PeterV09's picture
End of training
03f1a8d
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 5.955918367346939,
"eval_steps": 50.0,
"global_step": 114,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.05,
"learning_rate": 1.6666666666666667e-06,
"loss": 1.8797,
"step": 1
},
{
"epoch": 0.1,
"learning_rate": 3.3333333333333333e-06,
"loss": 1.0534,
"step": 2
},
{
"epoch": 0.16,
"learning_rate": 5e-06,
"loss": 0.8716,
"step": 3
},
{
"epoch": 0.21,
"learning_rate": 6.666666666666667e-06,
"loss": 1.7973,
"step": 4
},
{
"epoch": 0.26,
"learning_rate": 8.333333333333334e-06,
"loss": 3.2074,
"step": 5
},
{
"epoch": 0.31,
"learning_rate": 1e-05,
"loss": 0.8388,
"step": 6
},
{
"epoch": 0.37,
"learning_rate": 1.1666666666666668e-05,
"loss": 1.2017,
"step": 7
},
{
"epoch": 0.42,
"learning_rate": 1.3333333333333333e-05,
"loss": 1.2281,
"step": 8
},
{
"epoch": 0.47,
"learning_rate": 1.5000000000000002e-05,
"loss": 1.1392,
"step": 9
},
{
"epoch": 0.52,
"learning_rate": 1.6666666666666667e-05,
"loss": 1.1636,
"step": 10
},
{
"epoch": 0.57,
"learning_rate": 1.8333333333333333e-05,
"loss": 1.348,
"step": 11
},
{
"epoch": 0.63,
"learning_rate": 2e-05,
"loss": 1.5274,
"step": 12
},
{
"epoch": 0.68,
"learning_rate": 1.999525719713366e-05,
"loss": 1.4989,
"step": 13
},
{
"epoch": 0.73,
"learning_rate": 1.9981033287370443e-05,
"loss": 1.8241,
"step": 14
},
{
"epoch": 0.78,
"learning_rate": 1.9957341762950346e-05,
"loss": 3.0442,
"step": 15
},
{
"epoch": 0.84,
"learning_rate": 1.992420509671936e-05,
"loss": 0.7598,
"step": 16
},
{
"epoch": 0.89,
"learning_rate": 1.9881654720812594e-05,
"loss": 0.9576,
"step": 17
},
{
"epoch": 0.94,
"learning_rate": 1.982973099683902e-05,
"loss": 1.4729,
"step": 18
},
{
"epoch": 0.99,
"learning_rate": 1.9768483177596008e-05,
"loss": 2.8527,
"step": 19
},
{
"epoch": 1.04,
"learning_rate": 1.9697969360350098e-05,
"loss": 2.3553,
"step": 20
},
{
"epoch": 1.1,
"learning_rate": 1.961825643172819e-05,
"loss": 1.0815,
"step": 21
},
{
"epoch": 1.15,
"learning_rate": 1.9529420004271568e-05,
"loss": 0.8628,
"step": 22
},
{
"epoch": 1.2,
"learning_rate": 1.9431544344712776e-05,
"loss": 1.7159,
"step": 23
},
{
"epoch": 1.25,
"learning_rate": 1.932472229404356e-05,
"loss": 2.3623,
"step": 24
},
{
"epoch": 1.31,
"learning_rate": 1.920905517944954e-05,
"loss": 0.8963,
"step": 25
},
{
"epoch": 1.36,
"learning_rate": 1.9084652718195237e-05,
"loss": 1.2434,
"step": 26
},
{
"epoch": 1.41,
"learning_rate": 1.8951632913550625e-05,
"loss": 1.4213,
"step": 27
},
{
"epoch": 1.46,
"learning_rate": 1.8810121942857848e-05,
"loss": 0.9093,
"step": 28
},
{
"epoch": 1.52,
