diff --git "a/checkpoint-800/trainer_state.json" "b/checkpoint-800/trainer_state.json" new file mode 100644--- /dev/null +++ "b/checkpoint-800/trainer_state.json" @@ -0,0 +1,5103 @@ +{ + "best_metric": 0.9254454374313354, + "best_model_checkpoint": "experts/mistralic-expert-31/checkpoint-600", + "epoch": 0.24683739586547362, + "eval_steps": 200, + "global_step": 800, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.997, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 1.0488, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.9417, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 1.0655, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.9966, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 1.1248, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 1.0554, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 1.1163, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.9191, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 1.1657, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.9985, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 1.0346, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.8882, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 1.0175, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.877, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.8384, + "step": 16 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.0233, + "step": 17 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.0147, + "step": 18 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.1521, + "step": 19 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9418, + "step": 20 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.1608, + "step": 21 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9631, + "step": 22 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.0209, + "step": 23 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.0619, + "step": 24 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.2694, + "step": 25 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9997, + "step": 26 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9234, + "step": 27 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9679, + "step": 28 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9442, + "step": 29 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9708, + "step": 30 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.0319, + "step": 31 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.0278, + "step": 32 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.0284, + "step": 33 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8464, + "step": 34 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9889, + "step": 35 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.3341, + "step": 36 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.0814, + "step": 37 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.9036, + "step": 38 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.1541, + "step": 39 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.1549, + "step": 40 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.0072, + "step": 41 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.0638, + "step": 42 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.0451, + "step": 43 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.1216, + "step": 44 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.0063, + "step": 45 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.8003, + "step": 46 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 1.0479, + "step": 47 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.7849, + "step": 48 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.0547, + "step": 49 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9508, + "step": 50 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.033, + "step": 51 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7773, + "step": 52 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.887, + "step": 53 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8354, + "step": 54 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9288, + "step": 55 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.1684, + "step": 56 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.0553, + "step": 57 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8693, + "step": 58 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8337, + "step": 59 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9965, + "step": 60 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9892, + "step": 61 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9308, + "step": 62 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7772, + "step": 63 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.0411, + "step": 64 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7696, + "step": 65 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7961, + "step": 66 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8911, + "step": 67 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.0532, + "step": 68 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.0721, + "step": 69 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7499, + "step": 70 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9293, + "step": 71 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8478, + "step": 72 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.02, + "step": 73 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.2677, + "step": 74 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9836, + "step": 75 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.1115, + "step": 76 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.1138, + "step": 77 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.8705, + "step": 78 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.9836, + "step": 79 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.068, + "step": 80 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 1.043, + "step": 81 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.0843, + "step": 82 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.974, + "step": 83 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9724, + "step": 84 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8375, + "step": 85 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.1525, + "step": 86 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9822, + "step": 87 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.0685, + "step": 88 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.2392, + "step": 89 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9015, + "step": 90 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8264, + "step": 91 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.1202, + "step": 92 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.0901, + "step": 93 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.1147, + "step": 94 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.858, + "step": 95 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.1012, + "step": 96 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9222, + "step": 97 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.0704, + "step": 98 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.1067, + "step": 99 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8698, + "step": 100 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.2041, + "step": 101 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.8054, + "step": 102 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.0614, + "step": 103 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9635, + "step": 104 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.0252, + "step": 105 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.962, + "step": 106 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9954, + "step": 107 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9895, + "step": 108 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9363, + "step": 109 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9849, + "step": 110 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.0117, + "step": 111 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 1.0286, + "step": 112 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.9685, + "step": 113 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9529, + "step": 114 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0492, + "step": 115 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.7994, + "step": 116 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.757, + "step": 117 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9638, + "step": 118 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0389, + "step": 119 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9388, + "step": 120 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9704, + "step": 121 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8574, + "step": 122 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.1912, + "step": 123 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0663, + "step": 124 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0062, + "step": 125 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0792, + "step": 126 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8519, + "step": 127 