diff --git "a/checkpoint-1000/trainer_state.json" "b/checkpoint-1000/trainer_state.json" --- "a/checkpoint-1000/trainer_state.json" +++ "b/checkpoint-1000/trainer_state.json" @@ -1,7 +1,7 @@ { - "best_metric": 0.7300029397010803, - "best_model_checkpoint": "experts/mistralic-expert-15/checkpoint-1000", - "epoch": 0.32859607327692436, + "best_metric": 0.7511235475540161, + "best_model_checkpoint": "experts/mistralic-expert-15/checkpoint-600", + "epoch": 0.1643047853768741, "eval_steps": 200, "global_step": 1000, "is_hyper_param_search": false, @@ -11,964 +11,6364 @@ { "epoch": 0.0, "learning_rate": 0.0002, - "loss": 0.8512, + "loss": 0.8743, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 1.0512, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 1.0398, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.8428, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.8539, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6822, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7817, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.8251, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.641, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.9213, "step": 10 }, { - "epoch": 0.01, + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.8051, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.9494, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7953, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6879, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7866, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7557, + "step": 16 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6147, + "step": 17 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7999, + "step": 18 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.9288, + "step": 19 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6545, + "step": 20 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6837, + "step": 21 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.8564, + "step": 22 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6611, + "step": 23 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6956, + "step": 24 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.5079, + "step": 25 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.6142, + "step": 26 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7226, + "step": 27 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7037, + "step": 28 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.8852, + "step": 29 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.7209, + "step": 30 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8991, + "step": 31 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5839, + "step": 32 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6147, + "step": 33 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9075, + "step": 34 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6618, + "step": 35 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8367, + "step": 36 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7012, + "step": 37 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9249, + "step": 38 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5889, + "step": 39 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8997, + "step": 40 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7283, + "step": 41 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8314, + "step": 42 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7005, + "step": 43 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5693, + "step": 44 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8334, + "step": 45 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9775, + "step": 46 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7298, + "step": 47 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9334, + "step": 48 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7225, + "step": 49 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8088, + "step": 50 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7466, + "step": 51 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.4508, + "step": 52 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.4574, + "step": 53 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6886, + "step": 54 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7615, + "step": 55 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5989, + "step": 56 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.0519, + "step": 57 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9321, + "step": 58 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6666, + "step": 59 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5781, + "step": 60 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9561, + "step": 61 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5952, + "step": 62 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7159, + "step": 63 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6358, + "step": 64 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.4376, + "step": 65 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6991, + "step": 66 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6598, + "step": 67 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7651, + "step": 68 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7757, + "step": 69 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7273, + "step": 70 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8523, + "step": 71 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6573, + "step": 72 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5618, + "step": 73 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6906, + "step": 74 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7202, + "step": 75 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8629, + "step": 76 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6166, + "step": 77 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8685, + "step": 78 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8057, + "step": 79 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8424, + "step": 80 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9356, + "step": 81 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8011, + "step": 82 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5423, + "step": 83 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6254, + "step": 84 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7161, + "step": 85 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6061, + "step": 86 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5743, + "step": 87 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.609, + "step": 88 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7292, + "step": 89 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9335, + "step": 90 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.678, + "step": 91 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7919, + "step": 92 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6743, + "step": 93 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9325, + "step": 94 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6499, + "step": 95 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5631, + "step": 96 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8618, + "step": 97 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.683, + "step": 98 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.635, + "step": 99 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7615, + "step": 100 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8628, + "step": 101 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7456, + "step": 102 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8235, + "step": 103 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.916, + "step": 104 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.0372, + "step": 105 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9372, + "step": 106 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6709, + "step": 107 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.1999, + "step": 108 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7315, + "step": 109 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7147, + "step": 110 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6933, + "step": 111 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.844, + "step": 112 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7172, + "step": 113 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7477, + "step": 114 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.835, + "step": 115 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.0017, + "step": 116 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5665, + "step": 117 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6992, + "step": 118 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9693, + "step": 119 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.574, + "step": 120 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8181, + "step": 121 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6321, + "step": 122 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.85, + "step": 123 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6986, + "step": 124 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7242, + "step": 125 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7909, + "step": 126 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7143, + "step": 127 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5493, + "step": 128 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7625, + "step": 129 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7199, + "step": 130 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3807, + "step": 131 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.322, + "step": 132 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.582, + "step": 133 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.575, + "step": 134 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8918, + "step": 135 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.1352, + "step": 136 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9177, + "step": 137 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9293, + "step": 138 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5509, + "step": 139 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9554, + "step": 140 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5094, + "step": 141 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5929, + "step": 142 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9733, + "step": 143 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5117, + "step": 144 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6024, + "step": 145 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6401, + "step": 146 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.924, + "step": 147 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9399, + "step": 148 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.972, + "step": 149 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.6407, + "step": 150 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8665, + "step": 151 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7225, + "step": 152 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6445, + "step": 153 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7775, + "step": 154 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7517, + "step": 155 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9464, + "step": 156 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.5912, + "step": 157 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6161, + "step": 158 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8201, + "step": 159 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6348, + "step": 160 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.0841, + "step": 161 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8405, + "step": 162 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9317, + "step": 163 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7158, + "step": 164 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9286, + "step": 165 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9918, + "step": 166 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9909, + "step": 167 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7513, + "step": 168 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8818, + "step": 