diff --git "a/checkpoint-1600/trainer_state.json" "b/checkpoint-1600/trainer_state.json" new file mode 100644--- /dev/null +++ "b/checkpoint-1600/trainer_state.json" @@ -0,0 +1,10187 @@ +{ + "best_metric": 0.3317873179912567, + "best_model_checkpoint": "experts/mistralic-expert-17/checkpoint-1600", + "epoch": 0.3316234001761749, + "eval_steps": 200, + "global_step": 1600, + "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": 0.3764, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.3983, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.4823, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.4139, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.341, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.3615, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.3709, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.3184, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.3923, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.5588, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.4881, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.4644, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.3299, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.404, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.3933, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.3784, + "step": 16 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.406, + "step": 17 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.4184, + "step": 18 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.3953, + "step": 19 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.4085, + "step": 20 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.4547, + "step": 21 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.4166, + "step": 22 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.4566, + "step": 23 + }, + { + "epoch": 0.0, + "learning_rate": 0.0002, + "loss": 0.3928, + "step": 24 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3639, + "step": 25 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.386, + "step": 26 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3157, + "step": 27 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3111, + "step": 28 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5034, + "step": 29 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.4071, + "step": 30 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6236, + "step": 31 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3294, + "step": 32 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.4722, + "step": 33 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3625, + "step": 34 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5145, + "step": 35 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.416, + "step": 36 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3519, + "step": 37 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3509, + "step": 38 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.416, + "step": 39 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.4899, + "step": 40 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3193, + "step": 41 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.5121, + "step": 42 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3911, + "step": 43 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.4805, + "step": 44 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3315, + "step": 45 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3784, + "step": 46 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.4312, + "step": 47 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.4413, + "step": 48 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3399, + "step": 49 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3861, + "step": 50 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.4977, + "step": 51 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.515, + "step": 52 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3766, + "step": 53 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3144, + "step": 54 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3097, + "step": 55 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3277, + "step": 56 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3147, + "step": 57 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.4264, + "step": 58 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3957, + "step": 59 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3379, + "step": 60 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3163, + "step": 61 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3506, + "step": 62 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3888, + "step": 63 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.347, + "step": 64 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.522, + "step": 65 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3002, + "step": 66 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.3523, + "step": 67 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.6818, + "step": 68 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.4075, + "step": 69 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.4022, + "step": 70 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.4122, + "step": 71 + }, + { + "epoch": 0.01, + "learning_rate": 0.0002, + "loss": 0.4788, + "step": 72 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3144, + "step": 73 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.4427, + "step": 74 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.453, + "step": 75 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3033, + "step": 76 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.475, + "step": 77 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.4291, + "step": 78 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.4268, + "step": 79 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3052, + "step": 80 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.2165, + "step": 81 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5203, + "step": 82 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3173, + "step": 83 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3227, + "step": 84 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.387, + "step": 85 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3191, + "step": 86 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.2438, + "step": 87 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3296, + "step": 88 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.2889, + "step": 89 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3352, + "step": 90 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3428, + "step": 91 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3576, + "step": 92 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3154, + "step": 93 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.4834, + "step": 94 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.2879, + "step": 95 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3734, + "step": 96 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.4016, + "step": 97 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.4421, + "step": 98 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3338, + "step": 99 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.4342, + "step": 100 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3754, + "step": 101 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5515, + "step": 102 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3301, + "step": 103 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3824, + "step": 104 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3394, + "step": 105 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.2945, + "step": 106 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3857, + "step": 107 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3952, + "step": 108 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3497, + "step": 109 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.4295, + "step": 110 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3641, + "step": 111 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.2941, + "step": 112 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.4429, + "step": 113 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.2982, + "step": 114 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.407, + "step": 115 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5319, + "step": 116 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3071, + "step": 117 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.353, + "step": 118 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.5562, + "step": 119 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.3285, + "step": 120 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3044, + "step": 121 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3912, + "step": 122 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3579, + "step": 123 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.4041, + "step": 124 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.4563, + "step": 125 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3469, + "step": 126 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3381, + "step": 127 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3378, + "step": 128 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.4174, + "step": 129 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3629, + "step": 130 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3426, + "step": 131 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.5591, + "step": 132 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.321, + "step": 133 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3866, + "step": 134 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.4362, + "step": 135 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3987, + "step": 136 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.4104, + "step": 137 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3393, + "step": 138 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3664, + "step": 139 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.2806, + "step": 140 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.5358, + "step": 141 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.5086, + "step": 142 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3179, + "step": 143 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.2922, + "step": 144 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.413, + "step": 145 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3515, + "step": 146 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3137, + "step": 147 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3654, + "step": 148 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.5826, + "step": 149 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.4276, + "step": 150 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.2985, + "step": 151 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3914, + "step": 152 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.2938, + "step": 153 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.2313, + "step": 154 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.4092, + "step": 155 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.4689, + "step": 156 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3192, + "step": 157 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3818, + "step": 158 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3851, + "step": 159 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.2992, + "step": 160 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3687, + "step": 161 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3448, + "step": 162 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3684, + "step": 163 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.2847, + "step": 164 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.3367, + "step": 165 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.2416, + "step": 166 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.4329, + "step": 167 + }, + { + "epoch": 0.03, + "learning_rate": 0.0002, + "loss": 0.4203, + "step": 168 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.355, + "step": 169 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3465, + "step": 170 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.2676, + "step": 171 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3554, + "step": 172 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.2724, + "step": 173 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.4885, + "step": 174 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.556, + "step": 175 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.298, + "step": 176 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.286, + "step": 177 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3485, + "step": 178 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3193, + "step": 179 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3288, + "step": 180 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.2939, + "step": 181 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3689, + "step": 182 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.324, + "step": 183 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3524, + "step": 184 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3494, + "step": 185 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3723, + "step": 186 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3995, + "step": 187 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.4912, + "step": 188 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3704, + "step": 189 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3676, + "step": 190 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.4459, + "step": 191 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.336, + "step": 192 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.627, + "step": 193 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.5047, + "step": 194 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3175, + "step": 195 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.4015, + "step": 196 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3854, + "step": 197 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3298, + "step": 198 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3249, + "step": 199 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3183, + "step": 200 + }, + { + "epoch": 0.04, + "eval_loss": 0.36924177408218384, + "eval_runtime": 159.4711, + "eval_samples_per_second": 6.271, + "eval_steps_per_second": 3.135, + "step": 200 + }, + { + "epoch": 0.04, + "mmlu_eval_accuracy": 0.5940031246983312, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.35714285714285715, + "mmlu_eval_accuracy_astronomy": 0.75, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, + "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, + "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, + "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": 0.6666666666666666, + "mmlu_eval_accuracy_electrical_engineering": 0.625, + "mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244, + "mmlu_eval_accuracy_formal_logic": 0.14285714285714285, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.625, + "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, + "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6923076923076923, + "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, + "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, + "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273, + "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.8461538461538461, + "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, + "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": 0.7441860465116279, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.37, + "mmlu_eval_accuracy_nutrition": 0.7878787878787878, + "mmlu_eval_accuracy_philosophy": 0.7058823529411765, + "mmlu_eval_accuracy_prehistory": 0.4857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, + "mmlu_eval_accuracy_professional_law": 0.4, + "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": 0.7037037037037037, + "mmlu_eval_accuracy_sociology": 0.9545454545454546, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.8947368421052632, + "mmlu_loss": 1.4302824790888604, + "step": 200 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.4524, + "step": 201 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.4312, + "step": 202 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.2717, + "step": 203 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3977, + "step": 204 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3864, + "step": 205 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.2953, + "step": 