"learning_rate": 1.866025403784439e-05,
"loss": 1.3047,
"step": 29
},
{
"epoch": 1.57,
"learning_rate": 1.8502171357296144e-05,
"loss": 0.9524,
"step": 30
},
{
"epoch": 1.62,
"learning_rate": 1.8336023852211197e-05,
"loss": 0.988,
"step": 31
},
{
"epoch": 1.67,
"learning_rate": 1.816196912356222e-05,
"loss": 1.9515,
"step": 32
},
{
"epoch": 1.72,
"learning_rate": 1.7980172272802398e-05,
"loss": 0.8506,
"step": 33
},
{
"epoch": 1.78,
"learning_rate": 1.7790805745256703e-05,
"loss": 3.3607,
"step": 34
},
{
"epoch": 1.83,
"learning_rate": 1.7594049166547073e-05,
"loss": 0.651,
"step": 35
},
{
"epoch": 1.88,
"learning_rate": 1.7390089172206594e-05,
"loss": 0.8157,
"step": 36
},
{
"epoch": 1.93,
"learning_rate": 1.717911923064442e-05,
"loss": 1.2207,
"step": 37
},
{
"epoch": 1.99,
"learning_rate": 1.696133945962927e-05,
"loss": 2.2415,
"step": 38
},
{
"epoch": 2.04,
"learning_rate": 1.6736956436465573e-05,
"loss": 2.4251,
"step": 39
},
{
"epoch": 2.09,
"learning_rate": 1.650618300204242e-05,
"loss": 0.6802,
"step": 40
},
{
"epoch": 2.14,
"learning_rate": 1.626923805894107e-05,
"loss": 0.7446,
"step": 41
},
{
"epoch": 2.19,
"learning_rate": 1.6026346363792565e-05,
"loss": 1.3458,
"step": 42
},
{
"epoch": 2.25,
"learning_rate": 1.5777738314082514e-05,
"loss": 1.9831,
"step": 43
},
{
"epoch": 2.3,
"learning_rate": 1.552364972960506e-05,
"loss": 0.703,
"step": 44
},
{
"epoch": 2.35,
"learning_rate": 1.526432162877356e-05,
"loss": 0.7621,
"step": 45
},
{
"epoch": 2.4,
"learning_rate": 1.5000000000000002e-05,
"loss": 0.8715,
"step": 46
},
{
"epoch": 2.46,
"learning_rate": 1.4730935568360103e-05,
"loss": 0.602,
"step": 47
},
{
"epoch": 2.51,
"learning_rate": 1.4457383557765385e-05,
"loss": 1.1948,
"step": 48
},
{
"epoch": 2.56,
"learning_rate": 1.4179603448867836e-05,
"loss": 0.4413,
"step": 49
},
{
"epoch": 2.61,
"learning_rate": 1.3897858732926794e-05,
"loss": 0.9234,
"step": 50
},
{
"epoch": 2.66,
"learning_rate": 1.3612416661871532e-05,
"loss": 1.5714,
"step": 51
},
{
"epoch": 2.72,
"learning_rate": 1.3323547994796597e-05,
"loss": 0.4181,
"step": 52
},
{
"epoch": 2.77,
"learning_rate": 1.3031526741130435e-05,
"loss": 1.561,
"step": 53
},
{
"epoch": 2.82,
"learning_rate": 1.2736629900720832e-05,
"loss": 0.4936,
"step": 54
},
{
"epoch": 2.87,
"learning_rate": 1.2439137201083772e-05,
"loss": 0.5912,
"step": 55
},
{
"epoch": 2.93,
"learning_rate": 1.2139330832064975e-05,
"loss": 0.7185,
"step": 56
},
{
"epoch": 2.98,
"learning_rate": 1.1837495178165706e-05,
"loss": 2.3263,
"step": 57
},
{
"epoch": 3.03,
"learning_rate": 1.1533916548786856e-05,
"loss": 1.7637,
"step": 58
},