169 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8644, + "step": 170 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7351, + "step": 171 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7574, + "step": 172 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6465, + "step": 173 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7679, + "step": 174 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8849, + "step": 175 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.0791, + "step": 176 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8741, + "step": 177 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7822, + "step": 178 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8417, + "step": 179 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7317, + "step": 180 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.0245, + "step": 181 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6746, + "step": 182 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6059, + "step": 183 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9795, + "step": 184 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9011, + "step": 185 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6384, + "step": 186 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7801, + "step": 187 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.81, + "step": 188 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8018, + "step": 189 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6842, + "step": 190 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7468, + "step": 191 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8598, + "step": 192 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9457, + "step": 193 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.5614, + "step": 194 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6668, + "step": 195 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8057, + "step": 196 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6429, + "step": 197 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6506, + "step": 198 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8127, + "step": 199 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9115, + "step": 200 + }, + { + "epoch": 0.03, + "eval_loss": 0.7577090859413147, + "eval_runtime": 131.6982, + "eval_samples_per_second": 7.593, + "eval_steps_per_second": 3.797, + "step": 200 + }, + { + "epoch": 0.03, + "mmlu_eval_accuracy": 0.5965101027344765, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.75, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, + "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": 0.36363636363636365, + "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": 0.5625, + "mmlu_eval_accuracy_elementary_mathematics": 0.4878048780487805, + "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.5625, + "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": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.6511627906976745, + "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, + "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, + "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "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": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.34, + "mmlu_eval_accuracy_nutrition": 0.7272727272727273, + "mmlu_eval_accuracy_philosophy": 0.7647058823529411, + "mmlu_eval_accuracy_prehistory": 0.6, + "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, + "mmlu_eval_accuracy_professional_law": 0.4, + "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, + "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.6666666666666666, + "mmlu_eval_accuracy_sociology": 0.9090909090909091, + "mmlu_eval_accuracy_us_foreign_policy": 0.9090909090909091, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 1.1431999449708132, + "step": 200 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6858, + "step": 201 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.4792, + "step": 202 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9803, + "step": 203 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9486, + "step": 204 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7161, + "step": 205 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.635, + "step": 206 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.4869, + "step": 207 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6713, + "step": 208 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.6963, + "step": 209 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.7726, + "step": 210 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.0783, + "step": 211 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9185, + "step": 212 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.812, + "step": 213 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9379, + "step": 214 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9187, + "step": 215 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6081, + "step": 216 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7071, + "step": 217 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7934, + "step": 218 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7151, + "step": 219 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8808, + "step": 220 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6993, + "step": 221 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8453, + "step": 222 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7213, + "step": 223 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6957, + "step": 224 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9296, + "step": 225 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7856, + "step": 226 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.5761, + "step": 227 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8645, + "step": 228 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6516, + "step": 229 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8441, + "step": 230 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3882, + "step": 231 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0478, + "step": 232 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8387, + "step": 233 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7188, + "step": 234 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9145, + "step": 235 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8007, + "step": 236 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8292, + "step": 237 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.5326, + "step": 238 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.4012, + "step": 239 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9156, + "step": 240 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6651, + "step": 241 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9193, + "step": 242 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7638, + "step": 243 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6298, + "step": 244 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7544, + "step": 245 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7319, + "step": 246 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.807, + "step": 247 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7104, + "step": 248 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8149, + "step": 249 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.534, + "step": 250 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7246, + "step": 251 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7361, + "step": 252 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7693, + "step": 253 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8553, + "step": 254 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6042, + "step": 255 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6617, + "step": 256 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7081, + "step": 257 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7198, + "step": 258 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8238, + "step": 259 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7848, + "step": 260 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8787, + "step": 261 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8322, + "step": 262 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0992, + "step": 263 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7046, + "step": 264 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.4757, + "step": 265 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.4978, + "step": 266 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8656, + "step": 267 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8534, + "step": 268 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0157, + "step": 269 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.6066, + "step": 270 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8877, + "step": 271 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8856, + "step": 272 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8631, + "step": 273 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.0294, + "step": 274 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.596, + "step": 275 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8029, + "step": 276 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6784, + "step": 277 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8277, + "step": 278 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9855, + "step": 279 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7293, + "step": 280 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8036, + "step": 281 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8581, + "step": 282 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6941, + "step": 283 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9493, + "step": 284 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9682, + "step": 285 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7554, + "step": 286 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8585, + "step": 287 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.5798, + "step": 288 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.814, + "step": 289 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7303, + "step": 290 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7244, + "step": 291 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7552, + "step": 292 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.0223, + "step": 293 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7623, + "step": 294 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7383, + "step": 295 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.5089, + "step": 296 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.4504, + "step": 297 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.2205, + "step": 298 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9076, + "step": 299 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9371, + "step": 300 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.1473, + "step": 301 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8726, + "step": 302 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7765, + "step": 303 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7015, + "step": 304 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7357, + "step": 305 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.1318, + "step": 306 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7922, + "step": 307 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7434, + "step": 308 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9389, + "step": 309 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.0817, + "step": 310 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6492, + "step": 311 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8057, + "step": 312 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8286, + "step": 313 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7106, + "step": 314 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9558, + "step": 315 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7318, + "step": 316 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.0106, + "step": 317 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.923, + "step": 318 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8891, + "step": 319 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7447, + "step": 