pkr7098's picture
End of training
c2a329c verified
raw
history blame
No virus
24.7 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 10.0,
"eval_steps": 500,
"global_step": 1300,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.07692307692307693,
"grad_norm": 2.0707900524139404,
"learning_rate": 0.004961538461538462,
"loss": 0.8561,
"step": 10
},
{
"epoch": 0.15384615384615385,
"grad_norm": 0.9913710951805115,
"learning_rate": 0.004923076923076923,
"loss": 0.6755,
"step": 20
},
{
"epoch": 0.23076923076923078,
"grad_norm": 1.5771081447601318,
"learning_rate": 0.004884615384615385,
"loss": 0.4032,
"step": 30
},
{
"epoch": 0.3076923076923077,
"grad_norm": 1.9519121646881104,
"learning_rate": 0.004846153846153846,
"loss": 0.3903,
"step": 40
},
{
"epoch": 0.38461538461538464,
"grad_norm": 2.557398796081543,
"learning_rate": 0.004807692307692308,
"loss": 0.5472,
"step": 50
},
{
"epoch": 0.46153846153846156,
"grad_norm": 2.4644172191619873,
"learning_rate": 0.0047692307692307695,
"loss": 0.3894,
"step": 60
},
{
"epoch": 0.5384615384615384,
"grad_norm": 1.2416399717330933,
"learning_rate": 0.004730769230769231,
"loss": 0.1827,
"step": 70
},
{
"epoch": 0.6153846153846154,
"grad_norm": 0.8515920639038086,
"learning_rate": 0.004692307692307693,
"loss": 0.3148,
"step": 80
},
{
"epoch": 0.6923076923076923,
"grad_norm": 0.227506622672081,
"learning_rate": 0.004653846153846154,
"loss": 0.237,
"step": 90
},
{
"epoch": 0.7692307692307693,
"grad_norm": 2.7295713424682617,
"learning_rate": 0.004615384615384616,
"loss": 0.4501,
"step": 100
},
{
"epoch": 0.8461538461538461,
"grad_norm": 1.2349276542663574,
"learning_rate": 0.0045769230769230765,
"loss": 0.6825,
"step": 110
},
{
"epoch": 0.9230769230769231,
"grad_norm": 3.311713933944702,
"learning_rate": 0.004538461538461539,
"loss": 0.4085,
"step": 120
},
{
"epoch": 1.0,
"grad_norm": 0.20723728835582733,
"learning_rate": 0.0045000000000000005,
"loss": 0.1292,
"step": 130
},
{
"epoch": 1.0,
"eval_runtime": 0.7521,
"eval_samples_per_second": 176.836,
"eval_steps_per_second": 22.603,
"step": 130
},
{
"epoch": 1.0769230769230769,
"grad_norm": 1.5258536338806152,
"learning_rate": 0.004461538461538462,
"loss": 0.3389,
"step": 140
},
{
"epoch": 1.1538461538461537,
"grad_norm": 2.0288751125335693,
"learning_rate": 0.004423076923076923,
"loss": 0.2397,
"step": 150
},
{
"epoch": 1.2307692307692308,
"grad_norm": 0.03801692649722099,
"learning_rate": 0.004384615384615384,
"loss": 0.162,
"step": 160
},
{
"epoch": 1.3076923076923077,
"grad_norm": 0.1472761183977127,
"learning_rate": 0.004346153846153846,
"loss": 0.2687,
"step": 170
},
{
"epoch": 1.3846153846153846,
"grad_norm": 4.054047107696533,
"learning_rate": 0.004307692307692308,
"loss": 0.6044,
"step": 180
},
{
"epoch": 1.4615384615384617,
"grad_norm": 1.6007931232452393,
"learning_rate": 0.004269230769230769,
"loss": 0.6124,
"step": 190
},
{
"epoch": 1.5384615384615383,
"grad_norm": 0.15122832357883453,
"learning_rate": 0.004230769230769231,
"loss": 0.4298,
"step": 200
},
{
"epoch": 1.6153846153846154,
"grad_norm": 1.2161375284194946,
"learning_rate": 0.004192307692307692,
"loss": 0.5844,
"step": 210
},
{
"epoch": 1.6923076923076923,
