constanceCM's picture
update
585d750
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.0,
"eval_steps": 500,
"global_step": 157,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 4.000000000000001e-06,
"loss": 2.3515,
"step": 1
},
{
"epoch": 0.01,
"learning_rate": 8.000000000000001e-06,
"loss": 2.2192,
"step": 2
},
{
"epoch": 0.02,
"learning_rate": 1.2e-05,
"loss": 1.8404,
"step": 3
},
{
"epoch": 0.03,
"learning_rate": 1.6000000000000003e-05,
"loss": 2.0294,
"step": 4
},
{
"epoch": 0.03,
"learning_rate": 2e-05,
"loss": 1.7066,
"step": 5
},
{
"epoch": 0.04,
"learning_rate": 1.9997864167879313e-05,
"loss": 1.7796,
"step": 6
},
{
"epoch": 0.04,
"learning_rate": 1.999145758387301e-05,
"loss": 1.9494,
"step": 7
},
{
"epoch": 0.05,
"learning_rate": 1.9980782984658682e-05,
"loss": 1.8852,
"step": 8
},
{
"epoch": 0.06,
"learning_rate": 1.99658449300667e-05,
"loss": 1.7673,
"step": 9
},
{
"epoch": 0.06,
"learning_rate": 1.994664980113243e-05,
"loss": 1.7469,
"step": 10
},
{
"epoch": 0.07,
"learning_rate": 1.992320579737045e-05,
"loss": 1.6839,
"step": 11
},
{
"epoch": 0.08,
"learning_rate": 1.9895522933272028e-05,
"loss": 1.7551,
"step": 12
},
{
"epoch": 0.08,
"learning_rate": 1.9863613034027224e-05,
"loss": 1.7144,
"step": 13
},
{
"epoch": 0.09,
"learning_rate": 1.9827489730473597e-05,
"loss": 1.6203,
"step": 14
},
{
"epoch": 0.1,
"learning_rate": 1.9787168453273546e-05,
"loss": 1.7763,
"step": 15
},
{
"epoch": 0.1,
"learning_rate": 1.9742666426322877e-05,
"loss": 1.5651,
"step": 16
},
{
"epoch": 0.11,
"learning_rate": 1.9694002659393306e-05,
"loss": 1.5437,
"step": 17
},
{
"epoch": 0.11,
"learning_rate": 1.9641197940012136e-05,
"loss": 1.636,
"step": 18
},
{
"epoch": 0.12,
"learning_rate": 1.958427482458253e-05,
"loss": 1.5177,
"step": 19
},
{
"epoch": 0.13,
"learning_rate": 1.9523257628748148e-05,
"loss": 1.5872,
"step": 20
},
{
"epoch": 0.13,
"learning_rate": 1.9458172417006347e-05,
"loss": 1.56,
"step": 21
},
{
"epoch": 0.14,
"learning_rate": 1.9389046991574298e-05,
"loss": 1.5102,
"step": 22
},
{
"epoch": 0.15,
"learning_rate": 1.9315910880512792e-05,
"loss": 1.6677,
"step": 23
},
{
"epoch": 0.15,
"learning_rate": 1.9238795325112867e-05,
"loss": 1.5399,
"step": 24
},
{
"epoch": 0.16,
"learning_rate": 1.9157733266550577e-05,
"loss": 1.5301,
"step": 25
},
{
"epoch": 0.17,
"learning_rate": 1.9072759331815602e-05,
"loss": 1.7168,
"step": 26
},
{
"epoch": 0.17,
"learning_rate": 1.898390981891979e-05,
"loss": 1.646,
"step": 27
},
{
"epoch": 0.18,
"learning_rate": 1.8891222681391853e-05,
"loss": 1.3932,
"step": 28
},
{
"epoch": 0.18,
"learning_rate": 1.879473751206489e-05,
"loss": 1.4734,
"step": 29
},
{
"epoch": 0.19,
"learning_rate": 1.869449552616367e-05,
"loss": 1.5349,
"step": 30
},
{
"epoch": 0.2,
"learning_rate": 1.8590539543698852e-05,
"loss": 1.5246,
"step": 31
},
{
"epoch": 0.2,