320 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7532, + "step": 321 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7922, + "step": 322 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6687, + "step": 323 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6815, + "step": 324 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9777, + "step": 325 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.7946, + "step": 326 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6075, + "step": 327 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8379, + "step": 328 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6908, + "step": 329 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6723, + "step": 330 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6847, + "step": 331 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9873, + "step": 332 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6398, + "step": 333 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6382, + "step": 334 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5199, + "step": 335 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6147, + "step": 336 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6788, + "step": 337 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7803, + "step": 338 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8861, + "step": 339 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6744, + "step": 340 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6291, + "step": 341 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8696, + "step": 342 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8301, + "step": 343 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7515, + "step": 344 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6998, + "step": 345 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6413, + "step": 346 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6048, + "step": 347 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9201, + "step": 348 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7271, + "step": 349 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8123, + "step": 350 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7396, + "step": 351 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6787, + "step": 352 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7128, + "step": 353 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7682, + "step": 354 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.4681, + "step": 355 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7411, + "step": 356 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6903, + "step": 357 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.054, + "step": 358 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.0388, + "step": 359 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5839, + "step": 360 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9394, + "step": 361 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8511, + "step": 362 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7703, + "step": 363 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8453, + "step": 364 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8057, + "step": 365 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7747, + "step": 366 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7674, + "step": 367 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7861, + "step": 368 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7925, + "step": 369 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.951, + "step": 370 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9278, + "step": 371 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.781, + "step": 372 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6763, + "step": 373 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5281, + "step": 374 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5816, + "step": 375 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9666, + "step": 376 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5588, + "step": 377 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.0995, + "step": 378 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.2138, + "step": 379 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8365, + "step": 380 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6347, + "step": 381 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7131, + "step": 382 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7783, + "step": 383 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5475, + "step": 384 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6053, + "step": 385 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9546, + "step": 386 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9732, + "step": 387 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.621, + "step": 388 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6031, + "step": 389 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.6867, + "step": 390 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8615, + "step": 391 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9171, + "step": 392 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.678, + "step": 393 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.881, + "step": 394 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.435, + "step": 395 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7515, + "step": 396 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7088, + "step": 397 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8921, + "step": 398 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7842, + "step": 399 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7468, + "step": 400 + }, + { + "epoch": 0.07, + "eval_loss": 0.7549907565116882, + "eval_runtime": 131.6241, + "eval_samples_per_second": 7.597, + "eval_steps_per_second": 3.799, + "step": 400 + }, + { + "epoch": 0.07, + "mmlu_eval_accuracy": 0.5905395038007227, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.8125, + "mmlu_eval_accuracy_business_ethics": 0.8181818181818182, + "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552, + "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": 0.6363636363636364, + "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": 0.5833333333333334, + "mmlu_eval_accuracy_electrical_engineering": 0.6875, + "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, + "mmlu_eval_accuracy_global_facts": 0.5, + "mmlu_eval_accuracy_high_school_biology": 0.59375, + "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": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, + "mmlu_eval_accuracy_high_school_mathematics": 0.3793103448275862, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.7833333333333333, + "mmlu_eval_accuracy_high_school_statistics": 0.5217391304347826, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154, + "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": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.7222222222222222, + "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7674418604651163, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.34, + "mmlu_eval_accuracy_nutrition": 0.6060606060606061, + "mmlu_eval_accuracy_philosophy": 0.7352941176470589, + "mmlu_eval_accuracy_prehistory": 0.4857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, + "mmlu_eval_accuracy_professional_law": 0.38235294117647056, + "mmlu_eval_accuracy_professional_medicine": 0.6774193548387096, + "mmlu_eval_accuracy_professional_psychology": 0.5652173913043478, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.8636363636363636, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.5, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 1.1786961650412637, + "step": 400 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8926, + "step": 401 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8226, + "step": 402 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7972, + "step": 403 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9732, + "step": 404 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8672, + "step": 405 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3649, + "step": 406 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9201, + "step": 407 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9357, + "step": 408 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8635, + "step": 409 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6937, + "step": 410 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.3983, + "step": 411 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7475, + "step": 412 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6109, + "step": 413 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6539, + "step": 414 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6245, + "step": 415 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8199, + "step": 416 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9231, + "step": 417 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.739, + "step": 418 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9367, + "step": 419 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.71, + "step": 420 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7856, + "step": 421 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6392, + "step": 422 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9306, + "step": 423 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7466, + "step": 424 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7127, + "step": 425 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6587, + "step": 426 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6164, + "step": 427 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7736, + "step": 428 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.016, + "step": 429 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7706, + "step": 430 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9474, + "step": 431 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7483, + "step": 432 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.811, + "step": 433 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7163, + "step": 434 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9745, + "step": 435 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7279, + "step": 436 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9218, + "step": 437 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8183, + "step": 438 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8229, + "step": 439 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7518, + "step": 440 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7858, + "step": 441 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.0076, + "step": 442 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9241, + "step": 443 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8994, + "step": 444 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.438, + "step": 445 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7214, + "step": 446 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.5063, + "step": 447 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6436, + "step": 448 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.6496, + "step": 449 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7387, + "step": 450 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.824, + "step": 451 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.5313, + "step": 452 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7908, + "step": 453 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8242, + "step": 454 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8876, + "step": 455 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7456, + "step": 456 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.752, + "step": 457 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.4918, + "step": 458 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.855, + "step": 459 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8322, + "step": 460 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7973, + "step": 461 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9598, + "step": 462 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.791, + "step": 463 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5249, + "step": 464 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6198, + "step": 