, + "step": 6449 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.4699, + "step": 6450 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.5036, + "step": 6451 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.6099, + "step": 6452 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.5112, + "step": 6453 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.5043, + "step": 6454 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.4801, + "step": 6455 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.6862, + "step": 6456 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.7018, + "step": 6457 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.7042, + "step": 6458 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.6622, + "step": 6459 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.6093, + "step": 6460 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.4428, + "step": 6461 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.5858, + "step": 6462 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.6341, + "step": 6463 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.5943, + "step": 6464 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.5985, + "step": 6465 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.5229, + "step": 6466 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.4256, + "step": 6467 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.6155, + "step": 6468 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.4912, + "step": 6469 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.5312, + "step": 6470 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.5468, + "step": 6471 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.5284, + "step": 6472 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.5755, + "step": 6473 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.5418, + "step": 6474 + }, + { + "epoch": 1.63, + "learning_rate": 0.0002, + "loss": 0.5376, + "step": 6475 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.6142, + "step": 6476 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5577, + "step": 6477 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5287, + "step": 6478 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5174, + "step": 6479 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.7003, + "step": 6480 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5702, + "step": 6481 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5382, + "step": 6482 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5049, + "step": 6483 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5737, + "step": 6484 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5517, + "step": 6485 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5418, + "step": 6486 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.6417, + "step": 6487 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.595, + "step": 6488 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5868, + "step": 6489 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5774, + "step": 6490 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5239, + "step": 6491 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.526, + "step": 6492 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.4201, + "step": 6493 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.6832, + "step": 6494 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5974, + "step": 6495 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.643, + "step": 6496 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5861, + "step": 6497 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5283, + "step": 6498 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.4144, + "step": 6499 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.6308, + "step": 6500 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.659, + "step": 6501 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5221, + "step": 6502 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5887, + "step": 6503 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5645, + "step": 6504 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.6809, + "step": 6505 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.6049, + "step": 6506 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.4874, + "step": 6507 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5617, + "step": 6508 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.6281, + "step": 6509 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.6404, + "step": 6510 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5246, + "step": 6511 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.708, + "step": 6512 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5489, + "step": 6513 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.5186, + "step": 6514 + }, + { + "epoch": 1.64, + "learning_rate": 0.0002, + "loss": 0.6772, + "step": 6515 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.6741, + "step": 6516 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.6762, + "step": 6517 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.5995, + "step": 6518 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.6421, + "step": 6519 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.7053, + "step": 6520 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.5895, + "step": 6521 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.5597, + "step": 6522 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.462, + "step": 6523 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.5597, + "step": 6524 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.6461, + "step": 6525 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.5787, + "step": 6526 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.4435, + "step": 6527 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.6037, + "step": 6528 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.4875, + "step": 6529 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.5326, + "step": 6530 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.6064, + "step": 6531 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.4855, + "step": 6532 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.5955, + "step": 6533 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.4882, + "step": 6534 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.4751, + "step": 6535 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.5641, + "step": 6536 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.4476, + "step": 6537 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.5375, + "step": 6538 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.6551, + "step": 6539 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.5177, + "step": 6540 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.7736, + "step": 6541 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.4836, + "step": 6542 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.6943, + "step": 6543 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.557, + "step": 6544 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.5825, + "step": 6545 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.4489, + "step": 6546 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.5619, + "step": 6547 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.4422, + "step": 6548 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.5557, + "step": 6549 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.6216, + "step": 6550 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.5693, + "step": 6551 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.5432, + "step": 6552 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.6192, + "step": 6553 + }, + { + "epoch": 1.65, + "learning_rate": 0.0002, + "loss": 0.7636, + "step": 6554 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.6421, + "step": 6555 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.6823, + "step": 6556 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.6543, + "step": 6557 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.6883, + "step": 6558 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.7393, + "step": 6559 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.6823, + "step": 6560 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.6571, + "step": 6561 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.6978, + "step": 6562 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.4536, + "step": 6563 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.6428, + "step": 6564 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.544, + "step": 6565 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.5059, + "step": 6566 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.4407, + "step": 6567 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.8292, + "step": 6568 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.541, + "step": 6569 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.5927, + "step": 6570 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.5587, + "step": 6571 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.585, + "step": 6572 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.4547, + "step": 6573 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.6592, + "step": 6574 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.5555, + "step": 6575 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.5029, + "step": 6576 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.4241, + "step": 6577 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.6458, + "step": 6578 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.5272, + "step": 6579 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.5038, + "step": 6580 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.5691, + "step": 6581 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.5807, + "step": 6582 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.6171, + "step": 6583 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.5673, + "step": 6584 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.594, + "step": 6585 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.8788, + "step": 6586 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.5227, + "step": 6587 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.6585, + "step": 6588 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.6001, + "step": 6589 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.483, + "step": 6590 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.4723, + "step": 6591 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.452, + "step": 6592 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.5556, + "step": 6593 + }, + { + "epoch": 1.66, + "learning_rate": 0.0002, + "loss": 0.4946, + "step": 6594 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.4863, + "step": 6595 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.6804, + "step": 6596 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.4923, + "step": 6597 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.5869, + "step": 6598 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.5011, + "step": 6599 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.5881, + "step": 6600 + }, + { + "epoch": 1.67, + "eval_loss": 0.6913685202598572, + "eval_runtime": 95.203, + "eval_samples_per_second": 10.504, + "eval_steps_per_second": 5.252, + "step": 6600 + }, + { + "epoch": 1.67, + "mmlu_eval_accuracy": 0.5530711959412111, + "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.5625, + "mmlu_eval_accuracy_business_ethics": 0.36363636363636365, + "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": 0.5454545454545454, + "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, + "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, + "mmlu_eval_accuracy_college_physics": 0.5454545454545454, + "mmlu_eval_accuracy_computer_security": 0.45454545454545453, + "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, + "mmlu_eval_accuracy_econometrics": 0.6666666666666666, + "mmlu_eval_accuracy_electrical_engineering": 0.5, + "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.5, + "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.8095238095238095, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5116279069767442, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, + "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, + "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": 0.7307692307692307, + "mmlu_eval_accuracy_human_aging": 0.6086956521739131, + "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": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.7272727272727273, + "mmlu_eval_accuracy_marketing": 0.8, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395, + "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, + "mmlu_eval_accuracy_moral_scenarios": 0.35, + "mmlu_eval_accuracy_nutrition": 0.6363636363636364, + "mmlu_eval_accuracy_philosophy": 0.7058823529411765, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.45161290322580644, + "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": 0.5, + "mmlu_eval_accuracy_security_studies": 0.4074074074074074, + "mmlu_eval_accuracy_sociology": 0.7272727272727273, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.631578947368421, + "mmlu_loss": 1.1065628659709628, + "step": 6600 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.5023, + "step": 6601 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.3844, + "step": 6602 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.5464, + "step": 6603 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.4612, + "step": 6604 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.6224, + "step": 6605 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.6735, + "step": 6606 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.5557, + "step": 6607 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.6937, + "step": 6608 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.4917, + "step": 6609 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.6632, + "step": 6610 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.7305, + "step": 6611 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.5193, + "step": 6612 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.7627, + "step": 6613 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.5879, + "step": 6614 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.5951, + "step": 6615 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.5758, + "step": 6616 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.6055, + "step": 6617 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.3887, + "step": 6618 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.6325, + "step": 6619 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.5567, + "step": 6620 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.5691, + "step": 6621 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.7279, + "step": 6622 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.3538, + "step": 6623 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.4647, + "step": 6624 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.5002, + "step": 6625 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.4637, + "step": 6626 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.7394, + "step": 6627 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.5903, + "step": 6628 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.4839, + "step": 6629 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.4585, + "step": 6630 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.434, + "step": 6631 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.6259, + "step": 6632 + }, + { + "epoch": 1.67, + "learning_rate": 0.0002, + "loss": 0.5724, + "step": 6633 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.6067, + "step": 6634 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.544, + "step": 6635 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.4774, + "step": 6636 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.6089, + "step": 6637 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.4872, + "step": 6638 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.5563, + "step": 6639 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.6617, + "step": 6640 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.4516, + "step": 6641 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.5434, + "step": 6642 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.615, + "step": 6643 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.5384, + "step": 6644 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.4766, + "step": 6645 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.5592, + "step": 6646 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.5557, + "step": 6647 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.6019, + "step": 6648 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.4924, + "step": 6649 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.674, + "step": 6650 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.6436, + "step": 6651 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.5441, + "step": 6652 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.6973, + "step": 6653 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.5974, + "step": 6654 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.6277, + "step": 6655 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.6463, + "step": 6656 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.4983, + "step": 6657 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.7121, + "step": 6658 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.6366, + "step": 6659 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.6698, + "step": 6660 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.6352, + "step": 6661 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.6601, + "step": 6662 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.5458, + "step": 6663 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.5053, + "step": 6664 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.6668, + "step": 6665 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.5703, + "step": 6666 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.5938, + "step": 6667 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.6208, + "step": 6668 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.6952, + "step": 6669 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.5725, + "step": 6670 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.5719, + "step": 6671 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.4915, + "step": 6672 + }, + { + "epoch": 1.68, + "learning_rate": 0.0002, + "loss": 0.4548, + "step": 6673 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.5038, + "step": 6674 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.5001, + "step": 6675 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.5406, + "step": 6676 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.7021, + "step": 6677 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.5738, + "step": 6678 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.7376, + "step": 6679 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.5555, + "step": 6680 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.5234, + "step": 6681 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.6223, + "step": 6682 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.6611, + "step": 6683 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.6596, + "step": 6684 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.4649, + "step": 6685 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.5016, + "step": 6686 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.4708, + "step": 6687 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.6225, + "step": 6688 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.6337, + "step": 6689 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.5104, + "step": 6690 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.6202, + "step": 6691 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.5366, + "step": 6692 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.6933, + "step": 6693 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.6125, + "step": 6694 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.4605, + "step": 6695 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.3618, + "step": 6696 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.4906, + "step": 6697 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.5477, + "step": 6698 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.718, + "step": 6699 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.5156, + "step": 6700 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.5952, + "step": 6701 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.6632, + "step": 6702 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.5517, + "step": 6703 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.4972, + "step": 6704 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.5819, + "step": 6705 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.5685, + "step": 6706 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.6658, + "step": 6707 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.6019, + "step": 6708 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.4331, + "step": 6709 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.5148, + "step": 6710 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.6652, + "step": 6711 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.6318, + "step": 6712 + }, + { + "epoch": 1.69, + "learning_rate": 0.0002, + "loss": 0.6454, + "step": 6713 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.7188, + "step": 6714 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.6263, + "step": 6715 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.4566, + "step": 6716 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.633, + "step": 6717 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.7059, + "step": 6718 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.3527, + "step": 6719 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.5447, + "step": 6720 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.6561, + "step": 6721 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.5004, + "step": 6722 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.7362, + "step": 6723 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.6495, + "step": 6724 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.6918, + "step": 6725 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.6064, + "step": 6726 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.6314, + "step": 6727 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.5882, + "step": 6728 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.5922, + "step": 6729 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.6046, + "step": 6730 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.5648, + "step": 6731 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.7127, + "step": 6732 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.6938, + "step": 6733 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.6673, + "step": 6734 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.4307, + "step": 6735 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.6919, + "step": 6736 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.5355, + "step": 6737 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.4892, + "step": 6738 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.51, + "step": 6739 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.5279, + "step": 6740 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.6893, + "step": 6741 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.8247, + "step": 6742 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.6045, + "step": 6743 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.402, + "step": 6744 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.6457, + "step": 6745 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.5703, + "step": 6746 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.5742, + "step": 6747 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.6119, + "step": 6748 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.4722, + "step": 6749 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.5713, + "step": 6750 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.5416, + "step": 6751 + }, + { + "epoch": 1.7, + "learning_rate": 0.0002, + "loss": 0.5733, + "step": 6752 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.5379, + "step": 6753 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.718, + "step": 6754 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.5138, + "step": 6755 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.6138, + "step": 6756 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.4761, + "step": 6757 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.6898, + "step": 6758 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.4743, + "step": 6759 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.4702, + "step": 6760 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.5632, + "step": 6761 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.5522, + "step": 6762 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.6826, + "step": 6763 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.5585, + "step": 6764 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.591, + "step": 6765 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.6565, + "step": 6766 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.6094, + "step": 6767 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.4879, + "step": 6768 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.6213, + "step": 6769 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.5679, + "step": 6770 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.5989, + "step": 6771 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.6134, + "step": 6772 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.5929, + "step": 6773 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.7105, + "step": 6774 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.6935, + "step": 6775 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.575, + "step": 6776 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.6241, + "step": 6777 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.5849, + "step": 6778 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.5892, + "step": 6779 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.6727, + "step": 6780 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.4756, + "step": 6781 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.55, + "step": 6782 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.4957, + "step": 6783 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.5581, + "step": 6784 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.57, + "step": 6785 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.5239, + "step": 6786 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.5723, + "step": 6787 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.6278, + "step": 6788 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.5011, + "step": 6789 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.6386, + "step": 6790 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.5285, + "step": 6791 + }, + { + "epoch": 1.71, + "learning_rate": 0.0002, + "loss": 0.4994, + "step": 6792 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.59, + "step": 6793 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.5617, + "step": 6794 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.7218, + "step": 6795 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.5534, + "step": 6796 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.5831, + "step": 6797 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.4812, + "step": 6798 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.5652, + "step": 6799 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.5003, + "step": 6800 + }, + { + "epoch": 1.72, + "eval_loss": 0.6875091791152954, + "eval_runtime": 95.1959, + "eval_samples_per_second": 10.505, + "eval_steps_per_second": 5.252, + "step": 6800 + }, + { + "epoch": 1.72, + "mmlu_eval_accuracy": 0.5433650766295333, + "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.625, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552, + "mmlu_eval_accuracy_college_biology": 0.5, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.6363636363636364, + "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, + "mmlu_eval_accuracy_college_physics": 0.36363636363636365, + "mmlu_eval_accuracy_computer_security": 0.45454545454545453, + "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": 0.3902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.4, + "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": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.8095238095238095, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5, + "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, + "mmlu_eval_accuracy_high_school_psychology": 0.85, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, + "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": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.7272727272727273, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.36, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.5882352941176471, + "mmlu_eval_accuracy_prehistory": 0.4, + "mmlu_eval_accuracy_professional_accounting": 0.45161290322580644, + "mmlu_eval_accuracy_professional_law": 0.37058823529411766, + "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, + "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, + "mmlu_eval_accuracy_public_relations": 0.4166666666666667, + "mmlu_eval_accuracy_security_studies": 0.4444444444444444, + "mmlu_eval_accuracy_sociology": 0.7272727272727273, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.6842105263157895, + "mmlu_loss": 1.2229183273433706, + "step": 6800 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.6189, + "step": 6801 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.7015, + "step": 6802 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.6259, + "step": 6803 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.5449, + "step": 6804 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.458, + "step": 6805 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.5421, + "step": 6806 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.621, + "step": 6807 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.478, + "step": 6808 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.6239, + "step": 6809 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.6704, + "step": 6810 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.5635, + "step": 6811 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.55, + "step": 6812 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.7945, + "step": 6813 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.6964, + "step": 6814 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.6528, + "step": 6815 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.5089, + "step": 6816 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.5453, + "step": 6817 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.7327, + "step": 6818 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.6713, + "step": 6819 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.4963, + "step": 6820 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.6062, + "step": 6821 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.7792, + "step": 6822 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.6445, + "step": 6823 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.5988, + "step": 6824 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.6465, + "step": 6825 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.7069, + "step": 6826 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.749, + "step": 6827 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.4387, + "step": 6828 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.4382, + "step": 6829 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.7398, + "step": 6830 + }, + { + "epoch": 1.72, + "learning_rate": 0.0002, + "loss": 0.4696, + "step": 6831 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.5908, + "step": 6832 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.6386, + "step": 6833 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.6885, + "step": 6834 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.5174, + "step": 6835 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.5305, + "step": 6836 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.501, + "step": 6837 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.5941, + "step": 6838 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.5309, + "step": 6839 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.5321, + "step": 6840 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.5379, + "step": 6841 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.6205, + "step": 6842 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.567, + "step": 6843 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.6695, + "step": 6844 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.7663, + "step": 6845 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.5167, + "step": 6846 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.6205, + "step": 6847 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.5616, + "step": 6848 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.4763, + "step": 6849 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.8438, + "step": 6850 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.6122, + "step": 6851 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.5589, + "step": 6852 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.6498, + "step": 6853 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.6084, + "step": 6854 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.5447, + "step": 6855 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.5491, + "step": 6856 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.7658, + "step": 6857 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.6394, + "step": 6858 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.5543, + "step": 6859 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.6318, + "step": 6860 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.6474, + "step": 6861 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.5414, + "step": 6862 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.5972, + "step": 6863 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.5517, + "step": 6864 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.6648, + "step": 6865 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.7038, + "step": 6866 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.5519, + "step": 6867 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.5459, + "step": 6868 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.5853, + "step": 6869 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.6442, + "step": 6870 + }, + { + "epoch": 1.73, + "learning_rate": 0.0002, + "loss": 0.7425, + "step": 6871 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.5707, + "step": 6872 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.6935, + "step": 6873 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.6418, + "step": 6874 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.4531, + "step": 6875 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.6122, + "step": 6876 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.4187, + "step": 6877 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.4434, + "step": 6878 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.5841, + "step": 6879 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.4391, + "step": 6880 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.5593, + "step": 6881 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.6152, + "step": 6882 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.458, + "step": 6883 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.5619, + "step": 6884 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.5384, + "step": 6885 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.5635, + "step": 6886 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.6758, + "step": 6887 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.4973, + "step": 6888 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.6104, + "step": 6889 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.5391, + "step": 6890 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.6775, + "step": 6891 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.4999, + "step": 6892 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.5909, + "step": 6893 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.5948, + "step": 6894 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.5878, + "step": 6895 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.4569, + "step": 6896 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.7867, + "step": 6897 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.5488, + "step": 6898 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.6484, + "step": 6899 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.4521, + "step": 6900 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.4558, + "step": 6901 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.5707, + "step": 6902 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.5034, + "step": 6903 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.5075, + "step": 6904 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.7107, + "step": 6905 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.572, + "step": 6906 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.4402, + "step": 6907 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.7501, + "step": 6908 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.6081, + "step": 6909 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.8293, + "step": 6910 + }, + { + "epoch": 1.74, + "learning_rate": 0.0002, + "loss": 0.6687, + "step": 6911 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5443, + "step": 6912 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.612, + "step": 6913 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5542, + "step": 6914 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5408, + "step": 6915 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5424, + "step": 6916 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5233, + "step": 6917 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5367, + "step": 6918 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5651, + "step": 6919 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5034, + "step": 6920 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.8246, + "step": 6921 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5356, + "step": 6922 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.6003, + "step": 6923 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5736, + "step": 6924 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.558, + "step": 6925 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.4385, + "step": 6926 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5818, + "step": 6927 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.6422, + "step": 6928 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.8532, + "step": 6929 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5306, + "step": 6930 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5851, + "step": 6931 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.4928, + "step": 6932 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5521, + "step": 6933 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5849, + "step": 6934 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.7056, + "step": 6935 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5101, + "step": 6936 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5135, + "step": 6937 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5439, + "step": 6938 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5325, + "step": 6939 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.6524, + "step": 6940 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.4864, + "step": 6941 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5679, + "step": 6942 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5701, + "step": 6943 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.4885, + "step": 6944 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5738, + "step": 6945 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.6665, + "step": 6946 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5188, + "step": 6947 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.4648, + "step": 6948 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5628, + "step": 6949 + }, + { + "epoch": 1.75, + "learning_rate": 0.0002, + "loss": 0.5774, + "step": 6950 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.555, + "step": 6951 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.63, + "step": 6952 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.5829, + "step": 6953 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.6902, + "step": 6954 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.6161, + "step": 6955 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.6798, + "step": 6956 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.6676, + "step": 6957 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.6239, + "step": 6958 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.6377, + "step": 6959 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.6464, + "step": 6960 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.7167, + "step": 6961 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.5926, + "step": 6962 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.6858, + "step": 6963 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.4163, + "step": 6964 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.5657, + "step": 6965 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.5388, + "step": 6966 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.5669, + "step": 6967 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.582, + "step": 6968 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.6266, + "step": 6969 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.6886, + "step": 6970 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.6085, + "step": 6971 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.7761, + "step": 6972 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.5051, + "step": 6973 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.5293, + "step": 6974 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.6966, + "step": 6975 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.6623, + "step": 6976 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.5968, + "step": 6977 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.5983, + "step": 6978 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.5059, + "step": 6979 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.6759, + "step": 6980 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.7731, + "step": 6981 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.6439, + "step": 6982 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.4768, + "step": 6983 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.5604, + "step": 6984 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.6352, + "step": 6985 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.5402, + "step": 6986 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.5797, + "step": 6987 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.6962, + "step": 6988 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.6025, + "step": 6989 + }, + { + "epoch": 1.76, + "learning_rate": 0.0002, + "loss": 0.5721, + "step": 6990 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.4752, + "step": 6991 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.6699, + "step": 6992 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.5866, + "step": 6993 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.7265, + "step": 6994 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.5599, + "step": 6995 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.6024, + "step": 6996 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.4811, + "step": 6997 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.6456, + "step": 6998 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.5218, + "step": 6999 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.7218, + "step": 7000 + }, + { + "epoch": 1.77, + "eval_loss": 0.6896032691001892, + "eval_runtime": 95.1915, + "eval_samples_per_second": 10.505, + "eval_steps_per_second": 5.253, + "step": 7000 + }, + { + "epoch": 1.77, + "mmlu_eval_accuracy": 0.5606561549698938, + "mmlu_eval_accuracy_abstract_algebra": 0.09090909090909091, + "mmlu_eval_accuracy_anatomy": 0.35714285714285715, + "mmlu_eval_accuracy_astronomy": 0.625, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.6363636363636364, + "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, + "mmlu_eval_accuracy_college_medicine": 0.45454545454545453, + "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": 0.5833333333333334, + "mmlu_eval_accuracy_electrical_engineering": 0.5, + "mmlu_eval_accuracy_elementary_mathematics": 0.4634146341463415, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.4, + "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": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.8095238095238095, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, + "mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333, + "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, + "mmlu_eval_accuracy_human_aging": 0.6956521739130435, + "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": 0.7222222222222222, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.8, + "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": 0.39, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.6764705882352942, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, + "mmlu_eval_accuracy_professional_law": 0.40588235294117647, + "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, + "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.5185185185185185, + "mmlu_eval_accuracy_sociology": 0.6818181818181818, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.6842105263157895, + "mmlu_loss": 1.247507039992523, + "step": 7000 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.5634, + "step": 7001 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.6284, + "step": 7002 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.4908, + "step": 7003 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.6067, + "step": 7004 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.5465, + "step": 7005 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.7289, + "step": 7006 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.3872, + "step": 7007 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.5605, + "step": 7008 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.7284, + "step": 7009 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.4377, + "step": 7010 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.5384, + "step": 7011 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.6978, + "step": 7012 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.6808, + "step": 7013 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.6323, + "step": 7014 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.7764, + "step": 7015 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.5246, + "step": 7016 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.4006, + "step": 7017 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.5196, + "step": 7018 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.5896, + "step": 7019 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.496, + "step": 7020 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.5829, + "step": 7021 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.5544, + "step": 7022 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.4995, + "step": 7023 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.5109, + "step": 7024 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.5267, + "step": 7025 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.5646, + "step": 7026 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.5861, + "step": 7027 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.5892, + "step": 7028 + }, + { + "epoch": 1.77, + "learning_rate": 0.0002, + "loss": 0.6131, + "step": 7029 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.6202, + "step": 7030 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.5613, + "step": 7031 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.5632, + "step": 7032 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.732, + "step": 7033 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.6647, + "step": 7034 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.6964, + "step": 7035 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.6405, + "step": 7036 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.5213, + "step": 7037 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.5578, + "step": 7038 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.4619, + "step": 7039 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.7694, + "step": 7040 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.5473, + "step": 7041 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.5232, + "step": 7042 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.5034, + "step": 7043 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.7515, + "step": 7044 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.7149, + "step": 7045 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.7542, + "step": 7046 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.5522, + "step": 