tmnam20's picture
Training in progress, step 42000, checkpoint
8738ecb
raw
history blame
16.1 kB
{
"best_metric": 1.0021992921829224,
"best_model_checkpoint": "/kaggle/output/checkpoint-42000",
"epoch": 1.711212516297262,
"eval_steps": 1000,
"global_step": 42000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0,
"learning_rate": 2.7777777777777777e-11,
"loss": 1.0788,
"step": 1
},
{
"epoch": 0.04,
"learning_rate": 2.7750000000000004e-08,
"loss": 1.2063,
"step": 1000
},
{
"epoch": 0.04,
"eval_accuracy": 0.32894211576846305,
"eval_loss": 1.109653115272522,
"eval_runtime": 50.6057,
"eval_samples_per_second": 99.001,
"eval_steps_per_second": 12.39,
"step": 1000
},
{
"epoch": 0.08,
"learning_rate": 5.5527777777777784e-08,
"loss": 1.1293,
"step": 2000
},
{
"epoch": 0.08,
"eval_accuracy": 0.32994011976047904,
"eval_loss": 1.1056402921676636,
"eval_runtime": 50.7169,
"eval_samples_per_second": 98.784,
"eval_steps_per_second": 12.363,
"step": 2000
},
{
"epoch": 0.12,
"learning_rate": 8.327777777777778e-08,
"loss": 1.1263,
"step": 3000
},
{
"epoch": 0.12,
"eval_accuracy": 0.3347305389221557,
"eval_loss": 1.1063188314437866,
"eval_runtime": 50.8081,
"eval_samples_per_second": 98.606,
"eval_steps_per_second": 12.341,
"step": 3000
},
{
"epoch": 0.16,
"learning_rate": 1.1105555555555557e-07,
"loss": 1.1211,
"step": 4000
},
{
"epoch": 0.16,
"eval_accuracy": 0.34291417165668664,
"eval_loss": 1.1010773181915283,
"eval_runtime": 50.6469,
"eval_samples_per_second": 98.92,
"eval_steps_per_second": 12.38,
"step": 4000
},
{
"epoch": 0.2,
"learning_rate": 1.3883333333333335e-07,
"loss": 1.1176,
"step": 5000
},
{
"epoch": 0.2,
"eval_accuracy": 0.3395209580838323,
"eval_loss": 1.099412441253662,
"eval_runtime": 50.7266,
"eval_samples_per_second": 98.765,
"eval_steps_per_second": 12.36,
"step": 5000
},
{
"epoch": 0.24,
"learning_rate": 1.6658333333333335e-07,
"loss": 1.1165,
"step": 6000
},
{
"epoch": 0.24,
"eval_accuracy": 0.3596806387225549,
"eval_loss": 1.0983413457870483,
"eval_runtime": 50.7493,
"eval_samples_per_second": 98.721,
"eval_steps_per_second": 12.355,
"step": 6000
},
{
"epoch": 0.29,
"learning_rate": 1.9436111111111112e-07,
"loss": 1.1127,
"step": 7000
},
{
"epoch": 0.29,
"eval_accuracy": 0.35768463073852297,
"eval_loss": 1.094804048538208,
"eval_runtime": 50.8322,
"eval_samples_per_second": 98.56,
"eval_steps_per_second": 12.335,
"step": 7000
},
{
"epoch": 0.33,
"learning_rate": 2.2213888888888891e-07,
"loss": 1.1095,
"step": 8000
},
{
"epoch": 0.33,
"eval_accuracy": 0.36407185628742517,
"eval_loss": 1.0937609672546387,
"eval_runtime": 50.8609,
"eval_samples_per_second": 98.504,
"eval_steps_per_second": 12.328,
"step": 8000
},
{
"epoch": 0.37,
"learning_rate": 2.499166666666667e-07,
"loss": 1.1074,
"step": 9000
},
{
"epoch": 0.37,
"eval_accuracy": 0.34770459081836325,
"eval_loss": 1.1025313138961792,
"eval_runtime": 50.8052,
"eval_samples_per_second": 98.612,
"eval_steps_per_second": 12.341,
"step": 9000
},
{
"epoch": 0.41,
"learning_rate": 2.776666666666667e-07,
"loss": 1.1065,
"step": 10000
},
{
"epoch": 0.41,
"eval_accuracy": 0.38163672654690617,
"eval_loss": 1.0920748710632324,