"learning_rate": 1.8482913971175737e-05,
"loss": 1.6965,
"step": 32
},
{
"epoch": 0.21,
"learning_rate": 1.8371664782625287e-05,
"loss": 1.5374,
"step": 33
},
{
"epoch": 0.22,
"learning_rate": 1.825683949996556e-05,
"loss": 1.9037,
"step": 34
},
{
"epoch": 0.22,
"learning_rate": 1.813848717270195e-05,
"loss": 1.3982,
"step": 35
},
{
"epoch": 0.23,
"learning_rate": 1.8016658356974885e-05,
"loss": 1.6099,
"step": 36
},
{
"epoch": 0.24,
"learning_rate": 1.789140509396394e-05,
"loss": 1.6143,
"step": 37
},
{
"epoch": 0.24,
"learning_rate": 1.7762780887657576e-05,
"loss": 1.4531,
"step": 38
},
{
"epoch": 0.25,
"learning_rate": 1.7630840681998068e-05,
"loss": 1.4043,
"step": 39
},
{
"epoch": 0.25,
"learning_rate": 1.7495640837411265e-05,
"loss": 1.4876,
"step": 40
},
{
"epoch": 0.26,
"learning_rate": 1.735723910673132e-05,
"loss": 1.3285,
"step": 41
},
{
"epoch": 0.27,
"learning_rate": 1.7215694610530624e-05,
"loss": 1.2765,
"step": 42
},
{
"epoch": 0.27,
"learning_rate": 1.7071067811865477e-05,
"loss": 1.5375,
"step": 43
},
{
"epoch": 0.28,
"learning_rate": 1.6923420490448298e-05,
"loss": 1.4949,
"step": 44
},
{
"epoch": 0.29,
"learning_rate": 1.6772815716257414e-05,
"loss": 1.4627,
"step": 45
},
{
"epoch": 0.29,
"learning_rate": 1.6619317822595666e-05,
"loss": 1.6337,
"step": 46
},
{
"epoch": 0.3,
"learning_rate": 1.646299237860941e-05,
"loss": 1.4898,
"step": 47
},
{
"epoch": 0.31,
"learning_rate": 1.6303906161279554e-05,
"loss": 1.3049,
"step": 48
},
{
"epoch": 0.31,
"learning_rate": 1.6142127126896682e-05,
"loss": 1.4263,
"step": 49
},
{
"epoch": 0.32,
"learning_rate": 1.597772438203241e-05,
"loss": 1.3834,
"step": 50
},
{
"epoch": 0.32,
"learning_rate": 1.5810768154019386e-05,
"loss": 1.5398,
"step": 51
},
{
"epoch": 0.33,
"learning_rate": 1.5641329760952514e-05,
"loss": 1.3116,
"step": 52
},
{
"epoch": 0.34,
"learning_rate": 1.5469481581224274e-05,
"loss": 1.5079,
"step": 53
},
{
"epoch": 0.34,
"learning_rate": 1.529529702260709e-05,
"loss": 1.5215,
"step": 54
},
{
"epoch": 0.35,
"learning_rate": 1.5118850490896012e-05,
"loss": 1.4581,
"step": 55
},
{
"epoch": 0.36,
"learning_rate": 1.4940217358125042e-05,
"loss": 1.4111,
"step": 56
},
{
"epoch": 0.36,
"learning_rate": 1.4759473930370738e-05,
"loss": 1.4487,
"step": 57
},
{
"epoch": 0.37,
"learning_rate": 1.4576697415156818e-05,
"loss": 1.5672,
"step": 58
},
{
"epoch": 0.38,
"learning_rate": 1.4391965888473705e-05,
"loss": 1.648,
"step": 59
},
{
"epoch": 0.38,
"learning_rate": 1.4205358261427076e-05,
"loss": 1.3745,
"step": 60
},
{
"epoch": 0.39,
"learning_rate": 1.4016954246529697e-05,
"loss": 1.487,
"step": 61
},
{
"epoch": 0.39,
"learning_rate": 1.3826834323650899e-05,
"loss": 1.4824,
"step": 62
},
{
"epoch": 0.4,
"learning_rate": 1.3635079705638298e-05,
"loss": 1.5047,
"step": 63
},
{
"epoch": 0.41,
"learning_rate": 1.3441772303626387e-05,