{
"epoch": 3.08,
"learning_rate": 1.1228882906647142e-05,
"loss": 0.4613,
"step": 59
},
{
"epoch": 3.13,
"learning_rate": 1.092268359463302e-05,
"loss": 0.4783,
"step": 60
},
{
"epoch": 3.19,
"learning_rate": 1.0615609061339431e-05,
"loss": 0.6246,
"step": 61
},
{
"epoch": 3.24,
"learning_rate": 1.0307950585561705e-05,
"loss": 1.1187,
"step": 62
},
{
"epoch": 3.29,
"learning_rate": 1e-05,
"loss": 0.5968,
"step": 63
},
{
"epoch": 3.34,
"learning_rate": 9.692049414438298e-06,
"loss": 0.4642,
"step": 64
},
{
"epoch": 3.4,
"learning_rate": 9.384390938660572e-06,
"loss": 0.6006,
"step": 65
},
{
"epoch": 3.45,
"learning_rate": 9.07731640536698e-06,
"loss": 0.3908,
"step": 66
},
{
"epoch": 3.5,
"learning_rate": 8.771117093352861e-06,
"loss": 0.6208,
"step": 67
},
{
"epoch": 3.55,
"learning_rate": 8.466083451213145e-06,
"loss": 0.3215,
"step": 68
},
{
"epoch": 3.6,
"learning_rate": 8.162504821834296e-06,
"loss": 0.5953,
"step": 69
},
{
"epoch": 3.66,
"learning_rate": 7.860669167935028e-06,
"loss": 0.7851,
"step": 70
},
{
"epoch": 3.71,
"learning_rate": 7.560862798916229e-06,
"loss": 0.304,
"step": 71
},
{
"epoch": 3.76,
"learning_rate": 7.263370099279173e-06,
"loss": 0.7421,
"step": 72
},
{
"epoch": 3.81,
"learning_rate": 6.968473258869566e-06,
"loss": 0.4124,
"step": 73
},
{
"epoch": 3.87,
"learning_rate": 6.6764520052034054e-06,
"loss": 0.3462,
"step": 74
},
{
"epoch": 3.92,
"learning_rate": 6.387583338128471e-06,
"loss": 0.349,
"step": 75
},
{
"epoch": 3.97,
"learning_rate": 6.102141267073207e-06,
"loss": 1.2257,
"step": 76
},
{
"epoch": 4.02,
"learning_rate": 5.82039655113217e-06,
"loss": 1.2863,
"step": 77
},
{
"epoch": 4.08,
"learning_rate": 5.542616442234618e-06,
"loss": 0.3211,
"step": 78
},
{
"epoch": 4.13,
"learning_rate": 5.269064431639901e-06,
"loss": 0.31,
"step": 79
},
{
"epoch": 4.18,
"learning_rate": 5.000000000000003e-06,
"loss": 0.4504,
"step": 80
},
{
"epoch": 4.23,
"learning_rate": 4.7356783712264405e-06,
"loss": 0.9732,
"step": 81
},
{
"epoch": 4.28,
"learning_rate": 4.476350270394942e-06,
"loss": 0.4735,
"step": 82
},
{
"epoch": 4.34,
"learning_rate": 4.222261685917489e-06,
"loss": 0.3459,
"step": 83
},
{
"epoch": 4.39,
"learning_rate": 3.973653636207437e-06,
"loss": 0.3582,
"step": 84
},
{
"epoch": 4.44,
"learning_rate": 3.730761941058938e-06,
"loss": 0.2859,
"step": 85
},
{
"epoch": 4.49,
"learning_rate": 3.493816997957582e-06,
"loss": 0.4993,
"step": 86
},
{
"epoch": 4.55,
"learning_rate": 3.2630435635344283e-06,
"loss": 0.2587,
"step": 87
},
{
"epoch": 4.6,
"learning_rate": 3.0386605403707347e-06,
"loss": 0.3786,
"step": 88
},
{
"epoch": 4.65,