"eval_runtime": 50.8964,
"eval_samples_per_second": 98.435,
"eval_steps_per_second": 12.319,
"step": 10000
},
{
"epoch": 0.45,
"learning_rate": 3.054444444444444e-07,
"loss": 1.1026,
"step": 11000
},
{
"epoch": 0.45,
"eval_accuracy": 0.37944111776447104,
"eval_loss": 1.0899525880813599,
"eval_runtime": 50.6905,
"eval_samples_per_second": 98.835,
"eval_steps_per_second": 12.369,
"step": 11000
},
{
"epoch": 0.49,
"learning_rate": 3.3319444444444444e-07,
"loss": 1.1016,
"step": 12000
},
{
"epoch": 0.49,
"eval_accuracy": 0.4,
"eval_loss": 1.0867687463760376,
"eval_runtime": 50.8282,
"eval_samples_per_second": 98.567,
"eval_steps_per_second": 12.336,
"step": 12000
},
{
"epoch": 0.53,
"learning_rate": 3.6094444444444446e-07,
"loss": 1.0999,
"step": 13000
},
{
"epoch": 0.53,
"eval_accuracy": 0.3467065868263473,
"eval_loss": 1.0919947624206543,
"eval_runtime": 50.7953,
"eval_samples_per_second": 98.631,
"eval_steps_per_second": 12.344,
"step": 13000
},
{
"epoch": 0.57,
"learning_rate": 3.8872222222222223e-07,
"loss": 1.0976,
"step": 14000
},
{
"epoch": 0.57,
"eval_accuracy": 0.38003992015968063,
"eval_loss": 1.0882444381713867,
"eval_runtime": 50.8866,
"eval_samples_per_second": 98.454,
"eval_steps_per_second": 12.322,
"step": 14000
},
{
"epoch": 0.61,
"learning_rate": 4.1650000000000006e-07,
"loss": 1.0951,
"step": 15000
},
{
"epoch": 0.61,
"eval_accuracy": 0.4229540918163673,
"eval_loss": 1.0766451358795166,
"eval_runtime": 50.7597,
"eval_samples_per_second": 98.7,
"eval_steps_per_second": 12.352,
"step": 15000
},
{
"epoch": 0.65,
"learning_rate": 4.4425e-07,
"loss": 1.087,
"step": 16000
},
{
"epoch": 0.65,
"eval_accuracy": 0.4339321357285429,
"eval_loss": 1.0621711015701294,
"eval_runtime": 50.7559,
"eval_samples_per_second": 98.708,
"eval_steps_per_second": 12.353,
"step": 16000
},
{
"epoch": 0.69,
"learning_rate": 4.7202777777777785e-07,
"loss": 1.0769,
"step": 17000
},
{
"epoch": 0.69,
"eval_accuracy": 0.4357285429141717,
"eval_loss": 1.0624364614486694,
"eval_runtime": 50.8608,
"eval_samples_per_second": 98.504,
"eval_steps_per_second": 12.328,
"step": 17000
},
{
"epoch": 0.73,
"learning_rate": 4.998055555555556e-07,
"loss": 1.0798,
"step": 18000
},
{
"epoch": 0.73,
"eval_accuracy": 0.4311377245508982,
"eval_loss": 1.0611094236373901,
"eval_runtime": 50.7255,
"eval_samples_per_second": 98.767,
"eval_steps_per_second": 12.361,
"step": 18000
},
{
"epoch": 0.77,
"learning_rate": 5.275555555555556e-07,
"loss": 1.0717,
"step": 19000
},
{
"epoch": 0.77,
"eval_accuracy": 0.43852295409181635,
"eval_loss": 1.056412935256958,
"eval_runtime": 50.8955,
"eval_samples_per_second": 98.437,
"eval_steps_per_second": 12.319,
"step": 19000
},
{
"epoch": 0.81,
"learning_rate": 5.553333333333334e-07,
"loss": 1.0682,
"step": 20000
},
{
"epoch": 0.81,
"eval_accuracy": 0.43313373253493015,
"eval_loss": 1.0576339960098267,
"eval_runtime": 50.6675,
"eval_samples_per_second": 98.88,
"eval_steps_per_second": 12.375,
"step": 20000
},
{
"epoch": 0.86,
"learning_rate": 5.830833333333334e-07,
"loss": 1.0674,
"step": 21000
},
{
"epoch": 0.86,
"eval_accuracy": 0.4305389221556886,
"eval_loss": 1.057605504989624,
"eval_runtime": 50.8082,
