Harpia-7b-guanacoLora / trainer_state.json
Bruno's picture
Harpia commit
6556106
raw
history blame
5.6 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.7359781121751023,
"global_step": 500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 1.2598,
"step": 10
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 1.2292,
"step": 20
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 1.1966,
"step": 30
},
{
"epoch": 0.22,
"learning_rate": 0.0002,
"loss": 1.2014,
"step": 40
},
{
"epoch": 0.27,
"learning_rate": 0.0002,
"loss": 1.1835,
"step": 50
},
{
"epoch": 0.33,
"learning_rate": 0.0002,
"loss": 1.2463,
"step": 60
},
{
"epoch": 0.38,
"learning_rate": 0.0002,
"loss": 1.2303,
"step": 70
},
{
"epoch": 0.44,
"learning_rate": 0.0002,
"loss": 1.1892,
"step": 80
},
{
"epoch": 0.49,
"learning_rate": 0.0002,
"loss": 1.1961,
"step": 90
},
{
"epoch": 0.55,
"learning_rate": 0.0002,
"loss": 1.1219,
"step": 100
},
{
"epoch": 0.6,
"learning_rate": 0.0002,
"loss": 1.1738,
"step": 110
},
{
"epoch": 0.66,
"learning_rate": 0.0002,
"loss": 1.1226,
"step": 120
},
{
"epoch": 0.71,
"learning_rate": 0.0002,
"loss": 1.1246,
"step": 130
},
{
"epoch": 0.77,
"learning_rate": 0.0002,
"loss": 1.1479,
"step": 140
},
{
"epoch": 0.82,
"learning_rate": 0.0002,
"loss": 1.2111,
"step": 150
},
{
"epoch": 0.88,
"learning_rate": 0.0002,
"loss": 1.1836,
"step": 160
},
{
"epoch": 0.93,
"learning_rate": 0.0002,
"loss": 1.1366,
"step": 170
},
{
"epoch": 0.98,
"learning_rate": 0.0002,
"loss": 1.1682,
"step": 180
},
{
"epoch": 1.04,
"learning_rate": 0.0002,
"loss": 1.1431,
"step": 190
},
{
"epoch": 1.09,
"learning_rate": 0.0002,
"loss": 1.1472,
"step": 200
},
{
"epoch": 1.15,
"learning_rate": 0.0002,
"loss": 1.0244,
"step": 210
},
{
"epoch": 1.2,
"learning_rate": 0.0002,
"loss": 1.1281,
"step": 220
},
{
"epoch": 1.26,
"learning_rate": 0.0002,
"loss": 1.0264,
"step": 230
},
{
"epoch": 1.31,
"learning_rate": 0.0002,
"loss": 1.1049,
"step": 240
},
{
"epoch": 1.37,
"learning_rate": 0.0002,
"loss": 1.1054,
"step": 250
},
{
"epoch": 1.42,
"learning_rate": 0.0002,
"loss": 1.0381,
"step": 260
},
{
"epoch": 1.48,
"learning_rate": 0.0002,
"loss": 1.0953,
"step": 270
},
{
"epoch": 1.53,
"learning_rate": 0.0002,
"loss": 1.1273,
"step": 280
},
{
"epoch": 1.59,
"learning_rate": 0.0002,
"loss": 1.0747,
"step": 290
},
{
"epoch": 1.64,
"learning_rate": 0.0002,
"loss": 1.1288,
"step": 300
},
{
"epoch": 1.7,
"learning_rate": 0.0002,
"loss": 1.0656,
"step": 310
},
{
"epoch": 1.75,
"learning_rate": 0.0002,
"loss": 1.1188,
"step": 320
},
{
"epoch": 1.81,
"learning_rate": 0.0002,
"loss": 1.0525,
"step": 330
},
{
"epoch": 1.86,
"learning_rate": 0.0002,
"loss": 1.057,
"step": 340
},
{
"epoch": 1.92,
"learning_rate": 0.0002,
"loss": 1.1001,
"step": 350
},
{
"epoch": 1.97,
"learning_rate": 0.0002,
"loss": 1.1505,
"step": 360
},
{
"epoch": 2.02,
"learning_rate": 0.0002,
"loss": 1.0715,
"step": 370
},
{
"epoch": 2.08,
"learning_rate": 0.0002,
"loss": 0.9598,
"step": 380
},
{
"epoch": 2.13,
"learning_rate": 0.0002,
"loss": 0.986,
"step": 390
},
{
"epoch": 2.19,
"learning_rate": 0.0002,
"loss": 0.991,
"step": 400
},
{
"epoch": 2.24,
"learning_rate": 0.0002,
"loss": 0.9805,
"step": 410
},
{
"epoch": 2.3,
"learning_rate": 0.0002,
"loss": 0.9839,
"step": 420
},
{
"epoch": 2.35,
"learning_rate": 0.0002,
"loss": 0.9978,
"step": 430
},
{
"epoch": 2.41,
"learning_rate": 0.0002,
"loss": 0.9476,
"step": 440
},
{
"epoch": 2.46,
"learning_rate": 0.0002,
"loss": 0.9543,
"step": 450
},
{
"epoch": 2.52,
"learning_rate": 0.0002,
"loss": 0.9569,
"step": 460
},
{
"epoch": 2.57,
"learning_rate": 0.0002,
"loss": 1.002,
"step": 470
},
{
"epoch": 2.63,
"learning_rate": 0.0002,
"loss": 1.012,
"step": 480
},
{
"epoch": 2.68,
"learning_rate": 0.0002,
"loss": 1.0095,
"step": 490
},
{
"epoch": 2.74,
"learning_rate": 0.0002,
"loss": 0.9938,
"step": 500
}
],
"max_steps": 500,
"num_train_epochs": 3,
"total_flos": 8.459308833806746e+16,
"trial_name": null,
"trial_params": null
}