Hugging Face's logo

HydraLM
/
mistralic-expert-21

Model card Files
xet
Community
mistralic-expert-21 / checkpoint-800 /trainer_state.json
pharaouk's picture
pharaouk
Training in progress, step 800, checkpoint
977c14e
raw
history blame contribute delete
100 kB
 {
"best_metric": 0.7383494973182678,
"best_model_checkpoint": "experts/mistralic-expert-21/checkpoint-800",
"epoch": 0.1596806387225549,
"eval_steps": 200,
"global_step": 800,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 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
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.8267,
"step": 401
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7679,
"step": 402
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.8803,
"step": 403
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.6909,
"step": 404
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7483,
"step": 405
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 1.0523,
"step": 406
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.9839,
"step": 407
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.5975,
"step": 408
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 1.0406,
"step": 409
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.9047,
"step": 410
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7649,
"step": 411
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7999,
"step": 412
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7923,
"step": 413
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7002,
"step": 414
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.8975,
"step": 415
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7059,
"step": 416
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.6865,
"step": 417
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7177,
"step": 418
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.8824,
"step": 419
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.787,
"step": 420
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.8307,
"step": 421
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7682,
"step": 422
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.8036,
"step": 423
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.9209,
"step": 424
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.9188,
"step": 425
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7904,
"step": 426
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.9804,
"step": 427
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.6341,
"step": 428
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.8869,
"step": 429
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.8143,
"step": 430
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.8974,
"step": 431
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.6402,
"step": 432
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.5342,
"step": 433
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7838,
"step": 434
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.8436,
"step": 435
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 1.024,
"step": 436
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.8074,
"step": 437
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.6338,
"step": 438
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.9353,
"step": 439
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.6655,
"step": 440
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.661,
"step": 441
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7146,
"step": 442
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.8318,
"step": 443
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.5375,
"step": 444
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.8082,
"step": 445
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.6488,
"step": 446
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.8286,
"step": 447
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.5802,
"step": 448
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7761,
"step": 449
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7238,
"step": 450
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.9706,
"step": 451
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.5635,
"step": 452
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7103,
"step": 453
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.4757,
"step": 454
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.5925,
"step": 455
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.6109,
"step": 456
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.622,
"step": 457
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7854,
"step": 458
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.5802,
"step": 459
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7563,
"step": 460
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7902,
"step": 461
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.8256,
"step": 462
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.948,
"step": 463
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.745,
"step": 464
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.6632,
"step": 465
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.6803,
"step": 466
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.8442,
"step": 467
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.6172,
"step": 468
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.5671,
"step": 469
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7855,
"step": 470
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.6973,
"step": 471
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.5741,
"step": 472
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7252,
"step": 473
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7218,
"step": 474
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.5713,
"step": 475
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.8696,
"step": 476
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.6925,
"step": 477
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 1.0487,
"step": 478
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.7919,
"step": 479
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.9096,
"step": 480
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.8272,
"step": 481
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.8518,
"step": 482
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.6736,
"step": 483
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.802,
"step": 484
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.8978,
"step": 485
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.657,
"step": 486
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.5339,
"step": 487
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.7309,
"step": 488
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.6462,
"step": 489
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.5552,
"step": 490
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 1.1669,
"step": 491
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.7967,
"step": 492
