mistralic-expert-5 / checkpoint-400 /trainer_state.json
pharaouk's picture
Training in progress, step 400, checkpoint
7d2d25f
{
"best_metric": 0.7738699316978455,
"best_model_checkpoint": "experts/mistralic-expert-5/checkpoint-400",
"epoch": 0.0968054211035818,
"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": 0.5824,
"step": 1
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.9328,
"step": 2
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.6628,
"step": 3
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.8303,
"step": 4
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.8424,
"step": 5
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 1.1485,
"step": 6
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 1.1406,
"step": 7
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 1.0037,
"step": 8
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.6373,
"step": 9
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 1.0236,
"step": 10
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 1.1921,
"step": 11
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.8936,
"step": 12
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.727,
"step": 13
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.9234,
"step": 14
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.6495,
"step": 15
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.9027,
"step": 16
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.8179,
"step": 17
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.6964,
"step": 18
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.9039,
"step": 19
},
{
"epoch": 0.0,
"learning_rate": 0.0002,
"loss": 0.6411,
"step": 20
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.5643,
"step": 21
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.8068,
"step": 22
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.868,
"step": 23
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.774,
"step": 24
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.8189,
"step": 25
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 1.0105,
"step": 26
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7334,
"step": 27
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 1.0011,
"step": 28
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7898,
"step": 29
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 1.0122,
"step": 30
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7862,
"step": 31
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7541,
"step": 32
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7261,
"step": 33
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.8213,
"step": 34
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.9636,
"step": 35
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.702,
"step": 36
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 1.1368,
"step": 37
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.884,
"step": 38
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 1.0458,
"step": 39
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7563,
"step": 40
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.6003,
"step": 41
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.5862,
"step": 42
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.79,
"step": 43
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.8778,
"step": 44
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.797,
"step": 45
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7512,
"step": 46
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7683,
"step": 47
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7265,
"step": 48
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.6275,
"step": 49
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7945,
"step": 50
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 1.0207,
"step": 51
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.9179,
"step": 52
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7174,
"step": 53
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.6963,
"step": 54
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.8147,
"step": 55
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7048,
"step": 56
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.8014,
"step": 57
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.6596,
"step": 58
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.9822,
"step": 59
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.7506,
"step": 60
},
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 0.8145,
"step": 61
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.8961,
"step": 62
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.732,
"step": 63
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7472,
"step": 64
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7071,
"step": 65
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7593,
"step": 66
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7755,
"step": 67
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.6585,
"step": 68
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.9985,
"step": 69
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.9472,
"step": 70
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.5466,
"step": 71
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.6878,
"step": 72
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.9803,
"step": 73
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.893,
"step": 74
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.8531,
"step": 75
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7125,
"step": 76
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7117,
"step": 77
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.4978,
"step": 78
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.5294,
"step": 79
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.9476,
"step": 80
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7525,
"step": 81
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 1.1358,
"step": 82
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.8868,
"step": 83
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7746,
"step": 84
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7665,
"step": 85
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7963,
"step": 86
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.8625,
"step": 87
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.8993,
"step": 88
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7648,
"step": 89
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.9024,
"step": 90
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.6933,
"step": 91
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.9885,
"step": 92
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.712,
"step": 93
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.9525,
"step": 94
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7069,
"step": 95
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 1.1432,
"step": 96