7047 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.6716, + "step": 7048 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.4314, + "step": 7049 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.4861, + "step": 7050 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.4807, + "step": 7051 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.6963, + "step": 7052 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.4429, + "step": 7053 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.5637, + "step": 7054 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.561, + "step": 7055 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.5359, + "step": 7056 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.5357, + "step": 7057 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.5544, + "step": 7058 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.6279, + "step": 7059 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.5916, + "step": 7060 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.4203, + "step": 7061 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.51, + "step": 7062 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.6326, + "step": 7063 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.6097, + "step": 7064 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.5106, + "step": 7065 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.5729, + "step": 7066 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.4809, + "step": 7067 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.7029, + "step": 7068 + }, + { + "epoch": 1.78, + "learning_rate": 0.0002, + "loss": 0.6309, + "step": 7069 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.6642, + "step": 7070 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.5161, + "step": 7071 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.6582, + "step": 7072 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.6637, + "step": 7073 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.6699, + "step": 7074 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.5576, + "step": 7075 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.5792, + "step": 7076 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.5807, + "step": 7077 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.4962, + "step": 7078 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.5638, + "step": 7079 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.5395, + "step": 7080 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.5171, + "step": 7081 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.4748, + "step": 7082 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.5823, + "step": 7083 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.5337, + "step": 7084 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.515, + "step": 7085 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.5838, + "step": 7086 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.5856, + "step": 7087 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.5791, + "step": 7088 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.6666, + "step": 7089 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.5975, + "step": 7090 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.5275, + "step": 7091 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.6157, + "step": 7092 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.5295, + "step": 7093 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.7147, + "step": 7094 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.4979, + "step": 7095 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.6194, + "step": 7096 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.5723, + "step": 7097 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.4281, + "step": 7098 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.7429, + "step": 7099 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.6564, + "step": 7100 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.5603, + "step": 7101 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.6112, + "step": 7102 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.6301, + "step": 7103 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.7551, + "step": 7104 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.6695, + "step": 7105 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.5279, + "step": 7106 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.6184, + "step": 7107 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.5457, + "step": 7108 + }, + { + "epoch": 1.79, + "learning_rate": 0.0002, + "loss": 0.5119, + "step": 7109 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.4969, + "step": 7110 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.5655, + "step": 7111 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.4459, + "step": 7112 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.6837, + "step": 7113 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.5844, + "step": 7114 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.5259, + "step": 7115 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.6535, + "step": 7116 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.5115, + "step": 7117 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.5627, + "step": 7118 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.4805, + "step": 7119 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.532, + "step": 7120 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.6183, + "step": 7121 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.5229, + "step": 7122 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.5657, + "step": 7123 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.5091, + "step": 7124 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.6231, + "step": 7125 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.6069, + "step": 7126 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.6154, + "step": 7127 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.6493, + "step": 7128 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.6162, + "step": 7129 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.5091, + "step": 7130 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.7202, + "step": 7131 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.4873, + "step": 7132 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.4958, + "step": 7133 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.7888, + "step": 7134 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.5653, + "step": 7135 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.6989, + "step": 7136 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.521, + "step": 7137 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.4814, + "step": 7138 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.485, + "step": 7139 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.8359, + "step": 7140 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.5921, + "step": 7141 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.66, + "step": 7142 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.5088, + "step": 7143 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.6022, + "step": 7144 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.6039, + "step": 7145 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.7591, + "step": 7146 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.6108, + "step": 7147 + }, + { + "epoch": 1.8, + "learning_rate": 0.0002, + "loss": 0.6367, + "step": 7148 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.5863, + "step": 7149 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.6669, + "step": 7150 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.7752, + "step": 7151 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.5722, + "step": 7152 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.6058, + "step": 7153 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.7655, + "step": 7154 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.5861, + "step": 7155 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.5937, + "step": 7156 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.6063, + "step": 7157 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.5682, + "step": 7158 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.5598, + "step": 7159 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.6451, + "step": 7160 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.5331, + "step": 7161 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.5368, + "step": 7162 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.4702, + "step": 7163 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.5532, + "step": 7164 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.6594, + "step": 7165 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.579, + "step": 7166 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.5743, + "step": 7167 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.2918, + "step": 7168 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.4791, + "step": 7169 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.6668, + "step": 7170 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.6868, + "step": 7171 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.5372, + "step": 7172 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.7391, + "step": 7173 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.5385, + "step": 7174 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.6053, + "step": 7175 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.5241, + "step": 7176 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.4181, + "step": 7177 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.4976, + "step": 7178 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.559, + "step": 7179 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.646, + "step": 7180 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.3919, + "step": 7181 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.579, + "step": 7182 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.5263, + "step": 7183 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.6372, + "step": 7184 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.5009, + "step": 7185 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.5783, + "step": 7186 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.5836, + "step": 7187 + }, + { + "epoch": 1.81, + "learning_rate": 0.0002, + "loss": 0.5274, + "step": 7188 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.6633, + "step": 7189 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.7454, + "step": 7190 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.5721, + "step": 7191 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.5252, + "step": 7192 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.77, + "step": 7193 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.6513, + "step": 7194 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.5253, + "step": 7195 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.5462, + "step": 7196 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.4713, + "step": 7197 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.4897, + "step": 7198 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.5694, + "step": 7199 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.7072, + "step": 7200 + }, + { + "epoch": 1.82, + "eval_loss": 0.688942551612854, + "eval_runtime": 95.2316, + "eval_samples_per_second": 10.501, + "eval_steps_per_second": 5.25, + "step": 7200 + }, + { + "epoch": 1.82, + "mmlu_eval_accuracy": 0.5310386272573394, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.5, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.75, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, + "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": 0.2727272727272727, + "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, + "mmlu_eval_accuracy_econometrics": 0.3333333333333333, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.42857142857142855, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.46875, + "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "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": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, + "mmlu_eval_accuracy_human_aging": 0.6086956521739131, + "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": 0.7222222222222222, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.686046511627907, + "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, + "mmlu_eval_accuracy_moral_scenarios": 0.34, + "mmlu_eval_accuracy_nutrition": 0.6060606060606061, + "mmlu_eval_accuracy_philosophy": 0.6176470588235294, + "mmlu_eval_accuracy_prehistory": 0.5142857142857142, + "mmlu_eval_accuracy_professional_accounting": 0.3548387096774194, + "mmlu_eval_accuracy_professional_law": 0.3588235294117647, + "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, + "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.4074074074074074, + "mmlu_eval_accuracy_sociology": 0.6818181818181818, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.6842105263157895, + "mmlu_loss": 1.1444886230885516, + "step": 7200 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.4256, + "step": 7201 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.4854, + "step": 7202 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.603, + "step": 7203 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.5752, + "step": 7204 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.563, + "step": 7205 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.705, + "step": 7206 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.7061, + "step": 7207 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.6733, + "step": 7208 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.5041, + "step": 7209 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.6115, + "step": 7210 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.4491, + "step": 7211 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.6263, + "step": 7212 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.6683, + "step": 7213 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.6823, + "step": 7214 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.5682, + "step": 7215 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.5452, + "step": 7216 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.5967, + "step": 7217 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.6693, + "step": 7218 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.6414, + "step": 7219 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.6257, + "step": 7220 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.5729, + "step": 7221 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.5257, + "step": 7222 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.5362, + "step": 7223 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.6374, + "step": 7224 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.6872, + "step": 7225 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.5083, + "step": 7226 + }, + { + "epoch": 1.82, + "learning_rate": 0.0002, + "loss": 0.4907, + "step": 7227 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.4384, + "step": 7228 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.8833, + "step": 7229 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.6498, + "step": 7230 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.5333, + "step": 7231 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.5746, + "step": 7232 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.7396, + "step": 7233 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.5641, + "step": 7234 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.4716, + "step": 7235 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.6352, + "step": 7236 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.7253, + "step": 7237 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.5929, + "step": 7238 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.5698, + "step": 7239 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.6437, + "step": 7240 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.6947, + "step": 7241 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.5805, + "step": 7242 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.5535, + "step": 7243 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.5774, + "step": 7244 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.6163, + "step": 7245 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.5291, + "step": 7246 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.7224, + "step": 7247 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.6059, + "step": 7248 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.7978, + "step": 7249 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.7518, + "step": 7250 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.7026, + "step": 7251 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.6495, + "step": 7252 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.6299, + "step": 7253 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.6709, + "step": 7254 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.4515, + "step": 7255 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.6366, + "step": 7256 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.5127, + "step": 7257 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.6446, + "step": 7258 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.5595, + "step": 7259 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.5508, + "step": 7260 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.6474, + "step": 7261 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.5432, + "step": 7262 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.6496, + "step": 7263 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.622, + "step": 7264 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.4585, + "step": 7265 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.6715, + "step": 7266 + }, + { + "epoch": 1.83, + "learning_rate": 0.0002, + "loss": 0.5082, + "step": 7267 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.5253, + "step": 7268 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.6334, + "step": 7269 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.5396, + "step": 7270 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.6883, + "step": 7271 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.6278, + "step": 7272 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.5928, + "step": 7273 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.5081, + "step": 7274 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.5284, + "step": 7275 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.5868, + "step": 7276 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.6284, + "step": 7277 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.6817, + "step": 7278 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.4985, + "step": 7279 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.5478, + "step": 7280 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.651, + "step": 7281 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.5625, + "step": 7282 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.5601, + "step": 7283 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.4994, + "step": 7284 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.5194, + "step": 7285 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.5274, + "step": 7286 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.633, + "step": 7287 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.536, + "step": 7288 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.5583, + "step": 7289 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.6891, + "step": 7290 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.3815, + "step": 7291 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.5903, + "step": 7292 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.632, + "step": 7293 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.4641, + "step": 7294 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.5046, + "step": 7295 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.6169, + "step": 7296 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.5943, + "step": 7297 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.4965, + "step": 7298 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.5095, + "step": 7299 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.8423, + "step": 7300 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.6555, + "step": 7301 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.6428, + "step": 7302 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.5492, + "step": 7303 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.4016, + "step": 7304 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.4943, + "step": 7305 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.6525, + "step": 7306 + }, + { + "epoch": 1.84, + "learning_rate": 0.0002, + "loss": 0.7044, + "step": 7307 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.5755, + "step": 7308 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.5757, + "step": 7309 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.4439, + "step": 7310 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.7821, + "step": 7311 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.4737, + "step": 7312 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.5159, + "step": 7313 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.554, + "step": 7314 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.4651, + "step": 7315 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.4954, + "step": 7316 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.7039, + "step": 7317 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.428, + "step": 7318 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.657, + "step": 7319 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.4952, + "step": 7320 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.6873, + "step": 7321 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.6365, + "step": 7322 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.7178, + "step": 7323 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.6242, + "step": 7324 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.4768, + "step": 7325 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.7001, + "step": 7326 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.6079, + "step": 7327 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.5431, + "step": 7328 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.4972, + "step": 7329 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.6406, + "step": 7330 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.7033, + "step": 7331 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.6753, + "step": 7332 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.4835, + "step": 7333 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.6244, + "step": 7334 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.5519, + "step": 7335 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.9051, + "step": 7336 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.4687, + "step": 7337 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.6265, + "step": 7338 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.5245, + "step": 7339 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.5113, + "step": 7340 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.6393, + "step": 7341 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.6349, + "step": 7342 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.621, + "step": 7343 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.6804, + "step": 7344 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.5149, + "step": 7345 + }, + { + "epoch": 1.85, + "learning_rate": 0.0002, + "loss": 0.584, + "step": 7346 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.5662, + "step": 7347 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.6091, + "step": 7348 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.7224, + "step": 7349 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.5296, + "step": 7350 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.5808, + "step": 7351 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.7149, + "step": 7352 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.5909, + "step": 7353 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.5134, + "step": 7354 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.5137, + "step": 7355 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.6726, + "step": 7356 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.5029, + "step": 7357 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.529, + "step": 7358 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.6508, + "step": 7359 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.7622, + "step": 7360 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.6006, + "step": 7361 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.5407, + "step": 7362 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.6435, + "step": 7363 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.5338, + "step": 7364 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.6266, + "step": 7365 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.6073, + "step": 7366 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.6135, + "step": 7367 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.4973, + "step": 7368 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.5271, + "step": 7369 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.6095, + "step": 7370 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.5116, + "step": 7371 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.6079, + "step": 7372 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.544, + "step": 7373 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.4125, + "step": 7374 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.567, + "step": 7375 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.5516, + "step": 7376 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.5003, + "step": 7377 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.4126, + "step": 7378 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.5616, + "step": 7379 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.6419, + "step": 7380 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.4889, + "step": 7381 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.602, + "step": 7382 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.8244, + "step": 7383 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.5165, + "step": 7384 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.6026, + "step": 7385 + }, + { + "epoch": 1.86, + "learning_rate": 0.0002, + "loss": 0.6938, + "step": 7386 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.686, + "step": 7387 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.5153, + "step": 7388 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.6282, + "step": 7389 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.6118, + "step": 7390 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.6908, + "step": 7391 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.7506, + "step": 7392 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.6813, + "step": 7393 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.5328, + "step": 7394 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.7627, + "step": 7395 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.5345, + "step": 7396 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.5941, + "step": 7397 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.4392, + "step": 7398 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.659, + "step": 7399 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.6841, + "step": 7400 + }, + { + "epoch": 1.87, + "eval_loss": 0.6856017112731934, + "eval_runtime": 95.1789, + "eval_samples_per_second": 10.507, + "eval_steps_per_second": 5.253, + "step": 7400 + }, + { + "epoch": 1.87, + "mmlu_eval_accuracy": 0.5452638578294983, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.5625, + "mmlu_eval_accuracy_business_ethics": 0.8181818181818182, + "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": 0.2727272727272727, + "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.45454545454545453, + "mmlu_eval_accuracy_college_physics": 0.36363636363636365, + "mmlu_eval_accuracy_computer_security": 0.36363636363636365, + "mmlu_eval_accuracy_conceptual_physics": 0.5, + "mmlu_eval_accuracy_econometrics": 0.4166666666666667, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.4, + "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": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, + "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069, + "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, + "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": 0.4166666666666667, + "mmlu_eval_accuracy_international_law": 0.9230769230769231, + "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.7222222222222222, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.6744186046511628, + "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, + "mmlu_eval_accuracy_moral_scenarios": 0.39, + "mmlu_eval_accuracy_nutrition": 0.5454545454545454, + "mmlu_eval_accuracy_philosophy": 0.6470588235294118, + "mmlu_eval_accuracy_prehistory": 0.45714285714285713, + "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, + "mmlu_eval_accuracy_professional_law": 0.40588235294117647, + "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, + "mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "mmlu_eval_accuracy_sociology": 0.5909090909090909, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 0.9803888515980219, + "step": 7400 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.6453, + "step": 7401 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.5906, + "step": 7402 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.6254, + "step": 7403 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.5029, + "step": 7404 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.5455, + "step": 7405 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.5122, + "step": 7406 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.5833, + "step": 7407 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.5576, + "step": 7408 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.5597, + "step": 7409 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.6294, + "step": 7410 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.5471, + "step": 7411 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.7612, + "step": 7412 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.6116, + "step": 7413 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.7454, + "step": 7414 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.4413, + "step": 7415 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.5483, + "step": 7416 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.6017, + "step": 7417 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.5873, + "step": 7418 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.5565, + "step": 7419 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.6261, + "step": 7420 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.4881, + "step": 7421 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.5661, + "step": 7422 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.8131, + "step": 7423 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.6395, + "step": 7424 + }, + { + "epoch": 1.87, + "learning_rate": 0.0002, + "loss": 0.4164, + "step": 7425 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.5032, + "step": 7426 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.587, + "step": 7427 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.4535, + "step": 7428 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.6684, + "step": 7429 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.6282, + "step": 7430 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.5569, + "step": 7431 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.5607, + "step": 7432 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.5507, + "step": 7433 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.4468, + "step": 7434 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.5624, + "step": 7435 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.6994, + "step": 7436 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.5119, + "step": 7437 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.6018, + "step": 7438 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.5655, + "step": 7439 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.6835, + "step": 7440 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.5748, + "step": 7441 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.6505, + "step": 7442 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.6989, + "step": 7443 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.6697, + "step": 7444 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.4582, + "step": 7445 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.5846, + "step": 7446 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.6281, + "step": 7447 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.4775, + "step": 7448 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.6015, + "step": 7449 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.6297, + "step": 7450 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.6477, + "step": 7451 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.4517, + "step": 7452 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.4572, + "step": 7453 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.634, + "step": 7454 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.7184, + "step": 7455 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.5897, + "step": 7456 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.5351, + "step": 7457 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.5183, + "step": 7458 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.5149, + "step": 7459 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.6488, + "step": 7460 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.5139, + "step": 7461 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.7136, + "step": 7462 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.5478, + "step": 7463 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.5439, + "step": 7464 + }, + { + "epoch": 1.88, + "learning_rate": 0.0002, + "loss": 0.6342, + "step": 7465 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.7232, + "step": 7466 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.5808, + "step": 7467 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.4873, + "step": 7468 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.7536, + "step": 7469 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.528, + "step": 7470 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.5825, + "step": 7471 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.5316, + "step": 7472 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.6419, + "step": 7473 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.6105, + "step": 7474 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.5947, + "step": 7475 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.7025, + "step": 7476 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.5535, + "step": 7477 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.6487, + "step": 7478 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.5861, + "step": 7479 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.6969, + "step": 7480 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.6284, + "step": 7481 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.5127, + "step": 7482 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.6138, + "step": 7483 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.7209, + "step": 7484 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.6302, + "step": 7485 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.5448, + "step": 7486 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.5621, + "step": 7487 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.6704, + "step": 7488 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.6194, + "step": 7489 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.5379, + "step": 7490 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.6549, + "step": 7491 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.5846, + "step": 7492 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.602, + "step": 7493 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.7447, + "step": 7494 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.7109, + "step": 7495 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.6233, + "step": 7496 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.6496, + "step": 7497 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.7729, + "step": 7498 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.6735, + "step": 7499 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.7353, + "step": 7500 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.6839, + "step": 7501 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.5211, + "step": 7502 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.4859, + "step": 7503 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.6767, + "step": 7504 + }, + { + "epoch": 1.89, + "learning_rate": 0.0002, + "loss": 0.6891, + "step": 7505 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.509, + "step": 7506 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.431, + "step": 7507 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.5154, + "step": 7508 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.4181, + "step": 7509 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.6626, + "step": 7510 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.5883, + "step": 7511 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.6974, + "step": 7512 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.4453, + "step": 7513 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.5537, + "step": 7514 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.6324, + "step": 7515 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.6248, + "step": 7516 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.6809, + "step": 7517 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.5755, + "step": 7518 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.602, + "step": 7519 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.7844, + "step": 7520 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.5066, + "step": 7521 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.589, + "step": 7522 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.6358, + "step": 7523 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.5803, + "step": 7524 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.7312, + "step": 7525 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.5852, + "step": 7526 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.6031, + "step": 7527 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.6829, + "step": 7528 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.5942, + "step": 7529 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.6105, + "step": 7530 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.6647, + "step": 7531 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.6557, + "step": 7532 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.6047, + "step": 7533 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.6572, + "step": 7534 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.5365, + "step": 7535 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.6711, + "step": 7536 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.5059, + "step": 7537 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.7494, + "step": 7538 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.5101, + "step": 7539 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.5445, + "step": 7540 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.4683, + "step": 7541 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.7286, + "step": 7542 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.4929, + "step": 7543 + }, + { + "epoch": 1.9, + "learning_rate": 0.0002, + "loss": 0.7254, + "step": 7544 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.4546, + "step": 7545 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.5423, + "step": 7546 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.5626, + "step": 7547 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.8185, + "step": 7548 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.4683, + "step": 7549 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.4926, + "step": 7550 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.8042, + "step": 7551 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.6337, + "step": 7552 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.6386, + "step": 7553 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.5839, + "step": 7554 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.5357, + "step": 7555 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.486, + "step": 7556 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.6611, + "step": 7557 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.6702, + "step": 7558 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.6121, + "step": 7559 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.59, + "step": 7560 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.4599, + "step": 7561 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.4633, + "step": 7562 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.7602, + "step": 7563 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.4563, + "step": 7564 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.7075, + "step": 7565 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.5599, + "step": 7566 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.4968, + "step": 7567 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.7227, + "step": 7568 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.5936, + "step": 7569 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.5805, + "step": 7570 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.5843, + "step": 7571 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.5462, + "step": 7572 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.4824, + "step": 7573 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.6023, + "step": 7574 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.6085, + "step": 7575 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.6746, + "step": 7576 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.5224, + "step": 7577 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.5116, + "step": 7578 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.4307, + "step": 7579 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.6423, + "step": 7580 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.7519, + "step": 7581 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.3803, + "step": 7582 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.702, + "step": 7583 + }, + { + "epoch": 1.91, + "learning_rate": 0.0002, + "loss": 0.5609, + "step": 7584 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.5361, + "step": 7585 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.5753, + "step": 7586 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.5244, + "step": 7587 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.4376, + "step": 7588 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.4746, + "step": 7589 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.5662, + "step": 7590 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.6482, + "step": 7591 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.5462, + "step": 7592 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.6499, + "step": 7593 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.5249, + "step": 7594 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.5413, + "step": 7595 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.5446, + "step": 7596 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.6239, + "step": 7597 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.492, + "step": 7598 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.5341, + "step": 7599 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.716, + "step": 7600 + }, + { + "epoch": 1.92, + "eval_loss": 0.6919541358947754, + "eval_runtime": 95.2373, + "eval_samples_per_second": 10.5, + "eval_steps_per_second": 5.25, + "step": 7600 + }, + { + "epoch": 1.92, + "mmlu_eval_accuracy": 0.5308365556866048, + "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.625, + "mmlu_eval_accuracy_business_ethics": 0.8181818181818182, + "mmlu_eval_accuracy_clinical_knowledge": 0.41379310344827586, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, + "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": 0.36363636363636365, + "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, + "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": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.2, + "mmlu_eval_accuracy_high_school_biology": 0.4375, + "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.4418604651162791, + "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": 0.85, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, + "mmlu_eval_accuracy_human_aging": 0.782608695652174, + "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, + "mmlu_eval_accuracy_international_law": 0.8461538461538461, + "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": 0.8, + "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": 0.31, + "mmlu_eval_accuracy_nutrition": 0.5757575757575758, + "mmlu_eval_accuracy_philosophy": 0.5, + "mmlu_eval_accuracy_prehistory": 0.45714285714285713, + "mmlu_eval_accuracy_professional_accounting": 0.45161290322580644, + "mmlu_eval_accuracy_professional_law": 0.3764705882352941, + "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, + "mmlu_eval_accuracy_professional_psychology": 0.5652173913043478, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.5185185185185185, + "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": 0.7368421052631579, + "mmlu_loss": 0.8435128089040518, + "step": 7600 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.5073, + "step": 7601 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.6074, + "step": 7602 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.492, + "step": 7603 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.4869, + "step": 7604 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.7298, + "step": 7605 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.6404, + "step": 7606 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.6541, + "step": 7607 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.5769, + "step": 7608 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.85, + "step": 7609 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.5321, + "step": 7610 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.5838, + "step": 7611 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.6076, + "step": 7612 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.5589, + "step": 7613 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.5835, + "step": 7614 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.4911, + "step": 7615 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.4063, + "step": 7616 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.5397, + "step": 7617 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.6861, + "step": 7618 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.4345, + "step": 7619 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.5932, + "step": 7620 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.5519, + "step": 7621 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.7421, + "step": 7622 + }, + { + "epoch": 1.92, + "learning_rate": 0.0002, + "loss": 0.6211, + "step": 7623 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.5555, + "step": 7624 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.5278, + "step": 7625 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.6013, + "step": 7626 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.5851, + "step": 7627 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.6149, + "step": 7628 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.5793, + "step": 7629 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.5479, + "step": 7630 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.622, + "step": 7631 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.7553, + "step": 7632 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.6501, + "step": 7633 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.604, + "step": 7634 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.5025, + "step": 7635 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.6018, + "step": 7636 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.5037, + "step": 7637 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.5164, + "step": 7638 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.5294, + "step": 7639 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.6573, + "step": 7640 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.4509, + "step": 7641 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.5594, + "step": 7642 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.6449, + "step": 7643 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.6013, + "step": 7644 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.5278, + "step": 7645 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.6925, + "step": 7646 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.702, + "step": 7647 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.5602, + "step": 7648 