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.7578,
"step": 493
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.8775,
"step": 494
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.7491,
"step": 495
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.9756,
"step": 496
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.8121,
"step": 497
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.7392,
"step": 498
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.9004,
"step": 499
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.7345,
"step": 500
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.7513,
"step": 501
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.7502,
"step": 502
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.8346,
"step": 503
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.9917,
"step": 504
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.8684,
"step": 505
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.9052,
"step": 506
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.6764,
"step": 507
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.7646,
"step": 508
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.4939,
"step": 509
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 1.0915,
"step": 510
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.4308,
"step": 511
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.7663,
"step": 512
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.6548,
"step": 513
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.6723,
"step": 514
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 1.0556,
"step": 515
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.7296,
"step": 516
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.9113,
"step": 517
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.9695,
"step": 518
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.7099,
"step": 519
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.5564,
"step": 520
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.8164,
"step": 521
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.5783,
"step": 522
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.7821,
"step": 523
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.6573,
"step": 524
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.8268,
"step": 525
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.6128,
"step": 526
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.6761,
"step": 527
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.7277,
"step": 528
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.5248,
"step": 529
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.9179,
"step": 530
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.6577,
"step": 531
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.6512,
"step": 532
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.7375,
"step": 533
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.9032,
"step": 534
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.7618,
"step": 535
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.7835,
"step": 536
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.6359,
"step": 537
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 1.052,
"step": 538
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.5695,
"step": 539
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.8816,
"step": 540
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.6503,
"step": 541
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.6225,
"step": 542
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.5026,
"step": 543
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.8693,
"step": 544
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.7503,
"step": 545
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.7084,
"step": 546
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.9936,
"step": 547
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.8152,
"step": 548
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.9392,
"step": 549
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 1.0249,
"step": 550
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.9395,
"step": 551
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.4423,
"step": 552
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.9268,
"step": 553
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.9497,
"step": 554
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.468,
"step": 555
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.8133,
"step": 556
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.6607,
"step": 557
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.8391,
"step": 558
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.8714,
"step": 559
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.6308,
"step": 560
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.6394,
"step": 561
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.913,
"step": 562
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.688,
"step": 563
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.8688,
"step": 564
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.7826,
"step": 565
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.5856,
"step": 566
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 1.0415,
"step": 567
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.9789,
"step": 568
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.9218,
"step": 569
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.7543,
"step": 570
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.53,
"step": 571
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 1.1324,
"step": 572
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.7376,
"step": 573
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.9111,
"step": 574
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.7983,
"step": 575
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 0.7959,
"step": 576
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.8756,
"step": 577
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 1.0287,
"step": 578
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.4868,
"step": 579
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.6186,
"step": 580
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.6415,
"step": 581
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.8003,
"step": 582
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.8524,
"step": 583
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.8741,
"step": 584
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.6316,
"step": 585
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.6371,
"step": 586
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.7191,
"step": 587
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.7531,
"step": 588
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.6027,
"step": 589
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.7606,
"step": 590
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.938,
"step": 591