"eval_samples_per_second": 98.606,
"eval_steps_per_second": 12.341,
"step": 21000
},
{
"epoch": 0.9,
"learning_rate": 6.108611111111111e-07,
"loss": 1.0689,
"step": 22000
},
{
"epoch": 0.9,
"eval_accuracy": 0.4351297405189621,
"eval_loss": 1.0509696006774902,
"eval_runtime": 50.7595,
"eval_samples_per_second": 98.701,
"eval_steps_per_second": 12.352,
"step": 22000
},
{
"epoch": 0.94,
"learning_rate": 6.386388888888889e-07,
"loss": 1.065,
"step": 23000
},
{
"epoch": 0.94,
"eval_accuracy": 0.4363273453093812,
"eval_loss": 1.0513038635253906,
"eval_runtime": 50.685,
"eval_samples_per_second": 98.846,
"eval_steps_per_second": 12.371,
"step": 23000
},
{
"epoch": 0.98,
"learning_rate": 6.663888888888889e-07,
"loss": 1.0638,
"step": 24000
},
{
"epoch": 0.98,
"eval_accuracy": 0.4429141716566866,
"eval_loss": 1.04515540599823,
"eval_runtime": 50.9215,
"eval_samples_per_second": 98.387,
"eval_steps_per_second": 12.313,
"step": 24000
},
{
"epoch": 1.02,
"learning_rate": 6.941666666666667e-07,
"loss": 1.0607,
"step": 25000
},
{
"epoch": 1.02,
"eval_accuracy": 0.4471057884231537,
"eval_loss": 1.0432593822479248,
"eval_runtime": 50.8338,
"eval_samples_per_second": 98.556,
"eval_steps_per_second": 12.334,
"step": 25000
},
{
"epoch": 1.06,
"learning_rate": 7.219444444444444e-07,
"loss": 1.0578,
"step": 26000
},
{
"epoch": 1.06,
"eval_accuracy": 0.4407185628742515,
"eval_loss": 1.044198751449585,
"eval_runtime": 50.8791,
"eval_samples_per_second": 98.469,
"eval_steps_per_second": 12.323,
"step": 26000
},
{
"epoch": 1.1,
"learning_rate": 7.496944444444444e-07,
"loss": 1.0602,
"step": 27000
},
{
"epoch": 1.1,
"eval_accuracy": 0.4363273453093812,
"eval_loss": 1.045542597770691,
"eval_runtime": 50.8933,
"eval_samples_per_second": 98.441,
"eval_steps_per_second": 12.32,
"step": 27000
},
{
"epoch": 1.14,
"learning_rate": 7.774722222222223e-07,
"loss": 1.0566,
"step": 28000
},
{
"epoch": 1.14,
"eval_accuracy": 0.437125748502994,
"eval_loss": 1.038167953491211,
"eval_runtime": 50.8894,
"eval_samples_per_second": 98.449,
"eval_steps_per_second": 12.321,
"step": 28000
},
{
"epoch": 1.18,
"learning_rate": 8.052222222222223e-07,
"loss": 1.0528,
"step": 29000
},
{
"epoch": 1.18,
"eval_accuracy": 0.45069860279441115,
"eval_loss": 1.0337190628051758,
"eval_runtime": 50.8393,
"eval_samples_per_second": 98.546,
"eval_steps_per_second": 12.333,
"step": 29000
},
{
"epoch": 1.22,
"learning_rate": 8.330000000000001e-07,
"loss": 1.0507,
"step": 30000
},
{
"epoch": 1.22,
"eval_accuracy": 0.4497005988023952,
"eval_loss": 1.0287295579910278,
"eval_runtime": 50.8361,
"eval_samples_per_second": 98.552,
"eval_steps_per_second": 12.334,
"step": 30000
},
{
"epoch": 1.26,
"learning_rate": 8.607777777777779e-07,
"loss": 1.0553,
"step": 31000
},
{
"epoch": 1.26,
"eval_accuracy": 0.45209580838323354,
"eval_loss": 1.0318636894226074,
"eval_runtime": 50.8224,
"eval_samples_per_second": 98.578,
"eval_steps_per_second": 12.337,
"step": 31000
},
{
"epoch": 1.3,
"learning_rate": 8.885277777777779e-07,
"loss": 1.0509,
"step": 32000
},
{
"epoch": 1.3,
"eval_accuracy": 0.4530938123752495,
"eval_loss": 1.0215647220611572,
"eval_runtime": 50.8903,
