Files
ModelHub XC d181db07e8 初始化项目,由ModelHub XC社区提供模型
Model: fpadovani/tur_indomain_prepretraining_seed21
Source: Original Platform
2026-05-23 01:25:36 +08:00

734 lines
16 KiB
JSON

{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.0653893938403191,
"eval_steps": 500,
"global_step": 500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.000653893938403191,
"grad_norm": 8.4375,
"learning_rate": 1e-05,
"loss": 10.9218,
"step": 5
},
{
"epoch": 0.001307787876806382,
"grad_norm": 8.5,
"learning_rate": 2e-05,
"loss": 10.86,
"step": 10
},
{
"epoch": 0.001961681815209573,
"grad_norm": 5.0625,
"learning_rate": 3e-05,
"loss": 10.6568,
"step": 15
},
{
"epoch": 0.002615575753612764,
"grad_norm": 3.4375,
"learning_rate": 4e-05,
"loss": 10.4622,
"step": 20
},
{
"epoch": 0.003269469692015955,
"grad_norm": 3.0625,
"learning_rate": 5e-05,
"loss": 10.2882,
"step": 25
},
{
"epoch": 0.003923363630419146,
"grad_norm": 3.09375,
"learning_rate": 6e-05,
"loss": 10.2014,
"step": 30
},
{
"epoch": 0.004577257568822337,
"grad_norm": 2.703125,
"learning_rate": 7.000000000000001e-05,
"loss": 10.0942,
"step": 35
},
{
"epoch": 0.005231151507225528,
"grad_norm": 2.984375,
"learning_rate": 8e-05,
"loss": 9.9471,
"step": 40
},
{
"epoch": 0.005885045445628719,
"grad_norm": 2.703125,
"learning_rate": 8.999999999999999e-05,
"loss": 9.7595,
"step": 45
},
{
"epoch": 0.00653893938403191,
"grad_norm": 2.46875,
"learning_rate": 0.0001,
"loss": 9.6038,
"step": 50
},
{
"epoch": 0.007192833322435101,
"grad_norm": 2.53125,
"learning_rate": 0.00011,
"loss": 9.3898,
"step": 55
},
{
"epoch": 0.007846727260838291,
"grad_norm": 2.125,
"learning_rate": 0.00012,
"loss": 9.2079,
"step": 60
},
{
"epoch": 0.008500621199241483,
"grad_norm": 1.8046875,
"learning_rate": 0.00013000000000000002,
"loss": 9.0458,
"step": 65
},
{
"epoch": 0.009154515137644674,
"grad_norm": 1.734375,
"learning_rate": 0.00014000000000000001,
"loss": 8.8588,
"step": 70
},
{
"epoch": 0.009808409076047865,
"grad_norm": 1.34375,
"learning_rate": 0.00015,
"loss": 8.7008,
"step": 75
},
{
"epoch": 0.010462303014451056,
"grad_norm": 1.109375,
"learning_rate": 0.00016,
"loss": 8.5939,
"step": 80
},
{
"epoch": 0.011116196952854247,
"grad_norm": 1.1640625,
"learning_rate": 0.00017,
"loss": 8.5616,
"step": 85
},
{
"epoch": 0.011770090891257438,
"grad_norm": 1.3984375,
"learning_rate": 0.00017999999999999998,
"loss": 8.4525,
"step": 90
},
{
"epoch": 0.01242398482966063,
"grad_norm": 1.109375,
"learning_rate": 0.00019,
"loss": 8.4594,
"step": 95
},
{
"epoch": 0.01307787876806382,
"grad_norm": 1.1640625,
"learning_rate": 0.0002,
"loss": 8.4348,
"step": 100
},
{
"epoch": 0.013731772706467011,
"grad_norm": 1.4375,
"learning_rate": 0.00021,
"loss": 8.4187,
"step": 105
},
{
"epoch": 0.014385666644870202,
"grad_norm": 1.78125,
"learning_rate": 0.00022,
"loss": 8.3887,
"step": 110
},
{
"epoch": 0.015039560583273394,
"grad_norm": 1.375,
"learning_rate": 0.00023,
"loss": 8.3935,
"step": 115
},
{
"epoch": 0.015693454521676583,