"loss": 1.4737,
"step": 64
},
{
"epoch": 0.41,
"learning_rate": 1.3246994692046837e-05,
"loss": 1.4558,
"step": 65
},
{
"epoch": 0.42,
"learning_rate": 1.305083007335549e-05,
"loss": 1.2822,
"step": 66
},
{
"epoch": 0.43,
"learning_rate": 1.2853362242491054e-05,
"loss": 1.4502,
"step": 67
},
{
"epoch": 0.43,
"learning_rate": 1.2654675551080724e-05,
"loss": 1.4267,
"step": 68
},
{
"epoch": 0.44,
"learning_rate": 1.2454854871407993e-05,
"loss": 1.4317,
"step": 69
},
{
"epoch": 0.45,
"learning_rate": 1.2253985560158064e-05,
"loss": 1.3591,
"step": 70
},
{
"epoch": 0.45,
"learning_rate": 1.2052153421956343e-05,
"loss": 1.5288,
"step": 71
},
{
"epoch": 0.46,
"learning_rate": 1.1849444672715587e-05,
"loss": 1.5163,
"step": 72
},
{
"epoch": 0.46,
"learning_rate": 1.164594590280734e-05,
"loss": 1.285,
"step": 73
},
{
"epoch": 0.47,
"learning_rate": 1.1441744040073469e-05,
"loss": 1.3647,
"step": 74
},
{
"epoch": 0.48,
"learning_rate": 1.123692631269348e-05,
"loss": 1.4274,
"step": 75
},
{
"epoch": 0.48,
"learning_rate": 1.103158021192357e-05,
"loss": 1.384,
"step": 76
},
{
"epoch": 0.49,
"learning_rate": 1.0825793454723325e-05,
"loss": 1.3805,
"step": 77
},
{
"epoch": 0.5,
"learning_rate": 1.0619653946285948e-05,
"loss": 1.163,
"step": 78
},
{
"epoch": 0.5,
"learning_rate": 1.0413249742488132e-05,
"loss": 1.2088,
"step": 79
},
{
"epoch": 0.51,
"learning_rate": 1.0206669012275546e-05,
"loss": 1.3815,
"step": 80
},
{
"epoch": 0.52,
"learning_rate": 1e-05,
"loss": 1.4453,
"step": 81
},
{
"epoch": 0.52,
"learning_rate": 9.79333098772446e-06,
"loss": 1.2875,
"step": 82
},
{
"epoch": 0.53,
"learning_rate": 9.586750257511868e-06,
"loss": 1.2288,
"step": 83
},
{
"epoch": 0.54,
"learning_rate": 9.380346053714055e-06,
"loss": 1.3383,
"step": 84
},
{
"epoch": 0.54,
"learning_rate": 9.174206545276678e-06,
"loss": 1.2829,
"step": 85
},
{
"epoch": 0.55,
"learning_rate": 8.968419788076431e-06,
"loss": 1.3502,
"step": 86
},
{
"epoch": 0.55,
"learning_rate": 8.763073687306523e-06,
"loss": 1.1537,
"step": 87
},
{
"epoch": 0.56,
"learning_rate": 8.558255959926533e-06,
"loss": 1.276,
"step": 88
},
{
"epoch": 0.57,
"learning_rate": 8.35405409719266e-06,
"loss": 1.2762,
"step": 89
},
{
"epoch": 0.57,
"learning_rate": 8.150555327284417e-06,
"loss": 1.4085,
"step": 90
},
{
"epoch": 0.58,
"learning_rate": 7.947846578043658e-06,
"loss": 1.3362,
"step": 91
},
{
"epoch": 0.59,
"learning_rate": 7.746014439841941e-06,
"loss": 1.2189,
"step": 92
},
{
"epoch": 0.59,
"learning_rate": 7.545145128592009e-06,
"loss": 1.224,
"step": 93
},
{
"epoch": 0.6,
"learning_rate": 7.34532444891928e-06,
"loss": 1.3898,
"step": 94
},
{
"epoch": 0.61,
"learning_rate": 7.14663775750895e-06,
"loss": 1.2327,
"step": 95
},
{
"epoch": 0.61,
"learning_rate": 6.949169926644513e-06,
"loss": 1.2723,
"step": 96
},
{
"epoch": 0.62,
"learning_rate": 6.7530053079531664e-06,
