gsmyrnis's picture
End of training
5a47469 verified
raw
history blame
19.9 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 3.0,
"eval_steps": 500,
"global_step": 1170,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02564102564102564,
"grad_norm": 3.406068801879883,
"learning_rate": 5e-06,
"loss": 0.9168,
"step": 10
},
{
"epoch": 0.05128205128205128,
"grad_norm": 3.5034339427948,
"learning_rate": 5e-06,
"loss": 0.7688,
"step": 20
},
{
"epoch": 0.07692307692307693,
"grad_norm": 1.0085859298706055,
"learning_rate": 5e-06,
"loss": 0.729,
"step": 30
},
{
"epoch": 0.10256410256410256,
"grad_norm": 0.8697875142097473,
"learning_rate": 5e-06,
"loss": 0.7004,
"step": 40
},
{
"epoch": 0.1282051282051282,
"grad_norm": 0.9098314642906189,
"learning_rate": 5e-06,
"loss": 0.6853,
"step": 50
},
{
"epoch": 0.15384615384615385,
"grad_norm": 1.240673542022705,
"learning_rate": 5e-06,
"loss": 0.6668,
"step": 60
},
{
"epoch": 0.1794871794871795,
"grad_norm": 1.3245731592178345,
"learning_rate": 5e-06,
"loss": 0.654,
"step": 70
},
{
"epoch": 0.20512820512820512,
"grad_norm": 0.6942853331565857,
"learning_rate": 5e-06,
"loss": 0.6427,
"step": 80
},
{
"epoch": 0.23076923076923078,
"grad_norm": 0.7867761254310608,
"learning_rate": 5e-06,
"loss": 0.6425,
"step": 90
},
{
"epoch": 0.2564102564102564,
"grad_norm": 0.7657337784767151,
"learning_rate": 5e-06,
"loss": 0.6305,
"step": 100
},
{
"epoch": 0.28205128205128205,
"grad_norm": 0.8531173467636108,
"learning_rate": 5e-06,
"loss": 0.6308,
"step": 110
},
{
"epoch": 0.3076923076923077,
"grad_norm": 0.6474210023880005,
"learning_rate": 5e-06,
"loss": 0.6227,
"step": 120
},
{
"epoch": 0.3333333333333333,
"grad_norm": 0.6232497692108154,
"learning_rate": 5e-06,
"loss": 0.6293,
"step": 130
},
{
"epoch": 0.358974358974359,
"grad_norm": 0.6542862057685852,
"learning_rate": 5e-06,
"loss": 0.6217,
"step": 140
},
{
"epoch": 0.38461538461538464,
"grad_norm": 0.9984610080718994,
"learning_rate": 5e-06,
"loss": 0.6213,
"step": 150
},
{
"epoch": 0.41025641025641024,
"grad_norm": 0.7436656355857849,
"learning_rate": 5e-06,
"loss": 0.614,
"step": 160
},
{
"epoch": 0.4358974358974359,
"grad_norm": 0.7107124328613281,
"learning_rate": 5e-06,
"loss": 0.6057,
"step": 170
},
{
"epoch": 0.46153846153846156,
"grad_norm": 0.8069647550582886,
"learning_rate": 5e-06,
"loss": 0.6134,
"step": 180
},
{
"epoch": 0.48717948717948717,
"grad_norm": 0.5554560422897339,
"learning_rate": 5e-06,
"loss": 0.6069,
"step": 190
},
{
"epoch": 0.5128205128205128,
"grad_norm": 0.5725631713867188,
"learning_rate": 5e-06,
"loss": 0.6081,
"step": 200
},
{
"epoch": 0.5384615384615384,
"grad_norm": 0.7718241214752197,
"learning_rate": 5e-06,
"loss": 0.6003,
"step": 210
},
{
"epoch": 0.5641025641025641,
"grad_norm": 0.659430742263794,
"learning_rate": 5e-06,
"loss": 0.6044,
"step": 220
},
{
"epoch": 0.5897435897435898,
"grad_norm": 0.5641574859619141,
"learning_rate": 5e-06,
"loss": 0.5988,
"step": 230
},
{
"epoch": 0.6153846153846154,