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.7439,
"step": 592
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.9444,
"step": 593
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.6378,
"step": 594
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.9355,
"step": 595
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.7833,
"step": 596
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.7256,
"step": 597
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.6942,
"step": 598
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.7742,
"step": 599
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.684,
"step": 600
},
{
"epoch": 0.12,
"eval_loss": 0.7413733601570129,
"eval_runtime": 193.4196,
"eval_samples_per_second": 5.17,
"eval_steps_per_second": 2.585,
"step": 600
},
{
"epoch": 0.12,
"mmlu_eval_accuracy": 0.6066353154142871,
"mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
"mmlu_eval_accuracy_anatomy": 0.5714285714285714,
"mmlu_eval_accuracy_astronomy": 0.8125,
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
"mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138,
"mmlu_eval_accuracy_college_biology": 0.625,
"mmlu_eval_accuracy_college_chemistry": 0.25,
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
"mmlu_eval_accuracy_college_mathematics": 0.5454545454545454,
"mmlu_eval_accuracy_college_medicine": 0.5454545454545454,
"mmlu_eval_accuracy_college_physics": 0.5454545454545454,
"mmlu_eval_accuracy_computer_security": 0.5454545454545454,
"mmlu_eval_accuracy_conceptual_physics": 0.5769230769230769,
"mmlu_eval_accuracy_econometrics": 0.5833333333333334,
"mmlu_eval_accuracy_electrical_engineering": 0.625,
"mmlu_eval_accuracy_elementary_mathematics": 0.4634146341463415,
"mmlu_eval_accuracy_formal_logic": 0.14285714285714285,
"mmlu_eval_accuracy_global_facts": 0.4,
"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": 0.7619047619047619,
"mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186,
"mmlu_eval_accuracy_high_school_mathematics": 0.27586206896551724,
"mmlu_eval_accuracy_high_school_microeconomics": 0.5769230769230769,
"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": 0.6538461538461539,
"mmlu_eval_accuracy_human_aging": 0.7391304347826086,
"mmlu_eval_accuracy_human_sexuality": 0.5,
"mmlu_eval_accuracy_international_law": 0.9230769230769231,
"mmlu_eval_accuracy_jurisprudence": 0.6363636363636364,
"mmlu_eval_accuracy_logical_fallacies": 0.7222222222222222,
"mmlu_eval_accuracy_machine_learning": 0.5454545454545454,
"mmlu_eval_accuracy_management": 0.9090909090909091,
"mmlu_eval_accuracy_marketing": 0.92,
"mmlu_eval_accuracy_medical_genetics": 1.0,
"mmlu_eval_accuracy_miscellaneous": 0.7441860465116279,
"mmlu_eval_accuracy_moral_disputes": 0.5263157894736842,
"mmlu_eval_accuracy_moral_scenarios": 0.33,
"mmlu_eval_accuracy_nutrition": 0.7272727272727273,
"mmlu_eval_accuracy_philosophy": 0.7352941176470589,
"mmlu_eval_accuracy_prehistory": 0.6,
"mmlu_eval_accuracy_professional_accounting": 0.5483870967741935,
"mmlu_eval_accuracy_professional_law": 0.38823529411764707,
"mmlu_eval_accuracy_professional_medicine": 0.6451612903225806,
"mmlu_eval_accuracy_professional_psychology": 0.5797101449275363,
"mmlu_eval_accuracy_public_relations": 0.5833333333333334,
"mmlu_eval_accuracy_security_studies": 0.6666666666666666,
"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": 0.8421052631578947,
"mmlu_loss": 1.546568229210906,
"step": 600
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.4465,
"step": 601
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.8645,
"step": 602
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.6272,
"step": 603
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.9447,
"step": 604
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.769,
"step": 605
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.8,
"step": 606
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.7628,
"step": 607
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.6576,
"step": 608
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.6482,
"step": 609
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.7616,
"step": 610
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.7506,
"step": 611
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.585,
"step": 612
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.5834,
"step": 613
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.7417,
"step": 614
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.8483,
"step": 615
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.5884,
"step": 616
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.8695,
"step": 617
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.6002,
"step": 618
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.758,
"step": 619
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 1.0847,
"step": 620
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.7203,
"step": 621
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 1.0074,
"step": 622
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.7413,
"step": 623
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.7296,
"step": 624
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.5597,
"step": 625
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 0.685,
"step": 626
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.6455,
"step": 627
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.6522,
"step": 628
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.6444,
"step": 629
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.4978,
"step": 630
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.8012,
"step": 631
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.4906,
"step": 632
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.4867,
"step": 633
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.726,
"step": 634
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.3853,
"step": 635
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.6966,
"step": 636
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.7108,
"step": 637
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.667,
"step": 638
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.7569,
"step": 639
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.9096,
"step": 640
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 1.0672,
"step": 641
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.7803,
"step": 642
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.7002,
"step": 643
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.8482,
"step": 644
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.8336,
"step": 645
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.8791,
"step": 646
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.9492,
"step": 647
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.8084,
"step": 648
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.6602,
"step": 649
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.6844,
"step": 650
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 1.1414,
"step": 651
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.6237,