"grad_norm": 7.478526592254639,
"learning_rate": 0.004153846153846154,
"loss": 1.2806,
"step": 220
},
{
"epoch": 1.7692307692307692,
"grad_norm": 1.2232049703598022,
"learning_rate": 0.004115384615384615,
"loss": 0.9687,
"step": 230
},
{
"epoch": 1.8461538461538463,
"grad_norm": 1.4465281963348389,
"learning_rate": 0.004076923076923077,
"loss": 0.4883,
"step": 240
},
{
"epoch": 1.9230769230769231,
"grad_norm": 3.471082925796509,
"learning_rate": 0.0040384615384615385,
"loss": 0.6709,
"step": 250
},
{
"epoch": 2.0,
"grad_norm": 2.699213981628418,
"learning_rate": 0.004,
"loss": 0.6404,
"step": 260
},
{
"epoch": 2.0,
"eval_runtime": 0.7652,
"eval_samples_per_second": 173.8,
"eval_steps_per_second": 22.215,
"step": 260
},
{
"epoch": 2.076923076923077,
"grad_norm": 1.1869909763336182,
"learning_rate": 0.003961538461538462,
"loss": 0.6565,
"step": 270
},
{
"epoch": 2.1538461538461537,
"grad_norm": 2.2662851810455322,
"learning_rate": 0.003923076923076923,
"loss": 0.3753,
"step": 280
},
{
"epoch": 2.230769230769231,
"grad_norm": 3.587059736251831,
"learning_rate": 0.003884615384615385,
"loss": 0.9706,
"step": 290
},
{
"epoch": 2.3076923076923075,
"grad_norm": 1.530928611755371,
"learning_rate": 0.0038461538461538464,
"loss": 1.2593,
"step": 300
},
{
"epoch": 2.3846153846153846,
"grad_norm": 1.0865129232406616,
"learning_rate": 0.0038076923076923075,
"loss": 0.9166,
"step": 310
},
{
"epoch": 2.4615384615384617,
"grad_norm": 2.3256101608276367,
"learning_rate": 0.003769230769230769,
"loss": 1.1882,
"step": 320
},
{
"epoch": 2.5384615384615383,
"grad_norm": 0.5831055045127869,
"learning_rate": 0.003730769230769231,
"loss": 1.2764,
"step": 330
},
{
"epoch": 2.6153846153846154,
"grad_norm": 0.9471529126167297,
"learning_rate": 0.0036923076923076927,
"loss": 1.349,
"step": 340
},
{
"epoch": 2.6923076923076925,
"grad_norm": 0.6033434867858887,
"learning_rate": 0.003653846153846154,
"loss": 1.1626,
"step": 350
},
{
"epoch": 2.769230769230769,
"grad_norm": 0.322643518447876,
"learning_rate": 0.0036153846153846154,
"loss": 1.1705,
"step": 360
},
{
"epoch": 2.8461538461538463,
"grad_norm": 0.6473853588104248,
"learning_rate": 0.003576923076923077,
"loss": 1.1492,
"step": 370
},
{
"epoch": 2.9230769230769234,
"grad_norm": 0.4563555121421814,
"learning_rate": 0.003538461538461539,
"loss": 1.1009,
"step": 380
},
{
"epoch": 3.0,
"grad_norm": 0.6773648858070374,
"learning_rate": 0.0034999999999999996,
"loss": 1.1322,
"step": 390
},
{
"epoch": 3.0,
"eval_runtime": 0.7629,
"eval_samples_per_second": 174.339,
"eval_steps_per_second": 22.284,
"step": 390
},
{
"epoch": 3.076923076923077,
"grad_norm": 0.499421089887619,
"learning_rate": 0.0034615384615384616,
"loss": 1.0926,
"step": 400
},
{
"epoch": 3.1538461538461537,
"grad_norm": 0.20487019419670105,
"learning_rate": 0.003423076923076923,
"loss": 1.129,
"step": 410
},
{
"epoch": 3.230769230769231,
"grad_norm": 0.5652111172676086,
"learning_rate": 0.003384615384615385,
"loss": 1.0965,
"step": 420
},
{
"epoch": 3.3076923076923075,
"grad_norm": 0.5159160494804382,
"learning_rate": 0.003346153846153846,
"loss": 1.0865,
"step": 430
},
{
"epoch": 3.3846153846153846,
"grad_norm": 0.5972450971603394,