"grad_norm": 0.613983154296875,
"learning_rate": 5e-06,
"loss": 0.6079,
"step": 240
},
{
"epoch": 0.6410256410256411,
"grad_norm": 0.7252273559570312,
"learning_rate": 5e-06,
"loss": 0.5981,
"step": 250
},
{
"epoch": 0.6666666666666666,
"grad_norm": 0.6930380463600159,
"learning_rate": 5e-06,
"loss": 0.5927,
"step": 260
},
{
"epoch": 0.6923076923076923,
"grad_norm": 0.6013543605804443,
"learning_rate": 5e-06,
"loss": 0.5942,
"step": 270
},
{
"epoch": 0.717948717948718,
"grad_norm": 0.5443430542945862,
"learning_rate": 5e-06,
"loss": 0.594,
"step": 280
},
{
"epoch": 0.7435897435897436,
"grad_norm": 0.6630271077156067,
"learning_rate": 5e-06,
"loss": 0.5926,
"step": 290
},
{
"epoch": 0.7692307692307693,
"grad_norm": 0.6013346314430237,
"learning_rate": 5e-06,
"loss": 0.5874,
"step": 300
},
{
"epoch": 0.7948717948717948,
"grad_norm": 0.5420301556587219,
"learning_rate": 5e-06,
"loss": 0.5913,
"step": 310
},
{
"epoch": 0.8205128205128205,
"grad_norm": 0.809611976146698,
"learning_rate": 5e-06,
"loss": 0.5917,
"step": 320
},
{
"epoch": 0.8461538461538461,
"grad_norm": 0.7773135304450989,
"learning_rate": 5e-06,
"loss": 0.5836,
"step": 330
},
{
"epoch": 0.8717948717948718,
"grad_norm": 0.5458276271820068,
"learning_rate": 5e-06,
"loss": 0.5794,
"step": 340
},
{
"epoch": 0.8974358974358975,
"grad_norm": 0.6851891875267029,
"learning_rate": 5e-06,
"loss": 0.5902,
"step": 350
},
{
"epoch": 0.9230769230769231,
"grad_norm": 0.5757733583450317,
"learning_rate": 5e-06,
"loss": 0.5826,
"step": 360
},
{
"epoch": 0.9487179487179487,
"grad_norm": 0.5545377135276794,
"learning_rate": 5e-06,
"loss": 0.5887,
"step": 370
},
{
"epoch": 0.9743589743589743,
"grad_norm": 0.5440164804458618,
"learning_rate": 5e-06,
"loss": 0.584,
"step": 380
},
{
"epoch": 1.0,
"grad_norm": 0.5356547236442566,
"learning_rate": 5e-06,
"loss": 0.5779,
"step": 390
},
{
"epoch": 1.0,
"eval_loss": 0.5792508721351624,
"eval_runtime": 37.2797,
"eval_samples_per_second": 281.762,
"eval_steps_per_second": 1.127,
"step": 390
},
{
"epoch": 1.0256410256410255,
"grad_norm": 0.6288334131240845,
"learning_rate": 5e-06,
"loss": 0.5453,
"step": 400
},
{
"epoch": 1.0512820512820513,
"grad_norm": 0.6558266282081604,
"learning_rate": 5e-06,
"loss": 0.5475,
"step": 410
},
{
"epoch": 1.0769230769230769,
"grad_norm": 0.7556455135345459,
"learning_rate": 5e-06,
"loss": 0.5465,
"step": 420
},
{
"epoch": 1.1025641025641026,
"grad_norm": 0.586370050907135,
"learning_rate": 5e-06,
"loss": 0.5395,
"step": 430
},
{
"epoch": 1.1282051282051282,
"grad_norm": 0.5581791996955872,
"learning_rate": 5e-06,
"loss": 0.5366,
"step": 440
},
{
"epoch": 1.1538461538461537,
"grad_norm": 0.5495139956474304,
"learning_rate": 5e-06,
"loss": 0.5487,
"step": 450
},
{
"epoch": 1.1794871794871795,
"grad_norm": 0.6099910736083984,
"learning_rate": 5e-06,
"loss": 0.5397,
"step": 460
},
{
"epoch": 1.205128205128205,
"grad_norm": 0.5565390586853027,
"learning_rate": 5e-06,
"loss": 0.5376,
"step": 470
},
{
"epoch": 1.2307692307692308,
