mistralic-expert-21 / checkpoint-400 /trainer_state.json
pharaouk's picture
Training in progress, step 400, checkpoint
10b78a0
{
"best_metric": 0.744175374507904,
"best_model_checkpoint": "experts/mistralic-expert-21/checkpoint-400",
"epoch": 0.07984031936127745,
"eval_steps": 200,
"global_step": 400,
"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": 1.0613,
"step": 1
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.9108,
"step": 2
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.7569,
"step": 3
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.787,
"step": 4
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.7733,
"step": 5
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 1.3886,
"step": 6
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.4824,
"step": 7
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.8347,
"step": 8
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.82,
"step": 9
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.8169,
"step": 10
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.5864,
"step": 11
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.8223,
"step": 12
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.7887,
"step": 13
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.7621,
"step": 14
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.7538,
"step": 15
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.6615,
"step": 16
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.9518,
"step": 17
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.5117,
"step": 18
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 1.0139,
"step": 19
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.7997,
"step": 20
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.7555,
"step": 21
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.6843,
"step": 22
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.7045,
"step": 23
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 1.0227,
"step": 24
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.6964,
"step": 25
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.8441,
"step": 26
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7352,
"step": 27
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.5966,
"step": 28
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.8846,
"step": 29
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7978,
"step": 30
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 1.1034,
"step": 31
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.8306,
"step": 32
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 1.0758,
"step": 33
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7684,
"step": 34
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.8209,
"step": 35
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.62,
"step": 36
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.572,
"step": 37
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.6433,
"step": 38
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7005,
"step": 39
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.627,
"step": 40
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 1.0076,
"step": 41
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.6516,
"step": 42
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7212,
"step": 43
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7396,
"step": 44
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.741,
"step": 45
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.9025,
"step": 46
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.8793,
"step": 47
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.6438,
"step": 48
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7211,
"step": 49
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7618,
"step": 50
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.8042,
"step": 51
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7492,
"step": 52
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.949,
"step": 53
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.8977,
"step": 54
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.8895,
"step": 55
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.8984,
"step": 56
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7287,
"step": 57
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.5764,
"step": 58
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 1.1263,
"step": 59
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.8061,
"step": 60
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.4888,
"step": 61
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7801,
"step": 62
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.9469,
"step": 63
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.6781,
"step": 64
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 1.0843,
"step": 65
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.6992,
"step": 66
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.8471,
"step": 67
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7336,
"step": 68
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 1.1684,
"step": 69
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.5612,
"step": 70
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.9468,
"step": 71
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.895,
"step": 72
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.9233,
"step": 73
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 1.073,
"step": 74
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.972,
"step": 75
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.6457,
"step": 76
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.6522,
"step": 77
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.6546,
"step": 78
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 1.0024,
"step": 79
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 1.0696,
"step": 80
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.6181,
"step": 81
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 1.0234,
"step": 82
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.8514,
"step": 83
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7032,
"step": 84
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 1.0316,
"step": 85
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.8664,
"step": 86
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.469,
"step": 87
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.8426,
"step": 88
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.5955,
"step": 89
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7823,
"step": 90
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.778,
"step": 91
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.5699,
"step": 92
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.949,
"step": 93
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7923,
"step": 94
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.9486,
"step": 95
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7278,
"step": 96
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.8223,
"step": 97
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.5869,
"step": 98
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.466,
"step": 99
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7447,
"step": 100
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.6255,
"step": 101
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.6209,
"step": 102
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 1.0633,
"step": 103
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.9947,
"step": 104
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7474,
"step": 105
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.8626,
"step": 106
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.8522,
"step": 107
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.6075,
"step": 108
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.912,
"step": 109
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 1.012,
"step": 110
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7406,
"step": 111
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.6897,
"step": 112
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.543,
"step": 113
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.4828,
"step": 114
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.9805,
"step": 115
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7141,
"step": 116
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.9519,
"step": 117
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.8587,
"step": 118
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7717,
"step": 119
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.6015,
"step": 120