"learning_rate": 2.820880769355582e-06,
"loss": 0.583,
"step": 89
},
{
"epoch": 4.7,
"learning_rate": 2.6099108277934105e-06,
"loss": 0.1841,
"step": 90
},
{
"epoch": 4.75,
"learning_rate": 2.405950833452928e-06,
"loss": 0.5851,
"step": 91
},
{
"epoch": 4.81,
"learning_rate": 2.209194254743295e-06,
"loss": 0.3854,
"step": 92
},
{
"epoch": 4.86,
"learning_rate": 2.019827727197605e-06,
"loss": 0.2541,
"step": 93
},
{
"epoch": 4.91,
"learning_rate": 1.8380308764377841e-06,
"loss": 0.2744,
"step": 94
},
{
"epoch": 4.96,
"learning_rate": 1.663976147788806e-06,
"loss": 1.2595,
"step": 95
},
{
"epoch": 5.02,
"learning_rate": 1.4978286427038602e-06,
"loss": 0.4787,
"step": 96
},
{
"epoch": 5.07,
"learning_rate": 1.339745962155613e-06,
"loss": 0.3074,
"step": 97
},
{
"epoch": 5.12,
"learning_rate": 1.1898780571421554e-06,
"loss": 0.2506,
"step": 98
},
{
"epoch": 5.17,
"learning_rate": 1.0483670864493777e-06,
"loss": 0.2573,
"step": 99
},
{
"epoch": 5.22,
"learning_rate": 9.153472818047627e-07,
"loss": 0.4329,
"step": 100
},
{
"epoch": 5.28,
"learning_rate": 7.909448205504633e-07,
"loss": 0.3444,
"step": 101
},
{
"epoch": 5.33,
"learning_rate": 6.752777059564431e-07,
"loss": 0.2794,
"step": 102
},
{
"epoch": 5.38,
"learning_rate": 5.684556552872256e-07,
"loss": 0.1904,
"step": 103
},
{
"epoch": 5.43,
"learning_rate": 4.7057999572843516e-07,
"loss": 0.1883,
"step": 104
},
{
"epoch": 5.49,
"learning_rate": 3.817435682718096e-07,
"loss": 0.336,
"step": 105
},
{
"epoch": 5.54,
"learning_rate": 3.020306396499062e-07,
"loss": 0.2153,
"step": 106
},
{
"epoch": 5.59,
"learning_rate": 2.315168224039932e-07,
"loss": 0.3137,
"step": 107
},
{
"epoch": 5.64,
"learning_rate": 1.7026900316098217e-07,
"loss": 0.5295,
"step": 108
},
{
"epoch": 5.69,
"learning_rate": 1.1834527918740624e-07,
"loss": 0.1493,
"step": 109
},
{
"epoch": 5.75,
"learning_rate": 7.579490328064265e-08,
"loss": 0.2642,
"step": 110
},
{
"epoch": 5.8,
"learning_rate": 4.2658237049655325e-08,
"loss": 0.451,
"step": 111
},
{
"epoch": 5.85,
"learning_rate": 1.896671262955896e-08,
"loss": 0.2226,
"step": 112
},
{
"epoch": 5.9,
"learning_rate": 4.74280286634099e-09,
"loss": 0.2032,
"step": 113
},
{
"epoch": 5.96,
"learning_rate": 0.0,
"loss": 1.0243,
"step": 114
},
{
"epoch": 5.96,
"step": 114,
"total_flos": 5.099950184243134e+18,
"train_loss": 0.9238093463998092,
"train_runtime": 10543.1888,
"train_samples_per_second": 5.577,
"train_steps_per_second": 0.011
}
],
"logging_steps": 1.0,
"max_steps": 114,
"num_train_epochs": 6,
"save_steps": 100,
"total_flos": 5.099950184243134e+18,
"trial_name": null,
"trial_params": null
}