"loss": 1.2756,
"step": 97
},
{
"epoch": 0.62,
"learning_rate": 6.558227696373617e-06,
"loss": 1.26,
"step": 98
},
{
"epoch": 0.63,
"learning_rate": 6.364920294361701e-06,
"loss": 1.2943,
"step": 99
},
{
"epoch": 0.64,
"learning_rate": 6.173165676349103e-06,
"loss": 1.2439,
"step": 100
},
{
"epoch": 0.64,
"learning_rate": 5.983045753470308e-06,
"loss": 1.3242,
"step": 101
},
{
"epoch": 0.65,
"learning_rate": 5.794641738572925e-06,
"loss": 1.2682,
"step": 102
},
{
"epoch": 0.66,
"learning_rate": 5.608034111526298e-06,
"loss": 1.22,
"step": 103
},
{
"epoch": 0.66,
"learning_rate": 5.423302584843186e-06,
"loss": 1.263,
"step": 104
},
{
"epoch": 0.67,
"learning_rate": 5.240526069629265e-06,
"loss": 1.3411,
"step": 105
},
{
"epoch": 0.68,
"learning_rate": 5.059782641874962e-06,
"loss": 1.3032,
"step": 106
},
{
"epoch": 0.68,
"learning_rate": 4.881149509103993e-06,
"loss": 1.3125,
"step": 107
},
{
"epoch": 0.69,
"learning_rate": 4.704702977392914e-06,
"loss": 1.3717,
"step": 108
},
{
"epoch": 0.69,
"learning_rate": 4.530518418775734e-06,
"loss": 1.3951,
"step": 109
},
{
"epoch": 0.7,
"learning_rate": 4.35867023904749e-06,
"loss": 1.2223,
"step": 110
},
{
"epoch": 0.71,
"learning_rate": 4.189231845980618e-06,
"loss": 1.2769,
"step": 111
},
{
"epoch": 0.71,
"learning_rate": 4.0222756179675915e-06,
"loss": 1.3779,
"step": 112
},
{
"epoch": 0.72,
"learning_rate": 3.857872873103322e-06,
"loss": 1.3025,
"step": 113
},
{
"epoch": 0.73,
"learning_rate": 3.69609383872045e-06,
"loss": 1.3191,
"step": 114
},
{
"epoch": 0.73,
"learning_rate": 3.5370076213905904e-06,
"loss": 1.3514,
"step": 115
},
{
"epoch": 0.74,
"learning_rate": 3.380682177404335e-06,
"loss": 1.3486,
"step": 116
},
{
"epoch": 0.75,
"learning_rate": 3.2271842837425917e-06,
"loss": 1.3703,
"step": 117
},
{
"epoch": 0.75,
"learning_rate": 3.0765795095517026e-06,
"loss": 1.4908,
"step": 118
},
{
"epoch": 0.76,
"learning_rate": 2.9289321881345257e-06,
"loss": 1.3042,
"step": 119
},
{
"epoch": 0.76,
"learning_rate": 2.7843053894693805e-06,
"loss": 1.377,
"step": 120
},
{
"epoch": 0.77,
"learning_rate": 2.642760893268684e-06,
"loss": 1.1821,
"step": 121
},
{
"epoch": 0.78,
"learning_rate": 2.504359162588741e-06,
"loss": 1.1712,
"step": 122
},
{
"epoch": 0.78,
"learning_rate": 2.369159318001937e-06,
"loss": 1.5551,
"step": 123
},
{
"epoch": 0.79,
"learning_rate": 2.237219112342426e-06,
"loss": 1.3421,
"step": 124
},
{
"epoch": 0.8,
"learning_rate": 2.1085949060360654e-06,
"loss": 1.3687,
"step": 125
},
{
"epoch": 0.8,
"learning_rate": 1.983341643025117e-06,
"loss": 1.4112,
"step": 126
},
{
"epoch": 0.81,
"learning_rate": 1.861512827298051e-06,
"loss": 1.3654,
"step": 127
},
{
"epoch": 0.82,
"learning_rate": 1.743160500034443e-06,
"loss": 1.1934,
"step": 128
},
{
"epoch": 0.82,
"learning_rate": 1.6283352173747148e-06,
"loss": 1.2713,