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.8686,
"step": 97
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 1.1825,
"step": 98
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.5702,
"step": 99
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.8636,
"step": 100
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.8336,
"step": 101
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.6763,
"step": 102
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 0.7492,
"step": 103
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.9207,
"step": 104
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.7896,
"step": 105
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.7573,
"step": 106
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.4961,
"step": 107
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.9358,
"step": 108
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.6269,
"step": 109
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.7677,
"step": 110
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 1.0927,
"step": 111
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.9114,
"step": 112
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.8029,
"step": 113
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.6772,
"step": 114
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 1.0279,
"step": 115
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 1.0584,
"step": 116
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.9768,
"step": 117
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 1.0978,
"step": 118
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.9121,
"step": 119
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.8053,
"step": 120
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.7893,
"step": 121
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.9589,
"step": 122
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.7916,
"step": 123
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.8689,
"step": 124
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.8153,
"step": 125
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.7509,
"step": 126
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.8547,
"step": 127
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.7709,
"step": 128
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.716,
"step": 129
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 1.176,
"step": 130
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.7703,
"step": 131
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 1.0129,
"step": 132
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.9746,
"step": 133
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.7249,
"step": 134
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.7058,
"step": 135
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.7874,
"step": 136
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.7944,
"step": 137
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.8103,
"step": 138
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.6221,
"step": 139
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.9646,
"step": 140
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.6064,
"step": 141
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.8525,
"step": 142
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.8588,
"step": 143
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 0.5372,
"step": 144
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.5996,
"step": 145
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.9571,
"step": 146
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 1.0043,
"step": 147
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8337,
"step": 148
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.7436,
"step": 149
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.7529,
"step": 150
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.824,
"step": 151
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.7417,
"step": 152
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.6997,
"step": 153
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.7261,
"step": 154
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.746,
"step": 155
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.6946,
"step": 156
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.665,
"step": 157
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.7935,
"step": 158
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.9432,
"step": 159
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8674,
"step": 160
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.592,
"step": 161
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.9905,
"step": 162
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.9295,
"step": 163
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8615,
"step": 164
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.7455,
"step": 165
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.7856,
"step": 166
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.5945,
"step": 167
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.7906,
"step": 168
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8149,
"step": 169
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.6672,
"step": 170
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.6643,
"step": 171
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 1.0178,
"step": 172
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.9431,
"step": 173
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8808,
"step": 174
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.7011,
"step": 175
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.9308,
"step": 176
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.9741,
"step": 177
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8333,
"step": 178
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.5305,
"step": 179
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.6004,
"step": 180
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.5746,
"step": 181
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.855,
"step": 182
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.7177,
"step": 183
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8181,
"step": 184
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 0.8566,
"step": 185
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7647,
"step": 186
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.797,
"step": 187
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.6656,
"step": 188
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.8482,
"step": 189
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7872,
"step": 190
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.5419,
"step": 191
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7332,
"step": 192
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7597,
"step": 193
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.6025,
"step": 194