"learning_rate": 0.0033076923076923075,
"loss": 1.1468,
"step": 440
},
{
"epoch": 3.4615384615384617,
"grad_norm": 0.4497612714767456,
"learning_rate": 0.0032692307692307695,
"loss": 1.0972,
"step": 450
},
{
"epoch": 3.5384615384615383,
"grad_norm": 0.8494599461555481,
"learning_rate": 0.003230769230769231,
"loss": 1.1196,
"step": 460
},
{
"epoch": 3.6153846153846154,
"grad_norm": 0.21025516092777252,
"learning_rate": 0.003192307692307692,
"loss": 1.1336,
"step": 470
},
{
"epoch": 3.6923076923076925,
"grad_norm": 0.5746878385543823,
"learning_rate": 0.0031538461538461538,
"loss": 1.0988,
"step": 480
},
{
"epoch": 3.769230769230769,
"grad_norm": 0.20434798300266266,
"learning_rate": 0.0031153846153846153,
"loss": 1.1101,
"step": 490
},
{
"epoch": 3.8461538461538463,
"grad_norm": 0.15725131332874298,
"learning_rate": 0.0030769230769230774,
"loss": 1.1133,
"step": 500
},
{
"epoch": 3.9230769230769234,
"grad_norm": 0.12141856551170349,
"learning_rate": 0.0030384615384615385,
"loss": 1.0987,
"step": 510
},
{
"epoch": 4.0,
"grad_norm": 1.1281518936157227,
"learning_rate": 0.003,
"loss": 1.1021,
"step": 520
},
{
"epoch": 4.0,
"eval_runtime": 0.7744,
"eval_samples_per_second": 171.736,
"eval_steps_per_second": 21.951,
"step": 520
},
{
"epoch": 4.076923076923077,
"grad_norm": 0.5692263841629028,
"learning_rate": 0.0029615384615384616,
"loss": 1.1032,
"step": 530
},
{
"epoch": 4.153846153846154,
"grad_norm": 0.21811030805110931,
"learning_rate": 0.002923076923076923,
"loss": 1.096,
"step": 540
},
{
"epoch": 4.230769230769231,
"grad_norm": 0.44653287529945374,
"learning_rate": 0.0028846153846153843,
"loss": 1.0986,
"step": 550
},
{
"epoch": 4.3076923076923075,
"grad_norm": 0.4496428966522217,
"learning_rate": 0.002846153846153846,
"loss": 1.1244,
"step": 560
},
{
"epoch": 4.384615384615385,
"grad_norm": 0.34072381258010864,
"learning_rate": 0.002807692307692308,
"loss": 1.0982,
"step": 570
},
{
"epoch": 4.461538461538462,
"grad_norm": 0.617884635925293,
"learning_rate": 0.0027692307692307695,
"loss": 1.1137,
"step": 580
},
{
"epoch": 4.538461538461538,
"grad_norm": 0.3251841068267822,
"learning_rate": 0.0027307692307692306,
"loss": 1.1054,
"step": 590
},
{
"epoch": 4.615384615384615,
"grad_norm": 0.11284901946783066,
"learning_rate": 0.002692307692307692,
"loss": 1.0981,
"step": 600
},
{
"epoch": 4.6923076923076925,
"grad_norm": 0.802207887172699,
"learning_rate": 0.0026538461538461538,
"loss": 1.1134,
"step": 610
},
{
"epoch": 4.769230769230769,
"grad_norm": 0.22614385187625885,
"learning_rate": 0.0026153846153846158,
"loss": 1.1155,
"step": 620
},
{
"epoch": 4.846153846153846,
"grad_norm": 0.3756657838821411,
"learning_rate": 0.002576923076923077,
"loss": 1.1113,
"step": 630
},
{
"epoch": 4.923076923076923,
"grad_norm": 0.6828984618186951,
"learning_rate": 0.0025384615384615385,
"loss": 1.1249,
"step": 640
},
{
"epoch": 5.0,
"grad_norm": 1.2701197862625122,
"learning_rate": 0.0025,
"loss": 1.102,
"step": 650
},
{
"epoch": 5.0,
"eval_runtime": 0.7836,
"eval_samples_per_second": 169.724,
"eval_steps_per_second": 21.694,
"step": 650
},
{
"epoch": 5.076923076923077,
"grad_norm": 0.30358830094337463,
"learning_rate": 0.0024615384615384616,