"grad_norm": 1.4453125,
"learning_rate": 0.00024,
"loss": 8.3468,
"step": 120
},
{
"epoch": 0.016347348460079774,
"grad_norm": 1.5859375,
"learning_rate": 0.00025,
"loss": 8.3648,
"step": 125
},
{
"epoch": 0.017001242398482965,
"grad_norm": 1.8046875,
"learning_rate": 0.00026000000000000003,
"loss": 8.3006,
"step": 130
},
{
"epoch": 0.017655136336886156,
"grad_norm": 1.421875,
"learning_rate": 0.00027,
"loss": 8.2614,
"step": 135
},
{
"epoch": 0.018309030275289347,
"grad_norm": 1.3828125,
"learning_rate": 0.00028000000000000003,
"loss": 8.25,
"step": 140
},
{
"epoch": 0.01896292421369254,
"grad_norm": 1.90625,
"learning_rate": 0.00029,
"loss": 8.2765,
"step": 145
},
{
"epoch": 0.01961681815209573,
"grad_norm": 1.4296875,
"learning_rate": 0.0003,
"loss": 8.2609,
"step": 150
},
{
"epoch": 0.02027071209049892,
"grad_norm": 1.703125,
"learning_rate": 0.00031,
"loss": 8.1702,
"step": 155
},
{
"epoch": 0.02092460602890211,
"grad_norm": 1.53125,
"learning_rate": 0.00032,
"loss": 8.1875,
"step": 160
},
{
"epoch": 0.021578499967305303,
"grad_norm": 1.5,
"learning_rate": 0.00033,
"loss": 8.1725,
"step": 165
},
{
"epoch": 0.022232393905708494,
"grad_norm": 1.9140625,
"learning_rate": 0.00034,
"loss": 8.1809,
"step": 170
},
{
"epoch": 0.022886287844111685,
"grad_norm": 1.5703125,
"learning_rate": 0.00035,
"loss": 8.1357,
"step": 175
},
{
"epoch": 0.023540181782514876,
"grad_norm": 1.453125,
"learning_rate": 0.00035999999999999997,
"loss": 8.1805,
"step": 180
},
{
"epoch": 0.024194075720918067,
"grad_norm": 1.84375,
"learning_rate": 0.00037,
"loss": 8.0948,
"step": 185
},
{
"epoch": 0.02484796965932126,
"grad_norm": 1.65625,
"learning_rate": 0.00038,
"loss": 8.0769,
"step": 190
},
{
"epoch": 0.02550186359772445,
"grad_norm": 1.4375,
"learning_rate": 0.00039000000000000005,
"loss": 8.0623,
"step": 195
},
{
"epoch": 0.02615575753612764,
"grad_norm": 1.375,
"learning_rate": 0.0004,
"loss": 8.0233,
"step": 200
},
{
"epoch": 0.02680965147453083,
"grad_norm": 1.65625,
"learning_rate": 0.00041,
"loss": 8.0448,
"step": 205
},
{
"epoch": 0.027463545412934023,
"grad_norm": 1.421875,
"learning_rate": 0.00042,
"loss": 7.9827,
"step": 210
},
{
"epoch": 0.028117439351337214,
"grad_norm": 1.8125,
"learning_rate": 0.00043,
"loss": 7.9879,
"step": 215
},
{
"epoch": 0.028771333289740405,
"grad_norm": 1.484375,
"learning_rate": 0.00044,
"loss": 7.9859,
"step": 220
},
{
"epoch": 0.029425227228143596,
"grad_norm": 1.40625,
"learning_rate": 0.00045000000000000004,
"loss": 7.9821,
"step": 225
},
{
"epoch": 0.030079121166546787,
"grad_norm": 1.421875,
"learning_rate": 0.00046,
"loss": 7.9357,
"step": 230
},
{
"epoch": 0.030733015104949978,
"grad_norm": 1.375,
"learning_rate": 0.00047,
"loss": 7.9613,
"step": 235
},
{
"epoch": 0.031386909043353166,
"grad_norm": 1.96875,
"learning_rate": 0.00048,
"loss": 7.8928,
"step": 240
},
{
"epoch": 0.03204080298175636,
"grad_norm": 1.5859375,
"learning_rate": 0.00049,
"loss": 7.9647,
"step": 245
},
{
"epoch": 0.03269469692015955,
"grad_norm": 1.6875,
