tmnam20's picture
Training in progress, step 28000, checkpoint
d29253f
raw
history blame
10.9 kB
{
"best_metric": 1.0424726009368896,
"best_model_checkpoint": "/kaggle/output/checkpoint-28000",
"epoch": 1.1408083441981747,
"eval_steps": 1000,
"global_step": 28000,
"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": 1.2076,
"step": 1
},
{
"epoch": 0.04,
"learning_rate": 2.7750000000000004e-08,
"loss": 1.1301,
"step": 1000
},
{
"epoch": 0.04,
"eval_accuracy": 0.3321357285429142,
"eval_loss": 1.1047232151031494,
"eval_runtime": 50.8344,
"eval_samples_per_second": 98.555,
"eval_steps_per_second": 12.334,
"step": 1000
},
{
"epoch": 0.08,
"learning_rate": 5.5527777777777784e-08,
"loss": 1.1286,
"step": 2000
},
{
"epoch": 0.08,
"eval_accuracy": 0.3377245508982036,
"eval_loss": 1.1038333177566528,
"eval_runtime": 50.8114,
"eval_samples_per_second": 98.6,
"eval_steps_per_second": 12.34,
"step": 2000
},
{
"epoch": 0.12,
"learning_rate": 8.327777777777778e-08,
"loss": 1.1214,
"step": 3000
},
{
"epoch": 0.12,
"eval_accuracy": 0.3409181636726547,
"eval_loss": 1.103529930114746,
"eval_runtime": 50.8258,
"eval_samples_per_second": 98.572,
"eval_steps_per_second": 12.336,
"step": 3000
},
{
"epoch": 0.16,
"learning_rate": 1.1105555555555557e-07,
"loss": 1.1249,
"step": 4000
},
{
"epoch": 0.16,
"eval_accuracy": 0.3469061876247505,
"eval_loss": 1.1000434160232544,
"eval_runtime": 50.6414,
"eval_samples_per_second": 98.931,
"eval_steps_per_second": 12.381,
"step": 4000
},
{
"epoch": 0.2,
"learning_rate": 1.3880555555555558e-07,
"loss": 1.1206,
"step": 5000
},
{
"epoch": 0.2,
"eval_accuracy": 0.34171656686626745,
"eval_loss": 1.0996097326278687,
"eval_runtime": 50.6956,
"eval_samples_per_second": 98.825,
"eval_steps_per_second": 12.368,
"step": 5000
},
{
"epoch": 0.24,
"learning_rate": 1.6658333333333335e-07,
"loss": 1.1161,
"step": 6000
},
{
"epoch": 0.24,
"eval_accuracy": 0.3590818363273453,
"eval_loss": 1.096977710723877,
"eval_runtime": 50.5826,
"eval_samples_per_second": 99.046,
"eval_steps_per_second": 12.396,
"step": 6000
},
{
"epoch": 0.29,
"learning_rate": 1.9433333333333334e-07,
"loss": 1.1138,
"step": 7000
},
{
"epoch": 0.29,
"eval_accuracy": 0.3532934131736527,
"eval_loss": 1.0949815511703491,
"eval_runtime": 50.5604,
"eval_samples_per_second": 99.089,
"eval_steps_per_second": 12.401,
"step": 7000
},
{
"epoch": 0.33,
"learning_rate": 2.2211111111111114e-07,
"loss": 1.1135,
"step": 8000
},
{
"epoch": 0.33,
"eval_accuracy": 0.36327345309381237,
"eval_loss": 1.093558430671692,
"eval_runtime": 50.608,
"eval_samples_per_second": 98.996,
"eval_steps_per_second": 12.389,
"step": 8000
},
{
"epoch": 0.37,
"learning_rate": 2.4986111111111113e-07,
"loss": 1.1063,
"step": 9000
},
{
"epoch": 0.37,
"eval_accuracy": 0.35548902195608784,
"eval_loss": 1.0992107391357422,
"eval_runtime": 50.5434,