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.5409, + "step": 7649 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.7911, + "step": 7650 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.5973, + "step": 7651 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.4628, + "step": 7652 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.6483, + "step": 7653 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.6385, + "step": 7654 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.4837, + "step": 7655 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.5879, + "step": 7656 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.5912, + "step": 7657 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.5314, + "step": 7658 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.6287, + "step": 7659 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.5916, + "step": 7660 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.6349, + "step": 7661 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.4066, + "step": 7662 + }, + { + "epoch": 1.93, + "learning_rate": 0.0002, + "loss": 0.6358, + "step": 7663 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.5429, + "step": 7664 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.7697, + "step": 7665 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.6068, + "step": 7666 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.6868, + "step": 7667 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.6984, + "step": 7668 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.7512, + "step": 7669 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.6921, + "step": 7670 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.6268, + "step": 7671 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.4434, + "step": 7672 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.6079, + "step": 7673 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.7349, + "step": 7674 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.6304, + "step": 7675 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.6488, + "step": 7676 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.5361, + "step": 7677 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.7522, + "step": 7678 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.5953, + "step": 7679 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.4819, + "step": 7680 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.6194, + "step": 7681 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.5057, + "step": 7682 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.7045, + "step": 7683 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.6352, + "step": 7684 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.6529, + "step": 7685 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.792, + "step": 7686 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.5821, + "step": 7687 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.6324, + "step": 7688 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.6143, + "step": 7689 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.6515, + "step": 7690 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.4967, + "step": 7691 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.5331, + "step": 7692 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.5937, + "step": 7693 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.6086, + "step": 7694 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.5646, + "step": 7695 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.4395, + "step": 7696 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.5577, + "step": 7697 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.5501, + "step": 7698 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.4824, + "step": 7699 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.4697, + "step": 7700 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.5998, + "step": 7701 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.6155, + "step": 7702 + }, + { + "epoch": 1.94, + "learning_rate": 0.0002, + "loss": 0.7175, + "step": 7703 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.6913, + "step": 7704 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.7099, + "step": 7705 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.5812, + "step": 7706 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.5852, + "step": 7707 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.7381, + "step": 7708 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.5026, + "step": 7709 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.5242, + "step": 7710 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.6451, + "step": 7711 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.5521, + "step": 7712 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.5276, + "step": 7713 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.5667, + "step": 7714 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.8221, + "step": 7715 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.5554, + "step": 7716 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.4785, + "step": 7717 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.4803, + "step": 7718 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.6516, + "step": 7719 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.6336, + "step": 7720 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.5856, + "step": 7721 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.6931, + "step": 7722 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.6656, + "step": 7723 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.6555, + "step": 7724 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.6161, + "step": 7725 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.5464, + "step": 7726 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.5446, + "step": 7727 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.5921, + "step": 7728 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.5775, + "step": 7729 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.6928, + "step": 7730 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.5807, + "step": 7731 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.61, + "step": 7732 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.5721, + "step": 7733 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.4664, + "step": 7734 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.5704, + "step": 7735 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.6876, + "step": 7736 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.5122, + "step": 7737 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.5461, + "step": 7738 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.5171, + "step": 7739 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.6264, + "step": 7740 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.7122, + "step": 7741 + }, + { + "epoch": 1.95, + "learning_rate": 0.0002, + "loss": 0.6255, + "step": 7742 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.7009, + "step": 7743 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.5426, + "step": 7744 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.5407, + "step": 7745 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.5643, + "step": 7746 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.4972, + "step": 7747 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.7272, + "step": 7748 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.6164, + "step": 7749 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.6367, + "step": 7750 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.5529, + "step": 7751 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.5403, + "step": 7752 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.4621, + "step": 7753 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.5636, + "step": 7754 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.49, + "step": 7755 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.5211, + "step": 7756 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.6681, + "step": 7757 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.5781, + "step": 7758 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.4366, + "step": 7759 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.592, + "step": 7760 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.6806, + "step": 7761 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.5418, + "step": 7762 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.7647, + "step": 7763 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.5473, + "step": 7764 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.482, + "step": 7765 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.6059, + "step": 7766 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.4911, + "step": 7767 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.8569, + "step": 7768 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.5029, + "step": 7769 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.5783, + "step": 7770 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.637, + "step": 7771 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.6892, + "step": 7772 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.6338, + "step": 7773 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.5441, + "step": 7774 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.5791, + "step": 7775 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.6638, + "step": 7776 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.4868, + "step": 7777 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.7346, + "step": 7778 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.6577, + "step": 7779 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.5444, + "step": 7780 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.6396, + "step": 7781 + }, + { + "epoch": 1.96, + "learning_rate": 0.0002, + "loss": 0.6633, + "step": 7782 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.5732, + "step": 7783 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.5912, + "step": 7784 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.6631, + "step": 7785 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.6625, + "step": 7786 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.4952, + "step": 7787 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.5511, + "step": 7788 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.6367, + "step": 7789 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.4084, + "step": 7790 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.6605, + "step": 7791 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.6637, + "step": 7792 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.6324, + "step": 7793 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.6465, + "step": 7794 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.5483, + "step": 7795 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.7452, + "step": 7796 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.6693, + "step": 7797 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.6526, + "step": 7798 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.7055, + "step": 7799 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.4941, + "step": 7800 + }, + { + "epoch": 1.97, + "eval_loss": 0.6812639236450195, + "eval_runtime": 95.1925, + "eval_samples_per_second": 10.505, + "eval_steps_per_second": 5.253, + "step": 7800 + }, + { + "epoch": 1.97, + "mmlu_eval_accuracy": 0.5541692735898893, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.35714285714285715, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.7272727272727273, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, + "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, + "mmlu_eval_accuracy_college_medicine": 0.45454545454545453, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.45454545454545453, + "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, + "mmlu_eval_accuracy_econometrics": 0.3333333333333333, + "mmlu_eval_accuracy_electrical_engineering": 0.4375, + "mmlu_eval_accuracy_elementary_mathematics": 0.4634146341463415, + "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.59375, + "mmlu_eval_accuracy_high_school_chemistry": 0.45454545454545453, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.8095238095238095, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, + "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, + "mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, + "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": 0.6363636363636364, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, + "mmlu_eval_accuracy_moral_disputes": 0.631578947368421, + "mmlu_eval_accuracy_moral_scenarios": 0.35, + "mmlu_eval_accuracy_nutrition": 0.5454545454545454, + "mmlu_eval_accuracy_philosophy": 0.6470588235294118, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, + "mmlu_eval_accuracy_professional_law": 0.38235294117647056, + "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, + "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.6818181818181818, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.6842105263157895, + "mmlu_loss": 1.0814309411003757, + "step": 7800 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.5368, + "step": 7801 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.583, + "step": 7802 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.5333, + "step": 7803 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.6035, + "step": 7804 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.5785, + "step": 7805 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.5063, + "step": 7806 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.5866, + "step": 7807 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.5855, + "step": 7808 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.4987, + "step": 7809 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.4872, + "step": 7810 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.5063, + "step": 7811 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.7699, + "step": 7812 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.4171, + "step": 7813 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.6901, + "step": 7814 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.5918, + "step": 7815 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.5742, + "step": 7816 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.4906, + "step": 7817 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.5489, + "step": 7818 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.5537, + "step": 7819 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.67, + "step": 7820 + }, + { + "epoch": 1.97, + "learning_rate": 0.0002, + "loss": 0.6652, + "step": 7821 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.655, + "step": 7822 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.7268, + "step": 7823 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.5694, + "step": 7824 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.4406, + "step": 7825 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.5472, + "step": 7826 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.7368, + "step": 7827 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.6831, + "step": 7828 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.5609, + "step": 7829 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.5819, + "step": 7830 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.4774, + "step": 7831 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.4866, + "step": 7832 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.5432, + "step": 7833 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.6203, + "step": 7834 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.6205, + "step": 7835 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.5441, + "step": 7836 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.4486, + "step": 7837 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.4671, + "step": 7838 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.4586, + "step": 7839 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.5134, + "step": 7840 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.5012, + "step": 7841 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.73, + "step": 7842 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.7079, + "step": 7843 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.628, + "step": 7844 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.6878, + "step": 7845 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.6, + "step": 7846 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.693, + "step": 7847 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.6243, + "step": 7848 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.491, + "step": 7849 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.4605, + "step": 7850 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.6067, + "step": 7851 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.5188, + "step": 7852 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.5937, + "step": 7853 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.6999, + "step": 7854 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.4711, + "step": 7855 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.4219, + "step": 7856 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.6407, + "step": 7857 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.5539, + "step": 7858 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.5766, + "step": 7859 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.6017, + "step": 7860 + }, + { + "epoch": 1.98, + "learning_rate": 0.0002, + "loss": 0.5817, + "step": 7861 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.513, + "step": 7862 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.544, + "step": 7863 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.4907, + "step": 7864 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.3878, + "step": 7865 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.6189, + "step": 7866 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.6153, + "step": 7867 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.6687, + "step": 7868 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.7832, + "step": 7869 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.4815, + "step": 7870 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.6239, + "step": 7871 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.5477, + "step": 7872 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.6198, + "step": 7873 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.5466, + "step": 7874 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.5189, + "step": 7875 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.584, + "step": 7876 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.5869, + "step": 7877 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.5195, + "step": 7878 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.7188, + "step": 7879 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.7094, + "step": 7880 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.604, + "step": 7881 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.322, + "step": 7882 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.6848, + "step": 7883 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.488, + "step": 7884 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.5794, + "step": 7885 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.7113, + "step": 7886 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.5278, + "step": 7887 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.7204, + "step": 7888 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.5256, + "step": 7889 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.5328, + "step": 7890 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.6435, + "step": 7891 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.6345, + "step": 7892 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.838, + "step": 7893 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.5857, + "step": 7894 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.6292, + "step": 7895 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.5723, + "step": 7896 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.63, + "step": 7897 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.624, + "step": 7898 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.6533, + "step": 7899 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.6372, + "step": 7900 + }, + { + "epoch": 1.99, + "learning_rate": 0.0002, + "loss": 0.5722, + "step": 7901 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.595, + "step": 7902 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.5818, + "step": 7903 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.4039, + "step": 7904 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.653, + "step": 7905 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.426, + "step": 7906 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.5997, + "step": 7907 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.5082, + "step": 7908 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.5471, + "step": 7909 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.4497, + "step": 7910 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.5478, + "step": 7911 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.915, + "step": 7912 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.6747, + "step": 7913 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.5646, + "step": 7914 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.7822, + "step": 7915 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.6676, + "step": 7916 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.4967, + "step": 7917 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.4371, + "step": 7918 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.5252, + "step": 7919 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.5087, + "step": 7920 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.5819, + "step": 7921 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.468, + "step": 7922 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.4785, + "step": 7923 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.509, + "step": 7924 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.5265, + "step": 7925 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.4642, + "step": 7926 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.4554, + "step": 7927 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.52, + "step": 7928 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.449, + "step": 7929 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.4026, + "step": 7930 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.44, + "step": 7931 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.3896, + "step": 7932 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.3084, + "step": 7933 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.4399, + "step": 7934 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.4723, + "step": 7935 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.4341, + "step": 7936 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.4357, + "step": 7937 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.4221, + "step": 7938 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.3689, + "step": 7939 + }, + { + "epoch": 2.0, + "learning_rate": 0.0002, + "loss": 0.3328, + "step": 7940 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.6449, + "step": 7941 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.4158, + "step": 7942 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.5709, + "step": 7943 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.4137, + "step": 7944 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.5918, + "step": 7945 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.4697, + "step": 7946 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.4464, + "step": 7947 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.4371, + "step": 7948 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.4046, + "step": 7949 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.3708, + "step": 7950 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.4615, + "step": 7951 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.4566, + "step": 7952 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.4691, + "step": 7953 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.3628, + "step": 7954 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.4262, + "step": 7955 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.4809, + "step": 7956 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.4479, + "step": 7957 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.4432, + "step": 7958 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.4078, + "step": 7959 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.5667, + "step": 7960 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.3952, + "step": 7961 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.3551, + "step": 7962 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.3, + "step": 7963 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.347, + "step": 7964 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.4382, + "step": 7965 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.4292, + "step": 7966 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.536, + "step": 7967 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.3977, + "step": 7968 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.5476, + "step": 7969 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.4438, + "step": 7970 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.5181, + "step": 7971 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.4626, + "step": 7972 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.3662, + "step": 7973 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.3888, + "step": 7974 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.3636, + "step": 7975 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.3827, + "step": 7976 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.4314, + "step": 7977 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.5956, + "step": 7978 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.4936, + "step": 7979 + }, + { + "epoch": 2.01, + "learning_rate": 0.0002, + "loss": 0.3439, + "step": 7980 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.3692, + "step": 7981 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.496, + "step": 7982 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.4101, + "step": 7983 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.3919, + "step": 7984 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.3863, + "step": 7985 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.4915, + "step": 7986 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.3623, + "step": 7987 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.3955, + "step": 7988 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.3483, + "step": 7989 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.3584, + "step": 7990 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.4401, + "step": 7991 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.3881, + "step": 7992 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.4089, + "step": 7993 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.4099, + "step": 7994 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.3932, + "step": 7995 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.3694, + "step": 7996 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.3741, + "step": 7997 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.4755, + "step": 7998 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.3655, + "step": 7999 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.493, + "step": 8000 + }, + { + "epoch": 2.02, + "eval_loss": 0.7295029163360596, + "eval_runtime": 95.1847, + "eval_samples_per_second": 10.506, + "eval_steps_per_second": 5.253, + "step": 8000 + }, + { + "epoch": 2.02, + "mmlu_eval_accuracy": 0.5626108669662028, + "mmlu_eval_accuracy_abstract_algebra": 0.09090909090909091, + "mmlu_eval_accuracy_anatomy": 0.35714285714285715, + "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": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, + "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": 0.45454545454545453, + "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615, + "mmlu_eval_accuracy_econometrics": 0.3333333333333333, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.42857142857142855, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.59375, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.8095238095238095, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, + "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.9, + "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": 0.6956521739130435, + "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": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395, + "mmlu_eval_accuracy_moral_disputes": 0.631578947368421, + "mmlu_eval_accuracy_moral_scenarios": 0.39, + "mmlu_eval_accuracy_nutrition": 0.6363636363636364, + "mmlu_eval_accuracy_philosophy": 0.7352941176470589, + "mmlu_eval_accuracy_prehistory": 0.4857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, + "mmlu_eval_accuracy_professional_law": 0.38823529411764707, + "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, + "mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, + "mmlu_eval_accuracy_public_relations": 0.6666666666666666, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "mmlu_eval_accuracy_sociology": 0.7727272727272727, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 0.9786931264552218, + "step": 8000 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.3833, + "step": 8001 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.3549, + "step": 8002 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.5105, + "step": 8003 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.4621, + "step": 8004 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.4472, + "step": 8005 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.4374, + "step": 8006 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.4653, + "step": 8007 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.4158, + "step": 8008 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.4066, + "step": 8009 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.3738, + "step": 8010 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.4864, + "step": 8011 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.3702, + "step": 8012 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.3916, + "step": 8013 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.4693, + "step": 8014 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.2976, + "step": 8015 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.3124, + "step": 8016 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.5802, + "step": 8017 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.5488, + "step": 8018 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.4576, + "step": 8019 + }, + { + "epoch": 2.02, + "learning_rate": 0.0002, + "loss": 0.5069, + "step": 8020 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.3954, + "step": 8021 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.3708, + "step": 8022 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.5805, + "step": 8023 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.3901, + "step": 8024 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.308, + "step": 8025 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.4397, + "step": 8026 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.4289, + "step": 8027 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.4002, + "step": 8028 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.3994, + "step": 8029 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.4556, + "step": 8030 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.2713, + "step": 8031 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.4201, + "step": 8032 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.5474, + "step": 8033 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.4614, + "step": 8034 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.5117, + "step": 8035 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.4534, + "step": 8036 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.4015, + "step": 8037 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.3238, + "step": 8038 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.3377, + "step": 8039 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.4001, + "step": 8040 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.3754, + "step": 8041 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.4465, + "step": 8042 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.3014, + "step": 8043 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.4753, + "step": 8044 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.472, + "step": 8045 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.4293, + "step": 8046 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.4317, + "step": 8047 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.448, + "step": 8048 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.447, + "step": 8049 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.3259, + "step": 8050 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.523, + "step": 8051 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.3229, + "step": 8052 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.3611, + "step": 8053 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.3683, + "step": 8054 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.4278, + "step": 8055 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.3309, + "step": 8056 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.357, + "step": 8057 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.427, + "step": 8058 + }, + { + "epoch": 2.03, + "learning_rate": 0.0002, + "loss": 0.4814, + "step": 8059 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4315, + "step": 8060 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.3759, + "step": 8061 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.3531, + "step": 8062 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.5145, + "step": 8063 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.5276, + "step": 8064 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.3837, + "step": 8065 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.5935, + "step": 8066 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4728, + "step": 8067 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4532, + "step": 8068 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4444, + "step": 8069 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4445, + "step": 8070 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4106, + "step": 8071 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4529, + "step": 8072 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.3343, + "step": 8073 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.3665, + "step": 8074 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.3243, + "step": 8075 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.3614, + "step": 8076 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4755, + "step": 8077 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4598, + "step": 8078 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.5142, + "step": 8079 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4789, + "step": 8080 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.5204, + "step": 8081 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4422, + "step": 8082 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4305, + "step": 8083 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4112, + "step": 8084 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.3954, + "step": 8085 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.5424, + "step": 8086 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.3482, + "step": 8087 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.3769, + "step": 8088 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4622, + "step": 8089 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.3748, + "step": 8090 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4077, + "step": 8091 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4697, + "step": 8092 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4125, + "step": 8093 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4503, + "step": 8094 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4885, + "step": 8095 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4144, + "step": 8096 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.5671, + "step": 8097 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4283, + "step": 8098 + }, + { + "epoch": 2.04, + "learning_rate": 0.0002, + "loss": 0.4528, + "step": 8099 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.3653, + "step": 8100 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4385, + "step": 8101 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4708, + "step": 8102 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.3318, + "step": 8103 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4264, + "step": 8104 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4144, + "step": 8105 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4263, + "step": 8106 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4025, + "step": 8107 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4733, + "step": 8108 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4303, + "step": 8109 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.5042, + "step": 8110 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4156, + "step": 8111 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.5101, + "step": 8112 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4316, + "step": 8113 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.3387, + "step": 8114 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.3596, + "step": 8115 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.374, + "step": 8116 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4704, + "step": 8117 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.3748, + "step": 8118 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4442, + "step": 8119 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.5206, + "step": 8120 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.3072, + "step": 8121 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.3599, + "step": 8122 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4998, + "step": 8123 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.3893, + "step": 8124 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.5091, + "step": 8125 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.352, + "step": 8126 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4999, + "step": 8127 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.5483, + "step": 8128 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4161, + "step": 8129 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4326, + "step": 8130 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4935, + "step": 8131 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4161, + "step": 8132 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4511, + "step": 8133 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4288, + "step": 8134 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.362, + "step": 8135 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4226, + "step": 8136 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4504, + "step": 8137 + }, + { + "epoch": 2.05, + "learning_rate": 0.0002, + "loss": 0.4104, + "step": 8138 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.3977, + "step": 8139 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.3551, + "step": 8140 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.3635, + "step": 8141 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.4005, + "step": 8142 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.5648, + "step": 8143 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.4742, + "step": 8144 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.4202, + "step": 8145 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.3281, + "step": 8146 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.3617, + "step": 8147 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.4877, + "step": 8148 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.3926, + "step": 8149 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.3531, + "step": 8150 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.4351, + "step": 8151 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.3666, + "step": 8152 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.3783, + "step": 8153 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.5139, + "step": 8154 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.4151, + "step": 8155 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.2415, + "step": 8156 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.3835, + "step": 8157 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.3934, + "step": 8158 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.5245, + "step": 8159 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.3458, + "step": 8160 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.3304, + "step": 8161 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.3505, + "step": 8162 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.478, + "step": 8163 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.5284, + "step": 8164 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.4673, + "step": 8165 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.5269, + "step": 8166 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.4209, + "step": 8167 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.448, + "step": 8168 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.4253, + "step": 8169 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.4028, + "step": 8170 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.6481, + "step": 8171 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.3845, + "step": 8172 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.4307, + "step": 8173 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.3681, + "step": 8174 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.4171, + "step": 8175 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.3034, + "step": 8176 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.3202, + "step": 8177 + }, + { + "epoch": 2.06, + "learning_rate": 0.0002, + "loss": 0.4849, + "step": 8178 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.4717, + "step": 8179 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.4677, + "step": 8180 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.7501, + "step": 8181 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.4072, + "step": 8182 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.3732, + "step": 8183 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.3904, + "step": 8184 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.4727, + "step": 8185 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.4225, + "step": 8186 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.4675, + "step": 8187 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.3971, + "step": 8188 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.5353, + "step": 8189 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.3375, + "step": 8190 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.4561, + "step": 8191 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.3564, + "step": 8192 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.3082, + "step": 8193 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.4084, + "step": 8194 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.4624, + "step": 8195 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.3743, + "step": 8196 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.4541, + "step": 8197 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.5105, + "step": 8198 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.3885, + "step": 8199 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.3618, + "step": 8200 + }, + { + "epoch": 2.07, + "eval_loss": 0.7389823198318481, + "eval_runtime": 95.1979, + "eval_samples_per_second": 10.504, + "eval_steps_per_second": 5.252, + "step": 8200 + }, + { + "epoch": 2.07, + "mmlu_eval_accuracy": 0.5609875168317705, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.625, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, + "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, + "mmlu_eval_accuracy_college_physics": 0.5454545454545454, + "mmlu_eval_accuracy_computer_security": 0.45454545454545453, + "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, + "mmlu_eval_accuracy_econometrics": 0.5833333333333334, + "mmlu_eval_accuracy_electrical_engineering": 0.3125, + "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.35714285714285715, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.5625, + "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.8571428571428571, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, + "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069, + "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, + "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826, + "mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333, + "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, + "mmlu_eval_accuracy_human_aging": 0.6086956521739131, + "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, + "mmlu_eval_accuracy_international_law": 0.9230769230769231, + "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395, + "mmlu_eval_accuracy_moral_disputes": 0.631578947368421, + "mmlu_eval_accuracy_moral_scenarios": 0.45, + "mmlu_eval_accuracy_nutrition": 0.5757575757575758, + "mmlu_eval_accuracy_philosophy": 0.6764705882352942, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, + "mmlu_eval_accuracy_professional_law": 0.4, + "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, + "mmlu_eval_accuracy_professional_psychology": 0.5652173913043478, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.48148148148148145, + "mmlu_eval_accuracy_sociology": 0.6818181818181818, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.001413117199358, + "step": 8200 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.3812, + "step": 8201 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.4219, + "step": 8202 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.4108, + "step": 8203 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.4556, + "step": 8204 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.5264, + "step": 8205 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.3394, + "step": 8206 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.3786, + "step": 8207 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.411, + "step": 8208 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.3765, + "step": 8209 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.5327, + "step": 8210 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.3719, + "step": 8211 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.4905, + "step": 8212 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.304, + "step": 8213 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.3731, + "step": 8214 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.4683, + "step": 8215 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.5052, + "step": 8216 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.5098, + "step": 8217 + }, + { + "epoch": 2.07, + "learning_rate": 0.0002, + "loss": 0.5264, + "step": 8218 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.3631, + "step": 8219 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.5115, + "step": 8220 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.4119, + "step": 8221 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.3547, + "step": 8222 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.4173, + "step": 8223 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.4145, + "step": 8224 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.6191, + "step": 8225 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.4033, + "step": 8226 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.4887, + "step": 8227 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.4082, + "step": 8228 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.5016, + "step": 8229 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.4112, + "step": 8230 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.4642, + "step": 8231 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.422, + "step": 8232 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.4114, + "step": 8233 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.3924, + "step": 8234 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.5429, + "step": 8235 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.3392, + "step": 8236 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.4119, + "step": 8237 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.556, + "step": 8238 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.4164, + "step": 8239 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.4893, + "step": 8240 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.4212, + "step": 8241 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.5121, + "step": 8242 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.5215, + "step": 8243 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.4356, + "step": 8244 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.4024, + "step": 8245 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.3747, + "step": 