"learning_rate": 0.0005,
"loss": 7.8866,
"step": 250
},
{
"epoch": 0.03334859085856274,
"grad_norm": 1.5703125,
"learning_rate": 0.00051,
"loss": 7.8719,
"step": 255
},
{
"epoch": 0.03400248479696593,
"grad_norm": 1.4609375,
"learning_rate": 0.0005200000000000001,
"loss": 7.8036,
"step": 260
},
{
"epoch": 0.03465637873536912,
"grad_norm": 1.53125,
"learning_rate": 0.0005300000000000001,
"loss": 7.8523,
"step": 265
},
{
"epoch": 0.03531027267377231,
"grad_norm": 1.46875,
"learning_rate": 0.00054,
"loss": 7.8359,
"step": 270
},
{
"epoch": 0.035964166612175504,
"grad_norm": 1.65625,
"learning_rate": 0.00055,
"loss": 7.8399,
"step": 275
},
{
"epoch": 0.036618060550578695,
"grad_norm": 1.65625,
"learning_rate": 0.0005600000000000001,
"loss": 7.8428,
"step": 280
},
{
"epoch": 0.037271954488981886,
"grad_norm": 1.7421875,
"learning_rate": 0.00057,
"loss": 7.7551,
"step": 285
},
{
"epoch": 0.03792584842738508,
"grad_norm": 1.4765625,
"learning_rate": 0.00058,
"loss": 7.7357,
"step": 290
},
{
"epoch": 0.03857974236578827,
"grad_norm": 1.375,
"learning_rate": 0.00059,
"loss": 7.7327,
"step": 295
},
{
"epoch": 0.03923363630419146,
"grad_norm": 1.5859375,
"learning_rate": 0.0006,
"loss": 7.6911,
"step": 300
},
{
"epoch": 0.03988753024259465,
"grad_norm": 1.3359375,
"learning_rate": 0.00061,
"loss": 7.6854,
"step": 305
},
{
"epoch": 0.04054142418099784,
"grad_norm": 1.4921875,
"learning_rate": 0.00062,
"loss": 7.7088,
"step": 310
},
{
"epoch": 0.04119531811940103,
"grad_norm": 1.59375,
"learning_rate": 0.00063,
"loss": 7.6666,
"step": 315
},
{
"epoch": 0.04184921205780422,
"grad_norm": 1.4921875,
"learning_rate": 0.00064,
"loss": 7.6758,
"step": 320
},
{
"epoch": 0.042503105996207415,
"grad_norm": 1.46875,
"learning_rate": 0.0006500000000000001,
"loss": 7.6554,
"step": 325
},
{
"epoch": 0.043156999934610606,
"grad_norm": 1.6328125,
"learning_rate": 0.00066,
"loss": 7.6471,
"step": 330
},
{
"epoch": 0.0438108938730138,
"grad_norm": 1.546875,
"learning_rate": 0.00067,
"loss": 7.612,
"step": 335
},
{
"epoch": 0.04446478781141699,
"grad_norm": 1.546875,
"learning_rate": 0.00068,
"loss": 7.6353,
"step": 340
},
{
"epoch": 0.04511868174982018,
"grad_norm": 1.5859375,
"learning_rate": 0.00069,
"loss": 7.6068,
"step": 345
},
{
"epoch": 0.04577257568822337,
"grad_norm": 1.640625,
"learning_rate": 0.0007,
"loss": 7.6507,
"step": 350
},
{
"epoch": 0.04642646962662656,
"grad_norm": 1.6328125,
"learning_rate": 0.00071,
"loss": 7.5806,
"step": 355
},
{
"epoch": 0.04708036356502975,
"grad_norm": 1.6328125,
"learning_rate": 0.0007199999999999999,
"loss": 7.5964,
"step": 360
},
{
"epoch": 0.04773425750343294,
"grad_norm": 1.484375,
"learning_rate": 0.00073,
"loss": 7.5817,
"step": 365
},
{
"epoch": 0.048388151441836134,
"grad_norm": 1.4375,
"learning_rate": 0.00074,
"loss": 7.5673,
"step": 370
},
{
"epoch": 0.049042045380239326,
"grad_norm": 1.6015625,
"learning_rate": 0.00075,
"loss": 7.5662,
"step": 375
},
{
"epoch": 0.04969593931864252,
"grad_norm": 1.5234375,
