divination / trainer_state.json
Vincent Huang
init
0747df2
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 135.59322033898306,
"global_step": 500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 2.71,
"learning_rate": 0.0196,
"loss": 4.115,
"step": 10
},
{
"epoch": 5.42,
"learning_rate": 0.0192,
"loss": 4.0422,
"step": 20
},
{
"epoch": 8.14,
"learning_rate": 0.0188,
"loss": 3.7797,
"step": 30
},
{
"epoch": 10.85,
"learning_rate": 0.0184,
"loss": 3.204,
"step": 40
},
{
"epoch": 13.56,
"learning_rate": 0.018000000000000002,
"loss": 2.7285,
"step": 50
},
{
"epoch": 16.27,
"learning_rate": 0.0176,
"loss": 2.1524,
"step": 60
},
{
"epoch": 18.98,
"learning_rate": 0.0172,
"loss": 1.6875,
"step": 70
},
{
"epoch": 21.69,
"learning_rate": 0.0168,
"loss": 1.2613,
"step": 80
},
{
"epoch": 24.41,
"learning_rate": 0.016399999999999998,
"loss": 0.9464,
"step": 90
},
{
"epoch": 27.12,
"learning_rate": 0.016,
"loss": 0.734,
"step": 100
},
{
"epoch": 29.83,
"learning_rate": 0.015600000000000001,
"loss": 0.5502,
"step": 110
},
{
"epoch": 32.54,
"learning_rate": 0.0152,
"loss": 0.4353,
"step": 120
},
{
"epoch": 35.25,
"learning_rate": 0.0148,
"loss": 0.3286,
"step": 130
},
{
"epoch": 37.97,
"learning_rate": 0.0144,
"loss": 0.2814,
"step": 140
},
{
"epoch": 40.68,
"learning_rate": 0.013999999999999999,
"loss": 0.2337,
"step": 150
},
{
"epoch": 43.39,
"learning_rate": 0.013600000000000001,
"loss": 0.1949,
"step": 160
},
{
"epoch": 46.1,
"learning_rate": 0.013200000000000002,
"loss": 0.1482,
"step": 170
},
{
"epoch": 48.81,
"learning_rate": 0.0128,
"loss": 0.136,
"step": 180
},
{
"epoch": 51.53,
"learning_rate": 0.0124,
"loss": 0.1175,
"step": 190
},
{
"epoch": 54.24,
"learning_rate": 0.012,
"loss": 0.0995,
"step": 200
},
{
"epoch": 56.95,
"learning_rate": 0.0116,
"loss": 0.0841,
"step": 210
},
{
"epoch": 59.66,
"learning_rate": 0.011200000000000002,
"loss": 0.07,
"step": 220
},
{
"epoch": 62.37,
"learning_rate": 0.0108,
"loss": 0.0672,
"step": 230
},
{
"epoch": 65.08,
"learning_rate": 0.010400000000000001,
"loss": 0.058,
"step": 240
},
{
"epoch": 67.8,
"learning_rate": 0.01,
"loss": 0.0546,
"step": 250
},
{
"epoch": 70.51,
"learning_rate": 0.0096,
"loss": 0.0503,
"step": 260
},
{
"epoch": 73.22,
"learning_rate": 0.0092,
"loss": 0.0471,
"step": 270
},
{
"epoch": 75.93,
"learning_rate": 0.0088,
"loss": 0.0422,
"step": 280
},
{
"epoch": 78.64,
"learning_rate": 0.0084,
"loss": 0.0352,
"step": 290
},
{
"epoch": 81.36,
"learning_rate": 0.008,
"loss": 0.0374,
"step": 300
},
{
"epoch": 84.07,
"learning_rate": 0.0076,
"loss": 0.033,
"step": 310
},
{
"epoch": 86.78,
"learning_rate": 0.0072,
"loss": 0.0332,
"step": 320
},
{
"epoch": 89.49,
"learning_rate": 0.0068000000000000005,
"loss": 0.0292,
"step": 330
},
{
"epoch": 92.2,
"learning_rate": 0.0064,
"loss": 0.0298,
"step": 340
},
{
"epoch": 94.92,
"learning_rate": 0.006,
"loss": 0.0258,
"step": 350
},
{
"epoch": 97.63,
"learning_rate": 0.005600000000000001,
"loss": 0.0263,
"step": 360
},
{
"epoch": 100.34,
"learning_rate": 0.005200000000000001,
"loss": 0.0252,
"step": 370
},
{
"epoch": 103.05,
"learning_rate": 0.0048,
"loss": 0.0249,
"step": 380
},
{
"epoch": 105.76,
"learning_rate": 0.0044,
"loss": 0.0225,
"step": 390
},
{
"epoch": 108.47,
"learning_rate": 0.004,
"loss": 0.0219,
"step": 400
},
{
"epoch": 111.19,
"learning_rate": 0.0036,
"loss": 0.0224,
"step": 410
},
{
"epoch": 113.9,
"learning_rate": 0.0032,
"loss": 0.0238,
"step": 420
},
{
"epoch": 116.61,
"learning_rate": 0.0028000000000000004,
"loss": 0.0196,
"step": 430
},
{
"epoch": 119.32,
"learning_rate": 0.0024,
"loss": 0.0207,
"step": 440
},
{
"epoch": 122.03,
"learning_rate": 0.002,
"loss": 0.0208,
"step": 450
},
{
"epoch": 124.75,
"learning_rate": 0.0016,
"loss": 0.0204,
"step": 460
},
{
"epoch": 127.46,
"learning_rate": 0.0012,
"loss": 0.0207,
"step": 470
},
{
"epoch": 130.17,
"learning_rate": 0.0008,
"loss": 0.0206,
"step": 480
},
{
"epoch": 132.88,
"learning_rate": 0.0004,
"loss": 0.0203,
"step": 490
},
{
"epoch": 135.59,
"learning_rate": 0.0,
"loss": 0.021,
"step": 500
}
],
"max_steps": 500,
"num_train_epochs": 167,
"total_flos": 6.9331442466816e+16,
"trial_name": null,
"trial_params": null
}