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.913, + "step": 128 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0731, + "step": 129 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0924, + "step": 130 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9461, + "step": 131 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0235, + "step": 132 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.8753, + "step": 133 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9494, + "step": 134 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0812, + "step": 135 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9319, + "step": 136 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9457, + "step": 137 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9424, + "step": 138 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0331, + "step": 139 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.0472, + "step": 140 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.998, + "step": 141 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9577, + "step": 142 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.1829, + "step": 143 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 1.049, + "step": 144 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.9152, + "step": 145 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.0662, + "step": 146 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9938, + "step": 147 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9318, + "step": 148 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.3438, + "step": 149 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9698, + "step": 150 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9604, + "step": 151 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8512, + "step": 152 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8416, + "step": 153 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.0059, + "step": 154 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.883, + "step": 155 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.2187, + "step": 156 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8645, + "step": 157 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.0157, + "step": 158 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.0114, + "step": 159 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9243, + "step": 160 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9201, + "step": 161 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.1389, + "step": 162 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9449, + "step": 163 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.0677, + "step": 164 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.0569, + "step": 165 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9678, + "step": 166 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.0145, + "step": 167 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.0152, + "step": 168 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.016, + "step": 169 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8583, + "step": 170 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.073, + "step": 171 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8966, + "step": 172 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8771, + "step": 173 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.075, + "step": 174 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.9856, + "step": 175 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8457, + "step": 176 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 1.0132, + "step": 177 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.8739, + "step": 178 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.965, + "step": 179 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9579, + "step": 180 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.0677, + "step": 181 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.0182, + "step": 182 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7834, + "step": 183 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.1045, + "step": 184 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8176, + "step": 185 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7513, + "step": 186 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.7464, + "step": 187 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.0779, + "step": 188 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9206, + "step": 189 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8617, + "step": 190 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.0357, + "step": 191 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.0274, + "step": 192 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9239, + "step": 193 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.0465, + "step": 194 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9282, + "step": 195 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.0537, + "step": 196 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.1715, + "step": 197 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9823, + "step": 198 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.0934, + "step": 199 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8832, + "step": 200 + }, + { + "epoch": 0.06, + "eval_loss": 0.9499853253364563, + "eval_runtime": 90.0334, + "eval_samples_per_second": 11.107, + "eval_steps_per_second": 5.553, + "step": 200 + }, + { + "epoch": 0.06, + "mmlu_eval_accuracy": 0.583239780938983, + "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, + "mmlu_eval_accuracy_college_mathematics": 0.6363636363636364, + "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, + "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": 0.625, + "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.53125, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, + "mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, + "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, + "mmlu_eval_accuracy_high_school_psychology": 0.85, + "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, + "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": 0.5833333333333334, + "mmlu_eval_accuracy_international_law": 0.9230769230769231, + "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.92, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7674418604651163, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.28, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.7647058823529411, + "mmlu_eval_accuracy_prehistory": 0.45714285714285713, + "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, + "mmlu_eval_accuracy_professional_law": 0.3941176470588235, + "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, + "mmlu_eval_accuracy_professional_psychology": 0.6521739130434783, + "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": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 1.5736223915227088, + "step": 200 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.925, + "step": 201 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9671, + "step": 202 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8345, + "step": 203 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.8449, + "step": 204 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9823, + "step": 205 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.1645, + "step": 206 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.0478, + "step": 207 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.0589, + "step": 208 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.9737, + "step": 209 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 1.0603, + "step": 210 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.0362, + "step": 211 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9799, + "step": 212 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8978, + "step": 213 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9695, + "step": 214 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9839, + "step": 215 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.0147, + "step": 216 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9018, + "step": 217 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.1482, + "step": 218 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9104, + "step": 219 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.0003, + "step": 220 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8485, + "step": 221 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8124, + "step": 222 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9756, + "step": 223 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.2614, + "step": 224 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.1372, + "step": 225 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.0422, + "step": 226 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.0229, + "step": 227 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9819, + "step": 228 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.917, + "step": 229 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.0221, + "step": 230 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.0757, + "step": 231 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.1495, + "step": 232 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.019, + "step": 