206 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3302, + "step": 207 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.4244, + "step": 208 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.4016, + "step": 209 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.4256, + "step": 210 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.4162, + "step": 211 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.282, + "step": 212 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.3207, + "step": 213 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.2938, + "step": 214 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.2823, + "step": 215 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.2986, + "step": 216 + }, + { + "epoch": 0.04, + "learning_rate": 0.0002, + "loss": 0.2869, + "step": 217 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.317, + "step": 218 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.2975, + "step": 219 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.2523, + "step": 220 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.3691, + "step": 221 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.341, + "step": 222 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.2603, + "step": 223 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.4282, + "step": 224 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.4877, + "step": 225 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.2787, + "step": 226 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.3901, + "step": 227 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.3039, + "step": 228 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.4518, + "step": 229 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.325, + "step": 230 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.2634, + "step": 231 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.3732, + "step": 232 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.3162, + "step": 233 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.3761, + "step": 234 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.2739, + "step": 235 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.344, + "step": 236 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.2995, + "step": 237 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.2882, + "step": 238 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.2372, + "step": 239 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.3331, + "step": 240 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.6815, + "step": 241 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.2672, + "step": 242 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.4416, + "step": 243 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.2813, + "step": 244 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.3574, + "step": 245 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.3237, + "step": 246 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.2798, + "step": 247 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.5538, + "step": 248 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.3436, + "step": 249 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.3082, + "step": 250 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.5797, + "step": 251 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.2435, + "step": 252 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.4687, + "step": 253 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.2921, + "step": 254 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.3151, + "step": 255 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.2787, + "step": 256 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.3544, + "step": 257 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.2891, + "step": 258 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.4261, + "step": 259 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.2829, + "step": 260 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.2342, + "step": 261 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.3482, + "step": 262 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.3608, + "step": 263 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.4406, + "step": 264 + }, + { + "epoch": 0.05, + "learning_rate": 0.0002, + "loss": 0.3543, + "step": 265 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.4826, + "step": 266 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.3967, + "step": 267 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.3463, + "step": 268 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.2837, + "step": 269 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.3827, + "step": 270 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.3583, + "step": 271 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.3035, + "step": 272 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.3266, + "step": 273 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5502, + "step": 274 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.4045, + "step": 275 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.2922, + "step": 276 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.4068, + "step": 277 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.32, + "step": 278 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.3039, + "step": 279 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5073, + "step": 280 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.357, + "step": 281 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.2757, + "step": 282 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.3473, + "step": 283 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.4409, + "step": 284 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.4095, + "step": 285 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.3177, + "step": 286 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5387, + "step": 287 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.3647, + "step": 288 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.4568, + "step": 289 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.4054, + "step": 290 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.3302, + "step": 291 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.3426, + "step": 292 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.4874, + "step": 293 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.5772, + "step": 294 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.2785, + "step": 295 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.3493, + "step": 296 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.3909, + "step": 297 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.4654, + "step": 298 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.4774, + "step": 299 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.2985, + "step": 300 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.4445, + "step": 301 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.3078, + "step": 302 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.2923, + "step": 303 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.373, + "step": 304 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.3412, + "step": 305 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.2629, + "step": 306 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.258, + "step": 307 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.4849, + "step": 308 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.4029, + "step": 309 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.3758, + "step": 310 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.4228, + "step": 311 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.3841, + "step": 312 + }, + { + "epoch": 0.06, + "learning_rate": 0.0002, + "loss": 0.3038, + "step": 313 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.4246, + "step": 314 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3501, + "step": 315 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3886, + "step": 316 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3705, + "step": 317 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3549, + "step": 318 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3336, + "step": 319 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3522, + "step": 320 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.2667, + "step": 321 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.4979, + "step": 322 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3397, + "step": 323 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3273, + "step": 324 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3509, + "step": 325 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3015, + "step": 326 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.2906, + "step": 327 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.2315, + "step": 328 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3104, + "step": 329 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.4869, + "step": 330 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.4246, + "step": 331 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3485, + "step": 332 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3974, + "step": 333 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.4052, + "step": 334 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.4124, + "step": 335 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.4349, + "step": 336 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3406, + "step": 337 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3532, + "step": 338 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.4889, + "step": 339 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.5194, + "step": 340 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.514, + "step": 341 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.327, + "step": 342 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3088, + "step": 343 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3761, + "step": 344 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.2712, + "step": 345 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3488, + "step": 346 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.4925, + "step": 347 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3292, + "step": 348 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.282, + "step": 349 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3427, + "step": 350 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3182, + "step": 351 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.4053, + "step": 352 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3911, + "step": 353 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.2906, + "step": 354 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.4012, + "step": 355 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3397, + "step": 356 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3832, + "step": 357 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3739, + "step": 358 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3106, + "step": 359 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3123, + "step": 360 + }, + { + "epoch": 0.07, + "learning_rate": 0.0002, + "loss": 0.3197, + "step": 361 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3987, + "step": 362 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.2746, + "step": 363 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3073, + "step": 364 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3593, + "step": 365 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3287, + "step": 366 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.354, + "step": 367 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3877, + "step": 368 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.4417, + "step": 369 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.2696, + "step": 370 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3225, + "step": 371 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3691, + "step": 372 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3359, + "step": 373 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.2475, + "step": 374 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3173, + "step": 375 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3585, + "step": 376 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.2903, + "step": 377 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3593, + "step": 378 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3115, + "step": 379 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5, + "step": 380 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.4372, + "step": 381 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.319, + "step": 382 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.2573, + "step": 383 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.5916, + "step": 384 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.4126, + "step": 385 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3318, + "step": 386 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.2875, + "step": 387 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.2891, + "step": 388 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3617, + "step": 389 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3148, + "step": 390 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.4457, + "step": 391 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.407, + "step": 392 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.4488, + "step": 393 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.4066, + "step": 394 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3808, + "step": 395 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.2792, + "step": 396 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.4491, + "step": 397 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3646, + "step": 398 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3868, + "step": 399 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.2754, + "step": 400 + }, + { + "epoch": 0.08, + "eval_loss": 0.358918160200119, + "eval_runtime": 159.4642, + "eval_samples_per_second": 6.271, + "eval_steps_per_second": 3.136, + "step": 400 + }, + { + "epoch": 0.08, + "mmlu_eval_accuracy": 0.5999132037466034, + "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.75, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453, + "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.5909090909090909, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.6363636363636364, + "mmlu_eval_accuracy_conceptual_physics": 0.5, + "mmlu_eval_accuracy_econometrics": 0.6666666666666666, + "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": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.59375, + "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.8636363636363636, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, + "mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6923076923076923, + "mmlu_eval_accuracy_high_school_physics": 0.23529411764705882, + "mmlu_eval_accuracy_high_school_psychology": 0.85, + "mmlu_eval_accuracy_high_school_statistics": 0.30434782608695654, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.5833333333333334, + "mmlu_eval_accuracy_international_law": 0.8461538461538461, + "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454, + "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.88, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.33, + "mmlu_eval_accuracy_nutrition": 0.7272727272727273, + "mmlu_eval_accuracy_philosophy": 0.7058823529411765, + "mmlu_eval_accuracy_prehistory": 0.42857142857142855, + "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, + "mmlu_eval_accuracy_professional_law": 0.3941176470588235, + "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, + "mmlu_eval_accuracy_professional_psychology": 0.6376811594202898, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.6296296296296297, + "mmlu_eval_accuracy_sociology": 0.9545454545454546, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.8947368421052632, + "mmlu_loss": 1.4201551996774524, + "step": 400 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3131, + "step": 401 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3419, + "step": 402 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3984, + "step": 403 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3459, + "step": 404 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.4061, + "step": 405 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.2641, + "step": 406 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.332, + "step": 407 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3048, + "step": 408 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3402, + "step": 409 + }, + { + "epoch": 0.08, + "learning_rate": 0.0002, + "loss": 0.3617, + "step": 410 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.4099, + "step": 411 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.6116, + "step": 412 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.4472, + "step": 413 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.2897, + "step": 414 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.3139, + "step": 415 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.4072, + "step": 416 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.3577, + "step": 417 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.4119, + "step": 418 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.3019, + "step": 419 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.5519, + "step": 420 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.2923, + "step": 421 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.4213, + "step": 422 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.3394, + "step": 423 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.3897, + "step": 424 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.2891, + "step": 425 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.285, + "step": 426 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.3758, + "step": 427 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.2731, + "step": 428 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.374, + "step": 429 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.3646, + "step": 430 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.4202, + "step": 431 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.2353, + "step": 432 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.383, + "step": 433 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.3019, + "step": 434 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.5666, + "step": 435 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.3783, + "step": 436 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.2525, + "step": 437 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.3956, + "step": 438 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.395, + "step": 439 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.2849, + "step": 440 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.3503, + "step": 441 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.3204, + "step": 442 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.3204, + "step": 443 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.3083, + "step": 444 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.4108, + "step": 445 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.2786, + "step": 446 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.5366, + "step": 447 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.2785, + "step": 448 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.3132, + "step": 449 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.4062, + "step": 450 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.3812, + "step": 451 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.2555, + "step": 452 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.4278, + "step": 453 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.2947, + "step": 454 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.3247, + "step": 455 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.5202, + "step": 456 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.3669, + "step": 457 + }, + { + "epoch": 0.09, + "learning_rate": 0.0002, + "loss": 0.3395, + "step": 458 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.358, + "step": 459 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.2811, + "step": 460 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.4165, + "step": 461 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.2591, + "step": 462 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3491, + "step": 463 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.33, + "step": 464 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.4262, + "step": 465 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3111, + "step": 466 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.4079, + "step": 467 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.4417, + "step": 468 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.261, + "step": 469 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.2752, + "step": 470 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.2719, + "step": 471 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3703, + "step": 472 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.2798, + "step": 473 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3553, + "step": 474 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3205, + "step": 475 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3406, + "step": 476 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3759, + "step": 477 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3276, + "step": 478 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3335, + "step": 479 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5614, + "step": 480 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.2922, + "step": 481 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3785, + "step": 482 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3085, + "step": 483 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.4565, + "step": 484 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.4444, + "step": 485 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.2936, + "step": 486 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3858, + "step": 487 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3834, + "step": 488 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3273, + "step": 489 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3334, + "step": 490 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3236, + "step": 491 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.2944, + "step": 492 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.5452, + "step": 493 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3507, + "step": 494 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3539, + "step": 495 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.2818, + "step": 496 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.4009, + "step": 497 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3196, + "step": 498 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.4456, + "step": 499 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.2854, + "step": 500 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.359, + "step": 501 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3794, + "step": 502 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.581, + "step": 503 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3004, + "step": 504 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3796, + "step": 505 + }, + { + "epoch": 0.1, + "learning_rate": 0.0002, + "loss": 0.3091, + "step": 506 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.4228, + "step": 507 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3734, + "step": 508 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.2583, + "step": 509 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3844, + "step": 510 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3349, + "step": 511 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.347, + "step": 512 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.2649, + "step": 513 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3511, + "step": 514 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.1902, + "step": 515 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.2628, + "step": 516 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.258, + "step": 517 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.4467, + "step": 518 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3565, + "step": 519 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3713, + "step": 520 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.2867, + "step": 521 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.2861, + "step": 522 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.2694, + "step": 523 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.4202, + "step": 524 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.4187, + "step": 525 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.4243, + "step": 526 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.4473, + "step": 527 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.4199, + "step": 528 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3368, + "step": 529 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3606, + "step": 530 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.6544, + "step": 531 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3448, + "step": 532 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3672, + "step": 533 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3245, + "step": 534 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3069, + "step": 535 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.47, + "step": 536 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3799, + "step": 537 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3455, + "step": 538 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.4227, + "step": 539 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3065, + "step": 540 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3319, + "step": 541 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5573, + "step": 542 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3221, + "step": 543 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.2999, + "step": 544 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.4778, + "step": 545 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.4276, + "step": 546 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3707, + "step": 547 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3303, + "step": 548 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.5229, + "step": 549 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3393, + "step": 550 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3118, + "step": 551 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.2864, + "step": 552 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3364, + "step": 553 + }, + { + "epoch": 0.11, + "learning_rate": 0.0002, + "loss": 0.3086, + "step": 554 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3338, + "step": 555 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.2945, + "step": 556 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3808, + "step": 557 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.2725, + "step": 558 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.2995, + "step": 559 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3137, + "step": 560 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3209, + "step": 561 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.2393, + "step": 562 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3013, + "step": 563 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.2315, + "step": 564 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3284, + "step": 565 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3422, + "step": 566 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.4019, + "step": 567 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5752, + "step": 568 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.317, + "step": 569 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3557, + "step": 570 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3452, + "step": 571 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3375, + "step": 572 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.2105, + "step": 573 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.4988, + "step": 574 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.2949, + "step": 575 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3991, + "step": 576 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3326, + "step": 577 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3207, + "step": 578 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3678, + "step": 579 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.2938, + "step": 580 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3795, + "step": 581 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.4644, + "step": 582 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.4052, + "step": 583 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.2996, + "step": 584 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.455, + "step": 585 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.4427, + "step": 586 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3916, + "step": 587 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3169, + "step": 588 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.576, + "step": 589 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.4151, + "step": 590 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.2811, + "step": 591 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3179, + "step": 592 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.2883, + "step": 593 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5965, + "step": 594 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3987, + "step": 595 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.4434, + "step": 596 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.5114, + "step": 597 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.2867, + "step": 598 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.255, + "step": 599 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.33, + "step": 600 + }, + { + "epoch": 0.12, + "eval_loss": 0.3515583574771881, + "eval_runtime": 159.3504, + "eval_samples_per_second": 6.275, + "eval_steps_per_second": 3.138, + "step": 600 + }, + { + "epoch": 0.12, + "mmlu_eval_accuracy": 0.6095696896582704, + "mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.8125, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, + "mmlu_eval_accuracy_college_biology": 0.625, + "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": 0.46153846153846156, + "mmlu_eval_accuracy_econometrics": 0.6666666666666666, + "mmlu_eval_accuracy_electrical_engineering": 0.5625, + "mmlu_eval_accuracy_elementary_mathematics": 0.4634146341463415, + "mmlu_eval_accuracy_formal_logic": 0.2857142857142857, + "mmlu_eval_accuracy_global_facts": 0.4, + "mmlu_eval_accuracy_high_school_biology": 0.625, + "mmlu_eval_accuracy_high_school_chemistry": 0.45454545454545453, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, + "mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966, + "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": 0.30434782608695654, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "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": 0.7222222222222222, + "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": 0.6052631578947368, + "mmlu_eval_accuracy_moral_scenarios": 0.36, + "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_philosophy": 0.6764705882352942, + "mmlu_eval_accuracy_prehistory": 0.5428571428571428, + "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, + "mmlu_eval_accuracy_professional_law": 0.4, + "mmlu_eval_accuracy_professional_medicine": 0.6774193548387096, + "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, + "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": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.7894736842105263, + "mmlu_loss": 1.383797744780234, + "step": 600 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3336, + "step": 601 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3879, + "step": 602 + }, + { + "epoch": 0.12, + "learning_rate": 0.0002, + "loss": 0.3637, + "step": 603 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3342, + "step": 604 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.2545, + "step": 605 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.478, + "step": 606 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3672, + "step": 607 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3338, + "step": 608 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.2637, + "step": 609 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.5447, + "step": 610 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.2509, + "step": 611 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3597, + "step": 612 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3357, + "step": 613 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.2906, + "step": 614 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3108, + "step": 615 