ryusangwon's picture
Model save
fcdc3bf verified
raw
history blame
6.42 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.3295978905735003,
"eval_steps": 500,
"global_step": 500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 4.98901340364755e-05,
"loss": 1.7796,
"step": 10
},
{
"epoch": 0.01,
"learning_rate": 4.9780268072951005e-05,
"loss": 1.7713,
"step": 20
},
{
"epoch": 0.02,
"learning_rate": 4.96704021094265e-05,
"loss": 1.7176,
"step": 30
},
{
"epoch": 0.03,
"learning_rate": 4.9560536145902e-05,
"loss": 1.6604,
"step": 40
},
{
"epoch": 0.03,
"learning_rate": 4.94506701823775e-05,
"loss": 1.6656,
"step": 50
},
{
"epoch": 0.04,
"learning_rate": 4.9340804218853e-05,
"loss": 1.6062,
"step": 60
},
{
"epoch": 0.05,
"learning_rate": 4.92309382553285e-05,
"loss": 1.5675,
"step": 70
},
{
"epoch": 0.05,
"learning_rate": 4.9121072291804e-05,
"loss": 1.5991,
"step": 80
},
{
"epoch": 0.06,
"learning_rate": 4.90112063282795e-05,
"loss": 1.5755,
"step": 90
},
{
"epoch": 0.07,
"learning_rate": 4.8901340364755e-05,
"loss": 1.5343,
"step": 100
},
{
"epoch": 0.07,
"learning_rate": 4.8791474401230506e-05,
"loss": 1.5777,
"step": 110
},
{
"epoch": 0.08,
"learning_rate": 4.8681608437706e-05,
"loss": 1.5148,
"step": 120
},
{
"epoch": 0.09,
"learning_rate": 4.85717424741815e-05,
"loss": 1.514,
"step": 130
},
{
"epoch": 0.09,
"learning_rate": 4.8461876510657e-05,
"loss": 1.5594,
"step": 140
},
{
"epoch": 0.1,
"learning_rate": 4.83520105471325e-05,
"loss": 1.5238,
"step": 150
},
{
"epoch": 0.11,
"learning_rate": 4.8242144583608e-05,
"loss": 1.5445,
"step": 160
},
{
"epoch": 0.11,
"learning_rate": 4.81322786200835e-05,
"loss": 1.4958,
"step": 170
},
{
"epoch": 0.12,
"learning_rate": 4.8022412656559004e-05,
"loss": 1.531,
"step": 180
},
{
"epoch": 0.13,
"learning_rate": 4.79125466930345e-05,
"loss": 1.4877,
"step": 190
},
{
"epoch": 0.13,
"learning_rate": 4.780268072951e-05,
"loss": 1.5099,
"step": 200
},
{
"epoch": 0.14,
"learning_rate": 4.76928147659855e-05,
"loss": 1.5628,
"step": 210
},
{
"epoch": 0.15,
"learning_rate": 4.7582948802461e-05,
"loss": 1.5843,
"step": 220
},
{
"epoch": 0.15,
"learning_rate": 4.74730828389365e-05,
"loss": 1.4917,
"step": 230
},
{
"epoch": 0.16,
"learning_rate": 4.7363216875412e-05,
"loss": 1.5552,
"step": 240
},
{
"epoch": 0.16,
"learning_rate": 4.72533509118875e-05,
"loss": 1.5284,
"step": 250
},
{
"epoch": 0.17,
"learning_rate": 4.7143484948363e-05,
"loss": 1.5283,
"step": 260
},
{
"epoch": 0.18,
"learning_rate": 4.70336189848385e-05,
"loss": 1.5425,
"step": 270
},
{
"epoch": 0.18,
"learning_rate": 4.6923753021313996e-05,
"loss": 1.5408,
"step": 280
},
{
"epoch": 0.19,
"learning_rate": 4.68138870577895e-05,
"loss": 1.5508,
"step": 290
},
{
"epoch": 0.2,
"learning_rate": 4.6704021094265e-05,
"loss": 1.5359,
"step": 300
},
{
"epoch": 0.2,
"learning_rate": 4.6594155130740496e-05,
"loss": 1.5042,
"step": 310
},
{
"epoch": 0.21,
"learning_rate": 4.6484289167216e-05,
"loss": 1.5511,
"step": 320
},
{
"epoch": 0.22,
"learning_rate": 4.63744232036915e-05,
"loss": 1.5468,
"step": 330
},
{
"epoch": 0.22,
"learning_rate": 4.6264557240167003e-05,
"loss": 1.4891,
"step": 340
},
{
"epoch": 0.23,
"learning_rate": 4.6154691276642495e-05,
"loss": 1.5386,
"step": 350
},
{
"epoch": 0.24,
"learning_rate": 4.6044825313118e-05,
"loss": 1.525,
"step": 360
},
{
"epoch": 0.24,
"learning_rate": 4.59349593495935e-05,
"loss": 1.5367,
"step": 370
},
{
"epoch": 0.25,
"learning_rate": 4.5825093386068995e-05,
"loss": 1.5011,
"step": 380
},
{
"epoch": 0.26,
"learning_rate": 4.57152274225445e-05,
"loss": 1.5259,
"step": 390
},
{
"epoch": 0.26,
"learning_rate": 4.560536145902e-05,
"loss": 1.4764,
"step": 400
},
{
"epoch": 0.27,
"learning_rate": 4.54954954954955e-05,
"loss": 1.5166,
"step": 410
},
{
"epoch": 0.28,
"learning_rate": 4.5385629531971e-05,
"loss": 1.5049,
"step": 420
},
{
"epoch": 0.28,
"learning_rate": 4.52757635684465e-05,
"loss": 1.5383,
"step": 430
},
{
"epoch": 0.29,
"learning_rate": 4.5165897604921995e-05,
"loss": 1.5166,
"step": 440
},
{
"epoch": 0.3,
"learning_rate": 4.505603164139749e-05,
"loss": 1.5898,
"step": 450
},
{
"epoch": 0.3,
"learning_rate": 4.4946165677873e-05,
"loss": 1.5512,
"step": 460
},
{
"epoch": 0.31,
"learning_rate": 4.4836299714348496e-05,
"loss": 1.5215,
"step": 470
},
{
"epoch": 0.32,
"learning_rate": 4.4726433750824e-05,
"loss": 1.5372,
"step": 480
},
{
"epoch": 0.32,
"learning_rate": 4.46165677872995e-05,
"loss": 1.4994,
"step": 490
},
{
"epoch": 0.33,
"learning_rate": 4.4506701823774996e-05,
"loss": 1.5261,
"step": 500
}
],
"logging_steps": 10,
"max_steps": 4551,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"total_flos": 3.1601241096192e+17,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}