8246 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.4699, + "step": 8247 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.4335, + "step": 8248 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.3878, + "step": 8249 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.3326, + "step": 8250 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.4417, + "step": 8251 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.3918, + "step": 8252 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.4013, + "step": 8253 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.407, + "step": 8254 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.4469, + "step": 8255 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.4893, + "step": 8256 + }, + { + "epoch": 2.08, + "learning_rate": 0.0002, + "loss": 0.3689, + "step": 8257 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.444, + "step": 8258 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.4086, + "step": 8259 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.3282, + "step": 8260 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.5132, + "step": 8261 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.3792, + "step": 8262 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.445, + "step": 8263 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.4221, + "step": 8264 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.4373, + "step": 8265 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.4843, + "step": 8266 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.4568, + "step": 8267 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.4832, + "step": 8268 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.439, + "step": 8269 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.4206, + "step": 8270 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.4452, + "step": 8271 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.4682, + "step": 8272 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.5246, + "step": 8273 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.2996, + "step": 8274 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.4394, + "step": 8275 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.4953, + "step": 8276 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.4334, + "step": 8277 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.4827, + "step": 8278 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.4368, + "step": 8279 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.3859, + "step": 8280 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.4365, + "step": 8281 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.4871, + "step": 8282 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.43, + "step": 8283 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.3832, + "step": 8284 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.4537, + "step": 8285 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.316, + "step": 8286 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.4932, + "step": 8287 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.4501, + "step": 8288 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.547, + "step": 8289 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.3687, + "step": 8290 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.399, + "step": 8291 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.5484, + "step": 8292 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.4128, + "step": 8293 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.486, + "step": 8294 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.4386, + "step": 8295 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.3573, + "step": 8296 + }, + { + "epoch": 2.09, + "learning_rate": 0.0002, + "loss": 0.5064, + "step": 8297 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.4093, + "step": 8298 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.4574, + "step": 8299 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.3792, + "step": 8300 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.4475, + "step": 8301 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.4772, + "step": 8302 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.4707, + "step": 8303 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.4836, + "step": 8304 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.5314, + "step": 8305 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.269, + "step": 8306 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.3076, + "step": 8307 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.5082, + "step": 8308 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.5062, + "step": 8309 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.5099, + "step": 8310 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.3092, + "step": 8311 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.3536, + "step": 8312 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.4939, + "step": 8313 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.5593, + "step": 8314 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.4858, + "step": 8315 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.4401, + "step": 8316 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.3978, + "step": 8317 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.309, + "step": 8318 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.3498, + "step": 8319 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.4928, + "step": 8320 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.5193, + "step": 8321 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.5578, + "step": 8322 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.3839, + "step": 8323 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.3845, + "step": 8324 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.4782, + "step": 8325 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.509, + "step": 8326 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.3845, + "step": 8327 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.3528, + "step": 8328 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.4292, + "step": 8329 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.3504, + "step": 8330 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.3706, + "step": 8331 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.4768, + "step": 8332 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.463, + "step": 8333 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.4164, + "step": 8334 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.4403, + "step": 8335 + }, + { + "epoch": 2.1, + "learning_rate": 0.0002, + "loss": 0.4125, + "step": 8336 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4357, + "step": 8337 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4573, + "step": 8338 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.353, + "step": 8339 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.3211, + "step": 8340 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.6042, + "step": 8341 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.3985, + "step": 8342 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4648, + "step": 8343 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4193, + "step": 8344 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4881, + "step": 8345 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4659, + "step": 8346 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.3549, + "step": 8347 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4024, + "step": 8348 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.3408, + "step": 8349 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4438, + "step": 8350 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.518, + "step": 8351 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4892, + "step": 8352 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4517, + "step": 8353 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4503, + "step": 8354 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4767, + "step": 8355 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.5015, + "step": 8356 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.3868, + "step": 8357 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.3504, + "step": 8358 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4861, + "step": 8359 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.3136, + "step": 8360 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4074, + "step": 8361 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.3869, + "step": 8362 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.3795, + "step": 8363 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4093, + "step": 8364 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4442, + "step": 8365 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4884, + "step": 8366 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4282, + "step": 8367 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.3729, + "step": 8368 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4464, + "step": 8369 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4101, + "step": 8370 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.3031, + "step": 8371 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.531, + "step": 8372 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4316, + "step": 8373 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.3919, + "step": 8374 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.4786, + "step": 8375 + }, + { + "epoch": 2.11, + "learning_rate": 0.0002, + "loss": 0.5123, + "step": 8376 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4385, + "step": 8377 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.5672, + "step": 8378 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4405, + "step": 8379 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4615, + "step": 8380 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.3911, + "step": 8381 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.3242, + "step": 8382 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4093, + "step": 8383 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4151, + "step": 8384 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4513, + "step": 8385 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.5105, + "step": 8386 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4398, + "step": 8387 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4671, + "step": 8388 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4263, + "step": 8389 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.5097, + "step": 8390 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.409, + "step": 8391 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4924, + "step": 8392 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.3745, + "step": 8393 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.5107, + "step": 8394 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.3764, + "step": 8395 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4881, + "step": 8396 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4649, + "step": 8397 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4988, + "step": 8398 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.3966, + "step": 8399 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.5724, + "step": 8400 + }, + { + "epoch": 2.12, + "eval_loss": 0.740311324596405, + "eval_runtime": 95.3075, + "eval_samples_per_second": 10.492, + "eval_steps_per_second": 5.246, + "step": 8400 + }, + { + "epoch": 2.12, + "mmlu_eval_accuracy": 0.5632085109989696, + "mmlu_eval_accuracy_abstract_algebra": 0.09090909090909091, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.36363636363636365, + "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": 0.5454545454545454, + "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, + "mmlu_eval_accuracy_college_physics": 0.6363636363636364, + "mmlu_eval_accuracy_computer_security": 0.45454545454545453, + "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, + "mmlu_eval_accuracy_econometrics": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.5, + "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.59375, + "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": 0.8636363636363636, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.8095238095238095, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, + "mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, + "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, + "mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364, + "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, + "mmlu_eval_accuracy_human_aging": 0.6086956521739131, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "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": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, + "mmlu_eval_accuracy_moral_disputes": 0.5, + "mmlu_eval_accuracy_moral_scenarios": 0.46, + "mmlu_eval_accuracy_nutrition": 0.6363636363636364, + "mmlu_eval_accuracy_philosophy": 0.6176470588235294, + "mmlu_eval_accuracy_prehistory": 0.5714285714285714, + "mmlu_eval_accuracy_professional_accounting": 0.3870967741935484, + "mmlu_eval_accuracy_professional_law": 0.3588235294117647, + "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, + "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.48148148148148145, + "mmlu_eval_accuracy_sociology": 0.7727272727272727, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.167496372734053, + "step": 8400 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.433, + "step": 8401 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4496, + "step": 8402 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.3969, + "step": 8403 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.5384, + "step": 8404 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4574, + "step": 8405 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4207, + "step": 8406 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.495, + "step": 8407 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.659, + "step": 8408 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4614, + "step": 8409 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4622, + "step": 8410 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.5125, + "step": 8411 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4521, + "step": 8412 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4591, + "step": 8413 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4733, + "step": 8414 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.3699, + "step": 8415 + }, + { + "epoch": 2.12, + "learning_rate": 0.0002, + "loss": 0.4952, + "step": 8416 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.4467, + "step": 8417 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.3875, + "step": 8418 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.6005, + "step": 8419 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.3828, + "step": 8420 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.3959, + "step": 8421 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.4254, + "step": 8422 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.4786, + "step": 8423 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.4206, + "step": 8424 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.3707, + "step": 8425 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.4383, + "step": 8426 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.5102, + "step": 8427 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.4197, + "step": 8428 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.3809, + "step": 8429 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.5265, + "step": 8430 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.4627, + "step": 8431 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.3686, + "step": 8432 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.3632, + "step": 8433 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.3591, + "step": 8434 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.3925, + "step": 8435 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.4413, + "step": 8436 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.3603, + "step": 8437 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.4825, + "step": 8438 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.4886, + "step": 8439 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.3274, + "step": 8440 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.3456, + "step": 8441 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.4918, + "step": 8442 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.4483, + "step": 8443 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.4058, + "step": 8444 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.3901, + "step": 8445 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.4145, + "step": 8446 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.4315, + "step": 8447 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.4413, + "step": 8448 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.4835, + "step": 8449 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.3802, + "step": 8450 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.4278, + "step": 8451 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.3687, + "step": 8452 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.5359, + "step": 8453 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.4003, + "step": 8454 + }, + { + "epoch": 2.13, + "learning_rate": 0.0002, + "loss": 0.3709, + "step": 8455 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.3857, + "step": 8456 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.4017, + "step": 8457 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.4363, + "step": 8458 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.4895, + "step": 8459 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.5002, + "step": 8460 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.4016, + "step": 8461 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.3848, + "step": 8462 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.5825, + "step": 8463 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.5401, + "step": 8464 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.3595, + "step": 8465 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.4659, + "step": 8466 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.3947, + "step": 8467 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.4702, + "step": 8468 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.4001, + "step": 8469 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.4348, + "step": 8470 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.4615, + "step": 8471 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.3819, + "step": 8472 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.4234, + "step": 8473 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.3467, + "step": 8474 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.3744, + "step": 8475 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.398, + "step": 8476 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.4173, + "step": 8477 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.4207, + "step": 8478 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.5173, + "step": 8479 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.3896, + "step": 8480 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.4126, + "step": 8481 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.4672, + "step": 8482 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.3538, + "step": 8483 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.4529, + "step": 8484 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.3043, + "step": 8485 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.3503, + "step": 8486 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.3408, + "step": 8487 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.3157, + "step": 8488 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.4369, + "step": 8489 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.5151, + "step": 8490 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.3715, + "step": 8491 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.4119, + "step": 8492 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.3688, + "step": 8493 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.3281, + "step": 8494 + }, + { + "epoch": 2.14, + "learning_rate": 0.0002, + "loss": 0.5525, + "step": 8495 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.3025, + "step": 8496 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.5379, + "step": 8497 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.4246, + "step": 8498 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.3879, + "step": 8499 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.3531, + "step": 8500 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.4555, + "step": 8501 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.472, + "step": 8502 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.3639, + "step": 8503 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.5206, + "step": 8504 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.4653, + "step": 8505 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.4388, + "step": 8506 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.3875, + "step": 8507 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.4978, + "step": 8508 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.4663, + "step": 8509 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.3089, + "step": 8510 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.4674, + "step": 8511 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.5449, + "step": 8512 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.3919, + "step": 8513 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.4482, + "step": 8514 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.3787, + "step": 8515 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.3536, + "step": 8516 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.5023, + "step": 8517 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.4642, + "step": 8518 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.4096, + "step": 8519 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.3821, + "step": 8520 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.3584, + "step": 8521 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.384, + "step": 8522 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.5791, + "step": 8523 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.4396, + "step": 8524 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.3933, + "step": 8525 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.4433, + "step": 8526 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.4233, + "step": 8527 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.3395, + "step": 8528 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.4846, + "step": 8529 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.4891, + "step": 8530 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.5774, + "step": 8531 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.4604, + "step": 8532 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.3719, + "step": 8533 + }, + { + "epoch": 2.15, + "learning_rate": 0.0002, + "loss": 0.4208, + "step": 8534 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.5843, + "step": 8535 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.4455, + "step": 8536 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.4356, + "step": 8537 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.5186, + "step": 8538 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.6495, + "step": 8539 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.3882, + "step": 8540 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.4071, + "step": 8541 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.4099, + "step": 8542 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.5262, + "step": 8543 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.4012, + "step": 8544 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.5015, + "step": 8545 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.5104, + "step": 8546 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.3559, + "step": 8547 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.3381, + "step": 8548 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.467, + "step": 8549 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.3799, + "step": 8550 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.3864, + "step": 8551 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.4394, + "step": 8552 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.5199, + "step": 8553 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.4708, + "step": 8554 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.4558, + "step": 8555 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.3433, + "step": 8556 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.4502, + "step": 8557 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.3533, + "step": 8558 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.3493, + "step": 8559 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.2497, + "step": 8560 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.5161, + "step": 8561 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.4719, + "step": 8562 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.3711, + "step": 8563 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.3257, + "step": 8564 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.481, + "step": 8565 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.3894, + "step": 8566 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.5026, + "step": 8567 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.6552, + "step": 8568 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.3699, + "step": 8569 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.4699, + "step": 8570 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.4517, + "step": 8571 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.461, + "step": 8572 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.3501, + "step": 8573 + }, + { + "epoch": 2.16, + "learning_rate": 0.0002, + "loss": 0.3891, + "step": 8574 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.4561, + "step": 8575 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.5881, + "step": 8576 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.5256, + "step": 8577 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.3839, + "step": 8578 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.4444, + "step": 8579 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.5213, + "step": 8580 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.4082, + "step": 8581 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.3998, + "step": 8582 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.5046, + "step": 8583 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.5005, + "step": 8584 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.2944, + "step": 8585 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.4148, + "step": 8586 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.4365, + "step": 8587 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.4245, + "step": 8588 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.5655, + "step": 8589 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.4649, + "step": 8590 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.4181, + "step": 8591 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.4631, + "step": 8592 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.3651, + "step": 8593 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.4351, + "step": 8594 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.3386, + "step": 8595 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.3199, + "step": 8596 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.5435, + "step": 8597 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.4208, + "step": 8598 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.4792, + "step": 8599 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.4392, + "step": 8600 + }, + { + "epoch": 2.17, + "eval_loss": 0.7328158020973206, + "eval_runtime": 95.3168, + "eval_samples_per_second": 10.491, + "eval_steps_per_second": 5.246, + "step": 8600 + }, + { + "epoch": 2.17, + "mmlu_eval_accuracy": 0.5534224579030763, + "mmlu_eval_accuracy_abstract_algebra": 0.09090909090909091, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.625, + "mmlu_eval_accuracy_business_ethics": 0.36363636363636365, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.6875, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, + "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": 0.5454545454545454, + "mmlu_eval_accuracy_conceptual_physics": 0.3076923076923077, + "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": 0.35714285714285715, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.59375, + "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": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.8095238095238095, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231, + "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": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, + "mmlu_eval_accuracy_human_aging": 0.6956521739130435, + "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": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.76, + "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": 0.42, + "mmlu_eval_accuracy_nutrition": 0.6363636363636364, + "mmlu_eval_accuracy_philosophy": 0.6764705882352942, + "mmlu_eval_accuracy_prehistory": 0.5714285714285714, + "mmlu_eval_accuracy_professional_accounting": 0.45161290322580644, + "mmlu_eval_accuracy_professional_law": 0.4117647058823529, + "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, + "mmlu_eval_accuracy_professional_psychology": 0.5362318840579711, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.4444444444444444, + "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": 0.7368421052631579, + "mmlu_loss": 1.2207844762846478, + "step": 8600 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.3243, + "step": 8601 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.4791, + "step": 8602 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.4702, + "step": 8603 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.4756, + "step": 8604 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.4744, + "step": 8605 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.5436, + "step": 8606 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.452, + "step": 8607 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.4296, + "step": 8608 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.3734, + "step": 8609 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.4491, + "step": 8610 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.5304, + "step": 8611 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.5501, + "step": 8612 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.318, + "step": 8613 + }, + { + "epoch": 2.17, + "learning_rate": 0.0002, + "loss": 0.5908, + "step": 8614 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.4531, + "step": 8615 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.4759, + "step": 8616 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.6074, + "step": 8617 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.568, + "step": 8618 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.523, + "step": 8619 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.3992, + "step": 8620 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.3938, + "step": 8621 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.4939, + "step": 8622 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.4423, + "step": 8623 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.4255, + "step": 8624 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.4218, + "step": 8625 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.4427, + "step": 8626 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.4497, + "step": 8627 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.4861, + "step": 8628 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.5273, + "step": 8629 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.5213, + "step": 8630 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.3875, + "step": 8631 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.4478, + "step": 8632 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.3326, + "step": 8633 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.5147, + "step": 8634 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.5566, + "step": 8635 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.4372, + "step": 8636 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.662, + "step": 8637 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.4422, + "step": 8638 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.4056, + "step": 8639 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.4344, + "step": 8640 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.4616, + "step": 8641 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.5081, + "step": 8642 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.4277, + "step": 8643 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.5248, + "step": 8644 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.5122, + "step": 8645 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.3459, + "step": 8646 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.4958, + "step": 8647 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.3853, + "step": 8648 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.4019, + "step": 8649 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.5597, + "step": 8650 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.3667, + "step": 8651 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.4779, + "step": 8652 + }, + { + "epoch": 2.18, + "learning_rate": 0.0002, + "loss": 0.4434, + "step": 8653 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.419, + "step": 8654 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.3566, + "step": 8655 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.4788, + "step": 8656 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.511, + "step": 8657 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.5226, + "step": 8658 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.3825, + "step": 8659 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.5115, + "step": 8660 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.3619, + "step": 8661 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.44, + "step": 8662 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.3994, + "step": 8663 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.5896, + "step": 8664 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.5088, + "step": 8665 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.4705, + "step": 8666 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.4938, + "step": 8667 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.3774, + "step": 8668 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.4221, + "step": 8669 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.4535, + "step": 8670 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.3513, + "step": 8671 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.406, + "step": 8672 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.6723, + "step": 8673 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.5798, + "step": 8674 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.3943, + "step": 8675 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.4821, + "step": 8676 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.5396, + "step": 8677 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.3369, + "step": 8678 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.4696, + "step": 8679 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.3844, + "step": 8680 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.4355, + "step": 8681 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.3776, + "step": 8682 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.5606, + "step": 8683 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.4081, + "step": 8684 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.4946, + "step": 8685 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.3594, + "step": 8686 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.5327, + "step": 8687 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.3865, + "step": 8688 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.3688, + "step": 8689 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.426, + "step": 8690 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.4279, + "step": 8691 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.5457, + "step": 8692 + }, + { + "epoch": 2.19, + "learning_rate": 0.0002, + "loss": 0.3883, + "step": 8693 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4029, + "step": 8694 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.511, + "step": 8695 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4776, + "step": 8696 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.5015, + "step": 8697 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4494, + "step": 8698 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.3639, + "step": 8699 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4009, + "step": 8700 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.3822, + "step": 8701 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4072, + "step": 8702 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4632, + "step": 8703 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.3604, + "step": 8704 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4064, + "step": 8705 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.5135, + "step": 8706 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.5701, + "step": 8707 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4112, + "step": 8708 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4, + "step": 8709 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.347, + "step": 8710 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.5488, + "step": 8711 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4376, + "step": 8712 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.3562, + "step": 8713 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4709, + "step": 8714 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4583, + "step": 8715 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.374, + "step": 8716 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.465, + "step": 8717 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4803, + "step": 8718 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.325, + "step": 8719 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4456, + "step": 8720 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4416, + "step": 8721 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4651, + "step": 8722 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.385, + "step": 8723 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4604, + "step": 8724 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4597, + "step": 8725 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.493, + "step": 8726 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.3924, + "step": 8727 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4481, + "step": 8728 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4065, + "step": 8729 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4053, + "step": 8730 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.4035, + "step": 8731 + }, + { + "epoch": 2.2, + "learning_rate": 0.0002, + "loss": 0.3566, + "step": 8732 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4426, + "step": 8733 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.3911, + "step": 8734 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4554, + "step": 8735 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4971, + "step": 8736 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4953, + "step": 8737 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4636, + "step": 8738 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4453, + "step": 8739 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.3624, + "step": 8740 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4862, + "step": 8741 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.3617, + "step": 8742 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4214, + "step": 8743 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4274, + "step": 8744 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4878, + "step": 8745 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4758, + "step": 8746 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4503, + "step": 8747 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.5995, + "step": 8748 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.3616, + "step": 8749 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.3988, + "step": 8750 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4638, + "step": 8751 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.3709, + "step": 8752 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.3972, + "step": 8753 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4427, + "step": 8754 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4889, + "step": 8755 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.3806, + "step": 8756 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4406, + "step": 8757 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4739, + "step": 8758 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4554, + "step": 8759 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.5623, + "step": 8760 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.3738, + "step": 8761 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4084, + "step": 8762 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4743, + "step": 8763 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4321, + "step": 8764 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4204, + "step": 8765 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4095, + "step": 8766 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.5074, + "step": 8767 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.3906, + "step": 8768 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.4843, + "step": 8769 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.597, + "step": 8770 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.5465, + "step": 8771 + }, + { + "epoch": 2.21, + "learning_rate": 0.0002, + "loss": 0.5089, + "step": 8772 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.3861, + "step": 8773 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.4786, + "step": 8774 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.3791, + "step": 8775 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.4561, + "step": 8776 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.4661, + "step": 8777 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.444, + "step": 8778 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.5418, + "step": 8779 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.526, + "step": 8780 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.5207, + "step": 8781 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.4974, + "step": 8782 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.3657, + "step": 8783 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.475, + "step": 8784 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.4636, + "step": 8785 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.4938, + "step": 8786 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.5007, + "step": 8787 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.6205, + "step": 8788 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.4707, + "step": 8789 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.504, + "step": 8790 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.5127, + "step": 8791 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.4299, + "step": 8792 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.5412, + "step": 8793 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.4821, + "step": 8794 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.4568, + "step": 8795 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.3174, + "step": 8796 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.515, + "step": 8797 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.4598, + "step": 8798 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.5201, + "step": 8799 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.4282, + "step": 8800 + }, + { + "epoch": 2.22, + "eval_loss": 0.7287560105323792, + "eval_runtime": 95.141, + "eval_samples_per_second": 10.511, + "eval_steps_per_second": 5.255, + "step": 8800 + }, + { + "epoch": 2.22, + "mmlu_eval_accuracy": 0.5503414225470844, + "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, + "mmlu_eval_accuracy_anatomy": 0.6428571428571429, + "mmlu_eval_accuracy_astronomy": 0.625, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "mmlu_eval_accuracy_clinical_knowledge": 0.5172413793103449, + "mmlu_eval_accuracy_college_biology": 0.5, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, + "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": 0.34615384615384615, + "mmlu_eval_accuracy_econometrics": 0.25, + "mmlu_eval_accuracy_electrical_engineering": 0.5625, + "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.35714285714285715, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.5625, + "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.8571428571428571, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.4230769230769231, + "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826, + "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": 0.6521739130434783, + "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": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.7272727272727273, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7674418604651163, + "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, + "mmlu_eval_accuracy_moral_scenarios": 0.38, + "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_philosophy": 0.6176470588235294, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, + "mmlu_eval_accuracy_professional_law": 0.4, + "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, + "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.5185185185185185, + "mmlu_eval_accuracy_sociology": 0.7272727272727273, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.245303676271563, + "step": 8800 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.3343, + "step": 8801 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.413, + "step": 8802 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.4225, + "step": 8803 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.4575, + "step": 8804 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.4542, + "step": 8805 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.3861, + "step": 8806 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.5107, + "step": 8807 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.3216, + "step": 8808 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.5505, + "step": 8809 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.4039, + "step": 8810 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.3955, + "step": 8811 + }, + { + "epoch": 2.22, + "learning_rate": 0.0002, + "loss": 0.446, + "step": 8812 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.5864, + "step": 8813 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.4011, + "step": 8814 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.4164, + "step": 8815 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.4076, + "step": 8816 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.3337, + "step": 8817 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.5322, + "step": 8818 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.4737, + "step": 8819 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.5068, + "step": 8820 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.473, + "step": 8821 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.5433, + "step": 8822 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.5419, + "step": 8823 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.5149, + "step": 8824 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.5257, + "step": 8825 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.5146, + "step": 8826 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.6608, + "step": 8827 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.4517, + "step": 8828 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.3801, + "step": 8829 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.4029, + "step": 8830 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.4569, + "step": 8831 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.415, + "step": 8832 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.407, + "step": 8833 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.6325, + "step": 8834 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.4136, + "step": 8835 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.4264, + "step": 8836 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.4464, + "step": 8837 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.3693, + "step": 8838 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.5259, + "step": 8839 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.5769, + "step": 8840 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.416, + "step": 8841 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.3597, + "step": 8842 