tmnam20's picture
Training in progress, step 21000, checkpoint
f4f92e4
{
"best_metric": 1.0611063241958618,
"best_model_checkpoint": "/kaggle/output/checkpoint-21000",
"epoch": 0.855606258148631,
"eval_steps": 1000,
"global_step": 21000,
"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": 1.1383,
"step": 1
},
{
"epoch": 0.04,
"learning_rate": 2.7750000000000004e-08,
"loss": 1.1424,
"step": 1000
},
{
"epoch": 0.04,
"eval_accuracy": 0.32375249500998005,
"eval_loss": 1.1077626943588257,
"eval_runtime": 54.8633,
"eval_samples_per_second": 91.318,
"eval_steps_per_second": 11.428,
"step": 1000
},
{
"epoch": 0.08,
"learning_rate": 5.5527777777777784e-08,
"loss": 1.1244,
"step": 2000
},
{
"epoch": 0.08,
"eval_accuracy": 0.33652694610778444,
"eval_loss": 1.1080161333084106,
"eval_runtime": 54.7384,
"eval_samples_per_second": 91.526,
"eval_steps_per_second": 11.454,
"step": 2000
},
{
"epoch": 0.12,
"learning_rate": 8.327777777777778e-08,
"loss": 1.1228,
"step": 3000
},
{
"epoch": 0.12,
"eval_accuracy": 0.34331337325349304,
"eval_loss": 1.1084064245224,
"eval_runtime": 54.7948,
"eval_samples_per_second": 91.432,
"eval_steps_per_second": 11.443,
"step": 3000
},
{
"epoch": 0.16,
"learning_rate": 1.1105555555555557e-07,
"loss": 1.1216,
"step": 4000
},
{
"epoch": 0.16,
"eval_accuracy": 0.3385229540918164,
"eval_loss": 1.1014840602874756,
"eval_runtime": 54.8508,
"eval_samples_per_second": 91.339,
"eval_steps_per_second": 11.431,
"step": 4000
},
{
"epoch": 0.2,
"learning_rate": 1.3880555555555558e-07,
"loss": 1.1181,
"step": 5000
},
{
"epoch": 0.2,
"eval_accuracy": 0.33073852295409184,
"eval_loss": 1.1008135080337524,
"eval_runtime": 54.8304,
"eval_samples_per_second": 91.373,
"eval_steps_per_second": 11.435,
"step": 5000
},
{
"epoch": 0.24,
"learning_rate": 1.6658333333333335e-07,
"loss": 1.1132,
"step": 6000
},
{
"epoch": 0.24,
"eval_accuracy": 0.3520958083832335,
"eval_loss": 1.0993762016296387,
"eval_runtime": 54.8804,
"eval_samples_per_second": 91.289,
"eval_steps_per_second": 11.425,
"step": 6000
},
{
"epoch": 0.29,
"learning_rate": 1.9433333333333334e-07,
"loss": 1.1113,
"step": 7000
},
{
"epoch": 0.29,
"eval_accuracy": 0.3530938123752495,
"eval_loss": 1.0965770483016968,
"eval_runtime": 54.8881,
"eval_samples_per_second": 91.277,
"eval_steps_per_second": 11.423,
"step": 7000
},
{
"epoch": 0.33,
"learning_rate": 2.2211111111111114e-07,
"loss": 1.1111,
"step": 8000
},
{
"epoch": 0.33,
"eval_accuracy": 0.35708582834331337,
"eval_loss": 1.094658613204956,
"eval_runtime": 54.8233,
"eval_samples_per_second": 91.384,
"eval_steps_per_second": 11.437,
"step": 8000
},
{
"epoch": 0.37,
"learning_rate": 2.4986111111111113e-07,
"loss": 1.109,
"step": 9000
},
{
"epoch": 0.37,
"eval_accuracy": 0.34191616766467064,
"eval_loss": 1.106990933418274,
"eval_runtime": 54.9095,
"eval_samples_per_second": 91.241,
"eval_steps_per_second": 11.419,
"step": 9000
},
{
"epoch": 0.41,
"learning_rate": 2.776388888888889e-07,
"loss": 1.1036,
"step": 10000
},
{
"epoch": 0.41,
"eval_accuracy": 0.37584830339321357,
"eval_loss": 1.0930211544036865,
"eval_runtime": 54.9067,
"eval_samples_per_second": 91.246,
"eval_steps_per_second": 11.419,
"step": 10000
},
{
"epoch": 0.45,
"learning_rate": 3.0541666666666667e-07,
"loss": 1.1045,