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7904,
"step": 195
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.6325,
"step": 196
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.4749,
"step": 197
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.6195,
"step": 198
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.6349,
"step": 199
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.775,
"step": 200
},
{
"epoch": 0.05,
"eval_loss": 0.7758745551109314,
"eval_runtime": 153.086,
"eval_samples_per_second": 6.532,
"eval_steps_per_second": 3.266,
"step": 200
},
{
"epoch": 0.05,
"mmlu_eval_accuracy": 0.5945341290360752,
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
"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": 0.625,
"mmlu_eval_accuracy_college_chemistry": 0.375,
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
"mmlu_eval_accuracy_college_mathematics": 0.6363636363636364,
"mmlu_eval_accuracy_college_medicine": 0.5909090909090909,
"mmlu_eval_accuracy_college_physics": 0.5454545454545454,
"mmlu_eval_accuracy_computer_security": 0.7272727272727273,
"mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156,
"mmlu_eval_accuracy_econometrics": 0.5,
"mmlu_eval_accuracy_electrical_engineering": 0.5,
"mmlu_eval_accuracy_elementary_mathematics": 0.43902439024390244,
"mmlu_eval_accuracy_formal_logic": 0.07142857142857142,
"mmlu_eval_accuracy_global_facts": 0.4,
"mmlu_eval_accuracy_high_school_biology": 0.625,
"mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365,
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
"mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778,
"mmlu_eval_accuracy_high_school_geography": 0.7727272727272727,
"mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143,
"mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093,
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
"mmlu_eval_accuracy_high_school_microeconomics": 0.6923076923076923,
"mmlu_eval_accuracy_high_school_physics": 0.23529411764705882,
"mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667,
"mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216,
"mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727,
"mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923,
"mmlu_eval_accuracy_human_aging": 0.7391304347826086,
"mmlu_eval_accuracy_human_sexuality": 0.5833333333333334,
"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": 0.36363636363636365,
"mmlu_eval_accuracy_management": 0.9090909090909091,
"mmlu_eval_accuracy_marketing": 0.88,
"mmlu_eval_accuracy_medical_genetics": 1.0,
"mmlu_eval_accuracy_miscellaneous": 0.7325581395348837,
"mmlu_eval_accuracy_moral_disputes": 0.5789473684210527,
"mmlu_eval_accuracy_moral_scenarios": 0.4,
"mmlu_eval_accuracy_nutrition": 0.6666666666666666,
"mmlu_eval_accuracy_philosophy": 0.7647058823529411,
"mmlu_eval_accuracy_prehistory": 0.6285714285714286,
"mmlu_eval_accuracy_professional_accounting": 0.5483870967741935,
"mmlu_eval_accuracy_professional_law": 0.3764705882352941,
"mmlu_eval_accuracy_professional_medicine": 0.5483870967741935,
"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": 0.4444444444444444,
"mmlu_eval_accuracy_world_religions": 0.7894736842105263,
"mmlu_loss": 1.2078974157883045,
"step": 200
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.516,
"step": 201
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.9797,
"step": 202
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.794,
"step": 203
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.991,
"step": 204
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.522,
"step": 205
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7575,
"step": 206
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 1.0186,
"step": 207
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.6279,
"step": 208
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 1.1147,
"step": 209
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.8287,
"step": 210
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7079,
"step": 211
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.8152,
"step": 212
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7858,
"step": 213
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.8996,
"step": 214
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.4728,
"step": 215
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.8654,
"step": 216
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.8298,
"step": 217
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7652,
"step": 218
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.9525,
"step": 219
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.8713,
"step": 220
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7853,
"step": 221
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.8129,
"step": 222
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7349,
"step": 223
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.9779,
"step": 224
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7545,
"step": 225
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7214,
"step": 226
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 0.7948,
"step": 227
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.5779,
"step": 228
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.8783,
"step": 229
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7183,
"step": 230
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7588,
"step": 231
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7329,
"step": 232
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.9362,
"step": 233
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7285,
"step": 234
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7475,
"step": 235
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.4761,
"step": 236
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7149,
"step": 237
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.698,
"step": 238
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7268,
"step": 239
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7519,
"step": 240
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.9332,
"step": 241
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.9998,
"step": 242
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.6951,
"step": 243
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7688,
"step": 244
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.8264,
"step": 245
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7838,
"step": 246
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.6344,
"step": 247
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.8099,
"step": 248
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.8045,
"step": 249
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.971,
"step": 250
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.4806,
"step": 251
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.8378,
"step": 252
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.5733,
"step": 253
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.5752,