233 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9665, + "step": 234 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.0675, + "step": 235 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8124, + "step": 236 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.0367, + "step": 237 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.001, + "step": 238 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.7586, + "step": 239 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 1.0411, + "step": 240 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.8661, + "step": 241 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.9123, + "step": 242 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.83, + "step": 243 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8899, + "step": 244 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.0077, + "step": 245 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9373, + "step": 246 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.1275, + "step": 247 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7653, + "step": 248 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8757, + "step": 249 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.1311, + "step": 250 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8657, + "step": 251 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.1071, + "step": 252 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9579, + "step": 253 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8067, + "step": 254 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.1368, + "step": 255 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8264, + "step": 256 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9937, + "step": 257 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.0458, + "step": 258 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9694, + "step": 259 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.0525, + "step": 260 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8832, + "step": 261 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8712, + "step": 262 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.0039, + "step": 263 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.1049, + "step": 264 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.7728, + "step": 265 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8612, + "step": 266 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9169, + "step": 267 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9523, + "step": 268 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8041, + "step": 269 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8771, + "step": 270 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 1.1153, + "step": 271 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.8168, + "step": 272 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.796, + "step": 273 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9457, + "step": 274 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.9758, + "step": 275 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.1362, + "step": 276 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8275, + "step": 277 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8748, + "step": 278 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9961, + "step": 279 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8587, + "step": 280 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9617, + "step": 281 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.3358, + "step": 282 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.959, + "step": 283 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9922, + "step": 284 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.0314, + "step": 285 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9845, + "step": 286 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.887, + "step": 287 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.0033, + "step": 288 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.0781, + "step": 289 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.1126, + "step": 290 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9803, + "step": 291 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.0852, + "step": 292 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7943, + "step": 293 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9783, + "step": 294 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9389, + "step": 295 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.0074, + "step": 296 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7229, + "step": 297 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.0911, + "step": 298 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.952, + "step": 299 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.0237, + "step": 300 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.14, + "step": 301 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.7661, + "step": 302 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.9887, + "step": 303 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.1378, + "step": 304 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 1.0622, + "step": 305 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.8306, + "step": 306 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.71, + "step": 307 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.7812, + "step": 308 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.0251, + "step": 309 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.1483, + "step": 310 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.041, + "step": 311 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.0637, + "step": 312 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.0051, + "step": 313 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.021, + "step": 314 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.03, + "step": 315 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.2441, + "step": 316 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8661, + "step": 317 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9945, + "step": 318 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.1312, + "step": 319 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.083, + "step": 320 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9382, + "step": 321 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9763, + "step": 322 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9111, + "step": 323 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.0146, + "step": 324 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.1616, + "step": 325 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8338, + "step": 326 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9968, + "step": 327 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.022, + "step": 328 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.0467, + "step": 329 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.188, + "step": 330 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.028, + "step": 331 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.982, + "step": 332 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.0669, + "step": 333 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.875, + "step": 334 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9985, + "step": 335 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9164, + "step": 336 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 1.0613, + "step": 337 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.9191, + "step": 338 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8803, + "step": 339 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.8468, + "step": 340 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.0023, + "step": 341 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.0508, + "step": 342 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.83, + "step": 343 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.0438, + "step": 344 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.0424, + "step": 345 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.0642, + "step": 346 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9585, + "step": 347 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8884, + "step": 348 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9328, + "step": 349 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8091, + "step": 350 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.0103, + "step": 351 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.2493, + "step": 352 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9404, + "step": 353 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9181, + "step": 354 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8925, + "step": 355 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8298, + "step": 356 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9405, + "step": 357 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9222, + "step": 358 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.0356, + "step": 359 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.0183, + "step": 360 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8807, + "step": 361 