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7259,
"step": 121
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 1.0637,
"step": 122
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7039,
"step": 123
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 1.1593,
"step": 124
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.9464,
"step": 125
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.5241,
"step": 126
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.8832,
"step": 127
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.7735,
"step": 128
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.9548,
"step": 129
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.6403,
"step": 130
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.9322,
"step": 131
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.7969,
"step": 132
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.917,
"step": 133
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.6374,
"step": 134
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.9057,
"step": 135
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.5936,
"step": 136
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.5973,
"step": 137
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.6922,
"step": 138
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.885,
"step": 139
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.6669,
"step": 140
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.7749,
"step": 141
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.8642,
"step": 142
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.7119,
"step": 143
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.4539,
"step": 144
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.6143,
"step": 145
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.9801,
"step": 146
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.8143,
"step": 147
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.9165,
"step": 148
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.8678,
"step": 149
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.9648,
"step": 150
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.7353,
"step": 151
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.7707,
"step": 152
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 1.0535,
"step": 153
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.74,
"step": 154
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.6083,
"step": 155
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.6862,
"step": 156
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.6716,
"step": 157
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.6058,
"step": 158
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.7035,
"step": 159
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.7014,
"step": 160
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.6037,
"step": 161
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.8274,
"step": 162
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.6332,
"step": 163
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.6243,
"step": 164
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.7386,
"step": 165
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.8272,
"step": 166
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.6769,
"step": 167
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.8564,
"step": 168
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.794,
"step": 169
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.6748,
"step": 170
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.6602,
"step": 171
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.8841,
"step": 172
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.748,
"step": 173
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 1.0154,
"step": 174
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.721,
"step": 175
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.9784,
"step": 176
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.5253,
"step": 177
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8122,
"step": 178
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.6862,
"step": 179
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8924,
"step": 180
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8975,
"step": 181
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 1.0512,
"step": 182
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8278,
"step": 183
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.6857,
"step": 184
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.6204,
"step": 185
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.7821,
"step": 186
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.9541,
"step": 187
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8025,
"step": 188
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 1.0036,
"step": 189
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.9583,
"step": 190
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.5459,
"step": 191
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8891,
"step": 192
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.6371,
"step": 193
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.7171,
"step": 194
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8905,
"step": 195
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.5407,
"step": 196
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8385,
"step": 197
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8422,
"step": 198
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8084,
"step": 199
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.6382,
"step": 200
},
{
"epoch": 0.04,
"eval_loss": 0.7527853846549988,
"eval_runtime": 193.5321,
"eval_samples_per_second": 5.167,
"eval_steps_per_second": 2.584,
"step": 200
},
{
"epoch": 0.04,
"mmlu_eval_accuracy": 0.6069425201408959,
"mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453,
"mmlu_eval_accuracy_anatomy": 0.5,
"mmlu_eval_accuracy_astronomy": 0.75,
"mmlu_eval_accuracy_business_ethics": 0.6363636363636364,
"mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138,
"mmlu_eval_accuracy_college_biology": 0.625,
"mmlu_eval_accuracy_college_chemistry": 0.25,
"mmlu_eval_accuracy_college_computer_science": 0.5454545454545454,
"mmlu_eval_accuracy_college_mathematics": 0.45454545454545453,
"mmlu_eval_accuracy_college_medicine": 0.5909090909090909,
"mmlu_eval_accuracy_college_physics": 0.5454545454545454,
"mmlu_eval_accuracy_computer_security": 0.5454545454545454,
"mmlu_eval_accuracy_conceptual_physics": 0.5,
"mmlu_eval_accuracy_econometrics": 0.75,
"mmlu_eval_accuracy_electrical_engineering": 0.6875,
"mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244,
"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": 0.7777777777777778,
"mmlu_eval_accuracy_high_school_geography": 0.8181818181818182,
"mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619,
"mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186,
"mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069,
"mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539,
"mmlu_eval_accuracy_high_school_physics": 0.11764705882352941,
"mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667,
"mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173,
"mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727,
"mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923,
"mmlu_eval_accuracy_human_aging": 0.7391304347826086,
"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": 0.2727272727272727,
"mmlu_eval_accuracy_management": 0.8181818181818182,
"mmlu_eval_accuracy_marketing": 0.96,
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
"mmlu_eval_accuracy_miscellaneous": 0.7325581395348837,
"mmlu_eval_accuracy_moral_disputes": 0.5263157894736842,
"mmlu_eval_accuracy_moral_scenarios": 0.36,
"mmlu_eval_accuracy_nutrition": 0.7272727272727273,
"mmlu_eval_accuracy_philosophy": 0.7058823529411765,
"mmlu_eval_accuracy_prehistory": 0.5714285714285714,
"mmlu_eval_accuracy_professional_accounting": 0.6129032258064516,
"mmlu_eval_accuracy_professional_law": 0.4117647058823529,
"mmlu_eval_accuracy_professional_medicine": 0.6451612903225806,
"mmlu_eval_accuracy_professional_psychology": 0.5942028985507246,
"mmlu_eval_accuracy_public_relations": 0.5,
"mmlu_eval_accuracy_security_studies": 0.6296296296296297,
"mmlu_eval_accuracy_sociology": 0.9090909090909091,
"mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182,
"mmlu_eval_accuracy_virology": 0.5555555555555556,
"mmlu_eval_accuracy_world_religions": 0.8947368421052632,
"mmlu_loss": 1.424748288122232,
"step": 200
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.514,
"step": 201
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.9316,