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.4441, + "step": 616 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.4973, + "step": 617 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.4386, + "step": 618 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.2435, + "step": 619 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3177, + "step": 620 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.2406, + "step": 621 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.344, + "step": 622 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.519, + "step": 623 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.4641, + "step": 624 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3593, + "step": 625 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.442, + "step": 626 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.2441, + "step": 627 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3301, + "step": 628 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3552, + "step": 629 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3342, + "step": 630 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3023, + "step": 631 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.4696, + "step": 632 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3121, + "step": 633 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3117, + "step": 634 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3381, + "step": 635 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.4275, + "step": 636 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.5997, + "step": 637 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3677, + "step": 638 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3019, + "step": 639 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3838, + "step": 640 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.5191, + "step": 641 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.2501, + "step": 642 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.2363, + "step": 643 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3212, + "step": 644 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.4166, + "step": 645 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3708, + "step": 646 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3446, + "step": 647 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.2667, + "step": 648 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3117, + "step": 649 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.4283, + "step": 650 + }, + { + "epoch": 0.13, + "learning_rate": 0.0002, + "loss": 0.3815, + "step": 651 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.3552, + "step": 652 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.2827, + "step": 653 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5081, + "step": 654 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.3505, + "step": 655 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.3409, + "step": 656 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.4335, + "step": 657 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.3517, + "step": 658 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.4015, + "step": 659 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.2506, + "step": 660 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.2683, + "step": 661 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.3261, + "step": 662 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.3973, + "step": 663 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.3333, + "step": 664 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.2956, + "step": 665 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.4357, + "step": 666 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.3456, + "step": 667 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.2607, + "step": 668 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.2917, + "step": 669 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5605, + "step": 670 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.2892, + "step": 671 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.4714, + "step": 672 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.3037, + "step": 673 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.4018, + "step": 674 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.29, + "step": 675 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.3111, + "step": 676 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.3386, + "step": 677 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.2688, + "step": 678 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.2314, + "step": 679 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.2978, + "step": 680 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.4678, + "step": 681 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.2993, + "step": 682 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.3585, + "step": 683 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.2585, + "step": 684 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.3749, + "step": 685 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.5372, + "step": 686 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.6269, + "step": 687 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.3462, + "step": 688 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.3386, + "step": 689 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.3011, + "step": 690 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.3638, + "step": 691 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.4762, + "step": 692 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.2494, + "step": 693 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.25, + "step": 694 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.3209, + "step": 695 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.3363, + "step": 696 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.3057, + "step": 697 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.29, + "step": 698 + }, + { + "epoch": 0.14, + "learning_rate": 0.0002, + "loss": 0.279, + "step": 699 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.4144, + "step": 700 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.4035, + "step": 701 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.4001, + "step": 702 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3917, + "step": 703 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.4514, + "step": 704 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.275, + "step": 705 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.4256, + "step": 706 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3787, + "step": 707 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.4171, + "step": 708 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3542, + "step": 709 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.2872, + "step": 710 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3524, + "step": 711 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.4246, + "step": 712 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.2009, + "step": 713 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3558, + "step": 714 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.4853, + "step": 715 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3248, + "step": 716 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3283, + "step": 717 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3036, + "step": 718 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.2898, + "step": 719 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.2929, + "step": 720 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3195, + "step": 721 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3062, + "step": 722 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3071, + "step": 723 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3382, + "step": 724 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3026, + "step": 725 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.2771, + "step": 726 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3467, + "step": 727 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3839, + "step": 728 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.2969, + "step": 729 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.2924, + "step": 730 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.4699, + "step": 731 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.2693, + "step": 732 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3428, + "step": 733 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3306, + "step": 734 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.4782, + "step": 735 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.4112, + "step": 736 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3568, + "step": 737 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3454, + "step": 738 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3465, + "step": 739 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3941, + "step": 740 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.4345, + "step": 741 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.234, + "step": 742 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3432, + "step": 743 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3649, + "step": 744 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.4051, + "step": 745 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3145, + "step": 746 + }, + { + "epoch": 0.15, + "learning_rate": 0.0002, + "loss": 0.3366, + "step": 747 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.2769, + "step": 748 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.438, + "step": 749 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.4599, + "step": 750 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.465, + "step": 751 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.2447, + "step": 752 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.3375, + "step": 753 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.356, + "step": 754 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.3919, + "step": 755 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.4425, + "step": 756 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.2936, + "step": 757 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.3871, + "step": 758 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.3868, + "step": 759 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.3073, + "step": 760 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.3297, + "step": 761 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.3452, + "step": 762 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.2743, + "step": 763 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.4263, + "step": 764 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.263, + "step": 765 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.249, + "step": 766 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.3263, + "step": 767 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.3864, + "step": 768 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.3744, + "step": 769 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.3379, + "step": 770 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.2812, + "step": 771 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.2239, + "step": 772 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.2832, + "step": 773 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.3457, + "step": 774 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.3176, + "step": 775 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.3036, + "step": 776 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.3842, + "step": 777 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.2456, + "step": 778 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.373, + "step": 779 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.411, + "step": 780 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.2447, + "step": 781 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.262, + "step": 782 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.331, + "step": 783 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.2911, + "step": 784 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.2906, + "step": 785 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.3722, + "step": 786 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.2862, + "step": 787 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.4915, + "step": 788 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.3048, + "step": 789 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.3548, + "step": 790 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.2886, + "step": 791 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.2657, + "step": 792 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.4349, + "step": 793 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.3265, + "step": 794 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.2918, + "step": 795 + }, + { + "epoch": 0.16, + "learning_rate": 0.0002, + "loss": 0.2429, + "step": 796 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.3048, + "step": 797 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.3035, + "step": 798 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.3287, + "step": 799 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.2949, + "step": 800 + }, + { + "epoch": 0.17, + "eval_loss": 0.3455464243888855, + "eval_runtime": 159.257, + "eval_samples_per_second": 6.279, + "eval_steps_per_second": 3.14, + "step": 800 + }, + { + "epoch": 0.17, + "mmlu_eval_accuracy": 0.5986589042634419, + "mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.6875, + "mmlu_eval_accuracy_business_ethics": 0.7272727272727273, + "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727, + "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, + "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": 0.5384615384615384, + "mmlu_eval_accuracy_econometrics": 0.5833333333333334, + "mmlu_eval_accuracy_electrical_engineering": 0.75, + "mmlu_eval_accuracy_elementary_mathematics": 0.4634146341463415, + "mmlu_eval_accuracy_formal_logic": 0.21428571428571427, + "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_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.6046511627906976, + "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, + "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, + "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667, + "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216, + "mmlu_eval_accuracy_high_school_us_history": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.5, + "mmlu_eval_accuracy_international_law": 0.9230769230769231, + "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.92, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, + "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, + "mmlu_eval_accuracy_moral_scenarios": 0.36, + "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_philosophy": 0.7058823529411765, + "mmlu_eval_accuracy_prehistory": 0.4857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.5483870967741935, + "mmlu_eval_accuracy_professional_law": 0.4, + "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806, + "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.6666666666666666, + "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": 0.7894736842105263, + "mmlu_loss": 1.5759579020287287, + "step": 800 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.4054, + "step": 801 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.4718, + "step": 802 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.2695, + "step": 803 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.3716, + "step": 804 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.4109, + "step": 805 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.3176, + "step": 806 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.4368, + "step": 807 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.3341, + "step": 808 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.3081, + "step": 809 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.2677, + "step": 810 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.3201, + "step": 811 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.2704, + "step": 812 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.3967, + "step": 813 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.8647, + "step": 814 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.3318, + "step": 815 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.2868, + "step": 816 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.4796, + "step": 817 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.3111, + "step": 818 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.2656, + "step": 819 