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.5521, + "step": 8843 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.4503, + "step": 8844 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.4509, + "step": 8845 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.4874, + "step": 8846 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.4219, + "step": 8847 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.4445, + "step": 8848 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.324, + "step": 8849 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.4251, + "step": 8850 + }, + { + "epoch": 2.23, + "learning_rate": 0.0002, + "loss": 0.3211, + "step": 8851 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.4555, + "step": 8852 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.4127, + "step": 8853 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.6087, + "step": 8854 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.6338, + "step": 8855 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.449, + "step": 8856 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.414, + "step": 8857 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.4468, + "step": 8858 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.4934, + "step": 8859 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.6297, + "step": 8860 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.4268, + "step": 8861 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.4028, + "step": 8862 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.4643, + "step": 8863 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.45, + "step": 8864 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.4721, + "step": 8865 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.4789, + "step": 8866 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.3361, + "step": 8867 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.5087, + "step": 8868 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.3382, + "step": 8869 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.5403, + "step": 8870 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.4147, + "step": 8871 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.5389, + "step": 8872 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.54, + "step": 8873 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.3999, + "step": 8874 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.5026, + "step": 8875 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.7157, + "step": 8876 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.5835, + "step": 8877 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.427, + "step": 8878 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.4171, + "step": 8879 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.4944, + "step": 8880 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.4262, + "step": 8881 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.4549, + "step": 8882 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.3413, + "step": 8883 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.4124, + "step": 8884 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.4102, + "step": 8885 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.4508, + "step": 8886 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.438, + "step": 8887 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.4409, + "step": 8888 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.5092, + "step": 8889 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.3713, + "step": 8890 + }, + { + "epoch": 2.24, + "learning_rate": 0.0002, + "loss": 0.3819, + "step": 8891 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.4738, + "step": 8892 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.5044, + "step": 8893 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.2814, + "step": 8894 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.3557, + "step": 8895 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.4191, + "step": 8896 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.3719, + "step": 8897 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.4297, + "step": 8898 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.3565, + "step": 8899 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.5229, + "step": 8900 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.4943, + "step": 8901 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.393, + "step": 8902 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.4347, + "step": 8903 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.4989, + "step": 8904 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.6093, + "step": 8905 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.4715, + "step": 8906 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.4181, + "step": 8907 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.4603, + "step": 8908 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.5115, + "step": 8909 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.4303, + "step": 8910 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.3976, + "step": 8911 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.424, + "step": 8912 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.4488, + "step": 8913 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.4108, + "step": 8914 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.3937, + "step": 8915 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.4408, + "step": 8916 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.5539, + "step": 8917 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.3794, + "step": 8918 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.4498, + "step": 8919 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.4307, + "step": 8920 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.4662, + "step": 8921 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.6601, + "step": 8922 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.3671, + "step": 8923 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.4362, + "step": 8924 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.3669, + "step": 8925 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.4625, + "step": 8926 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.3604, + "step": 8927 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.3567, + "step": 8928 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.5032, + "step": 8929 + }, + { + "epoch": 2.25, + "learning_rate": 0.0002, + "loss": 0.5187, + "step": 8930 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.485, + "step": 8931 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.4364, + "step": 8932 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.4029, + "step": 8933 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.3521, + "step": 8934 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.3389, + "step": 8935 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.3016, + "step": 8936 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.5487, + "step": 8937 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.4552, + "step": 8938 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.3688, + "step": 8939 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.521, + "step": 8940 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.3821, + "step": 8941 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.3958, + "step": 8942 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.4879, + "step": 8943 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.411, + "step": 8944 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.4043, + "step": 8945 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.4405, + "step": 8946 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.4048, + "step": 8947 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.3798, + "step": 8948 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.4678, + "step": 8949 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.5728, + "step": 8950 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.4123, + "step": 8951 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.3508, + "step": 8952 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.4046, + "step": 8953 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.4403, + "step": 8954 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.308, + "step": 8955 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.3914, + "step": 8956 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.4025, + "step": 8957 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.411, + "step": 8958 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.5731, + "step": 8959 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.4275, + "step": 8960 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.4316, + "step": 8961 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.4881, + "step": 8962 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.4955, + "step": 8963 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.4144, + "step": 8964 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.5038, + "step": 8965 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.5039, + "step": 8966 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.5177, + "step": 8967 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.4788, + "step": 8968 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.4891, + "step": 8969 + }, + { + "epoch": 2.26, + "learning_rate": 0.0002, + "loss": 0.4499, + "step": 8970 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.3951, + "step": 8971 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.3704, + "step": 8972 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.4357, + "step": 8973 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.348, + "step": 8974 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.4705, + "step": 8975 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.4044, + "step": 8976 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.4604, + "step": 8977 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.418, + "step": 8978 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.3477, + "step": 8979 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.4731, + "step": 8980 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.3743, + "step": 8981 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.4541, + "step": 8982 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.3972, + "step": 8983 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.3616, + "step": 8984 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.5733, + "step": 8985 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.4487, + "step": 8986 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.4304, + "step": 8987 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.4114, + "step": 8988 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.3884, + "step": 8989 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.4298, + "step": 8990 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.3658, + "step": 8991 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.4666, + "step": 8992 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.5064, + "step": 8993 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.3361, + "step": 8994 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.4395, + "step": 8995 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.3371, + "step": 8996 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.3768, + "step": 8997 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.5387, + "step": 8998 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.4015, + "step": 8999 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.4821, + "step": 9000 + }, + { + "epoch": 2.27, + "eval_loss": 0.7483730316162109, + "eval_runtime": 95.169, + "eval_samples_per_second": 10.508, + "eval_steps_per_second": 5.254, + "step": 9000 + }, + { + "epoch": 2.27, + "mmlu_eval_accuracy": 0.5440472855630876, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.35714285714285715, + "mmlu_eval_accuracy_astronomy": 0.625, + "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": 0.125, + "mmlu_eval_accuracy_college_computer_science": 0.6363636363636364, + "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": 0.36363636363636365, + "mmlu_eval_accuracy_conceptual_physics": 0.3076923076923077, + "mmlu_eval_accuracy_econometrics": 0.4166666666666667, + "mmlu_eval_accuracy_electrical_engineering": 0.5625, + "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.35714285714285715, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.4375, + "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": 0.8095238095238095, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, + "mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, + "mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464, + "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, + "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "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": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.8, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.39, + "mmlu_eval_accuracy_nutrition": 0.6060606060606061, + "mmlu_eval_accuracy_philosophy": 0.6470588235294118, + "mmlu_eval_accuracy_prehistory": 0.4857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.3870967741935484, + "mmlu_eval_accuracy_professional_law": 0.3764705882352941, + "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, + "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.48148148148148145, + "mmlu_eval_accuracy_sociology": 0.7272727272727273, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.6842105263157895, + "mmlu_loss": 1.0476759813492509, + "step": 9000 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.4026, + "step": 9001 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.4421, + "step": 9002 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.5906, + "step": 9003 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.5631, + "step": 9004 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.3407, + "step": 9005 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.4787, + "step": 9006 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.3746, + "step": 9007 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.5471, + "step": 9008 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.5378, + "step": 9009 + }, + { + "epoch": 2.27, + "learning_rate": 0.0002, + "loss": 0.4202, + "step": 9010 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.3432, + "step": 9011 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.4519, + "step": 9012 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.5264, + "step": 9013 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.4278, + "step": 9014 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.482, + "step": 9015 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.3875, + "step": 9016 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.5385, + "step": 9017 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.4683, + "step": 9018 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.5304, + "step": 9019 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.4751, + "step": 9020 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.4378, + "step": 9021 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.4819, + "step": 9022 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.3902, + "step": 9023 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.4064, + "step": 9024 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.41, + "step": 9025 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.389, + "step": 9026 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.5405, + "step": 9027 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.5668, + "step": 9028 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.5567, + "step": 9029 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.6211, + "step": 9030 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.4578, + "step": 9031 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.562, + "step": 9032 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.3615, + "step": 9033 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.3196, + "step": 9034 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.4299, + "step": 9035 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.3933, + "step": 9036 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.5919, + "step": 9037 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.4469, + "step": 9038 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.5861, + "step": 9039 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.4848, + "step": 9040 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.4137, + "step": 9041 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.5068, + "step": 9042 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.4106, + "step": 9043 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.4502, + "step": 9044 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.4485, + "step": 9045 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.3939, + "step": 9046 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.43, + "step": 9047 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.5732, + "step": 9048 + }, + { + "epoch": 2.28, + "learning_rate": 0.0002, + "loss": 0.4981, + "step": 9049 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.5318, + "step": 9050 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.3449, + "step": 9051 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.4508, + "step": 9052 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.4109, + "step": 9053 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.5236, + "step": 9054 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.3885, + "step": 9055 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.463, + "step": 9056 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.5324, + "step": 9057 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.6067, + "step": 9058 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.4469, + "step": 9059 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.4442, + "step": 9060 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.5219, + "step": 9061 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.4979, + "step": 9062 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.555, + "step": 9063 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.445, + "step": 9064 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.5248, + "step": 9065 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.4966, + "step": 9066 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.5171, + "step": 9067 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.5623, + "step": 9068 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.5189, + "step": 9069 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.5964, + "step": 9070 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.6218, + "step": 9071 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.5695, + "step": 9072 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.4192, + "step": 9073 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.5359, + "step": 9074 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.4178, + "step": 9075 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.401, + "step": 9076 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.4008, + "step": 9077 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.3855, + "step": 9078 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.4089, + "step": 9079 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.3552, + "step": 9080 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.3991, + "step": 9081 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.6182, + "step": 9082 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.4253, + "step": 9083 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.5256, + "step": 9084 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.4847, + "step": 9085 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.3832, + "step": 9086 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.3987, + "step": 9087 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.3866, + "step": 9088 + }, + { + "epoch": 2.29, + "learning_rate": 0.0002, + "loss": 0.376, + "step": 9089 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.5754, + "step": 9090 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.5465, + "step": 9091 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.3691, + "step": 9092 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.357, + "step": 9093 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.4983, + "step": 9094 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.4324, + "step": 9095 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.395, + "step": 9096 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.4533, + "step": 9097 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.5278, + "step": 9098 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.3599, + "step": 9099 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.4089, + "step": 9100 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.433, + "step": 9101 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.475, + "step": 9102 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.4752, + "step": 9103 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.4768, + "step": 9104 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.4897, + "step": 9105 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.5171, + "step": 9106 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.5053, + "step": 9107 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.3147, + "step": 9108 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.4713, + "step": 9109 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.3746, + "step": 9110 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.4833, + "step": 9111 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.4801, + "step": 9112 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.4313, + "step": 9113 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.4434, + "step": 9114 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.481, + "step": 9115 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.4282, + "step": 9116 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.4145, + "step": 9117 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.526, + "step": 9118 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.6075, + "step": 9119 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.3541, + "step": 9120 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.4294, + "step": 9121 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.4716, + "step": 9122 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.499, + "step": 9123 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.5392, + "step": 9124 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.4287, + "step": 9125 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.533, + "step": 9126 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.484, + "step": 9127 + }, + { + "epoch": 2.3, + "learning_rate": 0.0002, + "loss": 0.3716, + "step": 9128 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.5142, + "step": 9129 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.3851, + "step": 9130 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.4588, + "step": 9131 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.4265, + "step": 9132 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.4841, + "step": 9133 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.5417, + "step": 9134 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.5046, + "step": 9135 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.4584, + "step": 9136 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.3905, + "step": 9137 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.4534, + "step": 9138 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.4335, + "step": 9139 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.4387, + "step": 9140 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.3387, + "step": 9141 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.4069, + "step": 9142 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.3357, + "step": 9143 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.5283, + "step": 9144 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.4321, + "step": 9145 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.5006, + "step": 9146 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.5683, + "step": 9147 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.369, + "step": 9148 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.5058, + "step": 9149 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.5245, + "step": 9150 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.4705, + "step": 9151 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.5238, + "step": 9152 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.4661, + "step": 9153 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.4751, + "step": 9154 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.4272, + "step": 9155 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.4305, + "step": 9156 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.5362, + "step": 9157 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.42, + "step": 9158 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.3794, + "step": 9159 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.5263, + "step": 9160 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.3905, + "step": 9161 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.4226, + "step": 9162 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.5227, + "step": 9163 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.6565, + "step": 9164 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.3159, + "step": 9165 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.5799, + "step": 9166 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.4626, + "step": 9167 + }, + { + "epoch": 2.31, + "learning_rate": 0.0002, + "loss": 0.3757, + "step": 9168 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.4765, + "step": 9169 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.4126, + "step": 9170 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.3864, + "step": 9171 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.5066, + "step": 9172 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.4317, + "step": 9173 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.4162, + "step": 9174 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.5389, + "step": 9175 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.4213, + "step": 9176 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.4335, + "step": 9177 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.3956, + "step": 9178 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.5686, + "step": 9179 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.5866, + "step": 9180 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.4166, + "step": 9181 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.5078, + "step": 9182 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.5202, + "step": 9183 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.3687, + "step": 9184 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.4492, + "step": 9185 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.5329, + "step": 9186 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.4719, + "step": 9187 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.4556, + "step": 9188 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.3945, + "step": 9189 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.3869, + "step": 9190 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.4384, + "step": 9191 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.4023, + "step": 9192 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.5268, + "step": 9193 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.4299, + "step": 9194 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.2981, + "step": 9195 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.368, + "step": 9196 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.4194, + "step": 9197 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.5141, + "step": 9198 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.4677, + "step": 9199 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.3175, + "step": 9200 + }, + { + "epoch": 2.32, + "eval_loss": 0.7408919334411621, + "eval_runtime": 95.1474, + "eval_samples_per_second": 10.51, + "eval_steps_per_second": 5.255, + "step": 9200 + }, + { + "epoch": 2.32, + "mmlu_eval_accuracy": 0.5510721800322562, + "mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.625, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "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": 0.45454545454545453, + "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": 0.2692307692307692, + "mmlu_eval_accuracy_econometrics": 0.3333333333333333, + "mmlu_eval_accuracy_electrical_engineering": 0.4375, + "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.42857142857142855, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.5625, + "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": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.8095238095238095, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, + "mmlu_eval_accuracy_high_school_physics": 0.4117647058823529, + "mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667, + "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": 0.6956521739130435, + "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, + "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": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.76, + "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": 0.6060606060606061, + "mmlu_eval_accuracy_philosophy": 0.6176470588235294, + "mmlu_eval_accuracy_prehistory": 0.4857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.3870967741935484, + "mmlu_eval_accuracy_professional_law": 0.35294117647058826, + "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": 0.48148148148148145, + "mmlu_eval_accuracy_sociology": 0.7272727272727273, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.3888888888888889, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.1346547573551964, + "step": 9200 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.5027, + "step": 9201 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.4588, + "step": 9202 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.5028, + "step": 9203 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.5333, + "step": 9204 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.4226, + "step": 9205 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.369, + "step": 9206 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.4432, + "step": 9207 + }, + { + "epoch": 2.32, + "learning_rate": 0.0002, + "loss": 0.5198, + "step": 9208 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.4639, + "step": 9209 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.4912, + "step": 9210 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.4779, + "step": 9211 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.5101, + "step": 9212 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.5164, + "step": 9213 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.4341, + "step": 9214 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.6276, + "step": 9215 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.4565, + "step": 9216 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.4334, + "step": 9217 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.4524, + "step": 9218 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.3888, + "step": 9219 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.4997, + "step": 9220 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.3876, + "step": 9221 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.4578, + "step": 9222 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.4112, + "step": 9223 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.4434, + "step": 9224 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.4173, + "step": 9225 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.3995, + "step": 9226 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.4343, + "step": 9227 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.3795, + "step": 9228 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.5361, + "step": 9229 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.4888, + "step": 9230 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.5614, + "step": 9231 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.4265, + "step": 9232 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.4803, + "step": 9233 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.3658, + "step": 9234 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.449, + "step": 9235 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.4197, + "step": 9236 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.4392, + "step": 9237 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.3524, + "step": 9238 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.5626, + "step": 9239 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.3651, + "step": 9240 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.5549, + "step": 9241 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.4426, + "step": 9242 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.4523, + "step": 9243 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.3429, + "step": 9244 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.3855, + "step": 9245 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.4351, + "step": 9246 + }, + { + "epoch": 2.33, + "learning_rate": 0.0002, + "loss": 0.372, + "step": 9247 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.4359, + "step": 9248 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.5278, + "step": 9249 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.473, + "step": 9250 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.3648, + "step": 9251 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.4406, + "step": 9252 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.4672, + "step": 9253 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.4763, + "step": 9254 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.3864, + "step": 9255 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.4756, + "step": 9256 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.5065, + "step": 9257 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.5504, + "step": 9258 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.4807, + "step": 9259 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.5811, + "step": 9260 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.4077, + "step": 9261 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.4295, + "step": 9262 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.5644, + "step": 9263 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.417, + "step": 9264 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.4779, + "step": 9265 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.4323, + "step": 9266 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.459, + "step": 9267 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.3821, + "step": 9268 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.5768, + "step": 9269 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.5688, + "step": 9270 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.5183, + "step": 9271 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.5038, + "step": 9272 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.3521, + "step": 9273 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.5014, + "step": 9274 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.4429, + "step": 9275 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.4014, + "step": 9276 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.5287, + "step": 9277 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.3691, + "step": 9278 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.4252, + "step": 9279 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.2809, + "step": 9280 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.3926, + "step": 9281 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.4191, + "step": 9282 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.3901, + "step": 9283 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.4103, + "step": 9284 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.3501, + "step": 9285 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.4635, + "step": 9286 + }, + { + "epoch": 2.34, + "learning_rate": 0.0002, + "loss": 0.4429, + "step": 9287 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.5292, + "step": 9288 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.5408, + "step": 9289 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.4461, + "step": 9290 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.406, + "step": 9291 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.4036, + "step": 9292 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.3601, + "step": 9293 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.3832, + "step": 9294 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.442, + "step": 9295 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.3983, + "step": 9296 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.4085, + "step": 9297 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.3721, + "step": 9298 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.5111, + "step": 9299 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.494, + "step": 9300 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.4589, + "step": 9301 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.3067, + "step": 9302 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.5387, + "step": 9303 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.46, + "step": 9304 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.4816, + "step": 9305 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.5178, + "step": 9306 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.3244, + "step": 9307 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.6569, + "step": 9308 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.4859, + "step": 9309 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.5693, + "step": 9310 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.4062, + "step": 9311 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.4039, + "step": 9312 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.4483, + "step": 9313 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.5071, + "step": 9314 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.3198, + "step": 9315 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.449, + "step": 9316 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.4846, + "step": 9317 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.4804, + "step": 9318 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.4479, + "step": 9319 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.4841, + "step": 9320 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.3455, + "step": 9321 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.5414, + "step": 9322 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.3965, + "step": 9323 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.3356, + "step": 9324 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.4053, + "step": 9325 + }, + { + "epoch": 2.35, + "learning_rate": 0.0002, + "loss": 0.4419, + "step": 9326 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.4249, + "step": 9327 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.3505, + "step": 9328 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.4942, + "step": 9329 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.4646, + "step": 9330 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.52, + "step": 9331 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.5568, + "step": 9332 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.3493, + "step": 9333 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.527, + "step": 9334 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.5002, + "step": 9335 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.389, + "step": 9336 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.4924, + "step": 9337 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.3332, + "step": 9338 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.5683, + "step": 9339 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.5229, + "step": 9340 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.3913, + "step": 9341 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.5813, + "step": 9342 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.4105, + "step": 9343 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.5256, + "step": 9344 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.465, + "step": 9345 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.3762, + "step": 9346 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.4385, + "step": 9347 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.4304, + "step": 9348 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.4808, + "step": 9349 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.3715, + "step": 9350 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.5431, + "step": 9351 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.3563, + "step": 9352 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.4551, + "step": 9353 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.406, + "step": 9354 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.3823, + "step": 9355 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.4045, + "step": 9356 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.5062, + "step": 9357 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.3613, + "step": 9358 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.4994, + "step": 9359 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.5359, + "step": 9360 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.4609, + "step": 9361 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.3847, + "step": 9362 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.4576, + "step": 9363 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.5203, + "step": 9364 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.4139, + "step": 9365 + }, + { + "epoch": 2.36, + "learning_rate": 0.0002, + "loss": 0.4861, + "step": 9366 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.3863, + "step": 9367 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.5686, + "step": 9368 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.4565, + "step": 9369 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.6196, + "step": 9370 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.398, + "step": 9371 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.6118, + "step": 9372 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.3921, + "step": 9373 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.319, + "step": 9374 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.4157, + "step": 9375 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.3245, + "step": 9376 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.491, + "step": 9377 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.4375, + "step": 9378 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.4648, + "step": 9379 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.5035, + "step": 9380 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.5873, + "step": 9381 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.4213, + "step": 9382 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.3809, + "step": 9383 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.4865, + "step": 9384 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.4036, + "step": 9385 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.4886, + "step": 9386 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.5965, + "step": 9387 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.4539, + "step": 9388 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.4735, + "step": 9389 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.3999, + "step": 9390 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.5278, + "step": 9391 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.4572, + "step": 9392 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.3681, + "step": 9393 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.4061, + "step": 9394 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.4537, + "step": 9395 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.4457, + "step": 9396 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.5802, + "step": 9397 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.4671, + "step": 9398 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.3985, + "step": 9399 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.5119, + "step": 9400 + }, + { + "epoch": 2.37, + "eval_loss": 0.7502144575119019, + "eval_runtime": 95.0744, + "eval_samples_per_second": 10.518, + "eval_steps_per_second": 5.259, + "step": 9400 + }, + { + "epoch": 2.37, + "mmlu_eval_accuracy": 0.5560919091198686, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.75, + "mmlu_eval_accuracy_business_ethics": 0.45454545454545453, + "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": 0.5454545454545454, + "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, + "mmlu_eval_accuracy_college_medicine": 0.5, + "mmlu_eval_accuracy_college_physics": 0.5454545454545454, + "mmlu_eval_accuracy_computer_security": 0.7272727272727273, + "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464, + "mmlu_eval_accuracy_econometrics": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.4634146341463415, + "mmlu_eval_accuracy_formal_logic": 0.35714285714285715, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.65625, + "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": 0.8636363636363636, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.8571428571428571, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.8, + "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, + "mmlu_eval_accuracy_human_aging": 0.6521739130434783, + "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": 0.7222222222222222, + "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, + "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, + "mmlu_eval_accuracy_moral_scenarios": 0.3, + "mmlu_eval_accuracy_nutrition": 0.6363636363636364, + "mmlu_eval_accuracy_philosophy": 0.5294117647058824, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903, + "mmlu_eval_accuracy_professional_law": 0.36470588235294116, + "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": 0.5555555555555556, + "mmlu_eval_accuracy_sociology": 0.6363636363636364, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.3024123584749494, + "step": 9400 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.4746, + "step": 9401 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.4482, + "step": 9402 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.4692, + "step": 9403 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.4363, + "step": 9404 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.4553, + "step": 9405 + }, + { + "epoch": 2.37, + "learning_rate": 0.0002, + "loss": 0.3613, + "step": 9406 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.3859, + "step": 9407 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.5012, + "step": 9408 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.4049, + "step": 9409 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.3942, + "step": 9410 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.6119, + "step": 9411 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.5421, + "step": 9412 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.418, + "step": 9413 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.4291, + "step": 9414 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.4669, + "step": 9415 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.4019, + "step": 9416 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.5641, + "step": 9417 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.3797, + "step": 9418 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.4668, + "step": 9419 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.6101, + "step": 9420 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.4707, + "step": 9421 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.4313, + "step": 9422 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.4045, + "step": 9423 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.5292, + "step": 9424 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.5456, + "step": 9425 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.4374, + "step": 9426 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.3893, + "step": 9427 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.4482, + "step": 9428 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.5089, + "step": 9429 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.5151, + "step": 9430 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.5952, + "step": 9431 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.367, + "step": 9432 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.514, + "step": 9433 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.3993, + "step": 9434 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.4174, + "step": 9435 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.3993, + "step": 9436 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.527, + "step": 9437 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.4189, + "step": 9438 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.4615, + "step": 9439 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.4629, + "step": 9440 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.5021, + "step": 9441 