465 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6606, + "step": 466 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7283, + "step": 467 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8863, + "step": 468 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6965, + "step": 469 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7057, + "step": 470 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8994, + "step": 471 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6775, + "step": 472 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5412, + "step": 473 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9663, + "step": 474 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9682, + "step": 475 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9535, + "step": 476 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7155, + "step": 477 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8014, + "step": 478 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8144, + "step": 479 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.713, + "step": 480 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6225, + "step": 481 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7206, + "step": 482 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5586, + "step": 483 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8996, + "step": 484 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7745, + "step": 485 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9241, + "step": 486 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7356, + "step": 487 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6449, + "step": 488 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7228, + "step": 489 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6462, + "step": 490 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8052, + "step": 491 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9312, + "step": 492 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7832, + "step": 493 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8995, + "step": 494 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7184, + "step": 495 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7811, + "step": 496 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8659, + "step": 497 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7348, + "step": 498 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7742, + "step": 499 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8397, + "step": 500 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6825, + "step": 501 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8492, + "step": 502 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.0731, + "step": 503 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.669, + "step": 504 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.6464, + "step": 505 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9044, + "step": 506 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.174, + "step": 507 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9606, + "step": 508 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.0218, + "step": 509 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5801, + "step": 510 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.0433, + "step": 511 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8027, + "step": 512 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.0204, + "step": 513 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9669, + "step": 514 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5325, + "step": 515 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.0595, + "step": 516 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.002, + "step": 517 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8445, + "step": 518 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8647, + "step": 519 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7309, + "step": 520 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.5321, + "step": 521 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7862, + "step": 522 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8507, + "step": 523 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9764, + "step": 524 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.5889, + "step": 525 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6066, + "step": 526 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7368, + "step": 527 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.0567, + "step": 528 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8779, + "step": 529 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.0253, + "step": 530 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8322, + "step": 531 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6848, + "step": 532 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.5222, + "step": 533 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7199, + "step": 534 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8765, + "step": 535 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8593, + "step": 536 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8867, + "step": 537 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6727, + "step": 538 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6709, + "step": 539 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8352, + "step": 540 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.0596, + "step": 541 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7518, + "step": 542 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.57, + "step": 543 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7398, + "step": 544 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9338, + "step": 545 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7498, + "step": 546 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6023, + "step": 547 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8713, + "step": 548 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8121, + "step": 549 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.2485, + "step": 550 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8921, + "step": 551 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9471, + "step": 552 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.4399, + "step": 553 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7338, + "step": 554 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8261, + "step": 555 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7494, + "step": 556 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7305, + "step": 557 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9084, + "step": 558 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7184, + "step": 559 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7275, + "step": 560 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8692, + "step": 561 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8769, + "step": 562 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7692, + "step": 563 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9968, + "step": 564 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6536, + "step": 565 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7829, + "step": 566 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7614, + "step": 567 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8699, + "step": 568 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8991, + "step": 569 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6783, + "step": 570 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7599, + "step": 571 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6944, + "step": 572 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.748, + "step": 573 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6174, + "step": 574 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6199, + "step": 575 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8565, + "step": 576 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9175, + "step": 577 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.578, + "step": 578 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7151, + "step": 579 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7445, + "step": 580 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6315, + "step": 581 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7391, + "step": 582 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8364, + "step": 583 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5496, + "step": 584 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7928, + "step": 585 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8136, + "step": 586 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5404, + "step": 587 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6769, + "step": 588 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6331, + "step": 589 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5495, + "step": 590 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7055, + "step": 591 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.0395, + "step": 592 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8604, + "step": 593 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8628, + "step": 594 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.4613, + "step": 595 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7412, + "step": 596 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9055, + "step": 597 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5592, + "step": 598 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.0462, + "step": 599 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7479, + "step": 600 + }, + { + "epoch": 0.1, + "eval_loss": 0.7511235475540161, + "eval_runtime": 131.6743, + "eval_samples_per_second": 7.594, + "eval_steps_per_second": 3.797, + "step": 600 + }, + { + "epoch": 0.1, + "mmlu_eval_accuracy": 0.5854937013814044, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.75, + "mmlu_eval_accuracy_business_ethics": 0.8181818181818182, + "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": 0.2727272727272727, + "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, + "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": 0.5384615384615384, + "mmlu_eval_accuracy_econometrics": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.6875, + "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": 0.5, + "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.6511627906976745, + "mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, + "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": 0.782608695652174, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.8461538461538461, + "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "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": 0.24, + "mmlu_eval_accuracy_nutrition": 0.7272727272727273, + "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": 0.6129032258064516, + "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.6666666666666666, + "mmlu_eval_accuracy_sociology": 0.8636363636363636, + "mmlu_eval_accuracy_us_foreign_policy": 0.9090909090909091, + "mmlu_eval_accuracy_virology": 0.6111111111111112, + "mmlu_eval_accuracy_world_religions": 0.8947368421052632, + "mmlu_loss": 0.8422373449697351, + "step": 600 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7688, + "step": 601 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8277, + "step": 602 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9892, + "step": 603 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.882, + "step": 604 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5368, + "step": 605 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6269, + "step": 606 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5438, + "step": 607 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5921, + "step": 608 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8068, + "step": 609 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8916, + "step": 610 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7217, + "step": 611 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9221, + "step": 612 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8893, + "step": 613 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6156, + "step": 614 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8421, + "step": 615 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7934, + "step": 