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.2656, + "step": 820 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.2475, + "step": 821 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.388, + "step": 822 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.2936, + "step": 823 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.2784, + "step": 824 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.3155, + "step": 825 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.1861, + "step": 826 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.2374, + "step": 827 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.2553, + "step": 828 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.2571, + "step": 829 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.3295, + "step": 830 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.4078, + "step": 831 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.2489, + "step": 832 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.2886, + "step": 833 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.2767, + "step": 834 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.6366, + "step": 835 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.4288, + "step": 836 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.2506, + "step": 837 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.4165, + "step": 838 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.2654, + "step": 839 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.3846, + "step": 840 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.3165, + "step": 841 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.3183, + "step": 842 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.329, + "step": 843 + }, + { + "epoch": 0.17, + "learning_rate": 0.0002, + "loss": 0.3764, + "step": 844 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3789, + "step": 845 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.2707, + "step": 846 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.4665, + "step": 847 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3743, + "step": 848 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3822, + "step": 849 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.2279, + "step": 850 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3113, + "step": 851 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3191, + "step": 852 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3549, + "step": 853 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3279, + "step": 854 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3831, + "step": 855 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.2911, + "step": 856 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.5018, + "step": 857 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.2493, + "step": 858 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3465, + "step": 859 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.4005, + "step": 860 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3605, + "step": 861 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.4068, + "step": 862 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3948, + "step": 863 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3638, + "step": 864 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3076, + "step": 865 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3566, + "step": 866 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.4456, + "step": 867 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3633, + "step": 868 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.5587, + "step": 869 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.5333, + "step": 870 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3908, + "step": 871 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.2926, + "step": 872 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3232, + "step": 873 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.4943, + "step": 874 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3418, + "step": 875 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3492, + "step": 876 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3138, + "step": 877 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3047, + "step": 878 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.2521, + "step": 879 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.2705, + "step": 880 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3355, + "step": 881 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3358, + "step": 882 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3186, + "step": 883 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3052, + "step": 884 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.2069, + "step": 885 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3336, + "step": 886 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.2978, + "step": 887 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.2614, + "step": 888 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.2852, + "step": 889 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.324, + "step": 890 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.4048, + "step": 891 + }, + { + "epoch": 0.18, + "learning_rate": 0.0002, + "loss": 0.3176, + "step": 892 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.4053, + "step": 893 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.2959, + "step": 894 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3648, + "step": 895 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3507, + "step": 896 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3496, + "step": 897 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.2629, + "step": 898 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3048, + "step": 899 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3152, + "step": 900 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3095, + "step": 901 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3185, + "step": 902 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3165, + "step": 903 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3354, + "step": 904 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3616, + "step": 905 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.4569, + "step": 906 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.2608, + "step": 907 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.2492, + "step": 908 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.2194, + "step": 909 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3576, + "step": 910 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3949, + "step": 911 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.4273, + "step": 912 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3187, + "step": 913 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.4265, + "step": 914 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.375, + "step": 915 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.4456, + "step": 916 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.2682, + "step": 917 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3754, + "step": 918 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3388, + "step": 919 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.4208, + "step": 920 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.2531, + "step": 921 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3969, + "step": 922 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.2425, + "step": 923 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.2948, + "step": 924 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3525, + "step": 925 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.2286, + "step": 926 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.2691, + "step": 927 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.2962, + "step": 928 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3169, + "step": 929 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3709, + "step": 930 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.2728, + "step": 931 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.4006, + "step": 932 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.2902, + "step": 933 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3399, + "step": 934 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.4129, + "step": 935 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3946, + "step": 936 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.3531, + "step": 937 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.5031, + "step": 938 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.2395, + "step": 939 + }, + { + "epoch": 0.19, + "learning_rate": 0.0002, + "loss": 0.4327, + "step": 940 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3431, + "step": 941 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3588, + "step": 942 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.2331, + "step": 943 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3002, + "step": 944 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.2886, + "step": 945 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3718, + "step": 946 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.4566, + "step": 947 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3216, + "step": 948 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.4049, + "step": 949 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.5468, + "step": 950 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.2624, + "step": 951 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3018, + "step": 952 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.328, + "step": 953 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3149, + "step": 954 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.293, + "step": 955 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3949, + "step": 956 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.2829, + "step": 957 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.5452, + "step": 958 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3265, + "step": 959 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3454, + "step": 960 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.2472, + "step": 961 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3075, + "step": 962 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3953, + "step": 963 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.4237, + "step": 964 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3237, + "step": 965 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.224, + "step": 966 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3196, + "step": 967 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3051, + "step": 968 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.2262, + "step": 969 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3367, + "step": 970 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.2836, + "step": 971 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.2292, + "step": 972 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3596, + "step": 973 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.251, + "step": 974 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3142, + "step": 975 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.2804, + "step": 976 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.2589, + "step": 977 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.2276, + "step": 978 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.247, + "step": 979 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3212, + "step": 980 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.2639, + "step": 981 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.4801, + "step": 982 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3661, + "step": 983 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.2641, + "step": 984 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.4465, + "step": 985 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.2491, + "step": 986 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3758, + "step": 987 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.3068, + "step": 988 + }, + { + "epoch": 0.2, + "learning_rate": 0.0002, + "loss": 0.2582, + "step": 989 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.3422, + "step": 990 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.3677, + "step": 991 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.2968, + "step": 992 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.2564, + "step": 993 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.2396, + "step": 994 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.5021, + "step": 995 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.3229, + "step": 996 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.3049, + "step": 997 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.3978, + "step": 998 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.5366, + "step": 999 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.2309, + "step": 1000 + }, + { + "epoch": 0.21, + "eval_loss": 0.34240442514419556, + "eval_runtime": 159.3616, + "eval_samples_per_second": 6.275, + "eval_steps_per_second": 3.138, + "step": 1000 + }, + { + "epoch": 0.21, + "mmlu_eval_accuracy": 0.6036630168245939, + "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182, + "mmlu_eval_accuracy_anatomy": 0.5, + "mmlu_eval_accuracy_astronomy": 0.75, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.25, + "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, + "mmlu_eval_accuracy_college_mathematics": 0.6363636363636364, + "mmlu_eval_accuracy_college_medicine": 0.6818181818181818, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.5454545454545454, + "mmlu_eval_accuracy_conceptual_physics": 0.6538461538461539, + "mmlu_eval_accuracy_econometrics": 0.6666666666666666, + "mmlu_eval_accuracy_electrical_engineering": 0.625, + "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": 0.5625, + "mmlu_eval_accuracy_high_school_chemistry": 0.45454545454545453, + "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666, + "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778, + "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093, + "mmlu_eval_accuracy_high_school_mathematics": 0.4482758620689655, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, + "mmlu_eval_accuracy_high_school_physics": 0.11764705882352941, + "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, + "mmlu_eval_accuracy_human_aging": 0.7391304347826086, + "mmlu_eval_accuracy_human_sexuality": 0.6666666666666666, + "mmlu_eval_accuracy_international_law": 0.9230769230769231, + "mmlu_eval_accuracy_jurisprudence": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.6111111111111112, + "mmlu_eval_accuracy_machine_learning": 0.45454545454545453, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.92, + "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091, + "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, + "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527, + "mmlu_eval_accuracy_moral_scenarios": 0.36, + "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": 0.40588235294117647, + "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": 0.6666666666666666, + "mmlu_eval_accuracy_sociology": 0.9545454545454546, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.6111111111111112, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 1.4610189728964091, + "step": 1000 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.4934, + "step": 1001 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.2727, + "step": 1002 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.2757, + "step": 1003 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.4271, + "step": 1004 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.2999, + "step": 1005 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.2883, + "step": 1006 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.3823, + "step": 1007 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.4903, + "step": 1008 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.3183, + "step": 1009 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.397, + "step": 1010 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.3115, + "step": 1011 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.4355, + "step": 1012 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.274, + "step": 1013 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.4141, + "step": 1014 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.418, + "step": 1015 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.2875, + "step": 1016 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.2975, + "step": 1017 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.3519, + "step": 