"step": 129
},
{
"epoch": 0.83,
"learning_rate": 1.5170860288242638e-06,
"loss": 1.1488,
"step": 130
},
{
"epoch": 0.83,
"learning_rate": 1.409460456301147e-06,
"loss": 1.0274,
"step": 131
},
{
"epoch": 0.84,
"learning_rate": 1.305504473836331e-06,
"loss": 1.3858,
"step": 132
},
{
"epoch": 0.85,
"learning_rate": 1.2052624879351105e-06,
"loss": 1.2333,
"step": 133
},
{
"epoch": 0.85,
"learning_rate": 1.1087773186081474e-06,
"loss": 1.1706,
"step": 134
},
{
"epoch": 0.86,
"learning_rate": 1.0160901810802114e-06,
"loss": 1.3154,
"step": 135
},
{
"epoch": 0.87,
"learning_rate": 9.272406681844015e-07,
"loss": 1.0783,
"step": 136
},
{
"epoch": 0.87,
"learning_rate": 8.42266733449425e-07,
"loss": 1.2337,
"step": 137
},
{
"epoch": 0.88,
"learning_rate": 7.612046748871327e-07,
"loss": 1.3804,
"step": 138
},
{
"epoch": 0.89,
"learning_rate": 6.840891194872112e-07,
"loss": 1.1877,
"step": 139
},
{
"epoch": 0.89,
"learning_rate": 6.109530084257043e-07,
"loss": 1.2499,
"step": 140
},
{
"epoch": 0.9,
"learning_rate": 5.418275829936537e-07,
"loss": 1.309,
"step": 141
},
{
"epoch": 0.9,
"learning_rate": 4.7674237125185597e-07,
"loss": 1.3539,
"step": 142
},
{
"epoch": 0.91,
"learning_rate": 4.1572517541747294e-07,
"loss": 1.3044,
"step": 143
},
{
"epoch": 0.92,
"learning_rate": 3.588020599878639e-07,
"loss": 1.1665,
"step": 144
},
{
"epoch": 0.92,
"learning_rate": 3.059973406066963e-07,
"loss": 1.3508,
"step": 145
},
{
"epoch": 0.93,
"learning_rate": 2.573335736771254e-07,
"loss": 1.292,
"step": 146
},
{
"epoch": 0.94,
"learning_rate": 2.1283154672645522e-07,
"loss": 1.1751,
"step": 147
},
{
"epoch": 0.94,
"learning_rate": 1.7251026952640583e-07,
"loss": 1.235,
"step": 148
},
{
"epoch": 0.95,
"learning_rate": 1.3638696597277678e-07,
"loss": 1.2765,
"step": 149
},
{
"epoch": 0.96,
"learning_rate": 1.0447706672797264e-07,
"loss": 1.2188,
"step": 150
},
{
"epoch": 0.96,
"learning_rate": 7.679420262954984e-08,
"loss": 1.343,
"step": 151
},
{
"epoch": 0.97,
"learning_rate": 5.3350198867574424e-08,
"loss": 1.2595,
"step": 152
},
{
"epoch": 0.97,
"learning_rate": 3.4155069933301535e-08,
"loss": 1.2953,
"step": 153
},
{
"epoch": 0.98,
"learning_rate": 1.9217015341318478e-08,
"loss": 1.3371,
"step": 154
},
{
"epoch": 0.99,
"learning_rate": 8.542416126989805e-09,
"loss": 1.2505,
"step": 155
},
{
"epoch": 0.99,
"learning_rate": 2.1358321206899067e-09,
"loss": 1.2273,
"step": 156
},
{
"epoch": 1.0,
"learning_rate": 0.0,
"loss": 1.0525,
"step": 157
},
{
"epoch": 1.0,
"step": 157,
"total_flos": 6176111984640.0,
"train_loss": 1.4207090708860166,
"train_runtime": 292.2058,
"train_samples_per_second": 68.445,
"train_steps_per_second": 0.537
}
],
"logging_steps": 1.0,
"max_steps": 157,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 50000,
"total_flos": 6176111984640.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}