Technotech's picture
Upload 48 files
d5cd382
raw
history blame contribute delete
No virus
7.96 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.3515968356284793,
"global_step": 3600,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0,
"learning_rate": 5e-05,
"loss": 3.3163,
"step": 50
},
{
"epoch": 0.01,
"learning_rate": 0.0001,
"loss": 2.491,
"step": 100
},
{
"epoch": 0.01,
"learning_rate": 0.0001,
"loss": 2.0415,
"step": 150
},
{
"epoch": 0.02,
"learning_rate": 0.0001,
"loss": 1.9681,
"step": 200
},
{
"epoch": 0.02,
"learning_rate": 0.0001,
"loss": 1.8944,
"step": 250
},
{
"epoch": 0.03,
"learning_rate": 0.0001,
"loss": 1.8218,
"step": 300
},
{
"epoch": 0.03,
"learning_rate": 0.0001,
"loss": 1.7536,
"step": 350
},
{
"epoch": 0.04,
"learning_rate": 0.0001,
"loss": 1.681,
"step": 400
},
{
"epoch": 0.04,
"learning_rate": 0.0001,
"loss": 1.6851,
"step": 450
},
{
"epoch": 0.05,
"learning_rate": 0.0001,
"loss": 1.6193,
"step": 500
},
{
"epoch": 0.05,
"learning_rate": 0.0001,
"loss": 1.6291,
"step": 550
},
{
"epoch": 0.06,
"learning_rate": 0.0001,
"loss": 1.6241,
"step": 600
},
{
"epoch": 0.06,
"learning_rate": 0.0001,
"loss": 1.5997,
"step": 650
},
{
"epoch": 0.07,
"learning_rate": 0.0001,
"loss": 1.5744,
"step": 700
},
{
"epoch": 0.07,
"learning_rate": 0.0001,
"loss": 1.6018,
"step": 750
},
{
"epoch": 0.08,
"learning_rate": 0.0001,
"loss": 1.6006,
"step": 800
},
{
"epoch": 0.08,
"learning_rate": 0.0001,
"loss": 1.5671,
"step": 850
},
{
"epoch": 0.09,
"learning_rate": 0.0001,
"loss": 1.5721,
"step": 900
},
{
"epoch": 0.09,
"learning_rate": 0.0001,
"loss": 1.5573,
"step": 950
},
{
"epoch": 0.1,
"learning_rate": 0.0001,
"loss": 1.5539,
"step": 1000
},
{
"epoch": 0.1,
"learning_rate": 0.0001,
"loss": 1.542,
"step": 1050
},
{
"epoch": 0.11,
"learning_rate": 0.0001,
"loss": 1.5165,
"step": 1100
},
{
"epoch": 0.11,
"learning_rate": 0.0001,
"loss": 1.5797,
"step": 1150
},
{
"epoch": 0.12,
"learning_rate": 0.0001,
"loss": 1.5609,
"step": 1200
},
{
"epoch": 0.12,
"learning_rate": 0.0001,
"loss": 1.5435,
"step": 1250
},
{
"epoch": 0.13,
"learning_rate": 0.0001,
"loss": 1.5645,
"step": 1300
},
{
"epoch": 0.13,
"learning_rate": 0.0001,
"loss": 1.5258,
"step": 1350
},
{
"epoch": 0.14,
"learning_rate": 0.0001,
"loss": 1.4773,
"step": 1400
},
{
"epoch": 0.14,
"learning_rate": 0.0001,
"loss": 1.4825,
"step": 1450
},
{
"epoch": 0.15,
"learning_rate": 0.0001,
"loss": 1.5124,
"step": 1500
},
{
"epoch": 0.15,
"learning_rate": 0.0001,
"loss": 1.4963,
"step": 1550
},
{
"epoch": 0.16,
"learning_rate": 0.0001,
"loss": 1.4861,
"step": 1600
},
{
"epoch": 0.16,
"learning_rate": 0.0001,
"loss": 1.5275,
"step": 1650
},
{
"epoch": 0.17,
"learning_rate": 0.0001,
"loss": 1.484,
"step": 1700
},
{
"epoch": 0.17,
"learning_rate": 0.0001,
"loss": 1.5349,
"step": 1750
},
{
"epoch": 0.18,
"learning_rate": 0.0001,