1018 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.2645, + "step": 1019 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.3193, + "step": 1020 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.2065, + "step": 1021 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.3574, + "step": 1022 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.3843, + "step": 1023 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.3478, + "step": 1024 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.3781, + "step": 1025 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.2993, + "step": 1026 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.2651, + "step": 1027 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.3909, + "step": 1028 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.5299, + "step": 1029 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.4472, + "step": 1030 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.3763, + "step": 1031 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.4319, + "step": 1032 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.2601, + "step": 1033 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.2539, + "step": 1034 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.2708, + "step": 1035 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.2716, + "step": 1036 + }, + { + "epoch": 0.21, + "learning_rate": 0.0002, + "loss": 0.2905, + "step": 1037 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3437, + "step": 1038 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3777, + "step": 1039 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3246, + "step": 1040 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3998, + "step": 1041 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.2726, + "step": 1042 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3591, + "step": 1043 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.2694, + "step": 1044 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3669, + "step": 1045 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.4534, + "step": 1046 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.2806, + "step": 1047 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.348, + "step": 1048 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3629, + "step": 1049 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.2536, + "step": 1050 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3034, + "step": 1051 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.2936, + "step": 1052 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3849, + "step": 1053 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3761, + "step": 1054 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.343, + "step": 1055 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.2749, + "step": 1056 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.329, + "step": 1057 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3792, + "step": 1058 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3433, + "step": 1059 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.2232, + "step": 1060 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.5412, + "step": 1061 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.453, + "step": 1062 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.2917, + "step": 1063 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.2818, + "step": 1064 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.2746, + "step": 1065 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3564, + "step": 1066 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.298, + "step": 1067 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.2601, + "step": 1068 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.4126, + "step": 1069 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3852, + "step": 1070 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.2738, + "step": 1071 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3528, + "step": 1072 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3714, + "step": 1073 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3275, + "step": 1074 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.436, + "step": 1075 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.2869, + "step": 1076 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3169, + "step": 1077 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3515, + "step": 1078 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.4167, + "step": 1079 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3007, + "step": 1080 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3505, + "step": 1081 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.1987, + "step": 1082 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3311, + "step": 1083 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.3327, + "step": 1084 + }, + { + "epoch": 0.22, + "learning_rate": 0.0002, + "loss": 0.4333, + "step": 1085 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.4852, + "step": 1086 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3692, + "step": 1087 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.2804, + "step": 1088 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.2757, + "step": 1089 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.2836, + "step": 1090 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.36, + "step": 1091 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3251, + "step": 1092 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.2676, + "step": 1093 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3695, + "step": 1094 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3958, + "step": 1095 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.2812, + "step": 1096 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3103, + "step": 1097 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3681, + "step": 1098 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3071, + "step": 1099 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.4287, + "step": 1100 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3983, + "step": 1101 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3019, + "step": 1102 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3475, + "step": 1103 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3823, + "step": 1104 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.371, + "step": 1105 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.2103, + "step": 1106 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3499, + "step": 1107 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3728, + "step": 1108 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.2749, + "step": 1109 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3678, + "step": 1110 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.444, + "step": 1111 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3431, + "step": 1112 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3941, + "step": 1113 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.335, + "step": 1114 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.2307, + "step": 1115 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.4715, + "step": 1116 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3797, + "step": 1117 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3209, + "step": 1118 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3698, + "step": 1119 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.2383, + "step": 1120 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3897, + "step": 1121 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3363, + "step": 1122 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.4683, + "step": 1123 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3432, + "step": 1124 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.4679, + "step": 1125 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.2691, + "step": 1126 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.2982, + "step": 1127 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.2467, + "step": 1128 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.2586, + "step": 1129 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.3816, + "step": 1130 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.4294, + "step": 1131 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.4064, + "step": 1132 + }, + { + "epoch": 0.23, + "learning_rate": 0.0002, + "loss": 0.4467, + "step": 1133 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.2648, + "step": 1134 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.2737, + "step": 1135 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.2972, + "step": 1136 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.3052, + "step": 1137 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.2764, + "step": 1138 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.2214, + "step": 1139 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.2559, + "step": 1140 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.2989, + "step": 1141 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.3718, + "step": 1142 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.3936, + "step": 1143 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.3278, + "step": 1144 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.2424, + "step": 1145 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.291, + "step": 1146 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.2476, + "step": 1147 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.3314, + "step": 1148 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.4345, + "step": 1149 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.2737, + "step": 1150 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.3019, + "step": 1151 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.3984, + "step": 1152 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.4365, + "step": 1153 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.4559, + "step": 1154 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.33, + "step": 1155 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.2701, + "step": 1156 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.3531, + "step": 1157 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.459, + "step": 1158 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.1893, + "step": 1159 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.3033, + "step": 1160 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.3243, + "step": 1161 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.2844, + "step": 1162 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.4774, + "step": 1163 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.361, + "step": 1164 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.291, + "step": 1165 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.2967, + "step": 1166 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.3633, + "step": 1167 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.2392, + "step": 1168 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.3356, + "step": 1169 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.2664, + "step": 1170 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.2522, + "step": 1171 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.3911, + "step": 1172 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.3153, + "step": 1173 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.3247, + "step": 1174 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.3252, + "step": 1175 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.3449, + "step": 1176 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.2576, + "step": 1177 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.2894, + "step": 1178 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.3495, + "step": 1179 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.3257, + "step": 1180 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.251, + "step": 1181 + }, + { + "epoch": 0.24, + "learning_rate": 0.0002, + "loss": 0.2906, + "step": 1182 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.362, + "step": 1183 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.3473, + "step": 1184 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.5011, + "step": 1185 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.2469, + "step": 1186 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.2893, + "step": 1187 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.3803, + "step": 1188 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.274, + "step": 1189 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.2162, + "step": 1190 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.311, + "step": 1191 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.4521, + "step": 1192 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.3156, + "step": 1193 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.2632, + "step": 1194 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.3344, + "step": 1195 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.5234, + "step": 1196 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.227, + "step": 1197 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.3469, + "step": 1198 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.3397, + "step": 1199 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.2175, + "step": 1200 + }, + { + "epoch": 0.25, + "eval_loss": 0.3368752598762512, + "eval_runtime": 159.297, + "eval_samples_per_second": 6.278, + "eval_steps_per_second": 3.139, + "step": 1200 + }, + { + "epoch": 0.25, + "mmlu_eval_accuracy": 0.604796655596056, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.8125, + "mmlu_eval_accuracy_business_ethics": 0.5454545454545454, + "mmlu_eval_accuracy_clinical_knowledge": 0.6551724137931034, + "mmlu_eval_accuracy_college_biology": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365, + "mmlu_eval_accuracy_college_mathematics": 0.5454545454545454, + "mmlu_eval_accuracy_college_medicine": 0.6818181818181818, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.6363636363636364, + "mmlu_eval_accuracy_conceptual_physics": 0.5769230769230769, + "mmlu_eval_accuracy_econometrics": 0.5833333333333334, + "mmlu_eval_accuracy_electrical_engineering": 0.75, + "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": 0.625, + "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": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, + "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": 0.8833333333333333, + "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, + "mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727, + "mmlu_eval_accuracy_high_school_world_history": 0.6538461538461539, + "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": 0.6363636363636364, + "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": 0.5263157894736842, + "mmlu_eval_accuracy_moral_scenarios": 0.32, + "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_philosophy": 0.7058823529411765, + "mmlu_eval_accuracy_prehistory": 0.5142857142857142, + "mmlu_eval_accuracy_professional_accounting": 0.5161290322580645, + "mmlu_eval_accuracy_professional_law": 0.4, + "mmlu_eval_accuracy_professional_medicine": 0.6129032258064516, + "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.6666666666666666, + "mmlu_eval_accuracy_sociology": 0.9545454545454546, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.5555555555555556, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 1.4258578755447822, + "step": 1200 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.3934, + "step": 1201 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.2435, + "step": 1202 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.3464, + "step": 1203 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.3642, + "step": 1204 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.3491, + "step": 1205 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.2644, + "step": 1206 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.2944, + "step": 1207 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.3238, + "step": 1208 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.2265, + "step": 1209 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.2891, + "step": 1210 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.3696, + "step": 1211 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.3022, + "step": 1212 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.2857, + "step": 1213 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.4168, + "step": 1214 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.3136, + "step": 1215 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.363, + "step": 1216 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.345, + "step": 1217 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.3945, + "step": 