"step": 202
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.5804,
"step": 203
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.4997,
"step": 204
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 1.1044,
"step": 205
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8998,
"step": 206
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.9126,
"step": 207
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.7343,
"step": 208
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8555,
"step": 209
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8367,
"step": 210
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.9339,
"step": 211
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.5325,
"step": 212
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.97,
"step": 213
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.7861,
"step": 214
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.7172,
"step": 215
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.7829,
"step": 216
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.9416,
"step": 217
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.9772,
"step": 218
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.9562,
"step": 219
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.9923,
"step": 220
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.773,
"step": 221
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8065,
"step": 222
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.4085,
"step": 223
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.7975,
"step": 224
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.7796,
"step": 225
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.9226,
"step": 226
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.9331,
"step": 227
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.8537,
"step": 228
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.5119,
"step": 229
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.9528,
"step": 230
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.8085,
"step": 231
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.6984,
"step": 232
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7458,
"step": 233
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.5282,
"step": 234
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7395,
"step": 235
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7395,
"step": 236
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7806,
"step": 237
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 1.0737,
"step": 238
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.8094,
"step": 239
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.8435,
"step": 240
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.6897,
"step": 241
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.9283,
"step": 242
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.77,
"step": 243
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7093,
"step": 244
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.6659,
"step": 245
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.6623,
"step": 246
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 1.2126,
"step": 247
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.8251,
"step": 248
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.6103,
"step": 249
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.734,
"step": 250
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.5445,
"step": 251
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.6698,
"step": 252
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.6505,
"step": 253
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.6185,
"step": 254
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.8441,
"step": 255
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7706,
"step": 256
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7232,
"step": 257
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.566,
"step": 258
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7725,
"step": 259
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.772,
"step": 260
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.8432,
"step": 261
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7987,
"step": 262
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.5326,
"step": 263
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.6139,
"step": 264
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.8207,
"step": 265
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.5063,
"step": 266
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.5334,
"step": 267
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.9008,
"step": 268
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.6599,
"step": 269
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.8471,
"step": 270
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.6595,
"step": 271
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.5456,
"step": 272
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 1.0143,
"step": 273
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.67,
"step": 274
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.6222,
"step": 275
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7805,
"step": 276
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.6144,
"step": 277
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7708,
"step": 278
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7156,
"step": 279
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7694,
"step": 280
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.6985,
"step": 281
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.874,
"step": 282
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.5317,
"step": 283
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.6243,
"step": 284
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.6899,
"step": 285
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.6082,
"step": 286
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.8266,
"step": 287
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7347,
"step": 288
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.751,
"step": 289
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 1.0287,
"step": 290
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.8968,
"step": 291
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.6152,
"step": 292
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.6274,
"step": 293
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.8135,
"step": 294
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.9844,
"step": 295
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.524,
"step": 296
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.9002,
"step": 297
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.8671,
"step": 298
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.571,
"step": 299
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.6869,
"step": 300
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7714,
"step": 301
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.8017,
"step": 302
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7137,
"step": 303
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 1.0807,
"step": 304
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 1.0078,
"step": 305
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 1.1694,
"step": 306
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7987,
"step": 307
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.6085,
"step": 308
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.5241,
"step": 309
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.5681,
"step": 310
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.5722,
"step": 311
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.6979,
"step": 312
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.6865,
"step": 313
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.9059,
"step": 314
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.8185,
"step": 315
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.6021,
"step": 316
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7516,
"step": 317
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.911,
"step": 318
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7015,
"step": 319
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.597,
"step": 320
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 1.0015,
"step": 321
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7167,
"step": 322
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.9415,
"step": 323
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.8917,
"step": 324
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7481,