"grad_norm": 0.6461251378059387,
"learning_rate": 5e-06,
"loss": 0.534,
"step": 480
},
{
"epoch": 1.2564102564102564,
"grad_norm": 0.6213774681091309,
"learning_rate": 5e-06,
"loss": 0.5366,
"step": 490
},
{
"epoch": 1.282051282051282,
"grad_norm": 0.5515546798706055,
"learning_rate": 5e-06,
"loss": 0.5381,
"step": 500
},
{
"epoch": 1.3076923076923077,
"grad_norm": 0.6342268586158752,
"learning_rate": 5e-06,
"loss": 0.536,
"step": 510
},
{
"epoch": 1.3333333333333333,
"grad_norm": 0.5595047473907471,
"learning_rate": 5e-06,
"loss": 0.5396,
"step": 520
},
{
"epoch": 1.358974358974359,
"grad_norm": 0.5788885951042175,
"learning_rate": 5e-06,
"loss": 0.5371,
"step": 530
},
{
"epoch": 1.3846153846153846,
"grad_norm": 0.5231652855873108,
"learning_rate": 5e-06,
"loss": 0.5357,
"step": 540
},
{
"epoch": 1.4102564102564101,
"grad_norm": 0.7670683860778809,
"learning_rate": 5e-06,
"loss": 0.5376,
"step": 550
},
{
"epoch": 1.435897435897436,
"grad_norm": 0.5181464552879333,
"learning_rate": 5e-06,
"loss": 0.5321,
"step": 560
},
{
"epoch": 1.4615384615384617,
"grad_norm": 0.5286003351211548,
"learning_rate": 5e-06,
"loss": 0.5361,
"step": 570
},
{
"epoch": 1.4871794871794872,
"grad_norm": 0.5364812016487122,
"learning_rate": 5e-06,
"loss": 0.5391,
"step": 580
},
{
"epoch": 1.5128205128205128,
"grad_norm": 0.6188532710075378,
"learning_rate": 5e-06,
"loss": 0.5336,
"step": 590
},
{
"epoch": 1.5384615384615383,
"grad_norm": 0.4892689883708954,
"learning_rate": 5e-06,
"loss": 0.5352,
"step": 600
},
{
"epoch": 1.564102564102564,
"grad_norm": 0.5404101014137268,
"learning_rate": 5e-06,
"loss": 0.5321,
"step": 610
},
{
"epoch": 1.5897435897435899,
"grad_norm": 0.5570105314254761,
"learning_rate": 5e-06,
"loss": 0.5341,
"step": 620
},
{
"epoch": 1.6153846153846154,
"grad_norm": 0.6178380846977234,
"learning_rate": 5e-06,
"loss": 0.5321,
"step": 630
},
{
"epoch": 1.641025641025641,
"grad_norm": 0.8673184514045715,
"learning_rate": 5e-06,
"loss": 0.5216,
"step": 640
},
{
"epoch": 1.6666666666666665,
"grad_norm": 0.6193057298660278,
"learning_rate": 5e-06,
"loss": 0.5312,
"step": 650
},
{
"epoch": 1.6923076923076923,
"grad_norm": 0.5737960934638977,
"learning_rate": 5e-06,
"loss": 0.5317,
"step": 660
},
{
"epoch": 1.717948717948718,
"grad_norm": 0.6953139305114746,
"learning_rate": 5e-06,
"loss": 0.5297,
"step": 670
},
{
"epoch": 1.7435897435897436,
"grad_norm": 0.5698896050453186,
"learning_rate": 5e-06,
"loss": 0.5248,
"step": 680
},
{
"epoch": 1.7692307692307692,
"grad_norm": 0.4578630328178406,
"learning_rate": 5e-06,
"loss": 0.5251,
"step": 690
},
{
"epoch": 1.7948717948717947,
"grad_norm": 0.4654785692691803,
"learning_rate": 5e-06,
"loss": 0.5308,
"step": 700
},
{
"epoch": 1.8205128205128205,
"grad_norm": 0.500807523727417,
"learning_rate": 5e-06,
"loss": 0.5259,
"step": 710
},
{
"epoch": 1.8461538461538463,
"grad_norm": 0.5273367762565613,
"learning_rate": 5e-06,
"loss": 0.5286,
"step": 720
},
{
"epoch": 1.8717948717948718,