"eval_samples_per_second": 99.123,
"eval_steps_per_second": 12.405,
"step": 9000
},
{
"epoch": 0.41,
"learning_rate": 2.776388888888889e-07,
"loss": 1.1083,
"step": 10000
},
{
"epoch": 0.41,
"eval_accuracy": 0.3836327345309381,
"eval_loss": 1.0920206308364868,
"eval_runtime": 50.5559,
"eval_samples_per_second": 99.098,
"eval_steps_per_second": 12.402,
"step": 10000
},
{
"epoch": 0.45,
"learning_rate": 3.053888888888889e-07,
"loss": 1.1044,
"step": 11000
},
{
"epoch": 0.45,
"eval_accuracy": 0.38762475049900197,
"eval_loss": 1.0904459953308105,
"eval_runtime": 50.9725,
"eval_samples_per_second": 98.288,
"eval_steps_per_second": 12.301,
"step": 11000
},
{
"epoch": 0.49,
"learning_rate": 3.331666666666667e-07,
"loss": 1.1019,
"step": 12000
},
{
"epoch": 0.49,
"eval_accuracy": 0.3912175648702595,
"eval_loss": 1.088543176651001,
"eval_runtime": 50.8297,
"eval_samples_per_second": 98.564,
"eval_steps_per_second": 12.335,
"step": 12000
},
{
"epoch": 0.53,
"learning_rate": 3.609166666666667e-07,
"loss": 1.1032,
"step": 13000
},
{
"epoch": 0.53,
"eval_accuracy": 0.3435129740518962,
"eval_loss": 1.0940682888031006,
"eval_runtime": 51.0031,
"eval_samples_per_second": 98.229,
"eval_steps_per_second": 12.293,
"step": 13000
},
{
"epoch": 0.57,
"learning_rate": 3.886944444444445e-07,
"loss": 1.1006,
"step": 14000
},
{
"epoch": 0.57,
"eval_accuracy": 0.36826347305389223,
"eval_loss": 1.0924910306930542,
"eval_runtime": 51.2753,
"eval_samples_per_second": 97.708,
"eval_steps_per_second": 12.228,
"step": 14000
},
{
"epoch": 0.61,
"learning_rate": 4.164444444444445e-07,
"loss": 1.1,
"step": 15000
},
{
"epoch": 0.61,
"eval_accuracy": 0.38323353293413176,
"eval_loss": 1.0879395008087158,
"eval_runtime": 51.3783,
"eval_samples_per_second": 97.512,
"eval_steps_per_second": 12.204,
"step": 15000
},
{
"epoch": 0.65,
"learning_rate": 4.442222222222223e-07,
"loss": 1.0982,
"step": 16000
},
{
"epoch": 0.65,
"eval_accuracy": 0.3964071856287425,
"eval_loss": 1.0822893381118774,
"eval_runtime": 51.2346,
"eval_samples_per_second": 97.786,
"eval_steps_per_second": 12.238,
"step": 16000
},
{
"epoch": 0.69,
"learning_rate": 4.7197222222222224e-07,
"loss": 1.0953,
"step": 17000
},
{
"epoch": 0.69,
"eval_accuracy": 0.4121756487025948,
"eval_loss": 1.0795228481292725,
"eval_runtime": 51.31,
"eval_samples_per_second": 97.642,
"eval_steps_per_second": 12.22,
"step": 17000
},
{
"epoch": 0.73,
"learning_rate": 4.997500000000001e-07,
"loss": 1.0943,
"step": 18000
},
{
"epoch": 0.73,
"eval_accuracy": 0.42015968063872255,
"eval_loss": 1.079458236694336,
"eval_runtime": 51.3255,
"eval_samples_per_second": 97.612,
"eval_steps_per_second": 12.216,
"step": 18000
},
{
"epoch": 0.77,
"learning_rate": 5.275e-07,
"loss": 1.0885,
"step": 19000
},
{
"epoch": 0.77,
"eval_accuracy": 0.437125748502994,
"eval_loss": 1.0667964220046997,
"eval_runtime": 51.1737,