616 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9781, + "step": 617 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8513, + "step": 618 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7201, + "step": 619 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9233, + "step": 620 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6561, + "step": 621 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7198, + "step": 622 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8383, + "step": 623 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8131, + "step": 624 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7621, + "step": 625 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9067, + "step": 626 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.0717, + "step": 627 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7355, + "step": 628 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.0598, + "step": 629 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8181, + "step": 630 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8185, + "step": 631 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8387, + "step": 632 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6738, + "step": 633 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.2803, + "step": 634 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7685, + "step": 635 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7091, + "step": 636 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.779, + "step": 637 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.6472, + "step": 638 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7769, + "step": 639 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6087, + "step": 640 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8182, + "step": 641 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5228, + "step": 642 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3634, + "step": 643 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8811, + "step": 644 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9722, + "step": 645 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7217, + "step": 646 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7172, + "step": 647 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.0123, + "step": 648 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.171, + "step": 649 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8549, + "step": 650 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9442, + "step": 651 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8082, + "step": 652 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5462, + "step": 653 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7786, + "step": 654 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5764, + "step": 655 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5766, + "step": 656 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.2254, + "step": 657 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7426, + "step": 658 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7231, + "step": 659 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9842, + "step": 660 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8422, + "step": 661 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.785, + "step": 662 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7621, + "step": 663 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8803, + "step": 664 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8239, + "step": 665 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8327, + "step": 666 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9772, + "step": 667 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8029, + "step": 668 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5865, + "step": 669 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8794, + "step": 670 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8821, + "step": 671 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7357, + "step": 672 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6092, + "step": 673 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7127, + "step": 674 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7141, + "step": 675 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7687, + "step": 676 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9527, + "step": 677 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8083, + "step": 678 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.4753, + "step": 679 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7073, + "step": 680 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5191, + "step": 681 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6506, + "step": 682 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6917, + "step": 683 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6707, + "step": 684 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6223, + "step": 685 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7281, + "step": 686 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8363, + "step": 687 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8984, + "step": 688 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.0086, + "step": 689 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8176, + "step": 690 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6743, + "step": 691 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7653, + "step": 692 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.908, + "step": 693 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8402, + "step": 694 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8425, + "step": 695 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.767, + "step": 696 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8191, + "step": 697 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5398, + "step": 698 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6728, + "step": 699 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8391, + "step": 700 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7766, + "step": 701 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6116, + "step": 702 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9081, + "step": 703 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6774, + "step": 704 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8251, + "step": 705 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9524, + "step": 706 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.535, + "step": 707 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6306, + "step": 708 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9171, + "step": 709 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9689, + "step": 710 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9917, + "step": 711 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8348, + "step": 712 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.587, + "step": 713 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5918, + "step": 714 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7032, + "step": 715 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8926, + "step": 716 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6812, + "step": 717 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.828, + "step": 718 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7452, + "step": 719 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6744, + "step": 720 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8305, + "step": 721 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6471, + "step": 722 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5812, + "step": 723 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5891, + "step": 724 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.94, + "step": 725 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7092, + "step": 726 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7654, + "step": 727 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.828, + "step": 728 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7061, + "step": 729 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5904, + "step": 730 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8591, + "step": 731 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9372, + "step": 732 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8514, + "step": 733 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8774, + "step": 734 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9201, + "step": 735 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8356, + "step": 736 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8392, + "step": 737 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7399, + "step": 738 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5375, + "step": 739 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8915, + "step": 740 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7966, + "step": 741 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6087, + "step": 742 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6648, + "step": 743 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.0216, + "step": 744 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9432, + "step": 745 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6548, + "step": 746 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8015, + "step": 747 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7979, + "step": 748 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6144, + "step": 749 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6494, + "step": 750 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8614, + "step": 751 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.948, + "step": 752 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7197, + "step": 753 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8588, + "step": 754 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9157, + "step": 755 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8928, + "step": 756 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7218, + "step": 757 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9789, + "step": 758 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6592, + "step": 759 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.6305, + "step": 760 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.866, + "step": 761 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7438, + "step": 762 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6438, + "step": 763 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.0191, + "step": 764 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7692, + "step": 765 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6723, + "step": 766 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8188, + "step": 767 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6793, + "step": 768 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8244, + "step": 769 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9137, + "step": 770 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7096, + "step": 771 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8164, + "step": 772 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7262, + "step": 773 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7389, + "step": 774 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.2896, + "step": 775 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8491, + "step": 776 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8356, + "step": 777 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8435, + "step": 778 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7388, + "step": 779 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.941, + "step": 780 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8939, + "step": 781 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7314, + "step": 782 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7922, + "step": 783 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6946, + "step": 784 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.752, + "step": 785 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.5049, + "step": 786 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7308, + "step": 787 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7585, + "step": 788 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8932, + "step": 789 