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.4618, + "step": 9442 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.4908, + "step": 9443 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.4349, + "step": 9444 + }, + { + "epoch": 2.38, + "learning_rate": 0.0002, + "loss": 0.4571, + "step": 9445 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.5981, + "step": 9446 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.5687, + "step": 9447 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.44, + "step": 9448 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.3488, + "step": 9449 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.4301, + "step": 9450 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.597, + "step": 9451 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.4703, + "step": 9452 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.4138, + "step": 9453 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.3937, + "step": 9454 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.5308, + "step": 9455 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.512, + "step": 9456 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.5944, + "step": 9457 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.5711, + "step": 9458 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.6049, + "step": 9459 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.3784, + "step": 9460 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.3286, + "step": 9461 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.4698, + "step": 9462 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.5484, + "step": 9463 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.5071, + "step": 9464 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.5317, + "step": 9465 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.4326, + "step": 9466 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.4976, + "step": 9467 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.5756, + "step": 9468 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.3922, + "step": 9469 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.4275, + "step": 9470 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.3545, + "step": 9471 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.3596, + "step": 9472 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.5684, + "step": 9473 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.6275, + "step": 9474 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.496, + "step": 9475 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.5075, + "step": 9476 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.4762, + "step": 9477 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.4759, + "step": 9478 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.5391, + "step": 9479 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.3931, + "step": 9480 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.3858, + "step": 9481 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.3386, + "step": 9482 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.4033, + "step": 9483 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.3742, + "step": 9484 + }, + { + "epoch": 2.39, + "learning_rate": 0.0002, + "loss": 0.6078, + "step": 9485 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.4539, + "step": 9486 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.3401, + "step": 9487 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.4708, + "step": 9488 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.3579, + "step": 9489 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.4379, + "step": 9490 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.4822, + "step": 9491 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.513, + "step": 9492 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.3712, + "step": 9493 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.3607, + "step": 9494 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.4745, + "step": 9495 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.5195, + "step": 9496 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.4333, + "step": 9497 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.7214, + "step": 9498 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.424, + "step": 9499 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.3497, + "step": 9500 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.3544, + "step": 9501 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.4632, + "step": 9502 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.3837, + "step": 9503 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.5336, + "step": 9504 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.5281, + "step": 9505 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.4238, + "step": 9506 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.4528, + "step": 9507 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.4178, + "step": 9508 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.4324, + "step": 9509 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.4178, + "step": 9510 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.4537, + "step": 9511 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.4095, + "step": 9512 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.5618, + "step": 9513 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.3223, + "step": 9514 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.4532, + "step": 9515 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.5273, + "step": 9516 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.4129, + "step": 9517 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.4152, + "step": 9518 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.4152, + "step": 9519 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.5356, + "step": 9520 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.3261, + "step": 9521 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.4939, + "step": 9522 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.3932, + "step": 9523 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.4666, + "step": 9524 + }, + { + "epoch": 2.4, + "learning_rate": 0.0002, + "loss": 0.5085, + "step": 9525 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.3453, + "step": 9526 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.515, + "step": 9527 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.5428, + "step": 9528 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.4048, + "step": 9529 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.539, + "step": 9530 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.3497, + "step": 9531 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.4988, + "step": 9532 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.4711, + "step": 9533 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.4732, + "step": 9534 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.3937, + "step": 9535 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.4168, + "step": 9536 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.3256, + "step": 9537 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.4499, + "step": 9538 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.4212, + "step": 9539 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.4858, + "step": 9540 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.5375, + "step": 9541 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.4014, + "step": 9542 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.5252, + "step": 9543 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.498, + "step": 9544 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.3711, + "step": 9545 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.4368, + "step": 9546 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.5006, + "step": 9547 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.3242, + "step": 9548 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.5105, + "step": 9549 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.4801, + "step": 9550 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.3873, + "step": 9551 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.4417, + "step": 9552 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.4439, + "step": 9553 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.4636, + "step": 9554 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.4972, + "step": 9555 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.414, + "step": 9556 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.6427, + "step": 9557 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.4097, + "step": 9558 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.4278, + "step": 9559 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.4141, + "step": 9560 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.3852, + "step": 9561 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.4278, + "step": 9562 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.4499, + "step": 9563 + }, + { + "epoch": 2.41, + "learning_rate": 0.0002, + "loss": 0.3685, + "step": 9564 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.5503, + "step": 9565 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4094, + "step": 9566 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.6075, + "step": 9567 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.5873, + "step": 9568 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.3368, + "step": 9569 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4221, + "step": 9570 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4446, + "step": 9571 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.5276, + "step": 9572 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.3947, + "step": 9573 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4108, + "step": 9574 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4928, + "step": 9575 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4367, + "step": 9576 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4885, + "step": 9577 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.3742, + "step": 9578 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.5283, + "step": 9579 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.3397, + "step": 9580 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4947, + "step": 9581 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4045, + "step": 9582 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4306, + "step": 9583 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4668, + "step": 9584 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4327, + "step": 9585 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4654, + "step": 9586 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4047, + "step": 9587 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4745, + "step": 9588 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4428, + "step": 9589 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4997, + "step": 9590 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4894, + "step": 9591 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.5507, + "step": 9592 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4389, + "step": 9593 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4568, + "step": 9594 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.6567, + "step": 9595 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4473, + "step": 9596 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.3185, + "step": 9597 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4128, + "step": 9598 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4538, + "step": 9599 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4743, + "step": 9600 + }, + { + "epoch": 2.42, + "eval_loss": 0.7485695481300354, + "eval_runtime": 95.1677, + "eval_samples_per_second": 10.508, + "eval_steps_per_second": 5.254, + "step": 9600 + }, + { + "epoch": 2.42, + "mmlu_eval_accuracy": 0.538761900539884, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.75, + "mmlu_eval_accuracy_business_ethics": 0.36363636363636365, + "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": 0.45454545454545453, + "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": 0.3076923076923077, + "mmlu_eval_accuracy_econometrics": 0.3333333333333333, + "mmlu_eval_accuracy_electrical_engineering": 0.5, + "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.35714285714285715, + "mmlu_eval_accuracy_global_facts": 0.2, + "mmlu_eval_accuracy_high_school_biology": 0.53125, + "mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727, + "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, + "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": 0.8571428571428571, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, + "mmlu_eval_accuracy_high_school_physics": 0.058823529411764705, + "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, + "mmlu_eval_accuracy_human_aging": 0.6956521739130435, + "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, + "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": 0.36363636363636365, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.35, + "mmlu_eval_accuracy_nutrition": 0.6060606060606061, + "mmlu_eval_accuracy_philosophy": 0.5882352941176471, + "mmlu_eval_accuracy_prehistory": 0.45714285714285713, + "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, + "mmlu_eval_accuracy_professional_law": 0.3764705882352941, + "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, + "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.48148148148148145, + "mmlu_eval_accuracy_sociology": 0.7272727272727273, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.6842105263157895, + "mmlu_loss": 1.3455448309372984, + "step": 9600 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4252, + "step": 9601 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.5418, + "step": 9602 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.4652, + "step": 9603 + }, + { + "epoch": 2.42, + "learning_rate": 0.0002, + "loss": 0.3425, + "step": 9604 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.4487, + "step": 9605 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.4134, + "step": 9606 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.3957, + "step": 9607 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.4259, + "step": 9608 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.3956, + "step": 9609 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.6132, + "step": 9610 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.4686, + "step": 9611 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.4374, + "step": 9612 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.3708, + "step": 9613 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.3632, + "step": 9614 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.506, + "step": 9615 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.385, + "step": 9616 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.3281, + "step": 9617 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.5735, + "step": 9618 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.4269, + "step": 9619 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.4192, + "step": 9620 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.4811, + "step": 9621 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.3937, + "step": 9622 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.3953, + "step": 9623 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.4664, + "step": 9624 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.4344, + "step": 9625 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.3815, + "step": 9626 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.5475, + "step": 9627 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.5192, + "step": 9628 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.4425, + "step": 9629 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.3527, + "step": 9630 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.4156, + "step": 9631 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.4928, + "step": 9632 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.534, + "step": 9633 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.5159, + "step": 9634 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.5519, + "step": 9635 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.3827, + "step": 9636 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.5867, + "step": 9637 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.4853, + "step": 9638 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.4558, + "step": 9639 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.4719, + "step": 9640 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.4744, + "step": 9641 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.3609, + "step": 9642 + }, + { + "epoch": 2.43, + "learning_rate": 0.0002, + "loss": 0.5264, + "step": 9643 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.4371, + "step": 9644 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.4938, + "step": 9645 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.5014, + "step": 9646 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.48, + "step": 9647 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.3722, + "step": 9648 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.4114, + "step": 9649 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.575, + "step": 9650 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.4163, + "step": 9651 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.3996, + "step": 9652 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.3411, + "step": 9653 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.4276, + "step": 9654 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.4079, + "step": 9655 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.4874, + "step": 9656 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.3936, + "step": 9657 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.5033, + "step": 9658 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.4757, + "step": 9659 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.562, + "step": 9660 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.4304, + "step": 9661 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.3848, + "step": 9662 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.6037, + "step": 9663 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.4199, + "step": 9664 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.413, + "step": 9665 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.4143, + "step": 9666 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.4299, + "step": 9667 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.4002, + "step": 9668 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.5452, + "step": 9669 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.4836, + "step": 9670 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.4248, + "step": 9671 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.4099, + "step": 9672 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.472, + "step": 9673 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.3951, + "step": 9674 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.4213, + "step": 9675 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.3818, + "step": 9676 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.5007, + "step": 9677 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.4398, + "step": 9678 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.3601, + "step": 9679 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.3708, + "step": 9680 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.3741, + "step": 9681 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.3728, + "step": 9682 + }, + { + "epoch": 2.44, + "learning_rate": 0.0002, + "loss": 0.4845, + "step": 9683 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.4767, + "step": 9684 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.5126, + "step": 9685 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.5391, + "step": 9686 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.5758, + "step": 9687 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.4404, + "step": 9688 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.4722, + "step": 9689 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.3537, + "step": 9690 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.4604, + "step": 9691 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.4379, + "step": 9692 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.4854, + "step": 9693 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.4321, + "step": 9694 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.5973, + "step": 9695 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.4625, + "step": 9696 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.3605, + "step": 9697 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.4238, + "step": 9698 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.4373, + "step": 9699 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.3762, + "step": 9700 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.4472, + "step": 9701 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.428, + "step": 9702 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.5075, + "step": 9703 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.38, + "step": 9704 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.4174, + "step": 9705 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.3783, + "step": 9706 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.3771, + "step": 9707 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.4511, + "step": 9708 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.4526, + "step": 9709 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.5217, + "step": 9710 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.4696, + "step": 9711 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.3855, + "step": 9712 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.4083, + "step": 9713 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.4614, + "step": 9714 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.5297, + "step": 9715 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.6373, + "step": 9716 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.5964, + "step": 9717 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.4918, + "step": 9718 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.3625, + "step": 9719 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.5041, + "step": 9720 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.555, + "step": 9721 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.5077, + "step": 9722 + }, + { + "epoch": 2.45, + "learning_rate": 0.0002, + "loss": 0.5659, + "step": 9723 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.498, + "step": 9724 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.4652, + "step": 9725 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.5493, + "step": 9726 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.4222, + "step": 9727 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.3339, + "step": 9728 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.4856, + "step": 9729 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.4978, + "step": 9730 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.5352, + "step": 9731 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.4354, + "step": 9732 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.4481, + "step": 9733 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.4326, + "step": 9734 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.4146, + "step": 9735 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.57, + "step": 9736 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.4402, + "step": 9737 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.3747, + "step": 9738 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.4143, + "step": 9739 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.338, + "step": 9740 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.4436, + "step": 9741 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.4751, + "step": 9742 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.4639, + "step": 9743 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.3605, + "step": 9744 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.474, + "step": 9745 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.4989, + "step": 9746 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.5021, + "step": 9747 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.4424, + "step": 9748 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.5141, + "step": 9749 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.4613, + "step": 9750 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.3407, + "step": 9751 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.5535, + "step": 9752 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.457, + "step": 9753 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.6025, + "step": 9754 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.5364, + "step": 9755 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.474, + "step": 9756 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.4318, + "step": 9757 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.448, + "step": 9758 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.4034, + "step": 9759 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.4242, + "step": 9760 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.5162, + "step": 9761 + }, + { + "epoch": 2.46, + "learning_rate": 0.0002, + "loss": 0.4026, + "step": 9762 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.5228, + "step": 9763 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.3498, + "step": 9764 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.4677, + "step": 9765 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.4821, + "step": 9766 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.439, + "step": 9767 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.3172, + "step": 9768 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.4876, + "step": 9769 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.4901, + "step": 9770 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.4914, + "step": 9771 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.4476, + "step": 9772 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.4075, + "step": 9773 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.5064, + "step": 9774 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.392, + "step": 9775 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.5316, + "step": 9776 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.5509, + "step": 9777 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.453, + "step": 9778 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.4567, + "step": 9779 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.4094, + "step": 9780 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.4008, + "step": 9781 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.4538, + "step": 9782 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.3604, + "step": 9783 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.5059, + "step": 9784 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.3794, + "step": 9785 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.5368, + "step": 9786 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.4956, + "step": 9787 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.4498, + "step": 9788 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.4283, + "step": 9789 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.3024, + "step": 9790 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.4977, + "step": 9791 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.5504, + "step": 9792 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.5433, + "step": 9793 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.3984, + "step": 9794 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.5525, + "step": 9795 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.4803, + "step": 9796 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.5849, + "step": 9797 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.6172, + "step": 9798 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.5011, + "step": 9799 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.4957, + "step": 9800 + }, + { + "epoch": 2.47, + "eval_loss": 0.7298774123191833, + "eval_runtime": 95.1469, + "eval_samples_per_second": 10.51, + "eval_steps_per_second": 5.255, + "step": 9800 + }, + { + "epoch": 2.47, + "mmlu_eval_accuracy": 0.5474449206108138, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.75, + "mmlu_eval_accuracy_business_ethics": 0.7272727272727273, + "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, + "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, + "mmlu_eval_accuracy_college_medicine": 0.45454545454545453, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.45454545454545453, + "mmlu_eval_accuracy_conceptual_physics": 0.3076923076923077, + "mmlu_eval_accuracy_econometrics": 0.4166666666666667, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.4634146341463415, + "mmlu_eval_accuracy_formal_logic": 0.42857142857142855, + "mmlu_eval_accuracy_global_facts": 0.2, + "mmlu_eval_accuracy_high_school_biology": 0.65625, + "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, + "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": 0.8095238095238095, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, + "mmlu_eval_accuracy_high_school_physics": 0.058823529411764705, + "mmlu_eval_accuracy_high_school_psychology": 0.7833333333333333, + "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, + "mmlu_eval_accuracy_human_aging": 0.6521739130434783, + "mmlu_eval_accuracy_human_sexuality": 0.4166666666666667, + "mmlu_eval_accuracy_international_law": 0.9230769230769231, + "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.7222222222222222, + "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, + "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, + "mmlu_eval_accuracy_moral_scenarios": 0.29, + "mmlu_eval_accuracy_nutrition": 0.6060606060606061, + "mmlu_eval_accuracy_philosophy": 0.5294117647058824, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.3870967741935484, + "mmlu_eval_accuracy_professional_law": 0.3588235294117647, + "mmlu_eval_accuracy_professional_medicine": 0.5161290322580645, + "mmlu_eval_accuracy_professional_psychology": 0.5507246376811594, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.48148148148148145, + "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": 0.7368421052631579, + "mmlu_loss": 1.1628931240754945, + "step": 9800 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.4373, + "step": 9801 + }, + { + "epoch": 2.47, + "learning_rate": 0.0002, + "loss": 0.4009, + "step": 9802 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.5936, + "step": 9803 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.4256, + "step": 9804 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.4286, + "step": 9805 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.3402, + "step": 9806 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.4218, + "step": 9807 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.5072, + "step": 9808 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.5094, + "step": 9809 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.6214, + "step": 9810 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.4783, + "step": 9811 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.4506, + "step": 9812 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.487, + "step": 9813 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.4944, + "step": 9814 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.3572, + "step": 9815 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.4687, + "step": 9816 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.5023, + "step": 9817 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.3697, + "step": 9818 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.4155, + "step": 9819 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.5391, + "step": 9820 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.3996, + "step": 9821 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.6149, + "step": 9822 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.4767, + "step": 9823 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.5285, + "step": 9824 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.4149, + "step": 9825 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.4934, + "step": 9826 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.3791, + "step": 9827 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.3767, + "step": 9828 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.3531, + "step": 9829 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.4465, + "step": 9830 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.4597, + "step": 9831 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.5872, + "step": 9832 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.4584, + "step": 9833 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.5614, + "step": 9834 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.4542, + "step": 9835 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.4207, + "step": 9836 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.4675, + "step": 9837 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.3999, + "step": 9838 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.4181, + "step": 9839 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.4384, + "step": 9840 + }, + { + "epoch": 2.48, + "learning_rate": 0.0002, + "loss": 0.3045, + "step": 9841 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.5299, + "step": 9842 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.5358, + "step": 9843 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4236, + "step": 9844 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4226, + "step": 9845 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4789, + "step": 9846 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4527, + "step": 9847 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.5872, + "step": 9848 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4542, + "step": 9849 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4399, + "step": 9850 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4745, + "step": 9851 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.5943, + "step": 9852 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.457, + "step": 9853 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4152, + "step": 9854 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.467, + "step": 9855 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4183, + "step": 9856 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.454, + "step": 9857 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.5986, + "step": 9858 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.5019, + "step": 9859 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4449, + "step": 9860 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.5131, + "step": 9861 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.3974, + "step": 9862 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4781, + "step": 9863 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4913, + "step": 9864 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4853, + "step": 9865 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.5068, + "step": 9866 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4313, + "step": 9867 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4572, + "step": 9868 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4657, + "step": 9869 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4597, + "step": 9870 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.3922, + "step": 9871 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4487, + "step": 9872 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.5256, + "step": 9873 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.3915, + "step": 9874 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4039, + "step": 9875 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.5363, + "step": 9876 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4792, + "step": 9877 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4192, + "step": 9878 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.478, + "step": 9879 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.4556, + "step": 9880 + }, + { + "epoch": 2.49, + "learning_rate": 0.0002, + "loss": 0.5316, + "step": 9881 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.4798, + "step": 9882 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.4432, + "step": 9883 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.4932, + "step": 9884 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.4439, + "step": 9885 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.408, + "step": 9886 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.4472, + "step": 9887 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.5195, + "step": 9888 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.3706, + "step": 9889 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.3827, + "step": 9890 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.4214, + "step": 9891 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.3996, + "step": 9892 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.5329, + "step": 9893 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.6128, + "step": 9894 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.3294, + "step": 9895 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.4189, + "step": 9896 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.3861, + "step": 9897 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.4098, + "step": 9898 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.5125, + "step": 9899 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.4444, + "step": 9900 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.3433, + "step": 9901 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.4289, + "step": 9902 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.4665, + "step": 9903 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.6434, + "step": 9904 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.5219, + "step": 9905 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.5188, + "step": 9906 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.4527, + "step": 9907 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.5292, + "step": 9908 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.4307, + "step": 9909 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.3582, + "step": 9910 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.404, + "step": 9911 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.4498, + "step": 9912 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.4375, + "step": 9913 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.4346, + "step": 9914 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.4422, + "step": 9915 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.3674, + "step": 9916 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.4421, + "step": 9917 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.433, + "step": 9918 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.3709, + "step": 9919 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.5976, + "step": 9920 + }, + { + "epoch": 2.5, + "learning_rate": 0.0002, + "loss": 0.438, + "step": 9921 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.5285, + "step": 9922 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.5559, + "step": 9923 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.3696, + "step": 9924 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.6288, + "step": 9925 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.4241, + "step": 9926 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.4974, + "step": 9927 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.3969, + "step": 9928 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.4795, + "step": 9929 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.2988, + "step": 9930 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.5026, + "step": 9931 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.5762, + "step": 9932 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.4702, + "step": 9933 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.3754, + "step": 9934 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.4531, + "step": 9935 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.5102, + "step": 9936 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.5171, + "step": 9937 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.4141, + "step": 9938 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.4776, + "step": 9939 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.5374, + "step": 9940 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.4576, + "step": 9941 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.4834, + "step": 9942 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.4089, + "step": 9943 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.5164, + "step": 9944 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.4182, + "step": 9945 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.4447, + "step": 9946 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.4443, + "step": 9947 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.4928, + "step": 9948 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.4749, + "step": 9949 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.4544, + "step": 9950 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.4667, + "step": 9951 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.401, + "step": 9952 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.5036, + "step": 9953 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.4034, + "step": 9954 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.4536, + "step": 9955 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.4798, + "step": 9956 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.5151, + "step": 9957 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.5442, + "step": 9958 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.357, + "step": 9959 + }, + { + "epoch": 2.51, + "learning_rate": 0.0002, + "loss": 0.6147, + "step": 9960 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.3865, + "step": 9961 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.5564, + "step": 9962 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.4125, + "step": 9963 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.4556, + "step": 9964 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.5724, + "step": 9965 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.4685, + "step": 9966 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.5973, + "step": 9967 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.5387, + "step": 9968 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.3601, + "step": 9969 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.6498, + "step": 9970 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.4464, + "step": 9971 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.5529, + "step": 9972 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.4477, + "step": 9973 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.4226, + "step": 9974 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.4464, + "step": 9975 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.5081, + "step": 9976 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.4133, + "step": 9977 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.406, + "step": 9978 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.5135, + "step": 9979 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.3736, + "step": 9980 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.4292, + "step": 9981 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.4051, + "step": 9982 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.4222, + "step": 9983 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.6438, + "step": 9984 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.429, + "step": 9985 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.4833, + "step": 9986 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.581, + "step": 9987 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.4071, + "step": 9988 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.4793, + "step": 9989 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.3907, + "step": 9990 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.4637, + "step": 9991 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.4985, + "step": 9992 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.4416, + "step": 9993 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.4834, + "step": 9994 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.3931, + "step": 9995 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.2748, + "step": 9996 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.4749, + "step": 9997 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.5728, + "step": 9998 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.4933, + "step": 9999 + }, + { + "epoch": 2.52, + "learning_rate": 0.0002, + "loss": 0.3941, + "step": 10000 + }, + { + "epoch": 2.52, + "eval_loss": 0.7365612983703613, + "eval_runtime": 95.1043, + "eval_samples_per_second": 10.515, + "eval_steps_per_second": 5.257, + "step": 10000 + }, + { + "epoch": 2.52, + "mmlu_eval_accuracy": 0.5355239455603793, + "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": 0.3448275862068966, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, + "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": 0.34615384615384615, + "mmlu_eval_accuracy_econometrics": 0.5833333333333334, + "mmlu_eval_accuracy_electrical_engineering": 0.375, + "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, + "mmlu_eval_accuracy_formal_logic": 0.42857142857142855, + "mmlu_eval_accuracy_global_facts": 0.2, + "mmlu_eval_accuracy_high_school_biology": 0.625, + "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112, + "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.8095238095238095, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, + "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": 0.7666666666666667, + "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": 0.6521739130434783, + "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333, + "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": 0.36363636363636365, + "mmlu_eval_accuracy_management": 0.7272727272727273, + "mmlu_eval_accuracy_marketing": 0.76, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7093023255813954, + "mmlu_eval_accuracy_moral_disputes": 0.5, + "mmlu_eval_accuracy_moral_scenarios": 0.36, + "mmlu_eval_accuracy_nutrition": 0.6363636363636364, + "mmlu_eval_accuracy_philosophy": 0.5294117647058824, + "mmlu_eval_accuracy_prehistory": 0.4, + "mmlu_eval_accuracy_professional_accounting": 0.3548387096774194, + "mmlu_eval_accuracy_professional_law": 0.3588235294117647, + "mmlu_eval_accuracy_professional_medicine": 0.4838709677419355, + "mmlu_eval_accuracy_professional_psychology": 0.5217391304347826, + "mmlu_eval_accuracy_public_relations": 0.6666666666666666, + "mmlu_eval_accuracy_security_studies": 0.48148148148148145, + "mmlu_eval_accuracy_sociology": 0.6363636363636364, + "mmlu_eval_accuracy_us_foreign_policy": 0.9090909090909091, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.2569051583932211, + "step": 10000 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.4265, + "step": 10001 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.3711, + "step": 10002 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.4098, + "step": 10003 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.5342, + "step": 10004 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.4944, + "step": 10005 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.3945, + "step": 10006 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.43, + "step": 10007 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.4009, + "step": 10008 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.3767, + "step": 10009 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.4634, + "step": 10010 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.4069, + "step": 10011 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.5139, + "step": 10012 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.4113, + "step": 10013 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.4044, + "step": 10014 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.4949, + "step": 10015 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.3842, + "step": 10016 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.4464, + "step": 10017 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.5321, + "step": 10018 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.4341, + "step": 10019 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.4637, + "step": 10020 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.4657, + "step": 10021 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.4301, + "step": 10022 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.4795, + "step": 10023 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.4343, + "step": 10024 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.4454, + "step": 10025 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.4308, + "step": 10026 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.399, + "step": 10027 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.4215, + "step": 10028 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.3806, + "step": 10029 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.5282, + "step": 10030 