1218 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.2759, + "step": 1219 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.297, + "step": 1220 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.237, + "step": 1221 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.6326, + "step": 1222 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.2829, + "step": 1223 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.232, + "step": 1224 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.2952, + "step": 1225 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.3061, + "step": 1226 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.3009, + "step": 1227 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.3351, + "step": 1228 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.3436, + "step": 1229 + }, + { + "epoch": 0.25, + "learning_rate": 0.0002, + "loss": 0.3163, + "step": 1230 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.3444, + "step": 1231 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.2698, + "step": 1232 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.318, + "step": 1233 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.2286, + "step": 1234 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.344, + "step": 1235 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.3274, + "step": 1236 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.2399, + "step": 1237 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.299, + "step": 1238 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.5281, + "step": 1239 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.2902, + "step": 1240 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.3541, + "step": 1241 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.3137, + "step": 1242 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.4756, + "step": 1243 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.3564, + "step": 1244 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.4608, + "step": 1245 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.438, + "step": 1246 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.4233, + "step": 1247 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.4087, + "step": 1248 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.4123, + "step": 1249 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.3395, + "step": 1250 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.3677, + "step": 1251 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.3982, + "step": 1252 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.4741, + "step": 1253 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.3421, + "step": 1254 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.3133, + "step": 1255 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.3753, + "step": 1256 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.2696, + "step": 1257 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.3316, + "step": 1258 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.4674, + "step": 1259 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.2973, + "step": 1260 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.2093, + "step": 1261 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.3269, + "step": 1262 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.4071, + "step": 1263 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.4745, + "step": 1264 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.3916, + "step": 1265 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.2964, + "step": 1266 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.4568, + "step": 1267 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.2627, + "step": 1268 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.3151, + "step": 1269 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.2679, + "step": 1270 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.3435, + "step": 1271 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.3807, + "step": 1272 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.2732, + "step": 1273 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.353, + "step": 1274 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.404, + "step": 1275 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.304, + "step": 1276 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.4008, + "step": 1277 + }, + { + "epoch": 0.26, + "learning_rate": 0.0002, + "loss": 0.2743, + "step": 1278 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.3276, + "step": 1279 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.3674, + "step": 1280 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.2979, + "step": 1281 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.2657, + "step": 1282 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.314, + "step": 1283 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.293, + "step": 1284 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.4689, + "step": 1285 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.2089, + "step": 1286 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.3878, + "step": 1287 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.3381, + "step": 1288 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.377, + "step": 1289 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.319, + "step": 1290 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.3792, + "step": 1291 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.2516, + "step": 1292 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.4335, + "step": 1293 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.384, + "step": 1294 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.3692, + "step": 1295 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.2112, + "step": 1296 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.3993, + "step": 1297 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.4006, + "step": 1298 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.2382, + "step": 1299 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.3246, + "step": 1300 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.3233, + "step": 1301 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.4042, + "step": 1302 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.313, + "step": 1303 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.2501, + "step": 1304 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.2538, + "step": 1305 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.3374, + "step": 1306 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.2801, + "step": 1307 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.344, + "step": 1308 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.446, + "step": 1309 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.4066, + "step": 1310 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.2646, + "step": 1311 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.2941, + "step": 1312 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.4165, + "step": 1313 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.2693, + "step": 1314 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.3053, + "step": 1315 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.3058, + "step": 1316 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.2666, + "step": 1317 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.3697, + "step": 1318 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.3374, + "step": 1319 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.4698, + "step": 1320 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.2904, + "step": 1321 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.3597, + "step": 1322 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.2734, + "step": 1323 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.287, + "step": 1324 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.2877, + "step": 1325 + }, + { + "epoch": 0.27, + "learning_rate": 0.0002, + "loss": 0.3607, + "step": 1326 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.28, + "step": 1327 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.2711, + "step": 1328 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.4512, + "step": 1329 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.2502, + "step": 1330 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.4236, + "step": 1331 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.48, + "step": 1332 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.4059, + "step": 1333 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.4075, + "step": 1334 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.2909, + "step": 1335 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.3353, + "step": 1336 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.2889, + "step": 1337 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.2324, + "step": 1338 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.2577, + "step": 1339 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.309, + "step": 1340 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.2902, + "step": 1341 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.3583, + "step": 1342 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.3089, + "step": 1343 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.3162, + "step": 1344 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.3177, + "step": 1345 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.3074, + "step": 1346 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.337, + "step": 1347 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.3847, + "step": 1348 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.3894, + "step": 1349 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.2633, + "step": 1350 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.2988, + "step": 1351 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.3381, + "step": 1352 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.331, + "step": 1353 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.3434, + "step": 1354 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.3924, + "step": 1355 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.4081, + "step": 1356 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.297, + "step": 1357 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.373, + "step": 1358 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.329, + "step": 1359 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.3728, + "step": 1360 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.3213, + "step": 1361 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.3627, + "step": 1362 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.3423, + "step": 1363 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.2909, + "step": 1364 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.2971, + "step": 1365 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.3209, + "step": 1366 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.336, + "step": 1367 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.4604, + "step": 1368 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.6131, + "step": 1369 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.2421, + "step": 1370 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.2734, + "step": 1371 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.283, + "step": 1372 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.352, + "step": 1373 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.4599, + "step": 1374 + }, + { + "epoch": 0.28, + "learning_rate": 0.0002, + "loss": 0.2357, + "step": 1375 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.2923, + "step": 1376 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.2678, + "step": 1377 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.5359, + "step": 1378 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.291, + "step": 1379 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.3565, + "step": 1380 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.4448, + "step": 1381 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.3475, + "step": 1382 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.3464, + "step": 1383 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.3087, + "step": 1384 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.2698, + "step": 1385 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.3618, + "step": 1386 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.2829, + "step": 1387 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.272, + "step": 1388 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.305, + "step": 1389 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.3789, + "step": 1390 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.2664, + "step": 1391 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.2509, + "step": 1392 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.2936, + "step": 1393 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.3184, + "step": 1394 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.3389, + "step": 1395 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.2824, + "step": 1396 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.343, + "step": 1397 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.3114, + "step": 1398 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.4532, + "step": 1399 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.3418, + "step": 1400 + }, + { + "epoch": 0.29, + "eval_loss": 0.33663323521614075, + "eval_runtime": 159.4231, + "eval_samples_per_second": 6.273, + "eval_steps_per_second": 3.136, + "step": 1400 + }, + { + "epoch": 0.29, + "mmlu_eval_accuracy": 0.5988431625993802, + "mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453, + "mmlu_eval_accuracy_anatomy": 0.2857142857142857, + "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": 0.625, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, + "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365, + "mmlu_eval_accuracy_college_medicine": 0.6363636363636364, + "mmlu_eval_accuracy_college_physics": 0.45454545454545453, + "mmlu_eval_accuracy_computer_security": 0.7272727272727273, + "mmlu_eval_accuracy_conceptual_physics": 0.6538461538461539, + "mmlu_eval_accuracy_econometrics": 0.6666666666666666, + "mmlu_eval_accuracy_electrical_engineering": 0.5625, + "mmlu_eval_accuracy_elementary_mathematics": 0.5365853658536586, + "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": 0.4090909090909091, + "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556, + "mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222, + "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182, + "mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.5348837209302325, + "mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966, + "mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.85, + "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, + "mmlu_eval_accuracy_high_school_us_history": 0.8181818181818182, + "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": 0.6363636363636364, + "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": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7441860465116279, + "mmlu_eval_accuracy_moral_disputes": 0.5263157894736842, + "mmlu_eval_accuracy_moral_scenarios": 0.34, + "mmlu_eval_accuracy_nutrition": 0.6666666666666666, + "mmlu_eval_accuracy_philosophy": 0.7058823529411765, + "mmlu_eval_accuracy_prehistory": 0.4857142857142857, + "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226, + "mmlu_eval_accuracy_professional_law": 0.4, + "mmlu_eval_accuracy_professional_medicine": 0.6774193548387096, + "mmlu_eval_accuracy_professional_psychology": 0.5797101449275363, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.9090909090909091, + "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182, + "mmlu_eval_accuracy_virology": 0.6111111111111112, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 1.4995008165079993, + "step": 1400 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.2955, + "step": 1401 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.2544, + "step": 1402 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.4088, + "step": 1403 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.2959, + "step": 1404 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.4989, + "step": 1405 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6567, + "step": 1406 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.2983, + "step": 1407 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.2839, + "step": 1408 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.3097, + "step": 1409 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.4868, + "step": 1410 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.4287, + "step": 1411 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.2474, + "step": 