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9507, + "step": 362 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.9158, + "step": 363 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8927, + "step": 364 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8619, + "step": 365 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.1063, + "step": 366 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7939, + "step": 367 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.0938, + "step": 368 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.7703, + "step": 369 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.8846, + "step": 370 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 1.1139, + "step": 371 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.871, + "step": 372 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.0847, + "step": 373 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9088, + "step": 374 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8681, + "step": 375 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9996, + "step": 376 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8648, + "step": 377 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.85, + "step": 378 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8583, + "step": 379 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.2312, + "step": 380 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9006, + "step": 381 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8996, + "step": 382 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.1244, + "step": 383 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9585, + "step": 384 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7312, + "step": 385 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.0706, + "step": 386 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.1169, + "step": 387 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8343, + "step": 388 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9726, + "step": 389 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9733, + "step": 390 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9283, + "step": 391 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.0867, + "step": 392 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8833, + "step": 393 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.1476, + "step": 394 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9248, + "step": 395 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9299, + "step": 396 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.7002, + "step": 397 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9364, + "step": 398 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9676, + "step": 399 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.0887, + "step": 400 + }, + { + "epoch": 0.12, + "eval_loss": 0.9337849020957947, + "eval_runtime": 90.0647, + "eval_samples_per_second": 11.103, + "eval_steps_per_second": 5.552, + "step": 400 + }, + { + "epoch": 0.12, + "mmlu_eval_accuracy": 0.5981609425223685, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, + "mmlu_eval_accuracy_college_mathematics": 0.6363636363636364, + "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": 0.5, + "mmlu_eval_accuracy_econometrics": 0.4166666666666667, + "mmlu_eval_accuracy_electrical_engineering": 0.6875, + "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.5, + "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, + "mmlu_eval_accuracy_high_school_mathematics": 0.3793103448275862, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.85, + "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.5833333333333334, + "mmlu_eval_accuracy_international_law": 0.9230769230769231, + "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.96, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7558139534883721, + "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, + "mmlu_eval_accuracy_moral_scenarios": 0.31, + "mmlu_eval_accuracy_nutrition": 0.7575757575757576, + "mmlu_eval_accuracy_philosophy": 0.7647058823529411, + "mmlu_eval_accuracy_prehistory": 0.5142857142857142, + "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, + "mmlu_eval_accuracy_professional_law": 0.40588235294117647, + "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, + "mmlu_eval_accuracy_professional_psychology": 0.6231884057971014, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.6296296296296297, + "mmlu_eval_accuracy_sociology": 0.8636363636363636, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 1.4234340800940213, + "step": 400 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.0558, + "step": 401 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.8911, + "step": 402 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.1997, + "step": 403 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 1.0156, + "step": 404 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.9449, + "step": 405 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.0698, + "step": 406 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.0274, + "step": 407 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9211, + "step": 408 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8839, + "step": 409 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.0304, + "step": 410 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.0496, + "step": 411 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9538, + "step": 412 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9134, + "step": 413 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8762, + "step": 414 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.0562, + "step": 415 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9841, + "step": 416 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8964, + "step": 417 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8863, + "step": 418 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.854, + "step": 419 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9016, + "step": 420 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.938, + "step": 421 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9199, + "step": 422 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9212, + "step": 423 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8638, + "step": 424 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.0294, + "step": 425 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9055, + "step": 426 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9948, + "step": 427 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.0142, + "step": 428 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8889, + "step": 429 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8868, + "step": 430 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9281, + "step": 431 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.1905, + "step": 432 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 1.0471, + "step": 433 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.8069, + "step": 434 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9336, + "step": 435 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9766, + "step": 436 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.9063, + "step": 437 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8862, + "step": 438 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9648, + "step": 439 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9775, + "step": 440 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9181, + "step": 441 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.0634, + "step": 442 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9453, + "step": 443 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.7123, + "step": 444 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.0168, + "step": 445 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8962, + "step": 446 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.038, + "step": 447 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.8036, + "step": 448 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9838, + "step": 449 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6722, + "step": 450 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9898, + "step": 451 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.2471, + "step": 452 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9111, + "step": 453 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.1423, + "step": 454 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6952, + "step": 455 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.0062, + "step": 456 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9, + "step": 457 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9786, + "step": 458 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.0072, + "step": 459 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.0386, + "step": 460 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.013, + "step": 461 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9622, + "step": 462 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9577, + "step": 463 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9358, + "step": 464 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.853, + "step": 465 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.1448, + "step": 