"grad_norm": 0.49950945377349854,
"learning_rate": 5e-06,
"loss": 0.5292,
"step": 730
},
{
"epoch": 1.8974358974358974,
"grad_norm": 0.46231916546821594,
"learning_rate": 5e-06,
"loss": 0.5243,
"step": 740
},
{
"epoch": 1.9230769230769231,
"grad_norm": 0.5422210693359375,
"learning_rate": 5e-06,
"loss": 0.5241,
"step": 750
},
{
"epoch": 1.9487179487179487,
"grad_norm": 0.569016695022583,
"learning_rate": 5e-06,
"loss": 0.5237,
"step": 760
},
{
"epoch": 1.9743589743589745,
"grad_norm": 0.5401661396026611,
"learning_rate": 5e-06,
"loss": 0.5289,
"step": 770
},
{
"epoch": 2.0,
"grad_norm": 0.6024136543273926,
"learning_rate": 5e-06,
"loss": 0.5262,
"step": 780
},
{
"epoch": 2.0,
"eval_loss": 0.5533561706542969,
"eval_runtime": 36.5672,
"eval_samples_per_second": 287.252,
"eval_steps_per_second": 1.149,
"step": 780
},
{
"epoch": 2.0256410256410255,
"grad_norm": 0.5916836857795715,
"learning_rate": 5e-06,
"loss": 0.4847,
"step": 790
},
{
"epoch": 2.051282051282051,
"grad_norm": 0.6934983730316162,
"learning_rate": 5e-06,
"loss": 0.4906,
"step": 800
},
{
"epoch": 2.076923076923077,
"grad_norm": 0.546357274055481,
"learning_rate": 5e-06,
"loss": 0.4857,
"step": 810
},
{
"epoch": 2.1025641025641026,
"grad_norm": 0.7491461634635925,
"learning_rate": 5e-06,
"loss": 0.4861,
"step": 820
},
{
"epoch": 2.128205128205128,
"grad_norm": 0.5870935320854187,
"learning_rate": 5e-06,
"loss": 0.4847,
"step": 830
},
{
"epoch": 2.1538461538461537,
"grad_norm": 0.6286914348602295,
"learning_rate": 5e-06,
"loss": 0.4895,
"step": 840
},
{
"epoch": 2.1794871794871793,
"grad_norm": 0.515387773513794,
"learning_rate": 5e-06,
"loss": 0.4897,
"step": 850
},
{
"epoch": 2.2051282051282053,
"grad_norm": 0.5456680655479431,
"learning_rate": 5e-06,
"loss": 0.4861,
"step": 860
},
{
"epoch": 2.230769230769231,
"grad_norm": 0.49457597732543945,
"learning_rate": 5e-06,
"loss": 0.484,
"step": 870
},
{
"epoch": 2.2564102564102564,
"grad_norm": 0.5255215167999268,
"learning_rate": 5e-06,
"loss": 0.4936,
"step": 880
},
{
"epoch": 2.282051282051282,
"grad_norm": 0.5122373700141907,
"learning_rate": 5e-06,
"loss": 0.4915,
"step": 890
},
{
"epoch": 2.3076923076923075,
"grad_norm": 0.5085675120353699,
"learning_rate": 5e-06,
"loss": 0.4894,
"step": 900
},
{
"epoch": 2.3333333333333335,
"grad_norm": 0.5925104022026062,
"learning_rate": 5e-06,
"loss": 0.4873,
"step": 910
},
{
"epoch": 2.358974358974359,
"grad_norm": 0.519869327545166,
"learning_rate": 5e-06,
"loss": 0.4882,
"step": 920
},
{
"epoch": 2.3846153846153846,
"grad_norm": 0.550400972366333,
"learning_rate": 5e-06,
"loss": 0.486,
"step": 930
},
{
"epoch": 2.41025641025641,
"grad_norm": 0.6560305953025818,
"learning_rate": 5e-06,
"loss": 0.4963,
"step": 940
},
{
"epoch": 2.435897435897436,
"grad_norm": 0.5110371112823486,
"learning_rate": 5e-06,
"loss": 0.4855,
"step": 950
},
{
"epoch": 2.4615384615384617,
"grad_norm": 0.48929715156555176,
"learning_rate": 5e-06,
"loss": 0.4859,
"step": 960
},
{
"epoch": 2.4871794871794872,