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.5365, + "step": 10031 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.3407, + "step": 10032 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.504, + "step": 10033 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.3966, + "step": 10034 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.4231, + "step": 10035 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.5584, + "step": 10036 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.5865, + "step": 10037 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.4638, + "step": 10038 + }, + { + "epoch": 2.53, + "learning_rate": 0.0002, + "loss": 0.6001, + "step": 10039 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.7354, + "step": 10040 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.4902, + "step": 10041 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.4141, + "step": 10042 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.537, + "step": 10043 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.4357, + "step": 10044 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.3815, + "step": 10045 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.5048, + "step": 10046 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.5139, + "step": 10047 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.5353, + "step": 10048 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.3973, + "step": 10049 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.5475, + "step": 10050 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.4515, + "step": 10051 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.4162, + "step": 10052 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.5366, + "step": 10053 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.5147, + "step": 10054 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.4184, + "step": 10055 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.4001, + "step": 10056 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.5071, + "step": 10057 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.3554, + "step": 10058 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.3749, + "step": 10059 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.419, + "step": 10060 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.4691, + "step": 10061 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.5666, + "step": 10062 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.5196, + "step": 10063 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.5881, + "step": 10064 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.4534, + "step": 10065 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.4832, + "step": 10066 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.4967, + "step": 10067 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.5003, + "step": 10068 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.6465, + "step": 10069 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.4495, + "step": 10070 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.4397, + "step": 10071 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.5216, + "step": 10072 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.4697, + "step": 10073 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.3049, + "step": 10074 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.4416, + "step": 10075 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.43, + "step": 10076 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.4062, + "step": 10077 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.4232, + "step": 10078 + }, + { + "epoch": 2.54, + "learning_rate": 0.0002, + "loss": 0.4252, + "step": 10079 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.4231, + "step": 10080 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.3748, + "step": 10081 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.4215, + "step": 10082 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.5347, + "step": 10083 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.4544, + "step": 10084 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.5069, + "step": 10085 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.5116, + "step": 10086 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.3319, + "step": 10087 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.487, + "step": 10088 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.5066, + "step": 10089 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.4192, + "step": 10090 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.6366, + "step": 10091 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.5576, + "step": 10092 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.4149, + "step": 10093 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.3898, + "step": 10094 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.4044, + "step": 10095 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.5257, + "step": 10096 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.4477, + "step": 10097 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.3933, + "step": 10098 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.3916, + "step": 10099 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.4834, + "step": 10100 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.507, + "step": 10101 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.409, + "step": 10102 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.3577, + "step": 10103 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.5232, + "step": 10104 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.5272, + "step": 10105 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.4715, + "step": 10106 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.4081, + "step": 10107 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.3492, + "step": 10108 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.4687, + "step": 10109 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.5049, + "step": 10110 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.389, + "step": 10111 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.3993, + "step": 10112 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.5455, + "step": 10113 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.4959, + "step": 10114 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.4502, + "step": 10115 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.4012, + "step": 10116 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.3586, + "step": 10117 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.4838, + "step": 10118 + }, + { + "epoch": 2.55, + "learning_rate": 0.0002, + "loss": 0.4369, + "step": 10119 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.4635, + "step": 10120 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.3798, + "step": 10121 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.5438, + "step": 10122 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.6558, + "step": 10123 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.4272, + "step": 10124 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.5682, + "step": 10125 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.4094, + "step": 10126 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.4201, + "step": 10127 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.716, + "step": 10128 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.4808, + "step": 10129 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.4629, + "step": 10130 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.4254, + "step": 10131 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.4645, + "step": 10132 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.4237, + "step": 10133 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.4483, + "step": 10134 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.3148, + "step": 10135 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.3963, + "step": 10136 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.4749, + "step": 10137 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.403, + "step": 10138 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.5907, + "step": 10139 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.4936, + "step": 10140 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.457, + "step": 10141 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.4632, + "step": 10142 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.4687, + "step": 10143 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.6342, + "step": 10144 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.5036, + "step": 10145 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.3964, + "step": 10146 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.4004, + "step": 10147 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.675, + "step": 10148 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.4367, + "step": 10149 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.4802, + "step": 10150 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.5339, + "step": 10151 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.4275, + "step": 10152 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.5734, + "step": 10153 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.4479, + "step": 10154 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.4046, + "step": 10155 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.4209, + "step": 10156 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.5256, + "step": 10157 + }, + { + "epoch": 2.56, + "learning_rate": 0.0002, + "loss": 0.6657, + "step": 10158 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.5262, + "step": 10159 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.4974, + "step": 10160 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.4339, + "step": 10161 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.3769, + "step": 10162 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.3955, + "step": 10163 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.3408, + "step": 10164 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.5065, + "step": 10165 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.4004, + "step": 10166 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.5859, + "step": 10167 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.4734, + "step": 10168 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.554, + "step": 10169 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.5513, + "step": 10170 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.4858, + "step": 10171 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.4685, + "step": 10172 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.4193, + "step": 10173 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.4424, + "step": 10174 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.4089, + "step": 10175 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.478, + "step": 10176 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.4026, + "step": 10177 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.423, + "step": 10178 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.6348, + "step": 10179 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.4174, + "step": 10180 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.508, + "step": 10181 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.4047, + "step": 10182 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.5169, + "step": 10183 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.4788, + "step": 10184 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.3943, + "step": 10185 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.4135, + "step": 10186 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.4908, + "step": 10187 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.4905, + "step": 10188 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.4347, + "step": 10189 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.5761, + "step": 10190 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.4083, + "step": 10191 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.3533, + "step": 10192 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.467, + "step": 10193 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.5932, + "step": 10194 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.5373, + "step": 10195 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.5252, + "step": 10196 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.3294, + "step": 10197 + }, + { + "epoch": 2.57, + "learning_rate": 0.0002, + "loss": 0.5386, + "step": 10198 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.4657, + "step": 10199 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.521, + "step": 10200 + }, + { + "epoch": 2.58, + "eval_loss": 0.7368636727333069, + "eval_runtime": 95.1418, + "eval_samples_per_second": 10.511, + "eval_steps_per_second": 5.255, + "step": 10200 + }, + { + "epoch": 2.58, + "mmlu_eval_accuracy": 0.5390176406343746, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.625, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.125, + "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, + "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": 0.5454545454545454, + "mmlu_eval_accuracy_conceptual_physics": 0.3076923076923077, + "mmlu_eval_accuracy_econometrics": 0.3333333333333333, + "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": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.59375, + "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, + "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, + "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": 0.8571428571428571, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, + "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.8166666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.5652173913043478, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769, + "mmlu_eval_accuracy_human_aging": 0.6086956521739131, + "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": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.76, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7093023255813954, + "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, + "mmlu_eval_accuracy_moral_scenarios": 0.32, + "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_philosophy": 0.5882352941176471, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, + "mmlu_eval_accuracy_professional_law": 0.36470588235294116, + "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": 0.4444444444444444, + "mmlu_eval_accuracy_sociology": 0.6818181818181818, + "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.6842105263157895, + "mmlu_loss": 1.2926529344200466, + "step": 10200 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.421, + "step": 10201 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.4526, + "step": 10202 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.4896, + "step": 10203 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.5729, + "step": 10204 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.4572, + "step": 10205 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.4605, + "step": 10206 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.4207, + "step": 10207 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.5652, + "step": 10208 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.4525, + "step": 10209 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.518, + "step": 10210 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.4511, + "step": 10211 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.4569, + "step": 10212 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.5562, + "step": 10213 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.4855, + "step": 10214 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.3813, + "step": 10215 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.4845, + "step": 10216 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.645, + "step": 10217 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.467, + "step": 10218 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.5685, + "step": 10219 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.4347, + "step": 10220 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.6088, + "step": 10221 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.3767, + "step": 10222 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.3758, + "step": 10223 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.4597, + "step": 10224 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.4603, + "step": 10225 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.3106, + "step": 10226 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.4158, + "step": 10227 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.4737, + "step": 10228 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.444, + "step": 10229 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.4999, + "step": 10230 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.3671, + "step": 10231 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.3943, + "step": 10232 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.4398, + "step": 10233 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.491, + "step": 10234 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.4522, + "step": 10235 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.6219, + "step": 10236 + }, + { + "epoch": 2.58, + "learning_rate": 0.0002, + "loss": 0.4261, + "step": 10237 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.4449, + "step": 10238 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.6213, + "step": 10239 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.5404, + "step": 10240 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.4948, + "step": 10241 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.5132, + "step": 10242 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.4433, + "step": 10243 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.5218, + "step": 10244 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.4495, + "step": 10245 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.3782, + "step": 10246 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.4968, + "step": 10247 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.6649, + "step": 10248 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.5395, + "step": 10249 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.3501, + "step": 10250 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.5284, + "step": 10251 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.4967, + "step": 10252 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.4524, + "step": 10253 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.4651, + "step": 10254 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.4868, + "step": 10255 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.6208, + "step": 10256 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.4037, + "step": 10257 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.5597, + "step": 10258 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.603, + "step": 10259 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.4761, + "step": 10260 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.42, + "step": 10261 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.5257, + "step": 10262 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.4852, + "step": 10263 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.5389, + "step": 10264 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.4599, + "step": 10265 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.5954, + "step": 10266 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.5502, + "step": 10267 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.5368, + "step": 10268 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.3973, + "step": 10269 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.452, + "step": 10270 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.4295, + "step": 10271 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.3678, + "step": 10272 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.4274, + "step": 10273 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.4505, + "step": 10274 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.5436, + "step": 10275 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.3977, + "step": 10276 + }, + { + "epoch": 2.59, + "learning_rate": 0.0002, + "loss": 0.4803, + "step": 10277 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.5255, + "step": 10278 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.4861, + "step": 10279 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.5158, + "step": 10280 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.5344, + "step": 10281 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.5257, + "step": 10282 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.468, + "step": 10283 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.3943, + "step": 10284 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.5274, + "step": 10285 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.4516, + "step": 10286 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.5628, + "step": 10287 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.6129, + "step": 10288 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.333, + "step": 10289 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.5067, + "step": 10290 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.4713, + "step": 10291 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.4575, + "step": 10292 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.624, + "step": 10293 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.3797, + "step": 10294 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.4109, + "step": 10295 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.5311, + "step": 10296 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.4562, + "step": 10297 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.435, + "step": 10298 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.5185, + "step": 10299 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.4954, + "step": 10300 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.4043, + "step": 10301 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.4616, + "step": 10302 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.4462, + "step": 10303 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.5141, + "step": 10304 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.4381, + "step": 10305 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.4169, + "step": 10306 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.5126, + "step": 10307 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.5054, + "step": 10308 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.3751, + "step": 10309 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.3843, + "step": 10310 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.5653, + "step": 10311 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.5294, + "step": 10312 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.5436, + "step": 10313 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.4942, + "step": 10314 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.4856, + "step": 10315 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.4395, + "step": 10316 + }, + { + "epoch": 2.6, + "learning_rate": 0.0002, + "loss": 0.4676, + "step": 10317 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.4183, + "step": 10318 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.4378, + "step": 10319 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.3691, + "step": 10320 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.3953, + "step": 10321 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.3369, + "step": 10322 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.4647, + "step": 10323 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.4688, + "step": 10324 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.6225, + "step": 10325 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.5081, + "step": 10326 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.5851, + "step": 10327 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.4842, + "step": 10328 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.4888, + "step": 10329 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.5394, + "step": 10330 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.3732, + "step": 10331 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.561, + "step": 10332 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.3785, + "step": 10333 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.4289, + "step": 10334 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.5746, + "step": 10335 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.4046, + "step": 10336 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.4594, + "step": 10337 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.4593, + "step": 10338 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.4204, + "step": 10339 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.487, + "step": 10340 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.4213, + "step": 10341 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.7204, + "step": 10342 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.4505, + "step": 10343 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.5637, + "step": 10344 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.4203, + "step": 10345 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.4458, + "step": 10346 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.527, + "step": 10347 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.6031, + "step": 10348 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.5231, + "step": 10349 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.5224, + "step": 10350 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.5075, + "step": 10351 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.5041, + "step": 10352 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.4143, + "step": 10353 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.3714, + "step": 10354 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.4363, + "step": 10355 + }, + { + "epoch": 2.61, + "learning_rate": 0.0002, + "loss": 0.4027, + "step": 10356 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.4665, + "step": 10357 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.4828, + "step": 10358 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.4717, + "step": 10359 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.4052, + "step": 10360 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.4624, + "step": 10361 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.4568, + "step": 10362 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.3674, + "step": 10363 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.4558, + "step": 10364 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.4833, + "step": 10365 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.3812, + "step": 10366 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.3579, + "step": 10367 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.472, + "step": 10368 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.4042, + "step": 10369 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.6723, + "step": 10370 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.5225, + "step": 10371 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.5115, + "step": 10372 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.478, + "step": 10373 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.4295, + "step": 10374 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.4605, + "step": 10375 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.5957, + "step": 10376 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.6448, + "step": 10377 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.4621, + "step": 10378 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.3977, + "step": 10379 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.5063, + "step": 10380 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.4022, + "step": 10381 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.4256, + "step": 10382 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.3762, + "step": 10383 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.4764, + "step": 10384 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.5522, + "step": 10385 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.5401, + "step": 10386 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.4826, + "step": 10387 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.5261, + "step": 10388 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.4752, + "step": 10389 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.5254, + "step": 10390 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.4181, + "step": 10391 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.5762, + "step": 10392 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.4647, + "step": 10393 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.4162, + "step": 10394 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.3823, + "step": 10395 + }, + { + "epoch": 2.62, + "learning_rate": 0.0002, + "loss": 0.48, + "step": 10396 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.5431, + "step": 10397 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.4543, + "step": 10398 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.4565, + "step": 10399 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.4817, + "step": 10400 + }, + { + "epoch": 2.63, + "eval_loss": 0.7342633008956909, + "eval_runtime": 95.2765, + "eval_samples_per_second": 10.496, + "eval_steps_per_second": 5.248, + "step": 10400 + }, + { + "epoch": 2.63, + "mmlu_eval_accuracy": 0.5319236544015074, + "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.625, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.3448275862068966, + "mmlu_eval_accuracy_college_biology": 0.5, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "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": 0.36363636363636365, + "mmlu_eval_accuracy_computer_security": 0.36363636363636365, + "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, + "mmlu_eval_accuracy_econometrics": 0.25, + "mmlu_eval_accuracy_electrical_engineering": 0.3125, + "mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "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": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.9090909090909091, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5116279069767442, + "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069, + "mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156, + "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": 0.6956521739130435, + "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": 0.2727272727272727, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.6976744186046512, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.39, + "mmlu_eval_accuracy_nutrition": 0.6060606060606061, + "mmlu_eval_accuracy_philosophy": 0.5882352941176471, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.45161290322580644, + "mmlu_eval_accuracy_professional_law": 0.3235294117647059, + "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, + "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, + "mmlu_eval_accuracy_public_relations": 0.6666666666666666, + "mmlu_eval_accuracy_security_studies": 0.5185185185185185, + "mmlu_eval_accuracy_sociology": 0.6818181818181818, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.2287971977698897, + "step": 10400 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.5152, + "step": 10401 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.5053, + "step": 10402 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.6001, + "step": 10403 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.5377, + "step": 10404 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.4999, + "step": 10405 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.5308, + "step": 10406 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.5601, + "step": 10407 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.4953, + "step": 10408 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.4537, + "step": 10409 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.4032, + "step": 10410 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.4961, + "step": 10411 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.5714, + "step": 10412 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.4944, + "step": 10413 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.5028, + "step": 10414 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.5326, + "step": 10415 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.3501, + "step": 10416 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.5105, + "step": 10417 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.4989, + "step": 10418 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.4379, + "step": 10419 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.5221, + "step": 10420 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.5479, + "step": 10421 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.4521, + "step": 10422 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.503, + "step": 10423 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.4388, + "step": 10424 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.4618, + "step": 10425 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.46, + "step": 10426 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.3965, + "step": 10427 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.5403, + "step": 10428 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.4852, + "step": 10429 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.5234, + "step": 10430 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.414, + "step": 10431 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.4227, + "step": 10432 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.5298, + "step": 10433 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.4662, + "step": 10434 + }, + { + "epoch": 2.63, + "learning_rate": 0.0002, + "loss": 0.4916, + "step": 10435 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.4869, + "step": 10436 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.5393, + "step": 10437 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.4466, + "step": 10438 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.4663, + "step": 10439 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.5526, + "step": 10440 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.432, + "step": 10441 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.4041, + "step": 10442 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.463, + "step": 10443 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.424, + "step": 10444 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.4518, + "step": 10445 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.463, + "step": 10446 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.5008, + "step": 10447 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.4571, + "step": 10448 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.5161, + "step": 10449 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.3906, + "step": 10450 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.368, + "step": 10451 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.4139, + "step": 10452 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.5342, + "step": 10453 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.4049, + "step": 10454 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.3534, + "step": 10455 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.5346, + "step": 10456 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.4427, + "step": 10457 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.4946, + "step": 10458 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.4812, + "step": 10459 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.3397, + "step": 10460 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.3921, + "step": 10461 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.4258, + "step": 10462 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.4325, + "step": 10463 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.4854, + "step": 10464 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.4404, + "step": 10465 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.447, + "step": 10466 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.4936, + "step": 10467 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.3676, + "step": 10468 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.504, + "step": 10469 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.3409, + "step": 10470 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.3449, + "step": 10471 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.4879, + "step": 10472 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.3634, + "step": 10473 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.5067, + "step": 10474 + }, + { + "epoch": 2.64, + "learning_rate": 0.0002, + "loss": 0.516, + "step": 10475 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.6073, + "step": 10476 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.3656, + "step": 10477 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.3619, + "step": 10478 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.4831, + "step": 10479 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.3613, + "step": 10480 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.5049, + "step": 10481 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.5314, + "step": 10482 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.5092, + "step": 10483 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.4664, + "step": 10484 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.5377, + "step": 10485 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.6146, + "step": 10486 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.5474, + "step": 10487 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.5907, + "step": 10488 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.4301, + "step": 10489 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.4895, + "step": 10490 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.5729, + "step": 10491 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.3959, + "step": 10492 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.4779, + "step": 10493 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.4978, + "step": 10494 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.4801, + "step": 10495 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.4004, + "step": 10496 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.5502, + "step": 10497 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.5466, + "step": 10498 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.415, + "step": 10499 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.4627, + "step": 10500 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.4452, + "step": 10501 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.4967, + "step": 10502 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.397, + "step": 10503 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.4209, + "step": 10504 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.4495, + "step": 10505 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.664, + "step": 10506 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.5258, + "step": 10507 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.6062, + "step": 10508 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.4766, + "step": 10509 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.4299, + "step": 10510 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.3914, + "step": 10511 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.5968, + "step": 10512 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.4537, + "step": 10513 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.4298, + "step": 10514 + }, + { + "epoch": 2.65, + "learning_rate": 0.0002, + "loss": 0.4209, + "step": 10515 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.4411, + "step": 10516 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.5935, + "step": 10517 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.3536, + "step": 10518 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.5057, + "step": 10519 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.399, + "step": 10520 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.439, + "step": 10521 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.5164, + "step": 10522 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.5693, + "step": 10523 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.4828, + "step": 10524 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.4817, + "step": 10525 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.5138, + "step": 10526 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.6091, + "step": 10527 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.3612, + "step": 10528 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.5061, + "step": 10529 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.5338, + "step": 10530 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.6488, + "step": 10531 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.3506, + "step": 10532 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.3347, + "step": 10533 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.3185, + "step": 10534 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.4298, + "step": 10535 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.3429, + "step": 10536 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.4196, + "step": 10537 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.5294, + "step": 10538 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.3706, + "step": 10539 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.5528, + "step": 10540 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.3427, + "step": 10541 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.375, + "step": 10542 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.4746, + "step": 10543 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.488, + "step": 10544 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.4285, + "step": 10545 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.4758, + "step": 10546 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.3294, + "step": 10547 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.483, + "step": 10548 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.5497, + "step": 10549 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.4512, + "step": 10550 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.4449, + "step": 10551 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.4775, + "step": 10552 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.5043, + "step": 10553 + }, + { + "epoch": 2.66, + "learning_rate": 0.0002, + "loss": 0.6113, + "step": 10554 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.5042, + "step": 10555 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.5162, + "step": 10556 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.4753, + "step": 10557 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.3554, + "step": 10558 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.5476, + "step": 10559 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.5098, + "step": 10560 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.552, + "step": 10561 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.5447, + "step": 10562 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.4301, + "step": 10563 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.4118, + "step": 10564 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.528, + "step": 10565 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.6273, + "step": 10566 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.506, + "step": 10567 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.4927, + "step": 10568 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.4645, + "step": 10569 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.5353, + "step": 10570 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.5387, + "step": 10571 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.5178, + "step": 10572 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.3345, + "step": 10573 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.5057, + "step": 10574 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.497, + "step": 10575 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.4384, + "step": 10576 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.4107, + "step": 10577 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.3899, + "step": 10578 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.5612, + "step": 10579 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.4988, + "step": 10580 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.4747, + "step": 10581 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.4838, + "step": 10582 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.4088, + "step": 10583 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.5435, + "step": 10584 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.3868, + "step": 10585 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.4915, + "step": 10586 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.4989, + "step": 10587 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.4569, + "step": 10588 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.4203, + "step": 10589 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.403, + "step": 10590 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.3401, + "step": 10591 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.5138, + "step": 10592 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.3412, + "step": 10593 + }, + { + "epoch": 2.67, + "learning_rate": 0.0002, + "loss": 0.4025, + "step": 10594 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.5035, + "step": 10595 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.4634, + "step": 10596 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.5155, + "step": 10597 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.5038, + "step": 10598 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.4376, + "step": 10599 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.4892, + "step": 10600 + }, + { + "epoch": 2.68, + "eval_loss": 0.7411888241767883, + "eval_runtime": 95.185, + "eval_samples_per_second": 10.506, + "eval_steps_per_second": 5.253, + "step": 10600 + }, + { + "epoch": 2.68, + "mmlu_eval_accuracy": 0.5310162217250697, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.625, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.5, + "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": 0.36363636363636365, + "mmlu_eval_accuracy_computer_security": 0.45454545454545453, + "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, + "mmlu_eval_accuracy_econometrics": 0.16666666666666666, + "mmlu_eval_accuracy_electrical_engineering": 0.25, + "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244, + "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": 0.2727272727272727, + "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "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": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5, + "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826, + "mmlu_eval_accuracy_high_school_psychology": 0.75, + "mmlu_eval_accuracy_high_school_statistics": 0.5217391304347826, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, + "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": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "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": 0.42, + "mmlu_eval_accuracy_nutrition": 0.6363636363636364, + "mmlu_eval_accuracy_philosophy": 0.6176470588235294, + "mmlu_eval_accuracy_prehistory": 0.4857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, + "mmlu_eval_accuracy_professional_law": 0.32941176470588235, + "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, + "mmlu_eval_accuracy_professional_psychology": 0.5362318840579711, + "mmlu_eval_accuracy_public_relations": 0.75, + "mmlu_eval_accuracy_security_studies": 0.5185185185185185, + "mmlu_eval_accuracy_sociology": 0.6363636363636364, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.3888888888888889, + "mmlu_eval_accuracy_world_religions": 0.631578947368421, + "mmlu_loss": 1.0689419422775273, + "step": 10600 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.4656, + "step": 10601 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.5213, + "step": 10602 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.4457, + "step": 10603 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.5708, + "step": 10604 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.3671, + "step": 10605 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.5165, + "step": 10606 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.4742, + "step": 10607 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.4364, + "step": 10608 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.5002, + "step": 10609 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.6842, + "step": 10610 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.3357, + "step": 10611 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.5415, + "step": 10612 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.5064, + "step": 10613 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.4864, + "step": 10614 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.4869, + "step": 10615 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.5665, + "step": 10616 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.4044, + "step": 10617 