466 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 1.0459, + "step": 467 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.9386, + "step": 468 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.98, + "step": 469 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.995, + "step": 470 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9831, + "step": 471 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 1.0843, + "step": 472 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9832, + "step": 473 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9159, + "step": 474 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8165, + "step": 475 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8995, + "step": 476 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9109, + "step": 477 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9167, + "step": 478 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8154, + "step": 479 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 1.0069, + "step": 480 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9082, + "step": 481 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9815, + "step": 482 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8454, + "step": 483 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8938, + "step": 484 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9268, + "step": 485 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8692, + "step": 486 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 1.141, + "step": 487 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8405, + "step": 488 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8733, + "step": 489 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9348, + "step": 490 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9177, + "step": 491 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 1.007, + "step": 492 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 1.1407, + "step": 493 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9823, + "step": 494 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9559, + "step": 495 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8707, + "step": 496 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 1.0767, + "step": 497 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8656, + "step": 498 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9875, + "step": 499 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.8553, + "step": 500 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 1.2432, + "step": 501 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.9875, + "step": 502 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0564, + "step": 503 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0728, + "step": 504 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8802, + "step": 505 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0073, + "step": 506 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0117, + "step": 507 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9091, + "step": 508 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0593, + "step": 509 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7527, + "step": 510 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.884, + "step": 511 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.6971, + "step": 512 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8787, + "step": 513 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8654, + "step": 514 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0796, + "step": 515 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9112, + "step": 516 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0223, + "step": 517 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.1011, + "step": 518 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9859, + "step": 519 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9615, + "step": 520 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9893, + "step": 521 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9579, + "step": 522 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7488, + "step": 523 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8454, + "step": 524 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.7769, + "step": 525 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0176, + "step": 526 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9641, + "step": 527 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9485, + "step": 528 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.125, + "step": 529 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.1411, + "step": 530 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.8413, + "step": 531 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.1159, + "step": 532 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 1.0399, + "step": 533 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.9691, + "step": 534 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 1.038, + "step": 535 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7182, + "step": 536 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9709, + "step": 537 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9577, + "step": 538 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9499, + "step": 539 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9988, + "step": 540 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9525, + "step": 541 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8858, + "step": 542 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9578, + "step": 543 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 1.0587, + "step": 544 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 1.0067, + "step": 545 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.955, + "step": 546 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 1.0419, + "step": 547 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 1.1421, + "step": 548 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9016, + "step": 549 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 1.1797, + "step": 550 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8918, + "step": 551 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.978, + "step": 552 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.901, + "step": 553 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9897, + "step": 554 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 1.0817, + "step": 555 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9277, + "step": 556 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7438, + "step": 557 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9909, + "step": 558 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9218, + "step": 559 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9851, + "step": 560 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9524, + "step": 561 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8747, + "step": 562 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9278, + "step": 563 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9328, + "step": 564 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.9843, + "step": 565 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.7991, + "step": 566 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.976, + "step": 567 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8677, + "step": 568 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.965, + "step": 569 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8707, + "step": 570 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 1.0468, + "step": 571 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9707, + "step": 572 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9433, + "step": 573 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 1.0574, + "step": 574 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 1.0994, + "step": 575 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8638, + "step": 576 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8006, + "step": 577 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8519, + "step": 578 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8249, + "step": 579 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 1.0455, + "step": 580 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9342, + "step": 581 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8356, + "step": 582 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8214, + "step": 583 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 1.1784, + "step": 584 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9906, + "step": 585 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.7492, + "step": 586 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9585, + "step": 587 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8765, + "step": 588 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9779, + "step": 589 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 1.3717, + "step": 590 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9579, + "step": 591 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8574, + "step": 592 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9953, + "step": 593 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9189, + "step": 594 