"grad_norm": 0.5958628058433533,
"learning_rate": 5e-06,
"loss": 0.4884,
"step": 970
},
{
"epoch": 2.5128205128205128,
"grad_norm": 0.604121208190918,
"learning_rate": 5e-06,
"loss": 0.4858,
"step": 980
},
{
"epoch": 2.5384615384615383,
"grad_norm": 0.5479825735092163,
"learning_rate": 5e-06,
"loss": 0.4864,
"step": 990
},
{
"epoch": 2.564102564102564,
"grad_norm": 0.5345059633255005,
"learning_rate": 5e-06,
"loss": 0.4859,
"step": 1000
},
{
"epoch": 2.58974358974359,
"grad_norm": 0.519960880279541,
"learning_rate": 5e-06,
"loss": 0.4867,
"step": 1010
},
{
"epoch": 2.6153846153846154,
"grad_norm": 0.5771586298942566,
"learning_rate": 5e-06,
"loss": 0.4921,
"step": 1020
},
{
"epoch": 2.641025641025641,
"grad_norm": 0.5097467303276062,
"learning_rate": 5e-06,
"loss": 0.4898,
"step": 1030
},
{
"epoch": 2.6666666666666665,
"grad_norm": 0.5330426096916199,
"learning_rate": 5e-06,
"loss": 0.487,
"step": 1040
},
{
"epoch": 2.6923076923076925,
"grad_norm": 0.6157095432281494,
"learning_rate": 5e-06,
"loss": 0.4896,
"step": 1050
},
{
"epoch": 2.717948717948718,
"grad_norm": 0.5218502283096313,
"learning_rate": 5e-06,
"loss": 0.4883,
"step": 1060
},
{
"epoch": 2.7435897435897436,
"grad_norm": 0.620424747467041,
"learning_rate": 5e-06,
"loss": 0.4895,
"step": 1070
},
{
"epoch": 2.769230769230769,
"grad_norm": 0.5703057646751404,
"learning_rate": 5e-06,
"loss": 0.4854,
"step": 1080
},
{
"epoch": 2.7948717948717947,
"grad_norm": 0.49105432629585266,
"learning_rate": 5e-06,
"loss": 0.4929,
"step": 1090
},
{
"epoch": 2.8205128205128203,
"grad_norm": 0.5956032872200012,
"learning_rate": 5e-06,
"loss": 0.4847,
"step": 1100
},
{
"epoch": 2.8461538461538463,
"grad_norm": 0.6310620307922363,
"learning_rate": 5e-06,
"loss": 0.4824,
"step": 1110
},
{
"epoch": 2.871794871794872,
"grad_norm": 0.5469298958778381,
"learning_rate": 5e-06,
"loss": 0.4843,
"step": 1120
},
{
"epoch": 2.8974358974358974,
"grad_norm": 0.6324126720428467,
"learning_rate": 5e-06,
"loss": 0.4822,
"step": 1130
},
{
"epoch": 2.9230769230769234,
"grad_norm": 0.5963416695594788,
"learning_rate": 5e-06,
"loss": 0.4856,
"step": 1140
},
{
"epoch": 2.948717948717949,
"grad_norm": 0.5227168202400208,
"learning_rate": 5e-06,
"loss": 0.4888,
"step": 1150
},
{
"epoch": 2.9743589743589745,
"grad_norm": 0.4714514911174774,
"learning_rate": 5e-06,
"loss": 0.4913,
"step": 1160
},
{
"epoch": 3.0,
"grad_norm": 0.5580222010612488,
"learning_rate": 5e-06,
"loss": 0.4851,
"step": 1170
},
{
"epoch": 3.0,
"eval_loss": 0.5471954345703125,
"eval_runtime": 35.7738,
"eval_samples_per_second": 293.622,
"eval_steps_per_second": 1.174,
"step": 1170
},
{
"epoch": 3.0,
"step": 1170,
"total_flos": 5.524377893797154e+19,
"train_loss": 0.5494362928928473,
"train_runtime": 8709.0296,
"train_samples_per_second": 68.748,
"train_steps_per_second": 0.134
}
],
"logging_steps": 10,
"max_steps": 1170,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 5.524377893797154e+19,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}