"eval_samples_per_second": 97.902,
"eval_steps_per_second": 12.252,
"step": 19000
},
{
"epoch": 0.81,
"learning_rate": 5.552777777777778e-07,
"loss": 1.0792,
"step": 20000
},
{
"epoch": 0.81,
"eval_accuracy": 0.4315369261477046,
"eval_loss": 1.0628777742385864,
"eval_runtime": 51.4162,
"eval_samples_per_second": 97.44,
"eval_steps_per_second": 12.195,
"step": 20000
},
{
"epoch": 0.86,
"learning_rate": 5.830277777777779e-07,
"loss": 1.0755,
"step": 21000
},
{
"epoch": 0.86,
"eval_accuracy": 0.4343313373253493,
"eval_loss": 1.0604455471038818,
"eval_runtime": 51.2629,
"eval_samples_per_second": 97.731,
"eval_steps_per_second": 12.231,
"step": 21000
},
{
"epoch": 0.9,
"learning_rate": 6.108055555555556e-07,
"loss": 1.073,
"step": 22000
},
{
"epoch": 0.9,
"eval_accuracy": 0.43353293413173655,
"eval_loss": 1.0552711486816406,
"eval_runtime": 51.2402,
"eval_samples_per_second": 97.775,
"eval_steps_per_second": 12.236,
"step": 22000
},
{
"epoch": 0.94,
"learning_rate": 6.385555555555556e-07,
"loss": 1.0699,
"step": 23000
},
{
"epoch": 0.94,
"eval_accuracy": 0.4313373253493014,
"eval_loss": 1.052398920059204,
"eval_runtime": 51.1758,
"eval_samples_per_second": 97.898,
"eval_steps_per_second": 12.252,
"step": 23000
},
{
"epoch": 0.98,
"learning_rate": 6.663333333333334e-07,
"loss": 1.0695,
"step": 24000
},
{
"epoch": 0.98,
"eval_accuracy": 0.4407185628742515,
"eval_loss": 1.047132968902588,
"eval_runtime": 51.3549,
"eval_samples_per_second": 97.556,
"eval_steps_per_second": 12.209,
"step": 24000
},
{
"epoch": 1.02,
"learning_rate": 6.940833333333334e-07,
"loss": 1.0656,
"step": 25000
},
{
"epoch": 1.02,
"eval_accuracy": 0.4439121756487026,
"eval_loss": 1.045853853225708,
"eval_runtime": 51.1548,
"eval_samples_per_second": 97.938,
"eval_steps_per_second": 12.257,
"step": 25000
},
{
"epoch": 1.06,
"learning_rate": 7.218611111111112e-07,
"loss": 1.0645,
"step": 26000
},
{
"epoch": 1.06,
"eval_accuracy": 0.43273453093812375,
"eval_loss": 1.0467982292175293,
"eval_runtime": 51.1774,
"eval_samples_per_second": 97.895,
"eval_steps_per_second": 12.252,
"step": 26000
},
{
"epoch": 1.1,
"learning_rate": 7.496111111111112e-07,
"loss": 1.0639,
"step": 27000
},
{
"epoch": 1.1,
"eval_accuracy": 0.43313373253493015,
"eval_loss": 1.0436949729919434,
"eval_runtime": 51.1313,
"eval_samples_per_second": 97.983,
"eval_steps_per_second": 12.263,
"step": 27000
},
{
"epoch": 1.14,
"learning_rate": 7.77388888888889e-07,
"loss": 1.0638,
"step": 28000
},
{
"epoch": 1.14,
"eval_accuracy": 0.436127744510978,
"eval_loss": 1.0424726009368896,
"eval_runtime": 51.2359,
"eval_samples_per_second": 97.783,
"eval_steps_per_second": 12.238,
"step": 28000
}
],
"logging_steps": 1000,
"max_steps": 10000000,
"num_train_epochs": 408,
"save_steps": 1000,
"total_flos": 5.85296823559127e+16,
"trial_name": null,
"trial_params": null
}