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.3777, + "step": 10618 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.4416, + "step": 10619 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.3705, + "step": 10620 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.4722, + "step": 10621 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.5149, + "step": 10622 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.4453, + "step": 10623 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.6943, + "step": 10624 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.4729, + "step": 10625 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.5066, + "step": 10626 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.4255, + "step": 10627 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.4422, + "step": 10628 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.38, + "step": 10629 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.4175, + "step": 10630 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.6071, + "step": 10631 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.5269, + "step": 10632 + }, + { + "epoch": 2.68, + "learning_rate": 0.0002, + "loss": 0.4052, + "step": 10633 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.4813, + "step": 10634 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.6821, + "step": 10635 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.4614, + "step": 10636 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.4153, + "step": 10637 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.4456, + "step": 10638 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.4331, + "step": 10639 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.456, + "step": 10640 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.4302, + "step": 10641 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.5452, + "step": 10642 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.4438, + "step": 10643 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.5461, + "step": 10644 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.445, + "step": 10645 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.5259, + "step": 10646 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.553, + "step": 10647 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.4194, + "step": 10648 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.4892, + "step": 10649 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.4666, + "step": 10650 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.5283, + "step": 10651 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.5022, + "step": 10652 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.4155, + "step": 10653 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.6517, + "step": 10654 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.4814, + "step": 10655 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.4014, + "step": 10656 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.5677, + "step": 10657 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.3723, + "step": 10658 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.5483, + "step": 10659 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.4672, + "step": 10660 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.4738, + "step": 10661 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.4568, + "step": 10662 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.4806, + "step": 10663 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.5128, + "step": 10664 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.4279, + "step": 10665 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.3461, + "step": 10666 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.5442, + "step": 10667 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.4462, + "step": 10668 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.5567, + "step": 10669 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.5701, + "step": 10670 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.4652, + "step": 10671 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.6034, + "step": 10672 + }, + { + "epoch": 2.69, + "learning_rate": 0.0002, + "loss": 0.357, + "step": 10673 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.401, + "step": 10674 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.3723, + "step": 10675 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.4048, + "step": 10676 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.4826, + "step": 10677 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.495, + "step": 10678 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.4742, + "step": 10679 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.4277, + "step": 10680 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.5939, + "step": 10681 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.4983, + "step": 10682 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.3978, + "step": 10683 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.4781, + "step": 10684 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.465, + "step": 10685 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.5056, + "step": 10686 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.5532, + "step": 10687 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.5344, + "step": 10688 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.4492, + "step": 10689 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.4642, + "step": 10690 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.4142, + "step": 10691 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.6163, + "step": 10692 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.5543, + "step": 10693 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.4991, + "step": 10694 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.542, + "step": 10695 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.5083, + "step": 10696 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.4899, + "step": 10697 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.4343, + "step": 10698 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.4087, + "step": 10699 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.3923, + "step": 10700 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.4874, + "step": 10701 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.4503, + "step": 10702 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.6897, + "step": 10703 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.5716, + "step": 10704 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.5917, + "step": 10705 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.4339, + "step": 10706 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.5564, + "step": 10707 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.4881, + "step": 10708 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.4685, + "step": 10709 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.4963, + "step": 10710 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.4716, + "step": 10711 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.5156, + "step": 10712 + }, + { + "epoch": 2.7, + "learning_rate": 0.0002, + "loss": 0.4555, + "step": 10713 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.4352, + "step": 10714 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.4346, + "step": 10715 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.4399, + "step": 10716 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.383, + "step": 10717 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.5778, + "step": 10718 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.425, + "step": 10719 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.5212, + "step": 10720 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.5513, + "step": 10721 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.4314, + "step": 10722 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.5491, + "step": 10723 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.4834, + "step": 10724 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.3279, + "step": 10725 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.6435, + "step": 10726 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.4516, + "step": 10727 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.4501, + "step": 10728 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.5541, + "step": 10729 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.4901, + "step": 10730 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.615, + "step": 10731 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.5313, + "step": 10732 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.5162, + "step": 10733 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.4929, + "step": 10734 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.4182, + "step": 10735 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.5308, + "step": 10736 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.482, + "step": 10737 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.6362, + "step": 10738 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.4962, + "step": 10739 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.4535, + "step": 10740 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.3701, + "step": 10741 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.6864, + "step": 10742 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.5018, + "step": 10743 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.4715, + "step": 10744 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.4867, + "step": 10745 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.425, + "step": 10746 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.354, + "step": 10747 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.3272, + "step": 10748 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.5051, + "step": 10749 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.4706, + "step": 10750 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.5506, + "step": 10751 + }, + { + "epoch": 2.71, + "learning_rate": 0.0002, + "loss": 0.4536, + "step": 10752 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4914, + "step": 10753 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.5256, + "step": 10754 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4293, + "step": 10755 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4592, + "step": 10756 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4357, + "step": 10757 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4392, + "step": 10758 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.6702, + "step": 10759 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4487, + "step": 10760 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4713, + "step": 10761 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4808, + "step": 10762 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4248, + "step": 10763 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4508, + "step": 10764 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.357, + "step": 10765 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4333, + "step": 10766 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4772, + "step": 10767 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.3554, + "step": 10768 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4726, + "step": 10769 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.5254, + "step": 10770 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.525, + "step": 10771 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4389, + "step": 10772 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.483, + "step": 10773 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4922, + "step": 10774 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.6708, + "step": 10775 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.5477, + "step": 10776 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4442, + "step": 10777 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4999, + "step": 10778 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4929, + "step": 10779 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.3673, + "step": 10780 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.5076, + "step": 10781 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.3736, + "step": 10782 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.5839, + "step": 10783 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4663, + "step": 10784 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4335, + "step": 10785 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.3122, + "step": 10786 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.365, + "step": 10787 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4536, + "step": 10788 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.4565, + "step": 10789 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.2989, + "step": 10790 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.5116, + "step": 10791 + }, + { + "epoch": 2.72, + "learning_rate": 0.0002, + "loss": 0.5277, + "step": 10792 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.5003, + "step": 10793 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.5294, + "step": 10794 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.5093, + "step": 10795 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.7108, + "step": 10796 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.4883, + "step": 10797 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.4828, + "step": 10798 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.519, + "step": 10799 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.4789, + "step": 10800 + }, + { + "epoch": 2.73, + "eval_loss": 0.7329158186912537, + "eval_runtime": 95.2371, + "eval_samples_per_second": 10.5, + "eval_steps_per_second": 5.25, + "step": 10800 + }, + { + "epoch": 2.73, + "mmlu_eval_accuracy": 0.5316257766806277, + "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": 0.3793103448275862, + "mmlu_eval_accuracy_college_biology": 0.5625, + "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": 0.45454545454545453, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.45454545454545453, + "mmlu_eval_accuracy_conceptual_physics": 0.5, + "mmlu_eval_accuracy_econometrics": 0.25, + "mmlu_eval_accuracy_electrical_engineering": 0.1875, + "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637, + "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": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444, + "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": 0.4418604651162791, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384, + "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826, + "mmlu_eval_accuracy_high_school_psychology": 0.8, + "mmlu_eval_accuracy_high_school_statistics": 0.5217391304347826, + "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": 0.5454545454545454, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.88, + "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": 0.4, + "mmlu_eval_accuracy_nutrition": 0.5757575757575758, + "mmlu_eval_accuracy_philosophy": 0.5588235294117647, + "mmlu_eval_accuracy_prehistory": 0.4, + "mmlu_eval_accuracy_professional_accounting": 0.3870967741935484, + "mmlu_eval_accuracy_professional_law": 0.34705882352941175, + "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, + "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.5185185185185185, + "mmlu_eval_accuracy_sociology": 0.6363636363636364, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.7368421052631579, + "mmlu_loss": 1.56938789886065, + "step": 10800 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.4717, + "step": 10801 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.5649, + "step": 10802 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.3987, + "step": 10803 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.5469, + "step": 10804 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.3261, + "step": 10805 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.3831, + "step": 10806 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.4449, + "step": 10807 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.444, + "step": 10808 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.3913, + "step": 10809 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.4322, + "step": 10810 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.4238, + "step": 10811 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.41, + "step": 10812 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.3769, + "step": 10813 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.5112, + "step": 10814 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.4075, + "step": 10815 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.373, + "step": 10816 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.4105, + "step": 10817 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.5652, + "step": 10818 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.5, + "step": 10819 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.6469, + "step": 10820 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.5291, + "step": 10821 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.4958, + "step": 10822 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.3438, + "step": 10823 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.52, + "step": 10824 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.3006, + "step": 10825 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.4021, + "step": 10826 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.5074, + "step": 10827 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.6141, + "step": 10828 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.4335, + "step": 10829 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.5976, + "step": 10830 + }, + { + "epoch": 2.73, + "learning_rate": 0.0002, + "loss": 0.4049, + "step": 10831 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4793, + "step": 10832 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4545, + "step": 10833 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.5982, + "step": 10834 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4937, + "step": 10835 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.548, + "step": 10836 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.564, + "step": 10837 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.3857, + "step": 10838 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4742, + "step": 10839 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.5905, + "step": 10840 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.577, + "step": 10841 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4705, + "step": 10842 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.5125, + "step": 10843 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4371, + "step": 10844 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4735, + "step": 10845 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.3844, + "step": 10846 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4493, + "step": 10847 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.5046, + "step": 10848 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4004, + "step": 10849 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.479, + "step": 10850 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.5116, + "step": 10851 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.6136, + "step": 10852 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4192, + "step": 10853 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4692, + "step": 10854 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4039, + "step": 10855 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.5127, + "step": 10856 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4499, + "step": 10857 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.54, + "step": 10858 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4262, + "step": 10859 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4376, + "step": 10860 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4332, + "step": 10861 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4359, + "step": 10862 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4535, + "step": 10863 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4273, + "step": 10864 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.423, + "step": 10865 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4987, + "step": 10866 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.5124, + "step": 10867 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.5583, + "step": 10868 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.5581, + "step": 10869 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4834, + "step": 10870 + }, + { + "epoch": 2.74, + "learning_rate": 0.0002, + "loss": 0.4505, + "step": 10871 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.5052, + "step": 10872 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.5052, + "step": 10873 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.5019, + "step": 10874 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.5249, + "step": 10875 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.5291, + "step": 10876 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.4732, + "step": 10877 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.4792, + "step": 10878 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.3784, + "step": 10879 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.3871, + "step": 10880 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.4592, + "step": 10881 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.5188, + "step": 10882 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.5083, + "step": 10883 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.4105, + "step": 10884 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.6453, + "step": 10885 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.5471, + "step": 10886 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.4198, + "step": 10887 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.515, + "step": 10888 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.4874, + "step": 10889 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.4645, + "step": 10890 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.4613, + "step": 10891 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.5205, + "step": 10892 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.5579, + "step": 10893 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.6916, + "step": 10894 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.4966, + "step": 10895 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.5129, + "step": 10896 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.4178, + "step": 10897 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.4315, + "step": 10898 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.4942, + "step": 10899 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.4061, + "step": 10900 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.5667, + "step": 10901 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.3811, + "step": 10902 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.4316, + "step": 10903 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.3869, + "step": 10904 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.5232, + "step": 10905 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.5694, + "step": 10906 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.5344, + "step": 10907 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.4573, + "step": 10908 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.4641, + "step": 10909 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.4302, + "step": 10910 + }, + { + "epoch": 2.75, + "learning_rate": 0.0002, + "loss": 0.4668, + "step": 10911 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.4266, + "step": 10912 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.4285, + "step": 10913 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.4294, + "step": 10914 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.3791, + "step": 10915 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.4449, + "step": 10916 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.5524, + "step": 10917 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.4216, + "step": 10918 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.3539, + "step": 10919 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.4333, + "step": 10920 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.4622, + "step": 10921 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.5493, + "step": 10922 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.4198, + "step": 10923 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.3847, + "step": 10924 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.4819, + "step": 10925 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.4059, + "step": 10926 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.5498, + "step": 10927 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.5238, + "step": 10928 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.504, + "step": 10929 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.4195, + "step": 10930 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.4048, + "step": 10931 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.3751, + "step": 10932 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.6756, + "step": 10933 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.3884, + "step": 10934 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.6848, + "step": 10935 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.4519, + "step": 10936 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.4176, + "step": 10937 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.489, + "step": 10938 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.5156, + "step": 10939 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.4507, + "step": 10940 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.4684, + "step": 10941 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.5455, + "step": 10942 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.4685, + "step": 10943 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.4448, + "step": 10944 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.5096, + "step": 10945 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.4015, + "step": 10946 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.4606, + "step": 10947 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.5113, + "step": 10948 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.3978, + "step": 10949 + }, + { + "epoch": 2.76, + "learning_rate": 0.0002, + "loss": 0.5782, + "step": 10950 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.5041, + "step": 10951 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.5354, + "step": 10952 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.6747, + "step": 10953 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.4999, + "step": 10954 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.4746, + "step": 10955 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.3748, + "step": 10956 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.6271, + "step": 10957 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.4661, + "step": 10958 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.5449, + "step": 10959 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.4019, + "step": 10960 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.5165, + "step": 10961 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.4981, + "step": 10962 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.4252, + "step": 10963 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.5078, + "step": 10964 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.4488, + "step": 10965 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.592, + "step": 10966 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.4593, + "step": 10967 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.4172, + "step": 10968 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.5064, + "step": 10969 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.5211, + "step": 10970 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.569, + "step": 10971 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.399, + "step": 10972 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.4654, + "step": 10973 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.4534, + "step": 10974 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.5524, + "step": 10975 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.4391, + "step": 10976 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.3558, + "step": 10977 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.4696, + "step": 10978 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.401, + "step": 10979 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.5614, + "step": 10980 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.4943, + "step": 10981 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.443, + "step": 10982 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.4304, + "step": 10983 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.4851, + "step": 10984 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.5001, + "step": 10985 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.3543, + "step": 10986 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.5999, + "step": 10987 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.4993, + "step": 10988 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.4353, + "step": 10989 + }, + { + "epoch": 2.77, + "learning_rate": 0.0002, + "loss": 0.5423, + "step": 10990 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.4282, + "step": 10991 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.6115, + "step": 10992 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.4187, + "step": 10993 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.446, + "step": 10994 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.6744, + "step": 10995 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.3662, + "step": 10996 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.4616, + "step": 10997 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.3989, + "step": 10998 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.4782, + "step": 10999 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.4709, + "step": 11000 + }, + { + "epoch": 2.78, + "eval_loss": 0.7366335391998291, + "eval_runtime": 95.1249, + "eval_samples_per_second": 10.512, + "eval_steps_per_second": 5.256, + "step": 11000 + }, + { + "epoch": 2.78, + "mmlu_eval_accuracy": 0.5156799918610298, + "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, + "mmlu_eval_accuracy_anatomy": 0.35714285714285715, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "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": 0.2727272727272727, + "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": 0.3333333333333333, + "mmlu_eval_accuracy_electrical_engineering": 0.3125, + "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": 0.2727272727272727, + "mmlu_eval_accuracy_high_school_computer_science": 0.3333333333333333, + "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.4883720930232558, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464, + "mmlu_eval_accuracy_high_school_physics": 0.29411764705882354, + "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_statistics": 0.4782608695652174, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, + "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": 0.5454545454545454, + "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": 0.7209302325581395, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.33, + "mmlu_eval_accuracy_nutrition": 0.5454545454545454, + "mmlu_eval_accuracy_philosophy": 0.6176470588235294, + "mmlu_eval_accuracy_prehistory": 0.45714285714285713, + "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, + "mmlu_eval_accuracy_professional_law": 0.34705882352941175, + "mmlu_eval_accuracy_professional_medicine": 0.7096774193548387, + "mmlu_eval_accuracy_professional_psychology": 0.5362318840579711, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.48148148148148145, + "mmlu_eval_accuracy_sociology": 0.7272727272727273, + "mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.6842105263157895, + "mmlu_loss": 1.4148195131679429, + "step": 11000 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.587, + "step": 11001 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.4446, + "step": 11002 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.4611, + "step": 11003 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.4295, + "step": 11004 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.53, + "step": 11005 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.3358, + "step": 11006 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.4762, + "step": 11007 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.3742, + "step": 11008 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.3872, + "step": 11009 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.544, + "step": 11010 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.3868, + "step": 11011 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.486, + "step": 11012 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.5246, + "step": 11013 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.4737, + "step": 11014 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.3892, + "step": 11015 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.428, + "step": 11016 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.4793, + "step": 11017 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.4814, + "step": 11018 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.4579, + "step": 11019 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.4734, + "step": 11020 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.4369, + "step": 11021 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.2988, + "step": 11022 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.5322, + "step": 11023 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.5126, + "step": 11024 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.4672, + "step": 11025 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.2888, + "step": 11026 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.4194, + "step": 11027 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.398, + "step": 11028 + }, + { + "epoch": 2.78, + "learning_rate": 0.0002, + "loss": 0.4958, + "step": 11029 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.4794, + "step": 11030 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.5507, + "step": 11031 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.3912, + "step": 11032 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.4495, + "step": 11033 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.475, + "step": 11034 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.5661, + "step": 11035 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.5849, + "step": 11036 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.3812, + "step": 11037 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.3923, + "step": 11038 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.543, + "step": 11039 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.4104, + "step": 11040 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.3672, + "step": 11041 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.501, + "step": 11042 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.5161, + "step": 11043 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.5733, + "step": 11044 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.4535, + "step": 11045 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.5015, + "step": 11046 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.4919, + "step": 11047 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.322, + "step": 11048 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.4251, + "step": 11049 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.5369, + "step": 11050 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.4931, + "step": 11051 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.4897, + "step": 11052 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.4048, + "step": 11053 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.6953, + "step": 11054 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.4568, + "step": 11055 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.4251, + "step": 11056 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.4119, + "step": 11057 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.5772, + "step": 11058 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.4478, + "step": 11059 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.3914, + "step": 11060 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.3893, + "step": 11061 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.4787, + "step": 11062 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.3754, + "step": 11063 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.6866, + "step": 11064 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.5434, + "step": 11065 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.4899, + "step": 11066 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.4879, + "step": 11067 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.6033, + "step": 11068 + }, + { + "epoch": 2.79, + "learning_rate": 0.0002, + "loss": 0.5203, + "step": 11069 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.547, + "step": 11070 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.4622, + "step": 11071 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.4041, + "step": 11072 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.3527, + "step": 11073 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.4727, + "step": 11074 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.4206, + "step": 11075 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.5747, + "step": 11076 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.563, + "step": 11077 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.4832, + "step": 11078 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.6693, + "step": 11079 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.4958, + "step": 11080 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.4807, + "step": 11081 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.532, + "step": 11082 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.3671, + "step": 11083 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.3374, + "step": 11084 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.5944, + "step": 11085 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.4018, + "step": 11086 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.5649, + "step": 11087 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.5081, + "step": 11088 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.5323, + "step": 11089 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.7012, + "step": 11090 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.4559, + "step": 11091 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.3501, + "step": 11092 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.4448, + "step": 11093 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.5214, + "step": 11094 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.5567, + "step": 11095 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.4569, + "step": 11096 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.502, + "step": 11097 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.4385, + "step": 11098 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.5439, + "step": 11099 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.4247, + "step": 11100 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.4452, + "step": 11101 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.5112, + "step": 11102 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.4126, + "step": 11103 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.4789, + "step": 11104 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.514, + "step": 11105 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.5349, + "step": 11106 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.4597, + "step": 11107 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.4293, + "step": 11108 + }, + { + "epoch": 2.8, + "learning_rate": 0.0002, + "loss": 0.4935, + "step": 11109 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.427, + "step": 11110 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.4082, + "step": 11111 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.5128, + "step": 11112 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.4469, + "step": 11113 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.452, + "step": 11114 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.5629, + "step": 11115 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.3543, + "step": 11116 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.4652, + "step": 11117 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.3328, + "step": 11118 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.4829, + "step": 11119 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.541, + "step": 11120 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.5168, + "step": 11121 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.3892, + "step": 11122 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.5498, + "step": 11123 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.4153, + "step": 11124 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.5166, + "step": 11125 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.4701, + "step": 11126 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.3799, + "step": 11127 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.4043, + "step": 11128 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.4528, + "step": 11129 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.4211, + "step": 11130 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.4499, + "step": 11131 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.4901, + "step": 11132 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.4398, + "step": 11133 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.4331, + "step": 11134 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.5404, + "step": 11135 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.3862, + "step": 11136 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.5198, + "step": 11137 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.5435, + "step": 11138 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.4668, + "step": 11139 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.4077, + "step": 11140 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.4307, + "step": 11141 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.4271, + "step": 11142 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.6998, + "step": 11143 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.6012, + "step": 11144 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.5136, + "step": 11145 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.3991, + "step": 11146 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.3762, + "step": 11147 + }, + { + "epoch": 2.81, + "learning_rate": 0.0002, + "loss": 0.3933, + "step": 11148 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.428, + "step": 11149 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.4713, + "step": 11150 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.4183, + "step": 11151 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.4243, + "step": 11152 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.3834, + "step": 11153 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.5354, + "step": 11154 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.5214, + "step": 11155 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.4534, + "step": 11156 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.4778, + "step": 11157 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.5689, + "step": 11158 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.5006, + "step": 11159 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.5023, + "step": 11160 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.5114, + "step": 11161 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.4047, + "step": 11162 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.5061, + "step": 11163 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.5422, + "step": 11164 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.5102, + "step": 11165 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.5277, + "step": 11166 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.4817, + "step": 11167 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.4079, + "step": 11168 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.5983, + "step": 11169 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.4678, + "step": 11170 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.3648, + "step": 11171 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.4478, + "step": 11172 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.5177, + "step": 11173 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.5436, + "step": 11174 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.5376, + "step": 11175 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.4846, + "step": 11176 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.4859, + "step": 11177 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.5816, + "step": 11178 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.3845, + "step": 11179 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.4967, + "step": 11180 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.3844, + "step": 11181 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.5036, + "step": 11182 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.538, + "step": 11183 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.4746, + "step": 11184 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.3645, + "step": 11185 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.4262, + "step": 11186 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.5061, + "step": 11187 + }, + { + "epoch": 2.82, + "learning_rate": 0.0002, + "loss": 0.5522, + "step": 11188 + }, + { + "epoch": 2.83, + "learning_rate": 0.0002, + "loss": 0.4119, + "step": 11189 + }, + { + "epoch": 2.83, + "learning_rate": 0.0002, + "loss": 0.4927, + "step": 11190 + }, + { + "epoch": 2.83, + "learning_rate": 0.0002, + "loss": 0.5022, + "step": 11191 + }, + { + "epoch": 2.83, + "learning_rate": 0.0002, + "loss": 0.5015, + "step": 11192 + }, + { + "epoch": 2.83, + "learning_rate": 0.0002, + "loss": 0.6222, + "step": 11193 + }, + { + "epoch": 2.83, + "learning_rate": 0.0002, + "loss": 0.401, + "step": 11194 + }, + { + "epoch": 2.83, + "learning_rate": 0.0002, + "loss": 0.4599, + "step": 11195 + }, + { + "epoch": 2.83, + "learning_rate": 0.0002, + "loss": 0.5113, + "step": 11196 + }, + { + "epoch": 2.83, + "learning_rate": 0.0002, + "loss": 0.4391, + "step": 11197 + }, + { + "epoch": 2.83, + "learning_rate": 0.0002, + "loss": 0.546, + "step": 11198 + }, + { + "epoch": 2.83, + "learning_rate": 0.0002, + "loss": 0.4043, + "step": 11199 + }, + { + "epoch": 2.83, + "learning_rate": 0.0002, + "loss": 0.3852, + "step": 11200 + }, + { + "epoch": 2.83, + "eval_loss": 0.7381773591041565, + "eval_runtime": 95.3501, + "eval_samples_per_second": 10.488, + "eval_steps_per_second": 5.244, + "step": 11200 + }, + { + "epoch": 2.83, + "mmlu_eval_accuracy": 0.5037461252571489, + "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655, + "mmlu_eval_accuracy_college_biology": 0.5, + "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": 0.5, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.6363636363636364, + "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156, + "mmlu_eval_accuracy_econometrics": 0.25, + "mmlu_eval_accuracy_electrical_engineering": 0.25, + "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": 0.4375, + "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727, + "mmlu_eval_accuracy_high_school_computer_science": 0.3333333333333333, + "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": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.4186046511627907, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "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": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.5769230769230769, + "mmlu_eval_accuracy_human_aging": 0.6521739130434783, + "mmlu_eval_accuracy_human_sexuality": 0.25, + "mmlu_eval_accuracy_international_law": 0.7692307692307693, + "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": 0.7093023255813954, + "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, + "mmlu_eval_accuracy_moral_scenarios": 0.36, + "mmlu_eval_accuracy_nutrition": 0.5757575757575758, + "mmlu_eval_accuracy_philosophy": 0.5882352941176471, + "mmlu_eval_accuracy_prehistory": 0.45714285714285713, + "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, + "mmlu_eval_accuracy_professional_law": 0.3588235294117647, + "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, + "mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, + "mmlu_eval_accuracy_public_relations": 0.5833333333333334, + "mmlu_eval_accuracy_security_studies": 0.5185185185185185, + "mmlu_eval_accuracy_sociology": 0.6818181818181818, + "mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454, + "mmlu_eval_accuracy_virology": 0.4444444444444444, + "mmlu_eval_accuracy_world_religions": 0.631578947368421, + "mmlu_loss": 1.3524017293716224, + "step": 11200 + } + ], + "logging_steps": 1, + "max_steps": 11880, + "num_train_epochs": 3, + "save_steps": 200, + "total_flos": 1.3268768896558694e+18, + "trial_name": null, + "trial_params": null +}