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.0651, + "step": 790 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.736, + "step": 791 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6819, + "step": 792 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6963, + "step": 793 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9918, + "step": 794 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9083, + "step": 795 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9174, + "step": 796 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8295, + "step": 797 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.004, + "step": 798 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8248, + "step": 799 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.5399, + "step": 800 + }, + { + "epoch": 0.13, + "eval_loss": 0.7548895478248596, + "eval_runtime": 131.5977, + "eval_samples_per_second": 7.599, + "eval_steps_per_second": 3.799, + "step": 800 + }, + { + "epoch": 0.13, + "mmlu_eval_accuracy": 0.5966805174146648, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.5714285714285714, + "mmlu_eval_accuracy_astronomy": 0.625, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "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": 0.45454545454545453, + "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": 0.5384615384615384, + "mmlu_eval_accuracy_econometrics": 0.5, + "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": 0.4, + "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": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.6511627906976745, + "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "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": 0.7727272727272727, + "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": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, + "mmlu_eval_accuracy_management": 0.8181818181818182, + "mmlu_eval_accuracy_marketing": 0.96, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, + "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, + "mmlu_eval_accuracy_moral_scenarios": 0.32, + "mmlu_eval_accuracy_nutrition": 0.7575757575757576, + "mmlu_eval_accuracy_philosophy": 0.6764705882352942, + "mmlu_eval_accuracy_prehistory": 0.4857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.6129032258064516, + "mmlu_eval_accuracy_professional_law": 0.38823529411764707, + "mmlu_eval_accuracy_professional_medicine": 0.6774193548387096, + "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.7407407407407407, + "mmlu_eval_accuracy_sociology": 0.8636363636363636, + "mmlu_eval_accuracy_us_foreign_policy": 0.9090909090909091, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.9473684210526315, + "mmlu_loss": 0.9437568160868189, + "step": 800 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8248, + "step": 801 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7918, + "step": 802 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9041, + "step": 803 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8476, + "step": 804 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7063, + "step": 805 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8846, + "step": 806 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7896, + "step": 807 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.1473, + "step": 808 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6126, + "step": 809 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7253, + "step": 810 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8065, + "step": 811 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9831, + "step": 812 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7944, + "step": 813 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6154, + "step": 814 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7495, + "step": 815 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7081, + "step": 816 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6591, + "step": 817 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.823, + "step": 818 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.7436, + "step": 819 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.6991, + "step": 820 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.0781, + "step": 821 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6746, + "step": 822 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9573, + "step": 823 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5698, + "step": 824 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9445, + "step": 825 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8332, + "step": 826 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7154, + "step": 827 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.676, + "step": 828 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7679, + "step": 829 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5332, + "step": 830 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6207, + "step": 831 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9614, + "step": 832 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8742, + "step": 833 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9492, + "step": 834 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7094, + "step": 835 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.889, + "step": 836 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7355, + "step": 837 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.2038, + "step": 838 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9353, + "step": 839 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.864, + "step": 840 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8414, + "step": 841 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7492, + "step": 842 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8535, + "step": 843 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7975, + "step": 844 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8976, + "step": 845 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9244, + "step": 846 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.797, + "step": 847 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.4536, + "step": 848 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8585, + "step": 849 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.457, + "step": 850 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5783, + "step": 851 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7445, + "step": 852 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6791, + "step": 853 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7751, + "step": 854 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.2038, + "step": 855 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6359, + "step": 856 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.2393, + "step": 857 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6282, + "step": 858 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6458, + "step": 859 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8575, + "step": 860 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7906, + "step": 861 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6737, + "step": 862 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8032, + "step": 863 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5549, + "step": 864 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6854, + "step": 865 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.879, + "step": 866 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5739, + "step": 867 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9231, + "step": 868 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8842, + "step": 869 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7444, + "step": 870 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6666, + "step": 871 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.697, + "step": 872 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7969, + "step": 873 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9802, + "step": 874 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8818, + "step": 875 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6988, + "step": 876 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5309, + "step": 877 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7392, + "step": 878 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9443, + "step": 879 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9115, + "step": 880 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5311, + "step": 881 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9616, + "step": 882 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7202, + "step": 883 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9842, + "step": 884 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8423, + "step": 885 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9754, + "step": 886 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6544, + "step": 887 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7321, + "step": 888 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.6975, + "step": 889 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8439, + "step": 890 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7876, + "step": 891 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 1.0582, + "step": 892 + }, + { + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.7338, - "step": 20 + "loss": 0.7032, + "step": 893 }, { - "epoch": 0.01, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.7805, - "step": 30 + "loss": 0.6425, + "step": 894 }, { - "epoch": 0.01, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.7586, - "step": 40 + "loss": 0.815, + "step": 895 }, { - "epoch": 0.02, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.7571, - "step": 50 + "loss": 0.4249, + "step": 896 }, { - "epoch": 0.02, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8492, - "step": 60 + "loss": 0.6071, + "step": 897 }, { - "epoch": 0.02, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8117, - "step": 70 + "loss": 0.6565, + "step": 898 }, { - "epoch": 0.03, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.7952, - "step": 80 + "loss": 0.8692, + "step": 899 }, { - "epoch": 0.03, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8803, - "step": 90 + "loss": 0.8633, + "step": 900 }, { - "epoch": 0.03, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8204, - "step": 100 + "loss": 0.4776, + "step": 901 }, { - "epoch": 0.04, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.786, - "step": 110 + "loss": 0.6176, + "step": 902 }, { - "epoch": 0.04, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8291, - "step": 120 + "loss": 0.5023, + "step": 903 }, { - "epoch": 0.04, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.7895, - "step": 130 + "loss": 0.683, + "step": 904 }, { - "epoch": 0.05, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8262, - "step": 140 + "loss": 0.6307, + "step": 905 }, { - "epoch": 0.05, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8268, - "step": 150 + "loss": 0.7335, + "step": 906 }, { - "epoch": 0.05, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8834, - "step": 160 + "loss": 0.6745, + "step": 907 }, { - "epoch": 0.06, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.7672, - "step": 170 + "loss": 0.8103, + "step": 908 }, { - "epoch": 0.06, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.7865, - "step": 180 + "loss": 0.8412, + "step": 909 }, { - "epoch": 0.06, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8137, - "step": 190 + "loss": 0.814, + "step": 910 }, { - "epoch": 0.07, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.7671, - "step": 200 + "loss": 0.7424, + "step": 911 }, { - "epoch": 0.07, - "eval_loss": 0.7465175986289978, - "eval_runtime": 133.0528, - "eval_samples_per_second": 7.516, - "eval_steps_per_second": 3.758, - "step": 200 + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.7319, + "step": 912 }, { - "epoch": 0.07, - "mmlu_eval_accuracy": 0.5902724593152844, - "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, - "mmlu_eval_accuracy_anatomy": 0.5, - "mmlu_eval_accuracy_astronomy": 0.8125, - "mmlu_eval_accuracy_business_ethics": 0.7272727272727273, - "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, - "mmlu_eval_accuracy_college_biology": 0.5, - "mmlu_eval_accuracy_college_chemistry": 0.25, - "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, - "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": 