"loss": 1.1044,
"step": 660
},
{
"epoch": 5.153846153846154,
"grad_norm": 0.42961689829826355,
"learning_rate": 0.002423076923076923,
"loss": 1.0977,
"step": 670
},
{
"epoch": 5.230769230769231,
"grad_norm": 0.24340471625328064,
"learning_rate": 0.0023846153846153848,
"loss": 1.1379,
"step": 680
},
{
"epoch": 5.3076923076923075,
"grad_norm": 0.9648124575614929,
"learning_rate": 0.0023461538461538463,
"loss": 1.1314,
"step": 690
},
{
"epoch": 5.384615384615385,
"grad_norm": 0.6379570960998535,
"learning_rate": 0.002307692307692308,
"loss": 1.1104,
"step": 700
},
{
"epoch": 5.461538461538462,
"grad_norm": 0.32133665680885315,
"learning_rate": 0.0022692307692307695,
"loss": 1.1061,
"step": 710
},
{
"epoch": 5.538461538461538,
"grad_norm": 0.314644455909729,
"learning_rate": 0.002230769230769231,
"loss": 1.1035,
"step": 720
},
{
"epoch": 5.615384615384615,
"grad_norm": 0.4097970128059387,
"learning_rate": 0.002192307692307692,
"loss": 1.1035,
"step": 730
},
{
"epoch": 5.6923076923076925,
"grad_norm": 0.3651571273803711,
"learning_rate": 0.002153846153846154,
"loss": 1.1071,
"step": 740
},
{
"epoch": 5.769230769230769,
"grad_norm": 0.30447086691856384,
"learning_rate": 0.0021153846153846153,
"loss": 1.1048,
"step": 750
},
{
"epoch": 5.846153846153846,
"grad_norm": 0.35882461071014404,
"learning_rate": 0.002076923076923077,
"loss": 1.106,
"step": 760
},
{
"epoch": 5.923076923076923,
"grad_norm": 0.6777219772338867,
"learning_rate": 0.0020384615384615385,
"loss": 1.101,
"step": 770
},
{
"epoch": 6.0,
"grad_norm": 1.031847357749939,
"learning_rate": 0.002,
"loss": 1.1027,
"step": 780
},
{
"epoch": 6.0,
"eval_runtime": 0.7774,
"eval_samples_per_second": 171.09,
"eval_steps_per_second": 21.869,
"step": 780
},
{
"epoch": 6.076923076923077,
"grad_norm": 0.43265023827552795,
"learning_rate": 0.0019615384615384616,
"loss": 1.104,
"step": 790
},
{
"epoch": 6.153846153846154,
"grad_norm": 0.4353933334350586,
"learning_rate": 0.0019230769230769232,
"loss": 1.099,
"step": 800
},
{
"epoch": 6.230769230769231,
"grad_norm": 0.11455998569726944,
"learning_rate": 0.0018846153846153845,
"loss": 1.0985,
"step": 810
},
{
"epoch": 6.3076923076923075,
"grad_norm": 0.1155104711651802,
"learning_rate": 0.0018461538461538463,
"loss": 1.1026,
"step": 820
},
{
"epoch": 6.384615384615385,
"grad_norm": 0.44076037406921387,
"learning_rate": 0.0018076923076923077,
"loss": 1.0985,
"step": 830
},
{
"epoch": 6.461538461538462,
"grad_norm": 0.5386171936988831,
"learning_rate": 0.0017692307692307695,
"loss": 1.1025,
"step": 840
},
{
"epoch": 6.538461538461538,
"grad_norm": 0.611710786819458,
"learning_rate": 0.0017307692307692308,
"loss": 1.0992,
"step": 850
},
{
"epoch": 6.615384615384615,
"grad_norm": 0.2715957760810852,
"learning_rate": 0.0016923076923076924,
"loss": 1.1008,
"step": 860
},
{
"epoch": 6.6923076923076925,
"grad_norm": 0.4223721921443939,
"learning_rate": 0.0016538461538461537,
"loss": 1.089,
"step": 870
},
{
"epoch": 6.769230769230769,
"grad_norm": 0.14638401567935944,
"learning_rate": 0.0016153846153846155,
"loss": 1.1237,
"step": 880
},
{
"epoch": 6.846153846153846,
"grad_norm": 0.32549309730529785,
"learning_rate": 0.0015769230769230769,