1412 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.335, + "step": 1413 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.2997, + "step": 1414 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.3079, + "step": 1415 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.2379, + "step": 1416 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.2006, + "step": 1417 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.3114, + "step": 1418 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.3807, + "step": 1419 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.3207, + "step": 1420 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.3256, + "step": 1421 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.2834, + "step": 1422 + }, + { + "epoch": 0.29, + "learning_rate": 0.0002, + "loss": 0.6884, + "step": 1423 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.2604, + "step": 1424 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3474, + "step": 1425 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3066, + "step": 1426 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.4209, + "step": 1427 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.4044, + "step": 1428 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.5416, + "step": 1429 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.2346, + "step": 1430 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.4765, + "step": 1431 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.363, + "step": 1432 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3189, + "step": 1433 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.2185, + "step": 1434 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3477, + "step": 1435 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.2465, + "step": 1436 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.276, + "step": 1437 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3196, + "step": 1438 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.5027, + "step": 1439 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3729, + "step": 1440 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3676, + "step": 1441 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.2836, + "step": 1442 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.2014, + "step": 1443 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3293, + "step": 1444 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.6591, + "step": 1445 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.2323, + "step": 1446 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3745, + "step": 1447 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.7213, + "step": 1448 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3208, + "step": 1449 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.2419, + "step": 1450 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3249, + "step": 1451 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.2996, + "step": 1452 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3522, + "step": 1453 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3228, + "step": 1454 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3358, + "step": 1455 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.4661, + "step": 1456 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.361, + "step": 1457 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3583, + "step": 1458 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.301, + "step": 1459 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3003, + "step": 1460 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.2422, + "step": 1461 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.5315, + "step": 1462 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3418, + "step": 1463 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3769, + "step": 1464 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.2861, + "step": 1465 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.2097, + "step": 1466 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.336, + "step": 1467 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3407, + "step": 1468 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3419, + "step": 1469 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3095, + "step": 1470 + }, + { + "epoch": 0.3, + "learning_rate": 0.0002, + "loss": 0.3398, + "step": 1471 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.283, + "step": 1472 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.4463, + "step": 1473 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.2983, + "step": 1474 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.2905, + "step": 1475 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.2503, + "step": 1476 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.4403, + "step": 1477 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.3506, + "step": 1478 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.3436, + "step": 1479 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.3225, + "step": 1480 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.2525, + "step": 1481 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.2677, + "step": 1482 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.4132, + "step": 1483 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.2935, + "step": 1484 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.3177, + "step": 1485 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.4628, + "step": 1486 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.3345, + "step": 1487 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.2949, + "step": 1488 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.2881, + "step": 1489 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.3309, + "step": 1490 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.358, + "step": 1491 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.291, + "step": 1492 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.2234, + "step": 1493 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.3209, + "step": 1494 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.3667, + "step": 1495 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.4149, + "step": 1496 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.3423, + "step": 1497 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.3355, + "step": 1498 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.326, + "step": 1499 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.301, + "step": 1500 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.4943, + "step": 1501 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.3528, + "step": 1502 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.2953, + "step": 1503 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.3267, + "step": 1504 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.2319, + "step": 1505 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.2877, + "step": 1506 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.2859, + "step": 1507 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.4401, + "step": 1508 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.4634, + "step": 1509 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.247, + "step": 1510 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.377, + "step": 1511 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.2854, + "step": 1512 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.308, + "step": 1513 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.3239, + "step": 1514 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.3237, + "step": 1515 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.3177, + "step": 1516 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.2864, + "step": 1517 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.2372, + "step": 1518 + }, + { + "epoch": 0.31, + "learning_rate": 0.0002, + "loss": 0.3515, + "step": 1519 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.2747, + "step": 1520 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.2489, + "step": 1521 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.4183, + "step": 1522 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.4211, + "step": 1523 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.3316, + "step": 1524 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.3223, + "step": 1525 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.2908, + "step": 1526 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.5003, + "step": 1527 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.3043, + "step": 1528 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.4197, + "step": 1529 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.3874, + "step": 1530 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.3501, + "step": 1531 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.3674, + "step": 1532 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.2134, + "step": 1533 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.364, + "step": 1534 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.2458, + "step": 1535 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.2149, + "step": 1536 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.3037, + "step": 1537 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.3675, + "step": 1538 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.2494, + "step": 1539 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.4273, + "step": 1540 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.3962, + "step": 1541 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.3332, + "step": 1542 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.3336, + "step": 1543 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.3131, + "step": 1544 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.3025, + "step": 1545 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.2949, + "step": 1546 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.4005, + "step": 1547 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.258, + "step": 1548 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.2922, + "step": 1549 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.2556, + "step": 1550 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.2101, + "step": 1551 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.2162, + "step": 1552 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.337, + "step": 1553 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.3086, + "step": 1554 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.4988, + "step": 1555 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.3734, + "step": 1556 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.4444, + "step": 1557 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.4434, + "step": 1558 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.2584, + "step": 1559 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.1929, + "step": 1560 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.3251, + "step": 1561 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.209, + "step": 1562 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.2978, + "step": 1563 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.2986, + "step": 1564 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.41, + "step": 1565 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.394, + "step": 1566 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.2986, + "step": 1567 + }, + { + "epoch": 0.32, + "learning_rate": 0.0002, + "loss": 0.3496, + "step": 1568 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.3498, + "step": 1569 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.3109, + "step": 1570 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.2075, + "step": 1571 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.3613, + "step": 1572 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.2628, + "step": 1573 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.3275, + "step": 1574 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.2889, + "step": 1575 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.3382, + "step": 1576 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.2797, + "step": 1577 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.5451, + "step": 1578 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.3645, + "step": 1579 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.264, + "step": 1580 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.3261, + "step": 1581 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.2957, + "step": 1582 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.2267, + "step": 1583 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.2626, + "step": 1584 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.3648, + "step": 1585 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.5535, + "step": 1586 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.3266, + "step": 1587 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.3017, + "step": 1588 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.2288, + "step": 1589 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.3663, + "step": 1590 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.2932, + "step": 1591 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.3949, + "step": 1592 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.2377, + "step": 1593 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.3316, + "step": 1594 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.3649, + "step": 1595 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.3073, + "step": 1596 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.3401, + "step": 1597 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.3836, + "step": 1598 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.2566, + "step": 1599 + }, + { + "epoch": 0.33, + "learning_rate": 0.0002, + "loss": 0.4909, + "step": 1600 + }, + { + "epoch": 0.33, + "eval_loss": 0.3317873179912567, + "eval_runtime": 159.3941, + "eval_samples_per_second": 6.274, + "eval_steps_per_second": 3.137, + "step": 1600 + }, + { + "epoch": 0.33, + "mmlu_eval_accuracy": 0.604104053743682, + "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727, + "mmlu_eval_accuracy_anatomy": 0.42857142857142855, + "mmlu_eval_accuracy_astronomy": 0.8125, + "mmlu_eval_accuracy_business_ethics": 0.6363636363636364, + "mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138, + "mmlu_eval_accuracy_college_biology": 0.5625, + "mmlu_eval_accuracy_college_chemistry": 0.375, + "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454, + "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453, + "mmlu_eval_accuracy_college_medicine": 0.6818181818181818, + "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": 0.5609756097560976, + "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": 0.5555555555555556, + "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": 0.7142857142857143, + "mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186, + "mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966, + "mmlu_eval_accuracy_high_school_microeconomics": 0.6153846153846154, + "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413, + "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334, + "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173, + "mmlu_eval_accuracy_high_school_us_history": 0.8181818181818182, + "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": 0.6363636363636364, + "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666, + "mmlu_eval_accuracy_machine_learning": 0.5454545454545454, + "mmlu_eval_accuracy_management": 0.9090909090909091, + "mmlu_eval_accuracy_marketing": 0.84, + "mmlu_eval_accuracy_medical_genetics": 1.0, + "mmlu_eval_accuracy_miscellaneous": 0.7790697674418605, + "mmlu_eval_accuracy_moral_disputes": 0.5526315789473685, + "mmlu_eval_accuracy_moral_scenarios": 0.33, + "mmlu_eval_accuracy_nutrition": 0.696969696969697, + "mmlu_eval_accuracy_philosophy": 0.7352941176470589, + "mmlu_eval_accuracy_prehistory": 0.5142857142857142, + "mmlu_eval_accuracy_professional_accounting": 0.4838709677419355, + "mmlu_eval_accuracy_professional_law": 0.40588235294117647, + "mmlu_eval_accuracy_professional_medicine": 0.6774193548387096, + "mmlu_eval_accuracy_professional_psychology": 0.5942028985507246, + "mmlu_eval_accuracy_public_relations": 0.5, + "mmlu_eval_accuracy_security_studies": 0.5925925925925926, + "mmlu_eval_accuracy_sociology": 0.9545454545454546, + "mmlu_eval_accuracy_us_foreign_policy": 0.9090909090909091, + "mmlu_eval_accuracy_virology": 0.6666666666666666, + "mmlu_eval_accuracy_world_religions": 0.8421052631578947, + "mmlu_loss": 1.4852339224622393, + "step": 1600 + } + ], + "logging_steps": 1, + "max_steps": 14472, + "num_train_epochs": 3, + "save_steps": 200, + "total_flos": 3.9813909752846746e+17, + "trial_name": null, + "trial_params": null +}