"eval_samples_per_second": 98.447,
"eval_steps_per_second": 12.321,
"step": 32000
},
{
"epoch": 1.34,
"learning_rate": 9.163055555555556e-07,
"loss": 1.0444,
"step": 33000
},
{
"epoch": 1.34,
"eval_accuracy": 0.47025948103792414,
"eval_loss": 1.0156230926513672,
"eval_runtime": 50.8879,
"eval_samples_per_second": 98.452,
"eval_steps_per_second": 12.321,
"step": 33000
},
{
"epoch": 1.39,
"learning_rate": 9.440833333333335e-07,
"loss": 1.0383,
"step": 34000
},
{
"epoch": 1.39,
"eval_accuracy": 0.4686626746506986,
"eval_loss": 1.0187312364578247,
"eval_runtime": 50.7712,
"eval_samples_per_second": 98.678,
"eval_steps_per_second": 12.35,
"step": 34000
},
{
"epoch": 1.43,
"learning_rate": 9.718333333333334e-07,
"loss": 1.043,
"step": 35000
},
{
"epoch": 1.43,
"eval_accuracy": 0.4748502994011976,
"eval_loss": 1.0167384147644043,
"eval_runtime": 50.6223,
"eval_samples_per_second": 98.968,
"eval_steps_per_second": 12.386,
"step": 35000
},
{
"epoch": 1.47,
"learning_rate": 9.996111111111111e-07,
"loss": 1.0396,
"step": 36000
},
{
"epoch": 1.47,
"eval_accuracy": 0.47964071856287427,
"eval_loss": 1.0082147121429443,
"eval_runtime": 50.671,
"eval_samples_per_second": 98.873,
"eval_steps_per_second": 12.374,
"step": 36000
},
{
"epoch": 1.51,
"learning_rate": 1.0273888888888891e-06,
"loss": 1.0373,
"step": 37000
},
{
"epoch": 1.51,
"eval_accuracy": 0.4802395209580838,
"eval_loss": 1.0071511268615723,
"eval_runtime": 50.5903,
"eval_samples_per_second": 99.031,
"eval_steps_per_second": 12.394,
"step": 37000
},
{
"epoch": 1.55,
"learning_rate": 1.0551666666666669e-06,
"loss": 1.0371,
"step": 38000
},
{
"epoch": 1.55,
"eval_accuracy": 0.49481037924151694,
"eval_loss": 1.0086288452148438,
"eval_runtime": 50.7157,
"eval_samples_per_second": 98.786,
"eval_steps_per_second": 12.363,
"step": 38000
},
{
"epoch": 1.59,
"learning_rate": 1.082888888888889e-06,
"loss": 1.0367,
"step": 39000
},
{
"epoch": 1.59,
"eval_accuracy": 0.4884231536926148,
"eval_loss": 1.0103219747543335,
"eval_runtime": 50.6401,
"eval_samples_per_second": 98.934,
"eval_steps_per_second": 12.382,
"step": 39000
},
{
"epoch": 1.63,
"learning_rate": 1.1106666666666668e-06,
"loss": 1.0311,
"step": 40000
},
{
"epoch": 1.63,
"eval_accuracy": 0.4846307385229541,
"eval_loss": 1.0027852058410645,
"eval_runtime": 50.6939,
"eval_samples_per_second": 98.828,
"eval_steps_per_second": 12.368,
"step": 40000
},
{
"epoch": 1.67,
"learning_rate": 1.1384444444444446e-06,
"loss": 1.032,
"step": 41000
},
{
"epoch": 1.67,
"eval_accuracy": 0.48862275449101794,
"eval_loss": 1.0152778625488281,
"eval_runtime": 50.7815,
"eval_samples_per_second": 98.658,
"eval_steps_per_second": 12.347,
"step": 41000
},
{
"epoch": 1.71,
"learning_rate": 1.1661944444444447e-06,
"loss": 1.0311,
"step": 42000
},
{
"epoch": 1.71,
"eval_accuracy": 0.4812375249500998,
"eval_loss": 1.0021992921829224,
"eval_runtime": 50.7722,
"eval_samples_per_second": 98.676,
"eval_steps_per_second": 12.349,
"step": 42000
}
],
"logging_steps": 1000,
"max_steps": 10000000,
"num_train_epochs": 408,
"save_steps": 1000,
"total_flos": 8.77946541810647e+16,
"trial_name": null,
"trial_params": null
}