"loss": 1.1031,
"step": 890
},
{
"epoch": 6.923076923076923,
"grad_norm": 0.4604528844356537,
"learning_rate": 0.0015384615384615387,
"loss": 1.1001,
"step": 900
},
{
"epoch": 7.0,
"grad_norm": 0.5566179156303406,
"learning_rate": 0.0015,
"loss": 1.0954,
"step": 910
},
{
"epoch": 7.0,
"eval_runtime": 0.7823,
"eval_samples_per_second": 170.021,
"eval_steps_per_second": 21.732,
"step": 910
},
{
"epoch": 7.076923076923077,
"grad_norm": 0.5109624266624451,
"learning_rate": 0.0014615384615384616,
"loss": 1.1043,
"step": 920
},
{
"epoch": 7.153846153846154,
"grad_norm": 0.5437686443328857,
"learning_rate": 0.001423076923076923,
"loss": 1.1055,
"step": 930
},
{
"epoch": 7.230769230769231,
"grad_norm": 0.6647012233734131,
"learning_rate": 0.0013846153846153847,
"loss": 1.1021,
"step": 940
},
{
"epoch": 7.3076923076923075,
"grad_norm": 0.4888548254966736,
"learning_rate": 0.001346153846153846,
"loss": 1.0968,
"step": 950
},
{
"epoch": 7.384615384615385,
"grad_norm": 0.26103150844573975,
"learning_rate": 0.0013076923076923079,
"loss": 1.104,
"step": 960
},
{
"epoch": 7.461538461538462,
"grad_norm": 0.2501744031906128,
"learning_rate": 0.0012692307692307692,
"loss": 1.1008,
"step": 970
},
{
"epoch": 7.538461538461538,
"grad_norm": 0.37639835476875305,
"learning_rate": 0.0012307692307692308,
"loss": 1.0998,
"step": 980
},
{
"epoch": 7.615384615384615,
"grad_norm": 0.23087725043296814,
"learning_rate": 0.0011923076923076924,
"loss": 1.0979,
"step": 990
},
{
"epoch": 7.6923076923076925,
"grad_norm": 0.3334718644618988,
"learning_rate": 0.001153846153846154,
"loss": 1.1068,
"step": 1000
},
{
"epoch": 7.769230769230769,
"grad_norm": 0.5154008865356445,
"learning_rate": 0.0011153846153846155,
"loss": 1.099,
"step": 1010
},
{
"epoch": 7.846153846153846,
"grad_norm": 0.2505805492401123,
"learning_rate": 0.001076923076923077,
"loss": 1.0985,
"step": 1020
},
{
"epoch": 7.923076923076923,
"grad_norm": 0.47592583298683167,
"learning_rate": 0.0010384615384615384,
"loss": 1.0968,
"step": 1030
},
{
"epoch": 8.0,
"grad_norm": 0.4868021309375763,
"learning_rate": 0.001,
"loss": 1.1047,
"step": 1040
},
{
"epoch": 8.0,
"eval_runtime": 0.7757,
"eval_samples_per_second": 171.462,
"eval_steps_per_second": 21.916,
"step": 1040
},
{
"epoch": 8.076923076923077,
"grad_norm": 0.12491131573915482,
"learning_rate": 0.0009615384615384616,
"loss": 1.0981,
"step": 1050
},
{
"epoch": 8.153846153846153,
"grad_norm": 0.23577113449573517,
"learning_rate": 0.0009230769230769232,
"loss": 1.0998,
"step": 1060
},
{
"epoch": 8.23076923076923,
"grad_norm": 0.12919014692306519,
"learning_rate": 0.0008846153846153847,
"loss": 1.098,
"step": 1070
},
{
"epoch": 8.307692307692308,
"grad_norm": 0.11554103344678879,
"learning_rate": 0.0008461538461538462,
"loss": 1.099,
"step": 1080
},
{
"epoch": 8.384615384615385,
"grad_norm": 0.3568715751171112,
"learning_rate": 0.0008076923076923078,
"loss": 1.0935,
"step": 1090
},
{
"epoch": 8.461538461538462,
"grad_norm": 0.4273003041744232,
"learning_rate": 0.0007692307692307693,
"loss": 1.1025,
"step": 1100
},
{
"epoch": 8.538461538461538,
"grad_norm": 0.11346741020679474,
"learning_rate": 0.0007307692307692308,
"loss": 1.1079,
"step": 1110
},
{