"loss": 1.4641,
"step": 1800
},
{
"epoch": 0.18,
"learning_rate": 0.0001,
"loss": 1.4752,
"step": 1850
},
{
"epoch": 0.19,
"learning_rate": 0.0001,
"loss": 1.4475,
"step": 1900
},
{
"epoch": 0.19,
"learning_rate": 0.0001,
"loss": 1.5358,
"step": 1950
},
{
"epoch": 0.2,
"learning_rate": 0.0001,
"loss": 1.4652,
"step": 2000
},
{
"epoch": 0.2,
"learning_rate": 0.0001,
"loss": 1.419,
"step": 2050
},
{
"epoch": 0.21,
"learning_rate": 0.0001,
"loss": 1.4588,
"step": 2100
},
{
"epoch": 0.21,
"learning_rate": 0.0001,
"loss": 1.4593,
"step": 2150
},
{
"epoch": 0.21,
"learning_rate": 0.0001,
"loss": 1.4604,
"step": 2200
},
{
"epoch": 0.22,
"learning_rate": 0.0001,
"loss": 1.4598,
"step": 2250
},
{
"epoch": 0.22,
"learning_rate": 0.0001,
"loss": 1.482,
"step": 2300
},
{
"epoch": 0.23,
"learning_rate": 0.0001,
"loss": 1.4749,
"step": 2350
},
{
"epoch": 0.23,
"learning_rate": 0.0001,
"loss": 1.4718,
"step": 2400
},
{
"epoch": 0.24,
"learning_rate": 0.0001,
"loss": 1.4343,
"step": 2450
},
{
"epoch": 0.24,
"learning_rate": 0.0001,
"loss": 1.4861,
"step": 2500
},
{
"epoch": 0.25,
"learning_rate": 0.0001,
"loss": 1.4717,
"step": 2550
},
{
"epoch": 0.25,
"learning_rate": 0.0001,
"loss": 1.4599,
"step": 2600
},
{
"epoch": 0.26,
"learning_rate": 0.0001,
"loss": 1.4746,
"step": 2650
},
{
"epoch": 0.26,
"learning_rate": 0.0001,
"loss": 1.4517,
"step": 2700
},
{
"epoch": 0.27,
"learning_rate": 0.0001,
"loss": 1.4267,
"step": 2750
},
{
"epoch": 0.27,
"learning_rate": 0.0001,
"loss": 1.4303,
"step": 2800
},
{
"epoch": 0.28,
"learning_rate": 0.0001,
"loss": 1.4146,
"step": 2850
},
{
"epoch": 0.28,
"learning_rate": 0.0001,
"loss": 1.4245,
"step": 2900
},
{
"epoch": 0.29,
"learning_rate": 0.0001,
"loss": 1.4356,
"step": 2950
},
{
"epoch": 0.29,
"learning_rate": 0.0001,
"loss": 1.4183,
"step": 3000
},
{
"epoch": 0.3,
"learning_rate": 0.0001,
"loss": 1.423,
"step": 3050
},
{
"epoch": 0.3,
"learning_rate": 0.0001,
"loss": 1.4854,
"step": 3100
},
{
"epoch": 0.31,
"learning_rate": 0.0001,
"loss": 1.4552,
"step": 3150
},
{
"epoch": 0.31,
"learning_rate": 0.0001,
"loss": 1.456,
"step": 3200
},
{
"epoch": 0.32,
"learning_rate": 0.0001,
"loss": 1.4202,
"step": 3250
},
{
"epoch": 0.32,
"learning_rate": 0.0001,
"loss": 1.4025,
"step": 3300
},
{
"epoch": 0.33,
"learning_rate": 0.0001,
"loss": 1.4134,
"step": 3350
},
{
"epoch": 0.33,
"learning_rate": 0.0001,
"loss": 1.4282,
"step": 3400
},
{
"epoch": 0.34,
"learning_rate": 0.0001,
"loss": 1.4256,
"step": 3450
},
{
"epoch": 0.34,
"learning_rate": 0.0001,
"loss": 1.4056,
"step": 3500
},
{
"epoch": 0.35,
"learning_rate": 0.0001,
"loss": 1.3779,
"step": 3550
},
{
"epoch": 0.35,
"learning_rate": 0.0001,
"loss": 1.3857,
"step": 3600
}
],
"max_steps": 20478,
"num_train_epochs": 2,
"total_flos": 5.4220124910336e+16,
"trial_name": null,
"trial_params": null
}