"step": 325
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.5737,
"step": 326
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.9759,
"step": 327
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.9918,
"step": 328
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.9649,
"step": 329
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.7749,
"step": 330
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.9503,
"step": 331
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.7141,
"step": 332
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.6378,
"step": 333
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.7751,
"step": 334
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.645,
"step": 335
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.9118,
"step": 336
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.7924,
"step": 337
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.6403,
"step": 338
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.8784,
"step": 339
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.8649,
"step": 340
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.8398,
"step": 341
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.5552,
"step": 342
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.5564,
"step": 343
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.9732,
"step": 344
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 1.1613,
"step": 345
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.7281,
"step": 346
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.6125,
"step": 347
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.8193,
"step": 348
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.8056,
"step": 349
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.7315,
"step": 350
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.8247,
"step": 351
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.8393,
"step": 352
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.7128,
"step": 353
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.9818,
"step": 354
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.8143,
"step": 355
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.6425,
"step": 356
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.7803,
"step": 357
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.742,
"step": 358
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.4946,
"step": 359
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.8821,
"step": 360
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.8141,
"step": 361
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.9041,
"step": 362
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 1.1578,
"step": 363
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.5657,
"step": 364
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.7776,
"step": 365
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.7091,
"step": 366
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.6348,
"step": 367
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.6316,
"step": 368
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.6251,
"step": 369
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 1.0801,
"step": 370
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.7038,
"step": 371
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.5184,
"step": 372
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.7923,
"step": 373
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.8136,
"step": 374
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.9586,
"step": 375
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.9144,
"step": 376
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.599,
"step": 377
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7147,
"step": 378
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7103,
"step": 379
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.6476,
"step": 380
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.8461,
"step": 381
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 1.0367,
"step": 382
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7077,
"step": 383
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.8001,
"step": 384
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 1.2422,
"step": 385
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.8415,
"step": 386
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.736,
"step": 387
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.8057,
"step": 388
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.6561,
"step": 389
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.8917,
"step": 390
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.6604,
"step": 391
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.6119,
"step": 392
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7716,
"step": 393
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7671,
"step": 394
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.6078,
"step": 395
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.9074,
"step": 396
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7811,
"step": 397
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.9108,
"step": 398
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7685,
"step": 399
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 1.0709,
"step": 400
},
{
"epoch": 0.08,
"eval_loss": 0.744175374507904,
"eval_runtime": 193.6137,
"eval_samples_per_second": 5.165,
"eval_steps_per_second": 2.582,
"step": 400
},
{
"epoch": 0.08,
"mmlu_eval_accuracy": 0.6043681736715669,
"mmlu_eval_accuracy_abstract_algebra": 0.45454545454545453,
"mmlu_eval_accuracy_anatomy": 0.5,
"mmlu_eval_accuracy_astronomy": 0.75,
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
"mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241,
"mmlu_eval_accuracy_college_biology": 0.5,
"mmlu_eval_accuracy_college_chemistry": 0.375,
"mmlu_eval_accuracy_college_computer_science": 0.45454545454545453,
"mmlu_eval_accuracy_college_mathematics": 0.5454545454545454,
"mmlu_eval_accuracy_college_medicine": 0.5909090909090909,
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
"mmlu_eval_accuracy_computer_security": 0.5454545454545454,
"mmlu_eval_accuracy_conceptual_physics": 0.5384615384615384,
"mmlu_eval_accuracy_econometrics": 0.5833333333333334,
"mmlu_eval_accuracy_electrical_engineering": 0.5625,
"mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244,
"mmlu_eval_accuracy_formal_logic": 0.14285714285714285,
"mmlu_eval_accuracy_global_facts": 0.3,
"mmlu_eval_accuracy_high_school_biology": 0.46875,
"mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091,
"mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666,
"mmlu_eval_accuracy_high_school_european_history": 0.8333333333333334,
"mmlu_eval_accuracy_high_school_geography": 0.8636363636363636,
"mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619,
"mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093,
"mmlu_eval_accuracy_high_school_mathematics": 0.3793103448275862,
"mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539,
"mmlu_eval_accuracy_high_school_physics": 0.17647058823529413,
"mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667,
"mmlu_eval_accuracy_high_school_statistics": 0.2608695652173913,
"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": 1.0,
"mmlu_eval_accuracy_jurisprudence": 0.6363636363636364,
"mmlu_eval_accuracy_logical_fallacies": 0.7222222222222222,
"mmlu_eval_accuracy_machine_learning": 0.5454545454545454,
"mmlu_eval_accuracy_management": 0.9090909090909091,
"mmlu_eval_accuracy_marketing": 0.88,
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
"mmlu_eval_accuracy_miscellaneous": 0.7325581395348837,
"mmlu_eval_accuracy_moral_disputes": 0.5526315789473685,
"mmlu_eval_accuracy_moral_scenarios": 0.32,
"mmlu_eval_accuracy_nutrition": 0.7575757575757576,
"mmlu_eval_accuracy_philosophy": 0.7058823529411765,
"mmlu_eval_accuracy_prehistory": 0.5714285714285714,
"mmlu_eval_accuracy_professional_accounting": 0.6129032258064516,
"mmlu_eval_accuracy_professional_law": 0.38823529411764707,
"mmlu_eval_accuracy_professional_medicine": 0.6129032258064516,
"mmlu_eval_accuracy_professional_psychology": 0.6086956521739131,
"mmlu_eval_accuracy_public_relations": 0.5833333333333334,
"mmlu_eval_accuracy_security_studies": 0.6666666666666666,
"mmlu_eval_accuracy_sociology": 0.8636363636363636,
"mmlu_eval_accuracy_us_foreign_policy": 0.9090909090909091,
"mmlu_eval_accuracy_virology": 0.5555555555555556,
"mmlu_eval_accuracy_world_religions": 0.7894736842105263,
"mmlu_loss": 1.4941282213979228,
"step": 400
}
],
"logging_steps": 1,
"max_steps": 15030,
"num_train_epochs": 3,
"save_steps": 200,
"total_flos": 1.165957031388119e+17,
"trial_name": null,
"trial_params": null
}