"epoch": 8.615384615384615,
"grad_norm": 0.5924614667892456,
"learning_rate": 0.0006923076923076924,
"loss": 1.095,
"step": 1120
},
{
"epoch": 8.692307692307692,
"grad_norm": 0.8924316763877869,
"learning_rate": 0.0006538461538461539,
"loss": 1.0969,
"step": 1130
},
{
"epoch": 8.76923076923077,
"grad_norm": 0.14277611672878265,
"learning_rate": 0.0006153846153846154,
"loss": 1.112,
"step": 1140
},
{
"epoch": 8.846153846153847,
"grad_norm": 0.29049235582351685,
"learning_rate": 0.000576923076923077,
"loss": 1.0914,
"step": 1150
},
{
"epoch": 8.923076923076923,
"grad_norm": 0.5114134550094604,
"learning_rate": 0.0005384615384615385,
"loss": 1.1061,
"step": 1160
},
{
"epoch": 9.0,
"grad_norm": 1.142321228981018,
"learning_rate": 0.0005,
"loss": 1.1105,
"step": 1170
},
{
"epoch": 9.0,
"eval_runtime": 0.781,
"eval_samples_per_second": 170.284,
"eval_steps_per_second": 21.766,
"step": 1170
},
{
"epoch": 9.076923076923077,
"grad_norm": 0.12881995737552643,
"learning_rate": 0.0004615384615384616,
"loss": 1.0994,
"step": 1180
},
{
"epoch": 9.153846153846153,
"grad_norm": 0.12638165056705475,
"learning_rate": 0.0004230769230769231,
"loss": 1.0982,
"step": 1190
},
{
"epoch": 9.23076923076923,
"grad_norm": 0.13503584265708923,
"learning_rate": 0.00038461538461538467,
"loss": 1.0996,
"step": 1200
},
{
"epoch": 9.307692307692308,
"grad_norm": 0.23928503692150116,
"learning_rate": 0.0003461538461538462,
"loss": 1.1,
"step": 1210
},
{
"epoch": 9.384615384615385,
"grad_norm": 0.14712156355381012,
"learning_rate": 0.0003076923076923077,
"loss": 1.1033,
"step": 1220
},
{
"epoch": 9.461538461538462,
"grad_norm": 0.603887140750885,
"learning_rate": 0.0002692307692307693,
"loss": 1.0979,
"step": 1230
},
{
"epoch": 9.538461538461538,
"grad_norm": 0.34505996108055115,
"learning_rate": 0.0002307692307692308,
"loss": 1.0977,
"step": 1240
},
{
"epoch": 9.615384615384615,
"grad_norm": 0.11722344160079956,
"learning_rate": 0.00019230769230769233,
"loss": 1.1001,
"step": 1250
},
{
"epoch": 9.692307692307692,
"grad_norm": 0.33938324451446533,
"learning_rate": 0.00015384615384615385,
"loss": 1.0988,
"step": 1260
},
{
"epoch": 9.76923076923077,
"grad_norm": 0.1380094438791275,
"learning_rate": 0.0001153846153846154,
"loss": 1.1004,
"step": 1270
},
{
"epoch": 9.846153846153847,
"grad_norm": 0.2527919411659241,
"learning_rate": 7.692307692307693e-05,
"loss": 1.0999,
"step": 1280
},
{
"epoch": 9.923076923076923,
"grad_norm": 0.316256582736969,
"learning_rate": 3.846153846153846e-05,
"loss": 1.0984,
"step": 1290
},
{
"epoch": 10.0,
"grad_norm": 0.4816994071006775,
"learning_rate": 0.0,
"loss": 1.0979,
"step": 1300
},
{
"epoch": 10.0,
"eval_runtime": 0.7911,
"eval_samples_per_second": 168.13,
"eval_steps_per_second": 21.49,
"step": 1300
},
{
"epoch": 10.0,
"step": 1300,
"total_flos": 8.400578669044531e+17,
"train_loss": 0.9780362775692573,
"train_runtime": 138.3381,
"train_samples_per_second": 74.744,
"train_steps_per_second": 9.397
}
],
"logging_steps": 10,
"max_steps": 1300,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"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": 8.400578669044531e+17,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}