0.6363636363636364, - "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": 0.43902439024390244, - "mmlu_eval_accuracy_formal_logic": 0.07142857142857142, - "mmlu_eval_accuracy_global_facts": 0.3, - "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": 0.8181818181818182, - "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": 0.6153846153846154, - "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": 0.6923076923076923, - "mmlu_eval_accuracy_human_aging": 0.7391304347826086, - "mmlu_eval_accuracy_human_sexuality": 0.5, - "mmlu_eval_accuracy_international_law": 1.0, - "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, - "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, - "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, - "mmlu_eval_accuracy_management": 0.9090909090909091, - "mmlu_eval_accuracy_marketing": 0.88, - "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, - "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, - "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, - "mmlu_eval_accuracy_moral_scenarios": 0.37, - "mmlu_eval_accuracy_nutrition": 0.696969696969697, - "mmlu_eval_accuracy_philosophy": 0.7647058823529411, - "mmlu_eval_accuracy_prehistory": 0.5428571428571428, - "mmlu_eval_accuracy_professional_accounting": 0.6129032258064516, - "mmlu_eval_accuracy_professional_law": 0.3941176470588235, - "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": 0.6296296296296297, - "mmlu_eval_accuracy_sociology": 0.8181818181818182, - "mmlu_eval_accuracy_us_foreign_policy": 0.9090909090909091, - "mmlu_eval_accuracy_virology": 0.5555555555555556, - "mmlu_eval_accuracy_world_religions": 0.7894736842105263, - "mmlu_loss": 1.3589041333441323, - "step": 200 + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8703, + "step": 913 }, { - "epoch": 0.07, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8347, - "step": 210 + "loss": 0.9498, + "step": 914 }, { - "epoch": 0.07, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8393, - "step": 220 + "loss": 0.954, + "step": 915 }, { - "epoch": 0.08, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8098, - "step": 230 + "loss": 0.5388, + "step": 916 }, { - "epoch": 0.08, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.7982, - "step": 240 + "loss": 0.7777, + "step": 917 }, { - "epoch": 0.08, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.7871, - "step": 250 + "loss": 0.8466, + "step": 918 }, { - "epoch": 0.09, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8817, - "step": 260 + "loss": 0.8867, + "step": 919 }, { - "epoch": 0.09, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8185, - "step": 270 + "loss": 0.6023, + "step": 920 }, { - "epoch": 0.09, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8334, - "step": 280 + "loss": 1.0075, + "step": 921 }, { - "epoch": 0.1, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8398, - "step": 290 + "loss": 0.5475, + "step": 922 }, { - "epoch": 0.1, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.7625, - "step": 300 + "loss": 0.692, + "step": 923 }, { - "epoch": 0.1, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.7923, - "step": 310 + "loss": 0.8253, + "step": 924 }, { - "epoch": 0.11, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8421, - "step": 320 + "loss": 0.8064, + "step": 925 }, { - "epoch": 0.11, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8105, - "step": 330 + "loss": 1.1761, + "step": 926 }, { - "epoch": 0.11, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8017, - "step": 340 + "loss": 0.9338, + "step": 927 }, { - "epoch": 0.12, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.7675, - "step": 350 + "loss": 0.8504, + "step": 928 }, { - "epoch": 0.12, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.7919, - "step": 360 + "loss": 0.5643, + "step": 929 }, { - "epoch": 0.12, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.7954, - "step": 370 + "loss": 0.5888, + "step": 930 }, { - "epoch": 0.12, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8182, - "step": 380 + "loss": 0.9313, + "step": 931 }, { - "epoch": 0.13, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8229, - "step": 390 + "loss": 0.6123, + "step": 932 }, { - "epoch": 0.13, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8335, - "step": 400 + "loss": 0.8887, + "step": 933 }, { - "epoch": 0.13, - "eval_loss": 0.7395919561386108, - "eval_runtime": 132.8292, - "eval_samples_per_second": 7.528, - "eval_steps_per_second": 3.764, - "step": 400 + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8548, + "step": 934 }, { - "epoch": 0.13, - "mmlu_eval_accuracy": 0.6007241471030027, - "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, - "mmlu_eval_accuracy_anatomy": 0.5, - "mmlu_eval_accuracy_astronomy": 0.75, - "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, - "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, - "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": 0.5454545454545454, - "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, - "mmlu_eval_accuracy_college_physics": 0.45454545454545453, - "mmlu_eval_accuracy_computer_security": 0.6363636363636364, - "mmlu_eval_accuracy_conceptual_physics": 0.5, - "mmlu_eval_accuracy_econometrics": 0.5, - "mmlu_eval_accuracy_electrical_engineering": 0.5625, - "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, - "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, - "mmlu_eval_accuracy_global_facts": 0.3, - "mmlu_eval_accuracy_high_school_biology": 0.53125, - "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, - "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, - "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, - "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, - "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, - "mmlu_eval_accuracy_high_school_macroeconomics": 0.6744186046511628, - "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069, - "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": 0.34782608695652173, - "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, - "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, - "mmlu_eval_accuracy_human_aging": 0.7391304347826086, - "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": 0.5454545454545454, - "mmlu_eval_accuracy_management": 0.9090909090909091, - "mmlu_eval_accuracy_marketing": 0.92, - "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, - "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, - "mmlu_eval_accuracy_moral_disputes": 0.6578947368421053, - "mmlu_eval_accuracy_moral_scenarios": 0.31, - "mmlu_eval_accuracy_nutrition": 0.7575757575757576, - "mmlu_eval_accuracy_philosophy": 0.6470588235294118, - "mmlu_eval_accuracy_prehistory": 0.4857142857142857, - "mmlu_eval_accuracy_professional_accounting": 0.6129032258064516, - "mmlu_eval_accuracy_professional_law": 0.38823529411764707, - "mmlu_eval_accuracy_professional_medicine": 0.6774193548387096, - "mmlu_eval_accuracy_professional_psychology": 0.6376811594202898, - "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": 0.8181818181818182, - "mmlu_eval_accuracy_virology": 0.6111111111111112, - "mmlu_eval_accuracy_world_religions": 0.9473684210526315, - "mmlu_loss": 1.0392796968550035, - "step": 400 + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 1.3875, + "step": 935 }, { - "epoch": 0.13, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8139, - "step": 410 + "loss": 0.6125, + "step": 936 }, { - "epoch": 0.14, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8146, - "step": 420 + "loss": 0.7241, + "step": 937 }, { - "epoch": 0.14, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8034, - "step": 430 + "loss": 0.7575, + "step": 938 }, { - "epoch": 0.14, + "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.7941, - "step": 440 + "loss": 0.8203, + "step": 939 }, { "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.7994, - "step": 450 + "loss": 0.6237, + "step": 940 }, { "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.7466, - "step": 460 + "loss": 0.652, + "step": 941 }, { "epoch": 0.15, "learning_rate": 0.0002, - "loss": 0.8536, - "step": 470 + "loss": 0.8225, + "step": 942 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.5296, + "step": 943 }, { "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.805, - "step": 480 + "loss": 0.6233, + "step": 944 }, { "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.8393, - "step": 490 + "loss": 0.6494, + "step": 945 }, { "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7814, - "step": 500 + "loss": 0.6741, + "step": 946 }, { - "epoch": 0.17, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.824, - "step": 510 + "loss": 0.6992, + "step": 947 }, { - "epoch": 0.17, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.8338, - "step": 520 + "loss": 1.0143, + "step": 948 }, { - "epoch": 0.17, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.8008, - "step": 530 + "loss": 1.2206, + "step": 949 }, { - "epoch": 0.18, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7993, - "step": 540 + "loss": 0.6951, + "step": 950 }, { - "epoch": 0.18, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7893, - "step": 550 + "loss": 0.9564, + "step": 951 }, { - "epoch": 0.18, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7627, - "step": 560 + "loss": 0.7238, + "step": 952 }, { - "epoch": 0.19, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.8679, - "step": 570 + "loss": 0.8592, + "step": 953 }, { - "epoch": 0.19, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7836, - "step": 580 + "loss": 0.7821, + "step": 954 }, { - "epoch": 0.19, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7854, - "step": 590 + "loss": 0.7797, + "step": 955 }, { - "epoch": 0.2, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.789, - "step": 600 + "loss": 0.7822, + "step": 956 }, { - "epoch": 0.2, - "eval_loss": 0.7367475628852844, - "eval_runtime": 132.8557, - "eval_samples_per_second": 7.527, - "eval_steps_per_second": 3.763, - "step": 600 + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7729, + "step": 957 }, { - "epoch": 0.2, - "mmlu_eval_accuracy": 0.594293155214947, - "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": 0.5862068965517241, - "mmlu_eval_accuracy_college_biology": 0.5, - "mmlu_eval_accuracy_college_chemistry": 0.375, - "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, - "mmlu_eval_accuracy_college_mathematics": 0.6363636363636364, - "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, - "mmlu_eval_accuracy_college_physics": 0.45454545454545453, - "mmlu_eval_accuracy_computer_security": 0.5454545454545454, - "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": 0.5121951219512195, - "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, - "mmlu_eval_accuracy_global_facts": 0.4, - "mmlu_eval_accuracy_high_school_biology": 0.53125, - "mmlu_eval_accuracy_high_school_chemistry": 0.45454545454545453, - "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": 0.7619047619047619, - "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, - "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": 0.8166666666666667, - "mmlu_eval_accuracy_high_school_statistics": 0.4782608695652174, - "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, - "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, - "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": 0.6111111111111112, - "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, - "mmlu_eval_accuracy_management": 0.9090909090909091, - "mmlu_eval_accuracy_marketing": 0.92, - "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, - "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, - "mmlu_eval_accuracy_moral_disputes": 0.631578947368421, - "mmlu_eval_accuracy_moral_scenarios": 0.39, - "mmlu_eval_accuracy_nutrition": 0.7575757575757576, - "mmlu_eval_accuracy_philosophy": 0.6764705882352942, - "mmlu_eval_accuracy_prehistory": 0.5428571428571428, - "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, - "mmlu_eval_accuracy_professional_law": 0.38823529411764707, - "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": 0.7037037037037037, - "mmlu_eval_accuracy_sociology": 0.8636363636363636, - "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, - "mmlu_eval_accuracy_virology": 0.5555555555555556, - "mmlu_eval_accuracy_world_religions": 0.8421052631578947, - "mmlu_loss": 1.1680357199813927, - "step": 600 + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.688, + "step": 958 }, { - "epoch": 0.2, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7913, - "step": 610 + "loss": 0.9142, + "step": 959 }, { - "epoch": 0.2, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.8255, - "step": 620 + "loss": 