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.8172, + "step": 595 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 1.0521, + "step": 596 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.9594, + "step": 597 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.988, + "step": 598 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 1.1481, + "step": 599 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9953, + "step": 600 + }, + { + "epoch": 0.19, + "eval_loss": 0.9254454374313354, + "eval_runtime": 89.8948, + "eval_samples_per_second": 11.124, + "eval_steps_per_second": 5.562, + "step": 600 + }, + { + "epoch": 0.19, + "mmlu_eval_accuracy": 0.5822425888854337, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.18181818181818182, + "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, + "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "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": 0.5625, + "mmlu_eval_accuracy_elementary_mathematics": 0.4878048780487805, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.3, + "mmlu_eval_accuracy_high_school_biology": 0.53125, + "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, + "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": 0.85, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.9230769230769231, + "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, + "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.92, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, + "mmlu_eval_accuracy_moral_disputes": 0.5, + "mmlu_eval_accuracy_moral_scenarios": 0.37, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.7352941176470589, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, + "mmlu_eval_accuracy_professional_law": 0.3764705882352941, + "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226, + "mmlu_eval_accuracy_professional_psychology": 0.6521739130434783, + "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": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 1.3702809761227266, + "step": 600 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9535, + "step": 601 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 1.0501, + "step": 602 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9769, + "step": 603 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9042, + "step": 604 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8794, + "step": 605 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9339, + "step": 606 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9829, + "step": 607 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8145, + "step": 608 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9466, + "step": 609 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8049, + "step": 610 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 1.1801, + "step": 611 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9824, + "step": 612 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9801, + "step": 613 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9277, + "step": 614 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 1.0793, + "step": 615 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9145, + "step": 616 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9077, + "step": 617 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9271, + "step": 618 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8139, + "step": 619 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 1.1319, + "step": 620 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 1.0052, + "step": 621 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.773, + "step": 622 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 1.0893, + "step": 623 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9802, + "step": 624 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.8839, + "step": 625 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9028, + "step": 626 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 1.1832, + "step": 627 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9879, + "step": 628 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 1.0714, + "step": 629 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.9293, + "step": 630 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.999, + "step": 631 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9246, + "step": 632 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9175, + "step": 633 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9249, + "step": 634 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 1.0007, + "step": 635 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 1.0112, + "step": 636 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9751, + "step": 637 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 1.0059, + "step": 638 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9026, + "step": 639 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 1.0026, + "step": 640 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 1.0469, + "step": 641 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.8268, + "step": 642 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 1.1288, + "step": 643 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9288, + "step": 644 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.995, + "step": 645 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.7639, + "step": 646 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9523, + "step": 647 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 1.0845, + "step": 648 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.8971, + "step": 649 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9431, + "step": 650 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 1.0578, + "step": 651 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9411, + "step": 652 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9653, + "step": 653 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 1.0232, + "step": 654 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9372, + "step": 655 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9865, + "step": 656 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 1.0774, + "step": 657 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.8414, + "step": 658 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9289, + "step": 659 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 1.0405, + "step": 660 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 1.1074, + "step": 661 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 1.0345, + "step": 662 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 1.013, + "step": 663 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.9731, + "step": 664 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 1.197, + "step": 665 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9602, + "step": 666 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 1.0854, + "step": 667 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 1.0112, + "step": 668 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 1.058, + "step": 669 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 1.0063, + "step": 670 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.852, + "step": 671 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 1.0859, + "step": 672 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 1.1411, + "step": 673 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.8524, + "step": 674 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.809, + "step": 675 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 1.014, + "step": 676 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 1.0507, + "step": 677 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7869, + "step": 678 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9157, + "step": 679 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7784, + "step": 680 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.8716, + "step": 681 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9756, + "step": 682 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.8185, + "step": 683 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7187, + "step": 684 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.8743, + "step": 685 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9534, + "step": 686 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 1.0375, + "step": 687 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 1.0418, + "step": 688 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 1.1439, + "step": 689 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 1.0074, + "step": 690 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9489, + "step": 691 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 1.0332, + "step": 692 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.7165, + "step": 693 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.9881, + "step": 694 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.964, + "step": 695 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 1.0508, + "step": 696 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.9705, + "step": 697 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 1.0737, + "step": 698 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.9181, + "step": 699 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.9864, + "step": 