"step": 652
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.9086,
"step": 653
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.9113,
"step": 654
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.4281,
"step": 655
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.8587,
"step": 656
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 1.0444,
"step": 657
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.7863,
"step": 658
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.8533,
"step": 659
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.5408,
"step": 660
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.7821,
"step": 661
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.7603,
"step": 662
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.662,
"step": 663
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.8689,
"step": 664
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.7313,
"step": 665
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.8914,
"step": 666
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.9887,
"step": 667
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.7603,
"step": 668
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.7592,
"step": 669
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 1.0364,
"step": 670
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.735,
"step": 671
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.6577,
"step": 672
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 1.0776,
"step": 673
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.6243,
"step": 674
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.775,
"step": 675
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 0.8261,
"step": 676
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.8048,
"step": 677
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.645,
"step": 678
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.8758,
"step": 679
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.9819,
"step": 680
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.9876,
"step": 681
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.994,
"step": 682
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.6316,
"step": 683
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.6357,
"step": 684
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.5663,
"step": 685
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.5252,
"step": 686
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.8512,
"step": 687
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.6856,
"step": 688
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.6659,
"step": 689
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.9902,
"step": 690
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 1.0727,
"step": 691
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.6238,
"step": 692
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.5903,
"step": 693
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.6347,
"step": 694
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.7957,
"step": 695
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 1.018,
"step": 696
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.4683,
"step": 697
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.8655,
"step": 698
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 1.0705,
"step": 699
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.7668,
"step": 700
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.6937,
"step": 701
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.6379,
"step": 702
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.9275,
"step": 703
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.772,
"step": 704
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.6673,
"step": 705
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.8489,
"step": 706
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.4449,
"step": 707
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.7635,
"step": 708
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.6486,
"step": 709
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.6111,
"step": 710
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.8594,
"step": 711
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.5079,
"step": 712
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.6897,
"step": 713
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.869,
"step": 714
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.9091,
"step": 715
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.7522,
"step": 716
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.8457,
"step": 717
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.6871,
"step": 718
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.7114,
"step": 719
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.6767,
"step": 720
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.9387,
"step": 721
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.6753,
"step": 722
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.7687,
"step": 723
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.6395,
"step": 724
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 0.7196,
"step": 725
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 1.0891,
"step": 726
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.6333,
"step": 727
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.7339,
"step": 728
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.6865,
"step": 729
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.7704,
"step": 730
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.6839,
"step": 731
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.8703,
"step": 732
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.7393,
"step": 733
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.9276,
"step": 734
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.5298,
"step": 735
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.8824,
"step": 736
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.9587,
"step": 737
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.5957,
"step": 738
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.788,
"step": 739
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.6561,
"step": 740
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.6559,
"step": 741
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.6629,
"step": 742
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.438,
"step": 743
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.7781,
"step": 744
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.77,
"step": 745
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.6313,
"step": 746
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.7117,
"step": 747
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.7473,
"step": 748
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.6311,
"step": 749
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.7513,
"step": 750
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.674,
"step": 751