0.651, + "step": 960 }, { - "epoch": 0.21, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.8075, - "step": 630 + "loss": 0.6945, + "step": 961 }, { - "epoch": 0.21, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7866, - "step": 640 + "loss": 0.6274, + "step": 962 }, { - "epoch": 0.21, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7553, - "step": 650 + "loss": 0.651, + "step": 963 }, { - "epoch": 0.22, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.8378, - "step": 660 + "loss": 0.8954, + "step": 964 }, { - "epoch": 0.22, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.8303, - "step": 670 + "loss": 0.878, + "step": 965 }, { - "epoch": 0.22, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.8294, - "step": 680 + "loss": 0.6039, + "step": 966 }, { - "epoch": 0.23, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7974, - "step": 690 + "loss": 0.6027, + "step": 967 }, { - "epoch": 0.23, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.837, - "step": 700 + "loss": 0.5063, + "step": 968 }, { - "epoch": 0.23, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.8102, - "step": 710 + "loss": 0.8569, + "step": 969 }, { - "epoch": 0.24, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7953, - "step": 720 + "loss": 1.0186, + "step": 970 }, { - "epoch": 0.24, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.841, - "step": 730 + "loss": 0.8204, + "step": 971 }, { - "epoch": 0.24, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.8219, - "step": 740 + "loss": 0.8562, + "step": 972 }, { - "epoch": 0.25, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7431, - "step": 750 + "loss": 0.9192, + "step": 973 }, { - "epoch": 0.25, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7249, - "step": 760 + "loss": 0.9584, + "step": 974 }, { - "epoch": 0.25, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.8422, - "step": 770 + "loss": 0.7057, + "step": 975 }, { - "epoch": 0.26, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.8637, - "step": 780 + "loss": 0.7363, + "step": 976 }, { - "epoch": 0.26, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7363, - "step": 790 + "loss": 0.7962, + "step": 977 }, { - "epoch": 0.26, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7515, - "step": 800 + "loss": 0.8045, + "step": 978 }, { - "epoch": 0.26, - "eval_loss": 0.7350410223007202, - "eval_runtime": 132.8114, - "eval_samples_per_second": 7.529, - "eval_steps_per_second": 3.765, - "step": 800 + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7177, + "step": 979 }, { - "epoch": 0.26, - "mmlu_eval_accuracy": 0.5862496128506853, - "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, - "mmlu_eval_accuracy_anatomy": 0.5714285714285714, - "mmlu_eval_accuracy_astronomy": 0.75, - "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, - "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, - "mmlu_eval_accuracy_college_biology": 0.5, - "mmlu_eval_accuracy_college_chemistry": 0.25, - "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, - "mmlu_eval_accuracy_college_mathematics": 0.6363636363636364, - "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, - "mmlu_eval_accuracy_college_physics": 0.45454545454545453, - "mmlu_eval_accuracy_computer_security": 0.5454545454545454, - "mmlu_eval_accuracy_conceptual_physics": 0.5, - "mmlu_eval_accuracy_econometrics": 0.4166666666666667, - "mmlu_eval_accuracy_electrical_engineering": 0.4375, - "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, - "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": 0.4090909090909091, - "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": 0.7619047619047619, - "mmlu_eval_accuracy_high_school_macroeconomics": 0.6511627906976745, - "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793, - "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": 0.43478260869565216, - "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, - "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, - "mmlu_eval_accuracy_human_aging": 0.7391304347826086, - "mmlu_eval_accuracy_human_sexuality": 0.5, - "mmlu_eval_accuracy_international_law": 0.9230769230769231, - "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, - "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, - "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, - "mmlu_eval_accuracy_management": 0.9090909090909091, - "mmlu_eval_accuracy_marketing": 0.92, - "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, - "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395, - "mmlu_eval_accuracy_moral_disputes": 0.6052631578947368, - "mmlu_eval_accuracy_moral_scenarios": 0.4, - "mmlu_eval_accuracy_nutrition": 0.7878787878787878, - "mmlu_eval_accuracy_philosophy": 0.6176470588235294, - "mmlu_eval_accuracy_prehistory": 0.5142857142857142, - "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, - "mmlu_eval_accuracy_professional_law": 0.37058823529411766, - "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, - "mmlu_eval_accuracy_professional_psychology": 0.6376811594202898, - "mmlu_eval_accuracy_public_relations": 0.5, - "mmlu_eval_accuracy_security_studies": 0.7407407407407407, - "mmlu_eval_accuracy_sociology": 0.9090909090909091, - "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, - "mmlu_eval_accuracy_virology": 0.5555555555555556, - "mmlu_eval_accuracy_world_religions": 0.8421052631578947, - "mmlu_loss": 1.2610168881889423, - "step": 800 + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.796, + "step": 980 }, { - "epoch": 0.27, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7708, - "step": 810 + "loss": 0.6995, + "step": 981 }, { - "epoch": 0.27, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7835, - "step": 820 + "loss": 0.5048, + "step": 982 }, { - "epoch": 0.27, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7705, - "step": 830 + "loss": 0.9541, + "step": 983 }, { - "epoch": 0.28, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.8067, - "step": 840 + "loss": 0.4876, + "step": 984 }, { - "epoch": 0.28, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.789, - "step": 850 + "loss": 0.506, + "step": 985 }, { - "epoch": 0.28, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7876, - "step": 860 + "loss": 0.8758, + "step": 986 }, { - "epoch": 0.29, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.8059, - "step": 870 + "loss": 0.6352, + "step": 987 }, { - "epoch": 0.29, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.8219, - "step": 880 + "loss": 0.7109, + "step": 988 }, { - "epoch": 0.29, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7654, - "step": 890 + "loss": 0.8874, + "step": 989 }, { - "epoch": 0.3, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.8648, - "step": 900 + "loss": 0.812, + "step": 990 }, { - "epoch": 0.3, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7738, - "step": 910 + "loss": 0.499, + "step": 991 }, { - "epoch": 0.3, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7952, - "step": 920 + "loss": 0.8348, + "step": 992 }, { - "epoch": 0.31, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.8421, - "step": 930 + "loss": 0.9514, + "step": 993 }, { - "epoch": 0.31, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7871, - "step": 940 + "loss": 0.9723, + "step": 994 }, { - "epoch": 0.31, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7859, - "step": 950 + "loss": 0.9755, + "step": 995 }, { - "epoch": 0.32, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.8222, - "step": 960 + "loss": 0.8997, + "step": 996 }, { - "epoch": 0.32, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.778, - "step": 970 + "loss": 0.82, + "step": 997 }, { - "epoch": 0.32, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.8145, - "step": 980 + "loss": 0.8012, + "step": 998 }, { - "epoch": 0.33, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7729, - "step": 990 + "loss": 0.5464, + "step": 999 }, { - "epoch": 0.33, + "epoch": 0.16, "learning_rate": 0.0002, - "loss": 0.7829, + "loss": 0.6164, "step": 1000 }, { - "epoch": 0.33, - "eval_loss": 0.7300029397010803, - "eval_runtime": 132.8403, - "eval_samples_per_second": 7.528, - "eval_steps_per_second": 3.764, + "epoch": 0.16, + "eval_loss": 0.7555892467498779, + "eval_runtime": 131.6346, + "eval_samples_per_second": 7.597, + "eval_steps_per_second": 3.798, "step": 1000 }, { - "epoch": 0.33, - "mmlu_eval_accuracy": 0.5863749078875924, + "epoch": 0.16, + "mmlu_eval_accuracy": 0.5856789112224339, "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, "mmlu_eval_accuracy_anatomy": 0.5714285714285714, "mmlu_eval_accuracy_astronomy": 0.75, "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, - "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, - "mmlu_eval_accuracy_college_biology": 0.5, + "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, + "mmlu_eval_accuracy_college_biology": 0.625, "mmlu_eval_accuracy_college_chemistry": 0.375, - "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, - "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_college_computer_science": 0.36363636363636365, + "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, + "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, + "mmlu_eval_accuracy_college_physics": 0.5454545454545454, + "mmlu_eval_accuracy_computer_security": 0.5454545454545454, + "mmlu_eval_accuracy_conceptual_physics": 0.5384615384615384, "mmlu_eval_accuracy_econometrics": 0.5, - "mmlu_eval_accuracy_electrical_engineering": 0.375, - "mmlu_eval_accuracy_elementary_mathematics": 0.5121951219512195, + "mmlu_eval_accuracy_electrical_engineering": 0.6875, + "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634, "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, - "mmlu_eval_accuracy_global_facts": 0.5, + "mmlu_eval_accuracy_global_facts": 0.4, "mmlu_eval_accuracy_high_school_biology": 0.5625, - "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, + "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_geography": 0.8181818181818182, "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, - "mmlu_eval_accuracy_high_school_macroeconomics": 0.6511627906976745, - "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5581395348837209, + "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_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": 0.7727272727272727, + "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": 0.782608695652174, + "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": 0.45454545454545453, + "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, - "mmlu_eval_accuracy_machine_learning": 0.2727272727272727, - "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_machine_learning": 0.36363636363636365, + "mmlu_eval_accuracy_management": 0.8181818181818182, "mmlu_eval_accuracy_marketing": 0.92, - "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_medical_genetics": 0.8181818181818182, "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395, - "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, - "mmlu_eval_accuracy_moral_scenarios": 0.35, - "mmlu_eval_accuracy_nutrition": 0.7272727272727273, - "mmlu_eval_accuracy_philosophy": 0.6764705882352942, - "mmlu_eval_accuracy_prehistory": 0.5714285714285714, - "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, - "mmlu_eval_accuracy_professional_law": 0.38235294117647056, + "mmlu_eval_accuracy_moral_disputes": 0.6052631578947368, + "mmlu_eval_accuracy_moral_scenarios": 0.39, + "mmlu_eval_accuracy_nutrition": 0.7575757575757576, + "mmlu_eval_accuracy_philosophy": 0.7352941176470589, + "mmlu_eval_accuracy_prehistory": 0.6, + "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744, + "mmlu_eval_accuracy_professional_law": 0.38823529411764707, "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935, - "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, - "mmlu_eval_accuracy_public_relations": 0.5833333333333334, - "mmlu_eval_accuracy_security_studies": 0.5925925925925926, - "mmlu_eval_accuracy_sociology": 0.8181818181818182, + "mmlu_eval_accuracy_professional_psychology": 0.5652173913043478, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.6296296296296297, + "mmlu_eval_accuracy_sociology": 0.9090909090909091, "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, "mmlu_eval_accuracy_virology": 0.5, "mmlu_eval_accuracy_world_religions": 0.8947368421052632, - "mmlu_loss": 1.334560420821292, + "mmlu_loss": 1.176194295909635, "step": 1000 } ], - "logging_steps": 10, - "max_steps": 9129, + "logging_steps": 1, + "max_steps": 18258, "num_train_epochs": 3, "save_steps": 200, - "total_flos": 5.3490750465520435e+17, + "total_flos": 2.0594728582230835e+17, "trial_name": null, "trial_params": null }