"step": 254
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.8793,
"step": 255
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7905,
"step": 256
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.8831,
"step": 257
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.8746,
"step": 258
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7089,
"step": 259
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.5821,
"step": 260
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.729,
"step": 261
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7777,
"step": 262
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7086,
"step": 263
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.8848,
"step": 264
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.7463,
"step": 265
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.5969,
"step": 266
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 1.0104,
"step": 267
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 0.8518,
"step": 268
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.8751,
"step": 269
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.6435,
"step": 270
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 1.1377,
"step": 271
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.6571,
"step": 272
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.6445,
"step": 273
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.9564,
"step": 274
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.9475,
"step": 275
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.7444,
"step": 276
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.6496,
"step": 277
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 1.1372,
"step": 278
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.962,
"step": 279
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.8028,
"step": 280
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.8156,
"step": 281
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.7166,
"step": 282
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.6024,
"step": 283
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.9223,
"step": 284
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.5741,
"step": 285
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.6083,
"step": 286
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.748,
"step": 287
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.9012,
"step": 288
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.8103,
"step": 289
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.681,
"step": 290
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.8767,
"step": 291
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 1.0653,
"step": 292
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.6571,
"step": 293
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.6202,
"step": 294
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.804,
"step": 295
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.6263,
"step": 296
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.69,
"step": 297
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.6193,
"step": 298
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.7925,
"step": 299
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.7996,
"step": 300
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.7379,
"step": 301
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.8504,
"step": 302
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.8024,
"step": 303
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.9363,
"step": 304
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.8545,
"step": 305
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.6843,
"step": 306
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.6695,
"step": 307
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.7474,
"step": 308
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 0.6185,
"step": 309
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.8223,
"step": 310
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 1.0373,
"step": 311
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.4691,
"step": 312
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 1.0338,
"step": 313
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.8945,
"step": 314
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7791,
"step": 315
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7993,
"step": 316
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.821,
"step": 317
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7226,
"step": 318
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.541,
"step": 319
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.6663,
"step": 320
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.8703,
"step": 321
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.8935,
"step": 322
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.6807,
"step": 323
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.6595,
"step": 324
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7013,
"step": 325
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.8408,
"step": 326
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7298,
"step": 327
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.5087,
"step": 328
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 1.0407,
"step": 329
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.4617,
"step": 330
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.8127,
"step": 331
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.6133,
"step": 332
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.9941,
"step": 333
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7413,
"step": 334
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7808,
"step": 335
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7188,
"step": 336
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.8073,
"step": 337
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 1.0171,
"step": 338
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7621,
"step": 339
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.6874,
"step": 340
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 1.1245,
"step": 341
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.969,
"step": 342
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.87,
"step": 343
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.8336,
"step": 344
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.6943,
"step": 345
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 1.1624,
"step": 346
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.6979,
"step": 347
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.7353,
"step": 348
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.744,
"step": 349
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 0.9829,
"step": 350
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 1.003,
"step": 351
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.6433,
