tmnam20's picture
Training in progress, step 20000, checkpoint
2ece389
raw
history blame
7.94 kB
{
"best_metric": 1.056412935256958,
"best_model_checkpoint": "/kaggle/output/checkpoint-19000",
"epoch": 0.8148631029986962,
"eval_steps": 1000,
"global_step": 20000,
"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
}
],
"logging_steps": 1000,
"max_steps": 10000000,
"num_train_epochs": 408,
"save_steps": 1000,
"total_flos": 4.180710260736e+16,
"trial_name": null,
"trial_params": null
}