"learning_rate": 0.00076,
"loss": 7.5739,
"step": 380
},
{
"epoch": 0.05034983325704571,
"grad_norm": 1.6328125,
"learning_rate": 0.0007700000000000001,
"loss": 7.5809,
"step": 385
},
{
"epoch": 0.0510037271954489,
"grad_norm": 1.6328125,
"learning_rate": 0.0007800000000000001,
"loss": 7.584,
"step": 390
},
{
"epoch": 0.05165762113385209,
"grad_norm": 1.8671875,
"learning_rate": 0.00079,
"loss": 7.4952,
"step": 395
},
{
"epoch": 0.05231151507225528,
"grad_norm": 1.6328125,
"learning_rate": 0.0008,
"loss": 7.5619,
"step": 400
},
{
"epoch": 0.05296540901065847,
"grad_norm": 1.4609375,
"learning_rate": 0.0008100000000000001,
"loss": 7.5143,
"step": 405
},
{
"epoch": 0.05361930294906166,
"grad_norm": 1.59375,
"learning_rate": 0.00082,
"loss": 7.429,
"step": 410
},
{
"epoch": 0.054273196887464854,
"grad_norm": 1.5625,
"learning_rate": 0.00083,
"loss": 7.5304,
"step": 415
},
{
"epoch": 0.054927090825868045,
"grad_norm": 1.515625,
"learning_rate": 0.00084,
"loss": 7.4544,
"step": 420
},
{
"epoch": 0.055580984764271237,
"grad_norm": 1.5546875,
"learning_rate": 0.00085,
"loss": 7.4307,
"step": 425
},
{
"epoch": 0.05623487870267443,
"grad_norm": 1.5078125,
"learning_rate": 0.00086,
"loss": 7.4134,
"step": 430
},
{
"epoch": 0.05688877264107762,
"grad_norm": 1.4765625,
"learning_rate": 0.00087,
"loss": 7.5005,
"step": 435
},
{
"epoch": 0.05754266657948081,
"grad_norm": 1.421875,
"learning_rate": 0.00088,
"loss": 7.4401,
"step": 440
},
{
"epoch": 0.058196560517884,
"grad_norm": 1.671875,
"learning_rate": 0.0008900000000000001,
"loss": 7.4792,
"step": 445
},
{
"epoch": 0.05885045445628719,
"grad_norm": 1.5,
"learning_rate": 0.0009000000000000001,
"loss": 7.405,
"step": 450
},
{
"epoch": 0.05950434839469038,
"grad_norm": 1.5625,
"learning_rate": 0.00091,
"loss": 7.4043,
"step": 455
},
{
"epoch": 0.060158242333093574,
"grad_norm": 1.5,
"learning_rate": 0.00092,
"loss": 7.4356,
"step": 460
},
{
"epoch": 0.060812136271496765,
"grad_norm": 1.4453125,
"learning_rate": 0.00093,
"loss": 7.2855,
"step": 465
},
{
"epoch": 0.061466030209899956,
"grad_norm": 1.6015625,
"learning_rate": 0.00094,
"loss": 7.3614,
"step": 470
},
{
"epoch": 0.06211992414830315,
"grad_norm": 1.6171875,
"learning_rate": 0.00095,
"loss": 7.4136,
"step": 475
},
{
"epoch": 0.06277381808670633,
"grad_norm": 1.5546875,
"learning_rate": 0.00096,
"loss": 7.3571,
"step": 480
},
{
"epoch": 0.06342771202510952,
"grad_norm": 1.6015625,
"learning_rate": 0.0009699999999999999,
"loss": 7.3855,
"step": 485
},
{
"epoch": 0.06408160596351271,
"grad_norm": 1.6875,
"learning_rate": 0.00098,
"loss": 7.5011,
"step": 490
},
{
"epoch": 0.0647354999019159,
"grad_norm": 1.578125,
"learning_rate": 0.00099,
"loss": 7.3837,
"step": 495
},
{
"epoch": 0.0653893938403191,
"grad_norm": 1.5859375,
"learning_rate": 0.001,
"loss": 7.2856,
"step": 500
}
],
"logging_steps": 5,
"max_steps": 4000,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 675529741762560.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}