"step": 352
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.8631,
"step": 353
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.8872,
"step": 354
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.8757,
"step": 355
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7825,
"step": 356
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.8698,
"step": 357
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.4161,
"step": 358
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.9279,
"step": 359
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.4814,
"step": 360
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.6695,
"step": 361
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.8792,
"step": 362
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.972,
"step": 363
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7419,
"step": 364
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.8093,
"step": 365
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.5523,
"step": 366
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.5401,
"step": 367
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7774,
"step": 368
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 1.0942,
"step": 369
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.6856,
"step": 370
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.9193,
"step": 371
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7582,
"step": 372
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7884,
"step": 373
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.852,
"step": 374
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7425,
"step": 375
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.6344,
"step": 376
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.6328,
"step": 377
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7202,
"step": 378
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.6461,
"step": 379
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7646,
"step": 380
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.8243,
"step": 381
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.8536,
"step": 382
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7591,
"step": 383
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.6327,
"step": 384
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7132,
"step": 385
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7939,
"step": 386
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7034,
"step": 387
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 1.1408,
"step": 388
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.8823,
"step": 389
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.912,
"step": 390
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.5894,
"step": 391
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 0.7015,
"step": 392
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.668,
"step": 393
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.7907,
"step": 394
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.9406,
"step": 395
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.6004,
"step": 396
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.8493,
"step": 397
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.8961,
"step": 398
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 1.0108,
"step": 399
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 0.5869,
"step": 400
},
{
"epoch": 0.1,
"eval_loss": 0.7738699316978455,
"eval_runtime": 152.8703,
"eval_samples_per_second": 6.541,
"eval_steps_per_second": 3.271,
"step": 400
},
{
"epoch": 0.1,
"mmlu_eval_accuracy": 0.5919430615031283,
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
"mmlu_eval_accuracy_anatomy": 0.5,
"mmlu_eval_accuracy_astronomy": 0.8125,
"mmlu_eval_accuracy_business_ethics": 0.6363636363636364,
"mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345,
"mmlu_eval_accuracy_college_biology": 0.5625,
"mmlu_eval_accuracy_college_chemistry": 0.25,
"mmlu_eval_accuracy_college_computer_science": 0.45454545454545453,
"mmlu_eval_accuracy_college_mathematics": 0.45454545454545453,
"mmlu_eval_accuracy_college_medicine": 0.6818181818181818,
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
"mmlu_eval_accuracy_computer_security": 0.5454545454545454,
"mmlu_eval_accuracy_conceptual_physics": 0.5,
"mmlu_eval_accuracy_econometrics": 0.5,
"mmlu_eval_accuracy_electrical_engineering": 0.5625,
"mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634,
"mmlu_eval_accuracy_formal_logic": 0.14285714285714285,
"mmlu_eval_accuracy_global_facts": 0.4,
"mmlu_eval_accuracy_high_school_biology": 0.53125,
"mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182,
"mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666,
"mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778,
"mmlu_eval_accuracy_high_school_geography": 0.8181818181818182,
"mmlu_eval_accuracy_high_school_government_and_politics": 0.7142857142857143,
"mmlu_eval_accuracy_high_school_macroeconomics": 0.627906976744186,
"mmlu_eval_accuracy_high_school_mathematics": 0.3448275862068966,
"mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539,
"mmlu_eval_accuracy_high_school_physics": 0.23529411764705882,
"mmlu_eval_accuracy_high_school_psychology": 0.85,
"mmlu_eval_accuracy_high_school_statistics": 0.5217391304347826,
"mmlu_eval_accuracy_high_school_us_history": 0.7727272727272727,
"mmlu_eval_accuracy_high_school_world_history": 0.7307692307692307,
"mmlu_eval_accuracy_human_aging": 0.7391304347826086,
"mmlu_eval_accuracy_human_sexuality": 0.5,
"mmlu_eval_accuracy_international_law": 0.8461538461538461,
"mmlu_eval_accuracy_jurisprudence": 0.6363636363636364,
"mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666,
"mmlu_eval_accuracy_machine_learning": 0.45454545454545453,
"mmlu_eval_accuracy_management": 0.9090909090909091,
"mmlu_eval_accuracy_marketing": 0.88,
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
"mmlu_eval_accuracy_miscellaneous": 0.7209302325581395,
"mmlu_eval_accuracy_moral_disputes": 0.5263157894736842,
"mmlu_eval_accuracy_moral_scenarios": 0.37,
"mmlu_eval_accuracy_nutrition": 0.696969696969697,
"mmlu_eval_accuracy_philosophy": 0.7352941176470589,
"mmlu_eval_accuracy_prehistory": 0.5142857142857142,
"mmlu_eval_accuracy_professional_accounting": 0.5161290322580645,
"mmlu_eval_accuracy_professional_law": 0.38823529411764707,
"mmlu_eval_accuracy_professional_medicine": 0.6451612903225806,
"mmlu_eval_accuracy_professional_psychology": 0.6086956521739131,
"mmlu_eval_accuracy_public_relations": 0.5,
"mmlu_eval_accuracy_security_studies": 0.5925925925925926,
"mmlu_eval_accuracy_sociology": 0.9090909090909091,
"mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182,
"mmlu_eval_accuracy_virology": 0.5555555555555556,
"mmlu_eval_accuracy_world_religions": 0.8421052631578947,
"mmlu_loss": 1.282245689482664,
"step": 400
}
],
"logging_steps": 1,
"max_steps": 12396,
"num_train_epochs": 3,
"save_steps": 200,
"total_flos": 8.84805275542487e+16,
"trial_name": null,
"trial_params": null
}