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.5662,
"step": 752
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.543,
"step": 753
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.8509,
"step": 754
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.7214,
"step": 755
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.8063,
"step": 756
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.8514,
"step": 757
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.5505,
"step": 758
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.7168,
"step": 759
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.7901,
"step": 760
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.6215,
"step": 761
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.9305,
"step": 762
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.7226,
"step": 763
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.7223,
"step": 764
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.9405,
"step": 765
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 1.0112,
"step": 766
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.7048,
"step": 767
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.7705,
"step": 768
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.6901,
"step": 769
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.7391,
"step": 770
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.6669,
"step": 771
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.5642,
"step": 772
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 1.1581,
"step": 773
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.737,
"step": 774
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.8622,
"step": 775
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 0.8514,
"step": 776
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.9713,
"step": 777
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.9228,
"step": 778
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.526,
"step": 779
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.6225,
"step": 780
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.5743,
"step": 781
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.5652,
"step": 782
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.4765,
"step": 783
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.9622,
"step": 784
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.6645,
"step": 785
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 1.0493,
"step": 786
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.6555,
"step": 787
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.9545,
"step": 788
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.6747,
"step": 789
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.7934,
"step": 790
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.7103,
"step": 791
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.5921,
"step": 792
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.7873,
"step": 793
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.9653,
"step": 794
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.7854,
"step": 795
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.7418,
"step": 796
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.6489,
"step": 797
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.836,
"step": 798
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.8236,
"step": 799
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 0.6746,
"step": 800
},
{
"epoch": 0.16,
"eval_loss": 0.7383494973182678,
"eval_runtime": 193.4476,
"eval_samples_per_second": 5.169,
"eval_steps_per_second": 2.585,
"step": 800
},
{
"epoch": 0.16,
"mmlu_eval_accuracy": 0.5824527930989486,
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
"mmlu_eval_accuracy_anatomy": 0.5714285714285714,
"mmlu_eval_accuracy_astronomy": 0.625,
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
"mmlu_eval_accuracy_clinical_knowledge": 0.6206896551724138,
"mmlu_eval_accuracy_college_biology": 0.6875,
"mmlu_eval_accuracy_college_chemistry": 0.375,
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
"mmlu_eval_accuracy_college_mathematics": 0.36363636363636365,
"mmlu_eval_accuracy_college_medicine": 0.6363636363636364,
"mmlu_eval_accuracy_college_physics": 0.5454545454545454,
"mmlu_eval_accuracy_computer_security": 0.6363636363636364,
"mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615,
"mmlu_eval_accuracy_econometrics": 0.5833333333333334,
"mmlu_eval_accuracy_electrical_engineering": 0.5625,
"mmlu_eval_accuracy_elementary_mathematics": 0.4878048780487805,
"mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
"mmlu_eval_accuracy_global_facts": 0.4,
"mmlu_eval_accuracy_high_school_biology": 0.6875,
"mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727,
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
"mmlu_eval_accuracy_high_school_european_history": 0.7222222222222222,
"mmlu_eval_accuracy_high_school_geography": 0.7727272727272727,
"mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619,
"mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093,
"mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483,
"mmlu_eval_accuracy_high_school_microeconomics": 0.6923076923076923,
"mmlu_eval_accuracy_high_school_physics": 0.17647058823529413,
"mmlu_eval_accuracy_high_school_psychology": 0.8833333333333333,
"mmlu_eval_accuracy_high_school_statistics": 0.391304347826087,
"mmlu_eval_accuracy_high_school_us_history": 0.8181818181818182,
"mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307,
"mmlu_eval_accuracy_human_aging": 0.6956521739130435,
"mmlu_eval_accuracy_human_sexuality": 0.5833333333333334,
"mmlu_eval_accuracy_international_law": 0.9230769230769231,
"mmlu_eval_accuracy_jurisprudence": 0.7272727272727273,
"mmlu_eval_accuracy_logical_fallacies": 0.7777777777777778,
"mmlu_eval_accuracy_machine_learning": 0.5454545454545454,
"mmlu_eval_accuracy_management": 0.8181818181818182,
"mmlu_eval_accuracy_marketing": 0.8,
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
"mmlu_eval_accuracy_miscellaneous": 0.7325581395348837,
"mmlu_eval_accuracy_moral_disputes": 0.5526315789473685,
"mmlu_eval_accuracy_moral_scenarios": 0.34,
"mmlu_eval_accuracy_nutrition": 0.696969696969697,
"mmlu_eval_accuracy_philosophy": 0.6176470588235294,
"mmlu_eval_accuracy_prehistory": 0.6,
"mmlu_eval_accuracy_professional_accounting": 0.45161290322580644,
"mmlu_eval_accuracy_professional_law": 0.38235294117647056,
"mmlu_eval_accuracy_professional_medicine": 0.6129032258064516,
"mmlu_eval_accuracy_professional_psychology": 0.5217391304347826,
"mmlu_eval_accuracy_public_relations": 0.5,
"mmlu_eval_accuracy_security_studies": 0.5925925925925926,
"mmlu_eval_accuracy_sociology": 0.8181818181818182,
"mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
"mmlu_eval_accuracy_virology": 0.5,
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
"mmlu_loss": 1.5123703732269551,
"step": 800
}
],
"logging_steps": 1,
"max_steps": 15030,
"num_train_epochs": 3,
"save_steps": 200,
"total_flos": 2.3232681440713114e+17,
"trial_name": null,
"trial_params": null
}