700 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8444, + "step": 701 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8833, + "step": 702 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.9513, + "step": 703 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 1.0633, + "step": 704 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.9659, + "step": 705 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.9193, + "step": 706 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.9114, + "step": 707 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7952, + "step": 708 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8248, + "step": 709 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8872, + "step": 710 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 1.0004, + "step": 711 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.9765, + "step": 712 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 1.0734, + "step": 713 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.9609, + "step": 714 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 1.0316, + "step": 715 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8484, + "step": 716 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.9762, + "step": 717 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 1.0791, + "step": 718 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 1.1466, + "step": 719 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.9606, + "step": 720 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.9582, + "step": 721 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 1.0114, + "step": 722 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8765, + "step": 723 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.9429, + "step": 724 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.9376, + "step": 725 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.8704, + "step": 726 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.985, + "step": 727 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.7996, + "step": 728 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.9308, + "step": 729 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.9079, + "step": 730 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7765, + "step": 731 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.0763, + "step": 732 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.8579, + "step": 733 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.9353, + "step": 734 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.0666, + "step": 735 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.0547, + "step": 736 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.0175, + "step": 737 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.0049, + "step": 738 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.0471, + "step": 739 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.0488, + "step": 740 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.9471, + "step": 741 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.9221, + "step": 742 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.0767, + "step": 743 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.8748, + "step": 744 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.8834, + "step": 745 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.0069, + "step": 746 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.9915, + "step": 747 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7124, + "step": 748 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.9043, + "step": 749 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.9733, + "step": 750 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.0334, + "step": 751 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.0691, + "step": 752 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.827, + "step": 753 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.2009, + "step": 754 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.9517, + "step": 755 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 1.0902, + "step": 756 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.8167, + "step": 757 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.9987, + "step": 758 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.9658, + "step": 759 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.9657, + "step": 760 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.7932, + "step": 761 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8968, + "step": 762 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9415, + "step": 763 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9308, + "step": 764 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.7555, + "step": 765 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9491, + "step": 766 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 1.2491, + "step": 767 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8267, + "step": 768 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9367, + "step": 769 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 1.0347, + "step": 770 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9795, + "step": 771 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9948, + "step": 772 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9551, + "step": 773 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9297, + "step": 774 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9208, + "step": 775 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8997, + "step": 776 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.868, + "step": 777 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9908, + "step": 778 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 1.2474, + "step": 779 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.8084, + "step": 780 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 1.0014, + "step": 781 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.915, + "step": 782 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 1.0353, + "step": 783 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9012, + "step": 784 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9215, + "step": 785 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9937, + "step": 786 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9894, + "step": 787 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9932, + "step": 788 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 1.1575, + "step": 789 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9016, + "step": 790 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 1.0525, + "step": 791 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 1.1081, + "step": 792 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9134, + "step": 793 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.9649, + "step": 794 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.9309, + "step": 795 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.7267, + "step": 796 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.8965, + "step": 797 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.9005, + "step": 798 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.8663, + "step": 799 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.9574, + "step": 800 + }, + { + "epoch": 0.25, + "eval_loss": 0.9275184273719788, + "eval_runtime": 89.9113, + "eval_samples_per_second": 11.122, + "eval_steps_per_second": 5.561, + "step": 800 + }, + { + "epoch": 0.25, + "mmlu_eval_accuracy": 0.5848031166258056, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.35714285714285715, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, + "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, + "mmlu_eval_accuracy_college_physics": 0.36363636363636365, + "mmlu_eval_accuracy_computer_security": 0.7272727272727273, + "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231, + "mmlu_eval_accuracy_econometrics": 0.5, + "mmlu_eval_accuracy_electrical_engineering": 0.625, + "mmlu_eval_accuracy_elementary_mathematics": 0.4878048780487805, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.53125, + "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, + "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.9, + "mmlu_eval_accuracy_high_school_statistics": 0.391304347826087, + "mmlu_eval_accuracy_high_school_us_history": 0.6818181818181818, + "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.9230769230769231, + "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7325581395348837, + "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, + "mmlu_eval_accuracy_moral_scenarios": 0.33, + "mmlu_eval_accuracy_nutrition": 0.7272727272727273, + "mmlu_eval_accuracy_philosophy": 0.7647058823529411, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, + "mmlu_eval_accuracy_professional_law": 0.4, + "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, + "mmlu_eval_accuracy_professional_psychology": 0.6666666666666666, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5555555555555556, + "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": 1.4141516886242997, + "step": 800 + } + ], + "logging_steps": 1, + "max_steps": 9723, + "num_train_epochs": 3, + "save_steps": 200, + "total_flos": 8.757602069387674e+16, + "trial_name": null, + "trial_params": null +}