"step": 11000
},
{
"epoch": 0.45,
"eval_accuracy": 0.3652694610778443,
"eval_loss": 1.092846393585205,
"eval_runtime": 54.8964,
"eval_samples_per_second": 91.263,
"eval_steps_per_second": 11.422,
"step": 11000
},
{
"epoch": 0.49,
"learning_rate": 3.3319444444444444e-07,
"loss": 1.1024,
"step": 12000
},
{
"epoch": 0.49,
"eval_accuracy": 0.39261477045908183,
"eval_loss": 1.089038372039795,
"eval_runtime": 54.9763,
"eval_samples_per_second": 91.13,
"eval_steps_per_second": 11.405,
"step": 12000
},
{
"epoch": 0.53,
"learning_rate": 3.6094444444444446e-07,
"loss": 1.1007,
"step": 13000
},
{
"epoch": 0.53,
"eval_accuracy": 0.34311377245508984,
"eval_loss": 1.0933948755264282,
"eval_runtime": 54.9285,
"eval_samples_per_second": 91.209,
"eval_steps_per_second": 11.415,
"step": 13000
},
{
"epoch": 0.57,
"learning_rate": 3.8872222222222223e-07,
"loss": 1.0985,
"step": 14000
},
{
"epoch": 0.57,
"eval_accuracy": 0.36367265469061877,
"eval_loss": 1.09434974193573,
"eval_runtime": 54.8032,
"eval_samples_per_second": 91.418,
"eval_steps_per_second": 11.441,
"step": 14000
},
{
"epoch": 0.61,
"learning_rate": 4.1650000000000006e-07,
"loss": 1.0988,
"step": 15000
},
{
"epoch": 0.61,
"eval_accuracy": 0.39481037924151696,
"eval_loss": 1.0886671543121338,
"eval_runtime": 54.9221,
"eval_samples_per_second": 91.22,
"eval_steps_per_second": 11.416,
"step": 15000
},
{
"epoch": 0.65,
"learning_rate": 4.4425e-07,
"loss": 1.0965,
"step": 16000
},
{
"epoch": 0.65,
"eval_accuracy": 0.3916167664670659,
"eval_loss": 1.0834949016571045,
"eval_runtime": 54.5628,
"eval_samples_per_second": 91.821,
"eval_steps_per_second": 11.491,
"step": 16000
},
{
"epoch": 0.69,
"learning_rate": 4.7202777777777785e-07,
"loss": 1.0926,
"step": 17000
},
{
"epoch": 0.69,
"eval_accuracy": 0.4239520958083832,
"eval_loss": 1.079688310623169,
"eval_runtime": 54.6989,
"eval_samples_per_second": 91.592,
"eval_steps_per_second": 11.463,
"step": 17000
},
{
"epoch": 0.73,
"learning_rate": 4.998055555555556e-07,
"loss": 1.0956,
"step": 18000
},
{
"epoch": 0.73,
"eval_accuracy": 0.4219560878243513,
"eval_loss": 1.080493688583374,
"eval_runtime": 54.6863,
"eval_samples_per_second": 91.613,
"eval_steps_per_second": 11.465,
"step": 18000
},
{
"epoch": 0.77,
"learning_rate": 5.275555555555556e-07,
"loss": 1.0878,
"step": 19000
},
{
"epoch": 0.77,
"eval_accuracy": 0.4343313373253493,
"eval_loss": 1.0664235353469849,
"eval_runtime": 54.7843,
"eval_samples_per_second": 91.45,
"eval_steps_per_second": 11.445,
"step": 19000
},
{
"epoch": 0.81,
"learning_rate": 5.553333333333334e-07,
"loss": 1.0793,
"step": 20000
},
{
"epoch": 0.81,
"eval_accuracy": 0.4365269461077844,
"eval_loss": 1.06390380859375,
"eval_runtime": 54.7978,
"eval_samples_per_second": 91.427,
"eval_steps_per_second": 11.442,
"step": 20000
},
{
"epoch": 0.86,
"learning_rate": 5.830833333333334e-07,
"loss": 1.0746,
"step": 21000
},
{
"epoch": 0.86,
"eval_accuracy": 0.4311377245508982,
"eval_loss": 1.0611063241958618,
"eval_runtime": 54.6084,
"eval_samples_per_second": 91.744,
"eval_steps_per_second": 11.482,
"step": 21000
}
],
"logging_steps": 1000,
"max_steps": 10000000,
"num_train_epochs": 408,
"save_steps": 1000,
"total_flos": 4.3897457737728e+16,
"trial_name": null,
"trial_params": null
}